Skip to main content

ORIGINAL RESEARCH article

Front. Genome Ed., 08 March 2023
Sec. Genome Editing in Blood Disorders
This article is part of the Research Topic Methods and Delivery Strategies for Genome Editing in Blood Disorders View all 7 articles

High-efficiency editing in hematopoietic stem cells and the HUDEP-2 cell line based on in vitro mRNA synthesis

  • 1Department of Molecular Genetics Thalassemia, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus
  • 2Research and Development Department, Central Blood Institute, Blood Service Headquarters Japanese Red Cross Society, Tokyo, Japan
  • 3Cell Engineering Division, RIKEN BioResource Research Center, Tsukuba, Japan
  • 4Thalassaemia Centre, State Health Services Organisation of Cyprus, Nicosia, Cyprus
  • 5Thalassaemia Centre, State Health Services Organisation of Cyprus, Larnaca, Cyprus
  • 6Institute for Transfusion Medicine and Gene Therapy, Medical Center—University of Freiburg, Freiburg, Germany
  • 7Center for Chronic Immunodeficiency (CCI), Faculty of Medicine, University of Freiburg, Freiburg, Germany

Introduction: Genome editing tools, such as CRISPR/Cas, TALE nucleases and, more recently, double-strand-break-independent editors, have been successfully used for gene therapy and reverse genetics. Among various challenges in the field, tolerable and efficient delivery of editors to target cells and sites, as well as independence from commercially available tools for flexibility and fast adoption of new editing technology are the most pressing. For many hematopoietic research applications, primary CD34+ cells and the human umbilical cord-derived progenitor erythroid 2 (HUDEP-2) cell line are highly informative substrates and readily accessible for in vitro manipulation. Moreover, ex vivo editing of CD34+ cells has immediate therapeutic relevance. Both cell types are sensitive to standard transfection procedures and reagents, such as lipofection with plasmid DNA, calling for more suitable methodology in order to achieve high efficiency and tolerability of editing with editors of choice. These challenges can be addressed by RNA delivery, either as a mixture of guide RNA and mRNA for CRISRP/Cas-based systems or as a mixture of mRNAs for TALENs. Compared to ribonucleoproteins or proteins, RNA as vector creates flexibility by removing dependence on commercial availability or laborious in-house preparations of novel editor proteins. Compared to DNA, RNA is less toxic and by obviating nuclear transcription and export of mRNA offers faster kinetics and higher editing efficiencies.

Methods: Here, we detail an in vitro transcription protocol based on plasmid DNA templates with the addition of Anti-Reverse Cap Analog (ARCA) using T7 RNA polymerase, and poly (A) tailing using poly (A) polymerase, combined with nucleofection of HUDEP-2 and patient-derived CD34+ cells. Our protocol for RNA-based delivery employs widely available reagents and equipment and can easily be adopted for universal in vitro delivery of genome editing tools.

Results and Discussion: Drawing on a common use case, we employ the protocol to target a β-globin mutation and to reactivate γ-globin expression as two potential therapies for β-hemoglobinopathies, followed by erythroid differentiation and functional analyses. Our protocol allows high editing efficiencies and unimpaired cell viability and differentiation, with scalability, suitability for functional assessment of editing outcomes and high flexibility in the application to different editors.

1 Introduction

In the past two decades, ex vivo genome editing in hematopoietic stem and progenitor cells (HSPCs) has shown promising results, rendering it an ideal therapy approach for many hematological monogenic diseases (Koniali et al., 2021), including even clinical application for the β-hemoglobinopathies, β-thalassemia and sickle cell disease (Frangoul et al., 2021). Progress and relevance of HSPC-based research in advanced therapies and reverse genetics increasingly rely on a fast-expanding arsenal of editing tools (Canver et al., 2015; Patsali et al., 2019b; Zeng et al., 2020; Tucci et al., 2022), so that efficiency, tolerability and versatility of delivery methods are paramount.

The currently most popular editing platforms are the now ubiquitously applied clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated (Cas) protein system, the transcription activator-like effector nucleases (TALENs) and the zinc finger nucleases (ZFNs), all of which in their original form introduce site-specific double-strand breaks (DSBs) as the basis for DNA sequence alterations. The DSBs are mostly resolved by two major DNA-repair mechanisms, the non-homologous end joining (NHEJ) mechanism, resulting in indels, or the precise homology-directed repair (HDR) mechanism in the presence of an HDR donor (Joung and Sander, 2013; Jiang and Doudna, 2017). ZNFs, as the oldest of the three platforms, are based on interdependent transcription factor binding domains (Kim et al., 1996; Urnov et al., 2005). By contrast, TALENs are based on a nucleotide-specific amino-acid code of repeat variable di-residues (RVDs), repurposing the dimeric FokI nuclease also employed in ZFNs (Boch et al., 2009; Moscou and Bogdanove, 2009; Mussolino et al., 2011). Finally, the CRISPR/Cas ribonucleoprotein (RNP) platform has enabled a marked acceleration and expansion of the field of DNA editing since its adaptation for use in eukaryotic cells in 2012 (Jinek et al., 2012). Inarguably, with target recognition based on complementarity of the DNA target to the CRISPR guide RNA (gRNA) and owing to a fast-growing variety of short protospacer-adjacent motif (PAM) sequences hardcoded in the Cas enzyme of choice (Walton et al., 2017; Gasiunas et al., 2020), CRISPR/Cas is presently the go-to platform for most DSB-based DNA editing applications to new targets. However, all DSB-based editing holds inherent risk of genotoxicity, so that several studies demonstrated that creation of DSBs through CRISPR/Cas9 can lead to apoptosis by induction of p53-mediated DNA damage response (Haapaniemi et al., 2018; Ihry et al., 2018), to undesired genomic alterations (large deletions, translocations) (Kosicki et al., 2018) and even chromothripsis (Leibowitz et al., 2021). One means of addressing safety concerns around genome editing is the development of methods to evaluate the safety of CRISPR-based therapies. For example, a recent study by Cromer et al. demonstrated a successful next-generation sequencing (NGS) workflow able to identify low-frequency events in HSPCs and showed that RNP delivery of high-fidelity Cas9 can prevent tumorigenic variants (Cromer et al., 2022). An alternative means of increasing safety is DNA editing without DSB induction.

Most recently, two pioneering CRISPR/Cas-based DSB-independent platforms for genome editing have been developed, which compared to DSB-dependent tools have lowered risk of enriching apoptosis-deficient cell populations and of recombination and indel events (Antoniou et al., 2021). Base editors (BEs) and prime editors (PEs) both aim to minimize DSB events by introducing single-stranded edits and employing nickase activity and local suppression of mismatch repair to encourage efficient DSB-independent double-strand editing. BEs employ chemical modification to catalyze base transition events and presently achieve outstanding editing efficiencies, whereas the larger prime editors (PEs) employ reverse transcription to synthesize a repair template in situ and have higher target and editing versatility. The well-established BEs comprise a nickase Cas9 fused to a deaminase enzyme (Rees and Liu, 2017) and exist in two types, the cytosine base editors (CBEs), which are composed of a cytidine deaminase and are able to convert a cytidine (C) into a thymidine (T) base (Komor et al., 2016), and the adenine base editors (ABE), which are composed of an adenine deaminase and are able to convert an adenine (A) into a guanine (G) base (Gaudelli et al., 2017). In a rapidly progressing expansion of our arsenal of editors, PEs have most recently become the basis for DSB-independent large targeted insertions (Yarnall et al., 2022), and novel glycosylase-based BEs even permit catalysis of C-to-G transversion events (Cao et al., 2022; Sun et al., 2022).

Despite such progress in the development of editing tools, choosing the optimal, i.e., the most affordable, tolerable and effective, delivery method still remains difficult, as different concerns must be considered, including host, target tissue and cell type, route of delivery and physical barriers (Khalil, 2020). Of particular therapeutic interest are HSPCs, which pose a particular challenge for the delivery of genome editing tools, since they are mostly quiescent cells and hard to transfect with plasmid DNA delivered either by lipid-based transfection or by nucleofection (Morgan et al., 2018). As preclinical progress is being made for in vivo delivery (Banskota et al., 2022; Eisenstein et al., 2022; Li et al., 2022), ex vivo electroporation is the clinically applied delivery method of choice for HSPCs (Frangoul et al., 2020), which optimized and applied at laboratory scale as nucleofection may reach exceptional efficiencies and tolerability for HSPCs (Patsali et al., 2019b; Laustsen and Bak, 2019). Nucleofection is possible for DNA, RNA, protein, and RNP cargo. Of these, plasmid DNA despite being most affordable and readily accessible, comes with a few shortcomings particularly in the sensitive HSPCs, such as low editing efficiencies, toxicity, persistence and the risk of insertional mutagenesis. By contrast, protein or RNP delivery allow high editing efficiencies and more transient delivery, but suffer from high cost or laborious in-house production of commercially unavailable editor proteins (Glass et al., 2018). Therefore, mRNA-based delivery of editor protein components for ZFNs, TALENs, and CRISPR/Cas, is a powerful alternative for protein and RNP-based editor platforms, as it is fast, practical and enables high editing efficiencies (Thuille et al., 2020). Compared to proteins or RNPs, RNA as delivery vehicle creates flexibility by removing dependence on commercial or in-house protein production. Compared to DNA, RNA as vector is less toxic, more transient and offers faster kinetics and higher editing efficiencies by obviating nuclear transcription and export of mRNA (Kwon et al., 2018).

