Abstract
Facioscapulohumeral muscular dystrophy (FSHD) is caused by chromatin relaxation of the D4Z4 repeat resulting in misexpression of the D4Z4-encoded DUX4 gene in skeletal muscle. One of the key genetic requirements for the stable production of full-length DUX4 mRNA in skeletal muscle is a functional polyadenylation signal (ATTAAA) in exon three of DUX4 that is used in somatic cells. Base editors hold great promise to treat DNA lesions underlying genetic diseases through their ability to carry out specific and rapid nucleotide mutagenesis even in postmitotic cells such as skeletal muscle. In this study, we present a simple and straightforward strategy for mutagenesis of the somatic DUX4 polyadenylation signal by adenine base editing in immortalized myoblasts derived from independent FSHD-affected individuals. We show that mutating this critical cis-regulatory element results in downregulation of DUX4 mRNA and its direct transcriptional target genes. Our findings identify the somatic DUX4 polyadenylation signal as a therapeutic target and represent the first step toward clinical application of the CRISPR-Cas9 base editing platform for FSHD gene therapy.
Keywords: facioscapulohumeral muscular dystrophy, DUX4, polyadenylation signal, CRISPR-Cas9, base editing, gene therapy
Graphical abstract
To test the therapeutic potential of adenine base editing in facioscapulohumeral dystrophy, we targeted the DUX4 polyadenylation signal and achieved efficient DUX4 mRNA downregulation in FSHD muscle cell cultures.
Introduction
Facioscapulohumeral muscular dystrophy (FSHD is a hereditary skeletal muscle disorder that typically becomes manifest around the second decade of life and progresses with high inter- and intra-familial variability.1, 2, 3 It is believed that this variability in disease progression and severity can be partially explained by the underlying epigenetic mechanism of the disease, being a failure to establish and/or maintain a repressive chromatin structure of the D4Z4 macrosatellite repeat at 4q35 in somatic cells. This leads to a variegated expression of the D4Z4 repeat-encoded DUX4 gene in muscle cells.4 DUX4 is a pioneer transcription factor that under physiological conditions is expressed in keratinocytes,5 testes,4 and thymus6 and in cleavage stage embryos, where it drives zygotic genome activation.4,7, 8, 9 When misexpressed in muscle cells, it disrupts, among others, the bona fide muscle transcriptome.10,11
The repressive chromatin environment of the D4Z4 locus in somatic cells is likely established by a repeat-mediated epigenetic silencing mechanism that partly depends on the D4Z4 repeat unit copy number.12 There are two genetically distinct but overlapping forms of FSHD: FSHD type 1 (FSHD1; OMIM: MIM158900) and FSHD type 2 (FSHD2; OMIM: MIM158901).13,14 The more common form, FSHD1, is caused by a shortening of the D4Z4 repeat to a size of 1–10 units,15 whereas in FSHD2 the repeat size is within the lower range of healthy individuals (9–20 D4Z4 units). In the latter case, DUX4 de-repression is caused by a malfunction of D4Z4 chromatin modifiers.16, 17, 18 Most FSHD2 individuals can be explained by heterozygous mutations in the gene encoding for the Structural Maintenance of Chromosomes flexible Hinge Domain-Containing protein 1 (SMCHD1),17 a protein involved in, among other pathways, epigenetic inactivation of the X chromosome in mammals.19, 20, 21, 22, 23 A small number of SMCHD1 mutation-negative FSHD2 families have been reported in which mutations in the genes encoding for the chromatin modifiers DNA Methyltransferase 3B (DNMT3B) or Ligand Dependent Nuclear Receptor Interacting Factor 1 (LRIF1) were shown to cause D4Z4 chromatin relaxation and DUX4 expression in skeletal muscle.16,18
In addition to D4Z4 chromatin relaxation, the genetic background of the 4q subtelomere is critically important for FSHD manifestation. There are two equally common variants of this subtelomere, termed 4qA and 4qB;24 however, only the 4qA variant is associated with the disease.25,26 This is due to a sequence difference immediately distal to the distal D4Z4 unit, where the 4qA allele contains an additional 260 bp sequence termed pLAM that creates the third exon of DUX4 with a functional ATTAAA polyadenylation signal (PAS) in somatic cells. Such genetic prerequisite for developing FSHD is supported by the finding that a contraction of the highly homologous D4Z4 repeat on chromosome 10 (10q26) does not lead to FSHD despite the presence of the pLAM sequence. However, this sequence contains a single-nucleotide polymorphism (SNP) in the corresponding DUX4 PAS sequence (ATTAAA → ATCAAA), which renders it non-functional.27 The critical importance of this DUX4 PAS sequence was recently corroborated with the identification of two chromosome 10q-linked FSHD families in which the distal end of the disease-associated contracted D4Z4 repeat on chromosome 10, including the pLAM sequence, originated from chromosome 4.28 Likewise, 4qB chromosomes lack the pLAM sequence altogether, and, consequently, a D4Z4 repeat contraction on this genetic background does not lead to the development of FSHD.26
Previously, it has been shown by different approaches, including the application of antisense oligonucleotides, DNA nucleases and U7 small nuclear RNA (snRNA), that interference with the usage of the endogenous 4qA DUX4 PAS in myogenic cells derived from FSHD patients results in transcriptional downregulation of DUX4 and its target genes,29, 30, 31, 32, 33 further emphasizing the necessity of the annotated 4qA DUX4 PAS for proper 3′ end processing of DUX4 pre-mRNA and suggesting that interfering with its usage is sufficient to alleviate the FSHD expression signature in myogenic cells.
Currently, there is no cure for FSHD and because of the underlying genetic character of the disease, CRISPR/Cas9 genome editing could be a promising tool for its treatment . Unfortunately, because of the repetitive nature of the DUX4 gene (every D4Z4 unit contains one copy of the DUX4 open reading frame [ORF]), a straightforward Cas9 nuclease-mediated knockout strategy might lead to multiple breaks, trigger genomic instability, and result in cell death as has been shown for targeting multicopy genomic regions.34 Therefore, a different approach is required. The novel RNA-programmable base editing system, which consists of a wild-type (WT) tRNA adenosine deaminase (TadA) and an artificially evolved version of TadA (TadA∗) fused as a dimer to the D10A nicking version of Streptococcus pyogenes Cas9 (nSpCas9), hereafter referred to as nSpABE, enables robust adenine to guanine substitution without reliance on homology-directed repair (HDR) or introduction of double-stranded DNA breaks.35 Such editing system has already been shown to faithfully edit the desired nucleotides also in postmitotic cells such as neurons36 or skeletal muscle cells.37,38 In this study, we aimed to take advantage of this system to demonstrate that the 4qA DUX4 PAS can be efficiently disrupted with this approach, resulting in downregulation of DUX4 transcript levels in FSHD myogenic cells.
Results
Validation of sgRNA targeting DUX4 polyadenylation signal in HAP1 cells
In myonuclei, the FSHD disease gene DUX4 is transcribed from the distal unit of the D4Z4 repeat on the 4qA subtelomere, where its transcripts are stabilized by a PAS in exon 3. The adjacent SpCas9 protospacer adjacent motif (PAM) site (TGG) downstream of this PAS allows for the design of an single guide RNA (sgRNA) that places the last three adenines of the DUX4 PAS (ATTAAA) in the activity window of nSpABE (Figure 1A). To test whether this sgRNA can effectively direct the Cas9 machinery to the locus of interest, we first performed a T7E1 assay on HAP1 cells transfected with the sgRNA and a human codon-optimized SpCas9 nuclease. Despite having a repeat of 25 D4Z4 units on chromosome 4, which is most probably compacted into a dense chromatin structure perhaps hindering the interaction of the DNA with CRISPR/Cas9, we could clearly detect cleavage of the intended locus (Figure 1B). To evaluate A→G base editing of the DUX4 PAS, we used a one-vector system for delivery of all adenine base editing components. HAP1 cells were individually transfected with two variants of the all-in-one vector in which the CAG promoter drives expression of the SpCas9 nickase fused to either the ABE7.10 or the ABEmax version of the adenine base editor, hereafter referred to as nSpABE7.10 and nSpABEmax, respectively (Figure 1C) and examined for A→G edits at the DUX4 PAS site by Sanger sequencing. In nSpABE7.10-transfected cells, we could detect on average 11.2% ± 3.6% of A→G conversion for the adenine at position 4 of the protospacer (A4) as assessed by Sanger sequencing. We did not detect editing of adenines at positions 5 to 7 (A5-7) despite these adenines still fitting into the reported activity window of nSpABE7.10.35 In nSpABEmax-transfected cells, we achieved more efficient adenine base editing at A4 (36.5% ± 3.8%) as well as at downstream adenines A5 (22.5% ± 2.25%) and A6 (7.3% ± 3.6%), which is in agreement with a previous report that nSpABEmax is superior to nSpABE7.10 in terms of editing efficiency and processivity.40
Next, we assessed adenine editing of the DUX4 PAS, using the ABEmax in combination with two other Cas9 orthologs, SaCas9 and CjCas9, since their cognate PAM sites, NNGRRT and NNNVRYM, respectively, are in the vicinity of the DUX4 PAS such that adenines on the forward or reverse strand in the DUX4 PAS could be amenable to adenine base editing (Figure S1A). We used the same all-in-one vector architecture as was used for nSpABEmax, including the same linker length, and the new constructs are hereafter referred to as nSaABEmax and nCjABEmax (Figure S1B). Surprisingly, both constructs failed to exert adenine base editing activity at the DUX4 PAS in HAP1 cells based on evaluation by Sanger sequencing as was done for SpABE7.10 and SpABEmax (data not shown).
