Abstract
Pathogenic structure variations (SVs) are associated with various types of cancer and rare genetic diseases. Recent studies have used Cas9 nuclease with paired guide RNAs (gRNAs) to generate targeted chromosomal rearrangements, focusing on producing fusion proteins that cause cancer, whereas research on precision genome editing for rectifying SVs is limited. In this study, we identified a novel complex genomic rearrangement (CGR), specifically an EYA1 inversion with a deletion, implicated in branchio-oto-renal/branchio-oto syndrome. To address this, two CRISPR-based approaches were tested. First, we used Cas9 nuclease and paired gRNAs tailored to the patient’s genome. The dual CRISPR-Cas9 system induced efficient correction of paracentric inversion in patient-derived fibroblast, and effectively restored the expression of EYA1 mRNA and protein, along with its transcriptional activity required to regulate the target gene expression. Additionally, we used CRISPR activation (CRISPRa), which leads to the upregulation of EYA1 mRNA expression in patient-derived fibroblasts. Moreover, CRISPRa significantly improved EYA1 protein expression and transcriptional activity essential for target gene expression. This suggests that CRISPRa-based gene therapies could offer substantial translational potential for approximately 70% of disease-causing EYA1 variants responsible for haploinsufficiency. Our findings demonstrate the potential of CRISPR-guided genome editing for correcting SVs, including those with EYA1 CGR linked to haploinsufficiency.
Keywords: MT: RNA/DNA Editing, pathogenic structure variations, chromosomal rearrangement, Cas9, EYA1, CRISPRa, haploinsufficiency
Graphical abstract

Kim and colleagues introduce CRISPR-based correction of pathogenic structural variations, uncovering a novel EYA1 inversion in BOR/BO syndrome. The dual CRISPR-Cas9 system restored EYA1 expression, and CRISPRa elevated expression in haploinsufficient cells. This reveals CRISPR’s potential for rectifying structural variations and holds promise for treating disease-causing EYA1 variants.
Introduction
Pathogenic structure variations (SVs) and genomic rearrangements are observed in various types of cancer and rare genetic diseases.1 Genomic rearrangements are alterations in the architecture of genomic DNA that can result in complex structures, such as inversions, deletions, duplications, and translocations.1 These genomic rearrangements can arise from DNA double-strand breaks (DSBs) and incorrect rejoining of the DNA ends via mechanisms such as non-allelic homologous recombination and non-homologous end-joining.1 Chromosome microarrays and multiplex ligation-dependent probe amplification (MLPA) have become routine real-world techniques for detecting abnormal copy numbers,2 but genomic approaches cannot identify balanced SVs, such as inversions and translocations. With the diagnostic and technical availability of whole-genome sequencing (WGS), a range of SVs, including complex genomic rearrangements (CGRs), can be identified at a much higher resolution than previously,3 which leads to a better understanding of their mechanisms and potential therapeutic targets.
The CRISPR-Cas9 system has been adapted for site-specific genome editing in diverse cell types and model organisms.4,5 Cas9 nuclease generates a DNA DSB at target sites, which induces the cellular repair process through either homology-directed repair or non-homologous end-joining pathways. The development of advanced CRISPR nuclease using paired guide RNAs (gRNAs) achieves precise targeted gene deletions and replacement in human cells.6 Furthermore, recent studies have used Cas9 nuclease in combination with paired gRNAs to generate targeted chromosomal rearrangements, focusing on cancer-associated chromosomal rearrangements such as EML4-ALK, NPM-ALK, CD74-ROS1, KIF5B-RET, EWSR1-FLI1, and AML1-ETO.7,8,9,10 Previous studies have primarily focused on generating fusion proteins implicated in cancer, whereas the field of precise genome editing for correcting SVs requires further exploration.
Through WGS, we identified a novel CGR, characterized by an EYA1 inversion with a deletion, responsible for branchio-oto-renal/branchio-oto (BOR/BO) syndrome. BOR/BO syndrome refers to a dominantly inherited rare disease, characterized by branchial anomalies, hearing loss, and renal anomalies. Despite a high penetrance of hearing impairment, with more than 90% of individuals affected,11,12 the clinical presentation of BOR/BO syndrome is highly variable.12,13 EYA1 is a primary disease-causing gene for BOR/BO syndrome, accounting for 40%–75% of patients.14,15 EYA1 binds to promoter sequences and engages with general transcription factors.16 It primarily forms a bipartite transcription factor (EYA1-SIX1-DNA complex) that controls critical early inductive signaling events involved in ear and kidney formation.17 Furthermore, the evolutionarily conserved Pax-Eya-Six regulatory hierarchy17 and Eya1-centered multiprotein networks16 have been shown to elucidate the development of the inner ear, branchial arch-derived organs, and kidney in a distinct manner. Thus, pathogenic variants of EYA1 that affect functional domains, such as the Eya domain, are likely to have molecular consequences in the context of transcriptional activity, resulting in BOR/BO phenotypes. The CGR results in a loss-of-function allele and thus haploinsufficiency served as the underlying mechanism. To rectify this, we developed two genome editing approaches. The Cas9 nuclease and paired gRNAs precisely induce the paracentric inversion to correct the CGR mutation with relatively high efficiency in patient-derived fibroblasts. This dual CRISPR-Cas9 system successfully restores the expression level of the EYA1 gene, coupled with the expression of downstream target genes, leading to an improvement in transcriptional activity. In addition, through CRISPR activation (CRISPRa), the expression level of both the EYA1 gene and its encoded protein were increased similar to wild-type levels in patient-derived fibroblasts and human EYA1 monoallelic knockout cells that mimic haploinsufficiency. The CRISPRa system significantly improved transcriptional activity essential for target gene expression, suggesting such advancements might be relevant to all disease-causing variants associated with EYA1 haploinsufficiency.