Messenger RNA synthesis is achieved by using a bacteriophage RNA polymerase for in vitro transcription from a DNA template harboring corresponding transcriptional control elements. The most frequently used system is that of the T7 phage of E. coli (Beckert and Masquida, 2011), which reliably supports the full-length transcription of RNA spanning several kb. Importantly, most eukaryotic mRNAs carry a 7-methyl guanosine (m7G) cap at the 5′ end and a poly(A) tail at the 3’ end as essential components for efficient translation (Henderson et al., 2021). To mimic natural mRNAs and achieve high levels of translation, the synthetic RNA is therefore capped by co-transcriptional addition of an Anti-Reverse Cap Analog (ARCA) using the T7 RNA polymerase (Jemielity et al., 2003), while a poly(A) tail is added by inclusion of a poly(A) polymerase (Jalkanen et al., 2014; Henderson et al., 2021). Several studies have shown high editing efficiencies with the delivery of genome editing tools as mRNA, e.g., for TALENs (Quintana-Bustamante et al., 2019) or in combination with synthetic gRNA, for CRISPR/Cas9 (Newby et al., 2021) and BEs (Gaudelli et al., 2020), routinely achieving 70%–80% editing efficiency and resulting in low cytotoxicity (Bjurström et al., 2016).

Here, we present a detailed highly efficient in vitro transcription protocol based on the NEB HiScribe™ T7 ARCA mRNA kit with tailing, for production of editors as mRNA from plasmid DNA, and the delivery of these tools in hematopoietic cells, including the human umbilical cord-blood derived erythroid progenitor (HUDEP-2) cell line (Kurita et al., 2013) and patient-derived CD34+ HPSCs, based on nucleofection. To show general applicability, the protocol is used here to demonstrate suitability for both RNP- and protein-based editing platforms, first on BEs, because of their safety, efficiency and ease of application, and second on TALENs, because of their small size, their versatility, their being representative of DSB- and FokI-based editing (Mok et al., 2020; 2022), and their uncomplicated licensing for commercial use (Farooqui, 2019; Ledford, 2022). A well-understood system for the evaluation of new methodology is the β-globin disorders, β-thalassemia and sickle disease (Lederer and Kleanthous, 2015), which can both be corrected either by inducing γ-globin as a therapeutic β-globin ortholog and anti-sickling agent (Fanis et al., 2019; Wu et al., 2019; Ravi et al., 2022) or by addressing the primary mutation (Patsali et al., 2019a; Patsali et al., 2019b). Applying, i) gRNA/mRNA-based delivery for BE technology to induce γ-globin and ii) mRNA-based delivery for TALEN technology to disrupt an intronic β-globin mutation, our analyses indicate that the current protocol allows high editing efficiencies and unimpaired erythroid differentiation, correction of disease parameters and functional analyses.

2 Materials and methods

2.1 Cell culturing

The HUDEP-2 cell line and patient-derived CD34+ HPSCs were used. Peripheral blood samples from patients were acquired by fully informed consent (Cyprus National Bioethics Committee license number ΕΕΒΚ/ΕΠ/2018/52) and CD34+ cells isolated by magnetic-activated cell sorting (Miltenyi Biotec, Bergisch Gladbach, Germany). Both cell types were kept in expansion for approximately 6–7 days and were then subjected to erythroid differentiation, up to 9 days. The CD34+ isolation procedure, expansion and differentiation conditions for both HUDEP-2 and CD34+ cells, and the medium used for both cell types were as described elsewhere (Papasavva et al., 2021).

2.2 Plasmid purification and verification

All plasmids used were either purchased from Addgene (Watertown, MA, United States), specifically pCMV_BE4max (Addgene ID: 112093), or previously published (Patsali et al., 2019b), and retargeting of BEs was achieved by co-transfection with alternative synthetic gRNAs. Purchased plasmids were received as bacterial stabs, which were purified and verified. Briefly, bacteria were spread in an agar plate following overnight (O/N) incubation at 37°C. A single colony was isolated and added in Luria Broth (LB) (Invitrogen, Carlsbad, CA, United States), Supplemented with antibiotic (ampicillin or kanamycin), and was incubated O/N at 37°C. The next day, the plasmids were purified with the Nucleobond Xtra Midi Endotoxin-free plasmid DNA purification kit (Macherey-Nagel GmbH & Co. KG, Düren, Germany) following the manufacturer’s instructions. Approximately 1 μg of each plasmid was used to verify identities by informative restriction digests and comparison with the corresponding plasmid map.

2.3 In vitro transcription

In vitro transcription was performed using the HiScribe™ T7 ARCA mRNA kit (with tailing) (#E2060S) (New England Biolabs, Ipswich, MA, United States), with great care to keep all equipment and reagents sterile and RNase-free. As of this writing, reagent prices per 2 × 105 cells of starting material amount to approximately €20 for BEs and €36–48 for TALENs (depending on the amount of mRNA used), including gRNA for BEs and in vitro transcription reagents (steps included in Sections 2.3.3–Section 2.3.7), but excluding consumable costs for DNA purification, nucleofection, culture and subsequent analyses. Additional costs can be reduced, e.g., by re-use of nucleofection cuvettes and alternative electroporation buffer (Bak et al., 2018).

2.3.1 DNA template preparation

Efficient in vitro transcription using this protocol requires a T7 promoter on a linearized plasmid DNA (or as part of a PCR product). Here, we used approximately 6–10 μg of plasmid DNA for linearization by restriction enzyme digestion downstream of the open reading frame (ORF), as a template for mRNA synthesis. For all constructs, the PmeI enzyme (10 Units/μL) was used in 1× CutSmart Buffer with DNA template and water up to 50 μL total reaction volume. The reaction was incubated O/N at 37°C. Complete linearization is critical for successful mRNA synthesis and was confirmed by loading a small quantity of the sample on a 0.8% agarose gel along with an undigested DNA plasmid.

2.3.2 DNA purification and quantification

The digested DNA template must be highly purified, which can be accomplished by any regular column-based kit or by phenol:chloroform and ethanol extraction. From this step onwards, using RNase-free reagents and, where possible, equipment and plasticware used exclusively for RNA work, will greatly contribute to high RNA yield and quality. For column-based purification we applied the QIAquick PCR purification kit (Qiagen, Hilden, Germany) according to the manufacturer’s instructions with the final elution step in only 30 μL RNase-free water. For phenol:chloroform extraction, 350 μL of RNase-free water was added to the DNA, followed by an equal volume (400 μL) of acid-phenol: chloroform (Sigma-Aldrich, Munich, Germany). After a brief vortex and centrifugation for 5 min at maximum speed (≥17,000 × g) and at room temperature (RT), the upper aqueous phase was transferred to a new tube and an equal volume of chloroform (Sigma-Aldrich, Munich, Germany) was added. After renewed phase separation by centrifugation, the aqueous phase is again transferred in a fresh sterile tube, before ethanol (EtOH) precipitation by addition of 1.2 μL RNA-grade glycogen (Invitrogen, Massachusetts, United States), 0.1 volume 3 M sodium acetate and 2.5 volumes 100% ice-cold EtOH, by a brief vortex and by O/N incubation at −20°C. The next day, the sample was centrifuged for 30 min at maximum speed and 4°C, and the pellet washed in 500 μL ice-cold 75% EtOH by centrifugation for 5 min at 7,500 × g and 4°C. The air-dried pellet was dissolved in 30 μL RNase-free water. A nanodrop spectrophotometer was used to determine DNA concentration and purity. A concentration of 150–200 ng/μL was considered ideal for the following steps, and DNA was considered sufficiently pure with an A260/A280 ratio >1.8 and an A260/A230 ratio in the range of 2.0–2.2.

2.3.3 Standard mRNA synthesis

The reaction was assembled at RT as follows: For BE production, a 20-μL reaction were set up by adding to nuclease-free water, 10 μL 2× ARCA/NTP mix, 1 μg template DNA, and 2 μL T7 RNA polymerase mix. For TALEN production, the same order was followed, but the reaction was scaled up to 30 μL based on 1.5 μg of purified DNA and 3 μL of T7 RNA polymerase mix. Reactions were incubated at 37°C for 45 min, with possibility of subsequent storage of the capped RNA at −20°C for several days.

2.3.4 DNase treatment

The capped RNA was treated to remove any DNA residuals by adding 1/10 of initial reaction volume of DNase I, followed by 37°C incubation, of the resulting 22-μL reaction for 30 min or of the resulting 33-μL reaction for 40 min.

2.3.5 Poly(A) tailing

The tailing reaction was set up at RT in 50 μL final volume as follows: to 20 μL nuclease-free water were added 20 μL of the DNase-treated capped RNA, 5 μL of 10× Poly(A) Polymerase reaction buffer and 5 μL Poly(A) polymerase. For the TALENs, the reaction was scaled up to 100 μL final volume. The reaction was incubated at 37°C for 30 min.

2.3.6 mRNA purification

The final modified mRNA was purified using LiCl precipitation. Briefly, 25 and 50 μL LiCl were added to the 50 and 100 μL tailing reaction, respectively, were vortexed briefly, incubated for 1 h at −20°C, and centrifuged at 4°C for 15 min at maximum speed. The resulting pellet was washed with 500 μL of ice-cold 70% EtOH followed by centrifugation at 4°C for 10 min at maximum speed. After the pellet was air-dried, it was resuspended with RNase-free water (40 μL for BEs or 11 μL for TALENs). The final mRNA was heated at 65°C for 5 min and after evaluating concentration and purity (step 2.3.7.) was aliquoted according to the requirements of the experiment, and stored at −80°C.

2.3.7 Evaluation of mRNA product

Messenger RNA purity and quantity was evaluated by NanoDrop spectrophotometry of a 1:10 dilution. For mRNA, an A260/A280 ratio of >2 and an A260/A230 ratio between 2.0–2.2 indicated acceptable purity for downstream application. Integrity of mRNA was analyzed on a 1% TBE agarose gel along with a ssRNA ladder (New England Biolabs, Ipswich, MA, United States), using RNase-free equipment and reagents. After samples were heat-treated at 65°C for 5 min, they were run with the gel tank on ice, at 90 V/11 cm electrode distance for approximately 30 min before visualization on a Vilber FUSION FX7 bioimager (Vilber Lourmat Sté, Collégien, France).

