RNA Editing and Retrotransposons in Neurology

Compared to sites in protein-coding sequences many more targets undergoing adenosine to inosine (A-to-I) RNA editing were discovered in non-coding regions of human cerebral transcripts, particularly in genetic transposable elements called retrotransposons. We review here the interaction mechanisms of RNA editing and retrotransposons and their impact on normal function and human neurological diseases. Exemplarily, A-to-I editing of retrotransposons embedded in protein-coding mRNAs can contribute to protein abundance and function via circular RNA formation, alternative splicing, and exonization or silencing of retrotransposons. Interactions leading to disease are not very well understood. We describe human diseases with involvement of the central nervous system including inborn errors of metabolism, neurodevelopmental disorders, neuroinflammatory and neurodegenerative and paroxysmal diseases, in which retrotransposons (Alu and/or L1 elements) appear to be causally involved in genetic rearrangements. Sole binding of single-stranded retrotransposon transcripts by RNA editing enzymes rather than enzymatic deamination may have a homeostatic effect on retrotransposon turnover. We also review evidence in support of the emerging pathophysiological function of A-to-I editing of retrotransposons in inflammation and its implication for different neurological diseases including amyotrophic lateral sclerosis, frontotemporal dementia, Alzheimer's and Parkinson's disease, and epilepsy.

Introduction

The complexity of humans must be due to more than the number of their genes, because a dichotomy exists between the functional complexity of some organs, such as the brain, and the number of genes in humans compared to other organisms. The molecular mechanisms of functional complexity are mannifold. It was progressively realized in recent years that epigenetic regulation, alternative splicing, post-transcriptional and -translational modifications, and in addition a somatic mosaicism of DNA, not only in protein-coding sequences but also in the large genome regions that do not code for proteins and contain amongst others regulatory functions, contribute to this complexity. One of these post-transcriptional site-specific modifications, RNA editing, enzymatically modifies specific nucleotides and changes one nucleotide into another. A set of RNA editing enzymes are adenosine deaminases that act on RNA (ADAR), which recognize adenosines present in double-stranded RNA (dsRNA) regions and catalyze the deamination of adenosine to inosine (A-to-I editing). Inosine in protein-coding transcripts is read as guanosine by the cellular translation machinery. Examples of transcripts edited by ADAR are mRNAs encoding glutamate receptors, serotonin receptors, and potassium channels in the central nervous system (CNS) (Rosenthal and Seeburg, 2012; Meier et al., 2016). Adenosines are not only deaminated in protein-coding parts, but in fact in the majority of cases in non-coding regions of sequences. The protein-coding part of the genome contains an estimated RNA editing to significant extent (>20%) of ~80 genes (Nishikura, 2016) (which might correspond to 100–150 editing sites, annotation by this review's authors), while the total number of A-to-I editing sites identified to date within the Genotype-Tissue Expression (GTEx) project are 2'802'751 with an estimated higher true positive rate (Supplementary Note 1 in Tan et al., 2017). Most editing sites reside in non-coding regions, and particularly within sequences called transposons via RNA intermediates (retrotransposons). Due to the prevalence of A-to-I editing in retrotransposons, and the strong effort so far made to elucidate the physiological and pathophysiological roles of retrotransposons regulated by RNA editing, it is timely and important to review current knowledge of these mechanisms from the point of view of neurology. Alterations in non-coding regions of the genome in the affected organs may explain low genotype-phenotype correlation (Erwin et al., 2016), and this review will focus on the human CNS by beginning with an introduction on transposable elements (TE or transposons) and the subset of retrotransposons that has as yet been described to be related to A-to-I editing and ADARs.

Transposons are frequent and make up about half of the human genome (44%; Mills et al., 2007). They can be classified into class I retrotransposons and class II DNA transposons upon their structural characteristics and mechanism of transposition (Cordaux and Batzer, 2009; Erwin et al., 2014; Kazazian, 2017). Class I retrotransposons, and in particular non-long terminal repeat (LTR) retrotransposons are regulated by RNA editing. Some remarkable characteristics should briefly be emphasized here: First, the DNA sequence of non-LTR retrotransposons contains a poly(A) tail at its 3′end with up to 60 nucleotides in length (Kazazian et al., 1988). Second, retrotransposons are transcribed by RNA polymerase II or III as non-coding transcripts with a poly(A)-tail and exported to the cytoplasm, or they are embedded in untranslated regions of RNA polymerase II generated mRNAs. As introns are spliced out prior to cytoplasmic export, retrotransposons are found in 5′UTRs and 3′UTRs of mRNAs. Lack of long terminal repeats, protein-coding capacity, and size further determine non-LTR retrotransposon classification. The first group consists of long interspersed nuclear (genome) elements (LINE). One type, LINE-1 or L1, has a full length of about 6 kb and with 500,000–700,000 copies constitutes ~15–17% of the human genome (Sela et al., 2007; Beck et al., 2010). Human-specific L1 (L1Hs) represent the only known autonomous retrotransposon family with ~80–100 active L1Hs elements per human individual (Brouha et al., 2003). Most L1 have lost their ability to retranspose probably due to accumulated mutations/fragmentation, DNA promoter methylation and heterochromatin formation, and ADAR1-dependent restriction through binding the basal L1-ribonucleoprotein (RNP) complex rather than through its editing activity (Orecchini et al., 2017a). Active L1 elements are transcribed from an internal Pol II promoter in the 5′UTR and contain two non-overlapping open reading frames ORF1 and ORF2. The latter encodes a protein with endonuclease and reverse transcriptase activities. It is generally accepted that L1 endonuclease introduces a nick at the consensus site 3′-AA/TTTT-5′ by cleaving at the bottom strand, which allows the T's at the 3′ terminus of the nick to prime reverse transcription from the poly(A) end of a L1 transcript.

The second group consists of short interspersed nuclear elements (SINE). Alu elements are the most prevalent non-LTR retrotransposon with >1 million copies in the human genome (Lander et al., 2001). The typical full-length Alu element is 300 bp, depending on the length of the 3′ oligo d(A)-rich tail. Alu elements are either embedded in protein-coding mRNAs or transcribed from an internal RNA polymerase III (Pol III) promoter into single-stranded RNAs (Shen et al., 1997). Alu elements are non-autonomous and depend on the retrotransposition molecular machinery provided by L1 elements (Dewannieux et al., 2003). Major active subfamilies responsible for novel retrotransposon insertions are AluYa5/8 and AluYb8/9. Over 90% of all A-to-I editing occurs in Alu elements (Athanasiadis et al., 2004; Levanon et al., 2004), and preferentially in those elements, which can form intramolecular double-stranded RNA structures. Compared to the number of editing events in Alu elements, A-to-I editing is rather low in L1 (<5%) (Athanasiadis et al., 2004; Chung et al., 2018).

A high density of genes, elevated GC-content, strong gene expression and inverse intron length positively correlated with high SINE density and inverse (i.e., low) LINE density (Versteeg et al., 2003). Active retrotransposons were proposed to contribute to a somatic mosaic and subsequently to phenotypic variation in health and disease of the brain (Evrony et al., 2012; Upton et al., 2015; Erwin et al., 2016). Recent work showed that novel somatic L1 insertions occurred at a rate of ~0.58–1 events per cell in both glia and neurons from human hippocampus and frontal cortex and affect at least 36% of the cells in the healthy adult brain (Erwin et al., 2016). The same work also showed that fixed L1 sequences in the genome may generate somatic copy number variants (CNV) in the brain via L1 endonuclease upregulation during neuronal differentiation. This observation corresponds well with previous work from the same laboratory, showing that 13–41% of cells from frontal cortex of healthy deceased human beings harbored at least 1 new CNV between 500 kb −1 Mb in size, with deletions being 2x more frequent than insertions (McConnell et al., 2013). The novel somatic insertion rate of Alu elements in the adult human brain is unknown. Neuronal retrotransposition may affect memorization (Richardson et al., 2014), which was convincingly demonstrated in case of olfactory memory formation in Drosophila (Perrat et al., 2013). In humans, a retrotransposition and DNA editing-dependent process of memory encoding and storage was previously suggested but not proven yet (Mehler and Mattick, 2007; Mehler, 2008).

Data Base Research

A systematic review of primary and secondary literature was performed here to study and discuss A-to-I editing and retrotransposons, their functions and interactions in the human CNS in physiological conditions and disease. PubMed was searched using the keywords “RNA editing” or “A-to-I editing” together with “review”, “human brain”, “micro RNA”, “piwi RNA”, “(endo-)siRNA”, “gene expression”, and “3′-UTR.” “5′-UTR”, “intron” that cover non-coding pre-mRNA structures. Further search terms were “ADAR”, “ADAR, brain”, “DNA editing, ADAR”, and “ADAR, disease”. Furthermore, PubMed was searched using keywords “retrotransposon” or “LINE” or “SINE” or “Alu” in combination with “incidence”, “review”, “human brain”, “health”, “disease”, “RNA editing”, “A-to-I editing”, “ADAR”, “ADAR1”, “ADAR2”, “APOBEC”, “(endo-)siRNA”, “brain tumor”, extracerebral cancers (such as lung and colorectal cancer), “epilepsy”, and “TDP-43”, Literature search for known mechanistic interactions of RNA editing with retrotransposons was performed using the keywords “RNA editing”, “A-to-I editing”, “retrotransposon”, “Alu”, “L1” together with “translational efficacy”, “gene expression”, “gene expression, brain”, “exonization”, “exon evolution”, “backsplicing”, “silencing”, and “circular RNA”. The investigation of potential immunogenicity of deficiently edited inverted-repeat Alu elements in 3′-UTR of mRNAs was done in the context of above-mentioned keywords together with “3′-UTR”, “inflammation”, “immunogenicity”, “immune system”, “inflammasome”. Physiological functions of retrotransposons and RNA editing in the CNS were investigated by searching the PubMed database using keywords “brain development”, “cognition”, “learning and memory”, “memory”, “neurogenesis”, and “intelligence”. Pathophysiological functions of RNA editing and transposable elements were investigated for all the diseases listed in Table 1 and Supplementary Table 1, together with the keywords “Alu”, “RNA editing”, and “ADAR”. The mechanisms of copy number variants (CNV) were also addressed.

TABLE 1

Table 1. Neurological diseases with primary genetic and/or neurodegenerative origin.

Retrotransposons and RNA Editing in Normal Brain Function

Genomic deletions with transposable element (TE) involvement have been identified, which presumedly take place in the genome of neural progenitor cells (Erwin et al., 2016). Actually, L1 retrotransposition has already been demonstrated in neural progenitor cells (Coufal et al., 2009), suggesting that it can occur during adult neurogenesis in the hippocampus and subventricular zone. It remains however to be clarified, whether retrotransposition of L1 and Alu elements can occur in postmitotic neurons and glia and contributes in this way to phenotypic diversity.

A-to-I editing levels at protein-coding sites and repetitive (typically non-coding) sites were overall comparable in various human tissues (including the brain) of >500 individuals from the GTEx project. Regarding editing in coding sites, cells that make up arteries had the highest rates, while muscle cells showed the lowest editing rates. Editing in repetitive sites was highest in arteries and cerebellum, while muscle again showed the lowest editing rates (Tan et al., 2017). In the following subsections, interactions between retrotransposons and A-to-I editing at the DNA, pre-mRNA, and mRNA levels will be reviewed and additionally revealed whether such mechanisms have already been demonstrated for human brain cells.

At the DNA Level

In the Drosophila nervous system, drosophila ADAR (dADAR) can bind to a chromosomal locus containing a gene that carries a transposon with tandem repeats, called Hoppel element, in one of its introns (Savva et al., 2013). A long dsRNA is generated from this transposon that can form perfectly matched double-stranded RNA, if not edited by dADAR. Deficient or missing A-to-I editing of the Hoppel transposon can initiate silencing of other genes and transposons in trans. A similar mechanism of gene regulation by editing of single-stranded TE transcripts has not been reported in mammalian cells.

At the Pre-mRNA Level

66% of Alu elements and 58% of L1 are located in introns of the human transcriptome (Sela et al., 2007). Over 25% of protein-coding human mRNAs contained retrotransposons in their 3′UTR, ~6% carried Alu elements, and 5% L1 (Faulkner et al., 2009).

