Skip to main content

REVIEW article

Front. Chem., 12 May 2022
Sec. Chemical Biology
This article is part of the Research Topic Innovators in Chemical Biology View all 12 articles

Deciphering the Structure and Formation of Amyloids in Neurodegenerative Diseases With Chemical Biology Tools

  • 1University Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1167 - RID-AGE - Risk Factors and Molecular Determinants of Aging-Related Diseases, Lille, France
  • 2CNRS EMR9002 Integrative Structural Biology, Lille, France

Protein aggregation into highly ordered, regularly repeated cross-β sheet structures called amyloid fibrils is closely associated to human disorders such as neurodegenerative diseases including Alzheimer’s and Parkinson’s diseases, or systemic diseases like type II diabetes. Yet, in some cases, such as the HET-s prion, amyloids have biological functions. High-resolution structures of amyloids fibrils from cryo-electron microscopy have very recently highlighted their ultrastructural organization and polymorphisms. However, the molecular mechanisms and the role of co-factors (posttranslational modifications, non-proteinaceous components and other proteins) acting on the fibril formation are still poorly understood. Whether amyloid fibrils play a toxic or protective role in the pathogenesis of neurodegenerative diseases remains to be elucidated. Furthermore, such aberrant protein-protein interactions challenge the search of small-molecule drugs or immunotherapy approaches targeting amyloid formation. In this review, we describe how chemical biology tools contribute to new insights on the mode of action of amyloidogenic proteins and peptides, defining their structural signature and aggregation pathways by capturing their molecular details and conformational heterogeneity. Challenging the imagination of scientists, this constantly expanding field provides crucial tools to unravel mechanistic detail of amyloid formation such as semisynthetic proteins and small-molecule sensors of conformational changes and/or aggregation. Protein engineering methods and bioorthogonal chemistry for the introduction of protein chemical modifications are additional fruitful strategies to tackle the challenge of understanding amyloid formation.

1 Introduction

Amyloids correspond to amorphous deposits of insoluble proteinaceous materials that are found in a variety of body tissues and organs. Amyloidoses is a group of diseases associated with amyloid deposits, including localized amyloidoses such as many neurodegenerative disorders (NDs) or type-II diabetes mellitus, and systemic amyloidoses. Amyloidoses can be also defined as “protein misfolding diseases” since their molecular basis relies on misfolding as an early event in the amyloid transformation (Benson et al., 2018; Benson et al., 2020). Indeed, the amyloid-forming protein converts into an abnormal, misfolded conformation from the same primary sequence that otherwise encodes either its native functional structure for globular proteins or its unfolded, dynamic conformational ensemble for intrinsically disordered proteins (IDPs) (Dobson, 2003; Knowles et al., 2014). Genetic alterations leading to protein misfolding may increase protein aggregation rate, modify mRNA splicing or impact the protein lifecycle. Moreover, changes in the oxidation state, posttranslational modification (PTM) patterns, protein interaction networks or environmental factors can trigger amyloid transformation without involvement of any mutation. Ultimately, protein misfolding results in a “loss-of-function” and/or a “gain-of-toxic function” (Winklhofer et al., 2008). However, amyloid formation cannot be strictly reduced to a defect of protein folding: defects in the cellular machinery of protein folding and quality control (mediated by molecular chaperones) or protein homeostasis (mediated by the proteasome and the lyzosomes) often associated to ageing are major players in the process. Cellular responses to external stimuli might in addition participate in the process by inducing incorrect protein trafficking, mislocalization, and aberrant interactions with aggregates or “seeds”. Mislocalization can give rise to changes in the oxidation state, in the PTM patterns or levels, and in the protein interaction networks (Yan et al., 2013; Ke et al., 2020).

Natively folded proteins involved in amyloidosis are for instance transthyretin (TTR) associated to familial amyloidotic cardiomyopathy, superoxide dismutase-1 (SOD-1) and transactive response DNA binding protein 43 (TDP-43) associated to familial amyotrophic lateral sclerosis (fALS), Huntingtin (Htt) associated to Huntington’s disease (HD), or the cellular form of prion protein PrPC associated to prion diseases or transmissible spongiform encephalopathies (TSEs). The latter are the only transmissible neurodegenerative diseases identified to date arising from proteinaceous infectious particles (i.e., without involvement of any nucleic acid) called prions (PrPSc) (Prusiner, 1982; Aguzzi and Calella, 2009). The IDP class includes the β-amyloid peptide (Aβ) as one of the sequential proteolysis products of amyloid precursor protein (APP) in Alzheimer’s disease (AD), tau protein in AD and other tauopathies, α-synuclein in Parkinson’s disease (PD), and islet amyloid polypeptide (IAPP) in type II diabetes (Figure 1). It should be noted that IDPs or alternatively long intrinsically disordered regions (IDRs), have generally important signaling and regulatory functions despite their disordered nature, acting as scaffolds for versatile interactions with multiple binding partners in cell signaling or to stabilize large structural components of the cells (Morris et al., 2011).

FIGURE 1
www.frontiersin.org

FIGURE 1. Amyloid proteins involved in neurodegenerative diseases (tau, Aβ, α-synuclein, TDP-43 and Huntingtin), and their amyloid folds and polymorphs. Scheme of protein sequences highlighting domains, and eventually isoforms are presented (left). For tau protein, some prominent pathological phospho-epitopes (AT8, AT180, PHF-1) associated to tauopathies are indicated. N1, N2, N-terminal inserts; R1-R4, microtubule-binding repeats 1 to 4; NAC, non-amyloid-β component; NTD, N-terminal domain; NLS, nuclear localization signal; RRM, RNA Recognition Motifs; LCD, low complexity domain; N17, 17-residue N-terminal region; PRD, proline-rich domain; polyQ, polyglutamine; HEAT, HEAT repeats. The solution NMR structure of micelle-bound α-synuclein is depicted. Some PTM sites studied by chemical ligation and/or chemical mutagenesis are indicated. The cryo-EM structures of representative fibrils from individual brains (grey structures) and synthetic fibrils (blue structures) highlight structural discrepancies pointing to the role of trans-acting cofactors and PTMs of amyloid proteins in the amyloidogenic process. For a more comprehensive description of the multiple tau folds associated to diverse tauopathies and their classification, refer to (Shi et al., 2021). AD, Alzheimer’s disease; CBD, corticobasal degeneration; PiD, Pick’s disease; MSA, multiple system atrophy; ALS with FTLD, amyotrophic lateral sclerosis with frontotemporal lobar degeneration.

First histologically stained with Congo red, amyloids are widely detected with Thioflavin S (ThS) or Thioflavin T (ThT) fluorescent dyes that are used for both histological staining and the in vitro kinetics follow-up of amyloid assembly. In tissues, amyloids can be visualized under polarized light using the apple-green birefringent properties of the bound Congo red dye owing to its specific orientation in the regular arrangement of amyloid’s proteinaceous component (Howie and Brewer, 2009). For clinical use, aggregated amyloid imaging involves the search of radioligands for positron emission tomography (PET) that enable the noninvasive detection of amyloids in the brain with either pan-amyloids or, recently developed, selective imaging agents for diagnosis purpose like Pittsburgh compound B (PiB) targeting Aβ (Shin et al., 2011; Mathis et al., 2017).

In 1950s, electron microscopy shed light into their fibrillary structure while X-ray diffraction showed a typical pattern of structures dominating by β-sheet conformations. The fibrillar structure of amyloids is constituted by the assembly of a given protein -or part of it-as a repetition unit in a cross β-sheet conformation running perpendicular to the fibril axis (Figure 1). At low resolution as investigated by electron or atomic force microscopy, or by spectroscopic methods such as Fourier transform infrared spectroscopy or circular dichroism, amyloids from multiple origins share structural and spectroscopic similarities.

The investigations of amyloid structures at high resolution has benefited from the development of biophysical approaches such as X-ray crystallography, solid-state nuclear magnetic resonance (ssNMR) or more recently, cryo-electron microscopy (cryo-EM). The latter enables now to distinguish between diseases with close clinical features but associated to distinct strains (Shi et al., 2021). However, despite the abundance of structural and kinetics studies of amyloid proteins, external stimuli or stress signals as well as the molecular mechanisms that drive a native functional conformation to protein misfolding from the same primary sequence are not yet fully understood. Moreover, prediction of amyloid folds is still an issue since amyloid assembly is not limited to intramolecular contacts (Anfinsen et al., 1961; Anfinsen, 1973; Jumper et al., 2021; Tunyasuvunakool et al., 2021). Therefore, structure predictions based on protein sequence or evolution-based approaches could not be properly applied to protein aggregation and pathological amyloid fibrils that also make use of intermolecular interactions and are not evolutionarily selected (Pinheiro et al., 2021).

In view of the causative roles that the amyloids have in a large number of diseases with yet unmet medical need, understanding their formation and structure is a priority. This is also a challenge due their solid-like state, polymorphic nature, the multi-causative aspect of amyloidosis, the various organs and tissues affected by the process and the complex mechanistic steps of their formation. New tools issued from chemical biology are much needed to address these challenges in research, and open the way to innovative therapies.

2 Assembly, Properties and Propagation of Amyloid Fibrils in Neurodegenerative Diseases

2.1 Amyloid Structure and Formation

Amyloid fibrils are very stable protein assemblies at the thermodynamic (Buell et al., 2014) and mechanic (Knowles et al., 2007; Buehler and Cranford, 2010; Knowles and Buehler, 2011; Herling et al., 2015) levels due to the combination of both a tight packing of the polypeptide backbone into stacked β-sheets and intertwining of residue side chains. These cross-β structures result invariably in long, unbranched filaments. Hence, the amyloid core is stabilized by a wide array of non-covalent interactions and this packing by far exceeds the stability of the native 3D fold. However, hydrogen bonding interactions engaging the polypeptide main chain are prevalent explaining the structural similarity between amyloids despite the variety of protein sequences in sharp contrast with protein native state involving a great number of native contacts between side chains of key residues (Fandrich, 2002; Dobson, 2003). Despite this apparent simplicity, amyloid can take a large number of distinct folds illustrating their intricate structures and remarkable heterogeneity. Unexpectedly, an identical sequence can adopt several folds called polymorphs or strains, associated with different diseases, and even coexist in a single disease such as tau protein or Aβ42 in AD (Fitzpatrick et al., 2017; Yang et al., 2022).

Amyloid structures are only a single, yet peculiar, class of aggregates that can build up from a misfolded or denatured protein that stems either from an IDP or an initially folded protein for which secondary structures were reassigned. As every conformer, their formation depends on both thermodynamics (relative free energy) and kinetics parameters (interconversion rates) that confer stability (Baldwin et al., 2011; Buell et al., 2014). In addition, tight packing of the amyloid core is responsible for a lack of polypeptide chain accessibility to degradation (Novak et al., 1993) that confer to amyloids an increased lifetime (Makin et al., 2005). Amyloid formation mainly consists of three main stages defined as nucleation, growth and maturation. During the nucleation step, metastable species expose aggregation-prone sequences that self-associate into soluble oligomers or amorphous aggregates that serves as nuclei of the fibrillization process. Then, the fibrils rapidly grow during the elongation phase by an autocatalytic mechanism involving the addition of new monomers to the nuclei or seeds that convert their conformation into the templated amyloid fold resulting in insoluble, ordered structures with fibril-like morphologies. Prefibrillar aggregates or seeds evolved into fibrils or eventually, may be involved in amplifying aggregation through a secondary nucleation mechanism that catalyzes fibril assembly at the seed surface or upon fibril fragmentation (Cohen et al., 2013; Meisl et al., 2014; Gaspar et al., 2017; Rodriguez Camargo et al., 2021). This process was described as secondary nucleation since it requires the formation of protofibrils or pre-fibrillar species to be effective. Finally, during the fibril maturation, the protofilaments formed during the growth phase associate through protein-protein interactions at the protofilament interfaces to form high-ordered fibrillar structures as seen by electron or atomic force microscopy. In cells, the maturation step may involve other proteinaceous components and PTMs including proteolysis leading ultimately to fibrillar deposits (Kimura et al., 1996; Braak et al., 2006; Aragão Gomes et al., 2021). The protofilaments can thus assemble into diverse interfaces leading to different morphologies or strains in the eye of the electron microscope. Some of them are periodic structures such as Paired Helical Filaments (PHFs) observed in AD by negative staining transmission electron microscopy (TEM) in which a pair of protofilaments assemble by twisting around each other with a helical turn period of about 80 nm (Kidd, 1963).

Very recently, cryo-EM, remarkably exploited by Goedert, Scheres and collaborators, provides structural details at near-atomic resolution on amyloid folds of tau protein either from patients with various tauopathies or made in vitro with heparin as aggregation inducer (Fitzpatrick et al., 2017; Falcon et al., 2018a; Falcon et al., 2018b; Zhang et al., 2019a; Falcon et al., 2019; Zhang et al., 2020) highlighting profound structural discrepancies. The same has been noted for fibrils of α-synuclein, wild-type or mutants, in synucleinopathies (Li et al., 2018a; Li et al., 2018b; Guerrero-Ferreira et al., 2018; Guerrero-Ferreira et al., 2020; Schweighauser et al., 2020) or TDP-43 in ALS/FTD (amyotrophic lateral sclerosis/frontotemporal dementia) (Arseni et al., 2021) and synthetic filaments. Each new fibril structure solved by cryo-EM from different diseases highlights the incredible plasticity of protein sequences of various origins to adopt multiple amyloid folds as well as the complexity of cofactors that shape the final amyloid structure and the misfolding pathway (Diaz-Espinoza, 2021). In the case of tau protein, the involvement of several protein isoforms in patients’ fibrils (either by a combination of the 3R/4R isoforms, as in AD, or exclusively 3R, as in Pick’s disease, or 4R isoforms, as in corticobasal degeneration) is in part responsible of distinct folds of tau in tauopathies. Interestingly, the amyloid folds of tau between distinct tauopathies are different, but individuals with the same disease share an identical fold. Actually, tau folds into either three or four layers when embedded in filaments, each categories being divided into distinct folds thereby suggesting a possible hierarchical classification of diseases based on tau amyloid folds (Shi et al., 2021).

Remarkably, in most instances, the region encompassed within the fibril core only represents part of the protein sequence while a large, if not the most part of the protein, retains a high degree of flexibility and accessibility, and projects from the fibril core. For example, in the case of tau protein, the ratio of residues involved in the fibril core can be as low as roughly 20% of the largest isoform (Fitzpatrick et al., 2017; Falcon et al., 2019; Zhang et al., 2020; Shi et al., 2021). The remaining of the sequence, i.e. the N- and C-terminal segments, forms a “fuzzy coat” around the amyloid core (Wegmann et al., 2013). First suggested by negative-staining and scanning TEM (Wischik et al., 1988), the structurally variable regions of tau fibrils largely escape further structural characterization by cryo-EM or ssNMR (Andronesi et al., 2008). They can still be addressed by ensemble-based methods such as solution-state NMR (Sillen et al., 2005; Bibow et al., 2011; Lippens et al., 2016) as well as fluorescence-based single-molecule approaches that enables dissecting low-populated, transient states that form during the amyloid assembly including oligomers or secondary nucleation processes (Kundel et al., 2018a; Kundel et al., 2018b; Kjaergaard et al., 2018; Rice et al., 2021; Yang et al., 2021). These structurally dynamic, disordered regions yet deserve particular attention as they can play a regulatory role in amyloid fibril formation especially through their abundant and diverse PTMs including truncations (Morris et al., 2015; Despres et al., 2017).

Cryo-EM has become prominent for the structural analysis of macromolecules from postmortem tissues at a near-atomic resolution (Figure 1). Cryo-EM structures point toward a role of cofactors and PTMs in fibril assembly and polymorphism (Li and Liu, 2021). Indeed, unresolved, non-proteinaceous densities (Falcon et al., 2019; Schweighauser et al., 2020; Zhang et al., 2020; Arseni et al., 2021; Shi et al., 2021), or (poly)ubiquitin chains (Arakhamia et al., 2020) were found in the vicinity of fibril surfaces made of tau, α-synuclein or TDP-43 proteins. Beyond their potential participation to the amyloidogenic transformation, these protein and non-protein entities highlight interfaces that could be targeted to prevent fibril assembly or disrupt existing fibrils. Even though atomic details were not observed for PTMs corresponding to the addition of small chemical groups such as Ser/Thr/Tyr phosphorylation, or Lys acetylation and methylation, these modifications are definitely present in fibrillar structures extracted from patient brains as detected by MS methods although heterogeneity or location outside the fibril core in adjacent flexible regions correspond to weaker densities or no density at all in cryo-EM high-resolution maps leaving open the role of these PTMs in fibrillogenesis, fibril packing and stabilization, and polymorph selection. Finally, the structure of the amyloid fibril as a final product provide no clue about the mechanism and kinetics as well as the intermediate structures that appears along the fibrillization process.

2.2 Features and Properties Related to Amyloids

Mature fibrillar assemblies, as histopathological hallmarks of amyloidoses, have long been considered as the causal agent of disease pathogenesis. In AD, a toxic “gain-of-function” is tightly related to the formation of amyloid structures that at least partly correlates with clinical manifestations when a certain amount of aggregates and/or certain brain areas were affected (Chung et al., 2018). It has also become clear that small aggregates formed early during the fibrillization process, referred to as oligomers or prefibrillar species, would be the most toxic species and more damaging to neurons than fibrils (Caughey and Lansbury, 2003). Hence, it has been argued they are most probably best targets than fibrillar species from a therapeutic perspective. However, as metastable assemblies of heterogenous composition and structure, their molecular description with experimental methods are scarce. Atomic details of amyloid structures from combination of experimental models (ssNMR, X-ray, AFM, TEM) were complemented by molecular dynamics simulations. Simulations provide details at different aggregation stages of amyloid peptides such as Aβ40/42, tau, α-synuclein ranging from the monomeric to the oligomeric states and protofibrils up to amyloid fibrils (Nasica-Labouze et al., 2015; Ilie and Caflisch, 2019; Nguyen et al., 2021). For example, structures of low-populated intermediates of Aβ or IAPP were trapped in NMR or X-ray studies and observed in computational studies. Such models provide a molecular basis for pharmacological targeting of early, on-pathway aggregation species. While experimental models give time- and space-averaged properties, computational models offer a view of dominant states in the aggregation pathway by sampling various time and length scales and using different representations such as the all-atom, the coarse-grained and mesoscopic models. The major issues relate on the accuracy of the force field, the concentration of monomers, and the limited size of the simulated system. Moreover, the simulation time is several orders of magnitude less than the time of in vitro or in vivo fibrillar assembly that takes typically several hours up to several days. Besides the investigations of the early steps of aggregation and the mechanism of fibril elongation, interactions with cell membrane or metal ions, the role of PTM and complex coacervation (e.g., for tau protein) can also be explored with computational methods as discussed in comprehensive reviews (Nasica-Labouze et al., 2015; Ilie and Caflisch, 2019; Nguyen et al., 2021). Furthermore, a crosstalk between an amyloid conformation, or strain, and a naive amyloid-prone protein is a critical event in neurodegenerative diseases (Soto and Pritzkow, 2018). The ability of amyloid to convert normal protein conformers into new amyloid conformations is a process coined as seeding in which “seeds”, an elusive term with respect to their composition and structure, act as templates of their self-copy. Hence, the main property of seeds is the imprinting of the misfolded conformation as a “conformational memory” that may be structurally propagated over several seeding generations (Frost et al., 2009; Nizynski et al., 2018). This is another aspect in favor of the irreversible cellular accumulation of amyloids once they have started forming. Moreover, the amyloid transformation of a given protein could also be triggered in a process named “cross-seeding” by heterologous seeds, i.e., seeds formed by a heterologous protein, be it from an unrelated protein, another isoform or a mutant form of the same protein. To implement innovative therapeutic routes in amyloid diseases, understanding the mechanisms of amyloid formation and emphasizing critical molecular species along the pathway are of the highest importance.

According to Braak staging, proteinaceous lesions of PD and AD progress through the brain in a spatiotemporal manner (Braak and Braak, 1991; Braak and Braak, 1995; Braak et al., 2004). They first start at defined, selectively vulnerable brain sites depending on the pathology, and gradually extend to neighboring neurons and distant brain structures through connected neurons. Overall, these pathologies progress silently over years before becoming symptomatic. Hence, it has been suggested that spreading of pathological amyloid species by cell-to-cell transmission is not confined to the sole prion proteins (Prusiner, 1982). By templating their own replication, many misfolded proteins including α-synuclein (Luk et al., 2012), β-amyloid (Ruiz-Riquelme et al., 2018), tau (Braak and Del Tredici, 2018) and huntingtin (Pearce and Kopito, 2018) behave like infectious prions by propagating seeds of various structures from a donor cell in a so-called “prion-like” spreading that results in the formation of amyloid aggregates in recipient cells (Mudher et al., 2017). However, the “prion-like” spreading hypothesis is still controversial and the spatiotemporal evolution of AD and PD that was elegantly demonstrated by Braak and colleagues is not a proof per se in favor of a prion-like spreading mechanism that physically involves seed release and capture from diseased to connected neurons. A model of selective neuron vulnerability has been proposed as an alternative to the “prion-like” spreading hypothesis arguing that neurons bearing aggregates or oligomers induce external stress on selected neuron populations that start producing aggregates in response to adverse stimuli (Walsh and Selkoe, 2016; Chung et al., 2018). The latter hypothesis does not preclude the “prion-like” spreading hypothesis, and both mechanisms may coexist.

Among the challenges attributed to amyloid diseases, the definition of the pathogenic species and how they can cross cellular membranes and spread from cell to cell is of crucial importance to be able to decipher disease progression and mechanisms, find specific and early diagnostic tools and devise efficient therapies (Colin et al., 2020). Linked to the prion-like propagation hypothesis, the concept of amyloid strains has evolved to explain distinct patterns of neuropathology and transmission through the central nervous system (CNS). The exact paths of cell-to-cell transmission of the pathogenic species seem not to be unique and might be dependent on the protein of interest. Nonetheless, this transmission is described as a non-cell-autonomous progressive spreading in many studied cases.

Finally, it was suggested that liquid-liquid phase separation (LLPS) that forms membraneless organelles by molecular reversible self-assembly, might be the missing link between protein misfolding, aggregation and pathogenesis associated to neurodegenerative disorders (Nedelsky and Taylor, 2019; Babinchak and Surewicz, 2020; Alberti and Hyman, 2021). Notably, many amyloidogenic proteins are prone to phase transition that can initiate protein misfolding and aggregation, and modulate their biological function as shown for tau (Ambadipudi et al., 2017; Zhang et al., 2017a; Hernández-Vega et al., 2017; Wegmann et al., 2018; Boyko et al., 2019; Majumdar et al., 2019; Kanaan et al., 2020; Singh et al., 2020; Rai et al., 2021), TDP-43 (Li et al., 2018c; Wang et al., 2018; Babinchak et al., 2019; Conicella et al., 2020; Watanabe et al., 2020; Dang et al., 2021; Grese et al., 2021; Hallegger et al., 2021; Pakravan et al., 2021), α-synuclein (Sawner et al., 2021), the amyloidogenic type II diabetes-associated IAPP (Pytowski et al., 2020) and the fused in sarcoma (FUS) protein (Patel et al., 2015; Monahan et al., 2017; Murthy et al., 2019; Ishiguro et al., 2021; Levone et al., 2021; Reber et al., 2021). Understanding the molecular mechanisms of aberrant phase separation should provide new strategies to control protein aggregation in neurodegeneration.

2.3 Modulators of Amyloid Aggregation

2.3.1 Trans Acting Factors of Protein Aggregation

The deposits and inclusions in neurodegenerative disorders such as NFTs, senile plaques, Lewy bodies… consist of several proteins and non-proteinaceous components (carbohydrates, nucleic acids, metals, lipids, lipid rafts and cholesterol) that could be linked to the amyloid polymorphisms observed in diseases (Kollmer et al., 2016; Stewart et al., 2016; Shahmoradian et al., 2019; Li and Liu, 2021). The proteome analysis of amyloid deposits has revealed hundreds of proteins (Drummond et al., 2017; Lutz and Peng, 2018). Some of them act as critical regulators in protein misfolding diseases exemplified by heat shock proteins (HSPs) and their co-chaperones, 14-3-3 proteins (Xu et al., 2013; Jia et al., 2014), S100B calcium-binding protein (Moreira et al., 2021), and the peptidyl-prolyl isomerases (PPIases) FKBPs and Pin1 (Hamdane et al., 2002; Landrieu et al., 2006a; Balastik et al., 2007; Lippens et al., 2007; Chambraud et al., 2010; Giustiniani et al., 2012; Giustiniani et al., 2014; Kamah et al., 2016; Chen et al., 2018; Wang et al., 2020a). Notably, Pin1 and 14-3-3 proteins interact with phosphorylated forms of tau making the link with amyloid PTMs (Lu et al., 1999; Zhou et al., 2000; Smet et al., 2004; Lim and Ping Lu, 2005; Smet et al., 2005; Pastorino et al., 2006; Landrieu et al., 2011; Kondo et al., 2017; Neves et al., 2021). A role of cofactors has been shed into light in the aggregation of tau protein to specifically address the challenges of forming amyloid fibrils from full-length tau in vitro (Fichou et al., 2018; Fichou et al., 2019) in contrast to Aβ or α-synuclein that readily form amyloid fibrils in a wider range of conditions. Glycosaminoglycans, lipid membranes and metal ions are key cofactors that were pointed out in the amyloidogenic process. They have been found to modulate aggregation rates and are associated with amyloid deposits within the brain. Interactions of amyloidogenic species with cofactors may represent an orthogonal strategy of intervention to aggregation inhibitors in neurodegenerative disorders.

2.3.2 Posttranslational Modifications of Amyloid Proteins

The polymorphism of amyloid structures from the same protein reflects distinct environments leading ultimately to different diseases. In this respect, PTMs and non-amino acid components associated with the fibrils have focused particular attention (Figure 2). Arising from the most recent cryo-EM structures of human prion PrP, wild-type α-synuclein from multiple system atrophy (MSA), tau from corticobasal degeneration (CBD) - all of which were from brains of patients- and phospho-Tyr39 (pY39) α-synuclein from semisynthesis (Arakhamia et al., 2020; Wang et al., 2020b; Schweighauser et al., 2020; Zhang et al., 2020; Zhao et al., 2020), it has been proposed to categorize PTMs based on their location with respect to the fibril core (Li and Liu, 2021). PTMs in the interior of the core are likely involved in the initial step of fibril assembly while PTMs on the exterior may act rather in the polymorph selection either by driving the folding of protofilaments or stabilizing the protofilament interface. The role in fibril assembly of PTMs outside the core, within the “fuzzy coat”, still remains poorly defined although they are known to regulate the protein functions, interactions and aggregation properties by modulating the rate of fibrillar assembly, toxicity and phase separation. Importantly, they remain accessible even within the amyloid fibril and may still be targeted by posttranslational modifying and proteolytic enzymes (Wegmann et al., 2013; Ulamec et al., 2020).

FIGURE 2
www.frontiersin.org

FIGURE 2. Investigating the role of PTMs in amyloidogenesis by protein semisynthesis and/or chemical mutagenesis. Amyloid proteins are extracted from patient brains and purified as insoluble material, then the PTM patterns of amyloid fibrils are deciphered by complementary biophysical and biochemical tools (right panel). The precise role of site-specific PTMs is unraveled by encoding individual PTM or pathological epitope using chemical biology tools. This allows investigating the effect of these specific chemical modifications on protein conformation and function, on oligomer and amyloid assembly, stability and properties (left panel). The synthetic fibril morphology and cryo-EM atomic structures could thus be compared to bona fide fibrils from patient brains, here illustrated with pY39 α-synuclein synthetic fibrils (PDB ID: 6LIT) and α-synuclein fibrils from MSA (PDB ID: 6XYO), providing important information about the role of cofactors in amyloid aggregation.

Hyperphosphorylation, a common feature of tau proteins in NFTs and inclusions from diverse tauopathies, is mainly found within the N- and C-terminal regions flanking the amyloid core (Morishima-Kawashima et al., 1995a; Hanger et al., 1998; Alonso et al., 2001; Hanger et al., 2007; Hanger et al., 2009; Šimić et al., 2016) that greatly inhibit the formation of filaments (Abraha et al., 2000; Lövestam et al., 2021). Tau also exhibits a large diversity of PTMs such as lysine ubiquitination, SUMOylation, acetylation and methylation (Morris et al., 2015; Wesseling et al., 2020). These modifications can be specifically linked to the disease stage and mediate the structural diversity of tau strains (Arakhamia et al., 2020). Interestingly, the seeding activity of the hyperphosphorylated, oligomeric tau species was found to be heterogeneous from one patient with pure, typical AD to another while enhanced seeding activity and worse clinical outcomes both correlate with specific PTM sites (Dujardin et al., 2020). Whereas phosphorylation of α-synuclein at serine 129 (pS129) is a dominant characteristic of PD inclusions such as Lewy bodies, its role in aggregation and toxicity of α-synuclein has not yet been clearly established (Anderson et al., 2006; Oueslati, 2016; Ghanem et al., 2022). TDP-43, the main component of intracellular ubiquitin inclusion bodies found as a hallmark of ALS-FTLD (Frontotemporal Lobar Degeneration), is hyperphosphorylated and polyubiquitinated whereas these PTMs were not detected in normal brain (Dong and Chen, 2018).

Commonly associated to phosphoproteins, the O-β-linked N-acetylglucosaminylation (O-GlcNAc) is another PTM of serine/threonine residues that corresponds to the addition of a single sugar moiety that is regulated in a dynamic fashion by the antagonist action of two enzymes, the O-GlcNAc transferase (OGT) and O-GlcNAc hydrolase (OGA) (Iyer and Hart, 2003). Protein O-GlcNAcylation is extremely sensitive to glucose uptake and metabolism that may be altered in aging brain. Additionally, the O-GlcNAc modification has been reported for neuronal proteins such as APP, tau and α-synuclein highlighting a potential role in neurodegenerative diseases (Lazarus et al., 2009; Ma et al., 2017). O-GlcNAcylation of amyloid-forming proteins has been shown to regulate aggregation (Yuzwa et al., 2014a) and to some extent, phosphorylation of tau (Liu et al., 2004; Gong et al., 2006; Liu et al., 2009; Smet-Nocca et al., 2011; Bourré et al., 2018; Cantrelle et al., 2021). The treatment of transgenic mice with Thiamet-G, an OGA inhibitor, results in increased brain O-GlcNAc levels, and alleviate tau pathology and associated neurodegeneration offering an alternative therapeutic strategy to kinase and aggregation inhibitors in tauopathies (Yuzwa et al., 2008; Yuzwa et al., 2012; Yuzwa et al., 2014b; Graham et al., 2014; Hastings et al., 2017; Lee et al., 2021).

2.3.3 Proteolysis

In addition to PTMs involving the covalent linkage of proteinaceous or small chemical entities, truncated forms of amyloid proteins are also frequently found associated to pathological transformation. The N-terminal region of Htt is the site of HD-associated pathogenic changes through an elongation of the CAG repeat of htt gene encoding an expanded polyglutamine repeat. The truncated N-terminal proteoforms are more toxic than full-length Htt and form intranuclear inclusions that disrupt synaptic and axonal functions (Sun et al., 2002). At the basis of the amyloid cascade hypothesis in AD, the Aβ peptide is the product of the sequential cleavage of the transmembrane APP protein by secretases that generates peptides of different length, the most common forms being Aβ40 and Aβ42. With a proportion significantly increased in AD brain, this latter form is the most neurotoxic and readily form oligomers and fibrils in a wide range of conditions (Nirmalraj et al., 2020; Yang et al., 2022). A large panel of tau fragments resulting from cleavage at N- or C-terminal regions or both are found in fibrillar structures, cerebrospinal and interstitial fluids, and plasma of patients with different tauopathies (Quinn et al., 2018; Boyarko and Hook, 2021). The predominant role of proteolysis in various neurodegenerative disorders deserves particular attention for characterizing the fragments, their toxicity related to aggregation and transcellular spreading, and their role in the selection of strain polymorphs. This approach could afford new biomarkers and disease-modifying therapies by modulating the fragment generation and associated toxicity (Rodriguez Camargo et al., 2021).

The wide range of disease-associated modifications represents several challenges: 1) discriminating between physiological and disease-associated changes, 2) characterizing PTMs in terms of site-specific identification, quantification, and crosstalk between PTMs, and their relevance to disease, 3) characterizing PTM-induced conformational changes, 4) identifying enzymes responsible of the installation/removal of specific PTMs and defining the pathway of their (dys)regulation, 5) determining the functional role of specific PTMs in physiology and pathology, and 6) identifying and deciphering the role of amyloid interacting entities or cofactors (Kametani et al., 2020). The role of proteins, non-proteinaceous entities and PTMs in the aggregation process, toxicity and spreading of various species that form during the fibrillization course still deserves further investigations (Figure 2). They may have prominent implications in modulating nucleation, aggregation rate, selection of fibril polymorph, seeding capacity, and amyloid toxicity. Additionally, interactions of amyloid-prone proteins with cofactors and posttranslationally modifying enzymes could be valuable targets for therapeutic intervention (Dujardin et al., 2020).

3 Deciphering the Posttranslational Modification Codes of Amyloids: Combining Protein Engineering With the Chemical Biology’s Tool Kit

As small chemical groups or proteinaceous components, PTMs is a dynamic way to modulate physicochemical properties and hence, the biological and pathological functions of proteins by rapidly and reversibly enlarging the proteome complexity. In this regard, PTMs regulate the aggregation propensity of amyloid proteins, the stability of oligomers and seeds, the propagation of seeds and other toxic species, demixing into liquid droplets, … all as crucial steps in amyloidogenesis. Defining a PTM signature may be relevant to track disease-associated changes, connect changes in PTM patterns to a loss or gain of function, and find new biomarkers and therapeutic targets in disease-modifying strategies. Deciphering the role of site-specific PTMs is of highest importance in this area but this knowledge needs to overcome the issue of multiple, heterogenous modifications found in a cellular environment or provided in vitro by enzymatic activities. Mutation of site-specific positions, e.g. into alanine, is commonly employed to reduce the number of PTM sites (Despres et al., 2017). Introducing amino acids mimicking the physiochemical properties of posttranslationally-modified residues, such as aspartate or glutamate for phospho-serine/threonine, or glutamine for acetyl-lysine, is an easy way to achieve homogenous levels of modification but is poor proxy of the corresponding PTM (Paleologou et al., 2008). The alternative modification of proteins by the enzymatic route provides heterogenous patterns due to multiple sites, PTM crosstalk and different stoichiometry that are invariably associated to sample complexity for modified proteins (Theillet et al., 2012). This feature has been extensively described by our group illustrating the exceptional complexity of PTMs and PTM crosstalk within tau protein, as well as their impact on tau conformation and physiopathological functions (Landrieu et al., 2006b; Amniai et al., 2009; Landrieu et al., 2010; Leroy et al., 2010; Landrieu et al., 2011; Kamah et al., 2014; Lippens et al., 2016; Despres et al., 2017; Gandhi et al., 2017; Bourré et al., 2018; Despres et al., 2019; Cantrelle et al., 2021).