2.4 Nucleofection

Cells were nucleofected with a 4D-Nucleofector instrument using the P3 Primary Cell 4D-Nucleofector X Kit (both Lonza, Basel, Switzerland) and applying the CA-137 program. Approximately 2–3 × 105 cells were used for each experiment. For the nucleofection of BEs a mixture of in vitro transcribed BE mRNA and a chemically modified gRNA (Synthego, Redwood City, CA, United States) (for gRNA sequences see Supplementary Table S1) was made using a 2:1 ratio (2 μg gRNA:1 μg BE mRNA) as the optimal ratio based on efficiency, toxicity and cost. For the nucleofection of TALENs, a mixture of mRNA encoding left and right TALEN monomer was made (for RVD sequences see Supplementary Table S2) using a 1:1 ratio with 2 μg or 1.5 μg of each construct. The cells were centrifuged at 250 ×g for 5 min and the pellet was resuspended in 20 μL of nucleofection buffer for addition to the corresponding reagent mixture. The resulting final reaction mix was loaded in 16-well Nucleocuvette strips (Lonza, Basel, Switzerland) and transfected in the Nucleofector. Finally, cells were placed in expansion medium in a 24-well plate (SPL Life Sciences, Gyeonggi-do, South Korea). For TALENs, cells were cultured at hypothermic (32°C) conditions for the first 16–24 h post-nucleofection.

2.5 Assessment of DNA editing

2.5.1 Genomic DNA purification and sequencing

Five to seven days post-nucleofection, approximately 3 × 105 cells were collected for DNA analysis. The genomic DNA was extracted from cells using the QIAmp DNA Blood Mini Kit (Qiagen, Hilden, Germany) according to the manufacturer’s instructions, and was amplified by polymerase chain reaction (PCR) using Q5® Hot Start High-Fidelity DNA Polymerase (New England Biolabs, Ipswich, MA, United States). The PCR product was purified using the QIAquick® PCR Purification Kit (Qiagen Hilden, Germany) and was then processed for Sanger sequencing (for primer sequences see Supplementary Table S3) as the basis for the assessment of DNA editing. For cycle sequencing, the BigDye Terminator v1.1 Cycler Sequencing Kit (Applied Biosystems, Waltham, MA, United States) was used according to the manufacturer’s instructions.

2.5.2 Deconvolution of sequence traces

For DNA-level evaluation of base editing, the EditR software (Kluesner et al., 2018) was used. Briefly, Sanger sequencing trace files and gRNA sequence were uploaded to display the area percentage for A|C|G|T base signals at each position of the gRNA and to score deviation from the original sequence as editing. For the evaluation of DSB-based editing, we adopted procedures for the Inference of CRISPR Edits (ICE) software (Conant et al., 2022), in which Sanger sequencing trace files of a control and of edited samples were uploaded, together with an indication of the approximate DSB site, to infer a percentage contribution of different indel events after editing.

2.6 Whole-cell lysate extraction and immunoblotting

Whole-cell lysate for protein analyses was extracted from cells using 20 μL of radioimmunoprecipitation assay (RIPA) lysis buffer (20 mM Tris-HCl pH 7.4, 150 mM NaCl, 1% Nonidet P-40, 0.1% sodium dodecyl sulfate, 0.5% sodium deoxycholate, 5 mM EDTA) per 1 × 106 cells, Supplemented with 100× protease inhibitors (Roche, Basel, Switzerland). After 20 min incubation on ice and centrifugation at 4°C for 10 min at 16,000 ×g, the supernatant was collected and an equal volume of 2× Sample Buffer (5 mL 0.25 M Tris pH 6.8, 2 mL 10% SDS, 2.1 mL glycerol, 0.4 mL β-mercaptoethanol, 0.5 mL 0.1% bromophenol) was added. Proteins were separated by SDS-PAGE gel and were then transferred to a Nitrocellulose Parablot NCP membrane (Macherey-Nagel GmbH & Co. KG, Düren, Germany). After the membrane was blocked with 1% bovine serum albumin (BSA) (Roche, Basel, Switzerland), it was incubated O/N with primary antibody followed by a 1-h incubation with the corresponding horseradish-peroxidase-conjugated secondary antibody (for antibodies see Supplementary Table S4). The banding patterns were covered with chemiluminescence staining buffer (BioRad, Hercules, United States) and visualized with a Vilber FUSION FX7 imaging system (Vilber Lourmat Sté, Collégien, France). For quantification, the Evolution-Capt Edge software (Vilber Lourmat Sté, Collégien, France) was used, and all samples were normalized based on β-actin levels.

2.7 High-performance liquid chromatography (HPLC)

Reversed-phase (RP) HPLC was performed as detailed elsewhere (Loucari et al., 2018), but with cell lysis in 5 mM 1,4-dithiothreitol (DTT) instead of HPLC-grade distilled water.

3 Results

3.1 Production of functional mRNA

Procedures and reagents for mRNA synthesis are detailed in Materials and Methods to facilitate adoption of our procedures. Owing to chemical lability of RNA and the ubiquity of RNases, production and application of synthetic mRNA might be challenging (Wadhwa et al., 2020). This necessitates confirmation of integrity, length, quantity and purity of products, and great care in the avoidance of RNase contamination of reagents and equipment, every step of the way (Figure 1). A first key step of the procedure is complete restriction digestion of the DNA plasmid (Figure 1A), which guarantees mRNA products of defined length and sequence, and avoids otherwise abundant readthrough transcription products. Linearization is followed by T7-driven RNA transcription and co-transcriptional capping with ARCA, before DNase I treatment for removal of the template DNA (Figure 1C), which would otherwise interfere with downstream experiments. As a final step, poly(A) tailing is performed, which is readily detectible by gel separation as a size increase of poly(A)-tailed mRNA compared to untreated RNA and which for successful production shows the pure mRNA transcript as a clear, single band without lower–molecular-weight (MW) smear indicative of degradation, and without the presence of higher-MW residual plasmid DNA (Figures 1D, E).

FIGURE 1
www.frontiersin.org

FIGURE 1. Production of functional mRNA. Schematic diagram showing all the steps for the current in vitro transcription protocol, with corresponding gel images for the example of two representative BE mRNA synthesis procedures (1,2) from the same plasmid. (A) Linearization of plasmid DNA by restriction enzyme digestion downstream of the ORF to create a template for mRNA synthesis. After step A, uncut and linearized plasmid was loaded on a 0.8% agarose gel, along with a 1 kb DNA ladder (gel image) (B) Synthesis of a capped mRNA by co-transcriptional incorporation of ARCA using T7 RNA polymerase. (C) DNase I treatment of the capped mRNA for the removal of DNA residuals. The mRNA product was loaded on a 1% agarose gel untreated (from step B) and DNase I treated (from step C) (gel image) (D) Tailing reaction using poly(A) polymerase for the addition of a poly(A) tail to the capped mRNA. (E) Purification of the final modified mRNA following LiCl precipitation. Finally, the capped RNA product was loaded on a 1% agarose gel untreated (from step D) and purified and poly(A)-treated (from step E), along with a ssRNA ladder (gel image). Dashed white lines indicate where images were simplified by removal of surplus lanes.

3.2 Delivery of base editors as gRNA/mRNA for γ-globin induction in hematopoietic cells

Base editing technology was exploited to target γ-globin modifiers as potential therapy for β-hemoglobinopathies. Use of HUDEP-2 cells, with their minimal baseline γ-globin expression, facilitates such analyses (Papasavva et al., 2022), but owing to low transfection efficiency and high toxicity of plasmids in these sensitive cells, calls for in vitro transcribed mRNA in combination with commercial gRNA for delivery of BEs.

Literature supports that amelioration of β-hemoglobinopathies can be achieved by HbF-inducing mutations in regulatory sequences (Gallienne et al., 2012; Steinberg, 2020). Such mutations can often be created by single transition mutations and are usually reinforced, rather than reduced, in their effect by inadvertent on-target bystander edits, which altogether renders them ideal targets for γ-globin induction by base editing. To this end and using the BE4max cytosine BE (Koblan et al., 2018), we targeted the well-characterized γ-globin repressor BCL11A, so as to disrupt the GATA1 binding motif within the +58 BCL11A erythroid enhancer (Figure 2A) (Zeng et al., 2020). To indicate the potential of our protocol for reverse genetics, we also applied the BE4max BE mRNA with the appropriate gRNAs to target the HBG promoter for the creation of −114 and −115 C>T mutations (Martyn et al., 2018; Zhang et al., 2020) and to target γ-globin repressor KLF1 for the introduction of a p.Glu5Lys (C>T) mutation (Liu et al., 2014), as additional cis and trans factors of γ-globin expression, respectively (Supplementary Figure S1A). For the HBG promoter, specific point mutations result in hereditary persistence of fetal hemoglobin (HPFH), a benign condition characterized by elevated γ-globin expression. Furthermore, it was found that the −114 or −115 C>T mutations at the HBG promoter disrupt the binding site of the strong γ-globin repressor BCL11A (Martyn et al., 2018; Zhang et al., 2020). For KLF1 as an indirect repressor of γ-globin, numerous point mutations have been associated with elevated adult γ-globin levels (Gallienne et al., 2012), warranting the functional analysis of any novel variants of unknown significance in the KLF1 gene for their potential to induce γ-globin production and serve as a basis for therapy development.

FIGURE 2
www.frontiersin.org

FIGURE 2. Editing efficiency with BE in HUDEP-2 cells. (A) (top) Schematic diagram illustrating the BCL11A target with the DNA-equivalent of the 20-nt gRNA and the 3-nt PAM sequence. The orange arrows show the C bases that were edited. The highlighted rectangle indicates the WGATAR binding motif in BCL11A. (bottom) Annotated EditR-generated plot illustrating the percent area of the signal for each base (A|C|G|T) at the corresponding gRNA position for edited HUDEP-2 cells. The highlighted shape shows the editing window, the orange arrows show the edited C bases and the red boxes display the exact percentage (%) of base substitution in the bulk cell population. (B) Chart showing the % base substitution of C>T after base editing. Each bar shows the editing of the corresponding C base along the gRNA. The data are plotted as mean ± s.d. (n = 3).

