Abstract
Dysfunction of splicing factors often result in abnormal cell differentiation and apoptosis, especially in neural tissues. Mutations in pre-mRNAs processing factor 31 (PRPF31) cause autosomal dominant retinitis pigmentosa, a progressive retinal degeneration disease. The transcriptome-wide splicing events specifically regulated by PRPF31 and their biological roles in the development and maintenance of retina are still unclear. Here, we showed that the differentiation and viability of retinal progenitor cells (RPCs) are severely perturbed in prpf31 knockout zebrafish when compared with other tissues at an early embryonic stage. At the cellular level, significant mitotic arrest and DNA damage were observed. These defects could be rescued by the wild-type human PRPF31 rather than the disease-associated mutants. Further bioinformatic analysis and experimental verification uncovered that Prpf31 deletion predominantly causes the skipping of exons with a weak 5′ splicing site. Moreover, genes necessary for DNA repair and mitotic progression are most enriched among the differentially spliced events, which may explain the cellular and tissular defects in prpf31 mutant retinas. This is the first time that Prpf31 is demonstrated to be essential for the survival and differentiation of RPCs during retinal neurogenesis by specifically modulating the alternative splicing of genes involved in DNA repair and mitosis.
INTRODUCTION
The splicing of precursor messenger RNAs (pre-mRNAs) by accurately removing introns and joining exons is an essential step for the regulation and expression of most eukaryotic genes. Spliceosomes, the complex molecular machines assembled from five core small nuclear ribonucleoproteins (U1, U2, U4, U6, U5) and over 300 regulatory proteins, execute the splicing processes of >99% of RNAs in human cells (1,2). The accurate recognition of exon–intron boundaries and splicing of RNAs require not only the conserved cis-acting elements (such as 5′ and 3′ splicing sites, branch point A, polypyrimidine), but also the multiple trans-acting factors, including constitutive splicing factors and splicing regulators.
Strikingly, ∼95% of multiexon genes undergo alternative splicing to generate diverse transcripts (3,4). As a strategy for expanding the eukaryotic proteome and regulating gene expression, alternative splicing is selectively regulated by many non-constitutive splicing factors such as the SR (Ser-Arg) protein family and heterogeneous nuclear RNPs (hnRNPs). These splicing regulators are involved in cell survival, proliferation, differentiation or tumorigenesis by regulating the splicing of specific genes (5–7). Interestingly, depleting some of the constitutive splicing factors may also affect the alternative splicing of a subset of genes without causing the transcriptome-wide splicing defects (8–11). There are several studies about the large-scale identification of tissue-, time- or pathology-specific alternative splicing events (12,13). However, due to the diversity and complexity of alternative splicing, determining the biological significances and regulatory mechanisms underlying these splicing events is still challenging.
The retina in eye detects lights for the formation of vision, and retinal degeneration is a major cause of irreversible blindness around the world. Retinal tissues express a very high level of spliceosomal snRNAs and process the highest amount of pre-mRNAs (14). Besides, unprecedented levels of alternative splicing have also been reported in mammalian retinas, especially during the retina neurogenesis (15–18). Notably, six genes encoding the core components of spliceosomes (PRPF31, PRPF8, PRPF3, PRPF4, PRPF6 and SNRNP200) have been linked with autosomal dominant retinitis pigmentosa (adRP), a progressive inherited retinal degeneration characterized by dysfunction and death of rod photoreceptors followed by cone photoreceptors (19,20). These studies indicate the very importance roles of splicing factors in both the development of retina and maintenance of visual function.
Pre-mRNAs processing factor 31 (PRPF31) is a constitutive component of spliceosomes, which participates in the assembly and stabilization of U4/U6/U5 tri-snRNP (21–23). Mutations in PRPF31 have been determined to be loss-of-function, resulting in reduced levels of activated snRNPs and decreased splicing efficiency (14,22,24). Remarkably, in patient-derived lymphocytes or siRNA-treated human organotypic retinal cultures, the insufficiency of PRPF31 only impaired the splicing of a subset of genes (22,25). In vivo studies in prpf31 transient knockdown zebrafish or Prpf31+/− mice also showed that the global transcriptome is mildly affected by Prpf31 deficiency, while the retinal-specific gene expression is more severely disturbed (26–28). In addition, PRPF31 may also participate in ciliogenesis and mitotic chromosome segregation independent of its splicing function (29,30). Although the role of PRPF31 in splicing process is well documented, the features of the alternatively spliced transcripts affected by PRPF31 deficiency and their biological functions at the cellular and tissue levels are not fully understood.