Base editing of DUX4 PAS in patient-derived immortalized FSHD1 and FSHD2 myoblasts
To explore the effect of the mutated PAS on DUX4 steady-state transcript levels, we carried out base editing in FSHD patient-derived immortalized myoblasts, since HAP1 cells do not express DUX4. We used three different FSHD myogenic cell lines with different genetic characteristics, D4Z4 methylation status and DUX4 expression levels (Figures S2A and S2B). We selected one FSHD2 cell line that has a heterozygous missense mutation in SMCHD1 (K204E) combined with an 11-unit-long 4qA D4Z4 repeat and two FSHD1 cell lines, one with a 3-unit-long 4qA D4Z4 repeat (FSHD13U) and one with an 8-unit-long 4qA repeat (FSHD18U). Shorter D4Z4 repeats are generally correlating with lower D4Z4 methylation levels,41 a more severe FSHD phenotype and a worse prognosis,2 whereas repeats in the upper size limit of FSHD1 typically show a higher incidence of familial non-penetrance and a milder disease presentation.3,42 Furthermore, we chose cell lines heterozygous for 4qA and 4qB to facilitate unequivocal assignment of successful editing of the FSHD allele, except for FSHD18U, which carries two variant alleles of 4qA (with the healthy allele being of the 4qA161L variant and the FSHD allele of the 4qA161S variant).43 However, these two allelic variants of 4qA161 can be distinguished by the presence of a SNP (Figure S3A). Clonal cell cultures from all three cell lines were genotyped for the DUX4 PAS after transfection with nSpABEmax and single-cell sorting of GFP+ cells. Untransfected cells underwent the same sorting procedure to obtain clones with a WT PAS sequence to ensure the same experimental conditions and population doublings between compared groups. Successfully edited clones showed a plethora of A→G editing outcomes (Figure S3A). We also obtained one clone from the FSHD13U and one clone from the FSHD2 cell line in which the editing attempt resulted in small deletions fully or partially encompassing the DUX4 PAS (Figure S3A). DUX4 steady-state mRNA levels were measured as well as those of four well-established DUX4 target genes (ZSCAN4, KHDC1L, TRIM43, and MBD3L2)11,44 serving as an indirect readout for DUX4 transcription factor activity. The steady-state mRNA levels of DUX4 and its target genes were reduced in all three cell lines upon editing of the DUX4 PAS under proliferating (Figure S3B) as well as differentiating (Figure 2A) conditions. Since it has been shown that DUX4 expression increases during myogenic differentiation,45 we analyzed the expression of early (MYOG) as well as late (MYH3) myogenic markers by qRT-PCR to rule out the possibility that lower DUX4 levels were due to reduced differentiation potential of edited clones (Figure 2B). On the contrary, edited clones showed equal if not slightly increased myogenic differentiation, which is in agreement with previous findings that DUX4 inhibits myogenic differentiation, thereby lowering its levels would improve differentiation.10 However, unedited clones showed a high variability in DUX4 expression levels and those of its target genes ranging from 1 order of magnitude in the FSHD13U and FSHD2 lines up to 3 orders of magnitude in clones derived from the FSHD18U line. Such high expression variability thus makes it difficult to confidently determine the effect of DUX4 downregulation conferred by base editing.
Reducing the clonal variability in DUX4 expression
Since D4Z4 displays highly variable transcriptional activity between individuals46 and across cells from the same individual (this study), a behavior that is also described for genomic loci known as metastable epialleles47 of which their epigenetic profile is stochastically established in early embryogenesis, we hypothesized that starting the editing from a monoclonal cell culture rather than a polyclonal culture may resolve a large part of inter-clonal variability in DUX4 expression. This would facilitate a better comparison of DUX4 levels between DUX4 PAS pre-editing and post-editing clones in the absence of large expression variability at WT baseline. We therefore first tested the “mitotic stability” of DUX4 expression by deriving new daughter clones from two clones showing different levels of DUX4 expression (referred to as DUX4high and DUX4low) originating from the FSHD18U line, as it showed the highest DUX4 expression variability. Indeed, after resorting, new single-cell derived cultures exhibited more homogeneous DUX4 and DUX4 target gene (ZSCAN4 and MBD3L2) expression levels comparable to the parental clone as measured by qRT-PCR (Figure S4).
We selected one unedited DUX4high clone derived from either the FSHD13U or the FSHD18U cell line and repeated the editing procedure to obtain new DUX4 PAS unedited and edited clones. As expected, deriving new unedited clones from a monoclonal culture resulted in lower DUX4 expression variability between clones, with clones carrying an edited DUX4 PAS showing significantly reduced DUX4 steady-state mRNA levels as well as DUX4 target gene levels (Figure 3A). Again, the reduced DUX4 expression levels could not be attributed to a difference in myogenic differentiation, as shown by comparable expression of the two myogenic differentiation markers between edited and unedited clones (Figure 3B). Interestingly, editing the DUX4 PAS seems to have a more negative impact on DUX4 mRNA levels in FSHD18U (∼1,000-fold downregulation) than in cells from FSHD13U line (∼10-fold downregulation).
Editing of the DUX4 PAS induces alternative pre-mRNA cleavage and polyadenylation
Previously, it was shown that hindering the DUX4 PAS with phosphorodiamidate morpholino oligomers (PMOs) causes a redirection of the DUX4 pre-mRNA cleavage site (CS) ∼40 nt upstream of its canonical CS despite the absence of a recognizable alternative PAS motif in the upstream sequence.31 Since base editing of the DUX4 PAS does not completely abolish DUX4 expression, we tested if the mutated PAS is still being used for DUX4 transcript termination, albeit less efficiently, or if alternative PASs/CSs are being used. Using a semiquantitative 3′ rapid amplification of cDNA ends (3' RACE) to identify 3′ UTR sequences of DUX4 mRNAs from unedited and edited clones derived from all three FSHD immortalized cell lines from Figure 2A, we detected three different CSs 16–24 nt downstream of DUX4 PAS in close proximity to each other in unedited cells (Figure 4A), as was previously described.31 In edited clones, however, two different shifts in the CS occur, either proximally or distally to the canonical CS (Figure 4A & B, Table S3). Interestingly, the FSHD2 edited clones strictly used the proximal CS, the same one as reported by Marsollier et al.31 after using PMOs against the DUX4 PAS region, whereas the distal CS switch is predominant in the FSHD1 clones independent of their 4qA permissive allele size (Figure 4B). Moreover, opposite to the single proximal CS being used after PAS editing, the distal CS is not as deterministic, since we observed multiple different 3′ ends in FSHD1 edited clones. Of note, the small proportion of DUX4 mRNAs using the canonical CS position in FSHD2 clones is coming from the single clone that carries a partial deletion of DUX4 PAS. Despite the clear shift in the CS upon DUX4 PAS editing, we could not detect a nearby PAS-like sequence (±100 nt from original PAS) which could explain the CS shifts. Overall these data show that DUX4 PAS base editing prevents proper 3′ end formation of the DUX4 transcript.
Off-target analysis by targeted next generation sequencing
To explore potential off-target effects, we used the CRISPOR prediction tool48 to identify genomic sites that have a sequence homology to the sgRNA used for targeting the DUX4 PAS. This resulted in the identification of 227 potential off-target (OT) sites, of which none are predicted to target polyadenylation signals of other genes. Only 3 are predicted to target coding sequences, however, with low off-target scores due to the number and position of individual mismatches (Table S4). We further filtered predicted off-target sites by the following criteria:(1) having up to 4 mismatches outside of the PAM region and the seed region of the sgRNA, (2) containing at least one adenine in the editing window of nSpABEmax, and (3) representing a single copy locus. Based on these criteria, we performed targeted next generation sequencing on 10 selected potential off-target sites in DNA samples obtained from HAP1 cells that were transfected with nSpABEmax with or without sgRNA targeting the DUX4 PAS from Figures 1C and 1D (Figure 5A). At 7 out of 10 examined sites, deep sequencing did not reveal any appreciable increase in A→G transitions within or near the editing window as compared to the control samples (Figure 5B). However, the nucleotide sequences of OT1 and OT10 contained a SNP in the HAP1 genome, producing an extra mismatch in the sgRNA protospacer (Figure 5A). Therefore, their off-target potential might be higher in genomes that do not contain this mismatch. At three sites, OT2 (chr6: 13,331,126–13,331,148), OT5 (chr12: 2,444,719–2,444,741), and OT6 (chr2: 218,831,310–218,831,332), we detected editing efficiencies of 0.17%, 1.72%, and 0.43% of adenines within the editing window, respectively (Figures 5B and 5C). None of the three affected OT sites resides in coding regions. OT2 is in an intergenic region ∼2 kb upstream of the TBC1D7 gene, while OT5 and OT6 map to intron 3 of CACNA1C and intron 2 of PRKAG3, respectively. Both genes, CACNA1C and PRKAG3, are expressed in skeletal muscle according to the Human Protein Atlas,50 but neither edit is predicted to affect the splicing of these genes when modeled with the Alamut software. In summary, these results show that sgRNA-dependent off-target DNA editing is likely rare.