Chemical biology on the other hand provides a wide range of tools to unravel the role of PTMs in the mechanism of amyloid aggregation and tackle the process of fibril assembly. This goes hand-in-hand with progresses in protein engineering. Specifically, the development of efficient expression vectors combined to bacterial strains and other heterologous systems for recombinant protein expression, together with the use of multiple purification tags allowed the production of milligram amounts of proteins (depending on expression systems) with a high degree of purity. Although this procedure can be routinely implemented for the preparation of proteins, it is limited to the 20 genetically-encoded amino acids, excluding in most instances the possibility of chemical modifications of amino acids including insertion of PTMs, probes, or the incorporation of unnatural or d-amino acids. However, solving inherent limitations of site-specific modification of recombinant proteins has benefited from the development of both protein synthesis by chemical ligation strategies (Dawson et al., 1994; Moon et al., 2021) and genetic code expansion through reassignment of sense and nonsense codons combined to engineered aminoacyl-tRNA synthetase/tRNA pairs (Wang et al., 2001). In this area, cell-free expression systems are efficiently developed for the incorporation of unnatural amino acids (UAAs) that are not genetically encoded (Gao et al., 2019) or manipulating isotopic labeling schemes (uniform labeling, selective labeling and site-specific labeling) for NMR structural analyses. By controlling the isotopic scheme of amino acids used in cell-free reactions, these approaches allow reducing isotopic scrambling. This strategy has been successfully applied for the NMR study of low-complexity regions of Htt exon1 combining cell-free expression using transcription-translation systems of Escherichia coli extracts and nonsense suppression for the site-specific isotopic labeling (Morató et al., 2020).

3.1 Understanding the Role of Specific Posttranslational Modifications in Amyloidogenesis Using Native Chemical Ligation

The combination of solid phase peptide synthesis (SPPS) with native chemical ligation (NCL) strategies provide the most efficient way to quantitatively introduce site-specific PTMs, and/or chemical/fluorescent labels or UAAs, into a protein of interest. Of note, amyloid-forming peptides/proteins, as exemplified by Aβ and IAAP, exhibit an intrinsic tendency to aggregation during SPPS and purification. Several strategies of chemical synthesis were implemented to prevent aggregation into β-sheet structures and improve solubility of difficult sequences (Butterfield et al., 2012), but these considerations are beyond the scope of this review. NCL, initially developed by Kent and co-workers, uses chemoselective reactions between the α-carboxyl and the α-amino groups of two unprotected peptides to form a native peptide bond (Muir and Kent, 1993; Dawson et al., 1994; Hackenberger and Schwarzer, 2008; Agouridas et al., 2019; Moon et al., 2022). This strategy allows introducing selective and quantitative modifications of amino acids without altering any usual peptide bond. However, the requirement of SPPS is limiting the length of affordable peptides to 50–60 residues, and multiple rounds of NCL can extend the polypeptide length at the expense of a significant reduction of the overall yield. To circumvent this issue, expressed protein ligation (EPL) implements the two-step reaction of NCL to generate semisynthetic proteins.

The first step of NCL consists of a transthioesterification, or reversible thiol/thioester reaction, by the nucleophilic attack of a N-terminal cysteine (through the side chain thiol function) of a synthetic peptide on the activated C-terminal thioester of another peptide. Both fragments will constitute the C-terminal and N-terminal parts of the full-length synthetic protein, respectively. The second step is a spontaneous and irreversible rearrangement called “S-to-N acyl shift” that restores a native peptide bond with a cysteine residue at the junction of both fragments (Figure 3A). Alternatively, EPL makes use of engineered mini-inteins as fusion to the expressed recombinant protein fragment of interest to introduce a C-terminal α-thioester. Inteins are self-processing domains involved in posttranslational protein splicing processes. The intramolecular rearrangement at the intein N-terminal cysteine generates the C-terminal α-thioester of the expressed fragment. The functionalized fragment can be next ligated to a synthetic fragment containing a N-terminal cysteine to generate a semisynthetic protein (Figure 3A). As the C-terminal fragment is obtained by SPPS, any modification (PTM, probe, other chemical modification of amino acid) can be easily inserted into a specific position of this region of the final semisynthetic protein. A synthetic N-terminal fragment bearing a thioester can also be ligated to an expressed C-terminal fragment. In this case, a N-terminal cleavable fusion tag, e. g. His6-SUMO tag, is used to afford the N-terminal cysteine required for the subsequent ligation step (Chiki et al., 2021). The use of a SUMO tag offers the advantages of improving protein expression and solubility, and facilitates protein handling and purification. All these strategies may require final steps of refolding, oxidation of the ligation product, and eventually desulfurization of the cysteine residue at the ligation site to restore a native alanine residue. They are better suited to introduce modifications of the terminal regions of semisynthetic proteins. Introducing modifications in the central region requires two ligation steps with a three-segment strategy (or more) at the expense of the reaction yield. We refer the readers to references (Hackenberger and Schwarzer, 2008; Agouridas et al., 2019) for extensive, general considerations in addressing NCL/EPL including the choice of ligation site, protection/deprotection strategies, desulfurization reactions.

FIGURE 3
www.frontiersin.org

FIGURE 3. Expressed protein ligation (EPL) strategy for site-specific modification of proteins (A) and segmental isotope labeling for NMR studies (B). (A) The synthetic peptide (blue) incorporating a site-specific modification (yellow) is obtained by SPPS and ligated to a recombinant protein fragment (orange) expressed in a heterologous system which can eventually be isotopically labeled for NMR study. The recombinant protein can be expressed as intein fusion protein (intein in green) with a CBD tag (pink) for purification on chitin beads. The reaction with sodium 2-mercaptoethane sulfonate (MESNa) and a synthetic peptide with a N-terminal cysteine leads to a semisynthetic protein. (B) In the NMR 1H-15N HSQC spectrum, only the 15N-labeled region of the protein is visible, therefore the synthetic region bearing the modification is invisible (orange spectrum). This strategy called segmental isotopic labeling allows a reduction of NMR signals in the spectrum relative to the full-length, uniformly labeled protein (black) without PTM (black spectrum) or with enzymatically installed PTMs (yellow spectrum). It is noteworthy that modifications of protein resonances observed locally for the modified residues and its neighbors in the primary sequence in the uniformly labeled protein cannot be observed in the semisynthetic protein with segmental labeling due to the absence of isotopic labeling in the region of PTM. However, this modification may have a long-range structural impact on residues of the 15N-labeled fragment due to conformational proximity that can be detected through perturbations of signals in the isotopically labeled region.

The NCL strategy has been successfully used to introduce UAAs bearing chemical modifications (Chuh et al., 2016), e.g. metabolically stable phosphonate and difluoro-phosphonate analogs of phosphorylated residues. It proved to be also useful for segmental isotopic labeling of large proteins for structural analyses by NMR spectroscopy (Vogl et al., 2021). In this field, EPL helped to partially overcome the size limitations inherent to solution-state NMR by alleviating the number of resonances and thus, spectral overlap (Figure 3B). Additionally, NMR offers an orthogonal viewpoint to the study of PTMs from an analytical, mechanistical, structural and functional perspective (Theillet et al., 2012). By providing homogenous PTM patterns and reducing the number of PTM sites, EPL can help characterizing PTM-driven conformational and functional changes, although with a limited knowledge on the local conformational impact due to the absence of isotopic labeling of the synthetic fragment containing site-specific PTM(s) (Figure 3B). The occasional use of isotopically labeled amino acid synthons for SPPS may partially overcome this limitation albeit with a significant cost increase. An alternative route to PTM incorporation is the chemoenzymatic semisynthesis employing in vitro enzymatic modification of an expressed fragment, or co-expression of the fragment with the modification enzyme in E. coli, preceding the ligation step (Pan et al., 2020; Chiki et al., 2021; Kolla et al., 2021; Pan et al., 2021). This approach is limited to either small or mutated fragments, or scarce PTMs (such as pTyr) to reduce the number of modification sites or alternatively, it requires an efficient purification method to isolate a homogenously modified fragment preferably before ligation.

As exemplified by the whole proteome, phosphorylation is an important PTM in neurodegenerative diseases through modifications of most, if not all, amyloid proteins (Tenreiro et al., 2014). Involved in the crosstalk with phosphorylation, O-GlcNAcylation has been extensively investigated by semisynthetic approaches since the low enzymatic activity of OGT in vitro still limits the purely enzymatic strategy (Schwagerus et al., 2016; Balana and Pratt, 2021). Among other PTMs commonly found in amyloid proteins, lysine modifications such as acetylation, methylation (poly)ubiquination and SUMOylation are also explored by EPL. Several chemical biology groups have thus addressed the role of site-specific PTMs of amyloid proteins by developing various strategies of chemical synthesis, EPL and chemoenzymatic semisynthesis to improve the efficiency and yield of the ligation reaction as well as traceless purification of the ligation product (Ansaloni et al., 2014; Reimann et al., 2015; Levine et al., 2019; Kolla et al., 2021). Because, the NCL/EPL strategy depends on protein sequence and length, and on the nature and site(s) of PTM, specific strategies are elaborated in a case-by-case basis, i.e. for a specific amyloid protein and PTM. In the following, some examples are given to illustrate both the NCL/EPL approach involved and the findings related to the amyloidogenic pathways.

3.1.1 α-synuclein

Either a three-fragment ligation or chemoenzymatic semisynthesis approach was employed to achieve tyrosine phosphorylation of α-synuclein at Y39 to evaluate its impact on aggregation properties and toxicity (Pan et al., 2021; Pan et al., 2020; Dikiy et al., 2016). Phosphorylation of Y39 was made possible by the chemoenzymatic strategy because the three other Tyr residues of α-synuclein are all located in the C-terminus that was recombinantly expressed in bacteria while the N-terminal part was enzymatically phosphorylated before ligation. Furthermore, desulfurization following the ligation steps restores native residues at junction sites considering the absence of cysteine in the native sequence of α-synuclein. It is noteworthy that recombinant expression of all fragments further assembled by ligation allowed the uniform 15N isotopic labeling of the site-specific pY39 α-synuclein for NMR studies (Vogl et al., 2021). It has been shown using these strategies that pY39 accelerates aggregation kinetics (Pan et al., 2020; Dikiy et al., 2016) and alters fibril morphology of α-synuclein with pY39 attracting the entire N-terminus within the fibril core through an array of electrostatic interactions giving rise to the largest fibril core (residues 1–100) ever seen for the α-synuclein amyloid fibrils (Figure 2) (Zhao et al., 2020). The homogenously phosphorylated α-synuclein at S129, one of the major pathological marks of Lewy bodies in PD, forms a different amyloid fold and has different propagation properties related to the wild-type protein, indicating the formation of a distinct strain associated to higher toxicity (Ma et al., 2016). Be it either localized at pY39 or pS129, single phosphorylation of α-synuclein provided by NCL highlights a capacity of site-specific phosphorylation to modulate the fold of the amyloid structure and pathological strain properties. In contrast, phosphorylation at Y125 does not alter the structure and morphology of the α-synuclein fibrils (Hejjaoui et al., 2012).

As α-synuclein has multiple O-GlcNAcylation sites, the site-specific O-GlcNAcylation provided by EPL underscored its inhibitory role in fibril assembly on either T72, T75, T81 or the three together, or S87, with the strongest effect observed for T75, all these sites being embedded within the fibril core (Marotta et al., 2015; Lewis et al., 2017; Li et al., 2018b; Zhang et al., 2019b; Levine et al., 2019; Tavassoly et al., 2021). Additionally, the combination of three T72/T75/T81 GlcNAc O-glycosylation reduces the aggregation of wild-type α-synuclein or aggregation-prone mutant (A53T) that causes early-onset, familial PD. O-GlcNAcylation alters the structure of aggregates in a site-specific manner, reduces the cytotoxicity of extracellular fibrils and impaired the calpain-mediated proteolysis of α-synuclein. Interestingly, the Pratt’s group has highlighted that O-GlcNAc at T72 is unique in its aggregation inhibitory properties as compared to other single sugars including O-GalNAc suggesting an effect that extend beyond its mere bulky size and polar properties, owing likely to the chirality of specific asymmetric carbons that would require further investigations (Galesic et al., 2021).

Finally, the investigation of site-specific ubiquitination of α-synuclein involved a strategy of disulfide-directed ubiquitination, as implemented by Pratt and co-workers, requiring a lysine-to-cysteine point mutation for installation of ubiquitin through a disulfide bond instead of the native isopeptide bond. This strategy involved the recombinant production of a ubiquitin-intein fusion protein followed by reaction with cysteamine that simultaneously affords intein cleavage and thiol functionalization of ubiquitin C-terminus (Figures 4A,B). The subsequent thiol activation as a disulfide or a redox non-labile function by reaction with dibromoacetone provided ubiquitinated α-synuclein by reaction with a free thiol function positioned at diverse biologically relevant sites (K6, K10, K12, K21, K23, K32, K34, K46, and K96) (Meier et al., 2012; Abeywardana et al., 2013; Moon et al., 2020; Lewis et al., 2016). Whatever the ubiquitination or polyubiquitination site, an inhibition of α-synuclein aggregation was observed (Meier et al., 2012; Haj-Yahya et al., 2013). However, the disulfide bond is not chemically stable and other approaches were used to establish stable isopeptide linkage of ubiquitin. An alternative strategy formerly developed by Lashuel and co-workers although less flexible affords a native isopeptide linkage between K6 of α-synuclein and ubiquitin (Figures 4A,C). The synthesis of a thiol protected δ-mercaptolysine derivative is used in SPPS of a N-terminal fragment, then EPL with a recombinant C-terminal fragment provides the modified K6 within full-length α-synuclein. Subsequent NCL between the thiol function of δ-mercaptolysine and ubiquitin C-terminal thioester forms a native isopeptide bond between ubiquitin and the targeted lysine after subsequent desulfurization of the thiol handle of δ-mercaptolysine (Hejjaoui et al., 2011).

FIGURE 4
www.frontiersin.org

FIGURE 4. Chemical biology strategies of protein ubiquitination. (A) Posttranslational chemical mutagenesis and EPL approaches involve both the preparation of a C-terminal activated ubiquitin from a ubiquitin-intein fusion protein that provides a reactive C-terminal thioester. (B) Posttranslational chemical mutagenesis exemplified for K23 ubiquitination of α-synuclein requires first the thiol activation of a cysteine residue obtained by site-directed mutagenesis at the PTM site. The activated thiol is further involved in a reaction with ubiquitin-aminoethanethiol (ubiquitin-AET) leading to a bis-thio-acetone (BTA) analog of the ubiquitin-lysine isopeptide bond (Lewis et al., 2016). Alternatively, a ubiquitin-AET activated by 2,2′-dithiobis(5-nitropyridine) (ubiquitin-AET-DTNP) can react with the cysteine thiol in a disulfide-directed ubiquitination (Moon et al., 2020). (C) The EPL strategy involves first, the synthesis of full-length α-synuclein by EPL of two fragments, a N-terminal peptide (fragment 1–18) bearing a protected δ-mercaptolysine at position K6 for further ubiquitin linkage and a C-terminal recombinantly expressed fragment with a N-terminal cysteine. After NCL and thiol deprotection of the δ-mercaptolysine, EPL with the recombinantly expressed ubiquitin with C-terminal thioester and subsequent desulfurization provide the full-length, native α-synuclein with a native ubiquitin-lysine isopeptide bond (Hejjaoui et al., 2011). Chemical reactions are indicated by blue arrows and enzymatic reactions by red arrows.

3.1.2 Aβ Peptide

Aβ peptides from AD brain contain a variety of peptide lengths and post-translationally modified forms with phosphorylation, isomerization, and pyroglutamate, that modulate aggregation and propagation properties, and toxicity. In AD, modifications of the N-terminus in several Aβ subtypes were shown to both accelerate fibrillation and stabilize fibril structures. Phosphorylation of S8 is a modification of Aβ featured in late-stage of AD in the dispersed, membrane- and plaque-associated fractions (Kumar et al., 2011; Rijal Upadhaya et al., 2014). Homogenous phosphorylation of S8 of Aβ(1–40) peptide, afforded by SPPS, induces a higher cross-seeding efficiency when compared to unmodified Aβ(1–40) and a modification of fibril structure shown by ssNMR that highlights a tight N-terminus association with the amyloid core (Hu et al., 2019). In contrast, selective enzymatic modification of S26 stabilizes oligomeric forms but inhibits aggregation. Hence, it has been proposed that an ordered N-terminal region may be favorable to pS8-Aβ(1–40) strain to propagate to multiple Aβ subtypes by exerting a dominant role in fibril morphology. Furthermore, ordered N-terminal conformations in Aβ fibril structures may be biologically relevant as illustrated by brain-extracted Aβ40 and Aβ42 fibril structures. In contrast, Y10 O-glycosylation of Aβ with a (Galβ1-3GalNAc) disaccharide or sialylated trisaccharide (NeuAcα2-3Galβ1-3GalNAc) was shown to destabilize the amyloid structure to form a new fibril polymorph with a less stable protofilament interface rendering fibrils more prone to degradation in agreement with short tyrosine O-glycosylated forms found in CSF of AD patients (Liu et al., 2021).

Recently, the O-GlcNAc glycosylation of small heat shock proteins (sHSPs) by EPL in the Pratt’s group has extended targeting modulators of amyloid aggregation to site-specific PTMs of their cofactors. O-GlcNAc modification was found to selectively improve the anti-amyloid activity of HSP27 and other sHSPs in aggregation of both α-synuclein and Aβ(1–42), by competing with intramolecular interactions. The subsequent conformational rearrangement upon HSP27 O-GlcNAcylation most likely favors the formation of larger multimers with increased activity (Balana et al., 2021). Besides highlighting a protective role of O-GlcNAc in amyloid aggregation, this work opens new avenues for orthogonal strategies to inhibit the formation of amyloid fibril by targeting their cofactors.

3.1.3 Tau Protein

The long sequence of tau protein combined to a high proportion of polar residues (Ser, Thr, Lys, Arg) and Pro in the proline-rich domain coincides with a large number of PTMs such as phosphorylation, acetylation, ubiquitination, SUMOylation, methylation and O-GlcNAcylation. Hyperphosphorylation was shown to have a dominant role in tau fibril formation and loss-of-function in MT stabilization (Alonso et al., 1994; Morishima-Kawashima et al., 1995b; Alonso et al., 2001; Tepper et al., 2014), but other PTMs may have important effects in modulating tau functions and amyloid assembly. Site-specific PTMs may exert antagonist roles as well with some phosphorylation sites promoting aggregation while others have an inhibitory effect (Schneider et al., 1999; Liu et al., 2007; Despres et al., 2017; Brotzakis et al., 2021). Tuning on and off specific phospho-epitopes was shown to modulate tau function on tubulin polymerization or the Pin1-mediated regulation of tau dephosphorylation by PP2A (Amniai et al., 2009; Landrieu et al., 2011). The use of enzymes for introducing a limited pool of PTMs generally requires multiple mutations into an amino acid that cannot be modified as exemplified by the restriction of phosphorylation patterns to single phospho-epitopes, such as AT8 and PHF-1, for functional investigations (Amniai et al., 2009; Landrieu et al., 2011; Despres et al., 2017; Cantrelle et al., 2021). Alternatively, mimetics of PTM-amino acid may be inserted at single or multiple place mimicking a permanently modified state (Eidenmüller et al., 2001; Min et al., 2015). First attempts of full-length tau EPL semisynthesis were made by Hackenberger and co-workers, for the introduction of phosphorylation on S404 in the C-terminal region by ligation of a C-terminal phosphorylated peptide (from residue 390–441) to a N-terminal recombinantly expressed fragment (from residue 1–389) fused to intein (Broncel et al., 2012). Further improvement of the ligation strategy was required to afford the triple phosphorylation of PHF-1 epitope (pS396/pS400/pS404) or S400 O-GlcNAcylation owing to the length of the synthetic peptide (52 residues) (Reimann et al., 2015; Schwagerus et al., 2016). Hence, the synthesis of the C-terminal peptide involved NCL of two fragments followed by desulfurization, then EPL with the recombinant N-terminal fragment provides the full-length protein. A traceless purification strategy was also implemented through the use of a photocleavable biotin handle to purify the ligation product (Figure 5).

FIGURE 5
www.frontiersin.org

FIGURE 5. EPL strategy applied to the semisynthesis of full-length tau-S400-O-GlcNAc protein (Schwagerus et al., 2016). The C-terminal synthetic fragment incorporating the S400-O-GlcNAc modification and a biotin selectively linked to K438 residue for purification is obtained by NCL of two synthetic peptides, followed by desulfurization to restore the native A426 at the ligation site and deprotection of the GlcNAc moiety. The resulting C-terminal S400-O-GlcNAc peptide is then ligated by EPL with the N-terminal fragment recombinantly expressed as intein-GST fusion purified on glutathione affinity chromatography. The ligation product is isolated from the unreacted recombinant fragment through streptavidin-biotin affinity chromatography and traceless released by photocleavage of the biotin linker. The final product is the full-length protein tau-S400-O-GlcNAc with a A390C mutation at the EPL ligation site that cannot be recovered by desulfurization due to the presence of two native cysteine in tau sequence.

The presence of two native cysteine in tau primary sequence prevents from desulfurization of the EPL product. To circumvent this issue, the Lashuel’s group has exploited the native cysteine residues (C291 and C322) in a three-fragment ligation strategy for the synthesis of the tau K18 fragment (residues 243–372) corresponding to the microtubule-binding repeats (MTBR) containing four repeat/inter-repeat sequences, a region overlapping the core of amyloid fibrils from diverse tauopathies. This approach involves the native cysteine at the NCL junction sites preventing any introduction of non-native cysteine. The total chemical synthesis of K18 allowed the installation of phosphorylation at single (pS356) or multiple sites (pS262/pS356 and pS258/pS262/pS356) known to modulate tau function in microtubule polymerization/binding and amyloid assembly (Schneider et al., 1999). The site-specific phosphorylation of K18 proved to inhibit its aggregation in vitro, its seeding property in biosensor cells, and its ability to promote microtubule polymerization (Haj ‐ Yahya et al., 2020). The same strategy including first NCL of a C-terminal synthetic fragment was used in combination with an expressed N-terminal tau fragment (residues 2–245) for EPL allowing the semisynthesis of full-length tau after ligation of five fragments with either pY310, Ac-K280 or pS396/pS404 modification (Haj-Yahya and Lashuel, 2018). To obtain wild-type tau, two desulfurization steps were performed restoring native alanine at ligation sites before the incorporation of both fragments bearing native cysteine residues. The site-specific acetylation of K280 reproduces with increased outcome the effect of K280Q acetylation mimicking mutant on tau aggregation by forming rather oligomers and short fibrils instead of the long filaments observed for unmodified tau consistently with the increased seeding efficiency and toxicity of this mutant in AD models of tau pathology (Min et al., 2010; Cohen et al., 2011; Gorsky et al., 2016).

PHF-tau isolated from AD brains is conjugated to ubiquitin at multiple lysine residues within the MTBR, such as monoubiquitination at K254, K257, K311 and K317, and K48-linked polyubiquitination at K254, K311 and K353. Hence, the chemoselective disulfide coupling reaction implemented for ubiquitination of α-synuclein was similarly employed for the site-specific monoubiquitination of the K18 tau fragment at K254, K311 or K353 in which both native cysteine were mutated into alanine to prevent unwanted conjugation of ubiquitin. In contrast to multiple enzyme-derived ubiquitination that prevents the formation of both prefibrillar oligomers and amyloid fibrils, the semisynthetic ubiquitinated tau conjugates form oligomers and filaments to different extent with ubiquitination at K311 position being the strongest inhibitor (Munari et al., 2020).

3.1.4 Huntingtin

Mutant Huntingtin as a primary cause of Huntington’s disease is characterized by an abnormal expansion of polyglutamine (poly Q) tract at the N terminus which has been described as pathological when exceeding 40 glutamine repeats instead of the normal 9 to 35. The length of the expanded polyQ tract was suggested to be proportional to disease severity. The first 17 N-terminal residues of Htt act in modulating Htt structure, interactions and aggregation. Hence, polyQ expansion was shown to cause misfolding of the N-terminus and could play a key role in aggregation and toxicity. The polyQ expansion in mutant Htt exon1 causes conformational changes and increases phosphorylation at multiple sites across the entire protein (Jung et al., 2020). It was suggested that phosphorylation of Htt N-terminus could reverse the conformational rigidity related to polyQ expansion and improve the toxic properties. Phosphorylation of the N-terminal fragment of Htt at T3 homogeneously obtained by EPL, either in wild-type (23Q) or mutant Htt protein (43Q) was shown to stabilize the α-helical conformation of the N-terminal 17 amino acids and significantly inhibit aggregation while K6 acetylation reverses the inhibitory effect of pT3 without exhibiting any intrinsic inhibitory effect by itself (Ansaloni et al., 2014; Chiki et al., 2017). More recently, a new chemoenzymatic semisynthesis of Htt N-terminal fragment (1170) that forms nuclear and cytoplasmic inclusions in cell and animal models of HD enables the introduction of phosphorylation in exon3 (Kolla et al., 2021). Phosphorylation of T107 was shown to have opposite roles on Htt(1–171)-43Q aggregation depending on the phosphorylation status of S116 highlighting the benefits of site-specific PTM installation through semisynthesis in deciphering the PTM code that regulates the aggregation properties of amyloidogenic proteins.

3.1.5 TDP-43

The semisynthesis of TDP-43 prion-like domain bearing a site-specific phosphorylation at S404 required the use of denaturing conditions to solubilize protein fragments expressed in bacterial expression systems. Indeed, the strategy of EPL through purification of full-length TDP-43 or prion-like domain as protein thioesters by the traditional fusion intein-CBD was unsuccessful to produce soluble TDP-43 variants in contrast to α-synuclein, Htt or tau proteins. Hence, the selected approach made use of a polyhistidine tag attached to a C-terminal cysteine residue which is submitted to S-cyanylated cysteine-promoted C-terminal hydrazinolysis to remove the tag. The tag removal then leaves a reactive C-terminal hydrazide that can be converted into a thioester for further NCL with the C-terminal pS404 fragment afforded by SPPS. Using this procedure, phosphorylation of S404 of TDP-43 prion-like domain was shown to accelerate the amyloid aggregation of the TDP-43 prion-like domain and worsen cytotoxicity (Li et al., 2020a).

Although the semisynthesis of post-translationally modified proteins has taken advantage of the NCL/EPL strategy, its major drawback is related to the need for a combined expertise in both peptide synthesis and chemical ligation reactions, and when applicable, the refolding of protein fragments of interest may be limiting. Expansion of the genetic code using amber stop codons and an orthogonal tRNA/tRNA synthase pair is an alternative strategy to introduce site-specific PTMs such as phosphoserine, acetyl-lysine, mono-/di-methyl-lysine, and UAAs (Wang et al., 2006; Tarrant and Cole, 2009; Park et al., 2011; Ge and Woo, 2021). However, this route has not been extensively applied so far to amyloid proteins. Finally, a more flexible method analogous to NCL implemented the sortase-mediated ligation (SML), or sortagging, which benefits from the transpeptidase activity of bacterial Sortase A (SrtA) enzymes that recognize with a high substrate specificity LPXT motifs and conjugate them to oligoglycine units through a native peptide bond (Dai et al., 2019; Li et al., 2020b). This versatile ligation approach demonstrates broad applications in vivo and in vitro for protein engineering, for instance by ligating a peptide substrate bearing PTMs, UAAs or other labeling probes (obtained from SPPS) into sortagging reactions. The directed evolution of SrtA to recognize the LMVGG sequence of Aβ (residues 34–38) enabled labeling of endogenous Aβ in human CSF for sensitive detection and conjugating a hydrophilic peptide to Aβ42 that blocks amyloid aggregation (Podracky et al., 2021). Dual-color fluorogenic aggregation sensors were introduced by SML to monitor protein co-aggregation in transthyretin amyloidosis by a thermal shift assay (Bai et al., 2021).

3.2 Posttranslational Chemical Mutagenesis

3.2.1 Reactions With Cysteine Thiol Function

The site-specific chemical installation of PTMs made use of the reactivity of cysteine thiol group and requires first the site-directed mutagenesis of the PTM site to introduce a non-native cysteine residue, and eventually replacing native cysteine(s) by serine or alanine residues. An acetyl-lysine analog can be introduced through Lys-to-Cys mutation at a specific site and subsequent thiol alkylation with methylthiocarbonylaziridine leading to a thioether bond bearing a terminal S-methyl thiocarbamate group as acetyl mimic (Huang et al., 2010). Other chemical approaches for the site-specific ubiquitination of proteins, comprise the formation of thioether bonds (Hemantha et al., 2014) or triazole moiety through Copper(I)-catalyzed azide-alkyne cycloaddition (CuAAC) (Rösner et al., 2015) as stable analogs of the ubiquitin isopeptide bond. Mono- and di-methylated (symmetric or asymmetric) arginine-containing proteins can be prepared by reaction of cysteine thiol with α,β-unsaturated amidines leading to the corresponding methylated arginine analogs (Le et al., 2013). The chemical installation of mono-, di- and tri-methyl-lysine analogs can be provided by thiol alkylation with the respective N-methylated (2-chloroethyl)-ammonium halide (Simon et al., 2007). However, none of these reactions were applied so far to amyloid proteins to our knowledge.

3.2.2 Versatile Chemistry of Dha/Dhb Precursors

Besides NCL, an increasing number of chemical methods has been developed to encode or decode PTMs in various proteins, as extensively described in excellent reviews (Chuh et al., 2016; Ge and Woo, 2021; Yang et al., 2018). A versatile approach is the chemical editing of amino acids into protein after their synthesis, thus independently of the ribosome or any enzymatic machinery. Dehydroalanine (Dha)/dehydrobutyrine (Dhb) are versatile chemical precursors to a range of PTMs including phosphorylation, glycosylation, methylation, acetylation, lipidation, and their analogs (Figure 6A). Dha/Dhb precursors can be introduced chemically or genetically into proteins (Jones, 2020; Yang et al., 2019). These reactive Ser/Thr analogs allow following olefin addition chemistry introducing a wide variety of PTMs in a strategy named “posttranslational chemical mutagenesis” as well as UAAs or molecular probes for purification or detection purposes. A simple way to obtain Dha site-specifically is through β-elimination of the cysteine thiol function that requires 1) the site-directed mutagenesis of the PTM target site to install a cysteine precursor and 2) the Cys-to-Dha conversion through a bis-alkylation elimination reaction (Figure 6A) (Chalker et al., 2011). Although the Cys-to-Dha conversion was used to map cysteine accessibility in a globular protein (Bertoldo et al., 2017), all cysteines are equally reactive in IDPs and, whenever needed, native cysteines must be mutated. An alternative strategy is the genetic introduction of Dha precursors reactive to β-elimination, like phosphoserine, through genetic code expansion using amber codon suppression (Yang et al., 2016).

FIGURE 6
www.frontiersin.org

FIGURE 6. Posttranslational chemical mutagenesis. (A) General scheme of the posttranslational chemical mutagenesis approach for incorporation of PTM mimics by Michael addition of PTM-thiol derivatives on dehydroalanine (Dha) alkene function. The latter is obtained from serine/threonine/lysine-to-cysteine mutation at the PTM site and β-elimination of the bis-alkylated thiol function of cysteine. Addition of thiophosphate, S-GlcNAc, N-acetylcysteamine and captamine generates mimetics of phosphorylation, O-GlcNAcylation, N-acetylation and N,N-dimethylation, respectively. The thio-ether bond formation leads to a racemization of amino acid Cα. (B) This approach is illustrated by S356 phosphorylation and K311 acetylation in tau protein for the investigation of the PTM effect on loss-of-function in microtubule polymerization (PDB ID: 7PQP) (Brotzakis et al., 2021; Lindstedt et al., 2021). Chemical reactions are indicated by blue arrows and enzymatic reactions by red arrows.

Subsequent to Dha formation, the installation of PTMs or PTM analogs is provided by Michael addition (Figure 6A). Thiol derivative precursors of PTMs are the most convenient way to introduce PTM but the formation of the thio-ether bond induces Cα racemization (and also at Cβ in the case of Dhb derivatives) which seems not to be an issue in most amyloid case studies. This strategy was employed to introduce PTMs in full-length tau protein like pseudo-phosphorylation at pS262, pS356, pS199 by reaction with thiophosphate (to generate a phosphocysteine) and lysine K311 acetylation (K311-Ac) and dimethylation (K311-diMe) by reaction with N-acetylcysteamine and captamine (to generate thio-ether mimetics of PTM-lysine), respectively (Figure 6B) (Brotzakis et al., 2021; Lindstedt et al., 2021). While K311-diMe and K311-Ac have little effect on the formation of microtubules, pseudo-phosphorylation of pS262 and pS356 in the MTBR as well as pS199 in the proline-rich region were shown to inhibit the polymerization activity of tau confirming the role of pS262/pS356 that was previously investigated by in vitro kinase phosphorylation and highlighting a novel functional role for pS199 that is located far outside the MTBR, in the proline-rich domain (PRD). This is not surprising however, since other AD-specific phosphorylation epitopes embedded in the PRD were shown to modulate microtubule assembly (Amniai et al., 2009). Alternative elegant and versatile strategies to create C-C (sp3-sp3) bonds instead of unnatural carbon-heteroatom bonds were described, albeit not applied so far to amyloid proteins. They made use of mild, carbon-centered free radical chemistry that are compatible with Dha precursor reactivity and aqueous conditions suitable for protein chemical reactions. Most importantly, free radicals are unreactive with most of functionalities found in biomolecules. The reaction of Dha with a wide range of free radical precursor halides generates a stabilized Cα free radical that is further quenched after formation of the C-C bond allowing the installation of side chain chemical diversity (unnatural, fluorinated, PTM or isotopically labeled amino acids) at a specific position with a high site- and regio-selectivity (creation of Cβ-Cγ bonds), albeit with Cα racemization (Wright et al., 2016; Aguilar Troyano et al., 2021).