Why heterozygous mutations in the ubiquitous and essential gene PRPF31 lead to a retina-specific disease is an interesting and important question. One of the most promising assumptions is that the high demand for splicing activity in retinal cells makes them more sensitive to the deficiency of PRPF31. However, due to the lack of ideal PRPF31 animal models that can mimic the symptoms and progression of RP, such hypothesis could not be tested in vivo. The heterozygous Prpf31 knockout mice have no RP phenotype except the late-onset changes of RPE morphology and phagocytic ability, while the homozygous knockout mice die before embryonic day 10, which hinders further research (31–33). Morpholino-mediated knockdown of prpf31 in zebrafish also does not support long-term observations. In consideration of the in vitro developmental process of zebrafish embryos, a stable knockout model of prpf31 in zebrafish may promote the research on gene functions of prpf31 in early embryos, and may also have a chance to establish a RP model in adult prpf31+/− zebrafish.
Herein, we constructed a prpf31 knockout zebrafish model using CRISPR/Cas9 technology. The heterozygotes did not show any RP phenotypes, while the homozygotes died at 4–5 days post fertilization (dpf) with extensive developmental defects. Interestingly, we noticed that the retina was affected first and most in prpf31 knockout zebrafish when compared with other tissues at 36–60 h post fertilization (hpf). Our further studies revealed that Prpf31 directly regulates the alternative splicing and expression of genes involved in spindle organization and DNA repair, and prpf31 knockout impairs the mitosis and differentiation of retinal progenitor cells (RPCs) and causes numerous apoptosis. Analyzing the alternative splicing events in wild-type and prpf31 knockout zebrafish suggested that genes possessing a weak 5′ splicing site (5′SS) are more susceptible to Prpf31 deficiency. Our work for the first time determined the regulatory roles of Prpf31 in mitosis and DNA repair by promoting the alternative splicing of related genes, and also the essentiality of Prpf31 in the survival and differentiation of RPCs.
MATERIALS AND METHODS
Zebrafish lines
Zebrafish were maintained and bred at 28.5°C on a 14 h light/10 h dark cycle. If needed, 0.003% 1-phenyl-2-thiourea (PTU) (Sigma) was added at 12 hpf to suppress the pigmentation of embryos. The prpf31 knockout zebrafish was generated by CRISPR/Cas9 technology. The guide RNAs (gRNAs) were designed by CHOPCHOP (http://chopchop.cbu.uib.no/). The stable prpf31 mutant zebrafish line was obtained by several rounds of crossing and screening. The Tg (neurod1: EGFP) (CZ354), Tg (Huc: EGFP) (CZ160) and p53−/− (CZ266) lines were purchased from China Zebrafish Resource Center. All animals were treated following guidelines approved by the Ethics Committee of College of Life Science and Technology, Huazhong University of Science and Technology.
In vitro transcription and microinjection
For CRISPR/Cas9 experiments, Cas9 mRNA and gRNAs were synthesized using the mMESSAGE mMACHINE T7 Transcription Kit (Invitrogen, United States) and TranscriptAid T7 High Yield Transcription Kit (Thermo Scientific, USA), respectively. Then, 300 pg Cas9 mRNA and 100 pg gRNA were co-injected into the one-cell stage zebrafish embryos.
For rescue experiments, full-length coding sequences of zebrafish prpf31 and human PRPF31 were amplified from cDNA samples of wild-type zebrafish embryos and HEK293 cells. The mutant forms of PRPF31 were constructed by overlap extension PCR. The pCS2+8CmCherry vector was a gift from Amro Hamdoun (Addgene plasmid #34935). The cDNA fragments were subcloned into pCS2+8CmCherry. Capped mRNAs were synthesized using the mMESSAGE mMACHINE SP6 Transcription Kit (Invitrogen, USA), and injected into the 1–2 cell stage embryos with 100 pg.