Non-LTR retrotransposons were proposed to contribute to the regulation of transcriptional efficiency/protein abundance by their ability to form double-stranded (ds) RNA structures. Through a mechanism called backsplicing, circular RNAs (circRNA) are generated from pre-mRNAs that contain complementary Alu elements in inverted orientation in introns flanking exons (Figure 1A). A-to-I RNA editing may prevent perfect dsRNA formation of inverted Alu elements and thus suppress backsplicing. Up to 15% of actively transcribed genes generate circRNAs and some genes seem to produce 10 times more circular than linear RNA. CircRNAs cannot be exported into the cytoplasm and thus reduce respective gene expression (Ivanov et al., 2015; Wilusz, 2015). CircRNAs are highly abundant in the human brain. A catalog of neuronal circRNAs was generated using human data from the ENCODE project and involving neurons that were differentiated from neuroblastoma cell lines. CircRNAs were indeed shown to be upregulated during neuronal differentiation and after ADAR1 siRNA knockdown in neuroblastoma cells (Rybak-Wolf et al., 2015).

FIGURE 1

Figure 1. Interaction of RNA editing and retrotransposons at the pre-mRNA level. (A) Non-LTR retrotransposons in inverted orientation in introns (hatched boxes with red lines pointing in opposite directions) flanking an exon (e, yellow boxes) may base-pair into double-stranded RNA and form circular RNA (left) by a mechanism called backsplicing. The residual pre-mRNA is subsequently degraded (dotted line). Deamination of an adenosine to an inosine (A → I) by ADAR within a non-LTR retrotransposon may prevent perfect base pairing (right) and hence formation of double-stranded cirular RNA and backsplicing. This pre-mRNA may be regularly spliced and exported. Both mechanisms may contribute to regulation of translational efficiency. (B) A-to-I editing can activate cryptic splice sites in non-LTR retrotransposons (hatched boxes) by deamination and creation of new splice donor (AU edited to IU = GU) and acceptor (AA edited to AI = AG) sites, resulting in alternative splicing and exonization of non-LTR retrotransposons. This may lead to new gene functions.

A-to-I editing of intronic Alu elements may also lead to the generation of new splice donor (AU edited to IU = GU) and acceptor (AA edited to AI = AG) sites and trigger alternative splicing and integration of Alu elements into exons that can result in novel gene functions (keyword “exonization,” Figure 1B) (Lev-Maor et al., 2007; Möller-Krull et al., 2008; Nishikura, 2016). A well-known example is auto-editing of the human ADARB1 (ADAR2) gene transcript by its protein, in which intronic AA dinucleotides turn into a functional AG 3′ splice site and alternative splicing with Alu exonization (into exon 8) creates a 2-fold difference of this gene product's editing activity. ADARB1 is strongly expressed in the brain (Gerber et al., 1997; Sela et al., 2007). Another example is Alu exonization via A-to-I editing in pre-mRNA of the human nuclear prelamin A recognition factor (NARF) that is ubiquitously expressed including brain. Two Alu elements in NARF intron 7 form a dsRNA structure and undergo RNA editing, which generates a new slice acceptor site, abolishes a stop codon, and leads to (pseudo)exon 8 (Lev-Maor et al., 2007). However, exonization by A-to-I editing appears to be a rather rare event (Athanasiadis et al., 2004). It is estimated that only 4% of all transposon-derived exons contribute to new functionality of the proteome (Sela et al., 2007). Exonisation of Alu elements can also occur in 5′UTRs and generate new upstream open reading frames (Shen et al., 2011). Alu exonization into the 3′UTR was described to occur by RNA editing-mediated generation of a splice donor site in transcripts from the GPR81 gene, a G protein-coupled receptor with some expression in the brain (Athanasiadis et al., 2004).

mRNAs carrying retrotransposons in their 3′UTRs appear to be less expressed than mRNAs without retrotransposons. In this regard, several mechanisms were discussed involving interference with non-coding transcripts from 3′UTRs or with other cis-regulatory elements, introduction of miRNA binding sites, truncation of 3′UTRs by premature polyadenylation signals in retrotransposons, and degradation in trans by other retrotransposons (Faulkner et al., 2009). Experiments in HeLa and HEK293 cells proposed that human mRNAs with inverted-repeat Alu elements in their 3′UTR were as likely exported to the cytoplasm as mRNAs lacking these structures, but they were in most cases translated less efficiently. Effects on translation were independent of the presence of inosine – i.e., they were sequence- (and thus RNA editing) independent - but rather dependent on the distance of the dsRNA structure from the stop codon (Capshew et al., 2012).

Introns and 3′UTRs may harbor multiple Alu elements that are located in inverted orientation. Inverted Alu elements can form intramolecular dsRNA structures and undergo A-to-I editing (Figure 2A; Capshew et al., 2012). The function of edited Alu elements in Pol II-transcribed mRNAs has now been impressively demonstrated in human cells including HEK293 cells and neuronal progenitor cells (Chung et al., 2018). In more detail, Alu elements are the primary editing target of ADAR1 (91%) in HEK293 cells. ADAR1-edited Alu elements were mainly found in introns (48%) and 3′ UTRs (37%). Very few (<0.1%) of ADAR1 edits were found in open reading frames and corresponding genes (i.e., their pre-mRNAs) edited by ADAR1 showed no significant enrichment of any gene ontology terms. About 5% of other TEs including L1 are editing targets of ADAR1. Actually, ADAR1 primarily edits Alu elements in RNA Pol II transcribed mRNAs, not Pol III transcribed Alu transcripts. ADAR1 editing does not affect mRNA abundance. Binding of ADAR1 to dsRNA structures within mRNAs as well as A-to-I editing prevents inhibition of both efficient translation of other mRNAs and cell proliferation, which are otherwise triggered during an inflammatory interferon-γ (IFN) response. Differentiation of ADAR1-deficient human embryonic stem cells to neuronal progenitor cells leads to spontaneous IFN production, activation of protein kinase R, and apoptotic cell death. Melanoma differentiation-associated gene 5 (MDA5 or interferon-induced helicase C domain containing protein 1, IFIH1), a soluble RNA receptor is the major dsRNA sensor for induction of an IFN-mediated inflammatory response and ADAR1 is a key player in preventing spontaneous MDA5 activation. MDA5 is particularly activated by the dsRNA structures formed by inverted-repeat Alus, which are largely present in 3′ UTR of retrotransposition-incompetent Pol II transcripts and not by the unpaired Alu elements from retrotranspostion-competent Pol III transcripts. Thus, deficient A-to-I editing of inverted-repeat Alus may “breach” the immune tolerance of MDA5 (Ahmad et al., 2018).

FIGURE 2

Figure 2. Interaction of RNA editing and retrotransposons at the pre-mRNA level. (A) Multiple non-LTR retrotransposons may be present in 3′UTR [indicated by preceding exon (e, yellow boxes) with stop codon “UAA”] in inverted orientation (lines in hatched boxes point in opposite directions). They may form perfectly matched double-stranded RNA structures (middle graph). Inverted-retrotransposon double-stranded RNA structures may also undergo A-to-I editing by ADAR, resulting in loop formation within double-stranded RNA (lower graph). The formation of partially matched double-stranded RNA structures in the 3′UTR is implicated in escape from cytosolic immune response. (B) AU-rich elements (ARE, gray box) and microRNA response elements (MRE, blue box) in 3′UTRs represent binding sites for proteins and microRNAs that can affect mRNA stability and translational efficiency. A-to-I editing may modulate adenosines within ARE and MRE and thus indirectly influence those mechanisms.

Finally, A-to-I editing may also affect AU-rich elements (ARE) and micro RNA response elements (MRE) in the 3′UTR (in mice; Liddicoat et al., 2015), thereby contributing to regulation of mRNA stability and translational efficiency (Figure 2B).

At the mRNA Level

Genomic Alu and L1 elements serve as templates for small non-coding RNAs such as piRNAs and endo-siRNAs that themselves do not affect the expression of protein-coding genes but control and quiesce autonomous L1 and Alu RNAs (Figure 3; Saito and Siomi, 2010). ADARs can have an effect on the level of small non-coding RNAs. This is supported by ADAR knockouts in Caenorhabditis elegans that notably had little influence on the nucleotide sequence of mature miRNA, endo-siRNAs, and piRNAs, but on the contrary changed expression levels of the majority of small RNAs up to 40% when compared to wildtype (Warf et al., 2012). While previous studies suggested an increase of endo-siRNA levels in the absence of ADAR function (e.g., Wu et al., 2011), this study found predominantly reduced small RNA levels in ADAR mutants (Warf et al., 2012). The authors furthermore discussed an A-to-I editing impact on dsRNA structures in the context of small RNA biogenesis or an RNA editing-independent sequestration of dsRNA by ADAR (Figure 3). Thus, normal ADAR protein abundance and A-to-I editing may contribute to the suppression of retrotransposons; a mechanism that remains to be shown in human differentiated neurons and glia.

FIGURE 3

Figure 3. Interaction of RNA editing and retrotransposons at the mRNA level. Retrotransposons (brown boxes) may be transcribed in sense and antisense direction (indicated by promoter symbols pointing in opposite directions), form double-stranded RNA (dsRNA) precursors (brown and green arrows) that are processed by Dicer into endo short interference RNAs (endo-siRNA). Endo-siRNAs (here indicated as short green lines) are loaded onto AGO2 proteins, may detect further single-stranded retrotransposons transcribed from other locations (middle brown brown box) and target them for degradation. Thus, the siRNA pathway contributes to retrotransposon silencing. Levels of endo-siRNA can be affected by ADAR and/or A-to-I editing, with an increase or decrease (indicated by “+/–“) of small RNA upon loss of ADAR.

Retrotransposons and RNA Editing in Neurological Disease

L1 and Alu elements have also been linked to disease. Several comprehensive reviews on retrotransposons and specific disease conditions have been published (Ostertag and Kazazian, 2001; Chen et al., 2005; Belancio et al., 2008; Hancks and Kazazian, 2012; Kaer and Speek, 2013; Elbarbary et al., 2016; Larsen et al., 2018). We are trying to provide here a comprehensive synergy of mechanisms involved in the diseases with CNS involvement associated with TEs (as listed in Table 1 and Supplementary Table 1). The Supplementary Text provides further detailed information.

Spinocerebellar Ataxias

Spinocerebellar ataxias are a group of neurodegenerative genetic disorders characterized by slowly progressive incoordination of gait and often associated with poor coordination of hands, speech, and eye movements. Spinocerebellar ataxias can be subdivided frequently according to other non-cerebellar features including parkinsonism, chorea, pyramidal signs, cognitive impairment, peripheral neuropathy, and seizures. Friedreich ataxia is the best known and most commonly inherited form of spinocerebellar ataxia. It can be caused by mutations or, in 98% of cases, by GAA trinucleotide-repeat expansions located at the center of an AluSq element in intron 1 of the frataxin (FXN) gene. Friedreich ataxia is the only known disease caused by abnormal expansion of a GAA trinucleotide-repeat sequence. It was suggested that GAA repeats arose by mutation or A-to-G conversion from poly(A) tracts of Alu elements. Many longer GAA repeats in the human genome can be found in the 3′ poly(A) tracts of Alu elements, but it was suggested that A-to-G conversion that led to poly-GAA repeats in Friedreich ataxia arose in the central linker region of Alu elements (Clark et al., 2004). Beyond GAA repeats, Alu elements were in general described to be a source for microsatellites (Arcot et al., 1995). Expansion of trinucleotide repeats was proposed to have arisen in Friedreich ataxia rather by in-tandem duplication up to a certain repeat length (Clark et al., 2004; Monticelli et al., 2004). From a certain repeat length onwards, genetic instability was proposed to contribute to additional repeat expansion, which is known in Neurology as anticipation. GAA repeat expansions affect pre-mRNA processing by inducing the accumulation of upstream splicing intermediates (Baralle et al., 2008). No interaction of RNA editing with these genetic rearrangements in Friedreich ataxia has been reported (Table 1).