3.3 Focus on the O-GlcNAc exception: the chemical biology toolbox for the installation, detection and enrichment of O-GlcNAcylated amyloid proteins

The O-GlcNAc modification of proteins, and more particularly amyloid proteins, has required special attention. As an addition of single sugar on Ser/Thr, this PTM is closely comparable to phosphorylation. In addition, the O-GlcNAcome tightly overlaps the phosphoproteome. Thus, protein O-GlcNAcylation has long been occulted due to its close interplay with phosphorylation and a lack of appropriate detection/analytical methods (Thompson et al., 2018). For example, the poor immunogenicity of this small, neutral sugar prevents from raising selective antibodies, and only a few site-specific O-GlcNAc antibodies are available (e.g. S400-O-GlcNAc tau-directed antibody from Vocadlo’s lab (Yuzwa et al., 2011)). Another major limitation is related to the low sub-stoichiometry of the O-GlcNAc modification requiring the development of specific enrichment methods for O-GlcNAc profiling. Finally, the absence of consensus sequences emerging from the number of O-GlcNAc databases hamper the prediction of O-GlcNAc sites. Particularly intriguing is the mode of regulation of both OGT and OGA as the only two enzymes encoded in the human genome to implement the whole O-GlcNAc modifications of the O-GlcNAcome facing approximately 500 kinases. This suggests the recruitment of regulating sub-units for specific substrate targeting.

Biochemical and genetic manipulations of OGT and its substrates has provided several solutions to produce enzymatically O-GlcNAc modified proteins as exemplified by the co-expression of OGT and the protein of interest in E. coli given that bacteria do not have any equivalent of OGT protein but produce UDP-GlcNAc in sufficient amounts. This strategy was employed with tau (Yuzwa et al., 2011) and α-synuclein (Zhang et al., 2017b) to address the O-GlcNAc modification pattern of tau and the role of O-GlcNAc in tau and α-synuclein aggregation, respectively. The co-expression OGT/substrate can be optionally accompanied by 1) the co-expression of GlmM and GlmU enzymes that participate to the bacterial UDP-GlcNAc biosynthesis and therefore help protein O-GlcNAcylation by enhancing intracellular UDP-GlcNAc concentration (Gao et al., 2018), and 2) the treatment of bacterial cultures and extracts with PUGNAc, a potent glycosidase inhibitor, since endogenous NagZ glycosidase can hydrolyze O-GlcNAc in exogenous glycosylated proteins, hence reducing the O-GlcNAc modification level (Goodwin et al., 2013). This strategy together with the in vitro incorporation of O-GlcNAc through incubation of the protein substrate with UDP-GlcNAc and expressed OGT (from heterologous expression system) lead to heterogenous, and most importantly, low sub-stoichiometry modification in most cases. The lack of regulatory sub-units in artificial systems could in part explain the inefficiency of protein O-GlcNAcylation with recombinant OGT or bacterial co-expression systems.

The semisynthesis of α-synuclein incorporating a site-specific S-GlcNAcylation at S87C mutation site was used to probe the OGA activity on S-linked GlcNAc modification. Accordingly, the S-GlcNAc moiety was shown to be enzymatically stable upon OGA treatment. Moreover, it has the same effect than the O-linked counterpart in membrane binding of α-synuclein and inhibition of its fibrillar aggregation (De Leon et al., 2017). Following this approach, genetic methods implementing the CRISPR-Cas9 methodology for the site-specific Ser-to-Cys mutation of the glycosylation site has allowed incorporating S-GlcNAc derivatives with high level of protein modification in living cells (Gorelik et al., 2019) considering the ability of OGT to process cysteine residues while OGA cannot hydrolyze the S-linked GlcNAc sugar, thereby increasing the stability of the modification in the cell (Figure 7) (De Leon et al., 2017). Then, engineering of a hexosamine thioligase inspired from the GH20 hexoaminidase enzymatic mechanism and utilizing 4-nitrophenyl N-acetyl-β-d-glucosaminide (pNP-GlcNAc) as glycosyl donor has improved the GlcNAc S-linkage to targeted sites after Ser-to-Cys mutation (Tegl et al., 2019). The enzymatic S-GlcNAcylation of tau at S400C was performed using this approach. In addition, efforts were made to produce GlcNAcylated proteins both in vitro and in vivo through “proximity-induced reactions” improving levels and detection of GlcNAcylated proteins (see paragraph 4.3) (Ge and Woo, 2021).

FIGURE 7
www.frontiersin.org

FIGURE 7. Posttranslational chemical mutagenesis, genetic code expansion and chemo-enzymatic reactions for incorporation of O-GlcNAc mimics and derivatives for O-GlcNAc detection/purification. Chemical reactions are indicated by blue arrows and enzymatic reactions by red arrows. Some examples of the manifold approaches for the incorporation of S-GlcNAc and O-GlcNAc derivatives are given. An extensive review of O-GlcNAc installation and detection can be found in (Saha et al., 2021). Site-specific O-GlcNAc mimics can be incorporated directly on the cysteine thiol function after Ser/Thr into Cys site-directed mutagenesis or using the gene-editing tool CRISPR-Cas9. This allows for instance the enzymatic installation of S-GlcNAc mimics with OGT leading to a stable GlcNAc derivative since hydrolysis by OGA is not possible. Alternatively, the engineered cysteine residue may also be an intermediate to provide a bioorthogonal reactive dehydroalanine (Dha) derivative after thiol bis-alkylation and subsequent β-elimination. The Dha handle is amenable to a Michael addition with a GlcNAc-thiol derivative for installation of a S-GlcNAc derivative. A third approach involved the incorporation of unnatural amino acids (UAAs) bearing a reactive handle amenable to “click” chemistry, e.g., acetophenone or propargyl-lysine, using the amber codon suppression strategy of genetic code expansion for the site-specific O-GlcNAc modifications. Coupling of the O-GlcNAc moiety is performed by azide-alkyne [3 + 2] cycloaddition. For detection or enrichment of O-GlcNAcylated proteins, labeling of O-GlcNAc is performed as a first step either (i) by “metabolic labeling” through oligosaccharide engineering that introduces chemical handles (azide, alkyne,…) directly on the GlcNAc group for subsequent reaction (via the biosynthesis of UDP-GlcNAc derivatives, depicted in the box) or (ii) by “chemoenzymatic labeling” through an enzymatic reaction of the O-GlcNAc group with a mutant of β1,4-galactosyltransferase (GalT-Y289L) that forms a glycosidic bond with a galactose derivative (GalNAz). In both strategies, the second step is the subsequent conjugation of reactive probes (e.g., fluorescent probes, mass tag, biotin…) for downstream enrichment or detection. The latter processes through a reaction of “click” chemistry making use of azide bioorthogonal reactivity through the copper(I)-catalyzed (CuAAC) or strain-promoted azide-alkyne cycloaddition (SPAAC).

Interestingly, O-GlcNAc seems to have an overall protective effect in amyloid aggregation of various proteins involved in neurodegenerative diseases, in part owing to its interplay with phosphorylation. The phosphorylation/O-GlcNAcylation crosstalk in tau protein derived from the overall modulation of O-GlcNAcylation (OGA inhibitors, mouse starvation) and distinct transgenic mouse models suffers from contradictory outcomes (Yuzwa et al., 2008; Yuzwa et al., 2012; Graham et al., 2014; Hastings et al., 2017) while in vitro studies highlight only a limited direct interplay between both PTMs at the protein level (Bourré et al., 2018; Cantrelle et al., 2021). Phosphorylation of S129 of α-synuclein, a marker of typical PD aggregates, was shown to be sensitive to the O-GlcNAc modulation, either by genetic or pharmacological upregulation of O-GlcNAcylation, while pS129 reduction has been observed in the homogenously T72-O-GlcNAc modified semisynthetic protein upon phosphorylation by different kinases (Marotta et al., 2015; Lee et al., 2020). Unraveling the regulation of tau or α-synuclein (hyper)phosphorylation and pathophysiological functions by the O-GlcNAc glycosylation would deserve further investigations with the targeted protein O-GlcNAcylation approaches.

The investigations of the functional impact of amyloid PTMs and PTM dysregulation in cell and in vivo systems require the isolation, detection and analytical characterization of posttranslationally modified proteins which proved to be particularly difficult in the general case of O-GlcNAcylated proteins. Indeed, both detection and/or enrichment of O-GlcNAc proteins usually apply succinylated wheat germ agglutinin (sWGA) lectin or pan-O-GlcNAc monoclonal antibodies, RL2 and CTD110.6, that detect O-GlcNAc proteins in cytosolic and nuclear extracts (Saha et al., 2021). However, sWGA although relatively selective has a low affinity for the single O-GlcNAc sugar while pan-O-GlcNAc antibodies have a low affinity and a limited specificity, sometimes exhibiting cross-reactivity with terminal GlcNAc of branched N-glycans (Isono, 2011; Tashima and Stanley, 2014). Significant advances using chemical biology tools during the last decade has strongly expanded the detection of O-GlcNAcylated proteins as a long-standing demand, and helped deciphering the functional role of O-GlcNAcylation as extensively reviewed in (Saha et al., 2021). Bioorthogonal chemical reactions have been implemented to afford a wide range of tools and probes for the detection or enrichment of O-GlcNAcylated proteins from in vivo systems (Figure 7). In particular, the O-GlcNAc enrichment methods combined with mass spectrometry-based proteomics have led to important advances in the profiling of protein O-GlcNAcylation in systemic approaches. As a first step, the labeling of O-GlcNAc is performed either by metabolic oligosaccharide engineering that consists of introducing several types of reporter groups (ketone, azide, alkene, alkyne, isonitrile) as chemical handles for subsequent reaction or, alternatively, by enzymatically coupling a galactose derivative using the specific reaction of β1,4-galactosyltransferase (GalT). The former approach uses the manipulation of the UDP-GlcNAc metabolic pathway and the OGT plasticity to a variety of UDP-GlcNAc derivatives (e.g. peracetylated N-azidoacetylglucosamine) to directly incorporate chemical reactive group in the GlcNAc moiety of glycosylated proteins (Moon et al., 2022; Saha et al., 2021). The latter approach achieved better efficiency by using a mutant of GalT (GalT-Y289L) tolerant to UDP-GalNAc derivatives, such UDP-GalNAz containing an azide group, as a substrate donor for glycosidic linkage to GlcNAc (Figure 7) (Khidekel et al., 2003). The second step is the subsequent reaction with diverse reactive probes (e.g. fluorescent probes, mass tag, biotin…) for downstream enrichment or detection. An example is the use of azide bioorthogonal reactivity through the [3 + 2] cycloaddition with alkynes. The development of a copper(I)-catalyzed azide-alkyne cycloaddition (CuAAC), termed “click” chemistry, improved the conditions of the initial Huisgen reaction to proceed in physiological conditions compatible with biomolecule functionalities. However, as Cu(I) is toxic in cellular environment, activated alkynes, e.g. induced by ring strain such as cyclooctyne, has been implemented in a strategy compatible with cellular environments named strain-promoted azide-alkyne cycloaddition (SPAAC) (Agard et al., 2004). The conjugation of fluorescent probes and biotin through a click chemistry reaction allowed subsequent O-GlcNAcylated protein detection and isolation while mass tagging (e.g. with resolvable polyethylene glycol mass tags) provides a rapid insight into the distribution of O-GlcNAc proteoforms.

4 Detecting and Characterizing Amyloids With Chemical Biology Tools

4.1 Chemical Tools for Amyloid Detection and Structural Characterization

4.1.1 Small-Molecule Sensors of Amyloid Aggregation

Historical fluorescent probes for the detection of amyloids (e.g., ThS, ThT, ANS, Bis-ANS, Congo Red, Nile Red…) (Figure 8A) (Naiki et al., 1989; Biancalana and Koide, 2010; Krebs et al., 2005; Groenning, 2010; Amdursky et al., 2012) were recently complemented by a wide range of aggregation-induced emission (AIE) molecules (Tang et al., 2022; Tang et al., 2021) including hexaphenylsilole (HPS), tetraphenylethylene (TPE) and tetraphenylbutadiene that expand the detection of aggregates formed along the amyloidogenic pathway such as oligomers that are poorly detected by ThT, Congo Red and their derivatives. AIE molecules usually possess twisted structures in solution limiting the fluorescence yield by non-radiative transition (Kumar et al., 2017; Aliyan et al., 2019). Restricted intramolecular motions upon binding to amyloid β-sheets alleviates this phenomenon due to electrostatic and/or hydrophobic interactions, structural complementarity and/or chemical reactions (Figure 8B). For instance, increased fluorescence signal of new AIE probes with the size increase of Aβ aggregates enables a sensitive detection of Aβ aggregation and inhibition (Gour et al., 2019). Development of AIE probes includes the coverage of a large wavelength spectrum from the visible to the near-infrared (NIR) (Figure 8C). NIR probes are more convenient for super-resolution imaging of amyloids in cells and tissues by increasing the spatiotemporal resolution and photostability while reducing tissue damages. Probes for excited state intramolecular proton transfer (ESIPT) or a series of boron dipyrromethene (BODIPY) derivatives were designed with AIE properties for the follow-up of amyloid aggregation (Figure 8C) (Hu et al., 2011; Liu et al., 2019). A fluorescent BODIPY-based binuclear Zn(II) complex was rationally designed as a molecular probe with phospho-selective binding properties for peptides presenting phosphorylated groups at the relative i and i+4 positions. This molecule allowed for a selective detection of NFTs of hyperphosphorylated tau proteins in AD brain as it discriminated between NFTs and SPs of Aβ peptides in histological imaging of hippocampus sections from AD patients (Ojida et al., 2009). The luminescent amyloid-binding conjugated poly- and oligothiophenes (LCPs and LCOs) is a class of amyloid dyes of fibrillar aggregates for emission fluorescence staining or imaging (Figure 8C) (Åslund et al., 2009; Brelstaff et al., 2015; Klingstedt et al., 2011). LCOs are uniquely capable to discriminate different molecular architectures. The aggregate-specific emission is achieved due to conformational restriction of the thiophene backbone upon interaction with specific protein aggregates. Using the LCOs fluorescence signature, fibril polymorphism can be monitored both in vivo and in vitro. LCOs will be useful to link protein conformational features with disease phenotypes for a variety of neurodegenerative proteinopathies (Magnusson et al., 2014). Another series of molecular rotor fluorophores named AggFluor derived from the chromophore core of green fluorescent proteins (GFPs) was rationally designed with a gradient of viscosity sensitivity over a wide range (Figure 8D). AggFluor probes were capable of differentiating between soluble oligomers and insoluble aggregates through distinct turn-on fluorescence. This method was extended to dual-color imaging of aggregation and its modulation thereof with small-molecule proteostasis regulators in living cells (Wolstenholme et al., 2020).

FIGURE 8
www.frontiersin.org

FIGURE 8. Detection of amyloids by fluorescence labeling (A–D) or functionalized gold nanoparticles (E). (A) Structures of extrinsic fluorescent probes used for amyloid detection. (B) Aggregation-induced emission (AIE) molecules exemplified by Thioflavin-T (ThT) emit a fluorescent signal upon binding into hydrophobic pockets of amyloid β-sheet structures due to restriction of intramolecular rotation (PDB ID: 3MYZ). The structure of [11C]-Pittsburgh Compound B used for PET imaging is based on ThT structure. (C) Some examples of fluorescent molecules based on BODIPY or tetraphenylethylene (TPE) scaffolds are depicted as well as a near-infrared (near-IR) fluorescent probe and the oligothiophene p-FTAA (pentameric form of formyl thiophene acetic acid). (D) An example of fluorescent SNAP-tagging is depicted in a strategy called “AggTag” for amyloid detection. The engineering of a SNAP-tag amyloid protein allows coupling of an AggFluor probe through the selective reaction of a SNAP tag cysteine residue with O-benzylguanine derivatives. The subsequent aggregation of amyloid-forming proteins turns on fluorescence of the AggFluor probe. Various AggFluor probes has been designed to detect oligomers and amyloid fibrils, or amyloid fibrils selectively (Liu et al., 2018; Wolstenholme et al., 2020). (E) Functionalization of gold nanoparticles (gold-thiol polymer) with a mixture of 11-mercapto-1-undecanesulfonate: 1-octanethiol (MUS:OT) enables the selective detection of amyloid fibrils and polymorphism by cryo-EM imaging (Cendrowska et al., 2020).

4.1.2 Functionalized Gold Nanoparticles

Probing of amyloids with gold nanoparticles or nanorods, or through immunogold labeling as gold nanoparticle conjugates to a specific antibody allowed mapping amyloid fibrils in tissue sections as well as identifying proteins and some of their molecular features. The presence of PTMs and cofactors, or the presence/accessibility of a particular sequence can be characterized in this manner (Fitzpatrick et al., 2017; Falcon et al., 2018b; Goedert et al., 1996; Al ‐ Hilaly et al., 2020). However, these methods do not provide detailed information on the fibril morphology and polymorphism owing to either the bulkiness of the particle itself or to the distance between the particles and coated fibrils due to the size of the antibody and/or nanoparticle attachment linker. Functionalization of gold nanoparticles of 3 nm-diameter with negatively charged ligands (e.g. 11-mercapto-1-undecanesulfonate: 1-octanethiol mixture) enables to detect amyloid polymorphism over a variety of amyloid sequences under hydrated conditions by cryo-EM imaging (Figure 8E) (Cendrowska et al., 2020). The functionalized particles act as contrast agents to rapidly stain fibrillar structures. Fibrils are stained either at the fibril edges as exemplified with Aβ40 and tau R2 peptides, or on the whole fibril surface as for proteins tau and Htt exon 1 with a 43 polyQ segment, probably through interactions with the fibril fuzzy coat. This nanoparticle labeling facilitates the characterization of fibril morphology thereby revealing distinct polymorphs. Moreover, differential fibril decoration also reflects distinct morphologies. The functionalized gold nanoparticles have highlighted a higher homogeneity of periodicity length distribution for in vivo related to synthetic fibrils in agreement with cryo-EM structures.

4.1.3 Site-specific Introduction of Probes for the Study of Amyloids

Site-specific labeling of amyloid proteins allows to track conformation dynamics, interactions, modifications and seeding aspects by both in vitro approaches based on biophysical experiments and cell-based assays through microscopy imaging. Moreover, protein fluorescent labeling can be helpful in the screening of compounds for anti-aggregation or disaggregation activity by avoiding displacement of external fluorescent probes by competitive binding. The labels can be introduced with approaches similar to introduction of PTMs as detailed in paragraph 2 by incorporation of the labeled amino acid, or an amino acid amenable to bioorthogonal click chemistry (Arsić et al., 2022; Shimogawa and Petersson, 2021), by UAA mutagenesis, or based on suppression of stop codons. Another strategy of label incorporation is the conjugation of SPPS (peptide modified with a label) combined with NCL (see paragraph 2.1). In addition, the labels can be introduced using genetically engineered reactive tags for N- or C- terminal labeling, such as SNAP-tag (Keppler et al., 2003) CLIP-tag (Gautier et al., 2008) and Halo-tag (Liu et al., 2018) that react with derivatives of O-benzylguanine bearing a chemical probe to label the protein via a benzyl linker (Figure 8D). SNAP and CLIP or Halo tags can be simultaneously and differentially labeled with fluorescent reporters in living cells (Gautier et al., 2008; Jung et al., 2019). Compared with fluorescent proteins as GFP or mCherry, these tags are small and can be modified with more stable and brighter fluorophores.

The easiest way to introduce a tag is probably by using Cys residues as attachment points for maleimide or iodoacetamide derivatives, or other thiol reactive species (Gunnoo and Madder, 2016). The Cys residues can be native protein residues, or introduced at a unique position by site-specific mutagenesis, with replacement of the natural Cys residues by an unreactive amino acid. This has been conveniently used for α-synuclein labeling with an environment-sensitive fluorescent reporter to probe binding to lipid membranes and fibrillization by discriminating between unstructured, membrane‐bound and fibrillar states (Kucherak et al., 20182018). However, for the introduction of two different probes, a selective (de)protection of one of the two cysteine is required involving necessarily SPPS of a fragment at least of the protein of interest. Otherwise, a combination of different methods should be used. Cysteine conjugation was combined with amber codon suppression, transferase mediated N-terminal modification and NCL to produce α-synuclein variants bearing single or double site-specific fluorescent labels to probe conformational changes upon fibril formation and cellular uptake of fibrils (Haney et al., 2016; Haney et al., 2017).

Fluorescent probes differ whether investigating amyloidogenic processes in vitro or in living cells, and upon the fluorescence experiment employed being ensemble or single-molecule Förster resonance energy transfer (FRET), fluorescence polarization (FP), fluorescence correlated spectroscopy (FCS) or ESIPT. In any cases, careful considerations must be taken regarding the choice of labeling sites to avoid probe-induced perturbations of the protein conformation and fibrillization process even though small-molecule fluorophores are less invasive than their proteinaceous counterparts (e.g., GFP and its derivatives). Fluorophore are sensitive to change in their environments (e.g., exposure to the solvent, pH variation, ion concentration) as probed by FP and FCS. Introduction of two fluorophore labels gives access to FRET measurements based on distance-dependent fluorophore interactions. The distance between the fluorescent probes and dynamic fluctuation of these distances can be evaluated during fibril formation, upon interaction with small molecules (for example aggregation inhibitors) or due to a PTM. Single molecule FRET is of high interest when heterogeneity is considered, for example to characterize a population of oligomers. The use of fluorophore labels combined with microscopy imaging of live-cells is of importance to monitor cellular uptake, seeding and proteolysis.

The measurement of distance between FRET pairs in tau mutants carrying a tryptophan and a AEDANS-labeled cysteine, both residues being introduced by site-directed mutagenesis highlighted a paperclip-like conformation in native, soluble tau protein where both N- and C-termini fold over the MTBR (Figure 9B). Conformational changes of the paperclip preferential dynamic fold was observed upon phosphorylation and denaturation (Jeganathan et al., 2006; Jeganathan et al., 2012). The global fold was further confirmed by paramagnetic relaxation enhancement (PRE) NMR signals (see here below). The synthesis and FRET analysis of a site-specific, dual-labeled Htt exon1 indicated a progressive compaction of the protein upon increasing polyQ length in contrast to the pathological threshold length associated to HD (Warner et al., 2017).

FIGURE 9
www.frontiersin.org

FIGURE 9. Nitroxide spin labeling and FRET fluorescent pair labeling for distance measurements by NMR, EPR and FRET exemplified in tau protein. (A) Nitroxide spin labels such as MTSL (S-(1-oxyl-2,2,5,5-tetramethyl-2,5-dihydro-1H-pyrrol-3-yl)methyl methanesulfonothioate) can be introduced on thiol function(s) of engineered cysteine residues obtained by site-directed mutagenesis for NMR experiments. Single spin label is used in paramagnetic relaxation enhancement (PRE) experiments. Double spin labeling of two distinct cysteine residues is used for paramagnetic relaxation interference (PRI) experiments (not shown in the figure). The same labeling strategy with single or double paramagnetic probes can be used in EPR experiments (not shown in the figure). Single spin labels are introduced at different positions along the protein sequence as illustrated by A72C and A239C labeling. Proximal and long-range perturbations of NMR signals (distance >10 Å up to 25 Å) from the spin label is indicated by red areas (Bibow et al., 2011). The PRE phenomenon is characterized by a selected decrease of peak intensities in the 1H-15N HSQC experiment acquired on the 15N-uniformly labeled protein and quantified by the Ipara/Idia ratio corresponding to the intensities measured in the paramagnetic specie (Ipara) and the intensities measured in the diamagnetic specie (Idia) in which the nitroxide is reduced by vitamin C. Such a spatial proximity to the probe of remote residues in the protein sequence suggests an overall folding of tau protein in its native monomeric form such as the paperclip-like conformation. (B) FRET measurement of distances requires both the mutagenesis of a hydrophobic amino acid into tryptophan as FRET donor probe (red spot) and coupling of IAEDANS as FRET acceptor probe (blue spot) to either a native (C322) or engineered cysteine (T17C) of tau protein. Different combinations of positions of FRET donor and acceptor probes allowed to define the paperclip conformation of native monomeric tau where both N- and C-termini are in close proximity of the central MTBR functional domain (Jeganathan et al., 2006; Jeganathan et al., 2012).

Different conformational ensembles of α-synuclein were investigated inside cells using FRET pairs of fluorophores. FRET measurements allow to distinguish the unstructured α-synuclein and the α-helical conformation when α-synuclein is bound to the membrane, as both conformations are characterized by differences in the distance between both labels, the distance between the labeled amino-acid position being larger in the unstructured form (Fakhree et al., 2018). Introduction of labels can be coupled to introduction of modifications, using combination of the strategies here above briefly described using strategies addressed in paragraph 2. The semisynthesis of pY39 α-synuclein allowed to include a pair of FRET fluorescent labels using 1) coupling to cysteine and 2) UAA (propargyl-tyrosine, PpY) incorporation by amber codon suppression followed by click chemistry to reveal that phosphorylation of Y39 primarily acts on aggregation with only small interference with monomer conformation (Pan et al., 2020).

Processing of APP to generate the Aβ peptide was elegantly investigated in cells using a dual labeling scheme (van Husen et al., 2019). The APP C-terminal tail was labeled using a SNAP-tag while an UAA (trans-cyclooctene lysine) was introduced at a specific location in APP, corresponding to the Aβ peptide, by stop codon suppression. The side-chain of this UAA was next modified to attach a fluorescent dye (6-methyl-tetrazine-BODIPY-FL) by click chemistry reaction, while the unnatural residue was functionalized using TMR-Star. This double-labeling scheme allows to follow APP processing into a C-terminal fragment and Aβ peptide, and imaging the trafficking of the APP cleavage products in live cells.

Some in vivo experiments take advantage of the specific pH that characterizes some subcellular microenvironments to track the processing of amyloid proteins once they enter the cells. For example, CPX azide derivative was attached on α-synuclein using the UAA PpY functionalized by an azide-alkyne cycloaddition in a click chemistry approach. The labeled α-synuclein incorporated in fibrils was then tracked over time after it had entered neurons. Aggregates penetrating endosomes were highlighted by the green to red emission shift of CPX in that specific compartment (Jun et al., 2019).

Site-directed spin labeling, coupled to nuclear magnetic and/or electron paramagnetic resonance (EPR) measurements, are also of interest to study conformational fluctuations of amyloid proteins. A commonly employed paramagnetic label is the nitroxide moiety, which harbors an unpaired electron. This label is small and expected to cause no conformational perturbation of the functionalized protein. The paramagnetic effect of the electron is indirectly detected by NMR upon perturbation of the recorded signals due to enhanced transverse relaxation rate induced by proximity to the label (Clore et al., 2007). This effect has a r−6 dependence on the electron-proton distance (r) and thus allows the detection of long-range interactions in proteins (Figure 9A). To determine an ensemble of conformations consistent with PRE measurements, NMR signal intensity ratio (with/without nitroxide effect) can be converted into distance restraints. Direct measurements by EPR spectroscopy give information on the dynamics of the probe environment and is a convenient way to track oligomer formation (Zurlo et al., 2019). Double nitroxide labeling have interesting applications in both cases. Pulsed double electron–electron resonance (DEER) EPR on frozen samples can be used to derive a distribution of distances between the paramagnetic probes. For NMR applications, paramagnetic relaxation interference (PRI) in the presence of two nitroxide probes has been proposed to detect concerted conformational fluctuation in disordered proteins (Kurzbach et al., 2016). PRI being sensitive to correlated motions in the protein can help to detect a sparsely populated state in the ensemble, which nevertheless can be significant on the aggregation pathway. The Overhauser dynamic nuclear polarization (DNP) made use of site-specific nitroxide spin label attachment to monitor electron-spin interactions with water molecules and detect localized perturbations of hydration during tau protein aggregation related to the magnetic dipolar nature of interactions between the nitroxide unpaired electron and water protons that are mostly localized within 5Å. This allows discriminating hydration changes upon the formation of organized protein-protein interfaces associated to fibrils from non-specific protein-protein interactions (Pavlova et al., 2009).

Kinetics of α-synuclein aggregation was followed by continuous wave (CW) EPR using nitroxide spin-labeling to monitor oligomer formation/disappearance and how the aggregation pathway develops. The CW-EPR method uses the rotational diffusion time of the spin-labeled protein, visualized as EPR lineshapes, to cover the nanosecond to second time scales. The label dynamics is influenced by the local structure and macromolecular interactions at proximity of the probe. The MTSL label ((1-oxyl-2,2,5,5-tetramethylpyrroline-3-methyl)-methanethiosulfonate) was attached on α-synuclein C56, introduced by site-specific mutagenesis. The monomer, oligomer and fibril concentrations were evaluated at different time points during kinetics experiment, based on mobility differences of the species (Zurlo et al., 2019). Pulsed EPR measurements of various amyloid fibrils were also performed to gain structural information (Bedrood et al., 2012; Siddiqua et al., 2012; Pornsuwan et al., 2013).

Interestingly, EPR is also amenable to in vivo experiments (Cattani et al., 2017). Intracellular CW-EPR combined to a systematic spin-labeling scan of micro-injected recombinant α-synuclein shows that the majority of α-synuclein remains in monomeric, intrinsically disordered state in the Xenopus laevis oocyte cells, even in the case of disease variants A30P or A53T that are correlated with PD familial forms. These latter variants show an increased rate of oligomerization and decreased membrane binding (Flagmeier et al., 2016). The spin label for this in-cell study is 3-maleimido-PROXYL, which is more stable in the reducing environment of the cell than MTSL.

PRE of NMR signals were used to obtain structural information on α-synuclein. Three MTSL nitroxide labels were attached to single cysteine mutants. Measurements showed that α-synuclein adopts in its native state an ensemble of conformations that is stabilized by long-range interactions. These interactions are characterized by contacts between the central and C-terminal domains that shield the aggregation-prone non-amyloid-β component (NAC) (Bertoncini et al., 2005a; Dedmon et al., 2005). PRE of NMR signals additionally show that the familial PD mutations, A30P and A53T, perturb the ensemble of α-synuclein conformations pointing toward a reduced shielding of the hydrophobic NAC region in the A30P and A53T mutants of α-synuclein (Bertoncini et al., 2005b).

PRE of NMR signals were also used to build tau conformational ensemble. The paramagnetic probe MTSL was attached on the native cysteine residues, or on five single-cysteine mutants located in the various tau domains (Figure 9A). The intricate network of transient long-range interactions confirms the “hairpin model” of tau dynamic conformation. Interactions of the spin-label with distinct area of the tau sequence indeed show that the C-terminal domain transiently interacts with both the PRD and the N-terminus. The conformational dynamics of tau wild-type or harboring the P301L familial FTDP mutation were additionally compared using a combination of PRE and PRI experiments (Kawasaki and Tate, 2020). PRI data demonstrate alteration of the short- and long-range correlated motions in P301L tau mutant, promoting transient exposure of the PHF6 motif that plays a role as nucleus of tau aggregation (Kawasaki and Tate, 2020).

4.1.4 Positron Emission Tomography Imaging Tracers

Brain imaging is a major area for which chemical biology has made a crucial contribution to support research on disease mechanisms in central nervous system proteinopathies and to deliver promising compounds for clinical use by providing tracers for in vivo imaging using positron emission tomography (PET) (Ni and Nitsch, 2022). This topic can be here only briefly covered given its scope. The challenge in this field is to provide specific and sensitive tracers reaching the brain, based on 18F, 11C or 3H radio-compounds. Ideally, the tracers should allow early and differential detection of diagnostic biomarkers before the appearance of clinical symptoms to facilitate access to treatment ahead of the irreversible damages due to neuronal and synaptic connectivity loss.

Imaging of AD brain deposits started with the radio-compound [11C]Pittsburgh compound B (Klunk et al., 2004) that derives from ThT to detect β-amyloid deposits by PET imaging (Figure 8B). Amyloid PET is based on β-sheet structure detection and compounds are mainly benzothiazole and benzoxazole derivatives. Among these tracers, three have already been approved for clinical use: florbetapir (Clark, 2011), flutemetamol (Curtis et al., 2015) and florbetaben (Figure 10A) (Sabri et al., 2015). Six binding sites on Aβ fibrils are proposed for the tracers, based on molecular modeling studies. Binding sites can be divided between core sites (buried in the fold with low solvent accessibility), and surface binding sites, the latter providing less specificity (Murugan et al., 2016). These in silico studies suggest that amyloid tracers of different structures could detect different Aβ fibrils.

FIGURE 10
www.frontiersin.org

FIGURE 10. Structures of PET radiotracers for amyloid imaging of Aβ deposits (A) or tau inclusions (B). The cryo-EM structure of the PM-PBB3 (APN-1607) compound bound to PHF-tau amyloid structure shows selected interactions in the C-shaped cavities with R349, Q351 and K353 amino acids of the tau MTBR R4 repeats (PDB ID: 7NRV).

Tau-specific ligands have also been developed for clinical use, and enable in vivo PET imaging of tau deposition (Leuzy et al., 2019; Saint-Aubert et al., 2017). Monitoring tau deposits is of interest for diagnosis as cortical retention of tau tracers better correlates with cognitive decline than Aβ deposits (Pontecorvo et al., 2017). These small molecules are however specific for the β-sheet structure adopted in tau fibers, and not to tau protein per se. This structure is found in other proteinopathies that might co-exist, which can complicate the image interpretation. Tau tracers should not only be able to cross the blood brain barrier, but additionally penetrate the intracellular compartment where tau fibrils also reside. Tau tracers belong to three major different chemical families, namely, pyridinyl-butadienyl-benzothiazole derivative (11C-PBB3) derived from the same family as Pittsburgh compound B, benzimidazole-pyrimidine derivatives (18F-T807/AV 1451, and 18F-T808) as well as different arylquinoline derivatives (18F-THK5105, 18F-THK523, 18F-THK5117, and 18F-THK5351) (Figure 10B). These tracers bind to tau with affinities in the nanomolar-picomolar range. These first-generation tracers are however reported to bind to a number of off-targets such as monoamine oxidase-B in the basal ganglia (Lemoine et al., 2017). It leads to optimization of the tracer binding properties and delivered a second-generation of tracers with better specificity and a broader dynamic range. Based on in vitro binding assays, three different high affinity binding sites have been proposed in tau fibrils (Figure 10B). Computer-assisted docking of the tracers based on the cryo-EM structures of tau fibrils predict four different binding sites for the various tracers (Murugan et al., 2018; Kuang et al., 2020; Murugan et al., 2021).

The tau tracer AV-1451 (Johnson et al., 2016), also known as flortaucipir, specifically binds to tau fibril from AD and non-AD tauopathies (Lowe et al., 2016). The clinical validity of flortaucipir has been demonstrated as diagnostic biomarker and it is approved for imaging tauopathy in AD patients. A study based on PET imaging with [18F]AV-1451 confirms that tau pathology can propagate though a neuron-to-neuron transfer (Cope et al., 2018). The different types of tau deposits in the different diseases, highlighted at the atomic level by the cryo-EM structures (Lippens and Gigant, 2019), made it quite challenging to develop tau PET tracers. Given the heterogeneity in tau strains, tracers could be developed that recognize a sub-set of such strains. This strain heterogeneity, not only between pathologies but also between individual patients, is highly relevant because it is proposed to be linked to clinical heterogeneity in patients with typical AD (Dujardin et al., 2020). These in vivo diagnostics tool compounds will have huge impact on future assembly of better characterized cohorts and provide an adequate monitoring in clinical assays of the treatment effects.