In situ hybridization
In situ hybridization was performed as previously described (34). All of the templates of RNA probes were cloned from the cDNA library of the whole embryo at 48 hpf. The purified DNA fragment was inserted into the pGEM®-T Easy (Promega, A1360) and the connection direction was determined by DNA sequencing. Digoxigenin-labeled RNA probes were synthesized using MAXIscript™ SP6/T7 Transcription Kit (Invitrogen, USA). All primers sequence used to synthesize probes were listed in Supplementary Table S7. The images were captured by an optical microscope (BX53, Olympus). After imaging, the genotypes were identified.
Immunofluorescence assay
For immunostaining of whole-mount embryos, the embryos were fixed in 4% paraformaldehyde in PBS overnight, permeabilized with acetone for 15 min, blocked overnight and incubated with the primary antibodies at 4°C overnight and then the fluorescent secondary antibodies (Invitrogen, 1:500) at 37°C, 2 h. The cell nuclei were stained with DAPI (5 μg/ml). Immunostaining of frozen sections was performed as described previously (35). The following primary antibodies were used: Sox2 (GTX124477, GeneTex; 1:100), Islet1 (GTX102807, GeneTex; 1:100), Zpr1 (Zebrafish International Resource Center, 1:200), Zpr3 (Zebrafish International Resource Center, 1:200), α-tubulin (11224–1-AP, Proteintech; 1:100), phosphorylated histone H3 (AF3358, Affinity; 1:200), γH2AX (9178s, CST; 1:200) and Alexa Fluor 594 Phalloidin (A12381, Thermo Scientific; 1:200). The samples were imaged using a confocal microscope (FV1000, Olympus).
Cell apoptosis and proliferation detection
To detect cell apoptosis, the live embryos were incubated in the acridine orange solution (2 μg/ml, Sigma) for 30 min. After washing 5 times with E3 medium, the embryos were imaged with the fluorescence microscope (ECLIPSE 80i, Nikon). TUNEL staining was performed as previously described (34).
Cell proliferation was detected by the Cell-Light EdU Apollo567 In Vitro Kit (C10310-1, Ribobio, Guangzhou, China). Zebrafish embryos were incubated in egg-water containing 2 mM EDU (5-ethynyl-2′- deoxyuridine) for 30 min at 4°C. After rinsing three times in E3 medium, the embryos were transferred to fresh water for 2–3 h, and then fixed in 4% PFA. The tails were used for genotyping. The embryonic heads were dehydrated in 30% sucrose at 4°C overnight and embedded in OCT (SAKURA) for cryosectioning. The retinal sections were treated with EDU test kit according to the operating manual to visualize the proliferating cells. For the double labeling of EDU and phospho-histone H3 (pH3), the samples continue to be treated in accordance with the standard immunofluorescence procedure and analyzed by FV1000 (Olympus).
Live embryo Imaging
The H2A-mCherry mRNA was injected into embryos to label chromosomes in vivo. The embryos were anaesthetized by 0.02% tricaine (Sigma), and the chorion was removed. Embryos were embedded in small cell chambers containing 0.5% low melting agarose and kept at ∼23°C. Images were collected every 3–5 min using a 60× objective lens on the confocal microscope (FV1000, Olympus).
Western blotting
Zebrafish embryos at 36, 48 and 60 hpf were collected for protein extraction. The tails of embryos were used for genotyping. About 25 heads of each genotype were put together and lysed in RIPA lysis buffer with protease inhibitor. Western blotting was performed as described previously (35). The following antibodies were used in this study: anti-Prpf31 (sc-166792, santa cruz; 1:1000), anti-p53 (GTX128135, genetex; 1:1000), anti-γH2AX (Cat# 2577, CST; 1:1000), anti-GAPDH (60004, proteintech; 1:1000), anti-Mlh1 (11697-1-AP, proteintech; 1:500), anti-Rtel1 (25337-1-AP, proteintech; 1:500).