Ataxia Teleangiectasia

Ataxia teleangiectasia is a variant spinocerebellar ataxia associated with immunodeficiency, blood vessel dilatation, hypogonadism, premature aging, genomic instability, radiation sensitivity, and cancer predisoposition. It can be caused by over 400 mutations (see Online Mendelian Inheritance in Man, OMIM; www.omim.org) in the ATM gene. ATM protein is a member of the phosphatidylinositol 3-kinase family that respond to DNA damage by phosphorylating key substrates involved in DNA repair and/or cell cycle control. Neurological manifestiations typically occur with homozygous or compound heterozygous mutations, while the cancer risk is already increased with heterozygous mutations (OMIM). 48% of the mutations in ATM were reported to be splicing-affecting mutations (Pastor et al., 2009). An individual with ataxia teleangiectasia was compound heterozygous for a c.2250 G-to-A splicing mutation and a 4 nt deletion in ATM intron 20, which were both considered to be causal (Pagani et al., 2002). The 4-base pair (bp) deletion disrupted an intronic splicing processing element, leading to activation of both an adjacent cryptic splice site and a cryptic exon. The splicing intermediate was only further processed, i.e., the cryptic exon was only included in the mRNA, if particular splicing factors bound in trans to a downstream intronic splicing enhancer that was located within an antisene Alu element (Pastor et al., 2009; Pastor and Pagani, 2011). Not only Alu elements but also L1 were reported to be involved in Ataxia teleangiectasia. A significantly increased L1 copy number [normalized to non-mobile repetitive DNA sequences (SATA, HERVH, 5sRNA gene)] was found with Taqman-based quantitative real-time PCR in postmortem hippocampal samples from 7 Ataxia teleangiectasia patients compared to hippocampi from deceased controls (Coufal et al., 2011). Yet it remains unclear how the increased L1 copy number contributed to the cause or progression of ataxia teleangiectasia in these patients.

Amyotrophic Lateral Sclerosis

Amyotrophic lateral sclerosis (ALS) is a neurodegenerative, genetic disease of the upper and lower motor neuron in the cerebral cortex and spinal cord. Over 20 ALS forms have been described in association with mutations in several genes, which can as yet only explain a minority of all the ALS cases (Zou et al., 2016). The majority of ALS cases occur sporadically and up to 10% are familial. ALS type 12 with autosomal dominant or recessive inheritance can be caused by homozygous or heterozygous mutations in the optineurin (OPTN) gene (Maruyama et al., 2010). Two Japanese siblings with ALS 12 were reported with homozygous OPTN exon 5 deletion. Sequencing of the breakpoint junction showed the 5′ part to be of AluJb from intron 4 and the 3′ part to be of AluSx from intron 5 with an overlapping 12-bp microhomology. Alu-mediated recombination was proposed as deletion mechanism (Maruyama et al., 2010). The identical homozygous deletion with Alu-involvement was found in another ALS patient from a Japanese cohort. Further 3 patients of this cohort carried heterozygous deletions of exons 3–5 that occurred between Alu elements in introns 2 and 5. A fifth patient carried a heterozygous deletion between an Alu element 86 kb upstream to exon 1 and an Alu element in OPTN intron 4. All types of deletions were predicted to cause null alleles and were therefore considered to be causal (Iida et al., 2012; Table 1). One histological hallmark of ALS are neuronal protein aggregates in the form of cytoplasmatic inclusions that contain several ubiquitinated proteins including TDP-43. TDP-43 is a predominantly nuclear RNA/DNA-binding protein with functions in RNA processing and metabolism, including RNA transcription, splicing, transport, and stability. Hypoediting of the glutamine/arginine (Q/R) site of -amino-3-hydroxy-5-methyl-4-isoxazole propionic acid (AMPA) receptor subunit GRIA2 with increased intracellular Ca²⁺ influx was proposed to activate the Ca²⁺-dependent cysteine protease calpain, resulting in cleavage of TDP-43 and thereby contributing to cytoplasmic TDP-43-positive inclusions (Yamashita et al., 2017). It is an ongoing discussion whether cytoplasmic inclusions are beneficial or toxic to neurons. Beyond protein aggregates, neuronal excitotoxicity has been implicated in ALS. One mechanism of neuronal hyperexcitability was shown to be increased Ca²⁺ influx through deficiently edited GRIA2-containing AMPA receptors (by ADAR2) that contributed to the death of spinal motor neurons (Kawahara et al., 2004; Table 1).

Frontotemporal Dementia

Frontotemporal dementia (FTD) is one of the most frequent neurodegenerative dementias (besides Alzheimer disease) and can clinically be subdivided into behavioral variant FTD (e.g., change of personality, hyperorality, emotional lability), primary progressive aphasia (non-fluent speech, paraphasia, errors in syntax), and semantic variant dementia (loss of knowledge about function of objects, agnosia). Additional clinical symptoms can include a dysexecutive syndrome, urine incontinence, sometimes an extrapyramidal syndrome or pyramidal syndrome (signs of first and second motor neuron, i.e., symptoms of ALS). Most patients with FTD have intracellular inclusion bodies. Clinical cases are further classified according to neuro/histopathological criteria in FTD with inclusion bodies lacking histological characteristics; FTD with Tau-positive inclusion bodies, TDP-43 positive inclusion bodies, fused-in-sarcoma (FUS) or SOD-positive inclusion bodies, and others. The majority of cases carries TDP-43- and to a lesser extent Tau-positive inclusion bodies. Prevalent genes implicated in FTD are MAPT, PSEN1, GRN, TARDBP. Mutations in OPTN are rarely associated with FTD. Recently, a FTD patient with a primary progressive aphasia phenotype was identified, who carried a compound heterozygous genetic rearrangement consisting of a non-sense mutation in the TBK1 gene and a deletion spanning OPTN exons 13–15. The breakpoint junction showed a microhomology domain of 25 bp. Recombination occurred between sequences contained in introns 12 and 15 (Pottier et al., 2015). Although not explicitly stated, this type of deletion is reminiscent of non-homologous end-joining or microhomology-mediated end-joining possibly with Alu involvement, particularly as OPTN was described to contain 38 Alu repeats (Iida et al., 2012). It would be worthwile to re-analyze the sequence data of Pottier et al. regarding the question whether the breakpoints occurred in putative Alu elements. The genetic rearrangement was proposed to be causal, because strongly reduced mRNA and protein expression were found in the brain of this patient (Pottier et al., 2015). The observation of OPTN being a candidate gene for both ALS and FTD underlines previous observations that ALS and FTD are part of a clinical, histological, and genetic disease spectrum (Neumann et al., 2006). There is also the entity ALS- FTD that combines symptoms of both diseases and is frequently associated with mutations in the C9ORF72 gene. Intronic hexa-nucleotide repeat expansions in C9ORF72 cause poly glycine-arginine aggregations that can be found in cytoplasmic inclusions, often together with TDP-43. ALS and FTD are subsumed into the group of TDP-43 spectrum disorders. Increased transcript levels of AluYK12 elements have been found in frontal cortex of deceased patients with ALS-FTD compared to cortex from healthy deceased controls, suggesting increased retrotransposon pathology in ALS-FTD cases (Prudencio et al., 2017). Retrotransposon and transposon transcripts may also interact with TDP-43. Mining of a series of deep sequencing datasets of protein-RNA interactions (CLIP-seq) from human healthy and FTLD (frontotemporal lobar degeneration, the neuropathological term of FTD) brain tissues uncovered extensive binding of TDP-43 to TE transcripts (non-LTR, LTR, DNA elements; Li et al., 2012). The association between TDP-43 and TE-derived RNA targets was significantly reduced in patients with FTLD compared to healthy subjects. Yet the reason remained unclear particularly whether the reduced binding of TE transcripts in FTLD tissue was due to immunoprecipitation of smaller amounts of TDP-43 protein bound to TE RNA because residual TDP-43 was lumped together in cytoplasmic inclusions. Simultaneously, RNA-seq experiments in mice with TDP-43 pathology (one mouse strain with transgenic overexpression of human TDP-43; second mouse strain with antisense oligonucleotide-mediated depletion of TDP-43 in striatum that is a part of basal ganglia) both revealed significant elevation of TE-derived transcripts with a striking concordance to those TE RNAs that were identified as RNA targets of TDP-43 in CLIP-seq experiments of mice (Li et al., 2012). The hypothesis was brought forward that TDP-43 acts as a scavenger for TE-derived RNAs and elevated expression of TE-derived transcripts would occur, if TDP-43 was dysfunctional or misrepresented in the nucleus, (Li et al., 2012; Erwin et al., 2014; Figure 4). It remained to be clarified how elevated expression of TE RNA resulted in neurodegenerative disease and whether an increased number of somatic retrotransposition events occurred: in this regard, genomic instability, DNA damage, and toxic effects were discussed (Li et al., 2012). In subsequent work by the same group, it was shown that TDP-43 interfered with siRNA-mediated silencing of TE transcripts and that elevated expression of the LTR-retrotransposon gypsy (most active TE in Drosophila) was associated with enhanced TUNEL staining, taken together as evidence for increased apoptosis. In addition, experiments demonstrated that these mechanisms contributed to the ALS-phenotype in a Drosophila (Krug et al., 2017). It remains to be shown in humans, if, and if so how, increased levels of TE transcripts may contribute to ALS and FTD. RNA editing has not yet been associated with FTD or ALS-FTD, although ALS was associated with impaired editing, and FTD as well as ALS share a common pathophysiological spectrum (Table 1).

FIGURE 4

Figure 4. Transactive response DNA-binding protein (TDP-43 or TARDBP) may bind to single-stranded retrotransposons or to retrotransposons embedded in pre-mRNA and may regulate TE abundance or affect A-to-I editing. Normally, TDP-43 is proposed to act as a scavenger of TE-derived transcripts and regulates TE abundance. When TDP-43 function becomes comprised, as in certain neurodegenerative diseases with depletion of TDP-43 from the nucleus and aggreation in the neuronal cytoplasm, TEs become overexpressed (shown left-hand; Krug et al., 2017). Depicted right-hand, TDP-43 can also bind to retrotransposons contained in pre-mRNA and it was proposed that TDP-43 limits the extent of ADAR-mediated A-to-I editing in intronic inverted repeat dsRNA structures. A-to-I editing increases if nuclear TDP-43 is depleted. The bidirectional arrow questions whether the interaction is reciprocal and whether altered A-to-I editing may also lead to compromised binding of TDP-43 to pre-mRNA with loss of nuclear TDP-43 predominance, translocation to the cytoplasm, and aggregation. Yellow parts represent exons (e).

Hereditary Spastic Paraplegias

Hereditary spastic paraplegias are characterized by progessive spasticity and weakness of the legs. Autosomal dominant spastic paraplegia-4 (SPG4) with relatively pure lower limb spastic paraplegia is caused by heterozygous mutations in the SPAST gene. Three new SPG4 patients were described who carried heterozygous deletions of various sizes, all including SPAST exon 17. All breakpoints occurred in Alu elements, in only one patient in Alu elements of the same family. All deletions displayed a microhomology at the breakpoint junction. In one patient, insertion of an Alu fragment was additionally found at the breakpoint junction. A microhomology-mediated deletion was proposed as the mechanism of exon loss. It was argued against non-allelic homologous recombination, because breakpoint Alus were of different families in 2 patients and sequence identity was <90% (Boone et al., 2011). Furthermore, 60 SPG4 patients were studied in leukocyte DNA for genetic rearrangements in SPAST. Some patients of this large study were published previously. Of the 54 CNVs analyzed, 70% appeared to have been mediated by an Alu-based mechanism. The Alu-mediated CNVs were in principle consistent with homologous recombination between non-allelic Alus. Based on short length (<300 bp) and low percent sequence identity (<91%) of Alus, the mechanism of Alu-Alu recombination was questioned. Alternative rearrangement mechanisms were discussed including microhomology-mediated DNA repair (Boone et al., 2014 and references therein). Moreover, 2 different CNVs in the SPAST gene of 2 separate German families were characterized. Both were deletions of different size and location and both carried insertions of different size at the breakpoint junction. The larger insertion matched an AluYb8 sequence while the smaller 15-bp insertion was in microhomology to a general Alu consensus sequence. Therefore, a mechanism with Alu retrotransposition (insertion) was proposed, followed by non-allelic homologous recombination (for the deletion with the larger insertion) or non-homologous end joining (for the deletion with the smaller insertion) (Jahic et al., 2016). Large deletions can also be found in the SPG7 gene that is responsible for spastic paraplegia type 7, another form of autosomal recessive spastic paraplegia. Mother and son of a Spanish family with spastic paraplegia type 7 carried a complex rearrangement (the mother was homozygous and the son heterozygous for the rearrangement), which consisted of a deletion of SPG7 exons 11–13, with the eventual 5′ breakpoint in an AluSq element, the 3′ breakpoint adjacent to a core chi-like sequence (gctgg), and insertion of a 8-bp fragment from an intermediate AluSx element at the breakpoint junction. The sequence gctgg is contained in the chi sequence (gctggtggg) and is also present in the 26-bp core region of some Alu elements. López et al. suggested that recombination between Alu elements and chi sequences can take place by formation of intrachromosomal loops and deletion of the intervening sequences. A microhomology-mediated deletion was proposed as additional rearrangement mechanism, because the breakpoint contained a 8-bp insertion (López et al., 2015). A similar picture with Alu microhomology-mediated exon deletion was observed in the gene SPG11 in 3 patients with autosomal recessive spastic paraplegia type 11 (Conceição Pereira et al., 2012; Table 1).