4.2 Chemical Methods for Deciphering the Amyloid Aggregation Pathway

4.2.1 Keeping Amyloids Under Control With Chirality and Molecular Switches

Manipulating amino acid chirality into amyloid sequences has been implemented through SPPS to reveal amyloidogenic pathways and critical hot spots in amyloid assembly (Foley and Raskatov, 2021). In a strategy termed “chiral editing”, d-amino acid (D-AA) enantiomers that are site-specifically introduced either at selected positions of interest or randomly by D-AA scanning proved to be useful tools to highlight mechanistic details of Aβ aggregation and toxicity, as well as key residues in this process. Mirror peptides of Aβ42 and Aβ40 that incorporate D-AA along the entire sequence were shown to accelerate Aβ fibrillization into nontoxic fibrils in a racemic mixture with L-Aβ peptide (Dutta et al., 2017). The chiral inactivation of Aβ generates distinct fibrillar structures likely through the formation of rippled instead of pleated cross-β sheets (Dutta et al., 2019a). D-Aβ42 oligomers were also shown to have a reduced, if any, cytotoxicity and cellular internalization (Dutta et al., 2019b). Stereoselective interactions with chiral components of the phospholipid membrane could be responsible for this differential effect. Overall, the advantage of D-AA and mirror peptides is that chiral mutations do not change the physicochemical properties of the peptides (side chain chemical groups, size, polarity, charge…). It was shown that D-peptides targeting the mirror VQIINK tau hexapeptide (PHF6*) fibrils inhibit full-length tau aggregation while exhibiting protease stability and reduced immunogenicity (Figure 11A) (Dammers et al., 2016; Malhis et al., 2021). Based on these properties, D-peptides may be useful as therapeutic and diagnostic agents in amyloid-related diseases (Abdulbagi et al., 2021).

FIGURE 11
www.frontiersin.org

FIGURE 11. Chemical biology tools for controlling and deciphering the amyloid aggregation pathways. (A) Fibrils made of the mirror PHF6* hexapeptide of tau consisting of D-enantiomeric amino acids was used in mirror image phage display to screen L-peptides that bind to mirror PHF6* fibrils. The mirror peptides of the selected L-peptides were synthesized and evaluated as inhibitors of full-length tau aggregation exhibiting protease stability and reduced immunogenicity (Dammers et al., 2016; Malhis et al., 2021). (B) The strategy of “click” peptides or “switch” peptides is used to control protein aggregation and decipher the molecular elements responsible of amyloid aggregation (left panel). A molecular switch element (S) is under control of a protecting group “P” (green dots) that prevent aggregation (Soff) and is cleaved by an appropriate trigger factor (pH, enzyme, reducing agents, light, …). Upon deprotection, the spontaneous O→N or S→N acyl shift within the molecular switch element restores the native peptide bond between both fragments at its N- and C-terminal sides. As a result, the structural induction unit σ (grey fragment) is linked through a native peptide bond to the remaining part of the protein (blue fragment). If the deprotection and subsequent acyl shift trigger the amyloid aggregation of the protein of interest (Son), σ is identified as an aggregation hot spot as exemplified by the C-terminal region of Aβ42 peptide (right panel). In this case, a first molecular switch element (S1) at S26 under control of pH is removed without triggering any fibril formation. The enzymatic cleavage of the second switch element (S2) by the dipeptidyl-peptidase at S37 enables the fibrillization of native Aβ42 peptide supporting a role of the C-terminus in conformational changes and aggregation. (C) The photo-induced cross-linking of unmodified protein (PICUP) strategy is used to generate protein oligomers by light irradiation of a photocatalyst, the tris(bipyridyl)ruthenium(II), in presence of ammonium persulfate. Metastable oligomers that form transiently along the amyloid aggregation pathway, as shown by polyacrylamide gel electrophoresis under denaturing conditions, can thus be captured for further structural and functional investigations. (D) The use of fluoroproline derivatives, 4-cis-fluoro, 4-trans-fluoro or 4,4-difluoro-proline, in controlling amyloid protein conformational changes and aggregation rely on the alteration of the cis/trans conformational exchange rate and equilibrium of the peptidyl-prolyl bond with the 4-cis-fluoroproline the most favorable to the cis amide bond conformation. Furthermore, fluoroproline can be involved as probes in 19F-NMR studies of conformational exchange in peptides and proteins as shown for a model peptide of β2m, Ac-FH(F2-P32)SD-NH2. The 19F-NMR spectrum of the β2m peptide containing a 4,4-difluoroproline was reproduced from reference (Torbeev and Hilvert, 2013). The corresponding sequence is shown as sticks in the structure of β2m amyloid fibrils (PDB ID: 6GK3) with P32 (magenta) in trans conformation.

It is well documented that some amyloid-forming sequences spontaneously undergo into conformational changes and aggregate during SPPS, purification and other processing steps. Keeping amyloids under control with molecular switches is an efficient strategy to decipher their mechanism of aggregation and toxicity by controlling the onset of aggregation at early stages of initiation/nucleation, and identifying aggregation hot spots in amyloid sequences (Butterfield et al., 2012). A molecular switch is defined as a reversible modification at a selected location within the peptide sequence that tunes on and off the amyloid aggregation properties. O→N (or S→N) acyl shift of isopeptide bonds in so-called “click peptides” or “switch peptides” are usual molecular switches that are under control of a protecting group (Figure 11B). The native peptide bond is restored by O→N or S→N intramolecular rearrangement once the protection is released. The introduction of O-acyl or S-acyl isopeptide bonds efficiently disrupt misfolding and oligomerization of amyloid-forming sequences. In some instances, the release of an inhibitory element elicits amyloid assembly. A panel of triggering factors (pH change, enzymatic reactions, reducing agents, photoreactions) can be used for this purpose allowing a rapid switch from the inert into aggregation-prone sequence as conveniently illustrated for small, synthetic Aβ, IAPP or PrP peptides (Taniguchi et al., 2009; Taniguchi et al., 2006; Bosques and Imperiali, 2003). This provided information into the fine molecular mechanisms of Aβ42 (dis)aggregation by decoupling aggregation-prone sequence from a nucleating or structural element to prevent aggregation or, reversely, by favoring disassembly of amyloid fibrils into a soluble conformation (Figure 11B) (Dos Santos et al., 2005; Mimna et al., 2007). These methods also found applications in the screening of anti-aggregation compounds (Sohma et al., 2011).

4.2.2 Stabilizing Oligomers by Photo-Induced Cross-Linking

Often poorly defined at the molecular level, oligomers are of variable size ranging from dimers to a few hundred monomers. Their molecular and structural characterization suffers from their unstable nature and heterogeneity, and must overcome methodological hurdles. Cross-linking has been used to stabilize Aβ dimers in several experimental setup (Bitan and Teplow, 2004) although covalently cross-linked Aβ dimers isolated from AD brains were found to be neurotoxic species of biological relevance (Vázquez de la Torre et al., 2018; Brinkmalm et al., 2019). Cross-linking applied to tau protein has shown conformational differences between inert and seed-competent monomer highlighting inaccessibility vs. exposure, respectively, of the hydrophobic, amyloid-prone PHF6 and PHF6* sequences (Mirbaha et al., 2018). The photo-induced cross-linking of unmodified proteins (PICUP) method by light irradiation of a tris(bipyridyl)ruthenium(II) photocatalyst was amenable to the study of amyloid proteins to capture intermediate, metastable oligomers for further purification, characterization and investigation of their seeding activity in inducing fibril formation (Figure 11C) (Bitan et al., 2001). The site-specific incorporation of photo-induced cross-linking probes such as trifluoromethyldiazirine derivative of phenylalanine into the sequence of Aβ peptide fragment stabilized “on-pathway” oligomeric species providing structural details about the very first pathological species involved in fibrillization onset (Smith et al., 2008).

4.2.3 Fluorine Labeling and 19F NMR

19F NMR offers an interesting opportunity to study fibril formation, as it provides residue-level quantitative information about structure and mechanism. Because the 19F nucleus is highly sensitive to its chemical environment, it displays a very wide range of chemical shifts and chemical shift perturbations even for very subtle structural changes. Given also the complete absence of 19F in biomolecules, no background signals are present, meaning conformational changes can be detected using simple 1D spectra. A wide repertoire of fluorine labelled amino acids exists, and can be incorporated in recombinant proteins or via chemical peptide synthesis (Salwiczek et al., 2012; Gimenez et al., 2021). 19F NMR spectroscopy is able to detect signals from soluble proteins or small soluble aggregates, conversely to ThT that detects fibrils. Fluorotyrosine-labelled α-synuclein was used to monitor aggregation kinetics by acquisition of one-dimensional spectra (Li et al., 2009). These kinetics data were compared with a fluorescence-monitored time course, in the presence of ThT, in the same conditions. The time course of the 19F NMR data was similar to the ThT-monitored aggregation kinetics. 19F NMR allows the additional quantification of the fraction of monomers or small oligomers remaining in solution at all time-points during the kinetics. Tracking amyloid formation of IAPP using this technique shows that IAPP fibrillizes without formation of nonfibrillar intermediates, in contrast to the well-studied Aβ and α-synuclein proteins (Suzuki et al., 2012). Interestingly, aggregation can be monitored in this manner without addition of an external reporter, such as ThT. This is of importance when studying inhibitor compounds of the aggregation process. It was indeed shown that ThT strongly competes with a polyphenolic compound for binding sites on IAPP fibers. To investigate the conformational polymorphism of the prion oligomers, a 3-fluoro-phenylalanine reporter was introduced in the prion fragment PrP(90–231). 19F-NMR spectroscopy was used to quantify the populations of oligomeric species on the path from the monomeric soluble PrP state to fiber formation. In addition, thermodynamic and kinetic parameters of the interconversion of the oligomeric species were extracted from the 19F NMR data obtained by temperature or pressure scanning (Larda et al., 2013). 19F NMR real-time measurements was also used to investigate the formation of small oligomers during the aggregation of Aβ1−40. Five distinct oligomers (estimated of 30–100 kDa) with unique spectral signatures, which allow to monitor each individually, were detected at distinct time points in the time-course of fibril formation (Suzuki et al., 2013). Their build-up and decay were evaluated in real-time during aggregation and transient species could be identified. Fluorine can also be used to subtly alter the conformational preference of individual amino acids, allowing their role in the aggregation process to be interrogated. A well-known example is fluorinated prolines, which, besides allowing 19F NMR investigation (Sinnaeve et al., 2021), also modulates the proline cis/trans ratio and the interconversion rate (Figure 11D) (Verhoork et al., 2018). The human protein β2-microglobulin (β2m) aggregates as amyloid fibers in patients undergoing long-term hemodialysis. Isomerization of P32 from its native cis to a nonnative trans conformation was shown to cause β2m misfolding and aggregation using replacement of this crucial residue with 4-fluoroprolines by total chemical synthesis (99 residues) (Figure 11D). The β2m monomer was stabilized by incorporation of (2S,4S)-fluoroproline (or cis-fluoroproline), which favors the native cis amide bond while the monomer was destabilized by the (2S,4R)-fluoroproline (or trans-fluoroproline), which disfavors cis conformation (Figure 11D). 4,4-difluoroproline, which enhances the isomerization rate without modifying the cis/trans equilibrium relative to regular proline, increases the oligomerization rate. Altogether, these data demonstrate the major effect of P32 conformation on β2m aggregation (Torbeev and Hilvert, 2013). To study the role in the aggregation process of a kink within the R3 repeat of the tau protein, at residue S316, a peptide was used containing a S316P mutation (Jiji et al., 2016). In the peptide wherein (2S,4S)-fluoroproline at position 316 was introduced, the cis conformation is favored compared to regular prolines and the modified peptide aggregates twice as fast. In the peptide containing the stereoisomeric (2S,4R)-fluoroproline at position 316, the trans conformation is preferred and the modified peptide aggregates at a slower rate. The results clearly showed that favoring the cis conformer of L315-P316 peptide bond promotes aggregation of the R3-S316P peptide. The authors of this study propose that a trans-to-cis conformation shift in the peptide bond preceding P316 occurs during peptide aggregation, with the potential type I β-turn encompassing P316 being replaced by a type VI β-turn favored by the cis bound in the R3-S316P fibrils.

Taken together, these various examples illustrate that the introduction of fluorine can be very useful in deciphering key aspects of the aggregation process by directly reporting events at a residue scale. This allows tracking of conformational changes occurring on the path to fibril formation and documenting the conformational heterogeneity due to the formation of oligomeric species using 19F NMR, but equally can be used to elucidate the role of individual residue conformations during aggregation.

4.3 Nanobody-Directed Detection and Modulation of Amyloid Proteins

Single domain antibody fragments, scFv (single chain variable fragments), and VHHs (heavy chain variable domain or single-domain antibodies or nanobodies) are interesting tools to probe protein aggregation (De Genst et al., 2012; Pain et al., 2015). These single domain antibodies have many interesting properties such as their low molecular weight and their ease of production, which makes them perfect candidate for protein engineering (Holliger and Hudson, 2005; Deffar et al., 2009; Desmyter et al., 2015; Könning et al., 2017).

In vitro-based ligand selection, without the use of animal immunization, made it possible to identify antibody fragments with a conformational selectivity. Antibody fragments can thus be selected to target each species formed on the way of fibril formation, from the soluble monomer to the fibril structure. Their ease of expression and small size in particular allow them to be used efficiently in combination with NMR spectroscopy and X-ray crystallography. Single domain antibodies have been reported to specifically detect soluble oligomers of various amyloidogenic proteins (Emadi et al., 2009; Zhang et al., 2011; Butler et al., 2016). They can thus be used to address the biophysical properties/cytotoxicity relationship of the oligomers, which is a challenging task given their transient and heterogenous nature (Bitencourt et al., 2020). Antibody fragments are also helpful to decipher the underlying microscopic stages of the aggregation mechanism (De Genst et al., 2012; Pain et al., 2015). NUsc1, for an example of scFv, recognizes a unique conformational epitope displayed on oligomers of Aβ and preferentially select for oligomers larger than 50 kDa that are neurotoxic (Sebollela et al., 2017). NUsc1 discriminates oligomers over monomers or fibrils. Interestingly, rational design was used to obtain conformation-specific single domain antibodies able to detect Aβ oligomers (Aprile et al., 2020; Limbocker et al., 2020). These antibody fragments were designed to bind different epitopes covering the entire sequence of the target protein. This procedure enables the determination through in vitro assays of the regions exposed in the oligomers but not in the fibrillar deposits. VHHs that recognize α-synuclein fibers at different maturation stages have also been characterized and used to gain insight in fibril structures (Guilliams et al., 2013), thus helping in deciphering the fibril formation mechanisms. Even antibody fragments that bind the monomeric soluble forms of amyloidogenic proteins can be used to provide information on the aggregation process. For example, scFv antibody D10, which binds α-synuclein monomers in the C-terminal part, was instrumental in showing that this region of α-synuclein interferes in the aggregation process (Zhou et al., 2004). The nanobodies NbSyn2 and NbSyn87 have similarly been used to identify the role of different C-terminal regions of α-synuclein in aggregation (De Genst et al., 2010; El-Turk et al., 2016). Finally, a VHH targeting α-synuclein showed protection against α-synuclein toxicity in a cellular model. This study also showed that a proteasome targeting PEST motif enhanced this protective effect (Butler et al., 2016). The use of VHH in tauopathies is also considered: a VHH directed against the PHF6 motif of tau, a nucleation core, proved to be efficient against tau fibril formation in in vitro and cellular models, and showed efficacy in preventing tau seeding in a mouse model (Dupré et al., 2019; Danis et al., 2022).

Besides nanobodies directly targeting the amyloid-forming regions in proteins, other routes involved in the regulation of amyloidogenic properties such as functional modulation by PTMs may be addressed with nanobodies (El Turk et al., 2018). As a PTM involved in regulation of protein functions, the O-GlcNAc modification started to be scrutinized in the processes of amyloid formation (Ryan et al., 2019). To achieve this goal, global alteration of O-GlcNAc levels can be fulfilled with chemical inhibitors (Yuzwa et al., 2008; Yuzwa et al., 2012; Yuzwa et al., 2014b; Gloster et al., 2011; Dorfmueller et al., 2006; Macauley et al., 2005; Martin et al., 2018; Haltiwanger et al., 1998; Macauley and Vocadlo, 2010) (Figures 12A–C) or through manipulating gene expression of enzymes involved in the hexosamine biosynthesis pathway (HBP) (Wells et al., 2003) or directly the O-GlcNAc cycling enzymes, OGT and OGA (Akan et al., 2018; Wang et al., 2012; Shafi et al., 2000; O'Donnell et al., 2004; Olivier-Van Stichelen et al., 2017). Alternatively, approaches limiting an overall elevation of O-GlcNAc levels in cells are of great interest (Gorelik et al., 2019; Ramirez et al., 2020). Along these lines, nanobodies fused to OGT were engineered as proximity-directing agents in an innovative strategy for selectively increasing O-GlcNAc levels on a target protein in cells aiming at understanding the role of this key PTM (Figure 12C) (Ramirez et al., 2020). Truncation of the tetratricopeptide repeat (TPR) domain of OGT which is implicated in protein-protein interactions for substrate recognition and binding further achieved increased nanobody-directed selectivity for the target protein (Ramirez et al., 2020). First attempts were made with nanobodies targeting protein tags excluding the modification of endogenous proteins but providing increased levels of O-GlcNAcylation with similar O-GlcNAc profiles as OGT (Figure 12C). Moreover, this approach represents a versatile and economical way of increasing O-GlcNAc levels of a specific protein by preventing from screening nanobody libraries against the protein of interest. The use of a α-synuclein-targeted nanobody-OGT further proved its efficiency by selectively modifying endogenous α-synuclein in a cell model (Figure 12D). This approach could be further extended to in vitro systems to improve the efficiency of O-GlcNAc installation. A similar strategy for targeted protein deglycosylation in cells was described using nanobody-fused split OGA (Ge et al., 2021). As OGT TPR truncation reduces the overall elevation of protein O-GlcNAcylation, splitting of OGA minimize the overall effect of OGA overexpression on the O-GlcNAcome. Both nanobody-fused OGT and OGA are informative, complementary approaches to decipher O-GlcNAc-mediated functional regulation in vivo and in cells. Other strategies of proximity-induced O-GlcNAc modulation were evolved albeit not applied to amyloid proteins by now. They are based on designing recombined RNA aptamers that bind to both OGT and the protein of interest thereby inducing proximity for targeting OGT to specific proteins in cells (Zhu and Hart, 2020).

FIGURE 12
www.frontiersin.org

FIGURE 12. Modulation of O-GlcNAc modification of proteins by proximity-induced protein glycosylation using nanobody-OGT protein engineering. (A) Schematic representation of the O-GlcNAc dynamics regulated by single OGT and OGA enzymes, and modulation of OGA activity by an OGA inhibitor such as Thiamet G contributing to overall increased O-GlcNAc levels. (B) As OGT is the unique O-GlcNAc transferase in human, it has been suggested that it may act with regulatory subunits that address OGT to specific substrates depending on external stimuli and increase protein-specific O-GlcNAc levels. Treatment with Thiamet-G by increasing overall O-GlcNAc levels may contribute to increase protein-specific O-GlcNAc level. (C) Modulation of protein O-GlcNAc levels in cell or animal models. Condition 1, external stimuli and signal transduction lead to the expression of protein-specific regulatory subunits of OGT that increase its activity on selected proteins; condition 2, overall increase of protein O-GlcNAc levels upon treatment with Thiamet-G; condition 3, selected increase of O-GlcNAcylation of a target substrate by a nanobody fused to OGT targeting a specific protein tag. (D) This latter method (C, condition 3) was further extended to O-GlcNAcylation of endogenous α-synuclein using a nanobody-OGT targeting α-synuclein EPEA C-terminal sequence (Ramirez et al., 2020). EPEA-(4-TPR)-OGT refers to a truncated form of OGT containing 4 tetratricopeptide repeats fused to a nanobody targeting the EPEA sequence of α-synuclein. The TPR truncation of OGT limits the overall increase of O-GlcNAc levels while OGT coupling to a nanobody targeting the EPEA sequence increases the selectivity for α-synuclein. This approach leads to a selective elevation of α-synuclein O-GlcNAc levels.

An extension of the antibody fragment properties in tracking amyloid formation could be in vivo diagnosis to track disease progression. VHHs are well considered in imaging the brain on multiple targets (Li et al., 2016), and coupling with the possibility to engineer them to cross the blood brain barrier could lead to a whole new series of molecule in diagnosis of brain pathologies. VHHs could well be the new trend in brain diagnostic tools, as many studies have shown their potency, as in amyloid plaques imaging (Li et al., 2016; Vandesquille et al., 2017; Pothin et al., 2020).

These different examples give a short glimpse at the power of antibody fragments targeting various forms of amyloid proteins. They can be useful research tools, easy to manipulate and engineer, to help in deciphering complex mechanisms down to a molecular basis. Coupled to the progresses in rational design, antibody fragments show additional promises for diagnosis and therapy (Gerdes et al., 2020; Messer and Butler, 2020) and could address the bottle-neck of crossing the blood brain barrier to reach amyloid deposits in the central nervous system.

5 Conclusion

The recent resolution of amyloid fibril structures from individual brains at near-atomic resolution by cryo-EM has brought into focus the complexity of amyloid folds and polymorphism associated to neurodegenerative diseases while leaving open many questions. The regulation of amyloid assembly and selection of polymorph by PTMs of amyloid proteins and their interacting cofactors still remains to be deciphered as they are only poorly described in the cryo-EM structures due to heterogeneity. Chemical biology is helping to delineate the intricate processes of amyloid fibril formation and propagation, and amyloid protein toxicity. The tool kit from chemical biology and protein engineering offers handling of site-specific, posttranslationally modified amyloid proteins by semisynthesis, genetic code expansion, posttranslational chemical mutagenesis, or combination thereof. It also provides specific tools for the detection and characterization of amyloid PTM codes including enrichment strategies. In conjunction with cryo-EM, it should afford new insights into the role of PTMs in the mechanism of amyloid aggregation and how they shape the amyloid fold. In this regard, this rapidly expanding field also provides new probes to control and unravel the mechanisms of amyloid formation and associated conformational changes as probed by spectroscopic and optical methods, and for the detection of amyloids in vitro and in vivo as crucial mechanistic and diagnosis tools.

Author Contributions

CS-N wrote the initial version of the manuscript, made Figures. IL and DS contributed to the paragraph “Fluorine labeling and 19F NMR”. IL contributed to the paragraphs “Site-specific introduction of probes for the study of amyloids” and “PET imaging tracers”. IL, ED and CS-N contributed to the paragraph “Nanobody-directed detection and modulation of amyloid proteins”. LE contributed insights into O-GlcNAc processing/labeling. CS-N and IL edited and revised the manuscript.

Funding

This study was supported by the LabEx (Laboratory of Excellence) DISTALZ (Development of Innovative Strategies for a Transdisciplinary approach to Alzheimer’s disease ANR-11-LABX-01), by the French research agency ANR (projects ANR-18-CE44-0016 ToNIC and ANR-21-CE29-0024 MAGNETAU) and a grant from the Mizutani Foundation for Glycosciences (2018 Research Grant number 180122). Our laboratories are also supported by LiCEND (Lille Centre of Excellence in Neurodegenerative Disorders), Inserm, Métropole Européenne de Lille, University Lille and FEDER.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

Abdulbagi, M., Wang, L., Siddig, O., Di, B., and Li, B. (2021). D-amino Acids and D-Amino Acid-Containing Peptides: Potential Disease Biomarkers and Therapeutic Targets? Biomolecules 11, 1716. doi:10.3390/biom11111716

PubMed Abstract | CrossRef Full Text | Google Scholar

Abeywardana, T., Lin, Y. H., Rott, R., Engelender, S., and Pratt, M. R. (2013). Site-Specific Differences in Proteasome-dependent Degradation of Monoubiquitinated α-Synuclein. Chem. Biol. 20, 1207–1213. doi:10.1016/j.chembiol.2013.09.009

PubMed Abstract | CrossRef Full Text | Google Scholar

Abraha, A., Ghoshal, N., Gamblin, T. C., Cryns, V., Berry, R. W., Kuret, J., et al. (2000). C-terminal Inhibition of Tau Assembly In Vitro and in Alzheimer's Disease. J. Cell Sci. 113, 3737–3745. doi:10.1242/jcs.113.21.3737

PubMed Abstract | CrossRef Full Text | Google Scholar

Agard, N. J., Prescher, J. A., and Bertozzi, C. R. (2004). A Strain-Promoted [3 + 2] Azide−Alkyne Cycloaddition for Covalent Modification of Biomolecules in Living Systems. J. Am. Chem. Soc. 126, 15046–15047. doi:10.1021/ja044996f

PubMed Abstract | CrossRef Full Text | Google Scholar

Agouridas, V., El Mahdi, O., Diemer, V., Cargoët, M., Monbaliu, J.-C. M., and Melnyk, O. (2019). Native Chemical Ligation and Extended Methods: Mechanisms, Catalysis, Scope, and Limitations. Chem. Rev. 119, 7328–7443. doi:10.1021/acs.chemrev.8b00712

PubMed Abstract | CrossRef Full Text | Google Scholar

Aguilar Troyano, F. J., Merkens, K., Anwar, K., and Gómez‐Suárez, A. (2021). Radical‐Based Synthesis and Modification of Amino Acids. Angew. Chem. Int. Ed. 60, 1098–1115. doi:10.1002/anie.202010157

CrossRef Full Text | Google Scholar

Aguzzi, A., and Calella, A. M. (2009). Prions: Protein Aggregation and Infectious Diseases. Physiol. Rev. 89, 1105–1152. doi:10.1152/physrev.00006.2009

PubMed Abstract | CrossRef Full Text | Google Scholar

Akan, I., Olivier-Van Stichelen, S., Bond, M. R., and Hanover, J. A. (2018). Nutrient-drivenO-GlcNAc in Proteostasis and Neurodegeneration. J. Neurochem. 144, 7–34. doi:10.1111/jnc.14242

PubMed Abstract | CrossRef Full Text | Google Scholar

Al‐Hilaly, Y. K., Foster, B. E., Biasetti, L., Lutter, L., Pollack, S. J., Rickard, J. E., et al. (2020). Tau (297‐391) Forms Filaments that Structurally Mimic the Core of Paired Helical Filaments in Alzheimer's Disease Brain. FEBS Lett. 594, 944–950. doi:10.1002/1873-3468.13675

PubMed Abstract | CrossRef Full Text | Google Scholar

Alberti, S., and Hyman, A. A. (2021). Biomolecular Condensates at the Nexus of Cellular Stress, Protein Aggregation Disease and Ageing. Nat. Rev. Mol. Cell Biol. 22, 196–213. doi:10.1038/s41580-020-00326-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Aliyan, A., Cook, N. P., and Martí, A. A. (2019). Interrogating Amyloid Aggregates Using Fluorescent Probes. Chem. Rev. 119, 11819–11856. doi:10.1021/acs.chemrev.9b00404

PubMed Abstract | CrossRef Full Text | Google Scholar

Alonso, A. C., Zaidi, T., Grundke-Iqbal, I., and Iqbal, K. (1994). Role of Abnormally Phosphorylated Tau in the Breakdown of Microtubules in Alzheimer Disease. Proc. Natl. Acad. Sci. U.S.A. 91, 5562–5566. doi:10.1073/pnas.91.12.5562

PubMed Abstract | CrossRef Full Text | Google Scholar

Alonso, A. d. C., Zaidi, T., Novak, M., Grundke-Iqbal, I., and Iqbal, K. (2001). Hyperphosphorylation Induces Self-Assembly of τ into Tangles of Paired Helical Filaments/straight Filaments. Proc. Natl. Acad. Sci. U.S.A. 98, 6923–6928. doi:10.1073/pnas.121119298

PubMed Abstract | CrossRef Full Text | Google Scholar

Ambadipudi, S., Biernat, J., Riedel, D., Mandelkow, E., and Zweckstetter, M. (2017). Liquid-liquid Phase Separation of the Microtubule-Binding Repeats of the Alzheimer-Related Protein Tau. Nat. Commun. 8, 275. doi:10.1038/s41467-017-00480-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Amdursky, N., Erez, Y., and Huppert, D. (2012). Molecular Rotors: What Lies behind the High Sensitivity of the Thioflavin-T Fluorescent Marker. Acc. Chem. Res. 45, 1548–1557. doi:10.1021/ar300053p

PubMed Abstract | CrossRef Full Text | Google Scholar

Amniai, L., Barbier, P., Sillen, A., Wieruszeski, J.-M., Peyrot, V., Lippens, G., et al. (2009). Alzheimer Disease Specific Phosphoepitopes of Tau Interfere with Assembly of Tubulin but Not Binding to Microtubules. FASEB J. 23, 1146–1152. doi:10.1096/fj.08-121590

PubMed Abstract | CrossRef Full Text | Google Scholar

Anderson, J. P., Walker, D. E., Goldstein, J. M., de Laat, R., Banducci, K., Caccavello, R. J., et al. (2006). Phosphorylation of Ser-129 Is the Dominant Pathological Modification of α-Synuclein in Familial and Sporadic Lewy Body Disease. J. Biol. Chem. 281, 29739–29752. doi:10.1074/jbc.M600933200

PubMed Abstract | CrossRef Full Text | Google Scholar

Andronesi, O. C., Bergen, M. v., Biernat, J., Seidel, K., Griesinger, C., Mandelkow, E., et al. (2008). Characterization of Alzheimer's-like Paired Helical Filaments from the Core Domain of Tau Protein Using Solid-State NMR Spectroscopy. J. Am. Chem. Soc. 130, 5922–5928. doi:10.1021/ja7100517

PubMed Abstract | CrossRef Full Text | Google Scholar

Anfinsen, C. B., Haber, E., Sela, M., and White, F. H. (1961). The Kinetics of Formation of Native Ribonuclease during Oxidation of the Reduced Polypeptide Chain. Proc. Natl. Acad. Sci. U.S.A. 47, 1309–1314. doi:10.1073/pnas.47.9.1309

PubMed Abstract | CrossRef Full Text | Google Scholar

Anfinsen, C. B. (1973). Principles that Govern the Folding of Protein Chains. Science 181, 223–230. doi:10.1126/science.181.4096.223

PubMed Abstract | CrossRef Full Text | Google Scholar

Ansaloni, A., Wang, Z.-M., Jeong, J. S., Ruggeri, F. S., Dietler, G., and Lashuel, H. A. (2014). One-Pot Semisynthesis of Exon 1 of the Huntingtin Protein: New Tools for Elucidating the Role of Posttranslational Modifications in the Pathogenesis of Huntington's Disease. Angew. Chem. Int. Ed. 53, 1928–1933. doi:10.1002/anie.201307510

CrossRef Full Text | Google Scholar

Aprile, F. A., Sormanni, P., Podpolny, M., Chhangur, S., Needham, L.-M., Ruggeri, F. S., et al. (2020). Rational Design of a Conformation-specific Antibody for the Quantification of Aβ Oligomers. Proc. Natl. Acad. Sci. U.S.A. 117, 13509–13518. doi:10.1073/pnas.1919464117

PubMed Abstract | CrossRef Full Text | Google Scholar

Aragão Gomes, L., Uytterhoeven, V., Lopez-Sanmartin, D., Tomé, S. O., Tousseyn, T., Vandenberghe, R., et al. (2021). Maturation of Neuronal AD-Tau Pathology Involves Site-specific Phosphorylation of Cytoplasmic and Synaptic Tau Preceding Conformational Change and Fibril Formation. Acta Neuropathol. 141, 173–192. doi:10.1007/s00401-020-02251-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Arakhamia, T., Lee, C. E., Carlomagno, Y., Kumar, M., Duong, D. M., Wesseling, H., et al. (2020). Posttranslational Modifications Mediate the Structural Diversity of Tauopathy Strains. Cell 180, 633–644. e12. doi:10.1016/j.cell.2020.01.027

PubMed Abstract | CrossRef Full Text | Google Scholar

Arseni, D., Hasegawa, M., Murzin, A. G., Kametani, F., Arai, M., Yoshida, M., et al. (2021). Structure of Pathological TDP-43 Filaments from ALS with FTLD. Nature 601, 139–143. doi:10.1038/s41586-021-04199-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Arsić, A., Hagemann, C., Stajković, N., Schubert, T., and Nikić-Spiegel, I. (2022). Minimal Genetically Encoded Tags for Fluorescent Protein Labeling in Living Neurons. Nat. Commun. 13, 314. doi:10.1038/s41467-022-27956-y

PubMed Abstract | CrossRef Full Text | Google Scholar

Åslund, A., Sigurdson, C. J., Klingstedt, T., Grathwohl, S., Bolmont, T., Dickstein, D. L., et al. (2009). Novel Pentameric Thiophene Derivatives for In Vitro and In Vivo Optical Imaging of a Plethora of Protein Aggregates in Cerebral Amyloidoses. ACS Chem. Biol. 4, 673–684. doi:10.1021/cb900112v

PubMed Abstract | CrossRef Full Text | Google Scholar

Babinchak, W. M., Haider, R., Dumm, B. K., Sarkar, P., Surewicz, K., Choi, J.-K., et al. (2019). The Role of Liquid-Liquid Phase Separation in Aggregation of the TDP-43 Low-Complexity Domain. J. Biol. Chem. 294, 6306–6317. doi:10.1074/jbc.RA118.007222

PubMed Abstract | CrossRef Full Text | Google Scholar

Babinchak, W. M., and Surewicz, W. K. (2020). Liquid-Liquid Phase Separation and its Mechanistic Role in Pathological Protein Aggregation. J. Mol. Biol. 432, 1910–1925. doi:10.1016/j.jmb.2020.03.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Bai, Y., Wan, W., Huang, Y., Jin, W., Lyu, H., Xia, Q., et al. (2021). Quantitative Interrogation of Protein Co‐aggregation Using Multi-Color Fluorogenic Protein Aggregation Sensors. Chem. Sci. 12, 8468–8476. doi:10.1039/D1SC01122G

PubMed Abstract | CrossRef Full Text | Google Scholar

Balana, A. T., Levine, P. M., Craven, T. W., Mukherjee, S., Pedowitz, N. J., Moon, S. P., et al. (2021). O-GlcNAc Modification of Small Heat Shock Proteins Enhances Their Anti-amyloid Chaperone Activity. Nat. Chem. 13, 441–450. doi:10.1038/s41557-021-00648-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Balana, A. T., and Pratt, M. R. (2021). Mechanistic Roles for Altered O-GlcNAcylation in Neurodegenerative Disorders. Biochem. J. 478, 2733–2758. doi:10.1042/BCJ20200609

