Abstract
Deep-intronic (DI) variants represent approximately 10%–12% of disease-causing genetic defects in ABCA4-associated Stargardt disease (STGD1). Although many of these DI variants are amenable to antisense oligonucleotide-based splicing-modulation therapy, no treatment is currently available. These molecules are mostly variant specific, limiting their applicability to a broader patient population. In this study, we investigated the therapeutic potential of the CRISPR-Cas9 system combined with the amphipathic lipopeptide C18:1-LAH5 for intracellular delivery to correct splicing defects caused by different DI variants within the same intron. The combination of these components facilitated efficient editing of two target introns (introns 30 and 36) of ABCA4 in which several recurrent DI variants are found. The partial removal of these introns did not affect ABCA4 splicing or its expression levels when assessed in two different human cellular models: fibroblasts and induced pluripotent stem cell-derived photoreceptor precursor cells (PPCs). Furthermore, the DNA editing in STGD1 patient-derived PPCs led to a ∼50% reduction of the pseudoexon-containing transcripts resulting from the c.4539+2001G>A variant in intron 30. Overall, we provide proof-of-concept evidence of the use of C18:1-LAH5 as a delivery system for therapeutic genome editing for ABCA4-associated DI variants, offering new opportunities for clinical translation.
Keywords: MT: RNA/DNA Editing, peptide-mediated delivery, CRISPR-Cas9 genome editing, lipopeptide, intron removal, ABCA4 deep-intronic variants, Stargardt disease, retina, Ribonucleoprotein
Graphical abstract
Garanto and colleagues explore a dual-gRNA strategy to partially remove intronic regions with pathogenic deep-intronic variants in ABCA4 using a C18:1-LAH5 lipopeptide conjugated to the CRISPR-Cas9 ribonucleoprotein. This approach opens new promising avenues for treating Stargardt disease and other inherited retinal diseases caused by intronic variants.
Introduction
Stargardt disease (STGD1) is the most frequently inherited macular degeneration, with a prevalence of ∼1:8,000–10,000 individuals worldwide.1,2,3,4 It is caused by biallelic variants in the ABCA4 gene,5 which encodes a transporter protein that localizes within the outer rim of the disks (rod) and invaginations (cone) of the photoreceptor’s outer segment and actively removes toxic by-products of the visual cycle.6 To date, more than 1,200 disease-causing variants have been identified and, among them, deep-intronic (DI) variants account for approximately 10%–12% of the STGD1 cases.7 These DI variants can lead to the creation of splicing regulatory elements as well as new acceptor or donor splice sites, leading to splicing defects such as pseudoexon (PE) inclusion. These splicing defects often alter the mRNA open reading frame, resulting in premature stop codons, which lead to either the degradation of the mRNA or the synthesis of a truncated and most likely non-functional protein.8 Among the 49 introns of ABCA4, there are two that present a higher density of causative DI variants. This is the case for introns 309,10,11,12,13,14,15,16 and 36,10,12,17,18 in which nine and seven pathogenic DI variants, respectively, have been described (Table S1). Most of the DI in these hot-spots are rare or ultrarare events (i.e., found in one or few individuals), with the exception of a small portion of variants that are relatively recurrent in STGD1 patients (i.e., found in more than 10 alleles according to LOVD; https://databases.lovd.nl/shared/variants/ABCA4/unique; last accessed on May 6, 2024; Table S1). One such example is variant c.4539+2001G>A,8,12,13,14,18 which is a frequent DI variant associated with this disorder.8 This causes the inclusion of a retina-specific 345-nt PE.14 The same PE can also result from the presence of two other DI variants in intron 30: c.4539+2028C>T8,14,19 and c.4539+2064C>T.11,19 Similarly, DI variants in intron 36 result in the inclusion of different PEs. For instance, c.5196+1137G>A, the most frequent variant in intron 36, causes the inclusion of a PE of 73 nt.8,15 Another relatively recurrent DI variant is c.5196+1056A>G, which generates the inclusion of a 117-nt PE.8,15
Based on the aforementioned data, these hot-spot clusters constitute regions with high therapeutic potential. Unfortunately, most of the therapeutic approaches for DI variants in ABCA4 are based on the use of antisense oligonucleotides (AONs),7,14,20,21 which, among other functions, allow the correction of splicing defects.22 Nevertheless, a limitation of these molecules is their mostly variant-specific nature, restricting their therapeutic potential to a single variant or splicing defect rather than a broader group of patients. Conversely, the CRISPR-Cas9 genome-editing technology enables precise targeting of specific regions within the genome.23 In this case, a specific guide RNA (gRNA) can guide the Cas9 endonuclease to introduce a double-strand break at a specific genomic position, as long as the protospacer adjacent motif (PAM) is present. By combining two gRNAs targeting the flanking regions of an intronic mutation hot spot, the splicing defects resulting from different pathogenic variants can be corrected using a single therapeutic approach.24,25,26 One of the limiting factors of genome editing by CRISPR-Cas9 is the efficient delivery of the Cas9 and gRNAs into the target retinal cell type.27 To solve this, various approaches have been explored, such as the use of viral-based vector systems28 or Cas9 orthologs.29 Recently, swift advancements in nonviral delivery vectors, encompassing lipid,30,31,32,33 polymer,34,35 peptide,36,37,38,39 and inorganic nanoparticle-based delivery systems,40,41,42 and nanoclews43 have firmly established nonviral delivery methodologies as a feasible substitute for viral vectors. Among them, peptides and peptide-like materials offer the possibility to extensively engineer properties that facilitate the delivery of Cas9 ribonucleoproteins (RNPs), irrespective of their size and molecular weight. Peptide-mediated Cas9 RNP delivery can be accomplished through covalent conjugation to the Cas9 protein44,45 or noncovalent ionic interactions with the overall negatively charged Cas9 RNP.37,46,47,48 With respect to covalent peptide conjugates, the Cas9 RNP remains exposed, potentially leading to degradation of the protein or single gRNA (sgRNA). Previous studies in our group demonstrated that the use of amphipathic LAH5 peptide (NH2-KKALLALALHHLAHLAHHLALALKKA-COOH), which was initially developed for the delivery of plasmid DNA,49 can be repurposed for the delivery of Cas9 RNP and shows high levels of both gene editing and gene correction across various cell types.50 Notwithstanding these promising results, data were obtained under low serum conditions, and the stability of the nanocomplexes was suboptimal and required a large excess of LAH5 peptide compared to Cas9 RNP to maintain the integrity of the nanocomplexes. To make the Cas9 RNP/peptide nanocomplexes more stable and to protect the peptide from serum-derived factors and other potentially detrimental conditions, a commonly employed strategy involves the conjugation of the peptide with a fatty acid moiety.51,52,53 Several of these lipopeptides have been tested for delivery of RNPs to a wide range of cell types.46,47,48
This study investigates the delivery of Cas9 RNPs, both alone and combined with dual gRNAs, to fibroblast and photoreceptor precursor cells (PPCs) using oleic acid-modified LAH5 peptides (C18:1-LAH5) (Figure 1A), aiming to explore a mutation-independent approach for targeting multiple DI variants in intron 30 or intron 36 of the ABCA4 gene associated with STGD1 (Figure 1B).
Figure 1.
Design of delivery approach and therapeutic strategy
(A) Schematic representation of the proposed mechanism of internalization of the RPNC designed either for gene editing or partial intron removal (PIR). In the acidic endosomal compartments, the C18:1-LAH5 lipopeptide undergoes protonation, leading to the disassembly of the nanocomplexes. This protonation event triggers the release and subsequent escape of the payload from the endosomes, facilitating its delivery to the cytoplasm. Following this, the Cas9 ribonucleoprotein (RNP) enters the nucleus, aided by nuclear localization signals (NLSs) present on Cas9. (B) Schematic representation of intron 30 (upper panel) and intron 36 (lower panel) of ABCA4 gene. The red double-stranded DNA indicates the hot-spot area in which several intronic variants causing splicing defects have been reported. The PCR amplification primers are indicated with green arrows and the designed gRNAs are shown in their target position. The size of the full-length amplicon is indicated on the right. Below, the combination of the different gRNAs together with the scheme of the expected fragment and its size at genomic level are represented.
Results
C18:1-LAH5 form stable nanocomplexes with Cas9 RNP
The design and proposed mechanism of cellular uptake of Cas9 RNP/C18:1-LAH5 nanocomplexes (referred to as RPNCs from now on) for both gene editing and partial intron removal (PIR) are depicted in Figure 1A. Dynamic light scattering (DLS) was used to monitor RPNC formation of the C18:1-LAH5 lipopeptide with RNP. The results showed that higher Cas9 RNP:lipopeptide ratios led to a decrease in the average size of the formed RPNCs. Varying the lipopeptide and RNP ratios, starting from a 50× ratio, resulted in RPNCs displaying average particle sizes ranging from 191 to 151 nm, with a polydispersity index (PDI) around 0.3 (Figure 2A). Moreover, leaving out the negatively charged gRNA in the formation of RPNCs resulted in a much bigger average particle size as measured by DLS (408 ± 44 nm) compared to those of RPNCs with gRNA, suggesting that complex formation is at least partially dependent on electrostatic interaction (Figure 2A). The ζ-potential of these RPNCs increased as C18:1-LAH5 lipopeptide concentrations increase, with ζ-potential values of approximately 2.86 mV at 50× molar ratio of lipopeptide, 3.89 mV at 200×, and 4.19 mV at 250× (Figure 2B).
Figure 2.