Parkinson Disease

Parkinson disease is diagnosed by presence of the clinical trias “rigor, tremor, and akinesia.” Dominance of one symptom of the Parkinsonian trias, co-morbidities, age of onset, and sporadic or familial occurence further classify this disease. Many candidate genes have been implicated in Parkinson disease and its variants (see OMIM). Mutations in the PARK2 gene were made responsible for autosomal-recessive juvenile Parkinson disease. PARK2 carries a high frequency of deletions. It was proposed that PARK2 is located in a fragile site of the genome (Morais et al., 2016 and references therein). 17 Portugiese patients with autosomal-recessive juvenile Parkinson disease were reported with large homozygous or heterozygous PARK2 deletions. PARK2 deletions were heterogeneous in size and location and sometimes contained an insertion fragment. 5′ and 3′ breakpoints occurred in different types of sequences: 2 Alu elements, 1 Alu and various unique sequences, 2 uniques sequences, 1 Alu and 1 DNA transposon, 1 LINE-1 and 1 LINE-2/LTR- transposon, etc. Several deletion mechanisms were discussed: nonallelic homologous recombination between Alu elements, nonhomologous end joining, and microhomology-mediated end joining. The variability in breakpoints and rearrangements was explained by the independence of recurrent events, which remains to be demonstrated. Only a few patients with homozygous deletions had identical breakpoints. A subset of these patients were cosanguinous and a founder mutation was made responsible for identical breakpoints (Morais et al., 2016). Mutations in the DJ1 gene are implicated in autosomal recessive early-onset Parkinson disease (PARK7). One Dutch patient carried a homozygous genomic deletion of DJ1 exons 1–5 with breakpoints occuring within 16 bp of sequence (microhomology) identical in 2 Alu elements flanking the deletion. An unequal crossing-over (or non-allelic homologous recombination) was the proposed genomic rearrangement mechanism (Bonifati et al., 2003; Table 1).

Alzheimer Disease

Mutations in the Amyloid Precursor protein (APP), Presenilin 1 (PSEN1) and Presenilin 2 (PSEN2) genes and duplications of the APP locus are the main causes of autosomal dominant early-onset Alzheimer's disease. One patient with a heterozygous PSEN1 deletion of exons 9–10 was reported with breakpoints located in a 24 bp homologous sequence in 2 different Alu elements. A homologous Alu-mediated recombination was suggested, and causality was inferred from in-vitro experiments (Le Guennec et al., 2017; Table 1). Reduced A-to-I editing in Alzheimer's patients was found in prefrontal cortex at the GRIA2 Q/R site (99 vs. >99.9% in controls; Akbarian et al., 1995) and in hippocampus at various protein-recoding sites including GRIA3, GRIA4, GRI1, KCNA1, CACNA1D (Khermesh et al., 2016), and GRIA2 Q/R (Gaisler-Salomon et al., 2014; Table 1).

Human Epilepsy

Human epilepsy has as yet been associated with retrotransposon-mediated genetic rearrangements only in a few cases. Five patients have been reported with heterozygous Alu-mediated deletions in ALDH7A1, the gene responsible for pyridoxine-dependent epilepsy. This usually is a neonatal-onset epilepsy with various seizure types and unresponsiveness to standard anticonvulsants, responding only to immediate administration of pyridoxine hydrochloride. The dependence is permanent, and the interruption of daily pyridoxine supplementation leads to the recurrence of seizures. It is a metabolically caused epilepsy, because homozygous or compound heterozygous ALDH7A1 mutations lead to enzyme deficiency and perturbation of the pipecolic acid pathway of lysine catabolism. In 2 sibelings with pyridoxine-dependent epilepsy, ALDH7A1 exon 7 was heterozygously deleted and breakpoints were located in Alus of different families sharing 82% homology. A microhomology (overlapping identical sequence from the breakpoint Alus) of 11 bp was found at the breakpoint junction. A third patient carried a heterozygous ALDH7A1 exon 18 deletion. Breakpoints occurred in 2 Alu elements that shared 85% homology. A 18-bp microhomology was found at the breakpoint junction. In 2 further patients, array CGH data indicated that breakpoints were located in intronic clusters of Alu elements. Alu-Alu recombination was the proposed rearrangement mechanism. Deletions were predicted to lead to a truncated protein in 3 patients and suspected to be detrimental, particularly as all patients additionally carried compound heterozygous ALDH7A1 point mutations (Mefford et al., 2015). Early infantile epileptic encephalopathy-2 (EIEE2) with seizure onset in the first months of life and severe developmental delay has been associated with mutations in CDKL5. Three EIEE2 patients with variable deletions of CDKL5 exons 1–4 were reported. In 2 patients the breakpoints were located in Alu elements of different families, and in one patient deletion between an AluJb and a unique sequence occurred. The breakpoint junctions of the Alu-Alu deletions contained perfect microhomology sequences (identical sequences 7–15-bp long). Microhomology-Mediated Break-Induced Replication/Fork Stalling and Template Switching was suggested as deletion mechanism (Erez et al., 2009). The human CHNRA6 gene was shown to contain 2 Alus in tandem in its 5′ regulatory sequences that negatively controlled CHRNA6 expression irrespectively of their dual or singulary presence and orientation (Ebihara et al., 2002). A-to-I editing alterations in humans with epilepsy have been reported (e.g., Krestel et al., 2013 and references therein), but more recent studies with an update on newly discovered protein-recoding sites, sites edited to low extent in combination with functional studies, or non-coding editing sites could not be identified in our data base search (but see Meier et al., 2016). While the function of RNA editing has to be analyzed in somatic tissue, i.e., brain, and in case of (mesial) temporal lobe epilepsy (TLE) in hippocampus, the studies regarding the contribution of retrotransposons to human epilepsy have as yet been performed in DNA from blood only. However, we are currently undertaking a study to analyze the contribution of retrotransposons and RNA editing to somatic mosaicism (see McConnell et al., 2013) in human hippocampi of TLE patients to identify additional genetic factors in a disease that could as yet be traced back to only few genetic variants in DNA from blood.

Aicardi-Goutières Syndrome

Aicardi-Goutières syndrome is an early onset autoinflammatory disorder with spontaneous IFN production in the absence of virus infection (aseptic), particularly affecting the brain (cerebral atrophy, seizures, poor feeding, jitteriness, cerebral calcifications, white matter abnormalities) and skin. Mutations in ADAR1 have been identified as one cause, although the mechanism(s) leading to the neurological manifestations remained unclear (Rice et al., 2012). ADAR1 deficiency has now been shown to cause spontaneous IFN-gamma production in human neuronal progenitor cells and apoptotic cell death (Chung et al., 2018). Given the fact that ADAR1 primarily edits Alus embedded in mRNAs, Aicardi-Goutières syndrome may be the prime example of an autoinflammatory disorder (with deficiently edited Alus resulting in an aseptic neuroinflammatory response), in which A-to-I editing of retrotransposons has gone awry.

TDP-43 Spectrum Disorders, Retrotransposons, A-to-I Editing, and Inflammation

Several recent results argue in favor of a cooperation of TDP-43 with ADARs. First, both are predominantly nuclear proteins, even if TDP-43 can also be encountered to a small percentage in the cytoplasmic fraction and here particularly bound to the 3′UTR of mRNAs. Second, both proteins bind to pre-mRNA. This is known for ADARs, and shown with predominant binding of TDP-43 to introns in the nuclear fraction of post-mortem human neocortex samples from 3 cognitively normal (healthy) and 3 patients with sporadic FTLD (Tollervey et al., 2011). Third, knockdown of TDP-43 in mouse lowers expression of the ADAR2 transcript (and many other transcripts; Polymenidou et al., 2011). Thus, a deficit in RNA editing secondary to altered TDP-43 levels is conceivable. Accordingly, hypoediting of GRIA2/Gria2 as the main substrate of ADAR2 in the findings of ALS patients and mouse models could be both the triggering event for TDP-43 cleavage with subsequent cytoplasmic aggregation (as mentioned in chapter 4; Yamashita et al., 2017) and the consequence of reduced ADAR2 expression due to nuclear TDP-43 depletion and cytoplasmic aggregation. The hypothesis of a secondary hypoediting of GRIA2/Gria2 seems to be supported by lowered ADAR2 levels in spinal cord motor neurons of ALS patients (Hideyama et al., 2012). A fourth piece of evidence for the relationship between ADAR-mediated A-to-I editing and altered TDP-43 levels originates from knockdown experiments in Caenorhabditis elegans, HeLa cells, and M17 neuroblastoma cells. siRNA knockdowns of the Caenorhabditis elegans ortholog TDP-1 and TDP-43 in HeLa and M17 cells not only showed an increase in transcripts from the human endogenous retrovirus of the K subfamily (HERVK), but also an increase of A-to-I edits in introns (in inverted repeats), and in 3′UTRs of mRNAs (Saldi et al., 2014). It can be interesting to investigate whether TDP-43 binds to, or close to, inverted intronic Alu elements and cooperates with ADARs to regulate translational efficiency, e.g., by modulating A-to-I editing-mediated backsplicing or alternative splicing including Alu exonization (Figure 4). The same may apply for TDP-43 binding to 3′UTRs and A-to-I editing of dsRNA structures in 3′UTRs. It is therefore tempting to speculate if reciprocal interaction between TDP-43 and ADARs also exists in the sense that primarily dysregulated A-to-I editing affects TDP-43 binding (Figure 4).

Another possibly interesting interaction exists between neurodegenerative diseases/TDP-43 spectrum disorders and neuroinflammation. Neuroinflammation was proposed to be one causative factor for the disease or at least for disease progression e.g., of Parkinson's or Alzheimer's disease (Whitton, 2007; Heneka et al., 2015). Current pathophysiological opinion is that e.g., Amyloid beta (in Alzheimer's) and alpha synuclein (in synucleinopathies including Parkinson's), together with sensing of ATP and DNA from damaged neurons via purinergic P2X7 receptors, activate microglia that are key cellular components of the neuroimmune system. Activated microglia in turn induce via NF-κB and other transcription factors the production of inflammatory cytokines and reactive oxygen species that progressively harm cholinergic or dopaminergic neurons, respectively (Glass et al., 2010). A new avenue in pathogenesis may arise from the potential direct activation of microglia by dysregulated TDP-43. Microglia have a “sensome” that refers to an unique grouping of transcripts coding for microglia receptors and transmembrane proteins used for sensing endogenous ligands and microbes. The sensome is more expressed in microglia compared to neurons and is supposed to signal proinflammatory microglial activation. The murine sensome with its top 100 transcripts is provided in Hickman et al. (2013). Of these 100 transcripts, 27 were significantly upregulated upon TDP-43 depletion following antisense nucleotide injection in striatum of normal adult mice. These upregulated transcripts were P2ry13, Tgfbr2, Tnfrsf1b, C3ar1, Ccrl2, C5ar1, Fcgr3, Fcer1g, Fcgr2b, Fcgr1, Ly86, Cd68, Trem2, Cd180, Tlr2, Tlr7, Cxcl16, Cd48, Cd74, Itgb5, Lgals9, Cd52, Icam1, Cd84, Ptprc, Cd22, Cd53). One transcript was significantly downregulated (Siglech) and the remaining 72% of transcripts had unchanged expression (Supplementary Information in Polymenidou et al., 2011). These results suggest microglial activation upon TDP-43 dysregulation (i.e., nuclear TDP-43 depletion). To test the hypothesis of transcriptional upregulation of the microglial sensome by nuclear TDP-43 depletion in patients, RNA-seq data are necessary that are not yet available from FTLD brains of patients, at least not in the Sequence Read Archive (SRA) of NCBI. The CLIP-seq data from Tollervey et al. cannot be used for this purpose as they had analyzed particular protein-RNA interactions (Tollervey et al., 2011). In the SRA, total RNA-seq data are however available of motor neuron populations isolated from sporadic ALS cases and controls (SRA accession SRP067645, project 306659) as well as from homogenized cervical spine sections of sporadic ALS and healthy control subjects (SRA accession SRP064478, project 297335). Thus, using these data it should be possible to evaluate the “upregulated TDP-43-microglia transcript” hypothesis, provided that the sensitivity of RNA-seq is high enough (i.e., enough reads have been generated). Otherwise, human microglia have to be isolated from post-mortem tissues (which is possible by FACS; e.g. Galatro et al., 2017), their RNA expression profiles determined and compared with murine data (Polymenidou et al., 2011).