Results
Identification of a novel CGR in the EYA1 gene
The proband, a 27-year-old (SNUH536-1094), manifested bilateral mixed hearing loss, bilateral preauricular fistulas, and a history of discharge from tiny neck openings on each side. The mother of the proband and affected siblings in SNUH536 family exhibited a range of clinical phenotypes associated with BOR/BO syndrome, demonstrating complete penetrance but variable expressivity of clinical phenotypes (Figure 1A). A bioinformatics approach and filtering strategy of WGS results, aimed at prioritizing candidate causal variants for BOR/BO syndrome, yielded negative results. The sequential MLPA test showed a normal copy number state in EYA1 gene (Figure S1). A thorough examination of a region on chromosome 8 was conducted by leveraging SV profiles via family-based WGS. This process revealed a novel CGR involving an EYA1 inversion (g.71211857 to g.71228236; with a 5′-breakpoint in intron 16 of EYA1 and a 3′-breakpoint in intron 12 of EYA1), with a deletion at the end of the segment (g.71211857 to g.71215145; with both the 5′-breakpoint and 3′-breakpoint located in intron 16) (Figures 1B and S2). We identified two neo-junctional reads, one with 1 bp of microhomology (A-B, g.71215145) and the other with 2 bp of microhomology (B-C, g.71228236) (Figure S3). To confirm the breakpoint junctions identified by WGS, we designed four pairs of forward and reverse primers (Table S1). Gap-PCR revealed the amplification of a 954-bp PCR product corresponding to the breakpoint within intron 16 (A-B junction) and a 235-bp PCR product corresponding to the breakpoint within intron 12 (B-C junction) (Figure 1C). We also verified the genomic sequence of junctions by Sanger sequencing (Figure 1C). To further identify the EYA1 mutant allele, cDNA Sanger sequencing of the coding regions of EYA1 CGR was performed. The gel electrophoresis image displaying the RT-PCR results, including conditions treated with cycloheximide (CHX) to inhibit nonsense-mediated mRNA decay (NMD), and primer sets used for cDNA Sanger sequencing is described in Table S2 . The cDNA-level consequences were revealed the removal of the sequence from the inverted exons 13–16 of EYA1 CGR, leading to a novel NM_000503.6:r.1141_1597del variant. This premature stop codon results in a truncated non-functional protein (p.Cys382Lysfs∗7), a region that includes the functional Eya domain (Figure 1D), which is predicted to lead to haploinsufficiency.
Figure 1.
Pedigrees, clinical phenotypes, and two novel EYA1 SVs harboring BOR/BO syndrome
(A) Pedigree and clinical phenotypes of the SNUH536 family with BOR/BO syndrome. The symbols in the pedigree indicate the following: circle, female; square, male. (B) Schematic representation illustrating the orientation and location of genomic segments reconstructed with the CGR. The genomic coordinates of the breakpoints (depicted by red, blue, and green dotted vertical lines) demarcate the junctions of the segments. The colors of the bars on the breakpoint junction correspond to the following genomic positions: red, 71197433–71211857; blue, 71211857–71228236; orange, 71228236–71548094. The coding sequence configuration is depicted as connected segments. (C) Gap-PCR results align with the breakpoints identified through WGS. Sanger sequencing verified the generated PCR products. The size of the amplicons obtained through Gap PCR is as follows: A-B junction in wild-type, 482 bp; B-C junction in wild-type, 248 bp; A-inverted B junction in complex SV, 954 bp; inverted B-C in complex SV, 235 bp. (D) EYA1 domain structure and results of Sanger sequencing for breakpoint junction. Red boxes indicate region A, blue boxes indicate the inversion region B, and orange boxes indicate region C. The abbreviations used in the domain map are defined as follows: e, exon; ED, EYA domain.
Cas9 nuclease with paired gRNAs induce efficient editing at sites of the paracentric inversion
To assess the potential of Cas9 nucleases with paired gRNA for correcting the pathogenic inversion in patient-derived fibroblasts (Figures 2A and 2B), we designed gRNAs that specifically target the junction sites between fragment A and the inverted B (13 kb) fragment, as well as between the inverted B (13 kb) and C fragments (Figure 2C). We transfected patient fibroblast cells with complexes of Cas9 protein and in vitro transcribed gRNAs targeting the fragment junctions (Figure 2C), and measured editing frequencies using targeted deep sequencing (Figure 2D). The editing efficiency at target sites AB-T1 and AB-T2, located at the junction between fragment A and the inverted B (13 kb) fragment (A-B junction), were found to be 36.9% and 1.9%, respectively. Similarly, the Cas9 nuclease targeting the junctions between the inverted B (13 kb) fragment and fragment C (B-C junction) at sites BC-T1, BC-T2, and BC-T3 showed editing efficiencies of 57.2%, 89.0%, and 78.6%, respectively. Based on these results, we selected Cas9 nucleases targeting either AB-T1 and BC-T2 or AB-T1 and BC-T3 to induce the correction of the pathogenic inversion.
Figure 2.
Dual Cas9 nuclease-mediated correction of EYA1 pathogenic complex
(A) Schematic representation of Cas9 nuclease and paired gRNA-mediated correction of the pathogenic inversion. The dashed lines represent the Cas9 target sites. (B) Schematic representation of the mature mRNA anticipated after correction of the pathogenic inversion. (C) The Cas9 target sequences at the A-B junction and B-C junction of the pathogenic EYA1 gene in patient fibroblasts. The protospacer adjacent motif is highlighted in red. (D) Mutation frequencies induced by Cas9 nuclease at the A-B junction and B-C junction of the EYA1 gene. Data are presented as the mean ± SD (n = 3). (E) Detection of Cas9 nuclease-mediated inversions using inversion-specific primers. (F) Targeted deep sequencing reads of amplicons generated using inversion-specific primers. (G) Estimation of inversion frequencies by digital PCR analysis using serially diluted samples. Diluted genomic DNA samples were subjected to PCR using inversion-specific primers. The results were analyzed using the Extreme Limiting Dilution Analysis program (http://bioinf.wehi.edu.au/software/elda/). (H) Mutation frequencies at the off-target sites obtained by Digenome-seq analysis. Data are presented as the mean ± SD (n = 3).