Characterization of RPNCs at different ratios of RNP and C18:1-LAH5 lipopeptide
(A) The particle size and polydispersity index (PDI) of the RPNC prepared at increasing molar ratios of Cas9 RNP to C18:1-LAH5 lipopeptide (20–20 nM)/increasing molar ratios of lipopeptide (RPNC) were determined using DLS. Data shown as mean ± SD (n = 3). Z-Ave parameter represents the intensity-weighted average hydrodynamic diameter of the particles in the sample and therefore describes the particle size of a sample. The higher the Z-Ave value, the larger the particle size. (B) ζ-Potential of 20 nM Cas9/gRNA (RNP) complexed with increasing molar ratios of C18:1-LAH5 lipopeptide was measured; data shown as mean ± SD (n = 3 technical repeats). (C) Electrophoretic mobility shift assay (EMSA) showing the effect of increasing C18:1-LAH5 lipopeptide concentration on RPNC formation. Controls: 1:0:0 (only GFP Cas9), 0:1:0 (only ATTO550 gRNA), 1:1:0 (RNP [GFP Cas9 and ATTO 550 gRNA]), and 0:0:1 (only C18:1-LAH5 lipopeptide). Three experimental setups were employed: (1) a combination of GFP-Cas9, ATTO550-gRNA, and the lipopeptide (indicated as RNP); (2) GFP-Cas9 along with the lipopeptide (indicated as Cas9); (3) ATTO550-gRNA in conjunction with the lipopeptide (indicated as gRNA). Within the framework of each of these configurations, the resulting RNPs were complexed with the range of lipopeptide concentrations, ranging from 0 to 250 μM.
RPNC formation was further validated by an electrophoretic mobility shift assay (EMSA). Both GFP-Cas9 and ATTO647-gRNA showed a significantly reduced mobility as the lipopeptide concentration increased with complete retention of both molecules in the gel slots at a C18:1-LAH5 molar excess of ≥50× (Figures 2C and S1).
Based on these data, we concluded that the C18:1-LAH5 lipopeptide is able to form stable complexes with RNP, starting from a 1:1:50 molar ratio relative to gRNA and Cas9 (Figure S1). Importantly, the findings also demonstrated that C18:1-LAH5 lipopeptide not only could create RPNCs with negatively charged sgRNA and RNP but could also complex with the Cas9 protein. This most likely suggests the involvement of non-electrostatic hydrophobic interactions (Figure S1).
Effective uptake of RPNCs in HeLa cells
To visualize cellular uptake of the RPNCs, fluorescence confocal imaging was conducted 24 h after RPNC addition, in which the RPNCs were fluorescently labeled with GFP-Cas9 or with ATTO550-gRNA (Figure 3A). The confocal microscopy images showed internalization of RPNCs into cells, which is shown by the green and red signals from GFP-Cas9 and ATTO550-gRNA, respectively (Figure 3A). As expected, the cell-associated fluorescence of GFP-Cas9 and ATTO550-gRNA was notably enhanced for RPNCs as compared to free Cas9 RNP (Figures 3A, S2A, and S2B). Both punctate fluorescence (reminiscent of endocytic uptake) and more faint, diffuse fluorescence (suggesting cytosolic delivery) could be observed, especially for the gRNA signal. This observation highlighted the ability C18:1-LAH5 lipopeptide to augment the internalization of RNP. Notably, a fainter LysoTracker fluorescence intensity was observed in samples incubated with RPNCs containing GFP-labeled Cas9 compared to GFP-Cas9 RNPs (Figures 3A and S2C). As the fluorescence intensity of LysoTracker as well as its retention in endosomes and lysosomes is pH dependent, this suggests that endosomal uptake of RPNC leads to an increased pH within the endosomal lumen, which may be an indirect indication of disruption of the pH gradient over the endosomal membrane as a consequence of membrane disruption by the LAH5 peptide.
Figure 3.
Cellular uptake of RPNC and functional delivery of Cas9 RNP as measured by heteroduplex cleavage with T7E1 at the targeted CCR5 locus
HeLa cells were treated with two different RPNCs, consisting of RPNC including GFP-Cas9/gRNA/C18:1-LAH5, or non-labeled Cas9/ATTO550-gRNA/C18:1-LAH5, at a molar ratio of 1:150 for RNP formulation. Negative controls consisted of Cas9 RNP without the inclusion of C18:1-LAH5. The same contrast and brightness were used for control and C18:1-LAH5 conditions in each fluorescence channel. (A) HeLa cells were transfected with 20 nM eGFP-Cas9/gRNA and 20 nM non-labeled Cas9/ATTO550-gRNA either without (upper) or with (lower) C18:1-LAH5. Twenty-four hours after transfection, the lysosomes were stained with LysoTracker (red or green) for 30 min before fluorescence microscopy images were taken at 60× magnification. Scale bar, 50 μm. (B) Functional delivery was evaluated using a T7EI assay. Genomic DNA was extracted from both the control and treated samples, and an 800-nt fragment of the CCR5 locus was amplified by PCR. Subsequently, the PCR product was digested with T7EI to examine heteroduplex formation. The frequency of indels was calculated using the equation provided in the “materials and methods” section.
To confirm cytosolic and subsequent nuclear delivery of Cas9 RNP complexes with RPNCs, a prerequisite for gene editing, Cas9-mediated genomic indel formation at a randomly chosen target locus (CCR5 gene) was assessed with a T7 endonuclease 1 (T7E1) assay. DNA samples from cells treated with RPNCs showed the distinctive DNA cutting bands of 276 and 441 nt indicating the formation of DNA heteroduplexes at the target locus. Band-intensity calculations yielded an indel frequency of 29.9% for the RPNC (Cas9 RNP/C18:1-LAH5)-treated sample (Figure 3B). These findings demonstrate that Cas9 RNP complexation with an excess of C18:1-LAH5 lipopeptide resulted in effective intracellular delivery of intact Cas9 RNP, leading to subsequent gene editing within the cell nucleus.
RPNCs mediate efficient gene editing in reporter cells
After characterizing RPNCs, we evaluated their gene editing efficiency within two distinct reporter cell lines: HEK293T stoplight54 and eGFP HEPA 1–6 cells55 (Figure 4). Additionally, alongside RPNCs including C18:1-LAH5, RPNC formed with LAH5 peptide50 was also examined. Of note, HEK293T stoplight cells continuously express mCherry. The CRISPR-Cas9 system was used to induce indel formation downstream of the mCherry coding sequence, which for +1 or +2 frameshift mutations leads to co-expression of eGFP54 (Figure 4A). Conversely, eGFP HEPA 1–6 cells exhibit constitutive eGFP expression, with the loss of eGFP signal indicating gene editing (Figure 4B).
Figure 4.
RPNC formulation optimization for gene editing in HEK293T stoplight and eGFP HEPA 1–6 reporter cells
(A) Schematic illustration of HEK293T stoplight cells reporter construct. These cells constitutively express mCherry and will start to express eGFP upon introduction of a +1 +2 frameshift within the linker region downstream of the mCherry gene. (B) Gene-editing efficiency for both LAH5 peptide and C18:1-LAH5 lipopeptide is represented by the e-GFP induction. Formulations ranging from 0 to 5 μM peptide concentrations were tested on HEK293T stoplight cells and quantified by flow cytometry. Representative analysis of flow cytometry analysis can be found in Figure S18. (C) Schematic illustration of the mechanism for peptide-mediated RNP delivery and the mechanism of reporter eGFP HEPA 1–6 cells. The reduction in the eGFP signal serves as an indicator of gene editing. (D) The quantification of gene-editing efficiency was quantified using flow cytometry 5 days after transfection, wherein the percentage of eGFP knockout was measured. eGFP knockout efficiency of RPNC (RNP/peptide) compared with negative (NT) and positive (CRISPRMAX, in green) controls. To assess optimal RPNC dose for gene editing, eGFP HEPA 1–6 cells were exposed to RPNCs prepared with either LAH5 or C18:1-LAH5 lipopeptide at various molar ratios ranging from 1:50 to 1:250. Representative flow cytometry analysis can be found in Figure S19. Data are shown as the mean ± SD (n = 3), Tukey’s multiple comparisons test (ns, non-significant; ∗p < 0.05, ∗∗p < 0.01, ∗∗∗p < 0.001, ∗∗∗∗p < 0.0001).
Prior to transfection, the potential cytotoxicity of the RPNCs to HEK293T stoplight and eGFP HEPA 1–6 cells was assessed using an MTS assay (Figures S3A and S3C). The results showed that RPNCs made with RNP:lipopeptide ratios ranging from 1:50 to 1:250 maintained over 80% cell viability in both HEK293T and eGFP HEPA 1–6 cells after 24-h incubation (Figures S3A and S3C).
To assess delivery efficiency, HEK293T stoplight cells and eGFP HEPA 1–6 cells were incubated with RPNCs containing a constant Cas9 RNP concentration of 20 nM alongside increasing concentrations of either LAH5 peptide or C18:1-LAH5 lipopeptide for 48 h. Cellular fluorescence was quantified via flow cytometry. This analysis revealed that increasing peptide concentrations in the presence of a fixed Cas9 RNP concentration (20 nM) led to augmented gene editing, regardless of peptide type in RPNCs or cell type (Figures 4C and 4D).
At the optimal RNP:peptide ratio, which was determined to be 1:250 for both types of RPNC, we achieved a 40% induction rate of eGFP in HEK293T stoplight cells and a 31% knockout rate of eGFP in eGFP HEPA 1–6 cells using RPNC (RNP/LAH5). However, the utilization of RPNC (RNP/C18:1-LAH5) led to a significant enhancement in gene editing efficiency, reaching a 63% induction rate of eGFP in HEK293T cells and 66% knockout rate of eGFP in eGFP HEPA 1–6 cells (Figures 4B and 4D). Remarkably, RPNCs (RNP/C18:1-LAH5) exhibited notably higher gene editing efficiencies when compared to the commercial positive control CRISPRMAX for RNP delivery in both cell types, and this difference reached statistical significance (p < 0.01) in the eGFP HEPA 1–6 cells (Figure 4D). Conversely, RPNC (RNP/LAH5) displayed lower gene-editing rates in both cell types compared to CRISPRMAX (Figures 4B and 4D).
At RNP/peptide ratios of 1:150 and 1:250, RPNCs formulated with C18:1-LAH5 lipopeptide distinctly outperformed the LAH5 RPNCs in both cell types (Figures 4B and 4D). This indicates that the increased effectiveness of the peptide-mediated delivery system can be ascribed to the incorporation of a C18:1 fatty acid tail. In HEK293T stoplight cells treated with RPNC (RNP/C18:1-LAH5) consistently achieved approximately 60%–70% gene editing at all tested lipopeptide ratios (Figure 4B). Conversely, RPNCs (RNP/LAH5), particularly at lower peptide ratios such as 1:50, achieved a gene editing rate of only about 10% (Figure 4B). These findings highlight the increased stability and superior performance of RPNCs formulated with C18:1-LAH5 across different ratios and reporter cells.