Single cell gel electrophoresis assay (comet assay)
Heads from 25 embryos were dissected and placed in 1–2 ml of ice cold PBS with 20 mM EDTA. Cell suspensions were prepared by mincing the tissues. Alkaline Comet Assay was performed according to the manufacturer's instruction in the Comet Assay Kit (Trevigen, Cat#, 4252-040-K). Alkaline electrophoresis was used to detect both DNA damage of single-strand breaks (SSB) and double-strand breaks (DSB). Images were captured by fluorescence microscopy (ECLIPSE 80i, Nikon) and analyzed by CASP software version 1.2.2 (36).
Quantitative PCR (qPCR)
Zebrafish embryos at 36 and 48 hpf were used for total RNA extraction. The tails were cut off and used for genotyping. For each of the samples, about 30 heads were dissected and put together to extract RNA using the TRIzol Reagent (Life Technologies). The quality and concentration were determined by agarose gel electrophoresis and micro-spectrophotometer (K5800, KAIAO, China). The cDNA was synthesized using the TransScript All-in-One First-Strand cDNA Synthesis SuperMix (TransGen Biotech, Beijing, China). qPCR was performed using the AceQ™ qPCR SYBR Green Master Mix (Vazyme Biotech, Nanjing, China) on the StepOnePlus™ real-time PCR system (Life Technologies). The relative changes of mRNA levels were calculated by the 2−ΔΔCt method using gapdh as an internal control. All the qPCR primers used in this study were shown in Supplementary Table S7.
Semi-quantitative reverse transcription-PCR (semi-RT-PCR) and splicing efficiency analysis
To determine the differential splicing efficiency in retina and other tissue, total RNAs were extracted from the ‘head’ parts (more enriched for eyes) or from the ‘tail’ parts. The detailed RNA extraction and cDNA synthesis processes were described above. Primers for this experiment were listed in Supplementary Table S7. PCR products were separated by electrophoresis on a 2% agarose gel and photographed with XRS+ (Bio-Rad). The quantification of DNA bands was finished in ImageJ (v1.8.0). The value of PSI (percent splicing in), which varies between 0 and 1 for evaluating the proportion of junction reads, was calculated as the percentage of correct splicing from the total junction reads.
Minigene construction and cell transfection
A DNA fragment of nsmce1 gene containing three exons and two introns with the alternatively spliced exon in the middle was amplified from zebrafish genomic DNA using Pfx MasterMix (CoWin Biosciences, Beijing, China). A mutant version with a strong 5′ splicing site was generated by site-directed mutagenesis described above. The two fragments were cloned into the pcDNA3.1 vector (Invitrogen) using the Trelief SoSoo cloning kit (TsingKe, Beijing, China). All plasmids were confirmed by DNA sequencing. HEK293 cells were transfected with PRPF31 siRNA or scrambled siRNA first, and 24 h later again transfected with the minigene vectors using the Lipofectamine 3000 reagent (Invitrogen). After another 36 h, the cells were collected to perform semi-RT-PCR analysis as described above. All primers used in this experiment were shown in Supplementary Table S7.
RNA-seq and bioinformatic analysis
The ‘head’ part of zebrafish bodies (36 hpf) were dissected and placed in TRIzol Reagent (Life Technologies) for RNA extraction. The remaining tissues were used for genotyping. A pool of 35 heads with the same genotype were combined together to extract total RNAs. The quality and quantity of RNA samples were evaluated by Bioanalyzer 2100 (Agilent) and Nanodrop. RNA-Seq was performed on an Illumina HiSeq2000 platform by Novogene (Beijing, China). The Hisat2 v2.0.4 was used to map the RNA-seq data to the zebrafish GRCz11 genome. The number of read counts matched for each gene was used to determine gene expression by featureCounts (37). TMM was used to further normalize gene expression counts between samples (38). Gene expression was measured from the mapped reads by using HT-seq-count (intersection-strict mode) and differentially expressed (DE) genes were determined by the R package DESeq2 using the following cut-off values: FC ≥ 2 and adjusted P-value ≤0.05. Gene Ontology enrichment analyses were performed with DAVID (39). Alternative splicing was analyzed by rMATS (version 3.0.9) and indicated as PSI (percent-spliced-in) values (40,41). For metascape enrichment analysis, the defined cut-off used for identifying differential splicing events was assigned to FDR ≤0.05, ΔPSI ≥20%. RNA-seq data in this study have been uploaded to GEO under accession number GSE151273.