We next investigated whether Cas9 nuclease with paired gRNAs could correct the pathogenic inversion between endogenous loci in patient-derived fibroblasts (Figure 2A). To induce a paracentric inversion between the A-B junction and B-C junction, we co-transfected Cas9 protein and paired gRNAs targeting the two junctions. We then amplified the expected inversion junctions with paracentric inversion-specific primer pairs and found that inversions were induced in cells transfected with Cas9 protein and paired gRNAs (Figure 2E). To further analyze these amplicons, we performed targeted deep sequencing and found that Cas9 nuclease could induce a paracentric inversion that corrects the pathogenic inversion with additional small insertions or deletions (indels) at the junctions in patient-derived fibroblast cells (Figure 2F). Cas9 protein and paired gRNAs could induce not only inversion, but also large deletion. To measure the inversion and large deletion frequencies induced by Cas9 nuclease and paired gRNAs, we used dilution PCR.7,18 Through this analysis, we found that using Cas9 nuclease and paired gRNAs in patient-derived fibroblast cells resulted in inversion frequencies of up to 1.6% and large deletion frequencies of up to 2.2% (Figures 2G and S4). These results demonstrate that Cas9 nuclease and paired gRNAs, which are specific to the patient’s genome, can correct the pathogenic inversions with relatively high efficiency in patient-derived fibroblasts.
We next investigated the specificity of the Cas9 nuclease with paired gRNAs targeting AB-T1, BC-T2, and BC-T3 using multiplex Digenome-seq, a method that allows unbiased assessment of potential off-target sites.19,20 Using multiplex Digenome-seq of patient fibroblast-derived gDNA, we found potential off-target sites that were cleaved by the Cas9 nuclease and validated by targeted amplicon sequencing. Of the 18 putative off-target sites identified, only one (OFF6 associated with BC-T2 and located within an intronic region) was conclusively validated by targeted deep sequencing at a frequency of 1.0% (Figure 2H). These results confirm that paired Cas9 nuclease-mediated inversion is a highly specific method with minimal off-target effects.
Cas9 nuclease with paired gRNAs restores EYA1 expression and transcriptional activity
To verify that the genome editing elicited a recovery of the EYA1 transcript, we conducted qRT-PCR with a primer set that covered the breakpoint junctions (Table S3). Targeting both combinations of sites (AB-T1 with BC-T2 and AB-T1 with BC-T3) led to a significant increase in the amount of wild-type EYA1 transcripts (Figure 3A). The recovery of the EYA1 transcript can also be confirmed at the protein level; AB-T1 and BC-T2 treatments induced a 1.3-fold increase in EYA1 protein levels, and AB-T1 and BC-T3 treatments resulted in a 1.4-fold increase (Figure 3B). To assess the potential restoration of the EYA1 transcriptional activity, we used a luciferase assay (Figure 3C). EYA1 encodes a transcriptional coactivator; the Eya domain is crucial for the formation of the EYA1-SIX1-DNA complex that regulates the transcription of target genes involved in the development of the branchial arch, otic system, and renal system.21 In this context, we used the pGL4.12[luc2CP]-MYOG-6xMEF3 construct, which incorporates a luciferase reporter along with six repeats of the MEF3 motif. Importantly, each motif exhibits a specific affinity for the EYA1 and SIX1 protein complex. Under the conditions of SIX1 overexpression, we observed that the luciferase activity in the EYA1 CGR significantly decreased to 12.7% of the wild-type levels, representing a 7.8-fold decrease. In contrast, edited cells displayed a substantial increase in luciferase activity relative to the mutant, with increases of 2.7-fold at the AB-T1 and BC-T2 sites, and 3.4-fold at the AB-T1 and BC-T3 sites. These values represent 34.1% and 43.8%, respectively, of the luciferase activity levels measured in the control cells. Furthermore, this gene editing was associated with a beneficial effect on the transcriptional activity of EYA1, as evidenced by the restoration of expression for several downstream target genes, including SOX2, GFI1, ATOH1, and NEUROG1. These genes are crucial for auditory and neural development22,23 (Figure 3D). Collectively, our data suggest that the Cas9 nuclease and paired gRNAs, designed to specifically target the paracentric inversion in the patient genome, are capable of restoring the transcriptional functionality of EYA1.
Figure 3.
Restoration of EYA1 gene expression
(A) Wild-type EYA1 transcript levels in both patient-derived and edited fibroblast cells. qRT-PCR analysis was performed, and the GAPDH mRNA levels were used to normalize the levels of EYA1 expression. Each bar represents the means of percent values (relative to the EYA1 mRNA levels in wild-type fibroblast cells) ± SD from three independent experiments. ∗p < 0.05; ∗∗p < 0.01 (n = 3, one-way ANOVA followed by Bonferroni’s multiple comparison test). (B) (Left) EYA1 protein levels were analyzed using SDS-PAGE followed by immunoblotting. (Right) For quantification, EYA1 signal intensities were normalized to those of beta-actin. Images were processed with ImageJ to be quantified. Bars represent the mean ± SD. ∗p < 0.05, ∗∗p < 0.01, ∗∗∗p < 0.001 (n = 3, one-way ANOVA followed by Bonferroni’s multiple comparison test). (C) Fibroblast cells were concurrently transfected with an MYOG promoter-driven luciferase reporter and the SIX1 wild-type construct. Relative luciferase activity (wild-type as control) was plotted as mean ± SD (n = 3). ∗p < 0.05, ∗∗p < 0.01, ∗∗∗p < 0.001 (one-way ANOVA followed by Bonferroni’s multiple comparison test). (D) Total RNA was isolated, and the target genes (SOX2, GFI1, NEUROG1, and ATOH1) of EYA1 were analyzed by qRT-PCR. GAPDH mRNA levels were used to normalize the results. Values are represented as the mean ± SD of three independent experiments (n = 3). ∗p < 0.05, ∗∗p < 0.01, ∗∗∗p < 0.001 (n = 3, one-way ANOVA with Bonferroni’s multiple comparison test).