Having demonstrated that RPNCs can efficiently induce gene editing via Cas9-mediated targeted indel formation in various cells in culture, we next investigated the deletion of intronic regions from the genome as a means to correct DI variants leading to STGD1.
Design and test of gRNAs on genomic DNA level in HEK293T cells showed high efficiency in editing both intron 30 and intron 36
Based on the fact that there are two introns in which a significant number of DI variants are found (intron 30 and intron 36), we hypothesized that the partial removal of the corresponding intron could be a therapeutic strategy to target multiple DI variants simultaneously. Different gRNA sequences were designed along introns 30 and 36 (upstream and downstream of the variant cluster, respectively). We hypothesized that, by combining two gRNAs (one upstream and one downstream of the DI cluster), the cluster can be removed, leading to the prevention of PE formation. In total, 12 gRNAs were designed for intron 30 (Table S2). The same approach was followed for intron 36, for which a total of six gRNAs were designed to remove the pathogenic DI-variant-containing region present in this intron (Table S2).
Hereafter, gRNA sequences were individually cloned into plasmid pX458, which expresses the Cas9 protein alongside the designed gRNAs. Subsequently, gRNAs were tested in pairs in HEK293T cells to assess their genome-editing capacity (Figure S4). From all the tested pairs, the two best-performing pairs were selected to conduct the following experiments in other cellular models. For intron 30, the pair 30 1 + 2 and 30 3 + 4 were selected, since both presented the best editing efficacies. Besides this, pair 30 1 + 2 was able to remove a bigger part of intron 30, including eight out of nine of the pathogenic variants on Table S1 (c.4540-5T>A is not covered) (Figure S4; left). In intron 36, pairs 36 1 + 2 and 1 + 3 were selected as they showed the highest editing levels. Moreover, again these two combinations removed a region of intron 36 of 1,563 or 1,268 nt, respectively, thus increasing the number of variants that could benefit from this approach (Figure S4, right). Both pair 36 1 + 2 and pair 36 1 + 3 were able to target four out of six pathogenic variants listed on Table S1 (c.5196+1013A>G, c.5196+1056A>G, c.5196+1137G>A, and c.5196 +1216C>A).
RPNCs for PIR led to efficient co-delivery of both gRNAs and Cas9 into cells
After demonstrating the functionality of the two gRNAs for PIR, we next formulated both gRNAs into RPNCs. RPNC characterization containing two gRNAs revealed that, above Cas9:gRNA:C18:1-LAH5 lipopeptide ratios of 1:2:50 to 1:2:250, both guides were complexed, leading to stable RPNCs in the size range of 150–175 nm (Figures 5A and 5B). NanoFCM analysis, a flow-cytometry-based method to determine size and fluorescence intensities of single RPNCs within the size range of 50–2,000 nm, confirmed the presence of both gRNAs in individual RPNC, as shown in Figures 5D and S5 and Table S3. The majority of RPNCs were double positive, and only a small fraction of RPNCs contained a single gRNA RNP. Control sample containing the same amount of Cas9 RNP but without the C18:1-LAH5 lipopeptide showed around 70-fold fewer events (Figures 5C and S5C), indicating that RPNC formation requires the presence of C18:1-LAH5. The few events that are visible are most likely Cas9 RNP aggregates.
Figure 5.
Representation of the characterization, simultaneous delivery, and cellular uptake of RPNCs with two different gRNAs for the application of PIR
(A) Particle size and ζ-potential characterization of RPNCs formulated with Cas9 and gRNA at a 1:2 M ratio and with increasing amounts of C18:1-LAH5 lipopeptide (molar ratios indicated as Cas9/gRNA1/gRNA2-lipopeptide), diameter values in nanometers (d.nm) and PDI shown as mean ± SD (n = 3), ζ-potential (mV) shown as mean ± SD (n = 3 technical replicates). (B) EMSA of RPNCs assembled with Cas9/RNP with two different gRNAs. GFP Cas9, ATTO550-gRNA1, and ATTO647-gRNA2 prepared using these labeled components were used as controls to visualize all separate components. Following complex formation in presence of non-labeled lipopeptide, the samples were analyzed using a 1.5% agarose gel. (C and D) RPNC characterization by NanoFCM, a flow cytometry method to determine size and fluorescence intensities of single nanoparticles >∼50 nm in size. (C) Free Cas9 RNP containing ATTO488-gRNA1 and ATTO647-gRNA2 show only a few events, most likely aggregated Cas9 RNP proteins with sizes >50 nm. (D) RPNC forming from Cas9 RNP and C18:1-LAH5 lipopeptide complexation showed more events, of which 84% were double positive for Cas9/ATTO488 gRNA1 and ATTO647. (E) Confocal imaging of time-dependent cellular uptake of RNP (GFP-Cas9, ATTO550-gRNA1 and ATTO647-gRNA2/C18:1-LAH5 [RPNC]) in HeLa cells. Scale bar, 30 μm.
Confocal imaging was conducted to assess cellular uptake of RPNCs containing GFP-Cas9, ATTO550 gRNA1, ATTO647 gRNA2, and C18:1-LAH5 over time, as illustrated in Figures 5E and S6. In this experiment, HeLa cells were incubated with RPNCs for PIR. Confocal microscopy analysis revealed a synchronized increase in fluorescence intensities of all three labeled components, suggesting co-delivery of these components into these cells. This uptake process occurred consistently over a time span from 2 to 24 h (Figure 5E).
Genome editing was achieved in control and patient-derived fibroblast cells
Having confirmed that the C18:1-LAH5 RPNC can efficiently co-deliver Cas9 RNP with two different gRNAs, we next aimed to apply this to partially remove the pathogenic DI-variant-containing region in introns 30 and 36 of the ABCA4 gene as a potential therapeutic approach (Figure 1B). To this end, fibroblast cells derived from both a healthy individual and an STGD1 patient carrying the variant c.4539+2001G>A in a heterozygous manner were treated using RPNCs. One of the gRNA pairs was selected to determine the best transfection conditions. The optimal ratio of Cas9:gRNAs/C18:1-LAH5 to make RPNCs for PIR was determined by a dose-curve experiment (Figure S7A). Once the optimal conditions were established, the RPNCs were delivered to both control and patient cells. In both cases, RPNC delivery was performed and was followed by a 10-day trans-differentiation protocol to boost the expression levels of ABCA4 mRNA and PE. Of note, as the ABCA4 pathogenic variant (c.4539+2001G>A) present on the patient line is located in intron 30, only the gRNAs against that region were tested in this patient cell line allowing DNA and RNA analyses of the genome-edited cells. In contrast, the gRNA pair for intron 30 and the gRNA pair of intron 36 were both tested in the control fibroblast line to evaluate the genome-editing capacity at the DNA level. For intron 30, our results showed that the gRNA pair 30 1 + 2 was capable of partially removing intron 30 with higher efficacy than the gRNA pair 30 3 + 4 in both control and patient fibroblasts. However, the editing levels in both cell lines were quite similar, being around 74% ± 23% and 78% ± 14% of editing in control and patient fibroblasts, respectively (Figure 6A). In some cases, we also observed some unspecific bands. However, these are also detected in the non-treated conditions pointing to PCR artifacts rather than a non-desired off-target effect of gene editing.
Figure 6.
Analysis of PIR efficacy of RPNC-mediated editing in fibroblasts at DNA level either in intron 30 or intron 36 of the ABCA4 gene
(A) (Upper panel) A representative electrophoresis gel of the amplification of intron 30 by PCR in both control and patient fibroblast cell lines. Edited band 1 (E1) indicates the expected edited band after treating with gRNAs 30-1 and 30-2 while the edited band 2 (E2) represents the expected band after the editing with gRNAs 30-3 and 30-4. The 5′ UTR of RPE65 was amplified as loading control. (Lower panel) A graph chart representing the overall result of the conducted replicates (n = 4) indicating the percentage of the full-length (FL) amplicon, without editing and the percentage of editing (edited band, E) for each condition. Each bar is represented by the mean ± SD (n = 4). In addition, some unspecific amplifications were observed that did not correspond to the expected products following editing and amplification. (B) (Upper panel) A representative electrophoresis gel of the amplification of intron 36 of ABCA4 by PCR in control fibroblast. In this case, the edited band 1 (E4) represents the expected band after treating with RPNCs, including gRNAs 36-1 and 36-2, while edited band 2 (E3) indicates the expected edited band after gRNAs 36-1 and 36-3 mediated editing. The 5′ UTR of RPE65 was amplified as loading control. (Lower panel) A graph bar representing the percentage of FL, edited (E), and unspecific amplicons per condition. Each bar is represented by the mean ± SD (n = 2). MQ indicates the negative control of the PCR; NT, non-treated cells; Pept, cells treated with the lipopeptide but without Cas9 or gRNAs (negative control of the transfection). CHX indicates if cell were treated with (+) or without (−) cycloheximide 24 h before harvesting. Statistical significance with respect to the untreated condition (NT+) is indicated as ∗∗p < 0.01 or ∗∗∗∗p < 0.0001 using one-way ANOVA followed by Bonferroni correction.
The gene editing detected in intron 36 in the control fibroblast cell line revealed that both pairs of gRNAs (gRNAs 36 1 + 2, and gRNAs 36 1 + 3) were able to induce the partial deletion of intron 36 (Figure 6B). The efficacy of both gRNA pairs was similar to, albeit slightly higher than, gRNA pair 36 1 + 2 as compared to the gRNA pair 36 3 + 4 (∼41.8% ± 17% versus ∼35% ± 22%). In this case, we observed unspecific bands in the edited conditions but not in the treated samples. However, sequencing analysis did not reveal any clear sequences associated with the gRNAs or the intron 36 region.
In addition to DNA analysis, RNA was examined to determine if genome editing corrected the splicing defect caused by the c.4539+2001G>A variant. Initially, we investigated the splicing pattern by selectively amplifying an amplicon from exon 30 to exon 31 (Figure S8A). Our analysis did not reveal statistically significant differences between the non-treated (NT) conditions and those treated with gRNAs, while we could confirm both the success of the trans-differentiation and the nonsense-mediated decay (NMD) inhibition with cycloheximide (CHX). We also assessed the presence of the 345-nt PE using primers from the PE to exon 31. No significant differences in PE exclusion were observed between treated and NT fibroblasts (Figures S8B and S8C). These results are probably explained by the detectable, but still low, ABCA4 mRNA levels even after trans-differentiation and treatment with CHX. Finally, we evaluated the expression levels of the PE in both control and fibroblast by specific primers using qPCR (Figure S8C), and none of the edited samples showed significantly different expression levels.