PubMed Abstract | CrossRef Full Text | Google Scholar

Balastik, M., Lim, J., Pastorino, L., and Lu, K. P. (2007). Pin1 in Alzheimer's Disease: Multiple Substrates, One Regulatory Mechanism? Biochimica Biophysica Acta (BBA) - Mol. Basis Dis. 1772, 422–429. doi:10.1016/j.bbadis.2007.01.006

CrossRef Full Text | Google Scholar

Baldwin, A. J., Knowles, T. P. J., Tartaglia, G. G., Fitzpatrick, A. W., Devlin, G. L., Shammas, S. L., et al. (2011). Metastability of Native Proteins and the Phenomenon of Amyloid Formation. J. Am. Chem. Soc. 133, 14160–14163. doi:10.1021/ja2017703

PubMed Abstract | CrossRef Full Text | Google Scholar

Bedrood, S., Li, Y., Isas, J. M., Hegde, B. G., Baxa, U., Haworth, I. S., et al. (2012). Fibril Structure of Human Islet Amyloid Polypeptide. J. Biol. Chem. 287, 5235–5241. doi:10.1074/jbc.M111.327817

PubMed Abstract | CrossRef Full Text | Google Scholar

Benson, M. D., Buxbaum, J. N., Eisenberg, D. S., Merlini, G., Saraiva, M. J. M., Sekijima, Y., et al. (2018). Amyloid Nomenclature 2018: Recommendations by the International Society of Amyloidosis (ISA) Nomenclature Committee. Amyloid 25, 215–219. doi:10.1080/13506129.2018.1549825

PubMed Abstract | CrossRef Full Text | Google Scholar

Benson, M. D., Buxbaum, J. N., Eisenberg, D. S., Merlini, G., Saraiva, M. J. M., Sekijima, Y., et al. (2020). Amyloid Nomenclature 2020: Update and Recommendations by the International Society of Amyloidosis (ISA) Nomenclature Committee. Amyloid 27, 217–222. doi:10.1080/13506129.2020.1835263

PubMed Abstract | CrossRef Full Text | Google Scholar

Bertoldo, J. B., Rodrigues, T., Dunsmore, L., Aprile, F. A., Marques, M. C., Rosado, L. A., et al. (2017). A Water-Bridged Cysteine-Cysteine Redox Regulation Mechanism in Bacterial Protein Tyrosine Phosphatases. Chem 3, 665–677. doi:10.1016/j.chempr.2017.07.009

PubMed Abstract | CrossRef Full Text | Google Scholar

Bertoncini, C. W., Fernandez, C. O., Griesinger, C., Jovin, T. M., and Zweckstetter, M. (2005). Familial Mutants of α-Synuclein with Increased Neurotoxicity Have a Destabilized Conformation. J. Biol. Chem. 280, 30649–30652. doi:10.1074/jbc.C500288200

PubMed Abstract | CrossRef Full Text | Google Scholar

Bertoncini, C. W., Jung, Y.-S., Fernandez, C. O., Hoyer, W., Griesinger, C., Jovin, T. M., et al. (2005). Release of Long-Range Tertiary Interactions Potentiates Aggregation of Natively Unstructured α-synuclein. Proc. Natl. Acad. Sci. U.S.A. 102, 1430–1435. doi:10.1073/pnas.0407146102

PubMed Abstract | CrossRef Full Text | Google Scholar

Biancalana, M., and Koide, S. (2010). Molecular Mechanism of Thioflavin-T Binding to Amyloid Fibrils. Biochimica Biophysica Acta (BBA) - Proteins Proteomics 1804, 1405–1412. doi:10.1016/j.bbapap.2010.04.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Bibow, S., Mukrasch, M. D., Chinnathambi, S., Biernat, J., Griesinger, C., Mandelkow, E., et al. (2011). The Dynamic Structure of Filamentous Tau. Angew. Chem. Int. Ed. 50, 11520–11524. doi:10.1002/anie.201105493

CrossRef Full Text | Google Scholar

Bitan, G., Lomakin, A., and Teplow, D. B. (2001). Amyloid β-Protein Oligomerization. J. Biol. Chem. 276, 35176–35184. doi:10.1074/jbc.M102223200

PubMed Abstract | CrossRef Full Text | Google Scholar

Bitan, G., and Teplow, D. B. (2004). Rapid Photochemical Cross-LinkingA New Tool for Studies of Metastable, Amyloidogenic Protein Assemblies. Acc. Chem. Res. 37, 357–364. doi:10.1021/ar000214l

PubMed Abstract | CrossRef Full Text | Google Scholar

Bitencourt, A. L. B., Campos, R. M., Cline, E. N., Klein, W. L., and Sebollela, A. (2020). Antibody Fragments as Tools for Elucidating Structure-Toxicity Relationships and for Diagnostic/Therapeutic Targeting of Neurotoxic Amyloid Oligomers. IJMS 21, 8920. doi:10.3390/ijms21238920

PubMed Abstract | CrossRef Full Text | Google Scholar

Bosques, C. J., and Imperiali, B. (2003). Photolytic Control of Peptide Self-Assembly. J. Am. Chem. Soc. 125, 7530–7531. doi:10.1021/ja035360b

PubMed Abstract | CrossRef Full Text | Google Scholar

Bourré, G., Cantrelle, F.-X., Kamah, A., Chambraud, B., Landrieu, I., and Smet-Nocca, C. (2018). Direct Crosstalk between O-GlcNAcylation and Phosphorylation of Tau Protein Investigated by NMR Spectroscopy. Front. Endocrinol. 9, 595. doi:10.3389/fendo.2018.00595

CrossRef Full Text | Google Scholar

Boyarko, B., and Hook, V. (2021). Human Tau Isoforms and Proteolysis for Production of Toxic Tau Fragments in Neurodegeneration. Front. Neurosci. 15, 702788. doi:10.3389/fnins.2021.702788

PubMed Abstract | CrossRef Full Text | Google Scholar

Boyko, S., Qi, X., Chen, T.-H., Surewicz, K., and Surewicz, W. K. (2019). Liquid-liquid Phase Separation of Tau Protein: The Crucial Role of Electrostatic Interactions. J. Biol. Chem. 294, 11054–11059. doi:10.1074/jbc.AC119.009198

PubMed Abstract | CrossRef Full Text | Google Scholar

Braak, H., Alafuzoff, I., Arzberger, T., Kretzschmar, H., and Del Tredici, K. (2006). Staging of Alzheimer Disease-Associated Neurofibrillary Pathology Using Paraffin Sections and Immunocytochemistry. Acta Neuropathol. 112, 389–404. doi:10.1007/s00401-006-0127-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Braak, H., and Braak, E. (1991). Neuropathological Stageing of Alzheimer-Related Changes. Acta Neuropathol. 82, 239–259. doi:10.1007/bf00308809

PubMed Abstract | CrossRef Full Text | Google Scholar

Braak, H., and Braak, E. (1995). Staging of Alzheimer's Disease-Related Neurofibrillary Changes. Neurobiol. Aging 16, 271–278. doi:10.1016/0197-4580(95)00021-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Braak, H., and Del Tredici, K. (2018). Spreading of Tau Pathology in Sporadic Alzheimer's Disease along Cortico-Cortical Top-Down Connections. Cereb. Cortex 28, 3372–3384. doi:10.1093/cercor/bhy152

PubMed Abstract | CrossRef Full Text | Google Scholar

Braak, H., Ghebremedhin, E., Rüb, U., Bratzke, H., and Del Tredici, K. (2004). Stages in the Development of Parkinson's Disease-Related Pathology. Cell Tissue Res. 318, 121–134. doi:10.1007/s00441-004-0956-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Brelstaff, J., Ossola, B., Neher, J. J., Klingstedt, T. s., Nilsson, K. P. R., Goedert, M., et al. (2015). The Fluorescent Pentameric Oligothiophene pFTAA Identifies Filamentous Tau in Live Neurons Cultured from Adult P301S Tau Mice. Front. Neurosci. 9, 9. doi:10.3389/fnins.2015.00184

PubMed Abstract | CrossRef Full Text | Google Scholar

Brinkmalm, G., Hong, W., Wang, Z., Liu, W., O’Malley, T. T., Sun, X., et al. (2019). Identification of Neurotoxic Cross-Linked Amyloid-β Dimers in the Alzheimer's Brain. Brain 142, 1441–1457. doi:10.1093/brain/awz066

PubMed Abstract | CrossRef Full Text | Google Scholar

Broncel, M., Krause, E., Schwarzer, D., and Hackenberger, C. P. R. (2012). The Alzheimer's Disease Related Tau Protein as a New Target for Chemical Protein Engineering. Chem. Eur. J. 18, 2488–2492. doi:10.1002/chem.201103032

PubMed Abstract | CrossRef Full Text | Google Scholar

Brotzakis, Z. F., Lindstedt, P. R., Taylor, R. J., Rinauro, D. J., Gallagher, N. C. T., Bernardes, G. J. L., et al. (2021). A Structural Ensemble of a Tau-Microtubule Complex Reveals Regulatory Tau Phosphorylation and Acetylation Mechanisms. ACS Cent. Sci. 7, 1986–1995. doi:10.1021/acscentsci.1c00585

PubMed Abstract | CrossRef Full Text | Google Scholar

Buehler, M. J., and Cranford, fnm. (2010). Materiomics: Biological Protein Materials, from Nano to Macro. NSA, 127. doi:10.2147/NSA.S9037

PubMed Abstract | CrossRef Full Text | Google Scholar

Buell, A. K., Dobson, C. M., and Knowles, T. P. J. (2014). The Physical Chemistry of the Amyloid Phenomenon: Thermodynamics and Kinetics of Filamentous Protein Aggregation. Essays Biochem. 56, 11–39. doi:10.1042/bse0560011

PubMed Abstract | CrossRef Full Text | Google Scholar

Butler, D. C., Joshi, S. N., Genst, E. D., Baghel, A. S., Dobson, C. M., and Messer, A. (2016). Bifunctional Anti-non-amyloid Component α-Synuclein Nanobodies Are Protective In Situ. PLoS ONE 11, e0165964. doi:10.1371/journal.pone.0165964

PubMed Abstract | CrossRef Full Text | Google Scholar

Butterfield, S., Hejjaoui, M., Fauvet, B., Awad, L., and Lashuel, H. A. (2012). Chemical Strategies for Controlling Protein Folding and Elucidating the Molecular Mechanisms of Amyloid Formation and Toxicity. J. Mol. Biol. 421, 204–236. doi:10.1016/j.jmb.2012.01.051

PubMed Abstract | CrossRef Full Text | Google Scholar

Cantrelle, F.-X., Loyens, A., Trivelli, X., Reimann, O., Despres, C., Gandhi, N. S., et al. (2021). Phosphorylation and O-GlcNAcylation of the PHF-1 Epitope of Tau Protein Induce Local Conformational Changes of the C-Terminus and Modulate Tau Self-Assembly into Fibrillar Aggregates. Front. Mol. Neurosci. 14, 661368. doi:10.3389/fnmol.2021.661368

PubMed Abstract | CrossRef Full Text | Google Scholar

Cattani, J., Subramaniam, V., and Drescher, M. (2017). Room-temperature In-Cell EPR Spectroscopy: Alpha-Synuclein Disease Variants Remain Intrinsically Disordered in the Cell. Phys. Chem. Chem. Phys. 19, 18147–18151. doi:10.1039/C7CP03432F

PubMed Abstract | CrossRef Full Text | Google Scholar

Caughey, B., and Lansbury, P. T. (2003). Protofibrils, Pores, Fibrils, and Neurodegeneration: Separating the Responsible Protein Aggregates from the Innocent Bystanders. Annu. Rev. Neurosci. 26, 267–298. doi:10.1146/annurev.neuro.26.010302.081142

PubMed Abstract | CrossRef Full Text | Google Scholar

Cendrowska, U., Silva, P. J., Ait-Bouziad, N., Müller, M., Guven, Z. P., Vieweg, S., et al. (2020). Unraveling the Complexity of Amyloid Polymorphism Using Gold Nanoparticles and Cryo-EM. Proc. Natl. Acad. Sci. U.S.A. 117, 6866–6874. doi:10.1073/pnas.1916176117

PubMed Abstract | CrossRef Full Text | Google Scholar

Chalker, J. M., Gunnoo, S. B., Boutureira, O., Gerstberger, S. C., Fernández-González, M., Bernardes, G. J. L., et al. (2011). Methods for Converting Cysteine to Dehydroalanine on Peptides and Proteins. Chem. Sci. 2, 1666. doi:10.1039/c1sc00185j

CrossRef Full Text | Google Scholar

Chambraud, B., Sardin, E., Giustiniani, J., Dounane, O., Schumacher, M., Goedert, M., et al. (2010). A Role for FKBP52 in Tau Protein Function. Proc. Natl. Acad. Sci. U.S.A. 107, 2658–2663. doi:10.1073/pnas.0914957107

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, Y., Wu, Y.-r., Yang, H.-y., Li, X.-z., Jie, M.-m., Hu, C.-j., et al. (2018). Prolyl Isomerase Pin1: a Promoter of Cancer and a Target for Therapy. Cell Death Dis. 9, 883. doi:10.1038/s41419-018-0844-y

PubMed Abstract | CrossRef Full Text | Google Scholar

Chiki, A., DeGuire, S. M., Ruggeri, F. S., Sanfelice, D., Ansaloni, A., Wang, Z.-M., et al. (2017). Mutant Exon1 Huntingtin Aggregation Is Regulated by T3 Phosphorylation-Induced Structural Changes and Crosstalk between T3 Phosphorylation and Acetylation at K6. Angew. Chem. Int. Ed. 56, 5202–5207. doi:10.1002/anie.201611750

PubMed Abstract | CrossRef Full Text | Google Scholar

Chiki, A., Ricci, J., Hegde, R., Abriata, L. A., Reif, A., Boudeffa, D., et al. (2021). Site‐Specific Phosphorylation of Huntingtin Exon 1 Recombinant Proteins Enabled by the Discovery of Novel Kinases. ChemBioChem 22, 217–231. doi:10.1002/cbic.202000508

PubMed Abstract | CrossRef Full Text | Google Scholar

Chuh, K. N., Batt, A. R., and Pratt, M. R. (2016). Chemical Methods for Encoding and Decoding of Posttranslational Modifications. Cell Chem. Biol. 23, 86–107. doi:10.1016/j.chembiol.2015.11.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Chung, C. G., Lee, H., and Lee, S. B. (2018). Mechanisms of Protein Toxicity in Neurodegenerative Diseases. Cell. Mol. Life Sci. 75, 3159–3180. doi:10.1007/s00018-018-2854-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Clark, C. M. (2011). Use of Florbetapir-PET for Imaging β-Amyloid Pathology. JAMA 305, 275. doi:10.1001/jama.2010.2008

PubMed Abstract | CrossRef Full Text | Google Scholar

Clore, G. M., Tang, C., and Iwahara, J. (2007). Elucidating Transient Macromolecular Interactions Using Paramagnetic Relaxation Enhancement. Curr. Opin. Struct. Biol. 17, 603–616. doi:10.1016/j.sbi.2007.08.013

PubMed Abstract | CrossRef Full Text | Google Scholar

Cohen, S. I. A., Linse, S., Luheshi, L. M., Hellstrand, E., White, D. A., Rajah, L., et al. (2013). Proliferation of Amyloid-Β42 Aggregates Occurs through a Secondary Nucleation Mechanism. Proc. Natl. Acad. Sci. U.S.A. 110, 9758–9763. doi:10.1073/pnas.1218402110

PubMed Abstract | CrossRef Full Text | Google Scholar

Cohen, T. J., Guo, J. L., Hurtado, D. E., Kwong, L. K., Mills, I. P., Trojanowski, J. Q., et al. (2011). The Acetylation of Tau Inhibits its Function and Promotes Pathological Tau Aggregation. Nat. Commun. 2, 252. doi:10.1038/ncomms1255

PubMed Abstract | CrossRef Full Text | Google Scholar

Colin, M., Dujardin, S., Schraen-Maschke, S., Meno-Tetang, G., Duyckaerts, C., Courade, J.-P., et al. (2020). From the Prion-like Propagation Hypothesis to Therapeutic Strategies of Anti-tau Immunotherapy. Acta Neuropathol. 139, 3–25. doi:10.1007/s00401-019-02087-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Conicella, A. E., Dignon, G. L., Zerze, G. H., Schmidt, H. B., D’Ordine, A. M., Kim, Y. C., et al. (2020). TDP-43 α-helical Structure Tunes Liquid-Liquid Phase Separation and Function. Proc. Natl. Acad. Sci. U.S.A. 117, 5883–5894. doi:10.1073/pnas.1912055117

PubMed Abstract | CrossRef Full Text | Google Scholar

Cope, T. E., Rittman, T., Borchert, R. J., Jones, P. S., Vatansever, D., Allinson, K., et al. (2018). Tau Burden and the Functional Connectome in Alzheimer's Disease and Progressive Supranuclear Palsy. Brain 141, 550–567. doi:10.1093/brain/awx347

PubMed Abstract | CrossRef Full Text | Google Scholar

Curtis, C., Gamez, J. E., Singh, U., Sadowsky, C. H., Villena, T., Sabbagh, M. N., et al. (2015). Phase 3 Trial of Flutemetamol Labeled with Radioactive Fluorine 18 Imaging and Neuritic Plaque Density. JAMA Neurol. 72, 287. doi:10.1001/jamaneurol.2014.4144

PubMed Abstract | CrossRef Full Text | Google Scholar

Dai, X., Böker, A., and Glebe, U. (2019). Broadening the Scope of Sortagging. RSC Adv. 9, 4700–4721. doi:10.1039/C8RA06705H

CrossRef Full Text | Google Scholar

Dammers, C., Yolcu, D., Kukuk, L., Willbold, D., Pickhardt, M., Mandelkow, E., et al. (2016). Selection and Characterization of Tau Binding ᴅ-Enantiomeric Peptides with Potential for Therapy of Alzheimer Disease. PLoS ONE 11, e0167432. doi:10.1371/journal.pone.0167432

PubMed Abstract | CrossRef Full Text | Google Scholar

Dang, M., Lim, L., Kang, J., and Song, J. (2021). ATP Biphasically Modulates LLPS of TDP-43 PLD by Specifically Binding Arginine Residues. Commun. Biol. 4, 714. doi:10.1038/s42003-021-02247-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Danis, C., Dupré, E., Zejneli, O., Caillierez, R., Arrial, A., Bégard, S., et al. (2022). Inhibition of Tau Seeding by Targeting Tau Nucleation Core within Neurons with a Single Domain Antibody Fragment. Mol. Ther. 30, 1484S1525001622000090–1499. doi:10.1016/j.ymthe.2022.01.009

CrossRef Full Text | Google Scholar

Dawson, P. E., Muir, T. W., Clark-Lewis, I., and Kent, S. B. H. (1994). Synthesis of Proteins by Native Chemical Ligation. Science 266, 776–779. doi:10.1126/science.7973629

PubMed Abstract | CrossRef Full Text | Google Scholar

De Genst, E., and Dobson, C. M. (2012). “Nanobodies as Structural Probes of Protein Misfolding and Fibril Formation,” in Single Domain Antibodies. Methods in Molecular Biology. Editors D Saerens, and S Muyldermans (Totowa, NJ: Humana Press), 533–558. doi:10.1007/978-1-61779-968-6_34

PubMed Abstract | CrossRef Full Text | Google Scholar

De Genst, E. J., Guilliams, T., Wellens, J., O'Day, E. M., Waudby, C. A., Meehan, S., et al. (2010). Structure and Properties of a Complex of α-Synuclein and a Single-Domain Camelid Antibody. J. Mol. Biol. 402, 326–343. doi:10.1016/j.jmb.2010.07.001

PubMed Abstract | CrossRef Full Text | Google Scholar

De Leon, C. A., Levine, P. M., Craven, T. W., and Pratt, M. R. (2017). The Sulfur-Linked Analogue of O-GlcNAc (S-GlcNAc) Is an Enzymatically Stable and Reasonable Structural Surrogate for O-GlcNAc at the Peptide and Protein Levels. Biochemistry 56, 3507–3517. doi:10.1021/acs.biochem.7b00268

PubMed Abstract | CrossRef Full Text | Google Scholar

Dedmon, M. M., Lindorff-Larsen, K., Christodoulou, J., Vendruscolo, M., and Dobson, C. M. (2005). Mapping Long-Range Interactions in α-Synuclein Using Spin-Label NMR and Ensemble Molecular Dynamics Simulations. J. Am. Chem. Soc. 127, 476–477. doi:10.1021/ja044834j

PubMed Abstract | CrossRef Full Text | Google Scholar

Deffar, K., Shi, H., Li, L., Wang, X., and Zhu, X. (2009). Nanobodies - the New Concept in Antibody Engineering. Afr. J. Biotechnol. 8.

Google Scholar

Desmyter, A., Spinelli, S., Roussel, A., and Cambillau, C. (2015). Camelid Nanobodies: Killing Two Birds with One Stone. Curr. Opin. Struct. Biol. 32, 1–8. doi:10.1016/j.sbi.2015.01.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Despres, C., Byrne, C., Qi, H., Cantrelle, F.-X., Huvent, I., Chambraud, B., et al. (2017). Identification of the Tau Phosphorylation Pattern that Drives its Aggregation. Proc. Natl. Acad. Sci. U.S.A. 114, 9080–9085. doi:10.1073/pnas.1708448114

PubMed Abstract | CrossRef Full Text | Google Scholar

Despres, C., Di, J., Cantrelle, F.-X., Li, Z., Huvent, I., Chambraud, B., et al. (2019). Major Differences between the Self-Assembly and Seeding Behavior of Heparin-Induced and In Vitro Phosphorylated Tau and Their Modulation by Potential Inhibitors. ACS Chem. Biol. 14, 1363–1379. doi:10.1021/acschembio.9b00325

PubMed Abstract | CrossRef Full Text | Google Scholar

Diaz-Espinoza, R. (2021). Recent High-Resolution Structures of Amyloids Involved in Neurodegenerative Diseases. Front. Aging Neurosci. 13, 782617. doi:10.3389/fnagi.2021.782617

PubMed Abstract | CrossRef Full Text | Google Scholar

Dikiy, I., Fauvet, B., Jovičić, A., Mahul-Mellier, A.-L., Desobry, C., El-Turk, F., et al. (2016). Semisynthetic and In Vitro Phosphorylation of Alpha-Synuclein at Y39 Promotes Functional Partly Helical Membrane-Bound States Resembling Those Induced by PD Mutations. ACS Chem. Biol. 11, 2428–2437. doi:10.1021/acschembio.6b00539

PubMed Abstract | CrossRef Full Text | Google Scholar

Dobson, C. M. (2003). Protein Folding and Misfolding. Nature 426, 884–890. doi:10.1038/nature02261

PubMed Abstract | CrossRef Full Text | Google Scholar

Dong, Y., and Chen, Y. (2018). The Role of Ubiquitinated TDP-43 in Amyotrophic Lateral Sclerosis. NN 5, 5. doi:10.20517/2347-8659.2017.47

CrossRef Full Text | Google Scholar

Dorfmueller, H. C., Borodkin, V. S., Schimpl, M., Shepherd, S. M., Shpiro, N. A., and van Aalten, D. M. F. (2006). GlcNAcstatin: a Picomolar, Selective O-GlcNAcase Inhibitor that Modulates Intracellular O-GlcNAcylation Levels. J. Am. Chem. Soc. 128, 16484–16485. doi:10.1021/ja066743n

PubMed Abstract | CrossRef Full Text | Google Scholar

Dos Santos, S., Chandravarkar, A., Mandal, B., Mimna, R., Murat, K., Saucède, L., et al. (2005). Switch-Peptides: Controlling Self-Assembly of Amyloid β-Derived Peptides In Vitro by Consecutive Triggering of Acyl Migrations. J. Am. Chem. Soc. 127, 11888–11889. doi:10.1021/ja052083v

PubMed Abstract | CrossRef Full Text | Google Scholar

Drummond, E., Nayak, S., Faustin, A., Pires, G., Hickman, R. A., Askenazi, M., et al. (2017). Proteomic Differences in Amyloid Plaques in Rapidly Progressive and Sporadic Alzheimer's Disease. Acta Neuropathol. 133, 933–954. doi:10.1007/s00401-017-1691-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Dujardin, S., Commins, C., Lathuiliere, A., Beerepoot, P., Fernandes, A. R., Kamath, T. V., et al. (2020). Tau Molecular Diversity Contributes to Clinical Heterogeneity in Alzheimer's Disease. Nat. Med. 26, 1256–1263. doi:10.1038/s41591-020-0938-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Dupré, E., Danis, C., Arrial, A., Hanoulle, X., Homa, M., Cantrelle, F.-X., et al. (2019). Single Domain Antibody Fragments as New Tools for the Detection of Neuronal Tau Protein in Cells and in Mice Studies. ACS Chem. Neurosci. 10, 3997–4006. doi:10.1021/acschemneuro.9b00217

PubMed Abstract | CrossRef Full Text | Google Scholar

Dutta, S., Finn, T. S., Kuhn, A. J., Abrams, B., and Raskatov, J. A. (2019). Chirality Dependence of Amyloid β Cellular Uptake and a New Mechanistic Perspective. ChemBioChem 20, 1023–1026. doi:10.1002/cbic.201800708

PubMed Abstract | CrossRef Full Text | Google Scholar

Dutta, S., Foley, A. R., Kuhn, A. J., Abrams, B., Lee, H. W., and Raskatov, J. A. (2019). New Insights into Differential Aggregation of Enantiomerically Pure and Racemic Aβ40 Systems. Peptide Sci. 111, 111. doi:10.1002/pep2.24139

CrossRef Full Text | Google Scholar

Dutta, S., Foley, A. R., Warner, C. J. A., Zhang, X., Rolandi, M., Abrams, B., et al. (2017). Suppression of Oligomer Formation and Formation of Non‐Toxic Fibrils upon Addition of Mirror‐Image Aβ42 to the Natural L ‐Enantiomer. Angew. Chem. Int. Ed. 56, 11506–11510. doi:10.1002/anie.201706279

PubMed Abstract | CrossRef Full Text | Google Scholar

Eidenmüller, J., Fath, T., Maas, T., Pool, M., Sontag, E., and Brandt, R. (2001). Phosphorylation-mimicking Glutamate Clusters in the Proline-Rich Region Are Sufficient to Simulate the Functional Deficiencies of Hyperphosphorylated Tau Protein. Biochem. J. 357, 759–767. doi:10.1042/bj3570759

PubMed Abstract | CrossRef Full Text | Google Scholar

El Turk, F., De Genst, E., Guilliams, T., Fauvet, B., Hejjaoui, M., Di Trani, J., et al. (2018). Exploring the Role of Post-translational Modifications in Regulating α-synuclein Interactions by Studying the Effects of Phosphorylation on Nanobody Binding. Protein Sci. 27, 1262–1274. doi:10.1002/pro.3412

PubMed Abstract | CrossRef Full Text | Google Scholar

El-Turk, F., Newby, F. N., De Genst, E., Guilliams, T., Sprules, T., Mittermaier, A., et al. (2016). Structural Effects of Two Camelid Nanobodies Directed to Distinct C-Terminal Epitopes on α-Synuclein. Biochemistry 55, 3116–3122. doi:10.1021/acs.biochem.6b00149

PubMed Abstract | CrossRef Full Text | Google Scholar

Emadi, S., Kasturirangan, S., Wang, M. S., Schulz, P., and Sierks, M. R. (2009). Detecting Morphologically Distinct Oligomeric Forms of α-Synuclein. J. Biol. Chem. 284, 11048–11058. doi:10.1074/jbc.M806559200

PubMed Abstract | CrossRef Full Text | Google Scholar

Fakhree, M. A. A., Nolten, I. S., Blum, C., and Claessens, M. M. A. E. (2018). Different Conformational Subensembles of the Intrinsically Disordered Protein α-Synuclein in Cells. J. Phys. Chem. Lett. 9, 1249–1253. doi:10.1021/acs.jpclett.8b00092

PubMed Abstract | CrossRef Full Text | Google Scholar

Falcon, B., Zhang, W., Murzin, A. G., Murshudov, G., Garringer, H. J., Vidal, R., et al. (2018). Structures of Filaments from Pick's Disease Reveal a Novel Tau Protein Fold. Nature 561, 137–140. doi:10.1038/s41586-018-0454-y

PubMed Abstract | CrossRef Full Text | Google Scholar

Falcon, B., Zhang, W., Schweighauser, M., Murzin, A. G., Vidal, R., Garringer, H. J., et al. (2018). Tau Filaments from Multiple Cases of Sporadic and Inherited Alzheimer's Disease Adopt a Common Fold. Acta Neuropathol. 136, 699–708. doi:10.1007/s00401-018-1914-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Falcon, B., Zivanov, J., Zhang, W., Murzin, A. G., Garringer, H. J., Vidal, R., et al. (2019). Novel Tau Filament Fold in Chronic Traumatic Encephalopathy Encloses Hydrophobic Molecules. Nature 568, 420–423. doi:10.1038/s41586-019-1026-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Fandrich, M. (2002). The Behaviour of Polyamino Acids Reveals an Inverse Side Chain Effect in Amyloid Structure Formation. EMBO J. 21, 5682–5690. doi:10.1093/emboj/cdf573

PubMed Abstract | CrossRef Full Text | Google Scholar

Fichou, Y., Lin, Y., Rauch, J. N., Vigers, M., Zeng, Z., Srivastava, M., et al. (2018). Cofactors Are Essential Constituents of Stable and Seeding-Active Tau Fibrils. Proc. Natl. Acad. Sci. U.S.A. 115, 13234–13239. doi:10.1073/pnas.1810058115

PubMed Abstract | CrossRef Full Text | Google Scholar

Fichou, Y., Oberholtzer, Z. R., Ngo, H., Cheng, C.-Y., Keller, T. J., Eschmann, N. A., et al. (2019). Tau-Cofactor Complexes as Building Blocks of Tau Fibrils. Front. Neurosci. 13, 1339. doi:10.3389/fnins.2019.01339

PubMed Abstract | CrossRef Full Text | Google Scholar

Fitzpatrick, A. W. P., Falcon, B., He, S., Murzin, A. G., Murshudov, G., Garringer, H. J., et al. (2017). Cryo-EM Structures of Tau Filaments from Alzheimer's Disease. Nature 547, 185–190. doi:10.1038/nature23002

PubMed Abstract | CrossRef Full Text | Google Scholar

Flagmeier, P., Meisl, G., Vendruscolo, M., Knowles, T. P. J., Dobson, C. M., Buell, A. K., et al. (2016). Mutations Associated with Familial Parkinson's Disease Alter the Initiation and Amplification Steps of α-synuclein Aggregation. Proc. Natl. Acad. Sci. U.S.A. 113, 10328–10333. doi:10.1073/pnas.1604645113

PubMed Abstract | CrossRef Full Text | Google Scholar

Foley, A. R., and Raskatov, J. A. (2021). Understanding and Controlling Amyloid Aggregation with Chirality. Curr. Opin. Chem. Biol. 64, 1–9. doi:10.1016/j.cbpa.2021.01.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Frost, B., Ollesch, J., Wille, H., and Diamond, M. I. (2009). Conformational Diversity of Wild-type Tau Fibrils Specified by Templated Conformation Change. J. Biol. Chem. 284, 3546–3551. doi:10.1074/jbc.M805627200

PubMed Abstract | CrossRef Full Text | Google Scholar

Galesic, A., Rakshit, A., Cutolo, G., Pacheco, R. P., Balana, A. T., Moon, S. P., et al. (2021). Comparison of N-Acetyl-Glucosamine to Other Monosaccharides Reveals Structural Differences for the Inhibition of α-Synuclein Aggregation. ACS Chem. Biol. 16, 14–19. doi:10.1021/acschembio.0c00716

PubMed Abstract | CrossRef Full Text | Google Scholar

Gandhi, N. S., Kukic, P., Lippens, G., and Mancera, R. L. (2017). Molecular Dynamics Simulation of Tau Peptides for the Investigation of Conformational Changes Induced by Specific Phosphorylation Patterns. Methods Mol. Biol. 1523, 33–59. doi:10.1007/978-1-4939-6598-4_3

PubMed Abstract | CrossRef Full Text | Google Scholar

Gao, H., Shi, M., Wang, R., Wang, C., Shao, C., Gu, Y., et al. (2018). A Widely Compatible Expression System for the Production of Highly O-GlcNAcylated Recombinant Protein in Escherichia coli. Glycobiology 28, 949–957. doi:10.1093/glycob/cwy077

PubMed Abstract | CrossRef Full Text | Google Scholar

Gao, W., Cho, E., Liu, Y., and Lu, Y. (2019). Advances and Challenges in Cell-free Incorporation of Unnatural Amino Acids into Proteins. Front. Pharmacol. 10, 611. doi:10.3389/fphar.2019.00611

PubMed Abstract | CrossRef Full Text | Google Scholar

Gaspar, R., Meisl, G., Buell, A. K., Young, L., Kaminski, C. F., Knowles, T. P. J., et al. (2017). Secondary Nucleation of Monomers on Fibril Surface Dominatesα-Synuclein Aggregation and Provides Autocatalytic Amyloid Amplification. Quart. Rev. Biophys. 50, e6. doi:10.1017/S0033583516000172

CrossRef Full Text | Google Scholar

Gautier, A., Juillerat, A., Heinis, C., Corrêa, I. R., Kindermann, M., Beaufils, F., et al. (2008). An Engineered Protein Tag for Multiprotein Labeling in Living Cells. Chem. Biol. 15, 128–136. doi:10.1016/j.chembiol.2008.01.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Ge, Y., Ramirez, D. H., Yang, B., D’Souza, A. K., Aonbangkhen, C., Wong, S., et al. (2021). Target Protein Deglycosylation in Living Cells by a Nanobody-Fused Split O-GlcNAcase. Nat. Chem. Biol. 17, 593–600. doi:10.1038/s41589-021-00757-y

PubMed Abstract | CrossRef Full Text | Google Scholar

Ge, Y., and Woo, C. M. (2021). Writing and Erasing O-GlcNAc from Target Proteins in Cells. Biochem. Soc. Trans. 49, 2891–2901. doi:10.1042/BST20210865