Discussion
So far, therapeutic attempts for FSHD have been mainly focused on oligonucleotide- or small molecule-based transient modulation of DUX4 levels.51,52 Three recent studies focused on gene therapy approaches that inhibit the production of full-length DUX4 mRNA.32,33,53 Two of these studies used CRISPR/Cas9 strategies, either employing a standard Cas9 nuclease to introduce deletions affecting the DUX4 PAS by HDR with a provided template32 or using Cas9 coupled to a transcriptional inhibitor domain to repress DUX4 expression53. The third study used custom U7 nuclear RNAs (snRNAs) to mask important regulatory features of DUX4 mRNA maturation such as splice sites and the DUX4 PAS.33 In this study, we demonstrate the use of a CRISPR/Cas9-based genome editing application to directly modify the DUX4 locus while avoiding DNA double-strand breaks. We show that by using an adenine base editor we can target and disable one of the important genetic prerequisites for FSHD manifestation, the DUX4 somatic polyadenylation signal. We were able to successfully edit the DUX4 PAS with SpCas9-based base editors nSpABE7.10 and nSpABEmax, with the latter showing higher editing efficiency, which is in agreement with previous reports.54 Fusing ABEmax to two other Cas9 orthologs, namely SaCas9 and CjCas9, has previously been shown to also result in adenine editing activity.54, 55, 56 However, we did not observe adenine to guanine conversion at the DUX4 PAS when using such fusion proteins in HAP1 cells as determined by Sanger sequencing. The T7E1 assay nevertheless did show evidence for recruitment of the SaCas9 nuclease to the DUX4 PAS site (Figure S1C), suggesting that the complex can be recruited to the DUX4 PAS but that the nSaABEmax fusion protein is likely not efficient at this site. Previously, a lower editing efficiency has been reported for nSaABEmax as compared to nSpABEmax,54 which could explain our findings. Recently, a new version of the adenine base editor, termed ABE8e, was described.55 When paired with a variety of Cas effectors, including SaCas9, it demonstrated a further enhanced editing efficiency. Therefore, coupling ABE8e to SaCas9 might result in successful adenine base editing of the DUX4 PAS. In addition, such a fusion construct would be more favorable compared to the SpCas9 construct because of its smaller size, which could facilitate the use of the adeno-associated viral (AAV) system for its in vivo delivery and testing. Alternatively, an AAV split system could be used for in vivo delivery of SpABEmax or SpABE8e. Indeed, such an approach has been already tested for delivering base editors to a range of tissues,37,57 reaching 20% editing efficiency in skeletal muscle tissue.57 Since published strategies were aiming at whole body delivery and were not optimized for skeletal muscle targeting or expression, further optimization by using a tissue-specific promoter and a muscle-trophic AAV serotype might increase the editing efficiencies in the skeletal muscle. On the other hand, the failure to detect editing of the DUX4 PAS with nCjABEmax might be attributed to a suboptimal nearby PAM sequence (5′-AATCATC-3′) that was predicted for the targeting. We identified this PAM site based on the PAM consensus sequence (5′-NNNVRYM-3′) reported by Yamada et al.58 Another study by Kim et al.59 reported a slightly different PAM consensus sequence (5′-NNNNRYAC-3′) for CjCas9 targeting that is more refined and differs from the sequence that we used for deriving our sgRNA. Moreover, such a fusion construct has not been characterized in depth yet; therefore there is no knowledge about its precise editing window or its efficiency.
As anticipated, editing of the DUX4 PAS in immortalized myogenic lines obtained from different FSHD-affected individuals resulted in lower DUX4 mRNA levels and lower DUX4 transcription factor activity as indirectly measured by the steady-state mRNA levels of its target genes. We could not determine if editing more adenines at once or if editing an adenine at a particular position in the DUX4 PAS motif results in a more profound DUX4 downregulation, since multiple clones with the same editing outcome would be required to confidently assess this. Nevertheless, we show that even a single adenine substitution is sufficient to negatively impact proper 3′ end processing of the DUX4 transcript. To our surprise, mutating the DUX4 PAS in this manner does not completely abolish the production of polyadenylated DUX4 transcripts as opposed to the situation on chromosome 10, which might suggest the presence of other cis modifiers acting as regulators of DUX4 expression than just the previously recognized SNP in 4q/10q DUX4 PAS motif. These cis factors are likely in linkage disequilibrium with the DUX4 PAS considering the exclusive linkage of FSHD with the presence of a DUX4 PAS. Interestingly, in two independent FSHD1 clonal cell lines we observed different steady-state DUX4 mRNA level reduction upon editing (Figure 3A). Since we cannot correlate this outcome to the initial DUX4 expression levels, to the nucleotide edit at the DUX4 PAS, or to the methylation levels at the targeted region, this outcome may be a reflection of its suspected role as metastable epiallele, as the chromatin environment has also been suggested to influence PAS usage efficiency.60,61 Such individualistic response will require further studies to elucidate its mechanism and to be able to predict the benefit of this approach for FSHD patients.
In addition, the study by Joubert et al. reported the use of either paired transcription activator-like effector nucleases (TALENs) or paired CRISPR/Cas9 nucleases to excise the DUX4 PAS sequence with the aim of incorporating a mir-1 sequence by HDR in immortalized myoblasts.32 This approach yielded only 2 successfully edited clones out of 227 (0.8%). In contrast, with our approach we achieved 30/163 successfully edited immortalized myoblast clones (nearly 20%) across five different experiments including three different FSHD cell lines (Table S5). Nevertheless, despite the limited number of successfully edited clones in the Joubert study, they also observed reduced, but not abolished, DUX4 and DUX4 target gene levels and a switch in the DUX4 mRNA cleavage and polyadenylation site, which corroborates our findings. The increased editing efficiency in our study could be explained by the fact that adenine base editors act independently of the HDR pathway, a pathway that is only available in S and G2 phases of the cell cycle. This cell cycle-independent feature of the ABE system makes it a viable candidate for its future in vivo translatability. The main bottleneck for adenine editing efficiency may therefore very well be the optimal delivery of editing components to skeletal muscle tissue.
One of the main concerns for the use of genome editing platforms is their potential off-target effect. Adenine base editors have been shown to suffer from sgRNA-dependent off-target DNA editing, albeit to a lesser extent than cytidine base editors.62 In this study, we detected at least three sites that were edited in an sgRNA-dependent fashion but to a much lesser extent than the intended site. We observed ∼23-fold more efficient editing at the A4 position of the on-target site, i.e., 40% as assessed by Sanger sequencing in gDNA samples that were used also for the inspection of off-target editing in HAP1 cells, as compared to the most efficiently edited off-target site (OT5, 1.7%) as assessed by Illumina short read sequencing. Additionally, off-target editing of cellular RNAs by adenine base editors has been reported.63 However, we have not explored this particular side effect of nSpABEmax. In any case, both DNA and RNA off-target activity of adenine base editors can be minimized by making use of further engineered adenine deaminases55,64,65 linked to higher-fidelity Cas9 versions66, 67, 68 and modified sgRNAs69 and by reducing exposure time and/or effector molecule concentrations by employing different delivery strategies such as in the form of ribonucleoprotein particles.55,70 The specificity of the adenine base editing approach for DUX4 PAS targeting should therefore be carefully evaluated to ensure safety in case of its therapeutic application.