Statistical analysis
All experiments were independently repeated at least three times. The number of samples used in each experiment was shown in the ‘material and methods’ or figure legends. The data were analyzed with an unpaired, two-tailed t-test or one-way ANOVA using GraphPad Prism 5. The results are shown as the mean ± SD. The level of significance was set to P < 0.05. *, **, *** and **** represented P <0.05, P < 0.01, P < 0.001 and P < 0.0001, respectively.
RESULTS
CRISPR/Cas9 mediated knockout of prpf31 causes early retina defects
The temporal and spatial expression of prpf31 was determined by in situ hybridization (Supplementary Figure S1A). Like many splicing factors, prpf31 is maternally expressed before 24 hpf and widely expressed at later stages (24, 48, 60 and 72 hpf). Noticeably, prpf31 was enriched in the central nervous system, especially the developing eye. These data lead us to speculate that Prpf31 could have a key role in eye formation. To determine this issue, we knocked out prpf31 in zebrafish using CRISPR/Cas9 technology. The target site was designed at exon 2 of prpf31 (Figure 1A). A 134 bp deletion and 18 bp insertion mutation (163_296delins18) was identified by DNA sequencing and gel electrophoresis (Figure 1A, B). The mutation was predicted to cause a truncated Prpf31 protein (p.S55fs*102). The mRNA levels of prpf31 were significantly decreased in mutant zebrafish at 36 and 48 hpf (Figure 1C), suggesting the nonsense-mediated decay of mutant prpf31 mRNAs. Meanwhile, the Prpf31 protein was also markedly decreased, but did not completely disappear, likely due to the maternal deposit (Figure 1D).
The prpf31+/− zebrafish showed no signs of retinal degeneration. The prpf31−/− embryos exhibited obvious morphological abnormalities since 60 hpf, including microphthalmia, smaller head and curved bodies (Figure 1E, G, H). These defects became more pronounced over time, and eventually the embryos died around 4–5 dpf. Importantly, these morphological defects were fully rescued by injecting wild-type prpf31 mRNAs (Figure 1F−H), indicating that they were indeed caused by prpf31 deletion.
Interestingly, we noticed that at 36 and 48 hpf, the prpf31 mutants showed no significant difference with the wild-type siblings, except for the severely affected eyes and moderately affected brains (Supplementary Figure S2). As the eye is most obviously affected, we performed histological analysis on retinal cryosections of wild-type and prpf31−/− zebrafish at 36, 48 and 60 hpf. In contrast to the regular retinal layers in the wild-type siblings, the mutants showed a disorganized cellular arrangement and condensed nuclear morphology at 48 and 60 hpf (Supplementary Figure S3). These results suggested there may be extensive differentiation defects and apoptosis in prpf31 knockout retinas.
Prpf31 is required for the differentiation of retinal progenitor cells
Retinal lamination is initiated by migration of post-mitotic neurons to the appropriate cell layer, at which they become mature neurons and establish synapses between different cell layers (42). The multipotent RPCs (retinal progenitor cells) can differentiate into all types of retinal neurons and Muller glial cells (43). To determine the differentiation patterns of retinal cells in prpf31 mutants, markers for RPCs (Sox2), differentiated retinal neurons (Islet1 for inner nuclear layer cells, Zpr-1 and Zpr-3 for photoreceptor cells) and glial cells (Gfap) were examined by immunofluorescent assays (Figure 2A, Supplementary Figure S4A, B). We observed the aberrant accumulation and disorganized distribution of RPCs in the prpf31−/− retinas. Meanwhile, all the neural lineages and glial cells were substantially reduced. Injection of wild-type prpf31 mRNAs could largely rescue the differentiation defects in mutant retinas. To further confirm these results, the Tg(Neurod1:EGFP) and Tg(Huc:EGFP) transgene zebrafish were used to label the specialized neurons and post-mitotic neurons, respectively (44,45). Consistently, both Neurod1:EGFP+ and Huc:EGFP+ cells were dramatically reduced in prpf31−/− retinas (Figure 2B).