PubMed Abstract | CrossRef Full Text | Google Scholar

Gerdes, C., Waal, N., Offner, T., Fornasiero, E. F., Wender, N., Verbarg, H., et al. (2020). A Nanobody-Based Fluorescent Reporter Reveals Human α-synuclein in the Cell Cytosol. Nat. Commun. 11, 2729. doi:10.1038/s41467-020-16575-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Ghanem, S. S., Majbour, N. K., Vaikath, N. N., Ardah, M. T., Erskine, D., Jensen, N. M., et al. (2022). α-Synuclein Phosphorylation at Serine 129 Occurs after Initial Protein Deposition and Inhibits Seeded Fibril Formation and Toxicity. Proc. Natl. Acad. Sci. U.S.A. 119, e2109617119. doi:10.1073/pnas.2109617119

PubMed Abstract | CrossRef Full Text | Google Scholar

Gimenez, D., Phelan, A., Murphy, C. D., and Cobb, S. L. (2021). 19F NMR as a Tool in Chemical Biology. Beilstein J. Org. Chem. 17, 293–318. doi:10.3762/bjoc.17.28

PubMed Abstract | CrossRef Full Text | Google Scholar

Giustiniani, J., Chambraud, B., Sardin, E., Dounane, O., Guillemeau, K., Nakatani, H., et al. (2014). Immunophilin FKBP52 Induces Tau-P301l Filamentous Assembly In Vitro and Modulates its Activity in a Model of Tauopathy. Proc. Natl. Acad. Sci. U.S.A. 111, 4584–4589. doi:10.1073/pnas.1402645111

PubMed Abstract | CrossRef Full Text | Google Scholar

Giustiniani, J., Sineus, M., Sardin, E., Dounane, O., Panchal, M., Sazdovitch, V., et al. (2012). Decrease of the Immunophilin FKBP52 Accumulation in Human Brains of Alzheimer's Disease and FTDP-17. Jad 29, 471–483. doi:10.3233/JAD-2011-111895

PubMed Abstract | CrossRef Full Text | Google Scholar

Gloster, T. M., Zandberg, W. F., Heinonen, J. E., Shen, D. L., Deng, L., and Vocadlo, D. J. (2011). Hijacking a Biosynthetic Pathway Yields a Glycosyltransferase Inhibitor within Cells. Nat. Chem. Biol. 7, 174–181. doi:10.1038/nchembio.520

PubMed Abstract | CrossRef Full Text | Google Scholar

Goedert, M., Jakes, R., Spillantini, M. G., Hasegawa, M., Smith, M. J., and Crowther, R. A. (1996). Assembly of Microtubule-Associated Protein Tau into Alzheimer-like Filaments Induced by Sulphated Glycosaminoglycans. Nature 383, 550–553. doi:10.1038/383550a0

PubMed Abstract | CrossRef Full Text | Google Scholar

Gong, C.-X., Liu, F., Grundke-Iqbal, I., and Iqbal, K. (2006). Impaired Brain Glucose Metabolism Leads to Alzheimer Neurofibrillary Degeneration through a Decrease in Tau O-GlcNAcylation. Jad 9, 1–12. doi:10.3233/jad-2006-9101

PubMed Abstract | CrossRef Full Text | Google Scholar

Goodwin, O. Y., Thomasson, M. S., Lin, A. J., Sweeney, M. M., and Macnaughtan, M. A. (2013). E. coli Sabotages the In Vivo Production of O-Linked β-N-acetylglucosamine-modified Proteins. J. Biotechnol. 168, 315–323. doi:10.1016/j.jbiotec.2013.10.008

PubMed Abstract | CrossRef Full Text | Google Scholar

Gorelik, A., Bartual, S. G., Borodkin, V. S., Varghese, J., Ferenbach, A. T., and van Aalten, D. M. F. (2019). Genetic Recoding to Dissect the Roles of Site-specific Protein O-GlcNAcylation. Nat. Struct. Mol. Biol. 26, 1071–1077. doi:10.1038/s41594-019-0325-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Gorsky, M. K., Burnouf, S., Dols, J., Mandelkow, E., and Partridge, L. (2016). Acetylation Mimic of Lysine 280 Exacerbates Human Tau Neurotoxicity In Vivo. Sci. Rep. 6, 22685. doi:10.1038/srep22685

PubMed Abstract | CrossRef Full Text | Google Scholar

Gour, N., Kshtriya, V., Gupta, S., Koshti, B., Singh, R., Patel, D., et al. (2019). Synthesis and Aggregation Studies of a Pyridothiazole-Based AIEE Probe and its Application in Sensing Amyloid Fibrillation. ACS Appl. Bio Mat. 2, 4442–4455. doi:10.1021/acsabm.9b00627

CrossRef Full Text | Google Scholar

Graham, D. L., Gray, A. J., Joyce, J. A., Yu, D., O'Moore, J., Carlson, G. A., et al. (2014). Increased O-GlcNAcylation Reduces Pathological Tau without Affecting its Normal Phosphorylation in a Mouse Model of Tauopathy. Neuropharmacology 79, 307–313. doi:10.1016/j.neuropharm.2013.11.025

PubMed Abstract | CrossRef Full Text | Google Scholar

Grese, Z. R., Bastos, A. C., Mamede, L. D., French, R. L., Miller, T. M., and Ayala, Y. M. (2021). Specific RNA Interactions Promote TDP‐43 Multivalent Phase Separation and Maintain Liquid Properties. EMBO Rep. 22, 22. doi:10.15252/embr.202153632

CrossRef Full Text | Google Scholar

Groenning, M. (2010). Binding Mode of Thioflavin T and Other Molecular Probes in the Context of Amyloid Fibrils-Current Status. J. Chem. Biol. 3, 1–18. doi:10.1007/s12154-009-0027-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Guerrero-Ferreira, R., Kovacik, L., Ni, D., and Stahlberg, H. (2020). New Insights on the Structure of Alpha-Synuclein Fibrils Using Cryo-Electron Microscopy. Curr. Opin. Neurobiol. 61, 89–95. doi:10.1016/j.conb.2020.01.014

PubMed Abstract | CrossRef Full Text | Google Scholar

Guerrero-Ferreira, R., Taylor, N. M., Mona, D., Ringler, P., Lauer, M. E., Riek, R., et al. (2018). Cryo-EM Structure of Alpha-Synuclein Fibrils. eLife 7, e36402. doi:10.7554/eLife.36402

PubMed Abstract | CrossRef Full Text | Google Scholar

Guilliams, T., El-Turk, F., Buell, A. K., O'Day, E. M., Aprile, F. A., Esbjörner, E. K., et al. (2013). Nanobodies Raised against Monomeric α-Synuclein Distinguish between Fibrils at Different Maturation Stages. J. Mol. Biol. 425, 2397–2411. doi:10.1016/j.jmb.2013.01.040

PubMed Abstract | CrossRef Full Text | Google Scholar

Gunnoo, S. B., and Madder, A. (2016). Chemical Protein Modification through Cysteine. ChemBioChem 17, 529–553. doi:10.1002/cbic.201500667

PubMed Abstract | CrossRef Full Text | Google Scholar

Hackenberger, C. P. R., and Schwarzer, D. (2008). Chemoselective Ligation and Modification Strategies for Peptides and Proteins. Angew. Chem. Int. Ed. 47, 10030–10074. doi:10.1002/anie.200801313

CrossRef Full Text | Google Scholar

Haj‐Yahya, M., Gopinath, P., Rajasekhar, K., Mirbaha, H., Diamond, M. I., and Lashuel, H. A. (2020). Site‐Specific Hyperphosphorylation Inhibits, rather Than Promotes, Tau Fibrillization, Seeding Capacity, and its Microtubule Binding. Angew. Chem. Int. Ed. 59, 4059–4067. doi:10.1002/anie.201913001

CrossRef Full Text | Google Scholar

Haj-Yahya, M., Fauvet, B., Herman-Bachinsky, Y., Hejjaoui, M., Bavikar, S. N., Karthikeyan, S. V., et al. (2013). Synthetic Polyubiquitinated α-Synuclein Reveals Important Insights into the Roles of the Ubiquitin Chain in Regulating its Pathophysiology. Proc. Natl. Acad. Sci. U.S.A. 110, 17726–17731. doi:10.1073/pnas.1315654110

PubMed Abstract | CrossRef Full Text | Google Scholar

Haj-Yahya, M., and Lashuel, H. A. (2018). Protein Semisynthesis Provides Access to Tau Disease-Associated Post-translational Modifications (PTMs) and Paves the Way to Deciphering the Tau PTM Code in Health and Diseased States. J. Am. Chem. Soc. 140, 6611–6621. doi:10.1021/jacs.8b02668

PubMed Abstract | CrossRef Full Text | Google Scholar

Hallegger, M., Chakrabarti, A. M., Lee, F. C. Y., Lee, B. L., Amalietti, A. G., Odeh, H. M., et al. (2021). TDP-43 Condensation Properties Specify its RNA-Binding and Regulatory Repertoire. Cell 184, 4680–4696. e22. doi:10.1016/j.cell.2021.07.018

PubMed Abstract | CrossRef Full Text | Google Scholar

Haltiwanger, R. S., Grove, K., and Philipsberg, G. A. (1998). Modulation of O-LinkedN-Acetylglucosamine Levels on Nuclear and Cytoplasmic Proteins In Vivo Using the PeptideO-GlcNAc-β-N-Acetylglucosaminidase InhibitorO-(2-Acetamido-2-Deoxy-Dglucopyranosylidene)amino-N-Phenylcarbamate. J. Biol. Chem. 273, 3611–3617. doi:10.1074/jbc.273.6.3611

PubMed Abstract | CrossRef Full Text | Google Scholar

Hamdane, M., Smet, C., Sambo, A.-V., Leroy, A., Wieruszeski, J.-M., Delobel, P., et al. (2002). Pin1 : A Therapeutic Target in Alzheimer Neurodegeneration. Jmn 19, 275–288. doi:10.1385/JMN:19:3:275

CrossRef Full Text | Google Scholar

Haney, C. M., Cleveland, C. L., Wissner, R. F., Owei, L., Robustelli, J., Daniels, M. J., et al. (2017). Site-Specific Fluorescence Polarization for Studying the Disaggregation of α-Synuclein Fibrils by Small Molecules. Biochemistry 56, 683–691. doi:10.1021/acs.biochem.6b01060

PubMed Abstract | CrossRef Full Text | Google Scholar

Haney, C. M., Wissner, R. F., Warner, J. B., Wang, Y. J., Ferrie, J. J., J. Covell, D., et al. (2016). Comparison of Strategies for Non-perturbing Labeling of α-synuclein to Study Amyloidogenesis. Org. Biomol. Chem. 14, 1584–1592. doi:10.1039/C5OB02329G

PubMed Abstract | CrossRef Full Text | Google Scholar

Hanger, D. P., Betts, J. C., Loviny, T. L., Blackstock, W. P., and Anderton, B. H. (1998). New Phosphorylation Sites Identified in Hyperphosphorylated Tau (Paired Helical Filament-Tau) from Alzheimer's Disease Brain Using Nanoelectrospray Mass Spectrometry. J. Neurochem. 71, 2465–2476. doi:10.1046/j.1471-4159.1998.71062465.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Hanger, D. P., Anderton, B. H., and Noble, W. (2009). Tau Phosphorylation: the Therapeutic Challenge for Neurodegenerative Disease. Trends Mol. Med. 15, 112–119. doi:10.1016/j.molmed.2009.01.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Hanger, D. P., Byers, H. L., Wray, S., Leung, K.-Y., Saxton, M. J., Seereeram, A., et al. (2007). Novel Phosphorylation Sites in Tau from Alzheimer Brain Support a Role for Casein Kinase 1 in Disease Pathogenesis. J. Biol. Chem. 282, 23645–23654. doi:10.1074/jbc.M703269200

PubMed Abstract | CrossRef Full Text | Google Scholar

Hastings, N. B., Wang, X., Song, L., Butts, B. D., Grotz, D., Hargreaves, R., et al. (2017). Inhibition of O-GlcNAcase Leads to Elevation of O-GlcNAc Tau and Reduction of Tauopathy and Cerebrospinal Fluid Tau in rTg4510 Mice. Mol. Neurodegener. 12, 39. doi:10.1186/s13024-017-0181-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Hejjaoui, M., Butterfield, S., Fauvet, B., Vercruysse, F., Cui, J., Dikiy, I., et al. (2012). Elucidating the Role of C-Terminal Post-Translational Modifications Using Protein Semisynthesis Strategies: α-Synuclein Phosphorylation at Tyrosine 125. J. Am. Chem. Soc. 134, 5196–5210. doi:10.1021/ja210866j

PubMed Abstract | CrossRef Full Text | Google Scholar

Hejjaoui, M., Haj-Yahya, M., Kumar, K. S. A., Brik, A., and Lashuel, H. A. (2011). Towards Elucidation of the Role of Ubiquitination in the Pathogenesis of Parkinson's Disease with Semisynthetic Ubiquitinated α-Synuclein. Angew. Chem. Int. Ed. 50, 405–409. doi:10.1002/anie.201005546

PubMed Abstract | CrossRef Full Text | Google Scholar

Hemantha, H. P., Bavikar, S. N., Herman-Bachinsky, Y., Haj-Yahya, N., Bondalapati, S., Ciechanover, A., et al. (2014). Nonenzymatic Polyubiquitination of Expressed Proteins. J. Am. Chem. Soc. 136, 2665–2673. doi:10.1021/ja412594d

PubMed Abstract | CrossRef Full Text | Google Scholar

Herling, T. W., Garcia, G. A., Michaels, T. C. T., Grentz, W., Dean, J., Shimanovich, U., et al. (2015). Force Generation by the Growth of Amyloid Aggregates. Proc. Natl. Acad. Sci. U.S.A. 112, 9524–9529. doi:10.1073/pnas.1417326112

PubMed Abstract | CrossRef Full Text | Google Scholar

Hernández-Vega, A., Braun, M., Scharrel, L., Jahnel, M., Wegmann, S., Hyman, B. T., et al. (2017). Local Nucleation of Microtubule Bundles through Tubulin Concentration into a Condensed Tau Phase. Cell Rep. 20, 2304–2312. doi:10.1016/j.celrep.2017.08.042

PubMed Abstract | CrossRef Full Text | Google Scholar

Holliger, P., and Hudson, P. J. (2005). Engineered Antibody Fragments and the Rise of Single Domains. Nat. Biotechnol. 23, 1126–1136. doi:10.1038/nbt1142

PubMed Abstract | CrossRef Full Text | Google Scholar

Howie, A. J., and Brewer, D. B. (2009). Optical Properties of Amyloid Stained by Congo Red: History and Mechanisms. Micron 40, 285–301. doi:10.1016/j.micron.2008.10.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Hu, R., Li, S., Zeng, Y., Chen, J., Wang, S., Li, Y., et al. (2011). Understanding the Aggregation Induced Emission Enhancement for a Compound with Excited State Intramolecular Proton Transfer Character. Phys. Chem. Chem. Phys. 13, 2044–2051. doi:10.1039/C0CP01181A

PubMed Abstract | CrossRef Full Text | Google Scholar

Hu, Z.-W., Vugmeyster, L., Au, D. F., Ostrovsky, D., Sun, Y., and Qiang, W. (2019). Molecular Structure of an N-Terminal Phosphorylated β-amyloid Fibril. Proc. Natl. Acad. Sci. U.S.A. 116, 11253–11258. doi:10.1073/pnas.1818530116

PubMed Abstract | CrossRef Full Text | Google Scholar

Huang, R., Holbert, M. A., Tarrant, M. K., Curtet, S., Colquhoun, D. R., Dancy, B. M., et al. (2010). Site-Specific Introduction of an Acetyl-Lysine Mimic into Peptides and Proteins by Cysteine Alkylation. J. Am. Chem. Soc. 132, 9986–9987. doi:10.1021/ja103954u

PubMed Abstract | CrossRef Full Text | Google Scholar

Ilie, I. M., and Caflisch, A. (2019). Simulation Studies of Amyloidogenic Polypeptides and Their Aggregates. Chem. Rev. 119, 6956–6993. doi:10.1021/acs.chemrev.8b00731

PubMed Abstract | CrossRef Full Text | Google Scholar

Ishiguro, A., Lu, J., Ozawa, D., Nagai, Y., and Ishihama, A. (2021). ALS-linked FUS Mutations Dysregulate G-quadruplex-dependent Liquid-Liquid Phase Separation and Liquid-To-Solid Transition. J. Biol. Chem. 297, 101284. doi:10.1016/j.jbc.2021.101284

PubMed Abstract | CrossRef Full Text | Google Scholar

Isono, T. (2011). O-GlcNAc-specific Antibody CTD110.6 Cross-Reacts with N-GlcNAc2-Modified Proteins Induced under Glucose Deprivation. PLoS ONE 6, e18959. doi:10.1371/journal.pone.0018959

PubMed Abstract | CrossRef Full Text | Google Scholar

Iyer, S. P. N., and Hart, G. W. (2003). Dynamic Nuclear and Cytoplasmic Glycosylation: Enzymes of O-GlcNAc Cycling. Biochemistry 42, 2493–2499. doi:10.1021/bi020685a

PubMed Abstract | CrossRef Full Text | Google Scholar

Jeganathan, S., Chinnathambi, S., Mandelkow, E.-M., and Mandelkow, E. (2012). Conformations of Microtubule-Associated Protein Tau Mapped by Fluorescence Resonance Energy Transfer. Methods Mol. Biol. 849, 85–99. doi:10.1007/978-1-61779-551-0_7

PubMed Abstract | CrossRef Full Text | Google Scholar

Jeganathan, S., von Bergen, M., Brutlach, H., Steinhoff, H.-J., and Mandelkow, E. (2006). Global Hairpin Folding of Tau in Solution. Biochemistry 45, 2283–2293. doi:10.1021/bi0521543

PubMed Abstract | CrossRef Full Text | Google Scholar

Jia, B., Wu, Y., and Zhou, Y. (2014). 14-3-3 and Aggresome Formation: Implications in Neurodegenerative Diseases. Prion 8, 173–177. doi:10.4161/pri.28123

PubMed Abstract | CrossRef Full Text | Google Scholar

Jiji, A. C., Shine, A., and Vijayan, V. (2016). Direct Observation of Aggregation-Induced Backbone Conformational Changes in Tau Peptides. Angew. Chem. Int. Ed. 55, 11562–11566. doi:10.1002/anie.201606544

PubMed Abstract | CrossRef Full Text | Google Scholar

Johnson, K. A., Schultz, A., Betensky, R. A., Becker, J. A., Sepulcre, J., Rentz, D., et al. (2016). Tau Positron Emission Tomographic Imaging in Aging and Early Alzheimer Disease. Ann. Neurol. 79, 110–119. doi:10.1002/ana.24546

PubMed Abstract | CrossRef Full Text | Google Scholar

Jones, L. H. (2020). Dehydroamino Acid Chemical Biology: an Example of Functional Group Interconversion on Proteins. RSC Chem. Biol. 1, 298–304. doi:10.1039/D0CB00174K

PubMed Abstract | CrossRef Full Text | Google Scholar

Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., et al. (2021). Highly Accurate Protein Structure Prediction with AlphaFold. Nature 596, 583–589. doi:10.1038/s41586-021-03819-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Jun, J. V., Haney, C. M., Karpowicz, R. J., Giannakoulias, S., Lee, V. M.-Y., Petersson, E. J., et al. (2019). A “Clickable” Photoconvertible Small Fluorescent Molecule as a Minimalist Probe for Tracking Individual Biomolecule Complexes. J. Am. Chem. Soc. 141, 1893–1897. doi:10.1021/jacs.8b13094

PubMed Abstract | CrossRef Full Text | Google Scholar

Jung, K. H., Kim, S. F., Liu, Y., and Zhang, X. (2019). A Fluorogenic AggTag Method Based on Halo‐ and SNAP‐Tags to Simultaneously Detect Aggregation of Two Proteins in Live Cells. ChemBioChem 20, 1078–1087. doi:10.1002/cbic.201800782

PubMed Abstract | CrossRef Full Text | Google Scholar

Jung, T., Shin, B., Tamo, G., Kim, H., Vijayvargia, R., Leitner, A., et al. (2020). The Polyglutamine Expansion at the N-Terminal of Huntingtin Protein Modulates the Dynamic Configuration and Phosphorylation of the C-Terminal HEAT Domain. Structure 28, 1035–1050. e8. doi:10.1016/j.str.2020.06.008

PubMed Abstract | CrossRef Full Text | Google Scholar

Kamah, A., Cantrelle, F. X., Huvent, I., Giustiniani, J., Guillemeau, K., Byrne, C., et al. (2016). Isomerization and Oligomerization of Truncated and Mutated Tau Forms by FKBP52 Are Independent Processes. J. Mol. Biol. 428, 1080–1090. doi:10.1016/j.jmb.2016.02.015

PubMed Abstract | CrossRef Full Text | Google Scholar

Kamah, A., Huvent, I., Cantrelle, F.-X., Qi, H., Lippens, G., Landrieu, I., et al. (2014). Nuclear Magnetic Resonance Analysis of the Acetylation Pattern of the Neuronal Tau Protein. Biochemistry 53, 3020–3032. doi:10.1021/bi500006v

PubMed Abstract | CrossRef Full Text | Google Scholar

Kametani, F., Yoshida, M., Matsubara, T., Murayama, S., Saito, Y., Kawakami, I., et al. (2020). Comparison of Common and Disease-specific Post-translational Modifications of Pathological Tau Associated with a Wide Range of Tauopathies. Front. Neurosci. 14, 581936. doi:10.3389/fnins.2020.581936

PubMed Abstract | CrossRef Full Text | Google Scholar

Kanaan, N. M., Hamel, C., Grabinski, T., and Combs, B. (2020). Liquid-liquid Phase Separation Induces Pathogenic Tau Conformations In Vitro. Nat. Commun. 11, 2809. doi:10.1038/s41467-020-16580-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Kawasaki, R., and Tate, S.-i. (2020). Impact of the Hereditary P301L Mutation on the Correlated Conformational Dynamics of Human Tau Protein Revealed by the Paramagnetic Relaxation Enhancement NMR Experiments. IJMS 21, 3920. doi:10.3390/ijms21113920

PubMed Abstract | CrossRef Full Text | Google Scholar

Ke, P. C., Zhou, R., Serpell, L. C., Riek, R., Knowles, T. P. J., Lashuel, H. A., et al. (2020). Half a Century of Amyloids: Past, Present and Future. Chem. Soc. Rev. 49, 5473–5509. doi:10.1039/C9CS00199A

PubMed Abstract | CrossRef Full Text | Google Scholar

Keppler, A., Gendreizig, S., Gronemeyer, T., Pick, H., Vogel, H., and Johnsson, K. (2003). A General Method for the Covalent Labeling of Fusion Proteins with Small Molecules In Vivo. Nat. Biotechnol. 21, 86–89. doi:10.1038/nbt765

PubMed Abstract | CrossRef Full Text | Google Scholar

Khidekel, N., Arndt, S., Lamarre-Vincent, N., Lippert, A., Poulin-Kerstien, K. G., Ramakrishnan, B., et al. (2003). A Chemoenzymatic Approach toward the Rapid and Sensitive Detection of O-GlcNAc Posttranslational Modifications. J. Am. Chem. Soc. 125, 16162–16163. doi:10.1021/ja038545r

PubMed Abstract | CrossRef Full Text | Google Scholar

Kidd, M. (1963). Paired Helical Filaments in Electron Microscopy of Alzheimer's Disease. Nature 197, 192–193. doi:10.1038/197192b0

PubMed Abstract | CrossRef Full Text | Google Scholar

Kimura, T., Ono, T., Takamatsu, J., Yamamoto, H., Ikegami, K., Kondo, A., et al. (1996). Sequential Changes of Tau-site-specific Phosphorylation during Development of Paired Helical Filaments. Dement. Geriatr. Cogn. Disord. 7, 177–181. doi:10.1159/000106875

PubMed Abstract | CrossRef Full Text | Google Scholar

Kjaergaard, M., Dear, A. J., Kundel, F., Qamar, S., Meisl, G., Knowles, T. P. J., et al. (2018). Oligomer Diversity during the Aggregation of the Repeat Region of Tau. ACS Chem. Neurosci. 9, 3060–3071. doi:10.1021/acschemneuro.8b00250

PubMed Abstract | CrossRef Full Text | Google Scholar

Klingstedt, T., Åslund, A., Simon, R. A., Johansson, L. B. G., Mason, J. J., Nyström, S., et al. (2011). Synthesis of a Library of Oligothiophenes and Their Utilization as Fluorescent Ligands for Spectral Assignment of Protein Aggregates. Org. Biomol. Chem. 9, 8356. doi:10.1039/c1ob05637a

PubMed Abstract | CrossRef Full Text | Google Scholar

Klunk, W. E., Engler, H., Nordberg, A., Wang, Y., Blomqvist, G., Holt, D. P., et al. (2004). Imaging Brain Amyloid in Alzheimer's Disease with Pittsburgh Compound-B. Ann. Neurol. 55, 306–319. doi:10.1002/ana.20009

PubMed Abstract | CrossRef Full Text | Google Scholar

Knowles, T. P., Fitzpatrick, A. W., Meehan, S., Mott, H. R., Vendruscolo, M., Dobson, C. M., et al. (2007). Role of Intermolecular Forces in Defining Material Properties of Protein Nanofibrils. Science 318, 1900–1903. doi:10.1126/science.1150057

PubMed Abstract | CrossRef Full Text | Google Scholar

Knowles, T. P. J., and Buehler, M. J. (2011). Nanomechanics of Functional and Pathological Amyloid Materials. Nat. Nanotech 6, 469–479. doi:10.1038/nnano.2011.102

PubMed Abstract | CrossRef Full Text | Google Scholar

Knowles, T. P. J., Vendruscolo, M., and Dobson, C. M. (2014). The Amyloid State and its Association with Protein Misfolding Diseases. Nat. Rev. Mol. Cell Biol. 15, 384–396. doi:10.1038/nrm3810

PubMed Abstract | CrossRef Full Text | Google Scholar

Kolla, R., Gopinath, P., Ricci, J., Reif, A., Rostami, I., and Lashuel, H. A. (2021). A New Chemoenzymatic Semisynthetic Approach Provides Insight into the Role of Phosphorylation beyond Exon1 of Huntingtin and Reveals N-Terminal Fragment Length-dependent Distinct Mechanisms of Aggregation. J. Am. Chem. Soc. 143, 9798–9812. doi:10.1021/jacs.1c03108

PubMed Abstract | CrossRef Full Text | Google Scholar

Kollmer, M., Meinhardt, K., Haupt, C., Liberta, F., Wulff, M., Linder, J., et al. (2016). Electron Tomography Reveals the Fibril Structure and Lipid Interactions in Amyloid Deposits. Proc. Natl. Acad. Sci. U.S.A. 113, 5604–5609. doi:10.1073/pnas.1523496113

PubMed Abstract | CrossRef Full Text | Google Scholar

Kondo, A., Albayram, O., Zhou, X. Z., and Lu, K. P. (2017). Pin1 Knockout Mice: A Model for the Study of Tau Pathology in Alzheimer's Disease. Methods Mol. Biol. 1523, 415–425. doi:10.1007/978-1-4939-6598-4_28

PubMed Abstract | CrossRef Full Text | Google Scholar

Könning, D., Zielonka, S., Grzeschik, J., Empting, M., Valldorf, B., Krah, S., et al. (2017). Camelid and Shark Single Domain Antibodies: Structural Features and Therapeutic Potential. Curr. Opin. Struct. Biol. 45, 10–16. doi:10.1016/j.sbi.2016.10.019

PubMed Abstract | CrossRef Full Text | Google Scholar

Krebs, M. R. H., Bromley, E. H. C., and Donald, A. M. (2005). The Binding of Thioflavin-T to Amyloid Fibrils: Localisation and Implications. J. Struct. Biol. 149, 30–37. doi:10.1016/j.jsb.2004.08.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Kuang, G., Murugan, N. A., Zhou, Y., Nordberg, A., and Ågren, H. (2020). Computational Insight into the Binding Profile of the Second-Generation PET Tracer PI2620 with Tau Fibrils. ACS Chem. Neurosci. 11, 900–908. doi:10.1021/acschemneuro.9b00578

PubMed Abstract | CrossRef Full Text | Google Scholar

Kucherak, O. A., Shvadchak, V. V., Kyriukha, Y. A., and Yushchenko, D. A. (20182018). Synthesis of a Fluorescent Probe for Sensing Multiple Protein States. Eur. J. Org. Chem. 2018, 5155–5162. doi:10.1002/ejoc.201800524

CrossRef Full Text | Google Scholar

Kumar, M., Hong, Y., Thorn, D. C., Ecroyd, H., and Carver, J. A. (2017). Monitoring Early-Stage Protein Aggregation by an Aggregation-Induced Emission Fluorogen. Anal. Chem. 89, 9322–9329. doi:10.1021/acs.analchem.7b02090

PubMed Abstract | CrossRef Full Text | Google Scholar

Kumar, S., Rezaei-Ghaleh, N., Terwel, D., Thal, D. R., Richard, M., Hoch, M., et al. (2011). Extracellular Phosphorylation of the Amyloid β-peptide Promotes Formation of Toxic Aggregates during the Pathogenesis of Alzheimer's Disease. EMBO J. 30, 2255–2265. doi:10.1038/emboj.2011.138

PubMed Abstract | CrossRef Full Text | Google Scholar

Kundel, F., De, S., Flagmeier, P., Horrocks, M. H., Kjaergaard, M., Shammas, S. L., et al. (2018). Hsp70 Inhibits the Nucleation and Elongation of Tau and Sequesters Tau Aggregates with High Affinity. ACS Chem. Biol. 13, 636–646. doi:10.1021/acschembio.7b01039

PubMed Abstract | CrossRef Full Text | Google Scholar

Kundel, F., Hong, L., Falcon, B., McEwan, W. A., Michaels, T. C. T., Meisl, G., et al. (2018). Measurement of Tau Filament Fragmentation Provides Insights into Prion-like Spreading. ACS Chem. Neurosci. 9, 1276–1282. doi:10.1021/acschemneuro.8b00094

PubMed Abstract | CrossRef Full Text | Google Scholar

Kurzbach, D., Vanas, A., Flamm, A. G., Tarnoczi, N., Kontaxis, G., Maltar-Strmečki, N., et al. (2016). Detection of Correlated Conformational Fluctuations in Intrinsically Disordered Proteins through Paramagnetic Relaxation Interference. Phys. Chem. Chem. Phys. 18, 5753–5758. doi:10.1039/C5CP04858C

PubMed Abstract | CrossRef Full Text | Google Scholar

Landrieu, I., Lacosse, L., Leroy, A., Wieruszeski, J.-M., Trivelli, X., Sillen, A., et al. (2006). NMR Analysis of a Tau Phosphorylation Pattern. J. Am. Chem. Soc. 128, 3575–3583. doi:10.1021/ja054656+

PubMed Abstract | CrossRef Full Text | Google Scholar

Landrieu, I., Leroy, A., Smet-Nocca, C., Huvent, I., Amniai, L., Hamdane, M., et al. (2010). NMR Spectroscopy of the Neuronal Tau Protein: Normal Function and Implication in Alzheimer's Disease. Biochem. Soc. Trans. 38, 1006–1011. doi:10.1042/BST0381006

PubMed Abstract | CrossRef Full Text | Google Scholar

Landrieu, I., Smet, C., Wieruszeski, J., Sambo, A., Wintjens, R., Buee, L., et al. (2006). Exploring the Molecular Function of PIN1 by Nuclear Magnetic Resonance. Cpps 7, 179–194. doi:10.2174/138920306777452303

PubMed Abstract | CrossRef Full Text | Google Scholar

Landrieu, I., Smet-Nocca, C., Amniai, L., Louis, J. V., Wieruszeski, J.-M., Goris, J., et al. (2011). Molecular Implication of PP2A and Pin1 in the Alzheimer's Disease Specific Hyperphosphorylation of Tau. PLoS ONE 6, e21521. doi:10.1371/journal.pone.0021521

PubMed Abstract | CrossRef Full Text | Google Scholar

Larda, S. T., Simonetti, K., Al-Abdul-Wahid, M. S., Sharpe, S., and Prosser, R. S. (2013). Dynamic Equilibria between Monomeric and Oligomeric Misfolded States of the Mammalian Prion Protein Measured by 19F NMR. J. Am. Chem. Soc. 135, 10533–10541. doi:10.1021/ja404584s

PubMed Abstract | CrossRef Full Text | Google Scholar

Lazarus, B. D., Love, D. C., and Hanover, J. A. (2009). O-GlcNAc Cycling: Implications for Neurodegenerative Disorders. Int. J. Biochem. Cell Biol. 41, 2134–2146. doi:10.1016/j.biocel.2009.03.008

PubMed Abstract | CrossRef Full Text | Google Scholar

Le, D. D., Cortesi, A. T., Myers, S. A., Burlingame, A. L., and Fujimori, D. G. (2013). Site-Specific and Regiospecific Installation of Methylarginine Analogues into Recombinant Histones and Insights into Effector Protein Binding. J. Am. Chem. Soc. 135, 2879–2882. doi:10.1021/ja3108214

PubMed Abstract | CrossRef Full Text | Google Scholar

Lee, B. E., Kim, H. Y., Kim, H.-J., Jeong, H., Kim, B.-G., Lee, H.-E., et al. (2020). O-GlcNAcylation Regulates Dopamine Neuron Function, Survival and Degeneration in Parkinson Disease. Brain 143, 3699–3716. doi:10.1093/brain/awaa320

PubMed Abstract | CrossRef Full Text | Google Scholar

Lee, B. E., Suh, P.-G., and Kim, J.-I. (2021). O-GlcNAcylation in Health and Neurodegenerative Diseases. Exp. Mol. Med. 53, 1674–1682. doi:10.1038/s12276-021-00709-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Lemoine, L., Gillberg, P.-G., Svedberg, M., Stepanov, V., Jia, Z., Huang, J., et al. (2017). Comparative Binding Properties of the Tau PET Tracers THK5117, THK5351, PBB3, and T807 in Postmortem Alzheimer Brains. Alz Res. Ther. 9, 96. doi:10.1186/s13195-017-0325-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Leroy, A., Landrieu, I., Huvent, I., Legrand, D., Codeville, B., Wieruszeski, J.-M., et al. (2010). Spectroscopic Studies of GSK3β Phosphorylation of the Neuronal Tau Protein and its Interaction with the N-Terminal Domain of Apolipoprotein E. J. Biol. Chem. 285, 33435–33444. doi:10.1074/jbc.M110.149419

PubMed Abstract | CrossRef Full Text | Google Scholar

Leuzy, A., Chiotis, K., Lemoine, L., Gillberg, P.-G., Almkvist, O., Rodriguez-Vieitez, E., et al. (2019). Tau PET Imaging in Neurodegenerative Tauopathies-Still a Challenge. Mol. Psychiatry 24, 1112–1134. doi:10.1038/s41380-018-0342-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Levine, P. M., Galesic, A., Balana, A. T., Mahul-Mellier, A.-L., Navarro, M. X., De Leon, C. A., et al. (2019). α-Synuclein O-GlcNAcylation Alters Aggregation and Toxicity, Revealing Certain Residues as Potential Inhibitors of Parkinson's Disease. Proc. Natl. Acad. Sci. U.S.A. 116, 1511–1519. doi:10.1073/pnas.1808845116