In the literature, EYA1 CGRs involving inversions and deletions have been well-documented in BOR/BO cases.24,25 Consistent with this, our in-house database revealed that two unrelated BOR/BO families were segregated with CGRs (Figure S2), including a cryptic large inversion (Table S4). Thus, the dual CRISPR-Cas9 system developed herein has the potential to correct pathogenic SVs, including those with EYA1 CGRs, implicated in human genetic disorders.
Development of EYA1 CRISPRa for haploinsufficiency
The pathological inversion in EYA1 was anticipated to induce NMD, leading to haploinsufficiency (Figures 1D and 3A). To verify this, cells were treated with CHX, a well-established inhibitor of NMD. The treatment led to the stabilization of EYA1 mRNA, suggesting that the haploinsufficiency linked to EYA1 is dependent on the NMD pathway (Figure 4A). To investigate the potential of CRISPRa for inducing increased endogenous EYA1 expression, we transfected plasmid DNA encoding dSaCas9-VP64 and gRNA targeting the EYA1 promoter into HEK293T cells and compared the relative expression of EYA1 mRNA in treated cells and control cells (Figure 4B). Using qRT-PCR, we observed that dSaCas9-VP64 led to a substantial 4.0-fold upregulation of EYA1 mRNA expression compared with untreated HEK293T cells. To model the potential haploinsufficiency originating from a variety of mechanisms and to evaluate the performance of the CRISPRa, we engineered HEK293T cells with either monoallelic or biallelic knockouts of EYA1 (Figure 4C). We then investigated whether co-expressing dSaCas9-VP64 with either gRNA2 or 3 affected the mRNA expression of EYA1 in these cell lines. Quantitative assessments of relative mRNA abundances indicated marked increases in wild-type and monoallelic knockout cells, with up to 3.7- and 1.4-fold increases, respectively, when compared with untreated cells. In contrast, cells with biallelic knockouts exhibited no discernible alterations in mRNA levels (Figure 4D). In addition, we transfected dSaCas9-VP64 with the corresponding gRNA in patient fibroblast cells and observed that dSaCas9-VP64 led to a 1.5-fold and 1.9-fold upregulation of EYA1 mRNA expression, respectively, compared with untreated patient fibroblast cells (Figure 4E). We further analyzed transcriptional activity of EYA1 through a luciferase-based reporter gene assay, aiming to assess the potential restoration of EYA1 functionality with CRISPRa (Figure 4F). Under untreated conditions, the luciferase activity in both monoallelic and biallelic knockout cells showed substantial reductions, by 68.5% and 64.4%, respectively, compared with HEK293T cells. Conversely, cells subjected to CRISPRa had enhanced luminescence, with increases of 1.3-fold in HEK293 cells and 1.7-fold in monoallelic knockout cells relative to their untreated counterparts. Consistent with the results of mRNA levels, biallelic knockout cells were not affected by CRISPRa. In line with these observations, protein levels in CRISPRa-treated cells increased by 1.84-fold in HEK293T cells and 8.00-fold in monoallelic knockout cells (Figure 4G). Given that monoallelic knockout cells displayed approximately 30% of the EYA1 protein levels relative to their wild-type in normal conditions, we proceeded to treat these cells with MG132, a specific proteasome inhibitor, to investigate the potential role of proteolytic pathways in the modulation of EYA1 protein levels (Figure S5). This treatment effectively stabilized EYA1 protein levels, bringing the ratio between wild-type and monoallelic knockout cells to close to 50%. These observations lead us to hypothesize that proteasomal degradation may play a pivotal role in the haploinsufficiency observed with EYA1 CGR in conjunction with NMD.
Figure 4.
Designing a CRISPRa strategy to elevate EYA1 levels
(A) Relative EYA1 transcript levels were determined by qRT-PCR. Fibroblast cells were treated with DMSO or CHX (50 μg/mL) for 6 h. All values were normalized to the untreated wild-type cells data and plotted as mean ± SD (n = 3). ∗∗∗p < 0.001 (one-way ANOVA followed by Bonferroni’s multiple comparison test). (B) (Left) HEK293T cells were transfected with CRISPRa plasmid. Subsequently, qRT-PCR was used to assess the expression of EYA1, and normalized to the expressions of the GAPDH housekeeping gene. Data are presented as the mean ± SD (n = 3). (Right) Graphical depiction of EYA1 gene’s promoter region, including transcription start sites (TSSs). gRNA1–gRNA4 represent target sites of CRISPRa. (C) Schematic representation of monoallelic and biallelic EYA1 knockout cells with their genotypes. EYA1 haploinsufficiency was rescued using CRISPRa. (D) As in (B), except that dSaCas9-VP64 and either gRNA 2 or 3 were expressed in monoallelic and biallelic EYA1 knockout HEK293T cells, as well as wild-type HEK293T cells. Values represent relative mRNA levels compared with HEK293 cells without transfection (control). ∗∗∗p < 0.01 (n = 3, one-way ANOVA followed by Bonferroni’s multiple comparison test). (E) dSaCas9-VP64 mediated relative EYA1 mRNA expression in patient-derived fibroblasts. (F) The MYOG promoter-driven luciferase reporter and the SIX1 wild-type construct were introduced into HEK293T cells and variants with either monoallelic or biallelic EYA1 knockouts. Relative luciferase activity (relative to the HEK293T control) is plotted as mean ± SD (n = 3). ∗p < 0.05, ∗∗p < 0.01 (one-way ANOVA followed by Bonferroni’s multiple comparison test). (G) As in (D), except that whole cell extracts were subjected to SDS-PAGE followed by immunoblotting (top). For quantification (bottom), signals from EYA1 were normalized to those of beta-actin. Images were processed with ImageJ to be quantified. Bars represent the mean ± SD. ∗∗∗, p < 0.001 (n = 3, one-way ANOVA followed by Bonferroni’s multiple comparison test).