Given that the differentiated neurons are directly derived from the corresponding neural precursors, we further examined various neuronal precursor cells by in situ hybridization assays. Consistent with the above results, the signals and distributions of RPC markers vsx2 and ccnd1 were significantly strengthened in mutants at 48 and 60 hpf (Figure 2C). However, the neuronal precursors (atoh7, crx1) and mature neurons (neurod1, tuba1) in mutants were markedly reduced at both 48 and 60 hpf compared with siblings. Taken together, above results indicated that in absence of Prpf31, the RPCs could not differentiate into various retinal lineages during neurogenesis.
Deleting Prpf31 activates the p53 pathway and triggers RPCs apoptosis
Aside from severe differentiation defects, our preliminary results also suggested numerous apoptosis in prpf31 mutants based on the condensed nuclear morphology in the retina (Supplementary Figure S3, white arrows). To confirm this, we measured apoptotic cells using acridine orange staining and TUNEL assay in siblings and prpf31−/− embryos at 24, 36 and 48 hpf. Increased apoptosis in prpf31−/− retinas could be observed as early as 36 hpf (Supplementary Figure S5A). At 48 hpf, apoptotic signals were further enhanced and mainly concentrated in the retina. A weaker distribution in the brain and spinal cord could also be observed (Figure 3A, white arrows). Remarkably, the distribution pattern of the apoptosis largely coincided with the developmental defects described above.
To identify which cell types were affected by apoptosis in prpf31−/− retinas, whole mount immunostaining was performed to examine the colocalization of TUNEL staining and RPCs marker or neuron marker at 48 hpf. As shown in Supplementary Figure S5B, TUNEL+ cells were considerably overlapped with the Sox2+ cells, but not the Islet1+ cells in the retinas of prpf31 mutants. This result indicated that the apoptotic cells are primarily RPCs, and Prpf31 is more crucial for the survival of RPCs rather than the differentiated lineages.
Activated p53 pathway is the most common apoptosis-inducing factor (46,47). Therefore, we wanted to know whether the p53 pathway was involved in the apoptosis of RPCs in prpf31 mutants. Quantitative PCR results showed that the expression of p53 and its downstream genes were significantly up-regulated in prpf31 mutants. We also constructed the prpf31 and p53 double knockout zebrafish by crossing the two single knockout lines. As expected, deletion of p53 in prpf31−/− zebrafish could effectively reduce the expression of p53 downstream genes (Supplementary Figure S5C) and inhibit cell apoptosis (Figure 3C, DSupplementary Figure S6A, B). However, no effect on the RPC differentiation was observed (Figure 3C, E, F). Together, these results suggested that activation of p53 pathway is the direct cause of RPCs’ apoptosis, but is not responsible for the differentiation failure.
Prpf31 deficiency causes abnormal spindle structure and mitotic arrest
The accumulation of undifferentiated RPCs in prpf31−/− embryos implied that RPCs were either hyper-proliferative or were arrested in cell cycle. To determine the cell cycle and proliferation status of RPCs in mutants, EDU incorporation assay and pH3 (phosphorylated histone H3) immunostaining was performed at 36 and 48 hpf. No significant changes in EDU+ signals were observed between siblings and prpf31−/− embryos at both stages, suggesting that RPCs were not excessively proliferating (Figure 4A, B). However, pH3+ cells were dramatically increased throughout the retina at 48 hpf, implying that RPCs were more likely to be blocked in the M-phase. Moreover, the transition of the proliferating RPCs from S phase to M phase was normal in mutants which was measured by the number of EDU and pH3 double positive cells (48,49). This result was further reinforced by the observation of DAPI staining under a high-resolution mode of microscopy. Numerous nuclei with aberrant chromatin structure could be observed at 48 and 60 hpf (green arrows in Supplementary Figure S7), resembling chromosome nondisjunction during mitosis (50). Based on these observations, we speculated that there are might be gross defects in the cell cycle of RPCs lacking Prpf31.