PubMed Abstract | CrossRef Full Text | Google Scholar

Levone, B. R., Lenzken, S. C., Antonaci, M., Maiser, A., Rapp, A., Conte, F., et al. (2021). FUS-dependent Liquid-Liquid Phase Separation Is Important for DNA Repair Initiation. J. Cell Biol. 220, e202008030. doi:10.1083/jcb.202008030

PubMed Abstract | CrossRef Full Text | Google Scholar

Lewis, Y. E., Abeywardana, T., Lin, Y. H., Galesic, A., and Pratt, M. R. (2016). Synthesis of a Bis-Thio-Acetone (BTA) Analogue of the Lysine Isopeptide Bond and its Application to Investigate the Effects of Ubiquitination and SUMOylation on α-Synuclein Aggregation and Toxicity. ACS Chem. Biol. 11, 931–942. doi:10.1021/acschembio.5b01042

PubMed Abstract | CrossRef Full Text | Google Scholar

Lewis, Y. E., Galesic, A., Levine, P. M., De Leon, C. A., Lamiri, N., Brennan, C. K., et al. (2017). O-GlcNAcylation of α-Synuclein at Serine 87 Reduces Aggregation without Affecting Membrane Binding. ACS Chem. Biol. 12, 1020–1027. doi:10.1021/acschembio.7b00113

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, B., Ge, P., Murray, K. A., Sheth, P., Zhang, M., Nair, G., et al. (2018). Cryo-EM of Full-Length α-synuclein Reveals Fibril Polymorphs with a Common Structural Kernel. Nat. Commun. 9, 3609. doi:10.1038/s41467-018-05971-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, C., Lutz, E. A., Slade, K. M., Ruf, R. A. S., Wang, G.-F., and Pielak, G. J. (2009). 19F NMR Studies of α-Synuclein Conformation and Fibrillation. Biochemistry 48, 8578–8584. doi:10.1021/bi900872p

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, D., and Liu, C. (2021). Hierarchical Chemical Determination of Amyloid Polymorphs in Neurodegenerative Disease. Nat. Chem. Biol. 17, 237–245. doi:10.1038/s41589-020-00708-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, H.-R., Chiang, W.-C., Chou, P.-C., Wang, W.-J., and Huang, J.-r. (2018). TAR DNA-Binding Protein 43 (TDP-43) Liquid-Liquid Phase Separation Is Mediated by Just a Few Aromatic Residues. J. Biol. Chem. 293, 6090–6098. doi:10.1074/jbc.AC117.001037

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, J., Zhang, Y., Soubias, O., Khago, D., Chao, F.-a., Li, Y., et al. (2020). Optimization of Sortase A Ligation for Flexible Engineering of Complex Protein Systems. J. Biol. Chem. 295, 2664–2675. doi:10.1074/jbc.RA119.012039

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, Q.-Q., Liu, Y.-Q., Luo, Y.-Y., Chu, T.-T., Gao, N., Chen, P.-G., et al. (2020). Uncovering the Pathological Functions of Ser404 Phosphorylation by Semisynthesis of a Phosphorylated TDP-43 Prion-like Domain. Chem. Commun. 56, 5370–5373. doi:10.1039/D0CC01409E

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, T., Vandesquille, M., Koukouli, F., Dudeffant, C., Youssef, I., Lenormand, P., et al. (2016). Camelid Single-Domain Antibodies: A Versatile Tool for In Vivo Imaging of Extracellular and Intracellular Brain Targets. J. Control. Release 243, 1–10. doi:10.1016/j.jconrel.2016.09.019

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, Y., Zhao, C., Luo, F., Liu, Z., Gui, X., Luo, Z., et al. (2018). Amyloid Fibril Structure of α-synuclein Determined by Cryo-Electron Microscopy. Cell Res. 28, 897–903. doi:10.1038/s41422-018-0075-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Lim, J., and Ping Lu, K. (2005). Pinning Down Phosphorylated Tau and Tauopathies. Biochimica Biophysica Acta (BBA) - Mol. Basis Dis. 1739, 311–322. doi:10.1016/j.bbadis.2004.10.003

CrossRef Full Text | Google Scholar

Limbocker, R., Mannini, B., Cataldi, R., Chhangur, S., Wright, A. K., Kreiser, R. P., et al. (2020). Rationally Designed Antibodies as Research Tools to Study the Structure-Toxicity Relationship of Amyloid-β Oligomers. IJMS 21, 4542. doi:10.3390/ijms21124542

PubMed Abstract | CrossRef Full Text | Google Scholar

Lindstedt, P. R., Taylor, R. J., Bernardes, G. J. L., and Vendruscolo, M. (2021). Facile Installation of Post-translational Modifications on the Tau Protein via Chemical Mutagenesis. ACS Chem. Neurosci. 12, 557–561. doi:10.1021/acschemneuro.0c00761

PubMed Abstract | CrossRef Full Text | Google Scholar

Lippens, G., and Gigant, B. (2019). Elucidating Tau Function and Dysfunction in the Era of Cryo-EM. J. Biol. Chem. 294, 9316–9325. doi:10.1074/jbc.REV119.008031

PubMed Abstract | CrossRef Full Text | Google Scholar

Lippens, G., Landrieu, I., Smet, C., Huvent, I., Gandhi, N., Gigant, B., et al. (2016). NMR Meets Tau: Insights into its Function and Pathology. Biomolecules 6, 28. doi:10.3390/biom6020028

PubMed Abstract | CrossRef Full Text | Google Scholar

Lippens, G., Landrieu, I., and Smet, C. (2007). Molecular Mechanisms of the Phospho-dependent Prolyl Cis/trans Isomerase Pin1. Febs J. 274, 5211–5222. doi:10.1111/j.1742-4658.2007.06057.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, D., Wei, Q., Xia, W., He, C., Zhang, Q., Huang, L., et al. (2021). O-glycosylation Induces Amyloid-β to Form New Fibril Polymorphs Vulnerable for Degradation. J. Am. Chem. Soc. 143, 20216–20223. doi:10.1021/jacs.1c08607

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, F., Iqbal, K., Grundke-Iqbal, I., Hart, G. W., and Gong, C.-X. (2004). O-GlcNAcylation Regulates Phosphorylation of Tau: A Mechanism Involved in Alzheimer's Disease. Proc. Natl. Acad. Sci. U.S.A. 101, 10804–10809. doi:10.1073/pnas.0400348101

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, F., Li, B., Tung, E.-J., Grundke-Iqbal, I., Iqbal, K., and Gong, C.-X. (2007). Site-specific Effects of Tau Phosphorylation on its Microtubule Assembly Activity and Self-Aggregation. Eur. J. Neurosci. 26, 3429–3436. doi:10.1111/j.1460-9568.2007.05955.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, F., Shi, J., Tanimukai, H., Gu, J., Gu, J., Grundke-Iqbal, I., et al. (2009). Reduced O-GlcNAcylation Links Lower Brain Glucose Metabolism and Tau Pathology in Alzheimer's Disease. Brain 132, 1820–1832. doi:10.1093/brain/awp099

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, Y., Wolstenholme, C. H., Carter, G. C., Liu, H., Hu, H., Grainger, L. S., et al. (2018). Modulation of Fluorescent Protein Chromophores to Detect Protein Aggregation with Turn-On Fluorescence. J. Am. Chem. Soc. 140, 7381–7384. doi:10.1021/jacs.8b02176

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, Z., Jiang, Z., Yan, M., and Wang, X. (2019). Recent Progress of BODIPY Dyes with Aggregation-Induced Emission. Front. Chem. 7, 712. doi:10.3389/fchem.2019.00712

PubMed Abstract | CrossRef Full Text | Google Scholar

Lövestam, S., Koh, F. A., van Knippenberg, B., Kotecha, A., Murzin, A. G., Goedert, M., et al. (2021). Assembly of Recombinant Tau into Filaments Identical to Those of Alzheimer's Disease and Chronic Traumatic Encephalopathy. Neuroscience. doi:10.1101/2021.12.16.472950

CrossRef Full Text | Google Scholar

Lowe, V. J., Curran, G., Fang, P., Liesinger, A. M., Josephs, K. A., Parisi, J. E., et al. (2016). An Autoradiographic Evaluation of AV-1451 Tau PET in Dementia. acta neuropathol. Commun. 4, 58. doi:10.1186/s40478-016-0315-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Lu, P.-J., Wulf, G., Zhou, X. Z., Davies, P., and Lu, K. P. (1999). The Prolyl Isomerase Pin1 Restores the Function of Alzheimer-Associated Phosphorylated Tau Protein. Nature 399, 784–788. doi:10.1038/21650

PubMed Abstract | CrossRef Full Text | Google Scholar

Luk, K. C., Kehm, V., Carroll, J., Zhang, B., O’Brien, P., Trojanowski, J. Q., et al. (2012). Pathological α-Synuclein Transmission Initiates Parkinson-like Neurodegeneration in Nontransgenic Mice. Science 338, 949–953. doi:10.1126/science.1227157

PubMed Abstract | CrossRef Full Text | Google Scholar

Lutz, B., and Peng, J. (2018). Deep Profiling of the Aggregated Proteome in Alzheimer's Disease: From Pathology to Disease Mechanisms. Proteomes 6, 46. doi:10.3390/proteomes6040046

PubMed Abstract | CrossRef Full Text | Google Scholar

Ma, M.-R., Hu, Z.-W., Zhao, Y.-F., Chen, Y.-X., and Li, Y.-M. (2016). Phosphorylation Induces Distinct Alpha-Synuclein Strain Formation. Sci. Rep. 6, 37130. doi:10.1038/srep37130

PubMed Abstract | CrossRef Full Text | Google Scholar

Ma, X., Li, H., He, Y., and Hao, J. (2017). The Emerging Link between O-GlcNAcylation and Neurological Disorders. Cell. Mol. Life Sci. 74, 3667–3686. doi:10.1007/s00018-017-2542-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Macauley, M. S., and Vocadlo, D. J. (2010). Increasing O-GlcNAc Levels: An Overview of Small-Molecule Inhibitors of O-GlcNAcase. Biochimica Biophysica Acta (BBA) - General Subj. 1800, 107–121. doi:10.1016/j.bbagen.2009.07.028

PubMed Abstract | CrossRef Full Text | Google Scholar

Macauley, M. S., Whitworth, G. E., Debowski, A. W., Chin, D., and Vocadlo, D. J. (2005). O-GlcNAcase Uses Substrate-Assisted Catalysis. J. Biol. Chem. 280, 25313–25322. doi:10.1074/jbc.M413819200

PubMed Abstract | CrossRef Full Text | Google Scholar

Magnusson, K., Simon, R., Sjölander, D., Sigurdson, C. J., Hammarström, P., and Nilsson, K. P. R. (2014). Multimodal Fluorescence Microscopy of Prion Strain Specific PrP Deposits Stained by Thiophene-Based Amyloid Ligands. Prion 8, 319–329. doi:10.4161/pri.29239

PubMed Abstract | CrossRef Full Text | Google Scholar

Majumdar, A., Dogra, P., Maity, S., and Mukhopadhyay, S. (2019). Liquid-Liquid Phase Separation Is Driven by Large-Scale Conformational Unwinding and Fluctuations of Intrinsically Disordered Protein Molecules. J. Phys. Chem. Lett. 10, 3929–3936. doi:10.1021/acs.jpclett.9b01731

PubMed Abstract | CrossRef Full Text | Google Scholar

Makin, O. S., Atkins, E., Sikorski, P., Johansson, J., and Serpell, L. C. (2005). Molecular Basis for Amyloid Fibril Formation and Stability. Proc. Natl. Acad. Sci. U.S.A. 102, 315–320. doi:10.1073/pnas.0406847102

PubMed Abstract | CrossRef Full Text | Google Scholar

Malhis, M., Kaniyappan, S., Aillaud, I., Chandupatla, R. R., Ramirez, L. M., Zweckstetter, M., et al. (2021). Potent Tau Aggregation Inhibitor D‐Peptides Selected against Tau‐Repeat 2 Using Mirror Image Phage Display. ChemBioChem 22, 3049–3059. doi:10.1002/cbic.202100287

PubMed Abstract | CrossRef Full Text | Google Scholar

Marotta, N. P., Lin, Y. H., Lewis, Y. E., Ambroso, M. R., Zaro, B. W., Roth, M. T., et al. (2015). O-GlcNAc Modification Blocks the Aggregation and Toxicity of the Protein α-synuclein Associated with Parkinson's Disease. Nat. Chem. 7, 913–920. doi:10.1038/nchem.2361

PubMed Abstract | CrossRef Full Text | Google Scholar

Martin, S. E. S., Tan, Z.-W., Itkonen, H. M., Duveau, D. Y., Paulo, J. A., Janetzko, J., et al. (2018). Structure-Based Evolution of Low Nanomolar O-GlcNAc Transferase Inhibitors. J. Am. Chem. Soc. 140, 13542–13545. doi:10.1021/jacs.8b07328

PubMed Abstract | CrossRef Full Text | Google Scholar

Mathis, C. A., Lopresti, B. J., Ikonomovic, M. D., and Klunk, W. E. (2017). Small-molecule PET Tracers for Imaging Proteinopathies. Seminars Nucl. Med. 47, 553–575. doi:10.1053/j.semnuclmed.2017.06.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Meier, F., Abeywardana, T., Dhall, A., Marotta, N. P., Varkey, J., Langen, R., et al. (2012). Semisynthetic, Site-specific Ubiquitin Modification of α-Synuclein Reveals Differential Effects on Aggregation. J. Am. Chem. Soc. 134, 5468–5471. doi:10.1021/ja300094r

PubMed Abstract | CrossRef Full Text | Google Scholar

Meisl, G., Yang, X., Hellstrand, E., Frohm, B., Kirkegaard, J. B., Cohen, S. I. A., et al. (2014). Differences in Nucleation Behavior Underlie the Contrasting Aggregation Kinetics of the Aβ40 and Aβ42 Peptides. Proc. Natl. Acad. Sci. U.S.A. 111, 9384–9389. doi:10.1073/pnas.1401564111

PubMed Abstract | CrossRef Full Text | Google Scholar

Messer, A., and Butler, D. C. (2020). Optimizing Intracellular Antibodies (Intrabodies/nanobodies) to Treat Neurodegenerative Disorders. Neurobiol. Dis. 134, 104619. doi:10.1016/j.nbd.2019.104619

PubMed Abstract | CrossRef Full Text | Google Scholar

Mimna, R., Camus, M.-S., Schmid, A., Tuchscherer, G., Lashuel, H. A., and Mutter, M. (2007). Disruption of Amyloid-Derived Peptide Assemblies through the Controlled Induction of a β-Sheet to α-Helix Transformation: Application of the Switch Concept. Angew. Chem. Int. Ed. 46, 2681–2684. doi:10.1002/anie.200603681

CrossRef Full Text | Google Scholar

Min, S.-W., Chen, X., Tracy, T. E., Li, Y., Zhou, Y., Wang, C., et al. (2015). Critical Role of Acetylation in Tau-Mediated Neurodegeneration and Cognitive Deficits. Nat. Med. 21, 1154–1162. doi:10.1038/nm.3951

PubMed Abstract | CrossRef Full Text | Google Scholar

Min, S.-W., Cho, S.-H., Zhou, Y., Schroeder, S., Haroutunian, V., Seeley, W. W., et al. (2010). Acetylation of Tau Inhibits its Degradation and Contributes to Tauopathy. Neuron 67, 953–966. doi:10.1016/j.neuron.2010.08.044

PubMed Abstract | CrossRef Full Text | Google Scholar

Mirbaha, H., Chen, D., Morazova, O. A., Ruff, K. M., Sharma, A. M., Liu, X., et al. (2018). Inert and Seed-Competent Tau Monomers Suggest Structural Origins of Aggregation. eLife 7, e36584. doi:10.7554/eLife.36584

PubMed Abstract | CrossRef Full Text | Google Scholar

Monahan, Z., Ryan, V. H., Janke, A. M., Burke, K. A., Rhoads, S. N., Zerze, G. H., et al. (2017). Phosphorylation of the FUS Low‐complexity Domain Disrupts Phase Separation, Aggregation, and Toxicity. EMBO J. 36, 2951–2967. doi:10.15252/embj.201696394

PubMed Abstract | CrossRef Full Text | Google Scholar

Moon, S. P., Balana, A. T., Galesic, A., Rakshit, A., and Pratt, M. R. (2020). Ubiquitination Can Change the Structure of the α-Synuclein Amyloid Fiber in a Site Selective Fashion. J. Org. Chem. 85, 1548–1555. doi:10.1021/acs.joc.9b02641

PubMed Abstract | CrossRef Full Text | Google Scholar

Moon, S. P., Balana, A. T., and Pratt, M. R. (2021). Consequences of Post-translational Modifications on Amyloid Proteins as Revealed by Protein Semisynthesis. Curr. Opin. Chem. Biol. 64, 76–89. doi:10.1016/j.cbpa.2021.05.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Moon, S. P., Javed, A., Hard, E. R., and Pratt, M. R. (2022). Methods for Studying Site-specific O-GlcNAc Modifications: Successes, Limitations, and Important Future Goals. JACS Au 2, 74–83. doi:10.1021/jacsau.1c00455

PubMed Abstract | CrossRef Full Text | Google Scholar

Morató, A., Elena-Real, C. A., Popovic, M., Fournet, A., Zhang, K., Allemand, F., et al. (2020). Robust Cell-free Expression of Sub-pathological and Pathological Huntingtin Exon-1 for NMR Studies. General Approaches for the Isotopic Labeling of Low-Complexity Proteins. Biomolecules 10, 1458. doi:10.3390/biom10101458

CrossRef Full Text | Google Scholar

Moreira, G. G., Cantrelle, F.-X., Quezada, A., Carvalho, F. S., Cristóvão, J. S., Sengupta, U., et al. (2021). Dynamic Interactions and Ca2+-Binding Modulate the Holdase-type Chaperone Activity of S100B Preventing Tau Aggregation and Seeding. Nat. Commun. 12, 6292. doi:10.1038/s41467-021-26584-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Morishima-Kawashima, M., Hasegawa, M., Takio, K., Suzuki, M., Yoshida, H., Titani, K., et al. (1995). Proline-directed and Non-proline-directed Phosphorylation of PHF-Tau. J. Biol. Chem. 270, 823–829. doi:10.1074/jbc.270.2.823

PubMed Abstract | CrossRef Full Text | Google Scholar

Morishima-Kawashima, M., Hasegawa, M., Takio, K., Suzuki, M., Yoshida, H., Watanabe, A., et al. (1995). Hyperphosphorylation of Tau in PHF. Neurobiol. Aging 16, 365–371. doi:10.1016/0197-4580(95)00027-c

PubMed Abstract | CrossRef Full Text | Google Scholar

Morris, M., Knudsen, G. M., Maeda, S., Trinidad, J. C., Ioanoviciu, A., Burlingame, A. L., et al. (2015). Tau Post-translational Modifications in Wild-type and Human Amyloid Precursor Protein Transgenic Mice. Nat. Neurosci. 18, 1183–1189. doi:10.1038/nn.4067

PubMed Abstract | CrossRef Full Text | Google Scholar

Morris, M., Maeda, S., Vossel, K., and Mucke, L. (2011). The Many Faces of Tau. Neuron 70, 410–426. doi:10.1016/j.neuron.2011.04.009

PubMed Abstract | CrossRef Full Text | Google Scholar

Mudher, A., Colin, M., Dujardin, S., Medina, M., Dewachter, I., Alavi Naini, S. M., et al. (2017). What Is the Evidence that Tau Pathology Spreads through Prion-like Propagation? Acta Neuropathol. Commun. 5, 99. doi:10.1186/s40478-017-0488-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Muir, T. W., and Kent, S. B. H. (1993). The Chemical Synthesis of Proteins. Curr. Opin. Biotechnol. 4, 420–427. doi:10.1016/0958-1669(93)90007-J

PubMed Abstract | CrossRef Full Text | Google Scholar

Munari, F., Barracchia, C. G., Franchin, C., Parolini, F., Capaldi, S., Romeo, A., et al. (2020). Semisynthetic and Enzyme‐Mediated Conjugate Preparations Illuminate the Ubiquitination‐Dependent Aggregation of Tau Protein. Angew. Chem. Int. Ed. 59, 6607–6611. doi:10.1002/anie.201916756

PubMed Abstract | CrossRef Full Text | Google Scholar

Murthy, A. C., Dignon, G. L., Kan, Y., Zerze, G. H., Parekh, S. H., Mittal, J., et al. (2019). Molecular Interactions Underlying Liquid−liquid Phase Separation of the FUS Low-Complexity Domain. Nat. Struct. Mol. Biol. 26, 637–648. doi:10.1038/s41594-019-0250-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Murugan, N. A., Halldin, C., Nordberg, A., Långström, B., and Ågren, H. (2016). The Culprit Is in the Cave: The Core Sites Explain the Binding Profiles of Amyloid-specific Tracers. J. Phys. Chem. Lett. 7, 3313–3321. doi:10.1021/acs.jpclett.6b01586

PubMed Abstract | CrossRef Full Text | Google Scholar

Murugan, N. A., Nordberg, A., and Ågren, H. (2021). Cryptic Sites in Tau Fibrils Explain the Preferential Binding of the AV-1451 PET Tracer toward Alzheimer's Tauopathy. ACS Chem. Neurosci. 12, 2437–2447. doi:10.1021/acschemneuro.0c00340

PubMed Abstract | CrossRef Full Text | Google Scholar

Murugan, N. A., Nordberg, A., and Ågren, H. (2018). Different Positron Emission Tomography Tau Tracers Bind to Multiple Binding Sites on the Tau Fibril: Insight from Computational Modeling. ACS Chem. Neurosci. 9, 1757–1767. doi:10.1021/acschemneuro.8b00093

PubMed Abstract | CrossRef Full Text | Google Scholar

Naiki, H., Higuchi, K., Hosokawa, M., and Takeda, T. (1989). Fluorometric Determination of Amyloid Fibrils In Vitro Using the Fluorescent Dye, Thioflavine T. Anal. Biochem. 177, 244–249. doi:10.1016/0003-2697(89)90046-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Nasica-Labouze, J., Nguyen, P. H., Sterpone, F., Berthoumieu, O., Buchete, N.-V., Coté, S., et al. (2015). Amyloid β Protein and Alzheimer's Disease: When Computer Simulations Complement Experimental Studies. Chem. Rev. 115, 3518–3563. doi:10.1021/cr500638n

PubMed Abstract | CrossRef Full Text | Google Scholar

Nedelsky, N. B., and Taylor, J. P. (2019). Bridging Biophysics and Neurology: Aberrant Phase Transitions in Neurodegenerative Disease. Nat. Rev. Neurol. 15, 272–286. doi:10.1038/s41582-019-0157-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Neves, J. F., Petrvalská, O., Bosica, F., Cantrelle, F. X., Merzougui, H., O'Mahony, G., et al. (2021). Phosphorylated Full‐length Tau Interacts with 14‐3‐3 Proteins via Two Short Phosphorylated Sequences, Each Occupying a Binding Groove of 14‐3‐3 Dimer. Febs J. 288, 1918–1934. doi:10.1111/febs.15574

PubMed Abstract | CrossRef Full Text | Google Scholar

Nguyen, P. H., Ramamoorthy, A., Sahoo, B. R., Zheng, J., Faller, P., Straub, J. E., et al. (2021). Amyloid Oligomers: A Joint Experimental/Computational Perspective on Alzheimer's Disease, Parkinson's Disease, Type II Diabetes, and Amyotrophic Lateral Sclerosis. Chem. Rev. 121, 2545–2647. doi:10.1021/acs.chemrev.0c01122

PubMed Abstract | CrossRef Full Text | Google Scholar

Ni, R., and Nitsch, R. M. (2022). Recent Developments in Positron Emission Tomography Tracers for Proteinopathies Imaging in Dementia. Front. Aging Neurosci. 13, 751897. doi:10.3389/fnagi.2021.751897

PubMed Abstract | CrossRef Full Text | Google Scholar

Nirmalraj, P. N., List, J., Battacharya, S., Howe, G., Xu, L., Thompson, D., et al. (2020). Complete Aggregation Pathway of Amyloid β (1-40) and (1-42) Resolved on an Atomically Clean Interface. Sci. Adv. 6, eaaz6014. doi:10.1126/sciadv.aaz6014

PubMed Abstract | CrossRef Full Text | Google Scholar

Nizynski, B., Nieznanska, H., Dec, R., Boyko, S., Dzwolak, W., and Nieznanski, K. (2018). Amyloidogenic Cross-Seeding of Tau Protein: Transient Emergence of Structural Variants of Fibrils. PLoS ONE 13, e0201182. doi:10.1371/journal.pone.0201182

PubMed Abstract | CrossRef Full Text | Google Scholar

Novak, M., Kabat, J., and Wischik, C. M. (1993). Molecular Characterization of the Minimal Protease Resistant Tau Unit of the Alzheimer's Disease Paired Helical Filament. EMBO J. 12, 365–370. doi:10.1002/j.1460-2075.1993.tb05665.x

PubMed Abstract | CrossRef Full Text | Google Scholar

O'Donnell, N., Zachara, N. E., Hart, G. W., and Marth, J. D. (2004). Ogt-dependent X-Chromosome-Linked Protein Glycosylation Is a Requisite Modification in Somatic Cell Function and Embryo Viability. Mol. Cell Biol. 24, 1680–1690. doi:10.1128/mcb.24.4.1680-1690.2004

PubMed Abstract | CrossRef Full Text | Google Scholar

Ojida, A., Sakamoto, T., Inoue, M.-a., Fujishima, S.-h., Lippens, G., and Hamachi, I. (2009). Fluorescent BODIPY-Based Zn(II) Complex as a Molecular Probe for Selective Detection of Neurofibrillary Tangles in the Brains of Alzheimer's Disease Patients. J. Am. Chem. Soc. 131, 6543–6548. doi:10.1021/ja9008369

PubMed Abstract | CrossRef Full Text | Google Scholar

Olivier-Van Stichelen, S., Wang, P., Comly, M., Love, D. C., and Hanover, J. A. (2017). Nutrient-driven O-Linked N-Acetylglucosamine (O-GlcNAc) Cycling Impacts Neurodevelopmental Timing and Metabolism. J. Biol. Chem. 292, 6076–6085. doi:10.1074/jbc.M116.774042

PubMed Abstract | CrossRef Full Text | Google Scholar

Oueslati, A. (2016). Implication of Alpha-Synuclein Phosphorylation at S129 in Synucleinopathies: What Have We Learned in the Last Decade? Jpd 6, 39–51. doi:10.3233/JPD-160779

PubMed Abstract | CrossRef Full Text | Google Scholar

Pain, C., Dumont, J., and Dumoulin, M. (2015). Camelid Single-Domain Antibody Fragments: Uses and Prospects to Investigate Protein Misfolding and Aggregation, and to Treat Diseases Associated with These Phenomena. Biochimie 111, 82–106. doi:10.1016/j.biochi.2015.01.012

PubMed Abstract | CrossRef Full Text | Google Scholar

Pakravan, D., Michiels, E., Bratek-Skicki, A., De Decker, M., Van Lindt, J., Alsteens, D., et al. (2021). Liquid-Liquid Phase Separation Enhances TDP-43 LCD Aggregation but Delays Seeded Aggregation. Biomolecules 11, 548. doi:10.3390/biom11040548

PubMed Abstract | CrossRef Full Text | Google Scholar

Paleologou, K. E., Schmid, A. W., Rospigliosi, C. C., Kim, H.-Y., Lamberto, G. R., Fredenburg, R. A., et al. (2008). Phosphorylation at Ser-129 but Not the Phosphomimics S129E/D Inhibits the Fibrillation of α-Synuclein. J. Biol. Chem. 283, 16895–16905. doi:10.1074/jbc.M800747200

PubMed Abstract | CrossRef Full Text | Google Scholar

Pan, B., Park, J. H., Ramlall, T., Eliezer, D., Rhoades, E., and Petersson, E. J. (2021). Chemoenzymatic Semi‐synthesis Enables Efficient Production of Isotopically Labeled α‐Synuclein with Site‐Specific Tyrosine Phosphorylation. ChemBioChem 22, 1440–1447. doi:10.1002/cbic.202000742

PubMed Abstract | CrossRef Full Text | Google Scholar

Pan, B., Rhoades, E., and Petersson, E. J. (2020). Chemoenzymatic Semisynthesis of Phosphorylated α-Synuclein Enables Identification of a Bidirectional Effect on Fibril Formation. ACS Chem. Biol. 15, 640–645. doi:10.1021/acschembio.9b01038

PubMed Abstract | CrossRef Full Text | Google Scholar

Park, H.-S., Hohn, M. J., Umehara, T., Guo, L.-T., Osborne, E. M., Benner, J., et al. (2011). Expanding the Genetic Code of Escherichia coli with Phosphoserine. Science 333, 1151–1154. doi:10.1126/science.1207203

PubMed Abstract | CrossRef Full Text | Google Scholar

Pastorino, L., Sun, A., Lu, P.-J., Zhou, X. Z., Balastik, M., Finn, G., et al. (2006). The Prolyl Isomerase Pin1 Regulates Amyloid Precursor Protein Processing and Amyloid-β Production. Nature 440, 528–534. doi:10.1038/nature04543

PubMed Abstract | CrossRef Full Text | Google Scholar

Patel, A., Lee, H. O., Jawerth, L., Maharana, S., Jahnel, M., Hein, M. Y., et al. (2015). A Liquid-To-Solid Phase Transition of the ALS Protein FUS Accelerated by Disease Mutation. Cell 162, 1066–1077. doi:10.1016/j.cell.2015.07.047

PubMed Abstract | CrossRef Full Text | Google Scholar

Pavlova, A., McCarney, E. R., Peterson, D. W., Dahlquist, F. W., Lew, J., and Han, S. (2009). Site-specific Dynamic Nuclear Polarization of Hydration Water as a Generally Applicable Approach to Monitor Protein Aggregation. Phys. Chem. Chem. Phys. 11, 6833. doi:10.1039/b906101k

PubMed Abstract | CrossRef Full Text | Google Scholar

Pearce, M. M. P., and Kopito, R. R. (2018). Prion-Like Characteristics of Polyglutamine-Containing Proteins. Cold Spring Harb. Perspect. Med. 8, a024257. doi:10.1101/cshperspect.a024257

PubMed Abstract | CrossRef Full Text | Google Scholar

Pinheiro, F., Santos, J., and Ventura, S. (2021). AlphaFold and the Amyloid Landscape. J. Mol. Biol. 433, 167059. doi:10.1016/j.jmb.2021.167059

PubMed Abstract | CrossRef Full Text | Google Scholar

Podracky, C. J., An, C., DeSousa, A., Dorr, B. M., Walsh, D. M., and Liu, D. R. (2021). Laboratory Evolution of a Sortase Enzyme that Modifies Amyloid-β Protein. Nat. Chem. Biol. 17, 317–325. doi:10.1038/s41589-020-00706-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Pontecorvo, M. J., Devous, M. D., Navitsky, M., Lu, M., Salloway, S., Schaerf, F. W., et al. (2017). Relationships between Flortaucipir PET Tau Binding and Amyloid Burden, Clinical Diagnosis, Age and Cognition. Brain, aww334. doi:10.1093/brain/aww334

PubMed Abstract | CrossRef Full Text | Google Scholar

Pornsuwan, S., Giller, K., Riedel, D., Becker, S., Griesinger, C., and Bennati, M. (2013). Long-Range Distances in Amyloid Fibrils of α-Synuclein from PELDOR Spectroscopy. Angew. Chem. Int. Ed. 52, 10290–10294. doi:10.1002/anie.201304747

CrossRef Full Text | Google Scholar

Pothin, E., Lesuisse, D., and Lafaye, P. (2020). Brain Delivery of Single-Domain Antibodies: A Focus on VHH and VNAR. Pharmaceutics 12, 937. doi:10.3390/pharmaceutics12100937

PubMed Abstract | CrossRef Full Text | Google Scholar

Prusiner, S. B. (1982). Novel Proteinaceous Infectious Particles Cause Scrapie. Science 216, 136–144. doi:10.1126/science.6801762

PubMed Abstract | CrossRef Full Text | Google Scholar

Pytowski, L., Lee, C. F., Foley, A. C., Vaux, D. J., and Jean, L. (2020). Liquid-liquid Phase Separation of Type II Diabetes-Associated IAPP Initiates Hydrogelation and Aggregation. Proc. Natl. Acad. Sci. U.S.A. 117, 12050–12061. doi:10.1073/pnas.1916716117

PubMed Abstract | CrossRef Full Text | Google Scholar

Quinn, J. P., Corbett, N. J., Kellett, K. A. B., and Hooper, N. M. (2018). Tau Proteolysis in the Pathogenesis of Tauopathies: Neurotoxic Fragments and Novel Biomarkers. Jad 63, 13–33. doi:10.3233/JAD-170959

PubMed Abstract | CrossRef Full Text | Google Scholar

Rai, S. K., Savastano, A., Singh, P., Mukhopadhyay, S., and Zweckstetter, M. (2021). Liquid-liquid Phase Separation of Tau: From Molecular Biophysics to Physiology and Disease. Protein Sci. 30, 1294–1314. doi:10.1002/pro.4093

PubMed Abstract | CrossRef Full Text | Google Scholar

Ramirez, D. H., Aonbangkhen, C., Wu, H.-Y., Naftaly, J. A., Tang, S., O’Meara, T. R., et al. (2020). Engineering a Proximity-Directed O-GlcNAc Transferase for Selective Protein O-GlcNAcylation in Cells. ACS Chem. Biol. 15, 1059–1066. doi:10.1021/acschembio.0c00074

PubMed Abstract | CrossRef Full Text | Google Scholar

Reber, S., Jutzi, D., Lindsay, H., Devoy, A., Mechtersheimer, J., Levone, B. R., et al. (2021). The Phase Separation-dependent FUS Interactome Reveals Nuclear and Cytoplasmic Function of Liquid-Liquid Phase Separation. Nucleic Acids Res. 49, 7713–7731. doi:10.1093/nar/gkab582

PubMed Abstract | CrossRef Full Text | Google Scholar

Reimann, O., Smet‐Nocca, C., and Hackenberger, C. P. R. (2015). Traceless Purification and Desulfurization of Tau Protein Ligation Products. Angew. Chem. Int. Ed. 54, 306–310. doi:10.1002/anie.201408674