Based on all the aforementioned results, gRNA pairs 30 1 + 2 and 36 1 + 2 were selected for studies in PPCs, in which ABCA4 and the PE are robustly detected.14
Genome editing in PPCs showed different efficacies in control and patient cells, but PIR was successfully achieved
Induced pluripotent stem cell (iPSC)-derived PPCs are a heterogeneous culture of retinal-like cells that have been shown to have increased expression levels of ABCA4.7,14,56 Similarly to the studies in fibroblasts, a dose-curve pre-analysis confirmed that the optimal ratio of RPNC for PIR was Cas9:gRNAs/C18:1-LAH5 1:2:150 (Figure S7B) in PPCs. In these studies, two iPSC-derived PPC cultures were employed: the patient cell line carrying the c.4539+2001G>A variant on ABCA4 in a heterozygous manner derived from the fibroblast cells used in the previous section57,58 and its corresponding isogenic control iPSCs.57,58 As was done in fibroblasts, intron 36 gRNAs were only evaluated in the isogenic control PPC line. The previously identified most efficacious pairs of gRNAs for both introns were evaluated (gRNA pair 30 1 + 2 and 36 1 + 2). In the case of the control line, the editing levels reached ∼32%–40% for the RPNCs containing gRNA pair 30 1 + 2 in intron 30 (Figure 7A, left), while, in the patient cells, it showed a slightly higher efficacy, between ∼35% and 47% (Figure 7B). The efficacy of the RPNCs with the pair 36 1 + 2 for intron 36 only reached ∼15% editing (Figure 7A, right). To further confirm that partial removal of the intron did not affect splicing in a retinal context, we conducted RT-PCR analyses by detecting amplicons spanning multiple exon-exon junctions in intron 30 (from 27 to 34) and intron 36 (from exon 34 to 38), as shown in Figure S9. Our analysis revealed that removing (large) portions of these introns did not affect splicing or the ABCA4 levels in treated PPCs.
Figure 7.
Analysis of the effectiveness of the RPNC-mediated gene editing in photoreceptor precursor cells at genomic DNA level
(A) Isogenic control PPCs and (B) patient-derived PPCs. (A) (Top) Representative electrophoresis gels of the amplification of the intron 30 (left) or intron 36 (right) of ABCA4 by PCR. In each, the FL amplicon and the expected edited bands (E1 or E4) after the treatment with the selected gRNAs (gRNAs 30 1 + 2 for intron 30 of ABCA4 and gRNAs 36 1 + 2 for intron 36 of ABCA4, respectively) were indicated on the right edge of the gel. The 5′ UTR of RPE65 was amplified as loading control. (Below) A graph chart representing the overall result indicating the percentage of the FL amplicon and of the edited band (E) for each condition. Each bar is represented by mean ± SD (n = 3). (B) On the left, a representative electrophoresis gel of the amplification of intron 30 of ABCA4 by PCR in patient-derived PPCs. FL amplicon and edited (E1) band were indicated at the right side of the gel. The 5′ UTR of RPE65 was amplified as loading control. On the right, a graph bar representing the average result in which each bar is represented by the mean ± SD (n = 3 for all conditions, except gRNAs 30 1 + 2 CHX+, n = 4). MQ indicates the negative control of the PCR; NT, non-treated cells; P + C, cells treated with lipopeptide and Cas9 RNP but not with gRNAs; Pept, cells treated only with lipopeptide; Cas9, cells treated only with Cas9 RNP. CHX indicates if cell were treated with (+) or without (−) cycloheximide 24 h before harvesting. In all graph bars, a statistical significance with respect to the untreated condition (NT+) is indicated as ∗p < 0.05, ∗∗p < 0.01, ∗∗∗p < 0.001, and ∗∗∗∗p < 0.0001 using one-way ANOVA followed by Bonferroni correction.
Upon confirming genome editing at the DNA level and subsequent unaffected RNA splicing pattern, samples were used to investigate if the insertion of the PE was reduced. Similarly to the fibroblast samples, we initially assessed the splicing pattern through RT-PCR spanning from exon 30 to exon 31 (Figure 8A) to have a small amplicon for better visualization and determination of the PE. While the conditions treated with the RPNCs exhibited a reduction of the PE-containing transcript, it was not statistically significant. However, upon specific analysis and determination of the PE transcript by RT-PCR, a statistically significant decrease of the PE-containing transcripts was detected compared to the NT control, both with and without CHX treatment prior to harvesting (Figure 8B). Considering both conditions (with and without CHX treatment), there was an ∼50% reduction in transcripts containing the PE. We confirmed this observation by qPCR in which we detected a significant reduction of those transcripts when comparing NT and RPNC conditions after CHX treatment (Figure 8C). These results therefore confirmed that the genome editing observed could significantly reduce the insertion of the PE in mRNA transcripts. Using RNA analysis, the quality of the PPC differentiation was characterized by assessing the expression of several retinal markers. The results showed a similar pattern to that observed in previous differentiations (Figure S10).56,59,60
Figure 8.
Analysis of the effect of the genome editing of intron 30 of ABCA4 gene in PPCs at the RNA level
(A) RT-PCR from exon 30 to exon 31 of ABCA4 (n = 3 for all conditions, except for gRNAs 1 + 2 CHX+, n = 4). (Top) A representative electrophoresis gel of the RT-PCR, below the bar graph showing the normalized PE-containing transcripts in comparison with the NT + condition of control or patient fibroblast. Each bar represents the mean +SD. (B) RT-PCR specifically amplifying the PE (n = 3 with the exception of gRNAs 30 1 + 2 CHX+, n = 4). (Top) A representative electrophoresis gel of a specific RT-PCR that specifically amplified the PE in patient PPCs (n = 3) is shown. (Bottom) The quantification of the transcripts was normalized against ACTB and the NT + condition (which is set to 1). (A and B) ACTB was amplified as loading control; MQ indicates the negative control of the PCR. CHX indicates if cell were treated with (+) or without (−) cycloheximide (CHX) 24 h prior to harvesting. Statistical significance with respect to the corresponding untreated condition (NT) is indicated. ∗p < 0.05 or ∗∗∗p < 0.001 (one-way ANOVA followed by Bonferroni correction). (C) qPCR analysis directly amplifying the PE in the control and patient line (n = 3 with exception of samples for gRNAs 30 1 + 2 whose n = 4). Each condition was normalized against GUSB and then compared with the NT+ condition of each cell line. (A–C) CHX indicates if cells were treated with (+) or without (−) CHX 24 h prior to harvesting. Statistical significance with respect to the untreated condition (NT+) is indicated as ∗p < 0.05 or ∗∗∗p < 0.001 by t test.
Considering the observed reduction of the PE in the ABCA4 transcripts at RNA levels, we further investigated the protein expression levels of ABCA4 in PPCs following 12 days of RPNC with gRNAs 30 1 + 2 delivery (Figure S11). Notably, neither the isogenic control nor the patient-derived PPCs exhibited discernible differences in ABCA4 protein expression between the NT conditions and samples treated with the RPNC, regardless of the presence or absence of gRNAs.
On- and off-target analysis revealed no off-target effects and the correct cleavage of intron 30
Upon confirming intron-30 scission by DNA analysis and decrease of PE insertion by RNA analysis, we proceeded with the evaluation of possible off-target effects caused by RPNCs in combination with the pair of gRNAs 30 1 + 2. To achieve this, we combined whole-genome sequencing (WGS) and targeted PacBio analysis.
Particularly, DNA samples for all replicates of both the NT PPCs and RPNC (gRNA pair 30 1 + 2) transfected samples (CHX−) were analyzed by WGS. The resulting data were filtered, and the output sequence was analyzed in the potential off-target areas based on on-line predictions. For the gRNA 30-1, none of the off-target potential areas (Table S4) present alterations that could be directly related to the transfection of the gRNAs (summary in Figures S12 and S13). Similarly, the off-target analysis on gRNA 30-2 also did not reveal any undesired effect that can be related to the gRNA transfection (summary in Figure S13).
Furthermore, to assess the on-target effect of such a big deletion, we employed long-read PacBio targeted sequencing. For that, the editing efficacy was analyzed in NT cells and edited cells; samples were not subjected to CHX treatment prior to harvesting. The analysis of the sequencing files clearly confirmed a partial deletion of the intron 30 of ABCA4 in approximately 30% of the reads in both control and patient samples (Figure S14). Furthermore, we analyzed the editing junctions (Figure S15) and established a repair profile after partial intron 30 removal using RPNC with the gRNA pair 30 1 + 2 (Figure S16). In total we identified 44 editing events present in the isogenic control and/or the patient PPCs (Table S5). Among them, the top three sequences accounted for ∼82% of all reads and were shared between isogenic control and patient edited PPCs, with almost identical ratios (Figure S16; Table S5). Altogether, these analyses confirm that the gRNAs employed in PPCs were efficacious and specific, as no undesired effects were observed, making them attractive to be employed as a therapeutic approach for STGD1 cases caused by pathogenic variants of intron 30 of the ABCA4 gene.
Discussion
The utilization of CRISPR-Cas9 in genome editing presents significant promise for scientific research and medical applications.6,61,62,63,64,65,66,67,68,69,70 However, the efficient delivery of CRISPR-Cas9 components into cells remains a challenge crucial for successful genome editing. Previous nonviral delivery systems, such as lipid-based nanoparticles,30,32,33,71 gold nanoparticles,72,73 DNA nanoclews,43 polymer-based particles,34,35 and extracellular vesicles,63,74 while explored extensively, have limitations, including toxicity, reduced editing efficiency, complex formulation, and instability.
