Disease models are used to investigate disease mechanisms and develop treatment strategies. While numerous
To overcome the limitations of previous disease models, patient-derived human induced pluripotent stem cell (hiPSC) disease models have been suggested as alternatives (7). hiPSC-based disease modeling has strengths in that it utilizes disease-related cells with identical patient genomes, reflecting the functionality of the affected cell types and disease phenotypes caused by specific mutations (8). Nevertheless, acquiring samples from patients with rare genetic diseases remains a challenge (9), which limits the use of patient-derived hiPSCs. In addition, selecting a healthy control hiPSC line for comparison with a patient-derived hiPSC line remains challenging, because differences in genetic background can disturb the disease phenotype (10). Therefore, isogenic hiPSC models have emerged as alternatives to patient-derived hiPSC models, utilizing a hiPSC line with an identical genetic background to the control line except for the pathogenic mutation (11). This approach reflects only changes caused by interested mutation and has the advantage of not requiring patient-derived samples.
The CRISPR/Cas9 system has been used for genome-editing in hiPSCs by double-strand breaks (DSBs)-mediated homology-directed repair (HDR) (12). However, the efficiency of HDR is low and DSBs can induce uninten-ded indels and genetic instability (13-15), making it difficult to establish isogenic hiPSCs. Recently, base editing and prime editing techniques have been developed to overcome the limitations of conventional CRISPR/Cas9 technique. In the base editing system, editing is performed by a deaminase attached to a mutated Cas9 nickase (16). In prime editing, prime editing guide RNA (pegRNA) and a reverse transcriptase linked to a mutated Cas9 nickase perform genome-editing (17). Compared to base editing, prime editing has a relatively lower editing efficiency, but offers the advantages of enabling various types of edits, such as insertion, deletion, and substitution (18). These features make it a promising genome-editing tool. However, the application of prime editing in hiPSCs has not been widely explored.
Hereditary hemorrhagic telangiectasia (HHT) is a genetic disease characterized by arteriovenous malformation, telangiectasia, and epistaxis (19). Among various types, HHT1 is caused by autosomal dominant mutation in the
The pCMV-PEmax-P2A-GFP plasmid (#180020; Addgene) and pEF1a-hMLH1dn plasmid (#174824; Addgene) were used to express the prime editor and inhibit MLH1, respectively. Engineered pegRNA (epegRNA) targeting the human
Table 1 . List of oligos used for cloning
Name | Sequence (5’ to 3’) | Purpose |
---|---|---|
caccGTGGAGGGAACACACTCACGTgtttt | Golden Gate assembly cloning into pU6-tevopreq1-GG-acceptor plasmid | |
ctctaaaacACGTGAGTGTGTTCCCTCCAC | ||
epegRNA scaffold_F | AGAGCTAGAAATAGCAAGTTAAAATAAGGCTAGTCCGTTATCAACTTGAAAAAGTGGCACCGAGTCG | |
epegRNA scaffold_R | GCACCGACTCGGTGCCACTTTTTCAAGTTGATAACGGACTAGCCTTATTTTAACTTGCTATTTCTAG | |
gtgcACTTGGCCTACaTGAGTGTGTTCCC | ||
cgcgGGGAACACACTCAtGTAGGCCAAGT | ||
hU6 promoter_F | GAGGGCCTATTTCCCATGATT | Sanger sequencing |
hiPSCs generated from BJ fibroblasts were seeded on culture dishes coated with hESC-qualified Matrigel (#354277; Corning) containing mTeSRTM1 medium (#85850; STEMCELL technologies) with 10 μM Y-27632 (#1254; Tocris Bioscience) and maintained in humidified incubator (5% CO2 and 37℃). Each day, the medium was refreshed until the cells reached approximately 90% confluence, which generally required approximately 3 days.