Cells were nucleofected and cultured, before editing was assessed by deconvolution of mixed sequence traces using EditR (Kluesner et al., 2018) to infer the percentage substitution of each base along the gRNA (Figure 2A; Supplementary Figure S1A) and to evaluate editing across up to three independent biological replicates (Figure 2B). For the BCL11A erythroid enhancer, 2 C bases of the GATA1 binding motif within the predicted editing window, specifically the C bases at positions 6 and 8 (referred to as “C6” and “C8”, respectively) were edited at high efficiency in the absence of bystander edits outside that window. The C>T editing frequencies were 79.7% ± 4.2% and 37.7% ± 2.1% C>T for C6 and C8, respectively (n = 3) (Figure 2B). For the HBG target and its suitably positioned editing window, C6 and C7 were edited 30.3% ± 7% and 31.3% ± 7.5% C>T, respectively, in the absence of bystander edits (n = 3). For the KLF1 target, C3 and C5 were edited 49% and 83% C>T, respectively (n = 1). Importantly, KLF1 C5 is located in the editing window and was the intended editing target to create a GAG>AAG (Glu > Lys) mutation, while base editing of C3 as an inadvertent bystander target resulted in a synonymous AAG>AAA (Lys > Lys) ORF mutation, maintaining the intended Glu5Lys codon change (Supplementary Figure S1B).

After confirmation of efficient editing and creation of the required mutations, the edited HUDEP-2 cells were subjected to erythroid differentiation. On days 4 and 9 of differentiation, cells were collected for functional assays at the protein level, including immunoblot and HPLC analyses. HPLC analysis on day 9 of differentiation allowed quantification of γ-globin induction after editing. The HPLC chromatograms indicated γ-globin induction with the BCL11A and HBG targets compared to mock samples (Figure 3A; Supplementary Figure S2A), up from 0% γ/α relative to β/α mock levels, to 8.7% (n = 3) and 11.0% (n = 1) of γ/α relative to β/α mock levels, respectively (Figure 3C; Supplementary Figure S2B). Despite effective on-target editing of KLF1 and description of the specific mutation in the context of potentially β-thalassemia-ameliorating variants in the Chinese population (Liu et al., 2014), there was no indication of γ-globin induction in a single assessment (n = 1), indicating that the mutation in question might not be γ-globin-inducing after all (Supplementary Figure S2), at least in the widely used HUDEP-2 cell line of Japanese origin (Cell Engineering Division - Cell Bank, 2013). These results for relative γ-globin levels after treatment were validated in parallel to HPLC analyses by immunoblots after collection of cell material on days 4 and 9 of erythroid differentiation (Figures 3B, D; Supplementary Figures S2C, D). Quantification of γ-globin levels in edited samples indicated up to 50% (day 9) and 70% (day 4) γ/α levels in BCL11A- and HBG-edited cells, respectively, compared to 0% γ/α in both mock- and KLF1-targeted cells for either time point.

FIGURE 3
www.frontiersin.org

FIGURE 3. Functional analysis of BE-modified HUDEP-2 cells. (A) Chromatograms of HPLC analysis for the BCL11A and mock targeting at the last day of HUDEP-2 erythroid differentiation, with the peaks showing globin expression. The α-, β- and γ-globin peaks are labelled, and colored peaks indicate γ-globin induction. (B) Immunoblots of the edited HUDEP-2 cells on days 4 and 9 of erythroid differentiation, detecting the protein expression of α-, β- and γ-globin. Dashed lines indicate where images were simplified by removal of surplus lanes (see Supplementary Figure 2 for the full image). (C) Quantification of HPLC analysis in a chart showing the globin ratios of β/α and (Gγ+Αγ)/α. Data are plotted as mean ± s.d. (n = 2). (D) Quantification of immunoblots in a chart showing the % of (Gγ+Αγ)/α expression in each target on days 4 and 9 of erythroid differentiation. Data are plotted as mean ± s.d. (n = 2).

3.3 Delivery of TALENs as mRNA for β-globin induction in hematopoietic cells

A different approach for therapy of β-hemoglobinopathies is the elevation of β-globin production by correcting the causative mutation, which for some mutations can be achieved by simple NHEJ-based disruption based on a single DSB. For instance, the HBBIVSI−110(G>A) mutation creates an aberrant splice acceptor (aSA) site that leads to abnormal splicing, which according to previous studies of our group can be effectively restored to normal by CRISPR- or TALEN-mediated disruption of aberrant regulatory elements required for abnormal splicing (Patsali et al., 2019a; Patsali et al., 2019b). Specifically, for TALENs, the TALEN pair R1/L2 was designed to target the HBB gene with a predicted DSB just upstream of the HBBIVSI−110(G>A) mutation and the aSA consensus sequence (i.e., GA, Figure 4A). The results suggested that deletion of nucleotides upstream of the mutation can lead to correction of HBB expression even when the aSA remains intact (Patsali et al., 2019a; Patsali et al., 2019b), e.g., when TALEN-mediated sequence deletions shorten the aSA distance to the upstream branchpoint site sufficiently in order to destabilize lariat formation for aSA-based splicing and to favor normal splicing instead.

FIGURE 4
www.frontiersin.org

FIGURE 4. TALEN-based targeting of the HBBIVSI−110(G>A) mutation in patient-derived CD34+ cells. (A) A schematic diagram showing the design of TALENs targeting the HBBIVSI−110(G>A) mutation (orange arrow). The red box shows the aSA (AG dinucleotide) that is created by the mutation. The TALEN monomers L2 and R1 were used to introduce DSBs and create indels upstream of the splice acceptor site. The blue shaded repeated shapes represent the specific RVDs used for the design, the black shape shows the N-terminus, while the orange shape represents the Fok1 endonuclease monomer. (B) Alignment of the various editing events resulting from the disruption of the upstream splice acceptor site using the TALENs R1/L2 pair. For the top alignment 2 μg, for the bottom 1.5 μg were used per TALEN monomer. The INDEL column shows the exact number of deleted (<0) nucleotides, the CONTRIBUTION column the percentage of these indels in the bulk population, and the SEQUENCE column the edited sequences containing the various indels aligned with the wild type (orange cross). The orange arrow indicates the HBBIVSI−110(G>A) mutation as the first base of the aSA (red box); the normal +131 splice acceptor site (SA) is indicated by a black box. The grey arrows show the binding site of each TALEN monomer. The percentage of the total indels is also displayed. (C) Chart showing the percentage of indels detected for HBB and HBD after delivery of either 2 or 1.5 μg per TALEN monomer. For the 2 μg/TALEN monomer, the data are plotted as mean ± s.d. (n = 2.)

Toward clinical translation of the approach, long-term safety and efficiency analyses are required. In the process of optimizing genome editing efficiency, different amounts of TALEN mRNA (2 and 1.5 μg per TALEN monomer) were evaluated for in vitro and ex vivo delivery. Here, we show that based on the current in vitro transcription protocol for the production of TALEN mRNA, high editing efficiencies can be achieved by nucleofection of HBBIVSI−110(G>A) homozygote human CD34+ cells, which can lead to the correction of aberrant splicing and improvement of disease parameters, such as the restoration of HBB expression, correction of HBB pre-mRNA splicing and advanced erythroid differentiation. A key concern for editing of globins is the specificity of editing tools, owing to the high similarity of HBB and HBD (Liang et al., 2015), which can lead to unproductive HBD-HBB gene fusions and even overall reduced HBB expression (Patsali et al., 2019b). We therefore investigated the effect of different mRNA amounts on both, on-target editing efficiency and the ratio of on- to off-target editing.

Patient-derived CD34+ cells were nucleofected, providing the TALEN R1/L2 nuclease as mRNA at a 1:1 ratio, either using 2 or 1.5 μg per monomer, followed by culture and analysis of mixed sequence traces by ICE (Conant et al., 2022) to derive editing efficiency and sequence information for the treated cell population. After nucleofection with 2 μg mRNA/TALEN monomer, up to 17 different deletions were observed, in the absence of insertions. Of those deletions, 9 removing the HBBIVSI−110(G>A) mutation contributed 39.7% to all indel events, while the remaining 8 deletions occurred upstream of the mutation with up to 60.3% contribution to all indel events. The greatest contribution to indel events was made by short, 1–2 base pair (bp) deletions (44%). In total, short deletions of <10 bp accounted for 67.7% of indels, while only 32.3% of indel events were contributed by deletions >10 bp. After nucleofection with 1.5 μg mRNA/TALEN monomer, up to 12 different deletions were detected, once more in the absence of insertions. 5 out of those 12 deletions were targeting the HBBIVSI−110(G>A) mutation directly and contributed 37% to all indel events, while the remaining 7 deletions were located upstream of the mutation with 58.6% contribution to all indel events. The commonest indel events were 1–2 bp deletions (41.4%). 67.2% of the events were <10 bp deletions, while, 32.8% were >10 bp deletions (Figure 4B). Most importantly, while the distribution of indel events was similar for both conditions, the final editing efficiency score was 70.5% with 2 μg and 58% with 1.5 μg (Figure 4C). Moreover, there was no detectable editing of HBD for either input amount, indicating minimal HBD off-target activity and minimal scope for inadvertent fusion events. The results indicated that further escalation of mRNA amounts may raise editing efficiency still more, without prompting inadvertent HBD edits.