Base editors have been already used to achieve efficient gene silencing by targeting cis-regulatory elements important for proper gene expression by either introducing in-frame stop codons,71,72 mutating a start codon,73 or disrupting splice sites.74,75 Since deviations from the canonical PAS hexamers generally reduce their cleavage and polyadenylation efficiency,76 we explored how many polyadenylation signals genome-wide would be amenable for such an editing approach. We focused on the two most widely used hexameric motifs, namely AATAAA and ATTAAA, as they constitute ∼80% of all identified polyadenylation signals (Figure S5A). These PAS motifs can be disrupted with adenine base editors either by modifying any of the adenines of the last three nucleotide positions of the PAS motif on the coding strand or alternatively by targeting the adenine on the non-coding strand that pairs with the middle thymine on the coding strand, leading to its substitution with a cytidine (Figure S5B). Based on these criteria, we established that ∼25% of all PASs with either AATAAA or ATTAAA motifs are editable with nSpABEmax (Figure S5C). However, it should be pointed out that weakening the core PAS motif might not always lead to the expected transcriptional downregulation, since other cis auxiliary elements are known to influence the efficiency of PAS usage.77 Moreover, alternative polyadenylation is widespread for genes that contain multiple functional PASs;78 therefore invalidating only one of them might not be sufficient to achieve an overall desired level of silencing. Rather, since alternative polyadenylation is tissue specific and globally regulated, PAS editing might represent a more refined tool for gene editing in some conditions. Therefore, the utility of this approach requires locus-specific validation. Nevertheless, due to challenging gene structure, DUX4 represents an excellent candidate for adenine base editing-mediated mutagenesis of its PAS as a means for its expression interference.
Materials and methods
Cloning
To create the all-in-one base editing vector pX458-ABE7.10, overlapping PCR products of the TadA dimer from pCMV-ABE7.10 (Addgene #102919), nCas9-SV40 NLS from pX335 (Addgene #42335), and T2A-GFP from pX458 were cloned in pX458 using the AgeI and EcoRI restriction sites. The pX458-ABEmax vector was created by cutting out the TadA dimer together with the N-terminal domain of Cas9 from pX458-ABE7.10 using the AgeI and ApaI sites and replacing it with the PCR-amplified TadA dimer missing the N-terminal domain of Cas9 from the pCMV-ABEmax-GFP vector (Addgene #112101). The pX601-SaABEmax vector was cloned by first creating a new insert consisting of the TadA dimer linked to the N-terminal domain of SaCas9. This was achieved by overlapping PCR amplifications on pCMV-ABEmax (for the TadA dimer) and pX601 (for the SaCas9 domain) during which a D10A mutation was introduced into SaCas9. The resulting PCR product was cloned in pX601 using the XbaI and HindIII sites. The pX601-CjABEmax was created by first mutating the KpnI site upstream of the CAG promoter in the pX601-SaABEmax vector by replacing it with the same PCR fragment containing a KpnI mutation and cloned using XbaI and AgeI. Next, the SaABEmax-T2A-GFP-bGH insert was replaced by CjABEmax-T2A-GFP-bGH, which was produced by overlapping PCRs on pX601-SaABEmax for TadA dimer, pX404 (Addgene #68338) for CjCas9 (D8A mutation was introduced during this PCR step), and pX601-SaABEmax for T2A-GFP-bGH PAS. The final insert was cloned into pX601-SaABEmax via the AgeI and KpnI sites. Further, the SaCas9 sgRNA expression cassette was replaced with an CjCas9 sgRNA expression cassette. The CjCas9 sgRNA expression cassette was assembled by overlapping PCRs on pX601 to amplify the U6 promoter sequence and on the pU6-Cj-sgRNA plasmid (Addgene #89753) to amplify the sgRNA scaffold. The resulting insert was cloned into the pX601-CjABEmax plasmid created in the previous step via the KpnI and NotI sites. All sgRNAs were cloned into their target vector according to the Zhang lab’s protocol.79 For the pX458 vector (Addgene #48138) and its adenine base editor derivatives (SpABE7.10 and SpABEmax), the BbsI sites were used, and for the pX601 vector’s derivatives (SaABEmax and CjABEmax) the BsaI sites were used. For optimal transcription from the U6 promoter, an extra G nucleotide was added to the 5′ end of the sgRNA in case the sequence did not start with one already. All constructs were verified by Sanger sequencing. All primers used are listed in Table S1. The following restriction enzymes were used for cloning: AgeI-HF (New England Biolabs, ##R3552), EcoRI (Thermo Fisher Scientific, #ER0271), ApaI (New England Biolabs, #R0114), HindIII (New England Biolabs, #R0104), KpnI-HF (New England Biolabs, #R3142), NotI-HF (New England Biolabs, #R3189), BbsI (New England Biolabs, #R3539), and BsaI (Thermo Fisher Scientific, #ER0291).
Cell culture and transfection
Detailed information about cell lines used in this study can be found in Table S2. The HAP1 cell line was maintained in IMDM-GlutaMAX (Thermo Fisher Scientific, #31980) supplemented with 10% fetal bovine serum (FBS) (Gibco, #10270106) and 1% (v/v) penicillin-streptomycin (Gibco, #15140). Immortalized myoblast cell lines 073iMB (FSHD18U) and 200iMB (FSHD2) were a kind gift from Prof. S. Tapscott, Fred Hutchinson Cancer Research Center. The 2402iMB line (FSHD13U) was obtained by immortalizing primary myoblasts, which were a kind gift of Prof. R. Tawil from the University of Rochester, by stable integration of hTERT and CDK4 retroviruses as described previously.80 All initial primary myoblast lines originated from the Fields Center for FSHD and Neuromuscular Research at the University of Rochester Medical Center and were obtained following the informed consent after the study had been approved by the relevant institutional review board. All myogenic lines were maintained in Ham’s F-10 Nutrient Mix (Gibco, #31550) supplemented with 20% (v/v) FBS, 1% (v/v) penicillin-streptomycin, 10 ng/mL fibroblast growth factor (FGF)-b (PromoKine, #C-60240), and 1 μM dexamethasone (Sigma-Aldrich, #D2915). Myogenic differentiation was achieved by switching myoblasts at 100% confluency to DMEM (Gibco, #31966021) supplemented with 2% (v/v) KnockOut serum replacement (Gibco, #10828028). All cell lines were maintained at 37°C and 5% CO2 and were tested for Mycoplasma contamination with the MycoAlert Mycoplasma detection kit (Lonza, #LT07-318) according to the vendor’s instructions. One day prior to transfection, 2 × 105 HAP1 cells were seeded in a 12-well plate. Transfection was performed with 1.5 μg of the base editing vector and 0.5 μg of a vector containing puromycin resistance cassette (AA19_pLKO.1-puro.U6.sgRNA.BveI-stuffer plasmid, a kind gift from Prof. M.A.F.V. Gonçalves, Leiden University Medical Center) using Lipofectamine 3000 (Thermo Fisher Scientific, #L3000008) according to the manufacturer’s instructions. The next day, the medium was replaced with medium containing 0.5 μg/mL of puromycin, and cells were selected for 48 h, after which the medium was replaced again with non-puromycin medium and cells were grown for an additional 72 h, after which they were harvested for subsequent analysis. For myoblast experiments, 3 × 105 myoblasts were seeded in a 6-well plate, and the following day cells were transfected with 2 μg of plasmid DNA using Lipofectamine 3000 (Thermo Fisher Scientific, #L3000008) according to the manufacturer’s instructions. Medium was changed the next day, and cells were harvested for further analysis 72 h after transfection.
T7E1 cleavage assay
CRISPR/Cas9-induced indels at the targeted locus were examined with the T7E1 cleavage assay. Three days after transfection, cells were harvested in lysis buffer for genomic DNA (100 mM Tris-HCl pH 8.0, 50 mM EDTA pH 8.0, 2% [w/v] SDS) and DNA was extracted by protein precipitation by addition of saturated salt to the solution and subsequent isopropanol precipitation. The target locus was amplified by PCR using DreamTaq (Thermo Fisher Scientific, #EP0701) with the following cycling conditions: 95°C for 5 min followed by 35 cycles of 95°C for 25 s, 67°C for 25 s, and 72°C for 20 s, with a final extension step at 72°C for 5 min. Resulting PCR products were subjected to reannealing in a thermal cycler with the following conditions: 95°C for 5 min followed by cooling down from 95°C to 85°C at 2°C/s and from 85°C to 25°C at 0.1°C/s. After reannealing, 10 μL of PCR product was incubated with T7E1 enzyme (New England Biolabs, #E3321) according to the manufacturer’s instructions. Resulting products were resolved on a 2% Tris-borate-EDTA (TBE) agarose gel with ethidium bromide.
Fluorescence-activated cell sorting
Cells were trypsinized, collected in their respective culturing media, and spun down, and the cell pellet was resuspended in fluorescence-activated cell sorting (FACS) buffer (10% [v/v] FBS in PBS). Cells were sorted with a BD FACS Aria III cell sorter according to GFP fluorescence, and collected cells were used for further analysis or expansion.
DUX4 PAS genotyping and quantification of base editing efficiency
Exon 3 of DUX4 containing the PAS was amplified from genomic DNA by PCR as described in the T7E1 cleavage assay. The product’s purity was first assessed by an electrophoretic separation on a 2% TBE agarose gel and then extracted from the gel with the NucleoSpin Gel and PCR Clean-up kit (Bioké, #740609) and submitted for Sanger sequencing with the forward primer used in the PCR. Base editing efficiency in the initial test in HAP1 cells was assessed by Sanger sequencing and estimated with Edit-R39 (online tool available at http://baseeditr.com/).