In the ClinVar database (https://www.ncbi.nlm.nih.gov/clinvar/), we noted that 81 disease-causing EYA1 variants (pathogenic or likely pathogenic) were implicated in BOR/BO syndrome (Figure 5A; Table S5). The majority (68%) of the documented EYA1 variants with BOR/BO phenotypes were loss-of-function, including nonsense, frameshift, canonical splicing, and SVs, resulting in haploinsufficiency (Figure 5B). Our results indicate that CRISPRa holds potential as a versatile genome editing approach to address EYA1 haploinsufficiency, including those involving CGRs, suggesting its significance for personalized genome-specific interventions. In addition, based on human genetics databases, we found no evidence of pathogenic, disease-causing overexpression of EYA1 (e.g., gain or amplification in dosage) linked with human phenotypes.
Figure 5.
Genomic landscape of disease-causing EYA1 variants implicated in BOR/BO syndrome
(A) Circos plot (https://github.com/SNUH-hEARgeneLab/WGS_analysis.) illustrating the distribution of all reported disease-causing EYA1 variants from the ClinVar database. On the outer domain, the EYA1 exons and corresponding reported variants are depicted, while the inner domain displays the EYA domain (ED) of EYA1. (B) Pie chart demonstrating the percentage of each variant type of EYA1 disease-causing variants associated with BOR/BO syndrome.
Discussion
This study highlights the importance of SVs, including CGRs and inversions, in rare disease.1,26 In the literature, various genomic rearrangements, such as cryptic inversions and large deletions, have been well documented in approximately 20% of BOR/BO cases.14,24 In certain cases, not only EYA1 but also other genes were found to be involved, resulting in BOR/BO syndrome with additional clinical phenotypes.14 Furthermore, non-allelic homologous recombination and human endogenous retrovirus elements are known to induce recurrent genomic rearrangements associated with BOR/BO syndrome.27,28 The advancement of genomic technologies, coupled with lower sequencing costs and improved data management, has made extraordinary strides toward deciphering the complex genetic architecture underlying human genetic disorder.1,29 In parallel with this, precision genome editing approaches tailored to the patient’s genome facilitate the recovery of transcriptional activity vital for target gene expression. Therefore, we believe that the dual CRISPR-Cas9 system or CRISPRa-based gene therapy could have the potential to expand the treatment landscape for human genetic disorders, even for pathogenic SVs and CGRs. However, these preclinical in vitro studies also need to be tested in in vivo models to verify efficacy and ensure safety before transitioning to clinical trials.
Previous studies have shown the potential of targeted gene addition strategies as a therapeutic approach for hemophilia A, which is often caused by pathogenic inversions of the F8 gene.30 This approach led to the restoration of F8 expression in mesenchymal stem cells and endothelial cells, which had been differentiated from gene-corrected induced pluripotent stem cells.30 Moreover, Hu et al.31 provided a gene correction strategy for hemophilia A, caused by an F8 intron 1 large sequence inversion variant, through homology-mediated end joining with a high efficiency of 10.2%.31 Genome editing using paired gRNAs has demonstrated efficient genomic modifications across various preclinical studies and even extended to human trials in the treatment of ophthalmic diseases.32,33 The human trial used paired gRNAs to target and delete the aberrant splice donor site caused by the CEP290 variant, which is commonly associated with Leber congenital amaurosis type 10, suggesting the potential of a Cas9 nuclease and paired gRNA system for therapeutic genome editing in human genetic disorders.32 Furthermore, prime editing approaches that use paired pegRNAs34 and prime editor nuclease-mediated translocation and inversion7 can facilitate programmable genome editing in mammalian cells. These approaches utilize paired pegRNAs oriented in a protospacer adjacent motif—in configuration to structure 3′ flaps on opposing genetic strands. These strategies demonstrate variances in both the synthesized flaps and the approaches used for DNA target incision.34 Although CRISPR-based genome editing technologies to correct inversion sequences are evolving, there is a lack of published evidence on the therapeutic potential of Cas9 nuclease with paired gRNAs to target disease-causing paracentric inversions in patient-derived cells.
Cas9-derived DNA DSBs at dual loci within the EYA1 gene have the potential to catalyze genomic rearrangements, as demonstrated by the paracentric inversion editing event in this study. Mechanistically, the CRISPR-Cas9 system, when used with paired gRNAs designed to target distinct genomic locations, has the potential to yield diverse modifications in DNA.35,36 The inversion generated by a dual CRISPR-Cas9 system has been demonstrated across mammalian cell lines,8,37 as well as in vivo in animal models,38 suggesting the validity of the system in engineering specific inversion mutations. Although indels occur due to the Cas9 nuclease targeting EYA1 (Figure 2F), it is thought that their occurrence may not be significantly important, as they are located in the intron regions. Encouraged by these insights, we hypothesize that paired gRNAs could be a potential therapeutic option to correct the disease-causing CGRs implicated in BOR/BO syndrome. We successfully applied the dual CRISPR-Cas9 system that specifically targeted a disease-causing paracentric inversion in patient-derived cells. The system demonstrated the significant editing efficiency, leading to the restoration of gene expression and associated transcriptional functionality. Considering that an editing efficiency of even 1%–2% in primary cells using CRISPR-Cas9 nuclease has been shown to rescue the hearing function of mice with Atp2b2 variants,39 the 1.6% editing efficiency we achieved in patient-derived fibroblasts is particularly noteworthy. The relationship between genomic editing efficiency and phenotypic recovery is intricate and not strictly linear. Considering the NMD pathway’s influence linked to haploinsufficiency, the 1.6% genomic correction observed in our study may lead to a disproportionately large recovery of EYA1’s transcriptional and translational activity. This phenomenon is consistent with observations from other in vivo gene editing studies, such as the correction of the predicted loss-of-function mutant alleles resulting in NMD, where a modest DNA edit led to a much higher mRNA edit associated with phenotypic and functional restorations.40,41 This result raises the possibility of restoring disease phenotypes, such as hearing impairment, in BOR/BO patients with EYA1 CGRs, including paracentric inversion.