In our research, we identified the amphipathic peptide, LAH5, as a particularly efficient transporter for the delivery of ribonucleoprotein complexes (RNPs) across various cell lines.50 In addition, we demonstrated that complexation and co-delivery of a single-stranded DNA (ssDNA) homology-directed repair (HDR) template with Cas9 RNP using the LAH5 peptide as transfection reagent exhibited efficient gene correction via HDR in a reporter cell line.50 Nonetheless, it is pivotal to underscore that these levels of gene correction were achieved within transfection conditions characterized by reduced serum content in the culture medium. To enhance the resilience of the peptide against factors originating from serum and other potentially adverse influences, a frequently employed approach entails conjugating the peptide to a fatty acid moiety, typically in the form of a compact lipid tail.51,52,53 In addition, recent investigations have introduced a range of delivery methods employing peptides modified with fatty acids (known as lipopeptides). In these studies, proficient delivery of RNPs across various cell types was demonstrated.46,47,48 Therefore, in this work, we used oleic acid (C18:1)-modified LAH5 peptide (C18:1-LAH5). We showed that the RPNCs formulated with the C18:1-LAH5 lipopeptide outperformed LAH5-formulated counterparts at RNP/peptide ratios of 1:150 and 1:250 in multiple cell types (Figures 4B and 4D). The ability of C18:1-LAH5 to form RPNCs with high capacity for encapsulating Cas9 protein and gRNA is shown in Figures 2B–2D, 5D, and S5C. Our interest extended to evaluating its enhanced stability and superior performance across various ratios and reporter cell types. This was affirmed through gene-editing efficiency studies in HEK293T and HEPA 1–6 cells (Figures 4B and 4D), aligning with existing literature.46,47,48 Collectively, these findings firmly establish the superiority of C18:1-LAH5 over LAH5 as a vector for delivering Cas9 RNP.
Based on these results, we then tested the C18:1-LAH5 lipopeptide to deliver Cas9 RNP into different cell models to assess the suitability of genome editing as an approach to correct the effect caused by DI variants in the ABCA4 gene. Currently, the use of AONs is the most explored treatment approach to correct the splicing defects caused by DI variants, especially in large genes such as ABCA4 or USH2A, in which gene-augmentation therapy is not feasible with a single adeno-associated virus (AAV) vector.75 However, the main limitation of using AONs to treat these splicing defects is that the molecules are mainly variant specific, limiting the number of patients that can be treated with a single therapeutic molecule. In addition, several intravitreal injections are required per year. Removing a large intron section by genome-editing approaches, as shown in this work, increases the number of patients eligible for the same therapeutic approach. In addition, because CRISPR-Cas9 acts at the DNA level, the correction can be permanent, potentially allowing for single-dose treatment. As we sought to maximize the performance of the C18:1-LAH5 lipopeptide by using two gRNAs flanking the intron region to be excised, we needed to fully evaluate its capabilities. A critical aspect was to confirm that C18:1-LAH5 could successfully deliver Cas9 protein and two gRNAs simultaneously into the cytosol of target cells. The results derived from our live-cell confocal imaging investigations provide strong confirmation for this approach (Figures 5E and S5). Considering the robust interaction observed between the C18:1-LAH5 lipopeptide and the Cas9 RNP (Figure 5B), alongside its notable capability for RPNC formation (Figures 5D, S5B, and S5C) and its favorable safety profile (Figures S3A–S3C), this compound emerges as a promising candidate for the therapeutic strategy we had envisioned.
We further validated that RPNC is indeed a potent delivery vehicle by demonstrating the translational possibilities by assessing the editing in control and patient-derived fibroblasts and PPCs. However, the correction effect at RNA level (i.e., decrease of PE insertion) after genome editing was only clearly detectable in the PPC model and not in the fibroblast cells. This is probably because ABCA4 mRNA levels were still very low even after trans-differentiation and treatment with CHX. To boost that expression but also increase the PE detection (as we have previously shown that, in regular fibroblasts, the PE is not detected),14 we used a small-molecule-based approach adapted from a viral delivery trans-differentiation protocol previously described.76 However, in our hands, the viral delivery of the different transcription factors did not induce any effect, but, by only replacing the medium with the different small molecules, ABCA4 expression as well as the detection of the PE increased. Still, these levels are relatively low compared to other cellular systems such as PPCs or retinal organoids. Therefore, the lack of conclusive results at RNA level might be related to the limit of detection of the overall approach.
When we focused on the results obtained at the DNA level in the patient PPC line, we demonstrated that the editing efficiencies were consistent independently of the method (PacBio sequencing or agarose gel) we employed. In PPCs, an editing efficiency of ∼35%–47% led to a reduction of ∼50% of PE-containing transcripts (considering both conditions, with and without CHX treatment, respectively), suggesting a good correlation between DNA editing and reduction of transcripts containing the PE at the RNA level. One could think whether this would be enough for therapeutic rescue. Modeling studies have predicted that ∼30%–35% of ABCA4 function is needed to have normal function and therefore not cause STGD1.77 Based on the ∼38%–50% observed transcripts without PE, PIR of one allele could reach at least 20%–25% rescue. However, one of the risks of removing big pieces of introns is to indirectly remove important splice enhancers or silencers that can affect the splicing pattern and overall ABCA4 expression levels. We observed that the splicing pattern in our RT-PCR analysis from exon 30 to exon 31 of ABCA4 did not present any new transcripts after editing (Figures 8A and S8A), but we also evaluated the expression of ABCA4 mRNA by qPCR (Figure S17). Our findings suggest an increase in the wild-type transcript following RPNC treatment in patient PPCs. However, this increase did not reach statistical significance, likely because the other allele produces high levels of this transcript. In addition, we did not observe any differences in the expression levels between conditions in the isogenic control PPCs, suggesting overall that the PIR of intron 30 did not affect the splicing process.
In addition, ABCA4 protein has a relatively long half-life,78 which could also contribute to reaching the therapeutic threshold within the current editing values. Our western blot analysis revealed the presence of ABCA4 along with some additional bands, similar to those we have previously observed in PPC or fibroblast models. Here, these bands may be due to the heterogeneity of the PPC model. Nevertheless, their significance remains unclear to us. Despite this, we quantified both the ABCA4 band and these additional bands, and neither showed an increased level after RPNC treatment. As previously demonstrated by our group, assessing ABCA4 protein levels poses challenges, particularly in premature and heterogeneous models such as the PPCs utilized in this study.79 In this case, it is even more challenging to observe an increase in ABCA4 protein levels, as the patient lines are compound heterozygous, having one allele carrying the c.4539+2001G>A and the other one a c.4892T>C missense variant, which is still able to produce normal levels of non-functional protein. While, for RNA analysis, CHX treatment is employed to block NMD and increase the differences between normal and PE-containing transcripts, for protein this is not possible as CHX inhibits protein synthesis too. Therefore, it remains challenging to correlate the levels of editing and PE-reduction with protein increase and further investigations in more complex models (e.g., retinal organoids) are required.
Furthermore, it has been previously shown that delivery of CRISPR systems to patient cells can rescue ABCA4 function. For example, using prime editing, variants in ABCA4 could be corrected at iPSC level.80 However, we aimed to correct the splicing defect in differentiated cells, as this is more similar to a potential therapeutic intervention in patients. De Angeli et al. also delivered the Cas9 plasmid to PPCs by nucleofection with high efficacy.81 Unfortunately, as we will further discuss later in this section, this delivery method is also not appropriate for patients. Another alternative is to employ AAV to deliver ABCA4 directly to patients. However, the cargo capacity of 5 kb of the AAV is quite limiting for large genes such as ABCA4. To circumvent this limitation, a dual-AAV genome-augmentation approach for ABCA4 has been explored in different ways.82,83,84 Despite a favorable safety profile observed so far, this delivery method still faces challenges such as the risk of unrecombined 5′-3′ transgenes, the potential high dose required for reaching the therapeutic threshold, and the reduction of the episomes over time.85 Alternatively, we decided to create nanocomplexes using a conjugating peptide that could allow us to assess whether large removal of the intron could have deleterious effects on splicing but at the same time evaluate PE removal. Our proof-of-concept studies showed that this system is suitable to deliver to differentiated cells and verify our hypothesis. In order to increase the editing capacity, further optimization of this RPNC will be needed; however, it is also important to verify that the C18:1-LAH5 lipopeptide will be safe for delivery to the retina. Other alternative methods to deliver this system could be, as mentioned above, the use of AAVs as used in a clinical trial for CEP290 (NCT03872479),86 or Cas9 delivered as mRNA in a nanoparticle, as previously shown for liver delivery in patients with transthyretin amyloidosis.87
Moreover, the PPC model, despite being retina specific, consists of a mixed cell population that is not well defined, and therefore this can lead to variability in Cas9 RNP uptake and ABCA4 expression among different cell lines and batches. This diversity may result in varying editing efficiencies among individual cells,88 which may lead to lower editing ratio while the total DNA was analyzed. Moreover, it is important to note that NMD is not universally 100% effective in all cell types,89 which could potentially lead to either underestimation or overestimation when translating observations from DNA to RNA levels. Exploration on more complex models may contribute to enhancing the efficacy values observed in this manuscript.
To our knowledge, only three published studies have reported genome editing for treating STGD1 ABCA4 variants.80,81,90 The first and last studies were published by De Angeli et al., in 2022 and 2024, respectively. In both, the authors investigated the genome editing of DI variants in intron 36 in PPCs.81 The second study published in 2023 looked at the genome editing for different ABCA4 variants in hiPSCs.80 However, a common feature of both studies is the use of electroporation as a delivery method for either gRNAs and Cas9 RNP80 or for a plasmid containing both.81 This method involves applying a localized and brief external electrical pulse to modify the permeability of cell membranes.91 In the eye, this method has been used for the transduction of retinal cells in newborn rodents92 and also in adult animals.93,94 Although the results of these in vivo applications are promising, electroporation requires an invasive surgical procedure in order to place the microelectrodes that generate the localized electrical pulse, which makes its translation to humans more difficult. In fact, the focus of current clinical trials with electroporation-based technology (EYS606,95 Eyevensys, Paris, France) is on the anterior segment of the eye (NCT04207983 and NCT03308045). In addition to the aforementioned studies, Botond Roska’s group employed an adenine-based editing approach to correct the prevalent ABCA4 c.5882G>A variant using AAV for CRISPR-Cas9 delivery.96 The reported editing efficiencies ranged from 5% to 15% in retinal organoids to 10%20% in human retina explants. However, only preliminary findings presented in a conference communication (B. Gyorgy et al., 2023, ARVO, conference) are available, as the full study has not yet been published.