4 Discussion

Genome editing of hematopoietic cells has already reached significant milestones. For inherited disorders this includes early achievement of treatment end points by CTX001 treatment of β-hemoglobinopathies in clinical trials (Frangoul et al., 2020) and many other preclinical and clinical evaluations (Koniali et al., 2021; Cleared et al., 2022), and for cancer treatment this includes clinical application of autologous CAR-T cells and allogeneic CAR-NK and CAR-T cells (Ottaviano et al., 2022; Valeri et al., 2022; Zhang et al., 2022). Much of this progress is based on ex vivo delivery by electroporation, which when suitably optimized achieves great efficiencies even in HSPCs as cells recalcitrant to transfection (Hoban et al., 2015; Frangoul et al., 2021; Chu et al., 2021). In clinically relevant cells, DNA delivery is marked by low editing efficiencies and high toxicity, whereas protein- or RNP-based delivery allows high efficiencies but is cost- and labor-intensive. This is particularly true when new targets are explored by protein-based recognition typical of ZFNs and TALENs (in contrast to what applies for gRNA-mediated recognition for CRISPR/Cas), which requires dedicated protein synthesis for each new target (Gaj et al., 2015). By contrast, mRNA- or mRNA/gRNA-based delivery offer near-universal applicability, high speed of adoption and application, low toxicity and high editing efficiencies. For the example of hemoglobinopathies, a growing body of work demonstrates that delivery of in vitro transcribed genome editing tools, such as BEs and TALENs in sickle-cell-disease and β-thalassemic cells, achieved high levels of functional correction and reached high editing efficiencies (40%–80%) (Patsali et al., 2019b; Gaudelli et al., 2020; Newby et al., 2021; Antoniou et al., 2022). Depending on the setup, mRNA-based delivery might vastly outperform editing efficiency achieved by RNPs for BEs (Newby et al., 2021), while potentially modulating viral and immune transcriptional signatures and overall reducing DNA-damage, cell-cycle and metabolic response pathways in HSPCs (Cromer et al., 2018). Both tolerability and efficiency of mRNA-based delivery can be improved by protocol and chemistry refinements, e.g. by replacement of uridine with base analogues, such as 5-methoxyuridine (Vaidyanathan et al., 2018). A high-level baseline protocol facilitates any such optimization, and to date a comprehensive description of the required reagents and procedures for application of CRISPR/Cas and TALENs in CD34+ and HUDEP-2 cells and of typical outcomes as a benchmark for direct adoption by others in the field has been missing. In this study, we present a detailed, simple, affordable and fast in vitro transcription protocol for the production of mRNAs and RNA-based delivery of BEs or TALENs and for their nucleofection in HUDEP-2 and patient-derived CD34+ cells, conducive to reproducibly high editing efficiencies.

In a first typical application, base editing technology was employed to target modifiers of globin expression and to achieve induction of γ-globin. In the process we used the BE4max plasmid as template for the in vitro transcription protocol. Confirmation of BE mRNA production was followed by nucleofection of HUDEP-2 cells with three different gRNA/BE mRNA combinations, respectively targeting the +58 BCL11A erythroid enhancer, the HBG promoter, and exon 1 of the KLF1. Based on deconvolution of mixed sequencing traces, high editing efficiencies were achieved ranging from 30%–80%, with the highest on-target editing observed in BCL11A and KLF1, and the lowest in HBG. Low DNA editing efficiencies for the HBG promoter agree with findings in other studies indicating that the target itself rather than vectors or delivery method may be suboptimal for editing (Zhang et al., 2020), vindicated here by much higher editing efficiencies for other targets based on commercial gRNAs and same-batch application of BE mRNA. Overall, our protocol for in vitro transcribed BE mRNA allowed high editing efficiencies after nucleofection of HUDEP-2 cells, comparable to same-target RNP transfection of Cas9 nucleases or BEs in HSPCs (Wu et al., 2019). Importantly, Zeng et al, suggested that two rounds of electroporation were required to achieve high editing efficiencies by using the A3A (N57Q)-BE3 editor as RNP complex with a sgRNA targeting the +58 BCL11A erythroid enhancer (Zeng et al., 2020). However, in this study and in a recent study by Antoniou et al, it is suggested that one mRNA-based nucleofection of BEs is adequate to reach high efficiencies in HSPCs (Antoniou et al., 2022). Furthermore, deconvolution of sequence traces did not show any edits outside the predicted editing window (position 4–8 of sgRNA) for BCL11A and HBG as targets, and only the intended transition events (C>T) and no transversion events (C>A, C>G) were detected above background. For KLF1 as target, one edit outside the standard editing window was detected, for the C at position 3 of sgRNA, which is consistent with previous observations for BE4max (Koblan et al., 2018). Koblan et al. had observed C>T transition edits at high efficiency for positions 4–8 of the protospacer, but also at moderate to low efficiency at positions 3, 9, and 12 (Koblan et al., 2018). In particular for application of BEs in open reading frames, bystander edits including those outside the editing window need to be borne in mind. Luckily for the presented target and application, the single detectable bystander edit represents a synonymous mutation compared to the intended amino acid substitution of glutamic acid to lysine and still allowed the evaluation of potential effects of the protein variant on HbF expression. To this end we employed erythroid differentiation and analyses by RP-HPLC and immunoblots after confirming high editing efficiencies. Both methods revealed presence of γ-globin induction for the BCL11A and HBG targets and its absence for the KLF1 target. As to the former, our results agree with other studies showing increases of γ-globin for the specific BCL11A and HBG targets (Zeng et al., 2020; Zhang et al., 2020) and indicating their relevance for therapeutic application of genome editing. As to the latter, it had been reported by Liu et al. that mutations in KLF1, such as p.Glu5Lys C>T, can ameliorate the severity of β-thalassemia by contributing to increased HbF levels (Liu et al., 2014). However, at high editing efficiencies made possible by the present protocol, our preliminary analysis indicates that the specific KLF1 variant has no detectable effect on γ-globin levels compared to negative controls and may therefore have little therapeutic relevance for β-hemoglobinopathies.

In a second typical application, TALEN tools were exploited for the correction in patient-derived CD34+ cells of a pathogenic single-nucleotide variant, the common HBBIVSI−110(G>A) mutation. The cells were nucleofected with two different mRNA quantities, 2 and 1.5 μg, per TALEN monomer, targeting the upstream region of the +110 G>A mutation located in HBB intron 1. Seven days post-nucleofection, cells were collected for sequence analysis and showed high editing efficiencies up to 70% with 2 μg per TALEN monomer and up to 58% with 1.5 μg per TALEN monomer. For our own experiments, this indicated 2 μg per TALEN monomer as preferable for efficient editing by nucleofection. Results obtained here rival the highest efficiencies reported elsewhere (Patsali et al., 2019b; Lux et al., 2019; Quintana-Bustamante et al., 2019), indicating the success of our protocol to utilize in vitro transcribed TALEN mRNAs for nucleofection and editing in HSPCs. In line with other TALEN studies, targets and delivery methodologies (Kim et al., 2013; Ma et al., 2014; Wang et al., 2015; Patsali et al., 2019a; 2019b), we found that NHEJ only resulted in deletions and no insertions in the present case. Importantly, it has been reported elsewhere that because of the high sequence similarity between HBB and HBD genes, targeting the HBB gene resulted in high off-target indels in HBD (Cottle et al., 2015; Liang et al., 2015). Here, we confirm reduction below the detection limit of off-target editing for the HBD gene with the spacer-optimized TALEN L2/R1 combination (Patsali et al., 2019a; Patsali et al., 2019b). This would also keep any recombination events between both loci to a minimum, although this has not been assessed directly in this study, e.g., by CAST-seq (Turchiano et al., 2021). In addition to high on-target precision, we also demonstrated the integrity of the proximal HBB exon 2 and its consensus splice acceptor site for all inferred editing events, altogether vindicating the suitability of TALEN L2/R1 for therapeutic application.

In conclusion, the present manuscript provides a comprehensive, fast and readily reproducible protocol for the production and application of genome editing tools as mRNAs, based on an in vitro transcription process and the nucleofection of these products in hematopoietic cells. The transfection of BEs and TALENs as mRNA in otherwise hard-to-transfect cells leads to high editing efficiencies that facilitate functional analyses for the investigation of potential therapies for β-hemoglobinopathies and beyond.

Data availability statement

The raw data supporting the conclusion of this article will be made available by the authors, without undue reservation.

Ethics statement

The studies involving human participants were reviewed and approved by the Cyprus National Bioethics Committee (License No. ΕΕΒΚ/ΕΠ/2018/52). The patients/participants provided their written informed consent to participate in this study.

Author contributions

Conceptualization, formal analysis, data curation, visualization. NYP and CWL; Investigation and methodology. NYP, PP, BN, PLP, LK, CM, TC, and CWL; Validation. NYP, PP, and CWL; Resources. RK, YN, SC, MS, CM, TC, MK, and CWL; Supervision. CWL and PP; Writing—Original draft preparation, NYP, and CWL; Writing—Review and editing, NYP, PLP, CM, TC, and CWL; Project administration, MK and CWL; Funding acquisition, CWL, PP, and MK All authors have read and agreed to the published version of the manuscript.

Funding

The project was co-funded by the European Regional Development Fund and the Republic of Cyprus through the Research and Innovation Foundation (EXCELLENCE/1216/0092 and EXCELLENCE/0421/0086), a Telethon Cyprus PhD studentship and core funding of the Cyprus Institute of Neurology & Genetics. The project “New Infrastructure for the Diagnosis and Therapy of Patients” was funded by the Norway Grants 2014–2021.

Acknowledgments

We are grateful for the unwavering support of our thalassemic blood donors, without whom our research would not be possible.