RNA isolation, cDNA synthesis, and qRT-PCR
Cells were harvested in QIAzol lysis reagent (QIAGEN, #79306), and RNA was isolated with the RNeasy mini kit (QIAGEN, #74101) with DNase I treatment according to the manufacturer’s protocol. Oligo-dT-primed cDNA was synthesized from 2 μg of input RNA with the Minus First Strand cDNA synthesis kit (Thermo Fisher Scientific, #K1621). Gene expression was measured with the CFX384 system (Bio-Rad) in technical triplicates using iQ SYBR Green Supermix (Bio-Rad, #1708887). qRT-PCR primers are listed in Table S1. GUSB was used as a housekeeping gene.
3′ RACE
The 3′ RACE was carried out as reported previously31 with minor modifications. The cDNA synthesis was carried out with the Minus First Strand cDNA synthesis kit with modified oligo-dT primer: 5′-GCTGTCAACGATACGCTACGTAACGGCATGACAGTGTTTTTTTTTTTTTTTTTTTTTTTT-3′. The first PCR was performed using 2 μL of cDNA as template in a final volume of 20 μL with AccuPrime Taq high-fidelity DNA polymerase (Thermo Fisher Scientific, #1236086) with previously published forward and reverse primers and according to established PCR cycling conditions.31 Nested PCR was performed using 2 μL of primary PCR product with AccuPrime Taq high-fidelity DNA polymerase with previously published forward and reverse primers and according to established PCR cycling conditions.31 Final PCR products were purified from 2% TBE agarose gel and subcloned into the TOPO-TA vector (Thermo Fisher Scientific, #450641). At least 6–8 individual bacterial colonies were screened to determine the DUX4 mRNA 3′ ends.
Methylation analysis of DUX4 exon 3 (FasPAS region) by bisulfite PCR followed by TOPO-TA subcloning
500 ng of genomic DNA was converted with the EZ DNA Methylation-Lightning kit (Zymo Research, #D5030) according to the manufacturer’s protocol. The FasPAS region was amplified from converted DNA with previously published primers (Table S1) using high-fidelity AccuPrime Taq DNA polymerase (Thermo Fisher Scientific, #12346086) with the following PCR program: 95°C for 4 min followed by 35 cycles of 95°C for 4 min, 58°C for 20 s, and 72°C for 40 s, followed by a final extension step at 72°C for 5 min. PCR products were purified by electrophoresis and isolated from gel with the NucleoSpin Gel & PCR Clean-up kit (Bioké, #740609) followed by subcloning into the TOPO-TA vector. Plasmid DNA from individual bacterial colonies was sent for Sanger sequencing using the M13R primer, and methylation levels were assessed with BiQ Analyzer software. Methylation lollipop plots were produced with the online QUMA tool (http://quma.cdb.riken.jp/top/index.html).
sgRNA-dependent off-target analysis using targeted next generation sequencing
Potential off-target sites were predicted by CRISPOR (http://crispor.tefor.net/crispor.py).48 Ten predicted off-target sites were chosen based on the MIT specificity score and uniqueness of the region for specific amplification. Genomic regions of interest were amplified with specific primers containing appropriate Illumina forward and reverse adaptor sequences (Table S1). For the first PCR, 100 ng of genomic DNA was used as starting material in a 25 μL reaction further containing 0.4 μM of forward and reverse primer and 12.5 μL of 2× KAPA HiFi HotStart ReadyMix (Kapa Biosystems, #KK2601). PCR reactions were carried out as follows: 95°C for 3 min followed by 27 cycles of 98°C for 20 s, 64°C for 15 s, and 72°C for 15 s, with a final extension step at 72°C for 3 min. This first PCR product was purified with AMPure beads (Beckman Coulter, #A63881) with a 0.8 PCR-to-beads ratio according to the manufacturer’s instructions, and DNA was eluted in 10 μL of EB buffer. A subsequent barcoding PCR was performed in a total volume of 25 μL using 3 μL of purified first PCR product, 2 μL of Illumina barcoding primer mix, and 12.5 μL of 2× KAPA HiFi HotStart ReadyMix. The barcoding PCR was carried out as follows: 95°C for 3 min followed by 7 cycles of 98°C for 20 s, 60°C for 20 s, and 72°C for 20 s, with a final extension step at 72°C for 3 min. PCR products were purified with AMPure beads in a 0.8 PCR-to-beads ratio according to manufacturer’s instructions, and DNA was eluted to 10 μL of EB buffer. The concentration of the final purified amplicons was measured with Qubit, and all amplicons were pooled in equimolar ratio and sequenced on an Illumina MiSeq instrument. Paired-end reads were evaluated for mutations by alignment to the provided predicted off-target sequence using CRISPResso249 (CRISPRessoBatch–batch_settings ‘my_tab_separated_batchfile’–amplicon_seq ‘my_reference_sequence’–base_edit -g ‘my_sgrna_sequence’ -wc −10 -w 20). The effect of intronic mutations on gene splicing was predicted with Alamut Visual software (Interactive Biosoftware, Rouen, France, version 2.15).
Genome-wide detection of editable polyadenylation signals
In order to find all editable polyadenylation signals in the genome with an AATAAA or ATTAAA motif, we constructed a regular expression that combines the polyadenylation signal motif sequence with a PAM site for SpCas9 (5′-NGG-3′) at appropriate distance from the targeted base so that it falls into the reported activity window of nSpABEmax.54 This regular expression was used to find all matching patterns in the human reference genome GRCh38 (https://hgdownload.cse.ucsc.edu/goldenPath/hg38/bigZips/). A similar approach was used to find all occurrences on the reverse complement strand. The results of this search were intersected with a list of known polyadenylation signals (ftp://ftp.ebi.ac.uk/pub/databases/gencode/Gencode_human/release_35/gencode.v35.polyAs.gff3.gz) to obtain the final list of editable polyadenylation signals. We used the ‘famotif2bed’ subcommand of the Fastools (https://fastools.readthedocs.io/en/latest/) package (version 1.0.2) for finding patterns in a reference sequence using regular expressions. All genome arithmetic was done using bedtools (https://bedtools.readthedocs.io/en/latest/) (version 2.27.1). The full procedure is available online (https://github.com/jfjlaros/motif-edit) under the MIT Open Source license.
Statistical methods
GraphPad Prism software v.8.4.2 was used for calculation of statistics. Sample sizes were not pre-determined prior to experiments, and a concrete statistical test is stated in the respective figure legend.
Data availability
The sequencing data generated for the off-target editing evaluation are available at BioProject: PRJNA732823.
Acknowledgments
We thank members of the van der Maarel group for all their helpful suggestions. This research was supported by funds from Friends of FSH Research, from the Prinses Beatrix Spierfonds (W.OP14-01 and W.OR21-04), and from Spieren voor Spieren. D.Š., J.B., and S.M.M. are members of the European Reference Network for Rare Neuromuscular Diseases [ERN EURO-NMD].
Author contributions
D.Š. designed and performed experiments, analyzed results, and wrote the manuscript. V.A.C. cloned and tested SpABEmax, SaABEmax, and CjABEmax in HAP1 cells. Y.A. and D.Š. performed and analyzed deep sequencing for off-target regions. J.F.J.L. and D.Š. performed the genome-scale analysis of editable polyadenylation signals. J.B. immortalized 2,402 primary myoblasts and edited the manuscript. S.M.M. provided feedback and co-wrote the manuscript. All authors contributed to manuscript review.
Declaration of interests
The authors declare no competing interests.
Footnotes
Supplemental information can be found online at https://doi.org/10.1016/j.omtn.2021.05.020.
Contributor Information
Darina Šikrová, Email: darinasikrova@gmail.com.
Silvère M. van der Maarel, Email: S.M.van_der_Maarel@lumc.nl.