Given this context, it is not surprising that the sole clinical trial for direct ocular genome editing (NCT03872479) was performed through a subretinal injection. This groundbreaking trial specifically aimed to remove part of intron 26 of the CEP290 gene in patients with Leber congenital amaurosis (LCA).97,98 The recently published trial results showed that some patients had meaningful visual improvement, but further research is required.99 Furthermore, the recent approval of the first CRISPR-Cas-based therapeutic approach in the United Kingdom emphasizes the significance of advancing such strategies to unlock new therapeutic possibilities.100 This broader context has motivated our exploration of alternative delivery systems, including the investigation of cell-penetrating peptides, aimed at bringing CRISPR-based approaches one step closer to clinical trials.
In addition to an easier translational delivery approach, using a cell-penetrating peptide as a carrier for Cas9 RNP offers other advantages. First, the amphipathic properties of the C18:1-LAH5 enables supramolecular complexation involving both electrostatic and hydrophobic interactions. Furthermore, the overall positive charge of such peptide nanocomplexes facilitates non-specific binding to cell membranes. This enables efficient cellular uptake and endosomal escape, overcoming a common challenge faced by nanoparticle- and polymer-based delivery systems.101 Furthermore, it is important to note that previous research has demonstrated that fatty acid modification of cell-penetrating peptides enhances transfection efficiency. This enhancement is primarily due to increased membrane binding and uptake. The protonation of the multiple histidine residues in the LAH5 peptide within the acidic environment of early and late endosomes subsequently promotes endosomal escape.51,102 Additionally, fatty acid modification has been shown to increase the stability of peptides, making them less susceptible to enzymatic degradation.51 Altogether, these properties give us confidence that this peptide vector has promising potential for local eye delivery via intravitreal or subretinal injections. However, in vivo studies are required to further study its potential and are currently planned to provide proof of concept for direct in vivo gene correction to treat STGD1.
Overall, this work provides a safe and effective delivery method for RNPs formed with Cas9 and dual gRNAs utilizing C18:1-LAH5 lipopeptide. We validated this system as an approach for correcting multiple splicing defects caused by DI variants in either intron 30 or intron 36 of the ABCA4 gene. These findings pave the way for new promising avenues to further develop potential treatments for STGD1 and to deliver genome-editing complexes to the eye, which can also be applied for other retinal diseases.
Materials and methods
General reagents for peptide analysis and characterization
All chemicals and substances employed in the peptide analysis and characterization were purchased from Merck (Saint Louis, MO, USA) unless otherwise specified. LAH5 peptide and C18:1-LAH5 lipopeptide were obtained from SynPeptide (Shanghai, China). gRNA sequences were purchased from Merck (Haverhill, UK). tracrRNA-ATTO550, tracrRNA-ATTO647, tracrRNA-ATTO488, crRNA sequences, and PCR primers were purchased from Integrated DNA Technologies (Iowa, USA) (sequences are listed in Table S2), and spCas9 and GFP-Cas9 were obtained from Merck (Saint Louis, MO, USA). OptiMEM I (1×) was acquired from Gibco (Waltham, MA, USA), Lipofectamine, CRISPRMAX Transfection Reagent, Lysotracker Green DND-26, and Lysotracker Red DND-99 were acquired from Invitrogen (Thermo Fisher Scientific, Vilnius, Lithuania). T7 endonuclease and Q5 high fidelity 2× master mix were purchased from New England Biolabs (Ipswich, MA, USA). DNA extraction and PCR purification kits were purchased from QIAGEN Benelux (Venlo, the Netherlands). TAE buffer was purchased from Bio-Rad (Hercules, CA, USA).
RPNCs for gene editing and PIR
To formulate RPNCs for gene editing, gRNA, and Cas9 protein were combined at a 1:1 molar ratio. This was done either in 10 mM HEPES buffer at pH 7.4 or in OptiMEM (used for transfection). The mixture was then incubated at room temperature for 10 min to form the RNP complex. Subsequently, this RNP complex was mixed with the C18:1-LAH5 lipopeptide at various RNP:C18:1-LAH5 molar ratios (1:50, 1:100, 1:150, 1:200, and 1:250). This was followed by a further 10-min incubation at room temperature. The RPNC (RNP/C18:1-LAH5) mixture was then further diluted with 10 mM HEPES buffer at pH 7.4 for characterization experiments and OptiMEM for cellular experiments. This dilution gave a final concentration of 20 nM for the RNP and a concentration of the C18:1-LAH5 lipopeptide in the range of 1–5 μM. The formulation of the RPNCs for PIR was conducted in the same way, using the same buffer as specified for gene editing. The distinction in this formulation lies in the composition of the RNPs, which was developed in the presence of two different gRNAs. To form the RPNCs three different molar ratios were generated: Cas9:gRNA:C18:1-LAH5 at 1:2:50, 1:2:150, and 1:2:250, respectively.
Physical characterization of RPNCs
RPNCs with one gRNA for gene editing were diluted with 10 mM HEPES buffer at pH 7.4, resulting in a final concentration of 20 nM for the RNP and C18:1-LAH5 lipopeptide concentrations ranging from 1 to 5 μM (RNP/lipopeptide). RPNCs for PIR, named Cas9/gRNA/C18:1-LAH5, were prepared at ratios varying from 1:2:50 to 1:2:250. These RPNCs were analyzed for size and PDI using DLS with a Zetasizer ZS instrument (Malvern, Worcestershire, UK). Subsequently, the samples were diluted with 10 mM HEPES buffer at pH 7.4, for ζ-potential assessment using a Zetasizer Nano Z ALV CGS-3 (Malvern, Worcestershire, UK). To determine the size and charge of the RPNCs at different lipopeptide concentrations, the sample was measured three times in each test condition. In addition, the formation of the RPNCs was determined by an EMSA.
EMSA
RPNC (Cas9-RNP/C18:1-LAH5) formation was determined by performing a fluorescence-based EMSA using a non-staining and non-denaturing 1.5% agarose gel. In this experiment, GFP-Cas9, ATTO550-gRNA, ATTO647-gRNA, and C18:1-LAH5 lipopeptides were used. The labeled components and the unlabeled C18:1-LAH5 lipopeptides were formulated to form RPNCs for gene editing and PIR at different molar ratios as previously described. All labeled elements were further diluted to yield a final concentration of 1 μM in water supplement with 2% of 40% glycerol solution. Visualization of the electrophoresis gel was done using a ChemiDoc XRS+ system (Bio-Rad). Fluorescent images were analyzed using the ImageJ version 1.53t Software.103
Cell culture
HEK293T cells (ATCC# CRL-3216), HEK293T stoplight cells,54 and eGFP HEPA 1–6 cells55,104 were cultured in Dulbecco’s modified Eagle’s medium (DMEM) (Thermo Fisher Scientific, Waltham, MA, USA) supplemented with 10% fetal calf serum (FCS). Fibroblasts were cultured in DMEM (Thermo Fisher Scientific) supplemented with 20% FCS. In addition, HEK293T and fibroblast culture media were additionally supplemented with 1% penicillin/streptomycin and 1% sodium pyruvate. HeLa (CCL-2) cells were cultured in low-glucose DMEM supplemented with 10% FBS. All cell lines were grown at 37°C and 5% CO2. Cells were passed twice a week. For experiments, cells were harvested using trypsin after washing them with 1x PBS twice.
A skin biopsy from a patient carrying the ABCA4 variants c.4539+2001G>A (p.?) and c.4892T>C (p.Leu1631Pro) was collected as described previously by the group.14 Our research was conducted according to the tenets of the Declaration of Helsinki and the procedures to obtain the skin biopsy from the patient for establishing primary fibroblasts cultures and subsequent reprogramming into iPSCs were approved by the local Ethical Committee. Samples were collected upon written informed consent was gathered from the participant.
In vitro cytotoxicity assay
HEK293T stoplight,54 HeLa, and eGFP HEPA 1–6 cells were cultured in a Greiner Bio-One 96-well plate at a density of 3 × 104 cells per well. After a 24-h incubation period, cells were transfected using a 100-μL solution of RPNC (RNP/C18:1-LAH5). These were prepared presence of 20 nM RNP and 1–20 μM lipopeptide and following at a ratio of RNP:lipopeptide ranging from 1:50 to 1:1,000. As a reference, positive-control wells were treated with a 100 μL of medium enriched with 5% Triton X-100. This experimental procedure was conducted in triplicate for each condition.
Twenty-four hours after transfection, cell viability was assessed by treating the cells with a 20-μL solution of CellTiter 96 Aqueous One solution cell proliferation assay (MTS) reagent (Promega Corporation, Madison, WI, USA), following the manufacturer’s recommended protocol. Fluorescence intensity was quantified with an absorbance set of 490 nm using an IMark Microplate Reader (Bio-Rad). Data were normalized by excluding reference positive-control signals from negative-control and treated samples.
Cellular uptake of RPNCs for gene editing and PIR
HeLa cells were seeded at a density of 2 × 104 cells/well. The following day, the cells were treated with the prepared RPNC (RNP/C18:1-LAH5). To formulate RPNCs for gene editing, RNP complexes were prepared by mixing GFP-Cas9 RNP with CCR5-targeted sgRNA or Cas9 protein with ATTO550-gRNA and incubated for 10 min. Then, they were combined with C18:1-LAH5 lipopeptide at a 1:150 ratio and incubated for another 10 min prior to being added to the cells (20 nM RNP, 3 μM lipopeptide). After 24 h, the cells were treated with 5 mg/mL Hoechst 33342 together with 100 nM LysoTracker green DND-26 or LysoTracker red DND-99, all of which were added to the complete cell culture medium for a duration of 30 min. The cells were then washed with 1× PBS and imaged using a Yokogawa CV7000 Confocal Microscope (Yokogawa Corporation, Tokyo, Japan). Acquired images were standardized to brightness and contrast. ImageJ version 1.53t software103 was used to quantify total relative fluorescence intensity. In the RNP-treated samples (RNP was delivered without lipopeptide) and those treated with RPNC (RNP/lipopeptide), the difference in fluorescence intensity between the component of interest and LysoTracker’s the relative fluorescence intensity of LysoTracker was assessed. Relative mean fluorescence intensity (RMFI) was calculated as RMFI = fluorescence intensity of material − background intensity.