CRISPRa utilizes a Cas9 variant, dCas9, which lacks nuclease activity, combined with a transcriptional activator. By targeting the EYA1 promoter, the dCas9-VP64 fusion used in our CRISPRa system increases EYA1 expression (see Figure 4B), leading to significantly improved transcriptional activity essential for target gene expression. Of the documented EYA1 variants linked with BOR/BO phenotypes, approximately 70% are described as monoallelic loss-of-function variants, including nonsense, frameshift, canonical splicing, and SVs (see Figure 5B). As a consequence, there is a state of haploinsufficiency. This suggests that CRISPRa-based gene therapies may offer substantial translational potential for approximately 70% of disease-causing EYA1 variants caused by haploinsufficiency.
Gene therapies (e.g., gene transfer or augmentation) have revolutionized the treatment landscape for human genetic disorders. However, despite their substantial clinical benefits, these therapies are met with challenges associated with the long-term durability of therapeutic efficacy. The repeated viral delivery-based gene therapy may increase the risk of viral vector integration into the genome of transduced cells, potentially increasing the oncogenesis.42,43 Furthermore, the emergence of neutralizing antibodies following the viral delivery may compromise treatment effectiveness.44 In light of these challenges, the development and refinement of CRISPR-Cas9 technology can offer precise genome editing capabilities that have shown promising results in both basic and clinical research for the treatment of various genetic conditions, including β-thalassemia.45 Additionally, the advent of CRISPR-based methodologies that do not require DNA DSBs, such as base editing and prime editing, are on the way to clinics.46 Our findings cannot ascertain a definitive superiority between CRISPR-guided genome editing and additive gene therapy for treating pathogenic SVs. While conventional gene therapy may prove effective in cases of haploinsufficiency linked to EYA1 CGR, as demonstrated herein, we emphasize that CRISPR-guided genome editing tailored to the patient’s genome, including Cas9 nuclease and paired gRNAs and CRISPRa, also offers a viable approach to rectify pathogenic SVs. EYA1 produces three isoforms through alternative splicing, which can pose challenges for gene transfer strategies. However, CRISPR-guided genome editing and CRISPRa affected endogenous gene expression, potentially inducing the expression of all isoforms. This offers a comprehensive solution for the complexity introduced by multiple isoforms. Meanwhile, for genetic diseases caused by missense mutations, such as those resulting in mutant proteins, gene editing is likely to be more advantageous compared with additive gene therapy. This is because gene editing circumvents the uncertainties associated with interactions between delivered wild-type transgenes and mutant alleles, which can be problematic in disease phenotypes. For example, the ineffectiveness of wild-type p53 gene therapy can be attributed to the dominant negative effect, where mutant p53 proteins in cancer cells bind with the introduced wild-type p53, leading to the formation of non-functional heterotetramers that fail to activate crucial tumor suppressor functions.47
In conclusion, our results pave the way for the potential development of gene editing therapeutics for the clinical application of human genetic disorders caused by pathogenic SVs such as inversion and genomic rearrangements. In particular, BOR/BO syndrome stands as a representative case where hearing impairment is the most penetrant symptom.11,13 Most branchial anomalies associated with this syndrome can be managed surgically, and the renal phenotype is rare. EYA1 plays a crucial role in the development of the ear, supporting the patterning of the otocyst and mediating the specification of the prosensory region. Given this, its influence extends beyond the inner ear to the middle and outer ears, which are important for sound conduction. Therefore, the auditory phenotypes of patients with EYA1 pathogenic variants often present as mixed hearing loss, including both sensorineural and conductive components. According to the hearing loss phenotypes in patients with BOR/BO syndrome,11,13 the SNHL component is often observed to be less severe than expected. Issues related to the middle and outer ear, which contribute to the conductive hearing loss (e.g., air-bone gap), can be significantly improved through middle ear surgeries, such as ossiculoplasty and stapedotomy.11 While improvements in the already compromised sensory epithelium during inner ear development are limited by gene editing, the deterioration of SNHL linked to reduced transcriptional activity due to EYA1 variants holds promising potential for intervention using CRISPR-guided therapies. Although in vivo AAV-mediated Cas9 expression can induce humoral and cellular immune responses,48 the inner ear presents a particularly promising target for gene therapy due to its low immunogenicity. AAV-mediated inner ear gene delivery does not trigger significant local or systemic cellular immune activation, and its compact, enclosed structure facilitates localized intervention. Previous studies have highlighted the efficacy of adeno-associated viruses (AAVs) in transducing overexpressed cDNA and gene editing materials into target cells within the inner ear.40,49 The advancements in gene editing technologies, including dual CRISPR-Cas9 system and CRISPRa with AAV-mediated sustained expression, could expand the therapeutic landscape related to human genetic disorders, and encompass conditions such as BOR/BO syndrome due to EYA1 CGRs associated with haploinsufficiency.
Materials and methods
Participants
All procedures were approved by the Institutional Review Board of Seoul National University Hospital (IRB-H-0905-041-281 and IRB-H-2202-045-1298). In this study, one BOR/BO multiplex family segregated with CGR was included in the Hereditary Hearing Loss Clinic within the Otorhinolaryngology division of the Center for Rare Diseases, Seoul National University Hospital, Korea. The demographic data and clinical phenotypes were retrieved from electronic medical records. The presence and severity of associated medical conditions were determined using the Tenth Revision of the International Statistical Classification of Diseases and Related Health Problems codes and/or features in their clinical manifestations.