CrossRef Full Text | Google Scholar

Rice, L. J., Ecroyd, H., and van Oijen, A. M. (2021). Illuminating Amyloid Fibrils: Fluorescence-Based Single-Molecule Approaches. Comput. Struct. Biotechnol. J. 19, 4711–4724. doi:10.1016/j.csbj.2021.08.017

PubMed Abstract | CrossRef Full Text | Google Scholar

Rijal Upadhaya, A., Kosterin, I., Kumar, S., von Arnim, C. A. F., Yamaguchi, H., Fändrich, M., et al. (2014). Biochemical Stages of Amyloid-β Peptide Aggregation and Accumulation in the Human Brain and Their Association with Symptomatic and Pathologically Preclinical Alzheimer's Disease. Brain 137, 887–903. doi:10.1093/brain/awt362

PubMed Abstract | CrossRef Full Text | Google Scholar

Rodriguez Camargo, D. C., Sileikis, E., Chia, S., Axell, E., Bernfur, K., Cataldi, R. L., et al. (2021). Proliferation of Tau 304-380 Fragment Aggregates through Autocatalytic Secondary Nucleation. ACS Chem. Neurosci. 12, 4406–4415. doi:10.1021/acschemneuro.1c00454

PubMed Abstract | CrossRef Full Text | Google Scholar

Rösner, D., Schneider, T., Schneider, D., Scheffner, M., and Marx, A. (2015). Click Chemistry for Targeted Protein Ubiquitylation and Ubiquitin Chain Formation. Nat. Protoc. 10, 1594–1611. doi:10.1038/nprot.2015.106

PubMed Abstract | CrossRef Full Text | Google Scholar

Ruiz-Riquelme, A., Lau, H. H. C., Stuart, E., Goczi, A. N., Wang, Z., Schmitt-Ulms, G., et al. (2018). Prion-like Propagation of β-amyloid Aggregates in the Absence of APP Overexpression. Acta Neuropathol. Commun. 6, 26. doi:10.1186/s40478-018-0529-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Ryan, P., Xu, M., Davey, A. K., Danon, J. J., Mellick, G. D., Kassiou, M., et al. (2019). O-GlcNAc Modification Protects against Protein Misfolding and Aggregation in Neurodegenerative Disease. ACS Chem. Neurosci. 10, 2209–2221. doi:10.1021/acschemneuro.9b00143

PubMed Abstract | CrossRef Full Text | Google Scholar

Sabri, O., Sabbagh, M. N., Seibyl, J., Barthel, H., Akatsu, H., Ouchi, Y., et al. (2015). Florbetaben PET Imaging to Detect Amyloid Beta Plaques in Alzheimer's Disease: Phase 3 Study. Alzheimer's & Dement. 11, 964–974. doi:10.1016/j.jalz.2015.02.004

CrossRef Full Text | Google Scholar

Saha, A., Bello, D., and Fernández-Tejada, A. (2021). Advances in Chemical Probing of Protein O-GlcNAc Glycosylation: Structural Role and Molecular Mechanisms. Chem. Soc. Rev. 50, 10451–10485. doi:10.1039/D0CS01275K

PubMed Abstract | CrossRef Full Text | Google Scholar

Saint-Aubert, L., Lemoine, L., Chiotis, K., Leuzy, A., Rodriguez-Vieitez, E., and Nordberg, A. (2017). Tau PET Imaging: Present and Future Directions. Mol. Neurodegener. 12, 19. doi:10.1186/s13024-017-0162-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Salwiczek, M., Nyakatura, E. K., Gerling, U. I. M., Ye, S., and Koksch, B. (2012). Fluorinated Amino Acids: Compatibility with Native Protein Structures and Effects on Protein-Protein Interactions. Chem. Soc. Rev. 41, 2135–2171. doi:10.1039/C1CS15241F

PubMed Abstract | CrossRef Full Text | Google Scholar

Sawner, A. S., Ray, S., Yadav, P., Mukherjee, S., Panigrahi, R., Poudyal, M., et al. (2021). Modulating α-Synuclein Liquid-Liquid Phase Separation. Biochemistry 60, 3676–3696. doi:10.1021/acs.biochem.1c00434

PubMed Abstract | CrossRef Full Text | Google Scholar

Schneider, A., Biernat, J., von Bergen, M., Mandelkow, E., and Mandelkow, E.-M. (1999). Phosphorylation that Detaches Tau Protein from Microtubules (Ser262, Ser214) Also Protects it against Aggregation into Alzheimer Paired Helical Filaments. Biochemistry 38, 3549–3558. doi:10.1021/bi981874p

PubMed Abstract | CrossRef Full Text | Google Scholar

Schwagerus, S., Reimann, O., Despres, C., Smet-Nocca, C., and Hackenberger, C. P. R. (2016). Semi-synthesis of a Tag-freeO-GlcNAcylated Tau Protein by Sequential Chemoselective Ligation. J. Pept. Sci. 22, 327–333. doi:10.1002/psc.2870

PubMed Abstract | CrossRef Full Text | Google Scholar

Schweighauser, M., Shi, Y., Tarutani, A., Kametani, F., Murzin, A. G., Ghetti, B., et al. (2020). Structures of α-synuclein Filaments from Multiple System Atrophy. Nature 585, 464–469. doi:10.1038/s41586-020-2317-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Sebollela, A., Cline, E. N., Popova, I., Luo, K., Sun, X., Ahn, J., et al. (2017). A Human scFv Antibody that Targets and Neutralizes High Molecular Weight Pathogenic Amyloid‐β Oligomers. J. Neurochem. 142, 934–947. doi:10.1111/jnc.14118

PubMed Abstract | CrossRef Full Text | Google Scholar

Shafi, R., Iyer, S. P. N., Ellies, L. G., O'Donnell, N., Marek, K. W., Chui, D., et al. (2000). The O-GlcNAc Transferase Gene Resides on the X Chromosome and Is Essential for Embryonic Stem Cell Viability and Mouse Ontogeny. Proc. Natl. Acad. Sci. U.S.A. 97, 5735–5739. doi:10.1073/pnas.100471497

PubMed Abstract | CrossRef Full Text | Google Scholar

Shahmoradian, S. H., Lewis, A. J., Genoud, C., Hench, J., Moors, T. E., Navarro, P. P., et al. (2019). Lewy Pathology in Parkinson's Disease Consists of Crowded Organelles and Lipid Membranes. Nat. Neurosci. 22, 1099–1109. doi:10.1038/s41593-019-0423-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Shi, Y., Zhang, W., Yang, Y., Murzin, A. G., Falcon, B., Kotecha, A., et al. (2021). Structure-based Classification of Tauopathies. Nature 598, 359–363. doi:10.1038/s41586-021-03911-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Shimogawa, M., and Petersson, E. J. (2021). New Strategies for Fluorescently Labeling Proteins in the Study of Amyloids. Curr. Opin. Chem. Biol. 64, 57–66. doi:10.1016/j.cbpa.2021.04.011

PubMed Abstract | CrossRef Full Text | Google Scholar

Shin, J., Kepe, V., Barrio, J. R., and Small, G. W. (2011). The Merits of FDDNP-PET Imaging in Alzheimer's Disease. JAD 26, 135–145. doi:10.3233/JAD-2011-0008

PubMed Abstract | CrossRef Full Text | Google Scholar

Siddiqua, A., Luo, Y., Meyer, V., Swanson, M. A., Yu, X., Wei, G., et al. (2012). Conformational Basis for Asymmetric Seeding Barrier in Filaments of Three- and Four-Repeat Tau. J. Am. Chem. Soc. 134, 10271–10278. doi:10.1021/ja303498q

PubMed Abstract | CrossRef Full Text | Google Scholar

Sillen, A., Leroy, A., Wieruszeski, J.-M., Loyens, A., Beauvillain, J.-C., Buée, L., et al. (2005). Regions of Tau Implicated in the Paired Helical Fragment Core as Defined by NMR. Chembiochem 6, 1849–1856. doi:10.1002/cbic.200400452

PubMed Abstract | CrossRef Full Text | Google Scholar

Šimić, G., Babić Leko, M., Wray, S., Harrington, C., Delalle, I., Jovanov-Milošević, N., et al. (2016). Tau Protein Hyperphosphorylation and Aggregation in Alzheimer's Disease and Other Tauopathies, and Possible Neuroprotective Strategies. Biomolecules 6, 6. doi:10.3390/biom6010006

PubMed Abstract | CrossRef Full Text | Google Scholar

Simon, M. D., Chu, F., Racki, L. R., de la Cruz, C. C., Burlingame, A. L., Panning, B., et al. (2007). The Site-specific Installation of Methyl-Lysine Analogs into Recombinant Histones. Cell 128, 1003–1012. doi:10.1016/j.cell.2006.12.041

PubMed Abstract | CrossRef Full Text | Google Scholar

Singh, V., Xu, L., Boyko, S., Surewicz, K., and Surewicz, W. K. (2020). Zinc Promotes Liquid-Liquid Phase Separation of Tau Protein. J. Biol. Chem. 295, 5850–5856. doi:10.1074/jbc.AC120.013166

PubMed Abstract | CrossRef Full Text | Google Scholar

Sinnaeve, D., Ben Bouzayene, A., Ottoy, E., Hofman, G.-J., Erdmann, E., Linclau, B., et al. (2021). Fluorine NMR Study of Proline-Rich Sequences Using Fluoroprolines. Magn. Reson. 2, 795–813. doi:10.5194/mr-2-795-2021

CrossRef Full Text | Google Scholar

Smet, C., Sambo, A.-V., Wieruszeski, J.-M., Leroy, A., Landrieu, I., Buée, L., et al. (2004). The Peptidyl Prolyl Cis/trans-Isomerase Pin1 Recognizes the Phospho-Thr212-Pro213 Site on Tau. Biochemistry 43, 2032–2040. doi:10.1021/bi035479x

PubMed Abstract | CrossRef Full Text | Google Scholar

Smet, C., Wieruszeski, J.-M., Buée, L., Landrieu, I., and Lippens, G. (2005). Regulation of Pin1 Peptidyl-Prolylcis/transisomerase Activity by its WW Binding Module on a Multi-Phosphorylated Peptide of Tau Protein. FEBS Lett. 579, 4159–4164. doi:10.1016/j.febslet.2005.06.048

PubMed Abstract | CrossRef Full Text | Google Scholar

Smet-Nocca, C., Broncel, M., Wieruszeski, J.-M., Tokarski, C., Hanoulle, X., Leroy, A., et al. (2011). Identification of O-GlcNAc Sites within Peptides of the Tau Protein and Their Impact on Phosphorylation. Mol. Biosyst. 7, 1420–1429. doi:10.1039/c0mb00337a

PubMed Abstract | CrossRef Full Text | Google Scholar

Smith, D. P., Anderson, J., Plante, J., Ashcroft, A. E., Radford, S. E., Wilson, A. J., et al. (2008). Trifluoromethyldiazirine: an Effective Photo-Induced Cross-Linking Probe for Exploring Amyloid Formation. Chem. Commun., 5728. doi:10.1039/b813504e

PubMed Abstract | CrossRef Full Text | Google Scholar

Sohma, Y., Hirayama, Y., Taniguchi, A., Mukai, H., and Kiso, Y. (2011). 'Click Peptide' Using Production of Monomer Aβ from the O-Acyl Isopeptide: Application to Assay System of Aggregation Inhibitors and Cellular Cytotoxicity. Bioorg. Med. Chem. 19, 1729–1733. doi:10.1016/j.bmc.2011.01.021

PubMed Abstract | CrossRef Full Text | Google Scholar

Soto, C., and Pritzkow, S. (2018). Protein Misfolding, Aggregation, and Conformational Strains in Neurodegenerative Diseases. Nat. Neurosci. 21, 1332–1340. doi:10.1038/s41593-018-0235-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Stewart, K. L., Hughes, E., Yates, E. A., Akien, G. R., Huang, T.-Y., Lima, M. A., et al. (2016). Atomic Details of the Interactions of Glycosaminoglycans with Amyloid-β Fibrils. J. Am. Chem. Soc. 138, 8328–8331. doi:10.1021/jacs.6b02816

PubMed Abstract | CrossRef Full Text | Google Scholar

Sun, B., Fan, W., Balciunas, A., Cooper, J. K., Bitan, G., Steavenson, S., et al. (2002). Polyglutamine Repeat Length-dependent Proteolysis of Huntingtin. Neurobiol. Dis. 11, 111–122. doi:10.1006/nbdi.2002.0539

PubMed Abstract | CrossRef Full Text | Google Scholar

Suzuki, Y., Brender, J. R., Hartman, K., Ramamoorthy, A., and Marsh, E. N. G. (2012). Alternative Pathways of Human Islet Amyloid Polypeptide Aggregation Distinguished by 19F Nuclear Magnetic Resonance-Detected Kinetics of Monomer Consumption. Biochemistry 51, 8154–8162. doi:10.1021/bi3012548

PubMed Abstract | CrossRef Full Text | Google Scholar

Suzuki, Y., Brender, J. R., Soper, M. T., Krishnamoorthy, J., Zhou, Y., Ruotolo, B. T., et al. (2013). Resolution of Oligomeric Species during the Aggregation of Aβ1-40 Using 19F NMR. Biochemistry 52, 1903–1912. doi:10.1021/bi400027y

PubMed Abstract | CrossRef Full Text | Google Scholar

Tang, S., Wang, W., and Zhang, X. (2021). Direct Visualization and Profiling of Protein Misfolding and Aggregation in Live Cells. Curr. Opin. Chem. Biol. 64, 116–123. doi:10.1016/j.cbpa.2021.05.008

PubMed Abstract | CrossRef Full Text | Google Scholar

Tang, Y., Zhang, D., Zhang, Y., Liu, Y., Cai, L., Plaster, E., et al. (2022). Fundamentals and Exploration of Aggregation-Induced Emission Molecules for Amyloid Protein Aggregation. J. Mater Chem. B 10, 2208–2295. doi:10.1039/D1TB01942B

CrossRef Full Text | Google Scholar

Taniguchi, A., Sohma, Y., Hirayama, Y., Mukai, H., Kimura, T., Hayashi, Y., et al. (2009). "Click Peptide": pH-Triggered In Situ Production and Aggregation of Monomer Aβ1-42. ChemBioChem 10, 710–715. doi:10.1002/cbic.200800765

PubMed Abstract | CrossRef Full Text | Google Scholar

Taniguchi, A., Sohma, Y., Kimura, M., Okada, T., Ikeda, K., Hayashi, Y., et al. (2006). "Click Peptide" Based on the "O-Acyl Isopeptide Method": Control of Aβ1−42 Production from a Photo-Triggered Aβ1−42 Analogue. J. Am. Chem. Soc. 128, 696–697. doi:10.1021/ja057100v

PubMed Abstract | CrossRef Full Text | Google Scholar

Tarrant, M. K., and Cole, P. A. (2009). The Chemical Biology of Protein Phosphorylation. Annu. Rev. Biochem. 78, 797–825. doi:10.1146/annurev.biochem.78.070907.103047

PubMed Abstract | CrossRef Full Text | Google Scholar

Tashima, Y., and Stanley, P. (2014). Antibodies that Detect O-Linked β-d-N-Acetylglucosamine on the Extracellular Domain of Cell Surface Glycoproteins. J. Biol. Chem. 289, 11132–11142. doi:10.1074/jbc.M113.492512

PubMed Abstract | CrossRef Full Text | Google Scholar

Tavassoly, O., Yue, J., and Vocadlo, D. J. (2021). Pharmacological Inhibition and Knockdown of O‐GlcNAcase Reduces Cellular Internalization of α‐synuclein Preformed Fibrils. FEBS J. 288, 452–470. doi:10.1111/febs.15349

PubMed Abstract | CrossRef Full Text | Google Scholar

Tegl, G., Hanson, J., Chen, H. M., Kwan, D. H., Santana, A. G., and Withers, S. G. (2019). Facile Formation of β‐thioGlcNAc Linkages to Thiol‐Containing Sugars, Peptides, and Proteins Using a Mutant GH20 Hexosaminidase. Angew. Chem. Int. Ed. 58, 1632–1637. doi:10.1002/anie.201809928

PubMed Abstract | CrossRef Full Text | Google Scholar

Tenreiro, S., Eckermann, K., and Outeiro, T. F. (2014). Protein Phosphorylation in Neurodegeneration: Friend or Foe? Front. Mol. Neurosci. 7, 7. doi:10.3389/fnmol.2014.00042

PubMed Abstract | CrossRef Full Text | Google Scholar

Tepper, K., Biernat, J., Kumar, S., Wegmann, S., Timm, T., Hübschmann, S., et al. (2014). Oligomer Formation of Tau Protein Hyperphosphorylated in Cells. J. Biol. Chem. 289, 34389–34407. doi:10.1074/jbc.M114.611368

PubMed Abstract | CrossRef Full Text | Google Scholar

Theillet, F.-X., Smet-Nocca, C., Liokatis, S., Thongwichian, R., Kosten, J., Yoon, M.-K., et al. (2012). Cell Signaling, Post-translational Protein Modifications and NMR Spectroscopy. J. Biomol. NMR 54, 217–236. doi:10.1007/s10858-012-9674-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Thompson, J. W., Griffin, M. E., and Hsieh-Wilson, L. C. (2018). Methods for the Detection, Study, and Dynamic Profiling of O-GlcNAc Glycosylation. Methods Enzym. 2018, 101–135. doi:10.1016/bs.mie.2017.06.009

PubMed Abstract | CrossRef Full Text | Google Scholar

Torbeev, V. Y., and Hilvert, D. (2013). Both the Cis - Trans Equilibrium and Isomerization Dynamics of a Single Proline Amide Modulate β2-microglobulin Amyloid Assembly. Proc. Natl. Acad. Sci. U.S.A. 110, 20051–20056. doi:10.1073/pnas.1310414110

PubMed Abstract | CrossRef Full Text | Google Scholar

Tunyasuvunakool, K., Adler, J., Wu, Z., Green, T., Zielinski, M., Žídek, A., et al. (2021). Highly Accurate Protein Structure Prediction for the Human Proteome. Nature 596, 590–596. doi:10.1038/s41586-021-03828-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Ulamec, S. M., Brockwell, D. J., and Radford, S. E. (2020). Looking beyond the Core: The Role of Flanking Regions in the Aggregation of Amyloidogenic Peptides and Proteins. Front. Neurosci. 14, 611285. doi:10.3389/fnins.2020.611285

PubMed Abstract | CrossRef Full Text | Google Scholar

van Husen, L. S., Schedin-Weiss, S., Trung, M. N., Kazmi, M. A., Winblad, B., Sakmar, T. P., et al. (2019). Dual Bioorthogonal Labeling of the Amyloid-β Protein Precursor Facilitates Simultaneous Visualization of the Protein and its Cleavage Products. JAD 72, 537–548. doi:10.3233/JAD-190898

PubMed Abstract | CrossRef Full Text | Google Scholar

Vandesquille, M., Li, T., Po, C., Ganneau, C., Lenormand, P., Dudeffant, C., et al. (2017). Chemically-defined Camelid Antibody Bioconjugate for the Magnetic Resonance Imaging of Alzheimer's Disease. MAbs 9, 1016–1027. doi:10.1080/19420862.2017.1342914

PubMed Abstract | CrossRef Full Text | Google Scholar

Vázquez de la Torre, A., Gay, M., Vilaprinyó-Pascual, S., Mazzucato, R., Serra-Batiste, M., Vilaseca, M., et al. (2018). Direct Evidence of the Presence of Cross-Linked Aβ Dimers in the Brains of Alzheimer's Disease Patients. Anal. Chem. 90, 4552–4560. doi:10.1021/acs.analchem.7b04936

PubMed Abstract | CrossRef Full Text | Google Scholar

Verhoork, S. J. M., Killoran, P. M., and Coxon, C. R. (2018). Fluorinated Prolines as Conformational Tools and Reporters for Peptide and Protein Chemistry. Biochemistry 57, 6132–6143. doi:10.1021/acs.biochem.8b00787

PubMed Abstract | CrossRef Full Text | Google Scholar

Vogl, D. P., Conibear, A. C., and Becker, C. F. W. (2021). Segmental and Site-specific Isotope Labelling Strategies for Structural Analysis of Posttranslationally Modified Proteins. RSC Chem. Biol. 2, 1441–1461. doi:10.1039/D1CB00045D

PubMed Abstract | CrossRef Full Text | Google Scholar

Walsh, D. M., and Selkoe, D. J. (2016). A Critical Appraisal of the Pathogenic Protein Spread Hypothesis of Neurodegeneration. Nat. Rev. Neurosci. 17, 251–260. doi:10.1038/nrn.2016.13

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, A., Conicella, A. E., Schmidt, H. B., Martin, E. W., Rhoads, S. N., Reeb, A. N., et al. (2018). A Single N‐terminal Phosphomimic Disrupts TDP‐43 Polymerization, Phase Separation, and RNA Splicing. EMBO J. 37. doi:10.15252/embj.201797452

CrossRef Full Text | Google Scholar

Wang, L.-Q., Zhao, K., Yuan, H.-Y., Wang, Q., Guan, Z., Tao, J., et al. (2020). Cryo-EM Structure of an Amyloid Fibril Formed by Full-Length Human Prion Protein. Nat. Struct. Mol. Biol. 27, 598–602. doi:10.1038/s41594-020-0441-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, L., Brock, A., Herberich, B., and Schultz, P. G. (2001). Expanding the Genetic Code of Escherichia coli. Science 292, 498–500. doi:10.1126/science.1060077

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, L., Xie, J., and Schultz, P. G. (2006). EXPANDING THE GENETIC CODE. Annu. Rev. Biophys. Biomol. Struct. 35, 225–249. doi:10.1146/annurev.biophys.35.101105.121507

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, L., Zhou, Y., Chen, D., and Lee, T. H. (2020). Peptidyl-Prolyl Cis/Trans Isomerase Pin1 and Alzheimer's Disease. Front. Cell Dev. Biol. 8, 355. doi:10.3389/fcell.2020.00355

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, P., Lazarus, B. D., Forsythe, M. E., Love, D. C., Krause, M. W., and Hanover, J. A. (2012). O-GlcNAc Cycling Mutants Modulate Proteotoxicity in Caenorhabditis elegans Models of Human Neurodegenerative Diseases. Proc. Natl. Acad. Sci. U.S.A. 109, 17669–17674. doi:10.1073/pnas.1205748109

PubMed Abstract | CrossRef Full Text | Google Scholar

Warner, J. B., Ruff, K. M., Tan, P. S., Lemke, E. A., Pappu, R. V., and Lashuel, H. A. (2017). Monomeric Huntingtin Exon 1 Has Similar Overall Structural Features for Wild-type and Pathological Polyglutamine Lengths. J. Am. Chem. Soc. 139, 14456–14469. doi:10.1021/jacs.7b06659

PubMed Abstract | CrossRef Full Text | Google Scholar

Watanabe, S., Inami, H., Oiwa, K., Murata, Y., Sakai, S., Komine, O., et al. (2020). Aggresome Formation and Liquid-Liquid Phase Separation Independently Induce Cytoplasmic Aggregation of TAR DNA-Binding Protein 43. Cell Death Dis. 11, 909. doi:10.1038/s41419-020-03116-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Wegmann, S., Eftekharzadeh, B., Tepper, K., Zoltowska, K. M., Bennett, R. E., Dujardin, S., et al. (2018). Tau Protein Liquid-Liquid Phase Separation Can Initiate Tau Aggregation. EMBO J. 37. doi:10.15252/embj.201798049

PubMed Abstract | CrossRef Full Text | Google Scholar

Wegmann, S., Medalsy, I. D., Mandelkow, E., and Müller, D. J. (2013). The Fuzzy Coat of Pathological Human Tau Fibrils Is a Two-Layered Polyelectrolyte Brush. Proc. Natl. Acad. Sci. U.S.A. 110, E313–E321. doi:10.1073/pnas.1212100110

PubMed Abstract | CrossRef Full Text | Google Scholar

Wells, L., Vosseller, K., and Hart, G. W. (2003). A Role for N -acetylglucosamine as a Nutrient Sensor and Mediator of Insulin Resistance. Cell. Mol. Life Sci. (CMLS) 60, 222–228. doi:10.1007/s000180300017

PubMed Abstract | CrossRef Full Text | Google Scholar

Wesseling, H., Mair, W., Kumar, M., Schlaffner, C. N., Tang, S., Beerepoot, P., et al. (2020). Tau PTM Profiles Identify Patient Heterogeneity and Stages of Alzheimer's Disease. Cell 183, 1699–1713. e13. doi:10.1016/j.cell.2020.10.029

PubMed Abstract | CrossRef Full Text | Google Scholar

Winklhofer, K. F., Tatzelt, J., and Haass, C. (2008). The Two Faces of Protein Misfolding: Gain- and Loss-Of-Function in Neurodegenerative Diseases. EMBO J. 27, 336–349. doi:10.1038/sj.emboj.7601930

PubMed Abstract | CrossRef Full Text | Google Scholar

Wischik, C. M., Novak, M., Edwards, P. C., Klug, A., Tichelaar, W., and Crowther, R. A. (1988). Structural Characterization of the Core of the Paired Helical Filament of Alzheimer Disease. Proc. Natl. Acad. Sci. U.S.A. 85, 4884–4888. doi:10.1073/pnas.85.13.4884

PubMed Abstract | CrossRef Full Text | Google Scholar

Wolstenholme, C. H., Hu, H., Ye, S., Funk, B. E., Jain, D., Hsiung, C.-H., et al. (2020). AggFluor: Fluorogenic Toolbox Enables Direct Visualization of the Multi-step Protein Aggregation Process in Live Cells. J. Am. Chem. Soc. 142, 17515–17523. doi:10.1021/jacs.0c07245

PubMed Abstract | CrossRef Full Text | Google Scholar

Wright, T. H., Bower, B. J., Chalker, J. M., Bernardes, G. J. L., Wiewiora, R., Ng, W.-L., et al. (2016). Posttranslational Mutagenesis: A Chemical Strategy for Exploring Protein Side-Chain Diversity. Science 354, aag1465. doi:10.1126/science.aag1465

PubMed Abstract | CrossRef Full Text | Google Scholar

Xu, Z., Graham, K., Foote, M., Liang, F., Rizkallah, R., Hurt, M., et al. (2013). 14-3-3 Targets Chaperone-Associated Misfolded Proteins to Aggresomes. J. Cell Sci., 126102. doi:10.1242/jcs.126102

PubMed Abstract | CrossRef Full Text | Google Scholar

Yan, M. H., Wang, X., and Zhu, X. (2013). Mitochondrial Defects and Oxidative Stress in Alzheimer Disease and Parkinson Disease. Free Radic. Biol. Med. 62, 90–101. doi:10.1016/j.freeradbiomed.2012.11.014

PubMed Abstract | CrossRef Full Text | Google Scholar

Yang, A., Cho, K., and Park, H.-S. (2018). Chemical Biology Approaches for Studying Posttranslational Modifications. RNA Biol. 15, 427–440. doi:10.1080/15476286.2017.1360468

PubMed Abstract | CrossRef Full Text | Google Scholar

Yang, A., Ha, S., Ahn, J., Kim, R., Kim, S., Lee, Y., et al. (2016). A Chemical Biology Route to Site-specific Authentic Protein Modifications. Science 354, 623–626. doi:10.1126/science.aah4428

PubMed Abstract | CrossRef Full Text | Google Scholar

Yang, B., Wang, N., Schnier, P. D., Zheng, F., Zhu, H., Polizzi, N. F., et al. (2019). Genetically Introducing Biochemically Reactive Amino Acids Dehydroalanine and Dehydrobutyrine in Proteins. J. Am. Chem. Soc. 141, 7698–7703. doi:10.1021/jacs.9b02611

PubMed Abstract | CrossRef Full Text | Google Scholar

Yang, J., Perrett, S., and Wu, S. (2021). Single Molecule Characterization of Amyloid Oligomers. Molecules 26, 948. doi:10.3390/molecules26040948

PubMed Abstract | CrossRef Full Text | Google Scholar

Yang, Y., Arseni, D., Zhang, W., Huang, M., Lövestam, S., Schweighauser, M., et al. (2022). Cryo-EM Structures of Amyloid-β 42 Filaments from Human Brains. Science 375, 167–172. doi:10.1126/science.abm7285

PubMed Abstract | CrossRef Full Text | Google Scholar

Yuzwa, S. A., Cheung, A. H., Okon, M., McIntosh, L. P., and Vocadlo, D. J. (2014). O-GlcNAc Modification of Tau Directly Inhibits its Aggregation without Perturbing the Conformational Properties of Tau Monomers. J. Mol. Biol. 426, 1736–1752. doi:10.1016/j.jmb.2014.01.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Yuzwa, S. A., Macauley, M. S., Heinonen, J. E., Shan, X., Dennis, R. J., He, Y., et al. (2008). A Potent Mechanism-Inspired O-GlcNAcase Inhibitor that Blocks Phosphorylation of Tau In Vivo. Nat. Chem. Biol. 4, 483–490. doi:10.1038/nchembio.96

PubMed Abstract | CrossRef Full Text | Google Scholar

Yuzwa, S. A., Shan, X., Jones, B. A., Zhao, G., Woodward, M. L., Li, X., et al. (2014). Pharmacological Inhibition of O-GlcNAcase (OGA) Prevents Cognitive Decline and Amyloid Plaque Formation in Bigenic Tau/APP Mutant Mice. Mol. Neurodegener. 9, 42. doi:10.1186/1750-1326-9-42

PubMed Abstract | CrossRef Full Text | Google Scholar

Yuzwa, S. A., Shan, X., Macauley, M. S., Clark, T., Skorobogatko, Y., Vosseller, K., et al. (2012). Increasing O-GlcNAc Slows Neurodegeneration and Stabilizes Tau against Aggregation. Nat. Chem. Biol. 8, 393–399. doi:10.1038/nchembio.797

PubMed Abstract | CrossRef Full Text | Google Scholar

Yuzwa, S. A., Yadav, A. K., Skorobogatko, Y., Clark, T., Vosseller, K., and Vocadlo, D. J. (2011). Mapping O-GlcNAc Modification Sites on Tau and Generation of a Site-specific O-GlcNAc Tau Antibody. Amino Acids 40, 857–868. doi:10.1007/s00726-010-0705-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, J., Lei, H., Chen, Y., Ma, Y.-T., Jiang, F., Tan, J., et al. (2017). Enzymatic O-GlcNAcylation of α-synuclein Reduces Aggregation and Increases SDS-Resistant Soluble Oligomers. Neurosci. Lett. 655, 90–94. doi:10.1016/j.neulet.2017.06.034

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, J., Li, X., and Li, J.-D. (2019). The Roles of Post-translational Modifications on α-Synuclein in the Pathogenesis of Parkinson's Diseases. Front. Neurosci. 13, 381. doi:10.3389/fnins.2019.00381

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, W., Falcon, B., Murzin, A. G., Fan, J., Crowther, R. A., Goedert, M., et al. (2019). Heparin-induced Tau Filaments Are Polymorphic and Differ from Those in Alzheimer's and Pick's Diseases. Elife 8, e43584. doi:10.7554/eLife.43584

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, W., Tarutani, A., Newell, K. L., Murzin, A. G., Matsubara, T., Falcon, B., et al. (2020). Novel Tau Filament Fold in Corticobasal Degeneration. Nature 580, 283–287. doi:10.1038/s41586-020-2043-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, X., Lin, Y., Eschmann, N. A., Zhou, H., Rauch, J. N., Hernandez, I., et al. (2017). RNA Stores Tau Reversibly in Complex Coacervates. PLoS Biol. 15, e2002183. doi:10.1371/journal.pbio.2002183

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, X., Sun, X.-x., Xue, D., Liu, D.-g., Hu, X.-y., Zhao, M., et al. (2011). Conformation-dependent scFv Antibodies Specifically Recognize the Oligomers Assembled from Various Amyloids and Show Colocalization of Amyloid Fibrils with Oligomers in Patients with Amyloidoses. Biochimica Biophysica Acta (BBA) - Proteins Proteomics 1814, 1703–1712. doi:10.1016/j.bbapap.2011.09.005

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhao, K., Lim, Y.-J., Liu, Z., Long, H., Sun, Y., Hu, J.-J., et al. (2020). Parkinson's Disease-Related Phosphorylation at Tyr39 Rearranges α-synuclein Amyloid Fibril Structure Revealed by Cryo-EM. Proc. Natl. Acad. Sci. U.S.A. 117, 20305–20315. doi:10.1073/pnas.1922741117

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhou, C., Emadi, S., Sierks, M. R., and Messer, A. (2004). A Human Single-Chain Fv Intrabody Blocks Aberrant Cellular Effects of Overexpressed α-synuclein. Mol. Ther. 10, 1023–1031. doi:10.1016/j.ymthe.2004.08.019

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhou, X. Z., Kops, O., Werner, A., Lu, P.-J., Shen, M., Stoller, G., et al. (2000). Pin1-dependent Prolyl Isomerization Regulates Dephosphorylation of Cdc25C and Tau Proteins. Mol. Cell 6, 873–883. doi:10.1016/s1097-2765(05)00083-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhu, Y., and Hart, G. W. (2020). Targeting the O‐GlcNAc Transferase to Specific Proteins Using RNA Aptamers. FASEB J. 34, 1. doi:10.1096/fasebj.2020.34.s1.02729

CrossRef Full Text | Google Scholar

Zurlo, E., Gorroño Bikandi, I., Meeuwenoord, N. J., Filippov, D. V., and Huber, M. (2019). Tracking Amyloid Oligomerization with Monomer Resolution Using a 13-amino Acid Peptide with a Backbone-Fixed Spin Label. Phys. Chem. Chem. Phys. 21, 25187–25195. doi:10.1039/C9CP01060B

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: amyloid fibril, aggregation, neurodegenerative diseases, protein semisynthesis, posttranslational modifications, native chemical ligation, fluorescent probes, nanobody

Citation: Landrieu I, Dupré E, Sinnaeve D, El Hajjar L and Smet-Nocca C (2022) Deciphering the Structure and Formation of Amyloids in Neurodegenerative Diseases With Chemical Biology Tools. Front. Chem. 10:886382. doi: 10.3389/fchem.2022.886382

Received: 28 February 2022; Accepted: 20 April 2022;
Published: 12 May 2022.

Edited by:

Matthew A. Coleman, Department of Radiation Oncology, School of Medicine, University of California, Davis, United States

Reviewed by:

Wai-Lung Ng, The Chinese University of Hong Kong, China
Son Tung Ngo, Ton Duc Thang University, Vietnam

Copyright © 2022 Landrieu, Dupré, Sinnaeve, El Hajjar and Smet-Nocca. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Caroline Smet-Nocca, caroline.smet-nocca@univ-lille.fr

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.