Conflict of interest

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

Publisher’s note

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

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fgeed.2023.1141618/full#supplementary-material

References

Antoniou, P., Hardouin, G., Martinucci, P., Frati, G., Felix, T., Chalumeau, A., et al. (2022). Base-editing-mediated dissection of a γ-globin cis-regulatory element for the therapeutic reactivation of fetal hemoglobin expression. Nat. Commun. 13, 6618. doi:10.1038/s41467-022-34493-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Antoniou, P., Miccio, A., and Brusson, M. (2021). Base and prime editing technologies for blood disorders. Front. Genome Ed. | 3, 618406. doi:10.3389/fgeed.2021.618406

PubMed Abstract | CrossRef Full Text | Google Scholar

Bak, R. O., Dever, D. P., and Porteus, M. H. (2018). CRISPR/Cas9 genome editing in human hematopoietic stem cells. Nat. Protoc. 13, 358–376. doi:10.1038/nprot.2017.143

PubMed Abstract | CrossRef Full Text | Google Scholar

Banskota, S., Raguram, A., Suh, S., Du, S. W., Davis, J. R., Choi, E. H., et al. (2022). Engineered virus-like particles for efficient in vivo delivery of therapeutic proteins. Cell 185, 250–265.e16. doi:10.1016/J.CELL.2021.12.021

PubMed Abstract | CrossRef Full Text | Google Scholar

Beckert, B., and Masquida, B. (2011). Synthesis of RNA by in vitro transcription. Methods Mol. Biol. 703, 29–41. doi:10.1007/978-1-59745-248-9_3

PubMed Abstract | CrossRef Full Text | Google Scholar

Bjurström, C. F., Mojadidi, M., Phillips, J., Kuo, C., Lai, S., Lill, G. R., et al. (2016). Reactivating fetal hemoglobin expression in human adult erythroblasts through BCL11A knockdown using targeted endonucleases. Mol. Ther. - Nucleic Acids 5, e351. doi:10.1038/mtna.2016.52

PubMed Abstract | CrossRef Full Text | Google Scholar

Boch, J., Scholze, H., Schornack, S., Landgraf, A., Hahn, S., Kay, S., et al. (2009). Breaking the code of DNA binding specificity of TAL-type III effectors. Sci. (80- 326, 1509–1512. doi:10.1126/science.1178811

PubMed Abstract | CrossRef Full Text | Google Scholar

Canver, M. C., Smith, E. C., Sher, F., Pinello, L., Sanjana, N. E., Shalem, O., et al. (2015). BCL11A enhancer dissection by Cas9-mediated in situ saturating mutagenesis. Nature 527 (7577), 192–197. doi:10.1038/nature15521

PubMed Abstract | CrossRef Full Text | Google Scholar

Cao, T., Liu, S., Qiu, Y., Gao, M., Wu, J., Wu, G., et al. (2022). Generation of C-to-G transversion in mouse embryos via CG editors. Transgenic Res. 314 31, 445–455. doi:10.1007/S11248-022-00313-X

CrossRef Full Text | Google Scholar

Cell Engineering Division- Cell Bank (2013). Cell engineering division- Cell Bank. Available at: https://cellbank.brc.riken.jp/cell_bank/CellInfo/?cellNo=RCB4557.

Google Scholar

Chu, S. H., Ortega, M., Feliciano, P., Winton, V., Xu, C., Haupt, D., et al. (2021). Conversion of HbS to hb G-makassar by adenine base editing is compatible with normal hemoglobin function. Blood 138, 951. doi:10.1182/BLOOD-2021-150922

CrossRef Full Text | Google Scholar

Cleared, I. N. D., Beam-, S. C. D., Also, I. S., Cambridge, U., Newswire, G., and Drug, I. N. (2022). Beam therapeutics provides business and pipeline updates and reports third quarter 2021 financial results.

Google Scholar

Conant, D., Hsiau, T., Rossi, N., Oki, J., Maures, T., Waite, K., et al. (2022). Inference of CRISPR edits from sanger trace data. Cris. J. 5, 123–130. doi:10.1089/crispr.2021.0113

CrossRef Full Text | Google Scholar

Cottle, R. N., Lee, C. M., Archer, D., and Bao, G. (2015). Controlled delivery of β-globin-targeting TALENs and CRISPR/Cas9 into mammalian cells for genome editing using microinjection. Sci. Rep. 5, 16031–16113. doi:10.1038/srep16031

PubMed Abstract | CrossRef Full Text | Google Scholar

Cromer, M. K., Barsan, V. V., Jaeger, E., Wang, M., Hampton, J. P., Chen, F., et al. (2022). Ultra-deep sequencing validates safety of CRISPR/Cas9 genome editing in human hematopoietic stem and progenitor cells. Nat. Commun. 13, 4724. doi:10.1038/s41467-022-32233-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Cromer, M. K., Vaidyanathan, S., Ryan, D. E., Curry, B., Lucas, A. B., Camarena, J., et al. (2018). Global transcriptional response to CRISPR/Cas9-AAV6-Based genome editing in CD34+ hematopoietic stem and progenitor cells. Mol. Ther. 26, 2431–2442. doi:10.1016/j.ymthe.2018.06.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Eisenstein, M., Garber, K., Landhuis, E., and DeFrancesco, L. (2022). Nature Biotechnology’s academic spinouts 2021. Nat. Biotechnol. 40, 1551–1562. doi:10.1038/S41587-022-01530-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Fanis, P., Kousiappa, I., Phylactides, M., Kyrri, A., Hadjigavriel, M., Christou, S., et al. (2019). A novel mutation in the erythroid transcription factor KLF1 is likely responsible for ameliorating β-thalassemia major. Hum. Mutat. 40, 1768–1780. doi:10.1002/humu.23817

PubMed Abstract | CrossRef Full Text | Google Scholar

Farooqui, A. (2019). Sangamo BioSciences - finpedia. Finpedia. Available at: https://finpedia.co/bin/SangamoBioSciences/ (Accessed September 28, 2022).

Google Scholar

Frangoul, H., Altshuler, D., Cappellini, M. D., Chen, Y.-S., Domm, J., Eustace, B. K., et al. (2021). CRISPR-Cas9 gene editing for sickle cell disease and β-thalassemia. N. Engl. J. Med. 384, 252–260. doi:10.1056/NEJMoa2031054

PubMed Abstract | CrossRef Full Text | Google Scholar

Frangoul, H., Bobruff, Y., Cappellini, M. D., Corbacioglu, S., Fernandez, C. M., de la Fuente, J., et al. (2020). Safety and efficacy of CTX001 in patients with transfusion-dependent β-thalassemia and sickle cell disease: Early results from the climb THAL-111 and climb SCD-121 studies of autologous CRISPR-CAS9-modified CD34+ hematopoietic stem and progenitor cells. Blood 136, 3–4. doi:10.1182/blood-2020-139575

PubMed Abstract | CrossRef Full Text | Google Scholar

Gaj, T., Yang, Y., Wang, N., Shui, S., Kim, S., Nagamangala Kanchiswamy, C., et al. (2015). Efficient delivery of nuclease proteins for genome editing in human stem cells and primary cells. Nat. Protoc. 10, 1842–1859. doi:10.1038/nprot.2015.117

PubMed Abstract | CrossRef Full Text | Google Scholar

Gallienne, A. E., Dréau, H. M. P., Schuh, A., Old, J. M., and Henderson, S. (2012). Ten novel mutations in the erythroid transcription factor KLF1 gene associated with increased fetal hemoglobin levels in adults. Haematologica 97, 340–343. doi:10.3324/haematol.2011.055442

PubMed Abstract | CrossRef Full Text | Google Scholar

Gasiunas, G., Young, J. K., Karvelis, T., Kazlauskas, D., Urbaitis, T., Dooley, K., et al. (2020). Biochemically diverse CRISPR-Cas9 orthologs. Nat. Commun. 11 (1), 5512. doi:10.1038/s41467-020-19344-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Gaudelli, N. M., Komor, A. C., Rees, H. A., Packer, M. S., Badran, A. H., Bryson, D. I., et al. (2017). Programmable base editing of A⋅T to G⋅C in genomic DNA without DNA cleavage. Nature 551, 464–471. doi:10.1038/nature24644

PubMed Abstract | CrossRef Full Text | Google Scholar

Gaudelli, N. M., Lam, D. K., Rees, H. A., Solá-Esteves, N. M., Barrera, L. A., Born, D. A., et al. (2020). Directed evolution of adenine base editors with increased activity and therapeutic application. Nat. Biotechnol. 38, 892–900. doi:10.1038/s41587-020-0491-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Glass, Z., Lee, M., Li, Y., and Xu, Q. (2018). Engineering the delivery system for CRISPR-based genome editing. Trends Biotechnol. 36, 173–185. doi:10.1016/j.tibtech.2017.11.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Haapaniemi, E., Botla, S., Persson, J., Schmierer, B., and Taipale, J. (2018). CRISPR–Cas9 genome editing induces a p53-mediated DNA damage response. Nat. Med. 247 24, 927–930. doi:10.1038/s41591-018-0049-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Henderson, J. M., Ujita, A., Hill, E., Yousif-Rosales, S., Smith, C., Ko, N., et al. (2021). Cap 1 messenger RNA synthesis with Co-transcriptional CleanCap® analog by in vitro transcription. Curr. Protoc. 1, e39–e17. doi:10.1002/cpz1.39

PubMed Abstract | CrossRef Full Text | Google Scholar

Hoban, M. D., Cost, G. J., Mendel, M. C., Romero, Z., Kaufman, M. L., Joglekar, A. V., et al. (2015). Gene Therapy: Correction of the sickle cell disease mutation in human hematopoietic stem/progenitor cells. Blood 125, 2597–2604. doi:10.1182/BLOOD-2014-12-615948

PubMed Abstract | CrossRef Full Text | Google Scholar

Ihry, R. J., Worringer, K. A., Salick, M. R., Frias, E., Ho, D., Theriault, K., et al. (2018). p53 inhibits CRISPR–Cas9 engineering in human pluripotent stem cells. Nat. Med. 247 24, 939–946. doi:10.1038/s41591-018-0050-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Jalkanen, A. L., Coleman, S. J., and Wilusz, J. (2014). Determinants and implications of mRNA poly(A) tail size - does this. Semin. Cell Dev. Biol. 0, 24–32. doi:10.1016/j.semcdb.2014.05.018