To assess the cellular uptake of RPNC for PIR, the experimental protocol was performed in an equivalent manner, with the only difference being the use of 40 nM Cas9, 40 nM gRNA1, 40 nM gRNA2, and 6 μM lipopeptide concentration to maintain a consistent molar ratio between RNP and lipopeptide. GFP-Cas9, ATTO550-gRNA1, and ATTO647-gRNA2 formed RNP mixed with C18:1-LAH5 lipopeptide (1:1:1:150 ratio). Cells were exposed to RPNCs at various times, and different combinations of RPNCs were used to validate cellular uptake.
Gene-editing efficiency of the RPNCs
HEK293T stoplight cells were cultured in a Greiner Bio-One 96-well plate) at 3 × 104 cells/well. After 24 h, cells were treated with RNP/LAH5 or RNP/C18:1-LAH5 RPNCs containing 20 nM RNP and peptides at ratios of 1:50 to 1:250. CRISPRMAX was used as a positive control according to the manufacturer’s protocol. After 48 h, cells were harvested, transferred to Falcon U-Bottom 96-well plate (Becton Dickinson, USA, #353077), washed twice with 1× PBS, and fixed with 1% paraformaldehyde. Flow-cytometry analysis (mCherry and eGFP signals) was performed using the FACSCanto II instrument (Becton Dickinson, Franklin Lakes, NJ, USA). Acquired data were analyzed with Flowlogic software version 8.7 (INIVAI Technologies, Mentone, Victoria, Australia) and gated according to gating strategies shown in Figure S18. Gene-editing efficiency was determined by analyzing mCherry and eGFP expression, as previously described.54
Furthermore, gene-editing efficiency was assessed in eGFP HEPA 1–6 cells. They were seeded in a 96-well plate at 3 × 104 cells/well and treated 1 day later with RPNC (RNP [20 nM]/LAH5) or RPNC (RNP [20 nM]/C18:1-LAH5) (ratios: 1:50, 1:150, and 1:250). Three days later, cells were transferred to 24-well plates and expanded for two more days (a total of 5 days post transfection). The measurement of cell fluorescence was carried out using the BD FACSCanto II instrument, with the eGFP fluorescence signal being detected within the FITC channel. After data acquisition, analysis was executed employing the FlowLogic software FlowLogic Alias version 8.1 (INIVAI technologies). Gene editing was assessed by reduced green fluorescence intensity, following the gating strategy shown in Figure S19.
The gRNA sequences employed for the HEK293T stoplight and eGFP HEPA 1–6 cells reporter cell experiment were sgRNA. In contrast, the remaining gRNAs used in this study were a combination of transfer RNAs (tracRNAs) and CRISPRRNAs (crRNAs) and were specified as gRNAs.
Indel efficiency was evaluated by T7E1 assay. Nano-Flow cytometry (NanoFCM) was also used to assess the correct formulation of RPNC for gene editing and PIR.
T7 endonuclease assay
T7E1 assay was performed on HeLa cells to demonstrate indel efficiency. After 48 h of transfection with RPNC (GFP-Cas9/CCR5 gRNA/C18:1-LAH5), genomic DNA was extracted using the QIAGEN DNeasy Blood & Tissue Kit (QIAGEN Benelux). Primers specifically designed for the CCR5 region (Table S6) were used for PCR amplification employing Q5 Hot Start High-Fidelity 2X Master Mix (New England Biolabs, Ipswich, MA, USA), according to the manufacturer’s instructions. The resulting PCR products were denatured in NEBuffer 2 (New England Biolabs) at 95°C for 10 min, followed by gradual annealing through a temperature-reduction process (from 95°C to 85°C at a rate of 2°C per second, and from 85°C to 25°C at a rate of 1°C per second). The heteroduplex DNA sequences were then exposed to the T7E1 enzyme (New England Biolabs) for 15 min at 37°C to facilitate the cleavage of DNA mismatches.
The indel frequency in the DNA sequences was calculated using the equation %indel = (1 − (1 − (b + c)/(a + b + c))1/2) × 100, where a represents the band intensity of the DNA substrate, and b and c represent the intensities of the cleavage products.105
NanoFCM
RPNCs for gene editing and for PIR were analyzed using NanoFCM (NanoFCM). RPNCs were formed by combining GFP Cas9/ATTO647-gRNA with C18:1-LAH5 peptide at a ratio of 1:150. RPNCs for PIR contained unlabeled Cas9/ATTO488-gRNA1/ATTO647-gRNA2, with C18:1-LAH5 peptide at a fixed Cas9:gRNA:peptide ratio of 1:2:150.
NanoFCM measurements were done using a NanoAnalyzer U30 instrument with dual 488/640-nm lasers and single-photon counting avalanche photodiode detectors (SPCM APDs). SSC and fluorescence signals were measured (488/10 for SSC, 525/40 for FL1, 670/30 for FL2). HPLC-grade water was used for sheath fluid control, maintaining a core stream diameter of 1.4 μm. Measurements were taken for 1 min at 1.0-kPa pressure. To achieve a flow of 2,000–12,000 particles per minute, samples were diluted in TE buffer. Particle concentrations were determined using a 250-nm silica nanoparticles standard (NanoFCM, Nottingham, UK). Particle sizes were evaluated using a four-modal silica nanosphere cocktail (68, 91, 113, and 155 nm) (NanoFCM).
Data processing was performed using NanoFCM Profession V2.0 software (NanoFCM). The resulting visual report allowed the analysis of subpopulations based on fluorescence. Size distribution and concentration information was provided for each sub-population. Additional data showing intensity values for individual events were exported for the calculation of mean fluorescence intensity (MFI), as shown in the supplemental information (Table S3).
gRNA design and selection
gRNA sequences were designed employing two different web tools, CRISPOR (http://crispor.tefor.net/) and CHOPCHOP (https://chopchop.cbu.uib.no/), using intron 30 and intron 36 of ABCA4 gene as a target sequence. The most promising sequences from the output were selected based on ranking and considering the predicted efficacy and off targets. In total, 18 gRNAs were selected (Table S2) and amplified from the ABCA4 gene template (primers listed on Table S7) to be further cloned into pX458 (Addgene plasmid #48138; http://n2t.net/addgene:48138; RRID:Addgene_48138) for initial evaluation in HEK293T cells. Transfection of pX458 with different combinations of sgRNAs were tested based on their upstream or downstream position from the hot-spot cluster. The best combinations of gRNAs were subsequently ordered as crRNA for further evaluation using the Cas9 RNP system.
Photoreceptor precursor cell differentiation and characterization
iPSC lines were previously generated by the Radboudumc Stem Cell Technology Center and characterized elsewhere.14,57,58 The differentiation from iPSCs to PPCs was conducted by adapting the protocols published by González-Cordero et al. in 2017 and Capowsky et al. in 2019.106,107 For the differentiation to PPCs, iPSCs were seeded as single cells and maintained in E8F medium (Gibco, # A2858501) until becoming confluent. At that point, cells were grown in E6 medium (Gibco, # A1516401) for 2 days. Subsequently, medium was changed to Neural Induction Medium (NIM, consisting of Advanced DMEM/F12 [Thermo Fisher Scientific] supplemented with 1% N2 supplement [Gibco, # 17502048], 100 mM GlutaMAX [Gibco, # 35050038], and 1% penicillin/streptomycin). NIM medium was changed every other day. On day 6, 1.5 nM BMP4 (R&D Systems, Minneapolis, MN, USA) was added to the NIM medium. After the BMP4 pulse, half of the NIM medium was refreshed every other day until the end of the differentiation (day 30). All PPC conditions were harvested by scraping the cells after washing the wells with 1× PBS. Experiments were performed in two independent differentiation batches. Further details about the RPNC delivery and analysis are explained in the next section.
To characterize the differentiation process, RNA from day 0 and day 30 of differentiation was analyzed. In total, 1 μg of RNA was used to synthetize cDNA by using the SuperScript VILO Master Mix (Thermo Fisher Scientific) according to the manufacturer’s instructions. Then, a qPCR analysis was performed with the GoTaq Real-Time Quantitative PCR Master kit (Promega). The reactions were performed in triplicates using the Applied Biosystem QuantStudio 5 Digital system (Applied Biosystem, Waltham, MA, USA). The expression levels of eight markers (OCT3/4, OTX2, CRX, RECOVERIN, PAX6, NRL, OPN1SW, ABCA4, and RPE65) and a housekeeping gene (GUSB) were studied to evaluate the success of the differentiation. Each sample was normalized against the expression of the housekeeping gene and compared with iPSCs (day 0) using the 2−(ΔΔCt) method.108 The complete list of primers is provided in Table S8.
RPNC delivery for PIR in fibroblast and PPCs
Two fibroblast lines and iPSCs for PPC generation were employed, originating from two individuals—one from a healthy control and the other from a patient with the heterozygous c.4539+2001G>A DI variant in intron 30 of ABCA4. The PPCs were obtained following the procedure outlined the previous section, and the identical protocol was applied for the delivery of RPNCs in both cell types.
gRNAs were delivered as a crRNA-tracrRNA complex (IDT, Coralville, IA, USA). To this end, gRNAs sequences were synthetized as crRNA and diluted in duplex buffer to a final concentration of 200 μM. Then, the crRNA:tracrRNA duplex was assembled by mixing the two RNA oligos in 1:1 equimolar concentration together with duplex buffer to reach a final duplex concentration of 50 μM.
For the lipopeptide-mediated delivery, the crRNA:tracrRNA (gRNAs) was first diluted to a final concentration of 2.5 μM in nuclease-free water. Then Cas9 ribonucleoprotein (RNP) (Sigma, Saint Louis, MO, USA) stock was reconstituted and further diluted to a final concentration of 1,530 nM. For cellular delivery, the stock was diluted 2.5 times in OptiMEM (Sigma) and mixed together with the crRNA:tracrRNA complex at 2.5 μM (per gRNA) for 15 min at room temperature to form RNP. Consequently, the resulting RNP ratios were equal to Cas9 (25 nM)/gRNA1 (25 nM) and gRNA2 (25nM) at a 1:2 proportion, within a total 1-mL volume in a six-well reaction plate. Lipopeptide stock was diluted in nuclease-free water with 1% of acetic acid to enhance solubility. Subsequently, dilutions were prepared with OptiMEM (Gibco). The C:18-1/LAH5 lipopeptide was prepared to a final concentration of 6 μM, within a total 1-mL volume in a six-well reaction plate. Then, the C:18-1/LAH5 lipopeptide was thoroughly mixed with the gRNAs-Cas9 RNP solution and incubated together for 20 min at room temperature. This process resulted in the creation of RPNC for PIR with determined molar ratios. Finally, these RPNCs were supplemented to the cells. Of note, to be able to detect the PE, samples for RNA analysis were treated with CHX 24 h before harvesting.