Immunogenicity of Endogenous mRNAs With Improperly Edited Inverted Retrotransposons as Additional Cause for Inflammation in Neurological Disease?

It is known for more than 50 years that the presence of foreign dsRNA in the cytoplasm of mammalian cells induces expression of interferon and thus activates an immune response (Lampson et al., 1967; Gantier and Williams, 2007). On the other hand, it is also known that cells produce large amounts of endogenous dsRNA. It was shown recently in human cells that mRNAs with embedded dsRNA structures are exported into the cytoplasm, that deficient A-to-I editing does not affect their cytosolic abundance, and that the purpose of A-to-I editing by ADAR1 rather seems to interfere with perfect matching of non-coding dsRNA and introduce formation of loop structures in order to avoid recognition by cytosolic soluble sensors of the interferon-mediated immune response such as MDA5; see above, chapter 3.2 (Liddicoat et al., 2015; George et al., 2016; Ahmad et al., 2018; Chung et al., 2018).

An association of hypoedited ds-Alu structures in 3′UTRs of mRNAs with neuroinflammation in TDP-43 spectrum disorders, neurodegenerative diseases in general (such as spinocerebellar ataxia, hereditary spastic paraplegia), and epilepsy has not been explored yet. The RNA editing status in neurological diseases has usually only been selectively examined with a focus on protein-recoding sites while data from sites in non-coding transcripts are largely missing (Table 1, Supplementary Text, Supplementary Table 1). Therefore, we can currently only speculate, which changes RNA editing undergoes at non-coding sites. Several neurological diseases (Huntington disease Akbarian et al., 1995; Alzheimer disease; Akbarian et al., 1995; Gaisler-Salomon et al., 2014; Khermesh et al., 2016; ALS; Kawahara et al., 2004) and epilepsy (e.g., Krestel et al., 2013), respond with both reduced and elevated A-to-I editing to their disease states and progression, with a tendency that reduced A-to-I editing levels at protein-recoding sites, compared to controls if they exist, prevail (for a recent review see Meier et al., 2016). If reduced editing of non-coding sites were also identified in inverted-repeat ds-Alu elements in 3′UTR of mRNAs this would represent an alternative hypothesis for neuroinflammation in these diseases. That is, because absence of ADAR1-mediated RNA modification would result in a structural loss of loops and gain of more perfectly matched dsRNA structures, which could be recognized by MDA5 that in turn would activate an immune response (Figure 5).

FIGURE 5

Figure 5. Possible mechanisms contributing to autoimmune encephalitides. In the center of the figure, an axial, T2-weighed magnetic resonance imaging section of a human brain is shown. The hyperintense (whitish “S”-shaped) structures represent inflammed, swollen hippocampi that are frequently affected in so-called autoimmune (limbic) encephalitis. Several forms are mainly B-lymphocyte- (B cell-) mediated with identification of a causative antibody (green). T-lymphocytes (T cell) and activated microglia (M1) may also contribute to neuroinflammation. Edited dsRNA in the 3′UTR of mRNAs may not be perfectly base-paired and thus contains loop structures that are not recognized by melanoma differentiation-associated gene 5 (MDA5), a cytoplasmic, soluble viral RNA receptor that activates a type I interferon mediated immune response (upper left graph). MDA5 consists of a N-terminal caspase recruitment domain (orange) a helicase domain (gray), and a C-terminal domain (blue; after Berke and Modis, 2012). Hypoedited and thus perfectly base-paired double-stranded RNA binds to the helicase and C-terminal domains and induces changes in the conformation and oligomerization of MDA5 that triggers an inflammatory response. An equivalent neuroinflammatory mechanism remains to be investigated in encephalitis patients (indicated by red question mark), but also in patients with neurodegenerative diseases, epilepsy, and other diseases where neuroinflammation is an important co-factor.

A relatively new field of autoimmune encephalitides now offers potential cure for some patients who may previously have been diagnosed with a psychiatric illness but also with epilepsy of unknown origin. Many of these acute-onset autoimmune encephalitides can now be diagnosed by detection of antibodies against glutamate receptors, GABA receptors, potassium channels or proteins of synaptic boutons such as LGI-1 and CASPR2, and others in blood or cerebrospinal fluid of patients (see e.g., Graus et al., 2016). Still, not all patients suspected to suffer from autoimmune encephalitis can be diagnosed with a particular causative antibody. These patients are thus probatorily treated with immune-modulatory drugs. If they respond to treatment (frequently only a few patients with partial response), their disease is usually termed steroid-responsive which covers all sorts of (mostly unknown) etiologies. Identification of a subset of mRNAs with deficiently edited 3′UTR dsRNA structures in the pool of >5% of mRNAs that are assumed to carry inverted-repeat ds-Alu structures in their 3′UTRs (Capshew et al., 2012) could reveal new pro-inflammatory causes, particularly in those steroid-responsive encephalopathies in which no causative autoimmune antibodies can as yet be identified.

Conclusions and Perspectives

Transposable Elements in the Generation of Genetic Rearrangements

In most if not all neurological diseases cited in this review (Table 1, Supplementary Text, Supplementary Table 1), TEs were involved in genetic rearrangement and the association between rearrangement and disease cause was frequently convincing. RNA editing alterations in contrast have either not been investigated in many diseases or have almost exclusively been reported at protein-recoding sites. The few RNA editing events at protein recoding sites appeared seemingly detached from previous reports about the overwhelming majority of edits in non-coding Alu sequences, and from the genetic rearrangements in the diseases discussed here. In addition, A-to-I editing has as yet no function in the mechanisms that were proposed to cause these genetic rearrangements. These mechanisms briefly are non-allelic homologous recombination (NAHR), non-homologous end-joining (NHEJ), microhomology-mediated end-joining (MMEJ), and replication-based mechanisms that predominantly occur in the S phase of the cell cycle and which are fork stalling and template switching (FoSTeS) and microhomology-mediated break-induced replication (MMBIR) (Zhang et al., 2009; Ottaviani et al., 2014). The mechanism of Alu retrotransposition-mediated deletion adds to the repertoire of genetic rearrangements, particularly as Alu insertions do not have to occur at typical AT-rich L1 endonuclease cleavage sites but can also use single-strand genomic breaks and integrate without the target site duplications at its ends that are otherwise typical for canonical Alu insertions (Callinan et al., 2005). The genetic rearrangements of the diseases cited in this review carry sequence signatures of one or several of the above-mentioned mechanisms. The difficulties in defining the rearrangement mechanism were frequently mentioned in the publications describing them. Indeed, some rearrangements were proposed to have taken place by NAHR, but retrospectively carry sequence signatures that would also qualify them for NHEJ or Alu retrotransposition-mediated deletion (e.g., Kutsche et al., 2002; Bonifati et al., 2003; in the Supplementary Text). Many questions remain: the most important of them are how somatic rearrangements in the brain look like as all copy number variants in the neurological diseases described here have been exclusively described in DNA samples from EDTA-blood. Were so far only “tips of the icebergs” discovered by DNA analysis of blood samples - do neuronal genetic rearrangements look substantially different and contribute in as yet unexplored ways to disease pathogenesis - are genetic rearrangements ongoing in postmitotic neurons and which mechanisms apply? NAHR, NHEJ, MMEJ are the preferred methods of repair during the G1 and G2 phases of the cell cycle, while FoSTeS and MMBIR preferentially occur during the S phase. Which mechanisms do repair genomic deletions in differentiated neurons in the G0 phase, particularly those with microhomology or Alu fragment insertion at the breakpoint junctions and how are they initiated? In fact, increased expression of non-coding single-stranded transcripts and augmented genomic integration of Alu and L1 elements have been reported in several neurological diseases (e.g., in ALS-FTD, Prudencio et al., 2017; or Rett syndrome, Muotri et al., 2010, see Supplementary Text), and we propose that Alu (and possibly L1) retrotransposition-mediated deletion may be an accentuated mechanism for somatic genomic rearrangement. Accordingly, it may rather be the RNA-binding function of ADAR1 that offers some protection from Alu (and possibly L1) retrotransposition-mediated rearrangements than ADAR's enzymatic deamination function. There is evidence that Alu and LINE-1 retrotransposition is suppressed by ADAR1 through an RNA editing-independent mechanism that involves binding the L1/Alu-RNP complex (Orecchini et al., 2017b and references therein). Trapping of TE transcripts might also occur by other proteins. Actually, extensive binding of TDP-43 to non-coding single-stranded TE transcripts in brain tissue from FTD patients and in a disease mouse model was proposed to have a scavenging function (Li et al., 2012); see also Figure 6. If such a function turned out to be correct, it should be possible to detect TE transcripts in TDP-43 positive inclusions of classical TDP-43 spectrum disorders (which has not been reported until now).

FIGURE 6

Figure 6. Hypothesis how transposable element-mediated genetic rearrangement could be counteracted by protein-RNA binding. Retrotransposon transcription from internal promoters can be activated by heat shock and disease as was for example reported in patients with amyotrophic lateral sclerosis-frontotemporal dementia (Prudencio et al., 2017; chapter 4). Activated TE transcription is indicated by detaching histone (beige oval), active promoter symbol, and multiple single-stranded mRNAs (brown lines with poly(A) tail). Single-stranded TE transcripts can be bound by TDP-43 or exported to the cytoplasm where they bind to ribonucleoprotein (RNP) particles depicted here as single-stranded RNA wrapped around RNP. Retrotransposon-RNP particles can be bound by ADAR or retransported into the nucleus where reverse-transcribed retrotransposons can integrate into the genome(hatched brown boxes). Excess TE transcripts could be scavanged by nuclear TDP-43 protein and cytosolic ADAR1 and thus may counteract TE mediated genetic rearrangement in neurological disease.

A-to-I Editing of Retrotransposons Embedded in Pol II Generated mRNAs

A-to-I editing of intronic Alu elements can contribute to the generation of circular RNAs and thus to the regulation of translational efficiency as well as to the creation of alternative splice donor or acceptor sites and thus, via alternative splicing and exonisation, to new function (see chapter 3.2). Alu elements (without obvious editing) in the 5′UTR can regulate gene expression (see example with CHNRA6 in chapter 4). The major function of ADAR1-mediated A-to-I editing of inverted-repeat Alus (and perhaps L1; Orecchini et al., 2017a and references therein) in the 3′UTR seems to be suppression (or regulation) of the endogenous IFN-mediated immune response (George et al., 2016; Mu et al., 2016; Ahmad et al., 2018; Chung et al., 2018). Thus, endogenous dsRNA structures emerge as a new factor in inflammation and in the context of this manuscript in neuroinflammation. The neuroimmune system is composed primarily of glial cells including astrocytes, microglia, oligodendrocytes, and mast cells originating from the hematopoietic lineage. Cellular components of the neuroimmune system contain cytosolic protein complexes, termed inflammasomes, that sense infectious or other host stimuli and initiate inflammatory responses through caspase activation (Mamik and Power, 2017). The activated inflammasomes e.g., in microglia are an emerging field with continuous identification of new triggers (e.g., Johann et al., 2015; Mamik and Power, 2017; TDP-43 as inflammasome trigger; Heneka et al., 2013; Zhao et al., 2015). Although hypoedited endogenous dsRNA structures are as yet not in the focus of attention as inflammatory trigger, more research in this line could answer several questions raised in this review, particularly as neuroinflammation is such an important co-factor in neurodegenerative diseases (Alzheimer's, Parkinson's, FTD, ALS etc.), epilepsy (e.g., Vezzani et al., 2011, 2013), and other diseases.

Author Contributions

HK wrote the manuscript. JM edited the manuscript. HK and JM produced the figures. All authors discussed the results and reviewed the manuscript.

Conflict of Interest Statement

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.