hiPSCs were received fresh mTeSRTM1 medium containing 10 μM of Y-27632. After 1 hour of incubation, the cells were dissociated using Accutase solution (#A6964; Sigma-Aldrich) before nucleofection. For prime editing, 1.0×106 cells were resuspended in P3 Primary Cell 4D-NucleofectorTM X kit solution (#V4XP-3024; Lonza) with pCMV-PEmax-P2A-GFP plasmid (4.5 μg), pEF1a-hMLH1dn plasmid (1.5 μg), and pU6-tevopreq1-GG-acceptor plasmid (2.2 μg). The cells were immediately nucleofected with AmaxaTM 4D-NucleofectorTM (Lonza) using CA-137 program. Transfected cells were treated with fresh medium after 24 hours, and GFP-expressing cells were sorted with an SH800S Cell Sorter (SONY) after 24 hours of nucleofection. The sorted cells were seeded on 6-well plate at a low density and cultured to form single-cell colonies. After 12 days, the colonies were picked and transferred to a 96-well plate for expansion. Finally, each clone was analyzed by Sanger sequencing to determine the genotype of
Genomic DNA (gDNA) was extracted from each clone using a lysis buffer containing proteinase K (KB-0111; Bioneer). The cell lysis buffer consists of 10% (w/v) sodium dodecyl sulfate solution (250 μL), 1 M pH 8.0 Tris-HCl (500 μL), and sterile distilled water to a final volume of 50 mL. Diluted proteinase K (1:300, v/v) was added immediately prior to lysis. Polymerase chain reaction (PCR) was conducted with the AccuPowerⓇ PCR PreMix kit (K-2012; Bioneer) and specific primers. The PCR protocol involved an initial denaturation at 95℃ for 5 minutes, followed by 30 cycles comprising denaturation at 95℃ for 20 seconds, annealing at 65℃ for 20 seconds, and extension at 72℃ for 30 seconds. The final extension step occurred at 72℃ for 5 minutes. PCR products were purified by gel extraction and subjected to Sanger sequencing. The sequencing results were analyzed using the EditR tool (http://baseeditr.com/). The oligonucleotides used for PCR and Sanger sequencing are listed in Table 2.
Table 2 . List of PCR primers for Sanger sequencing
Name | Sequence (5’ to 3’) | Size (bp) | Purpose |
---|---|---|---|
CTGCCTGTCTGGGTGGCACAACCT | 269 | gDNA PCR, Sanger sequencing | |
CAGTAGGGACCTCCCATGGCCAGA | |||
GCAAACGCTGTCCCTATCCT | 262 | Off-target (1) Sanger sequencing | |
CTCTCCCACCAACCTGGAAC | |||
CCCCAGAGAGGTGATCGAGA | 333 | Off-target (2) Sanger sequencing | |
CATGGCAGGGTTTAGCCTCA |
gDNA PCR: genomic DNA polymerase chain reaction.
For Immunocytochemistry, cells were fixed for 10 minutes with 4% paraformaldehyde. Blocking and permeabilization were performed using a solution containing 0.3% Triton X-100 and 3% normal goat serum in phosphate-buffered saline. After overnight incubation with the primary antibody in the blocking solution, the cells were washed three times. Primary antibodies used were as follow: anti-octamer-binding transcription factor 4 (OCT4) (sc-5279, 1:200; Santa Cruz Biotechnology), anti-TRA-1- 60 (ab16288, 1:200; Abcam), anti-SOX2 (ab97959, 1:200; Abcam). Subsequently, after a 2 hours incubation with secondary antibody, the cells were washed again thrice, and nuclear staining was performed using 4’,6-diamidino-2-phenylindole (DAPI). The following secondary antibodies were used: AlexaFluor 488 goat anti-mouse IgG (A-11001, 1:1,000; Invitrogen) and AlexaFluor 488 goat anti-rabbit IgG (A-11008, 1:1,000; Invitrogen). Fluorescence images were acquired using a fluorescence microscope.
The teratoma assay for
hiPSCs fixed with 4% paraformaldehyde were stained using the StemAbTM Alkaline Phosphatase Staining Kit II (00-0055; Reprocell) according to the manufacturer’s guide.
Chromosomal analysis of the established isogenic hiPSC line was performed using a standard method with slight modifications. Briefly, cells were incubated with colcemid (9311; FUJIFILM) for 3 hours at 37℃ and detached using 0.25% trypsin-ethylenediamine tetraacetic acid. Cells were treated with a hypotonic solution containing 1% sodium citrate, and the lysed cells were fixed with a fixation solution (methanol:acetic acid=3:1). G-banding analysis was performed to identify chromosomes, followed by microscopic observation.