Supplemental information
References
- 1.Wohlgemuth M., Lemmers R.J., Jonker M., van der Kooi E., Horlings C.G., van Engelen B.G., van der Maarel S.M., Padberg G.W., Voermans N.C. A family-based study into penetrance in facioscapulohumeral muscular dystrophy type 1. Neurology. 2018;91:e444–e454. doi: 10.1212/WNL.0000000000005915. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Lunt P.W., Jardine P.E., Koch M.C., Maynard J., Osborn M., Williams M., Harper P.S., Upadhyaya M. Correlation between fragment size at D4F104S1 and age at onset or at wheelchair use, with a possible generational effect, accounts for much phenotypic variation in 4q35-facioscapulohumeral muscular dystrophy (FSHD) Hum. Mol. Genet. 1995;4:951–958. doi: 10.1093/hmg/4.5.951. [DOI] [PubMed] [Google Scholar]
- 3.Statland J.M., Donlin-Smith C.M., Tapscott S.J., Lemmers R.J.L.F., van der Maarel S.M., Tawil R. Milder phenotype in facioscapulohumeral dystrophy with 7-10 residual D4Z4 repeats. Neurology. 2015;85:2147–2150. doi: 10.1212/WNL.0000000000002217. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Snider L., Geng L.N., Lemmers R.J.L.F., Kyba M., Ware C.B., Nelson A.M., Tawil R., Filippova G.N., van der Maarel S.M., Tapscott S.J., Miller D.G. Facioscapulohumeral dystrophy: incomplete suppression of a retrotransposed gene. PLoS Genet. 2010;6:e1001181. doi: 10.1371/journal.pgen.1001181. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Gannon O.M., Merida de Long L., Saunders N.A. DUX4 Is Derepressed in Late-Differentiating Keratinocytes in Conjunction with Loss of H3K9me3 Epigenetic Repression. J. Invest. Dermatol. 2016;136:1299–1302. doi: 10.1016/j.jid.2016.01.027. [DOI] [PubMed] [Google Scholar]
- 6.Das S., Chadwick B.P. Influence of Repressive Histone and DNA Methylation upon D4Z4 Transcription in Non-Myogenic Cells. PLoS One. 2016;11:e0160022. doi: 10.1371/journal.pone.0160022. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.De Iaco A., Planet E., Coluccio A., Verp S., Duc J., Trono D. DUX-family transcription factors regulate zygotic genome activation in placental mammals. Nat. Genet. 2017;49:941–945. doi: 10.1038/ng.3858. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Hendrickson P.G., Doráis J.A., Grow E.J., Whiddon J.L., Lim J.-W., Wike C.L., Weaver B.D., Pflueger C., Emery B.R., Wilcox A.L. Conserved roles of mouse DUX and human DUX4 in activating cleavage-stage genes and MERVL/HERVL retrotransposons. Nat. Genet. 2017;49:925–934. doi: 10.1038/ng.3844. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Young J.M., Whiddon J.L., Yao Z., Kasinathan B., Snider L., Geng L.N., Balog J., Tawil R., van der Maarel S.M., Tapscott S.J. DUX4 binding to retroelements creates promoters that are active in FSHD muscle and testis. PLoS Genet. 2013;9:e1003947. doi: 10.1371/journal.pgen.1003947. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Bosnakovski D., Gearhart M.D., Toso E.A., Ener E.T., Choi S.H., Kyba M. Low level DUX4 expression disrupts myogenesis through deregulation of myogenic gene expression. Sci. Rep. 2018;8:16957. doi: 10.1038/s41598-018-35150-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Geng L.N., Yao Z., Snider L., Fong A.P., Cech J.N., Young J.M., van der Maarel S.M., Ruzzo W.L., Gentleman R.C., Tawil R., Tapscott S.J. DUX4 activates germline genes, retroelements, and immune mediators: implications for facioscapulohumeral dystrophy. Dev. Cell. 2012;22:38–51. doi: 10.1016/j.devcel.2011.11.013. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Tawil R., van der Maarel S.M., Tapscott S.J. Facioscapulohumeral dystrophy: the path to consensus on pathophysiology. Skelet. Muscle. 2014;4:12. doi: 10.1186/2044-5040-4-12. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Sacconi S., Briand-Suleau A., Gros M., Baudoin C., Lemmers R.J.L.F., Rondeau S., Lagha N., Nigumann P., Cambieri C., Puma A. FSHD1 and FSHD2 form a disease continuum. Neurology. 2019;92:e2273–e2285. doi: 10.1212/WNL.0000000000007456. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Sacconi S., Lemmers R.J.L.F., Balog J., van der Vliet P.J., Lahaut P., van Nieuwenhuizen M.P., Straasheijm K.R., Debipersad R.D., Vos-Versteeg M., Salviati L. The FSHD2 gene SMCHD1 is a modifier of disease severity in families affected by FSHD1. Am. J. Hum. Genet. 2013;93:744–751. doi: 10.1016/j.ajhg.2013.08.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.van Deutekom J.C., Wijmenga C., van Tienhoven E.A., Gruter A.M., Hewitt J.E., Padberg G.W., van Ommen G.J., Hofker M.H., Frants R.R. FSHD associated DNA rearrangements are due to deletions of integral copies of a 3.2 kb tandemly repeated unit. Hum. Mol. Genet. 1993;2:2037–2042. doi: 10.1093/hmg/2.12.2037. [DOI] [PubMed] [Google Scholar]
- 16.van den Boogaard M.L., Lemmers R.J.L.F., Balog J., Wohlgemuth M., Auranen M., Mitsuhashi S., van der Vliet P.J., Straasheijm K.R., van den Akker R.F.P., Kriek M. Mutations in DNMT3B Modify Epigenetic Repression of the D4Z4 Repeat and the Penetrance of Facioscapulohumeral Dystrophy. Am. J. Hum. Genet. 2016;98:1020–1029. doi: 10.1016/j.ajhg.2016.03.013. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Lemmers R.J.L.F., Tawil R., Petek L.M., Balog J., Block G.J., Santen G.W.E., Amell A.M., van der Vliet P.J., Almomani R., Straasheijm K.R. Digenic inheritance of an SMCHD1 mutation and an FSHD-permissive D4Z4 allele causes facioscapulohumeral muscular dystrophy type 2. Nat. Genet. 2012;44:1370–1374. doi: 10.1038/ng.2454. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Hamanaka K., Šikrová D., Mitsuhashi S., Masuda H., Sekiguchi Y., Sugiyama A., Shibuya K., Lemmers R.J.L.F., Goossens R., Ogawa M. Homozygous nonsense variant in LRIF1 associated with facioscapulohumeral muscular dystrophy. Neurology. 2020;94:e2441–e2447. doi: 10.1212/WNL.0000000000009617. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Blewitt M.E., Gendrel A.-V., Pang Z., Sparrow D.B., Whitelaw N., Craig J.M., Apedaile A., Hilton D.J., Dunwoodie S.L., Brockdorff N. SmcHD1, containing a structural-maintenance-of- chromosomes hinge domain, has a critical role in X inactivation. Nat. Genet. 2008;40:663–669. doi: 10.1038/ng.142. [DOI] [PubMed] [Google Scholar]
- 20.Gendrel A.-V., Apedaile A., Coker H., Termanis A., Zvetkova I., Godwin J., Tang Y.A., Huntley D., Montana G., Taylor S. Smchd1-dependent and -independent pathways determine developmental dynamics of CpG island methylation on the inactive X chromosome. Dev. Cell. 2012;23:265–279. doi: 10.1016/j.devcel.2012.06.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Gendrel A.-V., Tang Y.A., Suzuki M., Godwin J., Nesterova T.B., Greally J.M., Heard E., Brockdorff N. Epigenetic functions of smchd1 repress gene clusters on the inactive X chromosome and on autosomes. Mol. Cell. Biol. 2013;33:3150–3165. doi: 10.1128/MCB.00145-13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Nozawa R.-S., Nagao K., Igami K.-T., Shibata S., Shirai N., Nozaki N., Sado T., Kimura H., Obuse C. Human inactive X chromosome is compacted through a PRC2-independent SMCHD1-HBiX1 pathway. Nat. Struct. Mol. Biol. 2013;20:566–573. doi: 10.1038/nsmb.2532. [DOI] [PubMed] [Google Scholar]
- 23.Brideau N.J., Coker H., Gendrel A.-V., Siebert C.A., Bezstarosti K., Demmers J., Poot R.A., Nesterova T.B., Brockdorff N. Independent Mechanisms Target SMCHD1 to Trimethylated Histone H3 Lysine 9-Modified Chromatin and the Inactive X Chromosome. Mol. Cell. Biol. 2015;35:4053–4068. doi: 10.1128/MCB.00432-15. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.van Geel M., Dickson M.C., Beck A.F., Bolland D.J., Frants R.R., van der Maarel S.M., de Jong P.J., Hewitt J.E. Genomic analysis of human chromosome 10q and 4q telomeres suggests a common origin. Genomics. 2002;79:210–217. doi: 10.1006/geno.2002.6690. [DOI] [PubMed] [Google Scholar]