Acknowledgments

HK was supported in part by a Grant-in-Aid of the University of Bern and the Ettore and Valeria Rossi Foundation, Switzerland. JM was also supported by the Deutsche Forschungsgemeinschaft DFG (Priority Programme SPP1784, grant No. ME2075/7-1).

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fnmol.2018.00163/full#supplementary-material

Supplementary Table 1. Inborn errors of metabolism and neurodevelopmental disorders. Diseases with neurological involvement as well as 2 types of spinocerebellar ataxia, spinal muscular atrophy, glioma, and schizophrenia are presented, for which human data about genetic rearrangements in association with transposable elements have been identified. For these diseases, human data about RNA editing were investigated and are presented. The very right column of the table contains major candidate genes (with chromosomal location given in brackets) that have been implicated in the respective diseases.

References

Ahmad, S., Mu, X., Yang, F., Greenwald, E., Park, J. W., Jacob, E., et al. (2018). Breaching self-tolerance to Alu duplex RNA underlies MDA5-mediated inflammation. Cell 172, 797–810. doi: 10.1016/j.cell.2017.12.016

PubMed Abstract | CrossRef Full Text | Google Scholar

Akbarian, S., Smith, M. A., and Jones, E. G. (1995). Editing for an AMPA receptor subunit RNA in prefrontal cortex and striatum in Alzheimer's disease, Huntington's disease and schizophrenia. Brain Res. 699, 297–304. doi: 10.1016/0006-8993(95)00922-D

PubMed Abstract | CrossRef Full Text | Google Scholar

Arcot, S. S., Wang, Z., Weber, J. L., Deininger, P. L., and Batzer, M. A. (1995). Alu repeats: a source for the genesis of primate microsatellites. Genomics 29, 136–144. doi: 10.1006/geno.1995.1224

PubMed Abstract | CrossRef Full Text | Google Scholar

Athanasiadis, A., Rich, A., and Maas, S. (2004). Widespread A-to-I RNA editing of Alu-containing mRNAs in the human transcriptome. PLoS Biol. 2:e391. doi: 10.1371/journal.pbio.0020391

PubMed Abstract | CrossRef Full Text | Google Scholar

Baralle, M., Pastor, T., Bussani, E., and Pagani, F. (2008). Influence of Friedreich ataxia GAA noncoding repeat expansions on pre-mRNA processing. Am. J. Hum. Genet. 83, 77–88. doi: 10.1016/j.ajhg.2008.06.018

PubMed Abstract | CrossRef Full Text | Google Scholar

Beck, C. R., Collier, P., Macfarlane, C., Malig, M., Kidd, J. M., Eichler, E. E., et al. (2010). LINE-1 retrotransposition activity in human genomes. Cell 141, 1159–1170. doi: 10.1016/j.cell.2010.05.021

PubMed Abstract | CrossRef Full Text | Google Scholar

Belancio, V. P., Hedges, D. J., and Deininger, P. (2008). Mammalian non-LTR retrotransposons: for better or worse, in sickness and in health. Genome Res. 18, 343–358. doi: 10.1101/gr.5558208

PubMed Abstract | CrossRef Full Text | Google Scholar

Berke, I. C., and Modis, Y. (2012). MDA5 cooperatively forms dimers and ATP-sensitive filaments upon binding double-stranded RNA. EMBO J. 31, 1714–1726. doi: 10.1038/emboj.2012.19

PubMed Abstract | CrossRef Full Text | Google Scholar

Bonifati, V., Rizzu, P., van Baren, M. J., Schaap, O., Breedveld, G. J., Krieger, E., et al. (2003). Mutations in the DJ-1 gene associated with autosomal recessive early-onset parkinsonism. Science 299, 256–259. doi: 10.1126/science.1077209

PubMed Abstract | CrossRef Full Text | Google Scholar

Boone, P. M., Liu, P., Zhang, F., Carvalho, C. M., Towne, C. F., Batish, S. D., et al. (2011). Alu-specific microhomology-mediated deletion of the final exon of SPAST in three unrelated subjects with hereditary spastic paraplegia. Genet. Med. 13, 582–592. doi: 10.1097/GIM.0b013e3182106775

PubMed Abstract | CrossRef Full Text | Google Scholar

Boone, P. M., Yuan, B., Campbell, I. M., Scull, J. C., Withers, M. A., Baggett, B. C., et al. (2014). The Alu-rich genomic architecture of SPAST predisposes to diverse and functionally distinct disease-associated CNV alleles. Am. J. Hum. Genet. 95, 143–161. doi: 10.1016/j.ajhg.2014.06.014

PubMed Abstract | CrossRef Full Text | Google Scholar

Brouha, B., Schustak, J., Badge, R. M., Lutz-Prigge, S., Farley, A. H., Moran, J. V., et al. (2003). Hot L1s account for the bulk of retrotransposition in the human population. Proc. Natl. Acad. Sci. U.S.A. 100, 5280–5285. doi: 10.1073/pnas.0831042100

PubMed Abstract | CrossRef Full Text | Google Scholar

Callinan, P. A., Wang, J., Herke, S. W., Garber, R. K., Liang, P., and Batzer, M. A. (2005). Alu retrotransposition-mediated deletion. J. Mol. Biol. 348, 791–800. doi: 10.1016/j.jmb.2005.02.043

PubMed Abstract | CrossRef Full Text | Google Scholar

Capshew, C. R., Dusenbury, K. L., and Hundley, H. A. (2012). Inverted Alu dsRNA structures do not affect localization but can alter translation efficiency of human mRNAs independent of RNA editing. Nucleic Acids Res. 40, 8637–8645. doi: 10.1093/nar/gks590

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, J. M., Stenson, P. D., Cooper, D. N., and Férec, C. (2005). A systematic analysis of LINE-1 endonuclease-dependent retrotranspositional events causing human genetic disease. Hum. Genet. 117, 411–427. doi: 10.1007/s00439-005-1321-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Chung, H., Calis, J. J. A., Wu, X., Sun, T., Yu, Y., Sarbanes, S. L., et al. (2018). Human ADAR1 prevents endogenous RNA from triggering translational shutdown. Cell 172, 811–824. doi: 10.1016/j.cell.2017.12.038

PubMed Abstract | CrossRef Full Text | Google Scholar

Clark, R. M., Dalgliesh, G. K., Endres, D., Gomez, M., Taylor, J., and Bidichandani, S. I. (2004). Expansion of GAA triplet repeats in the human genome: unique origin of the FRDA mutation at the center of an Alu. Genomics 83, 373–383. doi: 10.1016/j.ygeno.2003.09.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Conceição Pereira, M., Loureiro, J. L., Pinto-Basto, J., Brandão, E., Margarida Lopes, A., Neves, G., et al. (2012). Alu elements mediate large SPG11 gene rearrangements: further spatacsin mutations. Genet. Med. 14, 143–151. doi: 10.1038/gim.2011.7

PubMed Abstract | CrossRef Full Text | Google Scholar

Cordaux, R., and Batzer, M. A. (2009). The impact of retrotransposons on human genome evolution. Nat. Rev. Genet. 10, 691–703. doi: 10.1038/nrg2640

PubMed Abstract | CrossRef Full Text | Google Scholar

Coufal, N. G., Garcia-Perez, J. L., Peng, G. E., Marchetto, M. C., Muotri, A. R., Mu, Y., et al. (2011). Ataxia telangiectasia mutated (ATM) modulates long interspersed element-1 (L1) retrotransposition in human neural stem cells. Proc. Natl. Acad. Sci. U.S.A. 108, 20382–20387. doi: 10.1073/pnas.1100273108

PubMed Abstract | CrossRef Full Text | Google Scholar

Coufal, N. G., Garcia-Perez, J. L., Peng, G. E., Yeo, G. W., Mu, Y., Lovci, M. T., et al. (2009). L1 retrotransposition in human neural progenitor cells. Nature 460, 1127–1131. doi: 10.1038/nature08248

PubMed Abstract | CrossRef Full Text | Google Scholar

Dewannieux, M., Esnault, C., and Heidmann, T. (2003). LINE-mediated retrotransposition of marked Alu sequences. Nat. Genet. 35, 41–48. doi: 10.1038/ng1223

PubMed Abstract | CrossRef Full Text | Google Scholar

Ebihara, M., Ohba, H., Ohno, S. I., and Yoshikawa, T. (2002). Genomic organization and promoter analysis of the human nicotinic acetylcholine receptor alpha6 subunit (CHNRA6) gene: Alu and other elements direct transcriptional repression. Gene 298, 101–108. doi: 10.1016/S0378-1119(02)00925-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Elbarbary, R. A., Lucas, B. A., and Maquat, L. E. (2016). Retrotransposons as regulators of gene expression. Science 351:aac7247. doi: 10.1126/science.aac7247

PubMed Abstract | CrossRef Full Text | Google Scholar

Erez, A., Patel, A. J., Wang, X., Xia, Z., Bhatt, S. S., Craigen, W., et al. (2009). Alu-specific microhomology-mediated deletions in CDKL5 in females with early-onset seizure disorder. Neurogenetics 10, 363–369. doi: 10.1007/s10048-009-0195-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Erwin, J. A., Marchetto, M. C., and Gage, F. H. (2014). Mobile DNA elements in the generation of diversity and complexity in the brain. Nat. Rev. Neurosci. 15, 497–506. doi: 10.1038/nrn3730

PubMed Abstract | CrossRef Full Text | Google Scholar

Erwin, J. A., Paquola, A. C. M., Singer, T., Gallina, I., Novotny, M., Quayle, C., et al. (2016). L1-associated genomic regions are deleted in somatic cells of the healthy human brain. Nat. Neurosci. 19, 1583–1591. doi: 10.1038/nn.4388

PubMed Abstract | CrossRef Full Text | Google Scholar

Evrony, G. D., Cai, X., Lee, E., Hills, L. B., Elhosary, P. C., Lehmann, H. S., et al. (2012). Single-neuron sequencing analysis of L1 retrotransposition and somatic mutation in the human brain. Cell 151, 483–496. doi: 10.1016/j.cell.2012.09.035

PubMed Abstract | CrossRef Full Text | Google Scholar

Faulkner, G. J., Kimura, Y., Daub, C. O., Wani, S., Plessy, C., Irvine, K. M., et al. (2009). The regulated retrotransposon transcriptome of mammalian cells. Nat. Genet. 41, 563–571. doi: 10.1038/ng.368

PubMed Abstract | CrossRef Full Text | Google Scholar

Gaisler-Salomon, I., Kravitz, E., Feiler, Y., Safran, M., Biegon, A., Amariglio, N., et al. (2014). Hippocampus-specific deficiency in RNA editing of GluA2 in Alzheimer's disease. Neurobiol. Aging 35, 1785–1791. doi: 10.1016/j.neurobiolaging.2014.02.018

PubMed Abstract | CrossRef Full Text | Google Scholar

Galatro, T. F., Vainchtein, I. D., Brouwer, N., Boddeke, E. W. G. M., and Eggen, B. J. L. (2017). Isolation of microglia and immune infiltrates from mouse and primate central nervous system. Methods Mol. Biol. 1559, 333–342. doi: 10.1007/978-1-4939-6786-5_23

PubMed Abstract | CrossRef Full Text | Google Scholar

Gantier, M. P., and Williams, B. R. (2007). The response of mammalian cells to double-stranded RNA. Cytokine Growth Factor Rev. 18, 363–371. doi: 10.1016/j.cytogfr.2007.06.016

PubMed Abstract | CrossRef Full Text | Google Scholar

George, C. X., Ramaswami, G., Li, J. B., and Samuel, C. E. (2016). Editing of cellular self-RNAs by adenosine deaminase ADAR1 suppresses innate immune stress responses. J. Biol. Chem. 291, 6158–6168. doi: 10.1074/jbc.M115.709014

PubMed Abstract | CrossRef Full Text | Google Scholar

Gerber, A., O'Connell, M. A., and Keller, W. (1997). Two forms of human double-stranded RNA-specific editase 1 (hRED1) generated by the insertion of an Alu cassette. RNA 3, 453–463.