The optimal concentration of lipopeptide was determined by a dose-response experiment that was conducted using increasing concentrations of the C18:1-LAH5 lipopeptide. These concentrations ranged from 1 μM (1:2:25) to 12 μM (1:2:300) or from 3 μM (1:2:75) to 30 μM (1:2:750) when considering the RPNC (Cas9:gRNAs:C18:1-LAH5) molar ratios. Fibroblast cells were subjected to RPNC for PIR delivery using concentrations ranging from 1 μM (1:2:25) to 12 μM (1:2:300), while PPCs were treated with concentrations ranging from 3 μM (1:2:75) to 30 μM (1:2:750). For the treatment of PPCs, RPNCs were delivered on day 20–22 PPCs, and samples were collected on day 30 or 31 for DNA and RNA analysis. For protein studies, PPCs were harvested on day 38–39. For fibroblast treatment, RPNCs were delivered the day after seeding 200,000 cells in a six-well plate. After RPNC delivery, fibroblasts were subsequently trans-differentiated to boost the expression of ABCA4, as explained in the next section. In both cellular models, the same wells were split into two to perform DNA and RNA analysis from the same batch of cells, directly correlating DNA editing with its effect at the RNA level.
Fibroblast trans-differentiation
After lipopeptide-mediated delivery of the Cas9 RNP, fibroblasts were trans-differentiated over 10 days using a method adapted from Seko et al.76 For this, the culture medium was replaced by DMEM/Ham’s F-12 Nutrient Mix medium (1:1) (Thermo Fisher Scientific) supplemented with 1% FCS and 0.2% primocin. Prior to each addition, medium was supplemented with 40 ng/mL bFGF, 20 ng/mL EGF, and 1× fibronectin and B27. The medium was changed every other day until the end of the trans-differentiation.
DNA isolation and genome-editing analysis
DNA isolation was conducted using the QIAmp DNA Mini Kit (QIAGEN Benelux) according to the manufacturer’s instructions. A total of 40 ng of the obtained DNA was employed for the PCR to amplify intron 30 or intron 36. The 5′ UTR of RPE65 was employed as a loading control. PCRs were conducted using Ampli TaqGold 360 mix (Applied Biosystems) mixed with the corresponding primers (Table S7) at a concentration of 10 μM. The PCR program included a denaturation step of 94°C for 10 min, followed by 35 cycles of melting (94°C for 30 s), annealing (58°C for 30 s), and extension (72°C for 2 min and 30 s) steps, with a final elongation step of 72°C for 5 min. Finally, the gel-based semi-quantification of the different transcripts was performed using ImageJ version 1.53t software.103 The information regarding the whole-genome sequencing (WGS) and PacBio analysis is explained in the supplemental information.
RNA isolation and splicing correction analysis
RNA isolation was isolated using the Nucleospin RNA kit (Machery Nagel Duren, Germany) according to the manufacturer’s instructions. Total RNA concentrations were measured using Nanodrop 2000 and 1 μg of total RNA was used for cDNA synthesis using the VILO superscript IV cDNA synthesis kit (Thermo Fisher Scientific) following the manufacturer’s recommendations. Next, 50 ng of cDNA was used as a template to amplify the PE of intron 30. As a loading control, ACTB was also amplified. A complete list of primers can be found in Table S7. All PCR mixtures contained 1× PCR buffer with MgCl2 (Roche, Manheim, Germany), 1× Q-solution (QIAGEN Benelux), 2.5 mM MgCl2, 2 μM dNTPs, 0.2 mM each primer, and 0.5 U Taq DNA Polymerase (Roche). The PCR program followed was 94°C for 5 min, followed by 35 cycles of melting (94°C for 30 s), annealing (56°C for 30 s), and extension (72°C for 1 min for transcript <1,000 nt or 2 min for transcript >1,000 nt) steps, with a final elongation step of 72°C for 10 min. PCR products were resolved by electrophoresis and all the transcripts were verified by Sanger sequencing. Semiquantitative gel-based analysis was conducted using ImageJ version 1.53t software.103
Statistics
GraphPad Prism 10 software (GraphPad, San Diego, CA, USA) was used for graph generation and statistical analysis. For visualization, all assays were presented as mean ± standard deviation (SD). A two tailed unpaired t test was used to statistically compare RMFI differences between non-peptide and peptide-treated samples. Differences in the assays related to the C18:LAH5 peptide analysis were determined by using one-way ANOVA Tukey’s multiple comparisons test in Figures 4B and 4D only specified the p values illustrated in the figures. To evaluate the differences with respect to the isogenic control samples, the comparison was evaluated using a one-way ANOVA test followed by the Bonferroni correction. In all cases, a p value of 0.05 or less was considered statistically significant, and each experiment was performed in triplicate unless otherwise stated.
Data and code availability
The data supporting the findings described in this work are available within the article and the supplemental information. Raw data are available from the corresponding authors upon request.
Acknowledgments
We want to thank Michael Kwint for his guidance in the preparation of the samples for PacBio analysis. We also acknowledge Ronny Derks for his help in the off-target and on-target analyses, respectively. We also want to thank Dr. Brooke L. Latour for reviewing the manuscript.
This research was partially funded by the Netherlands Organisation for Scientific Research (NWO) Talent program VICI, grant number 867.17.005 (to E.M.) and by UitZicht, grant number UZ2019-17 (to A.G.). M.Ö. was supported by the PhD scholarship provided by the Republic of Türkiye Ministry of National Education. The funding organizations provided unrestricted grants and had no role in the design or conduct of this research. Graphical abstract; Figures 1A, 3A, 3C, and 5; and the RNP and RPNC in Figures 4C and 4D were created with BioRender.com.
Author contributions
I.V.-D., conceptualization, formal analysis, investigation, methodology, supervision, validation, visualization, writing – original draft, and writing – review & editing; M.Ö., conceptualization, formal analysis, investigation, methodology, validation, visualization, writing – original draft, and writing –review & editing; F.A.W., investigation, methodology, and writing – review & editing; T.H.N., investigation, methodology, and writing – review & editing; A.D.M.H., investigation, methodology, and writing – review & editing; E.R., investigation, methodology, and writing – review & editing; G.D.N.A., formal analysis, and writing – review & editing; R.T., formal analysis and writing –review & editing; N.S.-H., investigation, methodology, and writing – review & editing; I.B., investigation, methodology, and writing – review & editing; A.R.-L., investigation, methodology, and writing – review & editing; J.B., formal analysis and methodology; O.G.d.J., supervision, validation, and writing – review & editing; R.W.J.C., conceptualization, funding acquisition, resources, supervision, validation, and writing – review & editing; E.M., conceptualization, funding acquisition, project administration, resources, supervision, validation, writing – original draft, and writing – review & editing; and A.G., conceptualization, funding acquisition, project administration, resources, supervision, validation, writing – original draft, and writing – review & editing.
Declaration of interests
The gRNAs used for the PIR strategy for intron 30 and intron 36 as a therapeutic strategy to correct splicing defects is filed under the application no. EP24161788.5. R.W.J.C. and A.G. would like to declare that they are inventors on several patents describing the use of antisense oligonucleotides to target some of the variants in ABCA4 intron 30 and intron 36 (WO2013036105A1, WO2018109011A1, WO2020015959A1, WO2020115106A1, WO2021023863A1), which have been out-licensed to Astherna. I.V.-D. is currently partially employed by Astherna, but all work in this manuscript was performed before this appointment. R.W.J.C. is founder and Chief Scientific Officer of Astherna.
Footnotes
Supplemental information can be found online at https://doi.org/10.1016/j.omtn.2024.102345.
Supplemental information
Sheet 1 includes the complete list of predicted off-target regions associated with the gRNA gRNA 30-1. Those candidates with more than 3 mismatches are indicated in brown. Sheet 2 includes the complete list of predicted off-target regions associated with the gRNA 30-2. Those candidates with more than 3 mismatches are indicated in brown. Sheet 3 included the final selected list of off-targets for both gRNA.
All repair events identified in the double edited control and patient samples using PacBio long-read sequencing. The table includes sequences upstream and downstream of the cutting site, along with any insertions present. Columns detail the number of reads containing each mutation across both PPC lines (COMBINED) and their respective percentages (COMBINED %), as well as the number of reads and corresponding frequency in percentage in each line: isogenic control (CONTROL) and patient-derived PPCs (PATIENT). In red the nucleotides in between which the editing is expected. In italics the intronic regions of the reference. In blue substitutions found that could or could not be directly related to the editing. The PAM is depicted in purple.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Sheet 1 includes the complete list of predicted off-target regions associated with the gRNA gRNA 30-1. Those candidates with more than 3 mismatches are indicated in brown. Sheet 2 includes the complete list of predicted off-target regions associated with the gRNA 30-2. Those candidates with more than 3 mismatches are indicated in brown. Sheet 3 included the final selected list of off-targets for both gRNA.
All repair events identified in the double edited control and patient samples using PacBio long-read sequencing. The table includes sequences upstream and downstream of the cutting site, along with any insertions present. Columns detail the number of reads containing each mutation across both PPC lines (COMBINED) and their respective percentages (COMBINED %), as well as the number of reads and corresponding frequency in percentage in each line: isogenic control (CONTROL) and patient-derived PPCs (PATIENT). In red the nucleotides in between which the editing is expected. In italics the intronic regions of the reference. In blue substitutions found that could or could not be directly related to the editing. The PAM is depicted in purple.
Data Availability Statement
The data supporting the findings described in this work are available within the article and the supplemental information. Raw data are available from the corresponding authors upon request.