Whole-exome sequencing and MLPA
Genomic DNA was extracted from peripheral blood samples and used in whole-exome sequencing via SureSelectXT Human All Exon V5 (Agilent Technologies, Santa Clara, CA, USA). Adhering to the instructions provided, we prepared a library which was then sequenced using a NovaSeq 6000 system (Illumina, San Diego, CA, USA) in a paired-end manner. Sequence reads were compared with the human reference genome (GRCh38) and processed in line with the Genome Analysis Toolkit best-practice guidelines to identify single nucleotide variants (SNVs) and indels.50 The ANNOVAR program was used for variant annotation, such as from the RefSeq gene set and gnomAD.51,52 Rare non-silent variants were selected as candidates, including nonsynonymous SNVs, coding indels, and splicing variants. We also used the KRGDB and KOVA databases for further filtration of ethnic-specific variants.53,54 We conducted a comprehensive bioinformatics analysis to detect candidate variants using a defined filtering process, as described previously.11,55,56
We also assessed the copy number status of EYA1 using a SALSA MLPA P461 DIS Probemix kit (MRC-Holland, Amsterdam, THE Netherlands). The amplification products were analyzed with an ABI PRISM 3130 Genetic Analyzer (Applied Biosystems, Foster City, CA, USA), and the results were interpreted with the aid of Gene Marker 1.91 software (SoftGenetics, State College, PA, USA).
WGS and bioinformatics
Genomic DNA was extracted from peripheral blood samples using Allprep DNA/RNA kits (Qiagen, Venlo, the Netherlands) and libraries were generated with TruSeq DNA PCR-Free Library Prep Kits (Illumina). The libraries were then sequenced on the Illumina NovaSeq6000 platform with the coverage set at an average depth of 30×. The obtained sequences were aligned to the human reference genome (GRCh38) using the BWA-MEM algorithm and PCR duplicates were eliminated using SAMBLASTER. Mutation calling for base substitutions and short indels was achieved with HaplotypeCaller2 and Strelka2, respectively. Delly was used to identify SVs. The breakpoints of the genomic rearrangements of interest were visually examined and validated. Variant filtering and assessment of their Mendelian inheritance patterns were carried out. The pathogenicity of the variants was classified using the American College of Medical Genetics and Genomics/Association for Molecular Pathology guidelines.57
Cell culture and transfection
Patient fibroblasts were maintained in DMEM supplemented with 10% fetal bovine serum and 1% penicillin/streptomycin/amphotericin. To induce the correction of pathogenic inversion, 2 × 105 patient fibroblasts were transfected with 17 μg Cas9 protein, 5 μg in vitro transcribed gRNA targeting the A-B junction, and 5 μg in vitro transcribed gRNA targeting the B-C junction using an Amaxa P3 Cell Line 4D-Nucleofector Kit (CM-137 program). Cells were analyzed 3 days after transfection.
HEK293T cells (American Type Culture Collection, CRL-11268) were maintained in DMEM supplemented with 10% fetal bovine serum and 1% penicillin/streptomycin. For dCas9-VP64-mediated EYA1 activation, HEK293T cells were seeded onto 24-well plates and transfected with 2,000 ng plasmid DNA encoding dSaCas9-VP64 and gRNA (Addgene plasmid #158990) using 3 μL Lipofectamine 2000 (Life Technologies, Carlsbad, CA, USA). After 72 h, total RNA was isolated with an RNeasy Mini Kit (Qiagen) according to the manufacturer’s instructions.
Targeted deep sequencing
Genomic DNA containing the on-target was amplified using KAPA HiFi HotStart DNA polymerase. The amplified products were designed to include Illumina TruSeq HT dual index adapter sequences. Subsequently, the amplified products were subjected to 150-bp paired-end sequencing using the Illumina iSeq 100 platform. To calculate the frequencies of indels, we used the MAUND tool, which is available at https://github.com/ibs-cge/maund.
RNA isolation and real-time qPCR
Total RNA (1 μg) was extracted from either fibroblasts or HEK293T cells using the TRIzol method, with subsequent purification via Rneasy mini-columns (Qiagen) and an incorporated on-column Dnase I treatment. The synthesis of cDNA was achieved from 2 μg of the isolated total RNA using the RT-PCR method and Accupower RT-pre-mix (Bioneer, Oakland, CA, USA). Quantitative RT-PCR assays were performed on cDNA samples diluted 1/20 using SYBR qPCR master mix (Kapa Biosystems, Wilmington, MA, USA) as the reporter dye. Primers at a concentration of 10 pM were used to detect specific gene mRNA expression. Their sequences were as follows: SOX2, forward 5′-GCTACAGCATGATGCAGGACCA-3′ and reverse 5′-TCTGCGAGCTGGTCATGGAGTT-3′; NEUROG1, forward 5′- GCCTCCGAAGACTTCACCTACC-3′ and reverse 5′-GGAAAGTAACAGTGTCTACAAAGG-3′; GFI1, forward 5′-GCTTCAAGAGGTCATCCACACTG3′ and reverse ACCTGGCACTTGTGAGGCTTCT-3′; and GAPDH, forward 5′-GAGTCAACGGATTTGGTCGT-3′ and reverse 5′- GACAAGCTTCCCGTTCTCAG-3′. The primer sequences for EYA1 can be found in the Supplementary Tables. The relative frequency of EYA1 mRNA was determined using the comparative CT method.58
Luciferase reporter gene assay
The luciferase reporter gene assay was performed, as described previously with slight modifications.11 Briefly, HEK293T cells were transfected initially with three distinct plasmids: pGL4.12[luc2CP]-MYOG-6xMEF3, pRK5-SIX1, and pRL/CMV (E2261, Promega, Madison, WI, USA). After transfection, the cells were harvested for a luciferase assay using a Dual-Luciferase Reporter Assay kit (E1910, Promega), following the manufacturer’s guidelines. Transfection efficiency was adjusted based on Renilla activity, which was assessed after co-transfection with pRL/CMV.