PubMed Abstract | Google Scholar

Glass, C. K., Saijo, K., Winner, B., Marchetto, M. C., and Gage, F. H. (2010). Mechanisms underlying inflammation in neurodegeneration. Cell 140, 918–934. doi: 10.1016/j.cell.2010.02.016

PubMed Abstract | CrossRef Full Text | Google Scholar

Graus, F., Titulaer, M. J., Balu, R., Benseler, S., Bien, C. G., Cellucci, T., et al. (2016). A clinical approach to diagnosis of autoimmune encephalitis. Lancet Neurol. 15, 391–404. doi: 10.1016/S1474-4422(15)00401-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Hancks, D. C., and Kazazian, H. H. Jr. (2012). Active human retrotransposons: variation and disease. Curr. Opin. Genet. Dev. 22, 191–203. doi: 10.1016/j.gde.2012.02.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Heneka, M. T., Golenbock, D. T., and Latz, E. (2015). Innate immunity in Alzheimer's disease. Nat. Immunol. 16, 229–236. doi: 10.1038/ni.3102

PubMed Abstract | CrossRef Full Text | Google Scholar

Heneka, M. T., Kummer, M. P., Stutz, A., Delekate, A., Schwartz, S., Saecker, A., et al. (2013). NLRP3 is activated in Alzheimer's disease and contributes to pathology in APP/PS1 mice. Nature 493, 674–678. doi: 10.1038/nature11729

PubMed Abstract | CrossRef Full Text | Google Scholar

Hickman, S. E., Kingery, N. D., Ohsumi, T. K., Borowsky, M. L., Wang, L. C., Means, T. K., et al. (2013). The microglial sensome revealed by direct RNA sequencing. Nat. Neurosci. 16, 1896–1905. doi: 10.1038/nn.3554

PubMed Abstract | CrossRef Full Text | Google Scholar

Hideyama, T., Yamashita, T., Aizawa, H., Tsuji, S., Kakita, A., Takahashi, H., et al. (2012). Profound downregulation of the RNA editing enzyme ADAR2 in ALS spinal motor neurons. Neurobiol. Dis. 45, 1121–1128. doi: 10.1016/j.nbd.2011.12.033

PubMed Abstract | CrossRef Full Text | Google Scholar

Iida, A., Hosono, N., Sano, M., Kamei, T., Oshima, S., Tokuda, T., et al. (2012). Novel deletion mutations of OPTN in amyotrophic lateral sclerosis in Japanese. Neurobiol. Aging 33, 1843.e19–e24. doi: 10.1016/j.neurobiolaging.2011.12.037

PubMed Abstract | CrossRef Full Text | Google Scholar

Ivanov, A., Memczak, S., Wyler, E., Torti, F., Porath, H. T., Orejuela, M. R., et al. (2015). Analysis of intron sequences reveals hallmarks of circular RNA biogenesis in animals. Cell Rep. 10, 170–177. doi: 10.1016/j.celrep.2014.12.019

PubMed Abstract | CrossRef Full Text | Google Scholar

Jahic, A., Erichsen, A. K., Deufel, T., Tallaksen, C. M., and Beetz, C. (2016). A polymorphic Alu insertion that mediates distinct disease-associated deletions. Eur. J. Hum. Genet. 24, 1371–1374. doi: 10.1038/ejhg.2016.20

PubMed Abstract | CrossRef Full Text | Google Scholar

Johann, S., Heitzer, M., Kanagaratnam, M., Goswami, A., Rizo, T., Weis, J., et al. (2015). NLRP3 inflammasome is expressed by astrocytes in the SOD1 mouse model of ALS and in human sporadic ALS patients. Glia 63, 2260–2273. doi: 10.1002/glia.22891

PubMed Abstract | CrossRef Full Text | Google Scholar

Kaer, K., and Speek, M. (2013). Retroelements in human disease. Gene 518, 231–241. doi: 10.1016/j.gene.2013.01.008

PubMed Abstract | CrossRef Full Text | Google Scholar

Kawahara, Y., Ito, K., Sun, H., Aizawa, H., Kanazawa, I., and Kwak, S. (2004). Glutamate receptors: RNA editing and death of motor neurons. Nature 427:801. doi: 10.1038/427801a

PubMed Abstract | CrossRef Full Text | Google Scholar

Kazazian, H. H. Jr, and Moran, J. V. (2017). Mobile DNA in health and disease. N. Engl. J. Med. 377, 361–370. doi: 10.1056/NEJMra1510092

PubMed Abstract | CrossRef Full Text | Google Scholar

Kazazian, H. H. Jr., Wong, C., Youssoufian, H., Scott, A. F., Phillips, D. G., and Antonarakis, S. E. (1988). Haemophilia A resulting from de novo insertion of L1 sequences represents a novel mechanism for mutation in man. Nature 332, 164–166. doi: 10.1038/332164a0

PubMed Abstract | CrossRef Full Text | Google Scholar

Khermesh, K., D'Erchia, A. M., Barak, M., Annese, A., Wachtel, C., Levanon, E. Y., et al. (2016). Reduced levels of protein recoding by A-to-I RNA editing in Alzheimer's disease. RNA 22, 290–302. doi: 10.1261/rna.054627.115

PubMed Abstract | CrossRef Full Text | Google Scholar

Krestel, H., Raffel, S., von Lehe, M., Jagella, C., Moskau-Hartmann, S., Becker, A., et al. (2013). Differences between RNA and DNA due to RNA editing in temporal lobe epilepsy. Neurobiol. Dis. 56, 66–73. doi: 10.1016/j.nbd.2013.04.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Krug, L., Chatterjee, N., Borges-Monroy, R., Hearn, S., Liao, W. W., Morrill, K., et al. (2017). Retrotransposon activation contributes to neurodegeneration in a Drosophila TDP-43 model of ALS. PLoS Genet. 13:e1006635. doi: 10.1371/journal.pgen.1006635

PubMed Abstract | CrossRef Full Text | Google Scholar

Kutsche, K., Ressler, B., Katzera, H.-G., Orth, U., Gillessen-Kaesbach, G., Morlot, S., et al. (2002). Characterization of breakpoint sequences of five rearrangements in L1CAM and ABCD1 (ALD) Genes. Hum. Mutat. 19, 526–535. doi: 10.1002/humu.10072

PubMed Abstract | CrossRef Full Text | Google Scholar

Lampson, G. P., Tytell, A. A., Field, A. K., Nemes, M. M., and Hilleman, M. R. (1967). Inducers of interferon and host resistance. I. Double-stranded RNA from extracts of Penicillium funiculosum. Proc. Natl. Acad. Sci. U.S.A. 58, 782–789. doi: 10.1073/pnas.58.2.782

PubMed Abstract | CrossRef Full Text | Google Scholar

Lander, E. S., Linton, L. M., Birren, B., Nusbaum, C., Zody, M. C., Baldwin, J., et al. (2001). International human genome sequencing, consortium. Nature 409, 860–921. doi: 10.1038/35057062

PubMed Abstract | CrossRef Full Text

Larsen, P. A., Hunnicutt, K. E., Larsen, R. J., Yoder, A. D., and Saunders, A. M. (2018). Warning SINEs: alu elements, evolution of the human brain, and the spectrum of neurological disease. Chromosome Res. 26, 93–111. doi: 10.1007/s10577-018-9573-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Le Guennec, K., Veugelen, S., Quenez, O., Szaruga, M., Rousseau, S., Nicolas, G., et al. (2017). Deletion of exons 9 and 10 of the Presenilin 1 gene in a patient with Early-onset Alzheimer disease generates longer amyloid seeds. Neurobiol. Dis. 104, 97–103. doi: 10.1016/j.nbd.2017.04.020

PubMed Abstract | CrossRef Full Text | Google Scholar

Levanon, E. Y., Eisenberg, E., Yelin, R., Nemzer, S., Hallegger, M., Shemesh, R., et al. (2004). Systematic identification of abundant A-to-I editing sites in the human transcriptome. Nat. Biotechnol. 22, 1001–1005. doi: 10.1038/nbt996

PubMed Abstract | CrossRef Full Text | Google Scholar

Lev-Maor, G., Sorek, R., Levanon, E. Y., Paz, N., Eisenberg, E., and Ast, G. (2007). RNA-editing-mediated exon evolution. Genome Biol. 8:R29. doi: 10.1186/gb-2007-8-2-r29

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, W., Jin, Y., Prazak, L., Hammell, M., and Dubnau, J. (2012). Transposable elements in TDP-43-mediated neurodegenerative disorders. PLoS ONE 7:e44099. doi: 10.1371/journal.pone.0044099

PubMed Abstract | CrossRef Full Text | Google Scholar

Liddicoat, B. J., Piskol, R., Chalk, A. M., Ramaswami, G., Higuchi, M., Hartner, J. C., et al. (2015). RNA editing by ADAR1 prevents MDA5 sensing of endogenous dsRNA as nonself. Science 349, 1115–1120. doi: 10.1126/science.aac7049

PubMed Abstract | CrossRef Full Text | Google Scholar

López, E., Casasnovas, C., Giménez, J., Matilla-Dueñas, A., Sánchez, I., and Volpini, V. (2015). Characterization of Alu and recombination-associated motifs mediating a large homozygous SPG7 gene rearrangement causing hereditary spastic paraplegia. Neurogenetics 16, 97–105. doi: 10.1007/s10048-014-0429-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Mamik, M. M., and Power, C. (2017). Inflammasomes in neurological diseases: emerging pathogenic and therapeutic concepts. Brain 140, 2273–2285. doi: 10.1093/brain/awx133

PubMed Abstract | CrossRef Full Text | Google Scholar

Maruyama, H., Morino, H., Ito, H., Izumi, Y., Kato, H., Watanabe, Y., et al. (2010). Mutations of optineurin in amyotrophic lateral sclerosis. Nature 465, 223–226. doi: 10.1038/nature08971

PubMed Abstract | CrossRef Full Text | Google Scholar

McConnell, M. J., Lindberg, M. R., Brennand, K. J., Piper, J. C., Voet, T., Cowing-Zitron, C., et al. (2013). Mosaic copy number variation in human neurons. Science 342, 632–637. doi: 10.1126/science.1243472

PubMed Abstract | CrossRef Full Text | Google Scholar

Mefford, H. C., Zemel, M., Geraghty, E., Cook, J., Clayton, P. T., Paul, K., et al. (2015). Intragenic deletions of ALDH7A1 in pyridoxine-dependent epilepsy caused by Alu-Alu recombination. Neurology 85, 756–762. doi: 10.1212/WNL.0000000000001883

PubMed Abstract | CrossRef Full Text | Google Scholar

Mehler, M. F. (2008). Epigenetic principles and mechanisms underlying nervous system functions in health and disease. Prog Neurobiol. 86, 305–341. doi: 10.1016/j.pneurobio.2008.10.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Mehler, M. F., and Mattick, J. S. (2007). Noncoding RNAs and RNA editing in brain development, functional diversification, and neurological disease. Physiol. Rev. 87, 799–823. doi: 10.1152/physrev.00036.2006

PubMed Abstract | CrossRef Full Text | Google Scholar

Meier, J. C., Kankowski, S., Krestel, H., and Hetsch, F. (2016). RNA editing-systemic relevance and clue to disease mechanisms? Front. Mol. Neurosci. 9:124. doi: 10.3389/fnmol.2016.00124

PubMed Abstract | CrossRef Full Text | Google Scholar

Mills, R. E., Bennett, E. A., Iskow, R. C., and Devine, S. E. (2007). Which transposable elements are active in the human genome? Trends Genet. 23, 183–191. doi: 10.1016/j.tig.2007.02.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Möller-Krull, M., Zermann, A., Roos, C., Brosius, J., and Schmitz, J. (2008). Beyond DNA: RNA editing and steps toward Alu exonization in primates. J. Mol. Biol. 382, 601–609. doi: 10.1016/j.jmb.2008.07.014

PubMed Abstract | CrossRef Full Text | Google Scholar

Monticelli, A., Giacchetti, M., De Biase, I., Pianese, L., Turano, M., Pandolfo, M., et al. (2004). New clues on the origin of the Friedreich ataxia expanded alleles from the analysis of new polymorphisms closely linked to the mutation. Hum. Genet. 114, 458–463. doi: 10.1007/s00439-004-1089-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Morais, S., Bastos-Ferreira, R., Sequeiros, J., and Alonso, I. (2016). Genomic mechanisms underlying PARK2 large deletions identified in a cohort of patients with PD. Neurol. Genet. 2:e73. doi: 10.1212/NXG.0000000000000073