- 25.Lemmers R.J.L.F., Wohlgemuth M., van der Gaag K.J., van der Vliet P.J., van Teijlingen C.M.M., de Knijff P., Padberg G.W., Frants R.R., van der Maarel S.M. Specific sequence variations within the 4q35 region are associated with facioscapulohumeral muscular dystrophy. Am. J. Hum. Genet. 2007;81:884–894. doi: 10.1086/521986. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Lemmers R.J.L.F., de Kievit P., Sandkuijl L., Padberg G.W., van Ommen G.-J.B., Frants R.R., van der Maarel S.M. Facioscapulohumeral muscular dystrophy is uniquely associated with one of the two variants of the 4q subtelomere. Nat. Genet. 2002;32:235–236. doi: 10.1038/ng999. [DOI] [PubMed] [Google Scholar]
- 27.Lemmers R.J.L.F., van der Vliet P.J., Klooster R., Sacconi S., Camaño P., Dauwerse J.G., Snider L., Straasheijm K.R., van Ommen G.J., Padberg G.W. A unifying genetic model for facioscapulohumeral muscular dystrophy. Science. 2010;329:1650–1653. doi: 10.1126/science.1189044. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Lemmers R.J.L.F., van der Vliet P.J., Blatnik A., Balog J., Zidar J., Henderson D., Goselink R., Tapscott S.J., Voermans N.C., Tawil R. 2021. Chromosome 10q-linked FSHD identifies DUX4 as principal disease gene. J. Med. Genet. Published online January 12, 2021. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Chen J.C., King O.D., Zhang Y., Clayton N.P., Spencer C., Wentworth B.M., Emerson C.P., Jr., Wagner K.R. Morpholino-mediated Knockdown of DUX4 Toward Facioscapulohumeral Muscular Dystrophy Therapeutics. Mol. Ther. 2016;24:1405–1411. doi: 10.1038/mt.2016.111. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Ansseau E., Vanderplanck C., Wauters A., Harper S.Q., Coppée F., Belayew A. Antisense Oligonucleotides Used to Target the DUX4 mRNA as Therapeutic Approaches in FaciosScapuloHumeral Muscular Dystrophy (FSHD) Genes (Basel) 2017;8:93. doi: 10.3390/genes8030093. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Marsollier A.-C., Ciszewski L., Mariot V., Popplewell L., Voit T., Dickson G., Dumonceaux J. Antisense targeting of 3′ end elements involved in DUX4 mRNA processing is an efficient therapeutic strategy for facioscapulohumeral dystrophy: a new gene-silencing approach. Hum. Mol. Genet. 2016;25:1468–1478. doi: 10.1093/hmg/ddw015. [DOI] [PubMed] [Google Scholar]
- 32.Joubert R., Mariot V., Charpentier M., Concordet J.P., Dumonceaux J. Gene Editing Targeting the DUX4 Polyadenylation Signal: A Therapy for FSHD? J. Pers. Med. 2020;11:7. doi: 10.3390/jpm11010007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Rashnonejad A., Amini-Chermahini G., Taylor N.K., Wein N., Harper S.Q. Designed U7 snRNAs inhibit DUX4 expression and improve FSHD-associated outcomes in DUX4 overexpressing cells and FSHD patient myotubes. Mol. Ther. Nucleic Acids. 2020;23:476–486. doi: 10.1016/j.omtn.2020.12.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Aguirre A.J., Meyers R.M., Weir B.A., Vazquez F., Zhang C.Z., Ben-David U., Cook A., Ha G., Harrington W.F., Doshi M.B. Genomic copy number dictates a gene-independent cell response to CRISPR/Cas9 targeting. Cancer Discov. 2016;6:914–929. doi: 10.1158/2159-8290.CD-16-0154. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Gaudelli N.M., Komor A.C., Rees H.A., Packer M.S., Badran A.H., Bryson D.I., Liu D.R. Programmable base editing of A•T to G•C in genomic DNA without DNA cleavage. Nature. 2017;551:464–471. doi: 10.1038/nature24644. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Lim C.K.W., Gapinske M., Brooks A.K., Woods W.S., Powell J.E., Zeballos C M.A., Winter J., Perez-Pinera P., Gaj T. Treatment of a Mouse Model of ALS by In Vivo Base Editing. Mol. Ther. 2020;28:1177–1189. doi: 10.1016/j.ymthe.2020.01.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Levy J.M., Yeh W.H., Pendse N., Davis J.R., Hennessey E., Butcher R., Koblan L.W., Comander J., Liu Q., Liu D.R. Cytosine and adenine base editing of the brain, liver, retina, heart and skeletal muscle of mice via adeno-associated viruses. Nat. Biomed. Eng. 2020;4:97–110. doi: 10.1038/s41551-019-0501-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Ryu S.-M., Koo T., Kim K., Lim K., Baek G., Kim S.-T., Kim H.S., Kim D., Lee H., Chung E., Kim J.-S. Adenine base editing in mouse embryos and an adult mouse model of Duchenne muscular dystrophy. Nat. Biotechnol. 2018;36:536–539. doi: 10.1038/nbt.4148. [DOI] [PubMed] [Google Scholar]
- 39.Kluesner M.G., Nedveck D.A., Lahr W.S., Garbe J.R., Abrahante J.E., Webber B.R., Moriarity B.S. EditR: A Method to Quantify Base Editing from Sanger Sequencing. CRISPR J. 2018;1:239–250. doi: 10.1089/crispr.2018.0014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Koblan L.W., Doman J.L., Wilson C., Levy J.M., Tay T., Newby G.A., Maianti J.P., Raguram A., Liu D.R. Improving cytidine and adenine base editors by expression optimization and ancestral reconstruction. Nat. Biotechnol. 2018;36:843–846. doi: 10.1038/nbt.4172. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Lemmers R.J.L.F., Goeman J.J., van der Vliet P.J., van Nieuwenhuizen M.P., Balog J., Vos-Versteeg M., Camano P., Ramos Arroyo M.A., Jerico I., Rogers M.T. Inter-individual differences in CpG methylation at D4Z4 correlate with clinical variability in FSHD1 and FSHD2. Hum. Mol. Genet. 2015;24:659–669. doi: 10.1093/hmg/ddu486. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Ricci G., Mele F., Govi M., Ruggiero L., Sera F., Vercelli L., Bettio C., Santoro L., Mongini T., Villa L. Large genotype-phenotype study in carriers of D4Z4 borderline alleles provides guidance for facioscapulohumeral muscular dystrophy diagnosis. Sci. Rep. 2020;10:21648. doi: 10.1038/s41598-020-78578-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Lemmers R.J., van der Vliet P.J., Balog J., Goeman J.J., Arindrarto W., Krom Y.D., Straasheijm K.R., Debipersad R.D., Özel G., Sowden J. Deep characterization of a common D4Z4 variant identifies biallelic DUX4 expression as a modifier for disease penetrance in FSHD2. Eur. J. Hum. Genet. 2018;26:94–106. doi: 10.1038/s41431-017-0015-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Yao Z., Snider L., Balog J., Lemmers R.J.L.F., Van Der Maarel S.M., Tawil R., Tapscott S.J. DUX4-induced gene expression is the major molecular signature in FSHD skeletal muscle. Hum. Mol. Genet. 2014;23:5342–5352. doi: 10.1093/hmg/ddu251. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Balog J., Thijssen P.E., Shadle S., Straasheijm K.R., van der Vliet P.J., Krom Y.D., van den Boogaard M.L., de Jong A., F Lemmers R.J., Tawil R. Increased DUX4 expression during muscle differentiation correlates with decreased SMCHD1 protein levels at D4Z4. Epigenetics. 2015;10:1133–1142. doi: 10.1080/15592294.2015.1113798. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Tawil R. Facioscapulohumeral muscular dystrophy. Neurotherapeutics. 2008;5:601–606. doi: 10.1016/j.nurt.2008.07.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Rakyan V.K., Blewitt M.E., Druker R., Preis J.I., Whitelaw E. Metastable epialleles in mammals. Trends Genet. 2002;18:348–351. doi: 10.1016/s0168-9525(02)02709-9. [DOI] [PubMed] [Google Scholar]
- 48.Concordet J.P., Haeussler M. CRISPOR: intuitive guide selection for CRISPR/Cas9 genome editing experiments and screens. Nucleic Acids Res. 2018;46(W1):W242–W245. doi: 10.1093/nar/gky354. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Clement K., Rees H., Canver M.C., Gehrke J.M., Farouni R., Hsu J.Y., Cole M.A., Liu D.R., Joung J.K., Bauer D.E., Pinello L. CRISPResso2 provides accurate and rapid genome editing sequence analysis. Nat. Biotechnol. 2019;37:224–226. doi: 10.1038/s41587-019-0032-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Uhlén M., Fagerberg L., Hallström B.M., Lindskog C., Oksvold P., Mardinoglu A., Sivertsson Å., Kampf C., Sjöstedt E., Asplund A. Proteomics. Tissue-based map of the human proteome. Science. 2015;347:1260419. doi: 10.1126/science.1260419. [DOI] [PubMed] [Google Scholar]