Endothelial organoids (EOs) were generated from isogenic control and established HHT hiPSCs. The Cells were cultured in Matrigel-coated dishes for 3 days, then detached for embryoid body (EB) generation in petri dishes under shaking condition (60 RPM) for 3 days. Generated EBs were exposed to RPMI 1640 (#11875093; Gibco) containing B-27TM, without insulin (#A1895601; Gibco) supplemented with 6 μM of CHIR-99021 (#4423; Tocris Bioscience). After 2 days, endothelial lineage differentiation was induced by EGMTM-2 (CC-3202; Lonza) supplemented with 100 ng/mL VEGF (100-20; PeproTech) and 20 ng/mL bFGF (100-18B; PeproTech) for 2 days. RNA was extracted from hiPSC-derived EOs using TRIzol Reagent (Invitrogen) according to the manufacturer’s protocol, and the concentration of the extracted RNA was measured using a NanoDrop One/OneC spectrophotometer (Thermo Fisher Scientific). Subsequently, cDNA synthesis was performed using AccuPowerⓇ RT PreMix and Oligo dT 20 mer (2 nmol). The synthesized cDNA was mixed with AccuPowerⓇ 2X GreenStarTM quantitative RCR (qPCR) Master Mix and primers, and qPCR analysis was performed using the LightCyclerⓇ 480 instrument (Roche). Thermal cycling conditions consisted of initial denaturation at 95℃ for 5 minutes, followed by 45 cycles of 95℃ for 10 seconds, 58℃ for 10 seconds, and 72℃ for 10 seconds. Each mRNA expression level was normalized to that of the housekeeping gene glyceraldehyde-3-phosphate dehydrogenase (GAPDH) and calculated using the 2−ΔΔCt method. The primer sequences are detailed in Table 3.
Table 3 . List of primers for qPCR
Name | Sequence (5’ to 3’) | Purpose |
---|---|---|
GGAACCTCACTATCCGCAGAGT | qPCR | |
CCAAGTTCGTCTTTTCCTGGGC | ||
ACCCCACTGTTGCTAAAGAAGA | qPCR | |
CCATCCTCACGTCGCTGAATA | ||
TCCCGAGGTCAAGAGGTGTA | qPCR | |
AGGGTGTGCCTCCTAAGCTA | ||
AAGTGGAGTCCAGCCGCATATC | qPCR | |
ATGGAGCAGGACAGGTTCAGTC | ||
CATCAATGGAAATCCCATCAC | qPCR | |
GCAGAGATGATGACCCTTTTG |
qPCR: quantitative polymerase chain reaction.
qPCR analysis data are presented as the mean±SEM. Statistical significance was evaluated using unpaired t-test in GraphPad Prism 9.2.0. p-values<0.05 were considered statistically significant (*p<0.05, **p<0.01, ***p<0.001).
We explored previous publications to select a mutation among the clinically reported
After selecting the target mutation of
Based on the established strategy, we nucleofected hiPSCs and isolated GFP-expressing cells to selectively identify cells with successful nucleofection (Fig. 3A). Before the formation of single-cell colonies, bulk gDNA sequencing was conducted to assess the overall editing efficiency, which was determined to be 12% by EditR analysis (Fig. 3B). Following the confirmation of editing via bulk gDNA sequencing, we proceeded with the expansion and sequencing of single-cell colonies to secure an hiPSC line containing the intended edit. As a result, we verified the heterozygous introduction of the intended
Conventional HDR-based genome editing using CRISPR/Cas9 has shown relatively low efficiency in hiPSCs and is associated with safety concerns due to the non-target effects caused by DSBs (25). To address these issues, base editors that combine mutated Cas9 nickase with deaminases have been developed (30). Two types of base editors, ABE and CBE, demonstrated relatively higher target correction efficiencies than CRISPR/Cas9-mediated HDR (31). However, ABE and CBE are limited to the A·T to G·C and C·G to T·A substitutions, respectively (26). They are also restricted to an editing window that is approximately 12 to 16 bp away from the PAM sequence and may cause unintended changes to nearby target base pairs (32). Despite these limitations, previous studies have reported the effectiveness of base editing for disease modeling in hiPSCs and have presented it as a genome-editing tool for hiPSCs (33, 34). However, the aforementioned limitations of base editing result in limited genome-editing capabilities, thereby reducing its versatility.