Statistical analysis
Statistical analyses were executed utilizing GraphPad Prism, version 10, to ensure rigorous data evaluation. For the comparative analysis involving multiple groups, we employed ANOVA, subsequently followed by Bonferroni’s multiple comparison test for precise p value calculation. Throughout the analyses, we adhered to a strict threshold of p < 0.05 to ascertain statistical significance, ensuring consistency and reliability in our findings.
Generating single cell-derived EYA1 knockout clones
HEK293T cells were maintained in DMEM supplemented with 10% fetal bovine serum and 1% penicillin-streptomycin. For the transfection, the cells were seeded in 24-well plates and co-transfected with 1,500 ng of the Cas9 expression plasmid and 500 ng of a single guide RNA (sgRNA)-encoding plasmid containing a spacer sequence (5′-ATGCCACGTACCCACAGCC-3′ on the top strand and 5′-GGCTGTGGGTACGTGGCAT-3′ on the bottom strand). Single-cell clones were generated via limiting dilutions in 96-well plates, followed by clonal expansion. Genomic DNA from these clones was isolated using Allprep DNA/RNA kits (Qiagen) according to the manufacturer’s instructions, and mutation frequencies were determined through targeted deep sequencing.
Immunoblotting
Cells were washed with PBS and lysed using RIPA buffer supplemented with protease inhibitors. The lysates combined with sample buffer were denatured at 85°C in preparation for SDS-PAGE. Subsequently, proteins were transferred to PVDF membranes. Membranes were blocked in 5% nonfat milk in TBS-T and then probed with primary antibodies. After comprehensive washing, membranes were exposed to horseradish peroxidase-linked secondary antibodies, specific to rabbit or mouse IgG. Protein bands became evident upon chemiluminescence application and were subsequently imaged. Band intensities were quantified using ImageJ software based on replicated experiments. Statistical evaluation was conducted using GraphPad Prism V5. Results with a p value of <0.05 were used to confirm significance. Sources of antibodies and working dilutions were as follows: beta-actin, anti-β-actin (A1978, Sigma, 1/10,000); anti-EYA1 (22658-1-AP, Proteintech [Rosemont, IL, USA], 1/1,000). For immunoblotting EYA1 in fibroblasts, the process begins with centrifuging patient-derived fibroblast cells for collection and washing them with PBS. The next step involves separating the nuclear and cytosolic fractions using the Subcellular Protein Fractionation Kit (Cat#78840, Thermo Fisher Scientific, Waltham, MA, USA), according to the instructions provided. To further enhance EYA1 detection in immunoblotting, the nuclear fractions are concentrated using Amicon Ultra-0.5 centrifugal filter units (Millipore, Burlington, MA, USA), ensuring a more effective analysis. This refined procedure is crucial for accurately assessing EYA1 expression.
Digenome-seq
The genomic DNA was extracted using the DNeasy Tissue kit (Qiagen) following the manufacturer’s protocol. SpCas9 nuclease, at a concentration of 100 mM, was combined with AB_T1, BC_T2, and BC_T3 sgRNAs, each at a concentration of 100 nM, and the mixture was incubated at room temperature for 30 min. This mixture was then added to 10 μg of genomic DNA in a 1000ul reaction volume containing 100 mM NaCl, 50 mM MgCl2, and 100 μg/mL BSA. After incubating the reaction mixture at 37 °C for 8 h, the digested genomic DNA underwent a secondary purification step using the DNeasy Tissue kit (Qiagen). During this purification process, RNase A (50 μg/mL) was added to remove any residual sgRNA. Cas9-mediated digested genomic DNA was subjected to WGS with a sequencing depth of 30×–40× using an Illumina HiSeq X Ten Sequencer at Macrogen. The genome sequence was mapped using the Isaac aligner and DNA cleavage sites were identified using the Digenome program, which is available at https://github.com/chizksh/digenome-toolkit2.
Data and code availability
NGS data have been deposited at SRA under accession no. PRJNA1088183.
Acknowledgments
This research was supported and funded by SNUH Kun-hee Lee Child Cancer & Rare Disease Project, Republic of Korea (FP-2022-00001-004 to S.-Y.L.), National Research Foundation of Korea (NRF) and funded by the Ministry of Education (grant number: 2022R1C1C1003147 to S.-Y.L.), SNUH Research Fund (04-2022-4010 to S.-Y.L. and 04-2022-3070 to S.-Y.L.), National Research Foundation of Korea (2020R1A2C2101714 to D.K.), Korean Fund for Regenerative Medicine (KFRM) grant funded by the Korean government (Ministry of Science and ICT, Ministry of Health & Welfare [21A0202L1-12 to D.K.]), and Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health and Welfare, Republic of Korea (HI21C1314 and HR22C1363 to D.K.).
Author contributions
S.-Y.L. and D.K. supervised the research. H.Y., Y.Y., W.H.C., H.-Y.H., and J.H.C. performed the experiments. H.S., J.-J.S, J.H.L., and S.-Y.L. carried out bioinformatics analyses. H.Y., Y.Y., W.H.C., H.-Y.H., S.-Y.L., and D.K. wrote the manuscript. All authors approved the manuscript.
Declaration of interests
The authors declare that they have no competing interests.
Footnotes
Supplemental information can be found online at https://doi.org/10.1016/j.omtn.2024.102199.
Contributor Information
Sang-Yeon Lee, Email: maru4843@hanmail.net.
Daesik Kim, Email: dskim89@skku.edu.
Supplemental information
References
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
NGS data have been deposited at SRA under accession no. PRJNA1088183.