- 51.Cohen J., DeSimone A., Lek M., Lek A. Therapeutic Approaches in Facioscapulohumeral Muscular Dystrophy. Trends Mol. Med. 2021;27:123–137. doi: 10.1016/j.molmed.2020.09.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Bouwman L.F., van der Maarel S.M., de Greef J.C. The prospects of targeting DUX4 in facioscapulohumeral muscular dystrophy. Curr. Opin. Neurol. 2020;33:635–640. doi: 10.1097/WCO.0000000000000849. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Himeda C.L., Jones T.I., Jones P.L. Targeted epigenetic repression by CRISPR/dSaCas9 suppresses pathogenic DUX4-fl expression in FSHD. Mol. Ther. Methods Clin. Dev. 2020;20:298–311. doi: 10.1016/j.omtm.2020.12.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Huang T.P., Zhao K.T., Miller S.M., Gaudelli N.M., Oakes B.L., Fellmann C., Savage D.F., Liu D.R. Circularly permuted and PAM-modified Cas9 variants broaden the targeting scope of base editors. Nat. Biotechnol. 2019;37:626–631. doi: 10.1038/s41587-019-0134-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Richter M.F., Zhao K.T., Eton E., Lapinaite A., Newby G.A., Thuronyi B.W., Wilson C., Koblan L.W., Zeng J., Bauer D.E. Phage-assisted evolution of an adenine base editor with improved Cas domain compatibility and activity. Nat. Biotechnol. 2020;38:883–891. doi: 10.1038/s41587-020-0453-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Li X., Qian X., Wang B., Xia Y., Zheng Y., Du L., Xu D., Xing D., DePinho R.A., Lu Z. Programmable base editing of mutated TERT promoter inhibits brain tumour growth. Nat. Cell Biol. 2020;22:282–288. doi: 10.1038/s41556-020-0471-6. [DOI] [PubMed] [Google Scholar]
- 57.Koblan L.W., Erdos M.R., Wilson C., Cabral W.A., Levy J.M., Xiong Z.M., Tavarez U.L., Davison L.M., Gete Y.G., Mao X. In vivo base editing rescues Hutchinson-Gilford progeria syndrome in mice. Nature. 2021;589:608–614. doi: 10.1038/s41586-020-03086-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Yamada M., Watanabe Y., Gootenberg J.S., Hirano H., Ran F.A., Nakane T., Ishitani R., Zhang F., Nishimasu H., Nureki O. Crystal Structure of the Minimal Cas9 from Campylobacter jejuni Reveals the Molecular Diversity in the CRISPR-Cas9 Systems. Mol. Cell. 2017;65:1109–1121.e3. doi: 10.1016/j.molcel.2017.02.007. [DOI] [PubMed] [Google Scholar]
- 59.Kim E., Koo T., Park S.W., Kim D., Kim K., Cho H.Y., Song D.W., Lee K.J., Jung M.H., Kim S. In vivo genome editing with a small Cas9 orthologue derived from Campylobacter jejuni. Nat. Commun. 2017;8:14500. doi: 10.1038/ncomms14500. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Zhang J., Zhang Y.Z., Jiang J., Duan C.G. The Crosstalk Between Epigenetic Mechanisms and Alternative RNA Processing Regulation. Front. Genet. 2020;11:998. doi: 10.3389/fgene.2020.00998. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Nanavaty V., Abrash E.W., Hong C., Park S., Fink E.E., Li Z., Sweet T.J., Bhasin J.M., Singuri S., Lee B.H. DNA Methylation Regulates Alternative Polyadenylation via CTCF and the Cohesin Complex. Mol. Cell. 2020;78:752–764.e6. doi: 10.1016/j.molcel.2020.03.024. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Xin H., Wan T., Ping Y. Off-Targeting of Base Editors: BE3 but not ABE induces substantial off-target single nucleotide variants. Signal Transduct Target. Ther. 2019;4:9. doi: 10.1038/s41392-019-0044-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Grünewald J., Zhou R., Garcia S.P., Iyer S., Lareau C.A., Aryee M.J., Joung J.K. Transcriptome-wide off-target RNA editing induced by CRISPR-guided DNA base editors. Nature. 2019;569:433–437. doi: 10.1038/s41586-019-1161-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Grünewald J., Zhou R., Iyer S., Lareau C.A., Garcia S.P., Aryee M.J., Joung J.K. CRISPR DNA base editors with reduced RNA off-target and self-editing activities. Nat. Biotechnol. 2019;37:1041–1048. doi: 10.1038/s41587-019-0236-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Zhou C., Sun Y., Yan R., Liu Y., Zuo E., Gu C., Han L., Wei Y., Hu X., Zeng R. Off-target RNA mutation induced by DNA base editing and its elimination by mutagenesis. Nature. 2019;571:275–278. doi: 10.1038/s41586-019-1314-0. [DOI] [PubMed] [Google Scholar]
- 66.Lee J.K., Jeong E., Lee J., Jung M., Shin E., Kim Y.-H., Lee K., Jung I., Kim D., Kim S., Kim J.S. Directed evolution of CRISPR-Cas9 to increase its specificity. Nat. Commun. 2018;9:3048. doi: 10.1038/s41467-018-05477-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Kleinstiver B.P., Pattanayak V., Prew M.S., Tsai S.Q., Nguyen N.T., Zheng Z., Joung J.K. High-fidelity CRISPR-Cas9 nucleases with no detectable genome-wide off-target effects. Nature. 2016;529:490–495. doi: 10.1038/nature16526. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Slaymaker I.M., Gao L., Zetsche B., Scott D.A., Yan W.X., Zhang F. Rationally engineered Cas9 nucleases with improved specificity. Science. 2016;351:84–88. doi: 10.1126/science.aad5227. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Ryan D.E., Taussig D., Steinfeld I., Phadnis S.M., Lunstad B.D., Singh M., Vuong X., Okochi K.D., McCaffrey R., Olesiak M. Improving CRISPR-Cas specificity with chemical modifications in single-guide RNAs. Nucleic Acids Res. 2018;46:792–803. doi: 10.1093/nar/gkx1199. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Rees H.A., Komor A.C., Yeh W.-H., Caetano-Lopes J., Warman M., Edge A.S.B., Liu D.R. Improving the DNA specificity and applicability of base editing through protein engineering and protein delivery. Nat. Commun. 2017;8:15790. doi: 10.1038/ncomms15790. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Billon P., Bryant E.E., Joseph S.A., Nambiar T.S., Hayward S.B., Rothstein R., Ciccia A. CRISPR-Mediated Base Editing Enables Efficient Disruption of Eukaryotic Genes through Induction of STOP Codons. Mol. Cell. 2017;67:1068–1079.e4. doi: 10.1016/j.molcel.2017.08.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Kuscu C., Parlak M., Tufan T., Yang J., Szlachta K., Wei X., Mammadov R., Adli M. CRISPR-STOP: gene silencing through base-editing-induced nonsense mutations. Nat. Methods. 2017;14:710–712. doi: 10.1038/nmeth.4327. [DOI] [PubMed] [Google Scholar]
- 73.Wang X., Liu Z., Li G., Dang L., Huang S., He L., Ma Y., Li C., Liu M., Yang G. Efficient Gene Silencing by Adenine Base Editor-Mediated Start Codon Mutation. Mol. Ther. 2020;28:431–440. doi: 10.1016/j.ymthe.2019.11.022. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Li Z., Xiong X., Wang F., Liang J., Li J.F. Gene disruption through base editing-induced messenger RNA missplicing in plants. New Phytol. 2019;222:1139–1148. doi: 10.1111/nph.15647. [DOI] [PubMed] [Google Scholar]
- 75.Gapinske M., Luu A., Winter J., Woods W.S., Kostan K.A., Shiva N., Song J.S., Perez-Pinera P. CRISPR-SKIP: programmable gene splicing with single base editors. Genome Biol. 2018;19:107. doi: 10.1186/s13059-018-1482-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76.Sheets M.D., Ogg S.C., Wickens M.P. Point mutations in AAUAAA and the poly (A) addition site: effects on the accuracy and efficiency of cleavage and polyadenylation in vitro. Nucleic Acids Res. 1990;18:5799–5805. doi: 10.1093/nar/18.19.5799. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Nunes N.M., Li W., Tian B., Furger A. A functional human Poly(A) site requires only a potent DSE and an A-rich upstream sequence. EMBO J. 2010;29:1523–1536. doi: 10.1038/emboj.2010.42. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.Beaudoing E., Freier S., Wyatt J.R., Claverie J.M., Gautheret D. Patterns of variant polyadenylation signal usage in human genes. Genome Res. 2000;10:1001–1010. doi: 10.1101/gr.10.7.1001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79.Ran F.A., Hsu P.D., Wright J., Agarwala V., Scott D.A., Zhang F. Genome engineering using the CRISPR-Cas9 system. Nat. Protoc. 2013;8:2281–2308. doi: 10.1038/nprot.2013.143. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80.Zhu C.H., Mouly V., Cooper R.N., Mamchaoui K., Bigot A., Shay J.W., Di Santo J.P., Butler-Browne G.S., Wright W.E. Cellular senescence in human myoblasts is overcome by human telomerase reverse transcriptase and cyclin-dependent kinase 4: consequences in aging muscle and therapeutic strategies for muscular dystrophies. Aging Cell. 2007;6:515–523. doi: 10.1111/j.1474-9726.2007.00306.x. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The sequencing data generated for the off-target editing evaluation are available at BioProject: PRJNA732823.