PubMed Abstract | CrossRef Full Text | Google Scholar

Jemielity, J., Fowler, T., Zuberek, J., Stepinski, J., Lewdorowicz, M., Niedzwiecka, A., et al. (2003). Novel “anti-reverse” cap analogs with superior translational properties. Rna 9, 1108–1122. doi:10.1261/rna.5430403

PubMed Abstract | CrossRef Full Text | Google Scholar

Jiang, F., and Doudna, J. A. (2017). CRISPR-Cas9 structures and mechanisms. Annu. Rev. Biophys. 46, 505–529. doi:10.1146/annurev-biophys-062215-010822

PubMed Abstract | CrossRef Full Text | Google Scholar

Jinek, M., Chylinski, K., Fonfara, I., Hauer, M., Doudna, J. A., and Charpentier, E. (2012). A programmable dual-RNA-guided DNA endonuclease in adaptive bacterial immunity. Sci. (80- 337, 816–821. doi:10.1126/science.1225829

PubMed Abstract | CrossRef Full Text | Google Scholar

Joung, J. K., and Sander, J. D. (2013). TALENs: A widely applicable technology for targeted genome editing. Nat. Rev. Mol. Cell Biol. 14, 49–55. doi:10.1038/nrm3486

PubMed Abstract | CrossRef Full Text | Google Scholar

Khalil, A. M. (2020). The genome editing revolution: Review. J. Genet. Eng. Biotechnol. 18, 68. doi:10.1186/s43141-020-00078-y

PubMed Abstract | CrossRef Full Text | Google Scholar

Kim, Y.-G., Cha, J., and Chandrasegaran, S. (1996). Hybrid restriction enzymes: Zinc finger fusions to Fok I cleavage domain (Flavobacterium okeanokoites/chimeric restriction endonuclease/protein engineering/recognition and cleavage domains). Available at: https://www.pnas.org.

Google Scholar

Kim, Y., Kweon, J., and Kim, J. S. (2013). TALENs and ZFNs are associated with different mutation signatures. Nat. Methods 10, 185. doi:10.1038/nmeth.2364

PubMed Abstract | CrossRef Full Text | Google Scholar

Kluesner, M. G., Nedveck, D. A., Lahr, W. S., Garbe, J. R., Abrahante, J. E., Webber, B. R., et al. (2018). EditR: A method to quantify base editing from sanger sequencing. Cris. J. 1, 239–250. doi:10.1089/crispr.2018.0014

PubMed Abstract | CrossRef Full Text | Google Scholar

Koblan, L. W., Doman, J. L., Wilson, C., Levy, J. M., Tay, T., Newby, G. A., et al. (2018). Improving cytidine and adenine base editors by expression optimization and ancestral reconstruction. Nat. Biotechnol. 36, 843–846. doi:10.1038/nbt.4172

PubMed Abstract | CrossRef Full Text | Google Scholar

Komor, A. C., Kim, Y. B., Packer, M. S., Zuris, J. A., and Liu, D. R. (2016). Programmable editing of a target base in genomic DNA without double-stranded DNA cleavage. Nature 533, 420–424. doi:10.1038/nature17946

PubMed Abstract | CrossRef Full Text | Google Scholar

Koniali, L., Lederer, C. W., and Kleanthous, M. (2021). Therapy development by genome editing of hematopoietic stem cells. Cells 10, 1492. doi:10.3390/cells10061492

PubMed Abstract | CrossRef Full Text | Google Scholar

Kosicki, M., Tomberg, K., and Bradley, A. (2018). Repair of double-strand breaks induced by CRISPR-Cas9 leads to large deletions and complex rearrangements. Nat. Biotechnol. 36, 765–771. doi:10.1038/nbt.4192

PubMed Abstract | CrossRef Full Text | Google Scholar

Kurita, R., Suda, N., Sudo, K., Miharada, K., Hiroyama, T., Miyoshi, H., et al. (2013). Establishment of immortalized human erythroid progenitor cell lines able to produce enucleated red blood cells. PLoS One 8, e59890. doi:10.1371/journal.pone.0059890

PubMed Abstract | CrossRef Full Text | Google Scholar

Kwon, H., Kim, M., Seo, Y., Moon, Y. S., Lee, H. J., Lee, K., et al. (2018). Emergence of synthetic mRNA: In vitro synthesis of mRNA and its applications in regenerative medicine. Biomaterials 156, 172–193. doi:10.1016/j.biomaterials.2017.11.034

PubMed Abstract | CrossRef Full Text | Google Scholar

Laustsen, A., and Bak, R. O. (2019). Electroporation-based CRISPR/Cas9 gene editing using Cas9 protein and chemically modified sgRNAs. Luo, Y. Cris. Gene Ed. Methods Mol. Biol. 1961, 127–134. doi:10.1007/978-1-4939-9170-9_9

PubMed Abstract | CrossRef Full Text | Google Scholar

Lederer, C. W., and Kleanthous, M. (2015). Beta testing: Preclinical genome editing in β-globin disorders. Cell Gene Ther. Insights 1, 231–242. doi:10.18609/cgti.2015.021

CrossRef Full Text | Google Scholar

Ledford, H. (2022). Major CRISPR patent decision won’t end tangled dispute. Nature 373, 373–374. doi:10.1038/d41586-022-00629-y

CrossRef Full Text | Google Scholar

Leibowitz, M. L., Papathanasiou, S., Doerfler, P. A., Blaine, L. J., Sun, L., Yao, Y., et al. (2021). Chromothripsis as an on-target consequence of CRISPR–Cas9 genome editing. Nat. Genet. 53, 895–905. doi:10.1038/s41588-021-00838-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, C., Georgakopoulou, A., Newby, G. A., Everette, K. A., Nizamis, E., Paschoudi, K., et al. (2022). In vivo base editing by a single i.v. vector injection for treatment of hemoglobinopathies. JCI Insight 7, e162939. doi:10.1172/JCI.INSIGHT.162939

PubMed Abstract | CrossRef Full Text | Google Scholar

Liang, P., Xu, Y., Zhang, X., Ding, C., Huang, R., Zhang, Z., et al. (2015). CRISPR/Cas9-mediated gene editing in human tripronuclear zygotes. Protein Cell 6, 363–372. doi:10.1007/s13238-015-0153-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, D., Zhang, X., Yu, L., Cai, R., Ma, X., Zheng, C., et al. (2014). KLF1 mutations are relatively more common in a thalassemia endemic region and ameliorate the severity of β-thalassemia. Blood 124, 803–811. doi:10.1182/blood-2014-03-561779

PubMed Abstract | CrossRef Full Text | Google Scholar

Loucari, C. C., Patsali, P., Van Dijk, T. B., Stephanou, C., Papasavva, P., Zanti, M., et al. (2018). Rapid and sensitive assessment of globin chains for gene and cell therapy of hemoglobinopathies. Hum. Gene Ther. Methods 29, 60–74. doi:10.1089/hgtb.2017.190

PubMed Abstract | CrossRef Full Text | Google Scholar

Lux, C. T., Pattabhi, S., Berger, M., Nourigat, C., Flowers, D. A., Negre, O., et al. (2019). TALEN-mediated gene editing of HBG in human hematopoietic stem cells leads to therapeutic fetal hemoglobin induction. Mol. Ther. - Methods Clin. Dev. 12, 175–183. doi:10.1016/j.omtm.2018.12.008

PubMed Abstract | CrossRef Full Text | Google Scholar

Ma, S., Wang, X., Liu, Y., Gao, J., Zhang, S., Shi, R., et al. (2014). Multiplex genomic structure variation mediated by TALEN and ssODN. BMC Genomics 15, 41. doi:10.1186/1471-2164-15-41

PubMed Abstract | CrossRef Full Text | Google Scholar

Martyn, G. E., Wienert, B., Yang, L., Shah, M., Norton, L. J., Burdach, J., et al. (2018). Natural regulatory mutations elevate the fetal globin gene via disruption of BCL11A or ZBTB7A binding. Nat. Genet. 50, 498–503. doi:10.1038/s41588-018-0085-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Mok, B. Y., Moraes, M. H. D., Zeng, J., Bosch, D. E., Anna, V., Raguram, A., et al. (2020). A bacterial cytidine deaminase toxin enables CRISPR-free mitochondrial base editing. Nature 583, 631–637. doi:10.1038/s41586-020-2477-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Mok, Y. G., Lee, J. M., Chung, E., Lee, J., Lim, K., Cho, S. I., et al. (2022). Base editing in human cells with monomeric DddA-TALE fusion deaminases. Nat. Commun. 13, 4038. doi:10.1038/s41467-022-31745-y

PubMed Abstract | CrossRef Full Text | Google Scholar

Morgan, R. A., Gray, D., Lomova, A., and Kohn, D. B. (2018). Hematopoietic stem cell gene therapy –progress and lessons learned. Cell Stem Cell. 21 (5), 574–590. doi:10.1016/j.stem.2017.10.010

CrossRef Full Text | Google Scholar

Moscou, M. J., and Bogdanove, A. J. (2009). A simple cipher governs DNA recognition by TAL effectors. Science 326, 1501. doi:10.1126/science.1178817

PubMed Abstract | CrossRef Full Text | Google Scholar

Mussolino, C., Morbitzer, R., Lütge, F., Dannemann, N., Lahaye, T., and Cathomen, T. (2011). A novel TALE nuclease scaffold enables high genome editing activity in combination with low toxicity. Nucleic Acids Res. 39, 9283–9293. doi:10.1093/nar/gkr597