PubMed Abstract | CrossRef Full Text | Google Scholar

Mu, X., Ahmad, S., and Hur, S. (2016). Endogenous retroelements and the host innate immune sensors. Adv. Immunol. 132, 47–69. doi: 10.1016/bs.ai.2016.07.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Muotri, A. R., Marchetto, M. C., Coufal, N. G., Oefner, R., Yeo, G., Nakashima, K., et al. (2010). L1 retrotransposition in neurons is modulated by MeCP2. Nature 468, 443–446. doi: 10.1038/nature09544

PubMed Abstract | CrossRef Full Text | Google Scholar

Neumann, M., Sampathu, D. M., Kwong, L. K., Truax, A. C., Micsenyi, M. C., Chou, T. T., et al. (2006). Ubiquitinated TDP-43 in frontotemporal lobar degeneration and amyotrophic lateral sclerosis. Science 314, 130–133. doi: 10.1126/science.1134108

PubMed Abstract | CrossRef Full Text | Google Scholar

Nishikura, K. (2016). A-to-I editing of coding and non-coding RNAs by ADARs. Nat. Rev. Mol. Cell Biol. 17, 83–96. doi: 10.1038/nrm.2015.4

PubMed Abstract | CrossRef Full Text | Google Scholar

Orecchini, E., Doria, M., Antonioni, A., Galardi, S., Ciafrè, S. A., Frassinelli, L., et al. (2017a). ADAR1 restricts LINE-1 retrotransposition. Nucleic Acids Res. 45, 155–168. doi: 10.1093/nar/gkw834

PubMed Abstract | CrossRef Full Text | Google Scholar

Orecchini, E., Frassinelli, L., and Michienzi, A. (2017b). Restricting retrotransposons: ADAR1 is another guardian of the human genome. RNA Biol. 14, 1485–1491. doi: 10.1080/15476286.2017.1341033

PubMed Abstract | CrossRef Full Text | Google Scholar

Ostertag, E. M., and Kazazian, H. H. Jr. (2001). Biology of mammalian L1 retrotransposons. Annu. Rev. Genet. 35, 501–538. doi: 10.1146/annurev.genet.35.102401.091032

PubMed Abstract | CrossRef Full Text | Google Scholar

Ottaviani, D., LeCain, M., and Sheer, D. (2014). The role of microhomology in genomic structural variation. Trends Genet. 30, 85–94. doi: 10.1016/j.tig.2014.01.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Pagani, F., Buratti, E., Stuani, C., Bendix, R., Dörk, T., and Baralle, F. E. (2002). A new type of mutation causes a splicing defect in ATM. Nat. Genet. 30, 426–429. doi: 10.1038/ng858

PubMed Abstract | CrossRef Full Text | Google Scholar

Pastor, T., and Pagani, F. (2011). Interaction of hnRNPA1/A2 and DAZAP1 with an Alu-derived intronic splicing enhancer regulates ATM aberrant splicing. PLoS ONE 6:e23349. doi: 10.1371/journal.pone.0023349

PubMed Abstract | CrossRef Full Text | Google Scholar

Pastor, T., Talotti, G., Lewandowska, M., and Pagani, F. (2009). An Alu-derived intronic splicing enhancer facilitates intronic processing and modulates aberrant splicing in ATM. Nucleic Acids Res. 37, 7258–7267. doi: 10.1093/nar/gkp778

PubMed Abstract | CrossRef Full Text | Google Scholar

Perrat, P. N., DasGupta, S., Wang, J., Theurkauf, W., Wang, Z., Rosbash, M., et al. (2013). Transposition-driven genomic heterogeneity in the drosophila brain. Science 340, 91–95. doi: 10.1126/science.1231965

PubMed Abstract | CrossRef Full Text | Google Scholar

Polymenidou, M., Lagier-Tourenne, C., Hutt, K. R., Huelga, S. C., Moran, J., Liang, T. Y., et al. (2011). Long pre-mRNA depletion and RNA missplicing contribute to neuronal vulnerability from loss of TDP-43. Nat. Neurosci. 14, 459–468. doi: 10.1038/nn.2779

PubMed Abstract | CrossRef Full Text | Google Scholar

Pottier, C., Bieniek, K. F., Finch, N., van de Vorst, M., Baker, M., Perkersen, R., et al. (2015). Whole-genome sequencing reveals important role for TBK1 and OPTN mutations in frontotemporal lobar degeneration without motor neuron disease. Acta Neuropathol. 130, 77–92. doi: 10.1007/s00401-015-1436-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Prudencio, M., Gonzales, P. K., Cook, C. N., Gendron, T. F., Daughrity, L. M., Song, Y., et al. (2017). Repetitive element transcripts are elevated in the brain of C9orf72 ALS/FTLD patients. Hum. Mol. Genet. 26, 3421–3431. doi: 10.1093/hmg/ddx233

PubMed Abstract | CrossRef Full Text | Google Scholar

Rice, G. I., Kasher, P. R., Forte, G. M., Mannion, N. M., Greenwood, S. M., Szynkiewicz, M., et al. (2012). Mutations in ADAR1 cause Aicardi-Goutières syndrome associated with a type I interferon signature. Nat. Genet. 44, 1243–1248. doi: 10.1038/ng.2414

PubMed Abstract | CrossRef Full Text | Google Scholar

Richardson, S. R., Morell, S., and Faulkner, G. J. (2014). L1 retrotransposons and somatic mosaicism in the brain. Annu. Rev. Genet. 48, 1–27. doi: 10.1146/annurev-genet-120213-092412

PubMed Abstract | CrossRef Full Text | Google Scholar

Rosenthal, J. J., and Seeburg, P. H. (2012). A-to-I RNA editing: effects on proteins key to neural excitability. Neuron 74, 432–439. doi: 10.1016/j.neuron.2012.04.010

PubMed Abstract | CrossRef Full Text | Google Scholar

Rybak-Wolf, A., Stottmeister, C., Glazar, P., Jens, M., Pino, N., Giusti, S., et al. (2015). Circular RNAs in the mammalian brain are highly abundant, conserved, and dynamically expressed. Mol. Cell 58, 870–885. doi: 10.1016/j.molcel.2015.03.027

PubMed Abstract | CrossRef Full Text | Google Scholar

Saito, K., and Siomi, M. C. (2010). Small RNA-mediated quiescence of transposable elements in animals. Dev. Cell 19, 687–697. doi: 10.1016/j.devcel.2010.10.011

PubMed Abstract | CrossRef Full Text | Google Scholar

Saldi, T. K., Ash, P. E., Wilson, G., Gonzales, P., Garrido-Lecca, A., Roberts, C. M., et al. (2014). TDP-1, the Caenorhabditis elegans ortholog of TDP-43, limits the accumulation of double-stranded RNA. EMBO J. 33, 2947–2966. doi: 10.15252/embj.201488740

PubMed Abstract | CrossRef Full Text | Google Scholar

Savva, Y. A., Jepson, J. E., Chang, Y. J., Whitaker, R., Jones, B. C., St Laurent, G., et al. (2013). RNA editing regulates transposon-mediated heterochromatic gene silencing. Nat. Commun. 4:2745. doi: 10.1038/ncomms3745

PubMed Abstract | CrossRef Full Text | Google Scholar

Sela, N., Mersch, B., Gal-Mark, N., Lev-Maor, G., Hotz-Wagenblatt, A., and Ast, G. (2007). Comparative analysis of transposed element insertion within human and mouse genomes reveals Alu's unique role in shaping the human transcriptome. Genome Biol. 8:R127 doi: 10.1186/gb-2007-8-6-r127

PubMed Abstract | CrossRef Full Text | Google Scholar

Shen, M. R., Brosius, J., and Deininger, P. L. (1997). BC1 RNA, the transcript from a master gene for ID element amplification, is able to prime its own reverse transcription. Nucleic Acids Res. 25, 1641–1648. doi: 10.1093/nar/25.8.1641

PubMed Abstract | CrossRef Full Text | Google Scholar

Shen, S., Lin, L., Cai, J. J., Jiang, P., Kenkel, E. J., Stroik, M. R., et al. (2011). Widespread establishment and regulatory impact of Alu exons in human genes. Proc. Natl. Acad. Sci. U.S.A. 108, 2837–2842. doi: 10.1073/pnas.1012834108

PubMed Abstract | CrossRef Full Text | Google Scholar

Tan, M. H., Li, Q., Shanmugam, R., Piskol, R., Kohler, J., Young, A. N., et al. (2017). Dynamic landscape and regulation of RNA editing in mammals. Nature 550, 249–254. doi: 10.1038/nature24041

PubMed Abstract | CrossRef Full Text | Google Scholar

Tollervey, J. R., Curk, T., Rogelj, B., Briese, M., Cereda, M., Kayikci, M., et al. (2011). Characterizing the RNA targets and position-dependent splicing regulation by TDP-43. Nat. Neurosci. 14, 452–458. doi: 10.1038/nn.2778

PubMed Abstract | CrossRef Full Text | Google Scholar

Upton, K. R., Gerhardt, D. J., Jesuadian, J. S., Richardson, S. R., Sanchez-Luque, F. J., Bodea, G. O., et al. (2015). Ubiquitous L1 mosaicism in hippocampal neurons. Cell 161, 228–239. doi: 10.1016/j.cell.2015.03.026

PubMed Abstract | CrossRef Full Text | Google Scholar

Versteeg, R., van Schaik, B. D. C., van Batenburg, M. F., Roos, M., Monajemi, R., Caron, H., et al. (2003). The human transcriptome map reveals extremes in gene density, intron length, GC content, and repeat pattern for domains of highly and weakly expressed genes. Genome Res. 13, 1998–2004. doi: 10.1101/gr.1649303

PubMed Abstract | CrossRef Full Text | Google Scholar

Vezzani, A., Aronica, E., Mazarati, A., and Pittman, Q. J. (2013). Epilepsy and brain inflammation. Exp. Neurol. 244, 11–21. doi: 10.1016/j.expneurol.2011.09.033

PubMed Abstract | CrossRef Full Text | Google Scholar

Vezzani, A., French, J., Bartfai, T., and Baram, T. Z. (2011). The role of inflammation in epilepsy. Nat. Rev. Neurol. 7, 31–40. doi: 10.1038/nrneurol.2010.178

PubMed Abstract | CrossRef Full Text | Google Scholar

Warf, M. B., Shepherd, B. A., Johnson, W. E., and Bass, B. L. (2012). Effects of ADARs on small RNA processing pathways in C. elegans. Genome Res. 22, 1488–1498. doi: 10.1101/gr.134841.111

PubMed Abstract | CrossRef Full Text | Google Scholar

Whitton, P. S. (2007). Inflammation as a causative factor in the aetiology of Parkinson's disease. Br. J. Pharmacol. 150, 963–976. doi: 10.1038/sj.bjp.0707167

PubMed Abstract | CrossRef Full Text | Google Scholar

Wilusz, J. E. (2015). Repetitive elements regulate circular RNA biogenesis. Mob. Genet. Elements 5, 1–7. doi: 10.1080/2159256X.2015.1045682

PubMed Abstract | CrossRef Full Text | Google Scholar

Wu, D., Lamm, A. T., and Fire, A. (2011). Competition between ADAR and RNAi pathways for an extensive class of RNA targets. Nat. Struct. Mol. Biol. 18, 1094–1101. doi: 10.1038/nsmb.2129

PubMed Abstract | CrossRef Full Text | Google Scholar

Yamashita, T., Akamatsu, M., and Kwak, S. (2017). Altered intracellular milieu of ADAR2-deficient motor neurons in amyotrophic lateral sclerosis. Genes (Basel). 8:E60. doi: 10.3390/genes8020060

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, F., Gu, W., Hurles, M. E., and Lupski, J. R. (2009). Copy number variation in human health, disease, and evolution. Annu. Rev. Genomics Hum. Genet. 10, 451–481. doi: 10.1146/annurev.genom.9.081307.164217

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhao, W., Beers, D. R., Bell, S., Wand, J., Wen, S., Baloh, R. H., et al. (2015). TDP-43 activates microglia through NF-κB and NLRP3 inflammasome. Exp. Neurol. 273, 24–35. doi: 10.1016/j.expneurol.2015.07.019

PubMed Abstract | CrossRef Full Text | Google Scholar

Zou, Z. Y., Liu, C. Y., Che, C. H., and Huang, H. P. (2016). Toward precision medicine in amyotrophic lateral sclerosis. Ann. Transl. Med. 4:27. doi: 10.3978/j.issn.2305-5839.2016.01.16

PubMed Abstract | CrossRef Full Text | Google Scholar