Prime editing is an advanced technology that overcomes the limitations of base editing. Similar to base editing, it uses mutated Cas9, which does not induce DSBs, in combination with reverse transcriptase (17). Prime editors use pegRNA, which includes RTT and PBS regions in addition to spacer to target specific sequences. This allows the prime editor to introduce the intended edit based on the RTT backbone, thereby enabling all types of substitutions, insertions, and deletions without unintended change of bystander (18). Additionally, the option to adjust the lengths of the RTT and PBS regions allows for the editing of targets further from the PAM sequence, providing a much broader targeting range than base editing (35). Taken together, prime editing offers significant advantages over base editing in terms of the variety of editing types, less stringent PAM sequence requirements, and absence of bystander effects.
HHT1 is caused by haploinsufficiency due to autosomal dominant mutations in
To maximize the editing efficiency, we performed nucleofecting the epegRNA and PEmax in combination with hMLHdn plasmids (17). Additionally, to select cells transfected with the largest plasmid, PEmax, we sorted GFP-expressing cells. Bulk gDNA sequencing revealed an editing efficiency of 12%, and sequencing analysis of single-cell colonies confirmed that two of the 13 colonies carried the intended c.360+1G>A mutation in a heterozygous form. These results, obtained without additional optimization steps, were considered satisfactory. Given that the goal of genome-editing in hiPSCs is to obtain clones with intended editing, prime editing is considered a useful tool. Additionally, compared to traditional CRISPR/Cas9 HDR editing, this method is more convenient because it does not require the additional donor DNA and usually show higher efficiency than unoptimized HDR methods (38).
To date, prime editing has primarily focused on the treatment of genetic diseases, with the potential to correct approximately 89% of genetic mutation (27). This implies that prime editing can also introduce most of pathogenic mutations into normal cells, making it a valuable tool for modeling genetic diseases. This approach can address the challenges associated with the use of patient-derived iPSCs for disease modeling, such as the scarcity of patient samples and the difficulty in establishing appropriate control cells due to genomic discrepancies (9, 10). Moreover, within the same genetic disorder, disease severity and potential treatment options may vary depending on the mutation type (39). Prime editing can introduce a wide range of mutations, enabling disease modeling that reflects these differences.
Nevertheless, additional improvements are necessary in its application, especially in enhancing efficiency. In this study, the
In this study, we established a strategy for the prime editing in hiPSCs and demonstrated the feasibility of introducing point mutations into hiPSCs. This approach is expected to facilitate disease modeling using prime editing. Future research will utilize the established isogenic disease hiPSCs to differentiate disease-relevant cells or organoids, enabling human-relevant disease modeling that cannot be adequately evaluated using animal models. This advancement is expected to promote studies on disease mechanisms, therapeutic development, and personalized precision medicine. Given the current surge in gene therapy development, we propose an isogenic hiPSC model generated by prime editing as a potential platform to overcome the limitations of animal models for evaluating gene therapies.
Supplementary data including one figure can be found with this article online at https://doi.org/10.15283/ijsc24084
There is no potential conflict of interest to declare.
Conceptualization: MWK, CYK, HMC. Data curation: MWK, KSJ, JK, SGL. Formal analysis: MWK. KSJ, SGL. Funding acquisition: HMC. Investigation: MWK, KSJ. Methodology: MWK, JK, SGL. Project administration: CYK, HMC. Supervision: CYK, HMC. Visualization: KSJ. Writing – original draft: MWK, KSJ. Writing – review and editing: CYK, JK, HMC.
This work was supported by the National Research Foundation of Korea (NRF) grants from the Korea government (MSIT) (2022R1A2C2012738) and was supported by Basic Science Research Program through the NRF funded by the Ministry of Education (RS-2023-00240972). This paper was written by the support program for Research Oriented Professors of Konkuk University.
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