PubMed Abstract | CrossRef Full Text | Google Scholar

Newby, G. A., Yen, J. S., Woodard, K. J., Mayuranathan, T., Lazzarotto, C. R., Li, Y., et al. (2021). Base editing of haematopoietic stem cells rescues sickle cell disease in mice. Nature 595, 295–302. doi:10.1038/s41586-021-03609-w

PubMed Abstract | CrossRef Full Text | Google Scholar

Ottaviano, G., Georgiadis, C., Gkazi, S. A., Syed, F., Zhan, H., Etuk, A., et al. (2022). Phase 1 clinical trial of CRISPR-engineered CAR19 universal T cells for treatment of children with refractory B cell leukemia. Sci. Transl. Med. 14, eabq3010. doi:10.1126/SCITRANSLMED.ABQ3010

PubMed Abstract | CrossRef Full Text | Google Scholar

Papasavva, P. L., Papaioannou, N. Y., Patsali, P., Kurita, R., Nakamura, Y., Sitarou, M., et al. (2021). Distinct miRNA signatures and networks discern fetal from adult erythroid differentiation and primary from immortalized erythroid cells. Int. J. Mol. Sci. 22, 3626–3629. doi:10.3390/ijms22073626

PubMed Abstract | CrossRef Full Text | Google Scholar

Papasavva, P. L., Patsali, P., Loucari, C. C., Kurita, R., Nakamura, Y., Kleanthous, M., et al. (2022). CRISPR editing enables consequential tag-activated MicroRNA-mediated endogene deactivation. Int. J. Mol. Sci. 23, 1082. doi:10.3390/ijms23031082

PubMed Abstract | CrossRef Full Text | Google Scholar

Patsali, P., Mussolino, C., Ladas, P., Floga, A., Kolnagou, A., Christou, S., et al. (2019a). The scope for thalassemia gene therapy by disruption of aberrant regulatory elements. J. Clin. Med. 8, 1959. doi:10.3390/jcm8111959

PubMed Abstract | CrossRef Full Text | Google Scholar

Patsali, P., Turchiano, G., Papasavva, P., Romito, M., Loucari, C. C., Stephanou, C., et al. (2019b). Correction of IVS I-110(G>A) β-thalassemia by CRISPR/Cas-and TALEN-mediated disruption of aberrant regulatory elements in human hematopoietic stem and progenitor cells. Haematologica 104, e497–e501. doi:10.3324/haematol.2018.215178

PubMed Abstract | CrossRef Full Text | Google Scholar

Quintana-Bustamante, O., Fañanas-Baquero, S., Orman, I., Torres, R., Duchateau, P., Poirot, L., et al. (2019). Gene editing of PKLR gene in human hematopoietic progenitors through 5′ and 3′ UTR modified TALEN mRNA. PLoS One 14, 02237755–e223820. doi:10.1371/journal.pone.0223775

PubMed Abstract | CrossRef Full Text | Google Scholar

Ravi, N. S., Wienert, B., Wyman, S. K., Bell, H. W., George, A., Mahalingam, G., et al. (2022). Identification of novel HPFH-like mutations by CRISPR base editing that elevate the expression of fetal hemoglobin. Elife 11, e65421. doi:10.7554/ELIFE.65421

PubMed Abstract | CrossRef Full Text | Google Scholar

Rees, H. A., and Liu, D. R. (2017). Base editing: Precision chemistry on the genome and transcriptome of living cells. Physiol. Behav. 176, 139–148. doi:10.1016/j.physbeh.2017.03.040

PubMed Abstract | CrossRef Full Text | Google Scholar

Steinberg, M. H. (2020). Fetal hemoglobin in sickle hemoglobinopathies: High hbf genotypes and phenotypes. J. Clin. Med. 9, 3782–3810. doi:10.3390/jcm9113782

PubMed Abstract | CrossRef Full Text | Google Scholar

Sun, N., Zhao, D., Li, S., Zhang, Z., Bi, C., and Zhang, X. (2022). Reconstructed glycosylase base editors GBE2.0 with enhanced C-to-G base editing efficiency and purity. Mol. Ther. 30, 2452–2463. doi:10.1016/j.ymthe.2022.03.023

PubMed Abstract | CrossRef Full Text | Google Scholar

Thuille, N., Sajinovic, T., Siegmund, K., and Baier, G. (2020). Chemically modified mRNA nucleofection of primary human T cells. J. Immunol. Methods 487, 112878. doi:10.1016/j.jim.2020.112878

PubMed Abstract | CrossRef Full Text | Google Scholar

Tucci, F., Galimberti, S., Naldini, L., Valsecchi, M. G., and Aiuti, A. (2022). A systematic review and meta-analysis of gene therapy with hematopoietic stem and progenitor cells for monogenic disorders. Nat. Commun. 13, 1315. doi:10.1038/s41467-022-28762-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Turchiano, G., Andrieux, G., Klermund, J., Blattner, G., Pennucci, V., el Gaz, M., et al. (2021). Quantitative evaluation of chromosomal rearrangements in gene-edited human stem cells by CAST-Seq. Cell Stem Cell 28, 1136–1147.e5. doi:10.1016/j.stem.2021.02.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Urnov, F. D., Miller, J. C., Lee, Y. L., Beausejour, C. M., Rock, J. M., Augustus, S., et al. (2005). Highly efficient endogenous human gene correction using designed zinc-finger nucleases. Nature 435, 646–651. doi:10.1038/nature03556

PubMed Abstract | CrossRef Full Text | Google Scholar

Vaidyanathan, S., Azizian, K. T., Haque, A. K. M. A., Henderson, J. M., Hendel, A., Shore, S., et al. (2018). Uridine depletion and chemical modification increase Cas9 mRNA activity and reduce immunogenicity without HPLC purification. Mol. Ther. - Nucleic Acids 12, 530–542. doi:10.1016/j.omtn.2018.06.010

PubMed Abstract | CrossRef Full Text | Google Scholar

Valeri, A., García-Ortiz, A., Castellano, E., Córdoba, L., Maroto-Martín, E., Encinas, J., et al. (2022). Overcoming tumor resistance mechanisms in CAR-NK cell therapy. Front. Immunol. 13, 953849. doi:10.3389/FIMMU.2022.953849

PubMed Abstract | CrossRef Full Text | Google Scholar

Wadhwa, A., Aljabbari, A., Lokras, A., Foged, C., and Thakur, A. (2020). Opportunities and challenges in the delivery of mRNA-based vaccines. Pharmaceutics 12, 102. doi:10.3390/pharmaceutics12020102

PubMed Abstract | CrossRef Full Text | Google Scholar

Walton, R. ., Christie, K. A., Whittaker, M. N., and Kleinstiver, B. P. (2017). Unconstrained genome targeting with near-PAMless engineered CRISPR-cas9 variants. Physiol. Behav. 176, 139–148. doi:10.1126/science.aba8853.Unconstrained

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, J., Li, T., Zhou, M., Hu, Z., Zhou, X., Zhou, S., et al. (2015). TALENs-mediated gene disruption of FLT3 in leukemia cells: Using genome-editing approach for exploring the molecular basis of gene abnormality. Sci. Rep. 5, 18454–18513. doi:10.1038/srep18454

PubMed Abstract | CrossRef Full Text | Google Scholar

Wu, Y., Zeng, J., Roscoe, B. P., Liu, P., Yao, Q., Lazzarotto, C. R., et al. (2019). Highly efficient therapeutic gene editing of human hematopoietic stem cells. Nat. Med. 25, 776–783. doi:10.1038/s41591-019-0401-y

PubMed Abstract | CrossRef Full Text | Google Scholar

Yarnall, M. T. N., Ioannidi, E. I., Schmitt-Ulms, C., Krajeski, R. N., Lim, J., Villiger, L., et al. (2022). Drag-and-drop genome insertion of large sequences without double-strand DNA cleavage using CRISPR-directed integrases. Nat. Biotechnol. 1–13. doi:10.1038/s41587-022-01527-4

CrossRef Full Text | Google Scholar

Zeng, J., Wu, Y., Ren, C., Bonanno, J., Shen, A. H., Shea, D., et al. (2020). Therapeutic base editing of human hematopoietic stem cells. Nat. Med. 26, 535–541. doi:10.1038/s41591-020-0790-y

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, J., Hu, Y., Yang, J., Li, W., Zhang, M., Wang, Q., et al. (2022). Non-viral, specifically targeted CAR-T cells achieve high safety and efficacy in B-NHL. Nature 609, 369–374. doi:10.1038/S41586-022-05140-Y

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, X., Zhu, B., Chen, L., Xie, L., Yu, W., Wang, Y., et al. (2020). Dual base editor catalyzes both cytosine and adenine base conversions in human cells. Nat. Biotechnol. 38, 856–860. doi:10.1038/s41587-020-0527-y

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: in vitro transcription, mRNA, genome editing, hematopoietic, CRISPR/Cas, base editor

Citation: Papaioannou NY, Patsali P, Naiisseh B, Papasavva PL, Koniali L, Kurita R, Nakamura Y, Christou S, Sitarou M, Mussolino C, Cathomen T, Kleanthous M and Lederer CW (2023) High-efficiency editing in hematopoietic stem cells and the HUDEP-2 cell line based on in vitro mRNA synthesis. Front. Genome Ed. 5:1141618. doi: 10.3389/fgeed.2023.1141618

Received: 10 January 2023; Accepted: 17 February 2023;
Published: 08 March 2023.

Edited by:

Mohankumar Kumarasamypet Murugesan, Center for Stem Cell Research (CSCR), India

Reviewed by:

Sivaprakash Ramalingam, Council of Scientific and Industrial Research (CSIR), India
Rasmus O. Bak, Aarhus University, Denmark

Copyright © 2023 Papaioannou, Patsali, Naiisseh, Papasavva, Koniali, Kurita, Nakamura, Christou, Sitarou, Mussolino, Cathomen, Kleanthous and Lederer. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Carsten W. Lederer, bGVkZXJlckBjaW5nLmFjLmN5

These authors share last authorship

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