To directly observe the effect of Prpf31 deletion on mitotic progression, we performed time-lapse imaging of RPCs by injecting the H2A-mCherry mRNAs into zebrafish embryos to label the chromosomes. For each mitotic cell, we measured the time from the start of nuclear envelope breakdown (NEBD) to the anaphase of mitosis (29). At 36 hpf, all of the imaged RPCs from siblings and prpf31−/− retinas entered anaphase successfully within 35 min (Figure 4C, D). However, at 48 hpf, compared to the well-behaved RPCs in siblings, only 4 of the 15 imaged RPCs in prpf31−/− embryos could enter anaphase within 90 min. The rest were unable to align nor separate properly within 150 min (Figure 4C, E). These results demonstrate that mitosis, particularly the chromosome alignment step, was severely impaired in prpf31 mutant RPCs.
The mitotic spindle is controlled by the assembly and depolymerization of microtubules dynamically, and is required for chromosome alignment and segregation during mitosis. We suspected whether Prpf31 depletion impaired the spindle function in prpf31 mutants. To test this hypothesis, the spindle were visualized by immunofluorescent staining using an anti-α-tubulin antibody (Figure 4F). Both siblings and prpf31 mutants exhibited normal spindle structures and typical mitotic phases (prometaphase, metaphase, anaphase and telophase) at 36 hpf (Figure 4F). However, compared with siblings (52/52), only 11 of the 58 mitotic events in mutants were normal at 48 hpf. The other events (47/58) presented spindle malformations accompanied by misaligned chromatid (Figure 4F, G).
Long mitotic delays may threaten genome stability and induce apoptosis in cells (51). To determine the ultimate fate of these arrested mitotic cells, co-staining for pH3 and TUNEL was performed at 60 hpf. pH3 positive RPCs were partially undergoing apoptosis in prpf31 mutants (Supplementary Figure S8). Together, these results indicated that the majority of dividing RPCs were blocked at the M-phase due to the damage of spindle assembly and the misalignment of chromatids. Such cell cycle arrest hindered the self-renewal, differentiation and survival of RPCs at the early stage of retinal neurogenesis.
Accumulation of DNA damages in prpf31−/− retinas
Since the activation of p53 pathway and apoptosis appeared as early as 36 hpf in prpf31−/− retinas (Figure 3B, Supplementary Figure S5A), the aberrant mitosis observed after 48 hpf (Figure 4A−F) could not fully explain the earlier defects. Many reports have shown that ablation of certain splicing factors cause severe DNA damage in vivo and in vitro (5,52–54). We suspected that DNA damage may also occur in prpf31 mutants. To validate this hypothesis, the expression of γH2AX, a sensitive marker of DNA damage, was assessed in siblings and prpf31−/− retinas by immunostaining at 36, 48 and 60 hpf (Figure 5A, B). Compared with siblings, more γH2AX labeled cells were observed in prpf31 mutant retinas at 36 and 48 hpf. Notably, the γH2AX signals attenuated significantly at 60 hpf, possibly due to the extensive apoptosis of these cells. Alkaline comet assay was performed to directly measure the levels of DNA single/double-strand break (55). More DNA breaking signals were detected in prpf31 mutants (Figure 5C, D). In addition, the expression levels of p53 and γH2AX were examined by western blot. γH2AX and p53 accumulated gradually with the decrease of Prpf31 (Figure 5E). These results suggested that Prpf31 is essential for preventing DNA damage and maintaining genomic stability in RPCs.
RP-associated PRPF31 mutants could not rescue the retinal defects in prpf31 knockout zebrafish
To take advantage of the prpf31 knockout zebrafish model to explore the effects of human RP-associated PRPF31 mutations in vivo, we constructed two mutant forms of PRPF31, p.Lys257fs*277 and p.Arg372Glnfs*99, and injected them into wild-type and prpf31 mutant embryos. The resulting phenotypes were assessed at 60 hpf. Compared with the wild-type PRPF31 mRNA, which could well rescue the microphthalmia and defects of apoptosis, proliferation and differentiation in prpf31 mutants, the two mutant PRPF31 mRNAs did not show any rescue effects (Figure 6). In addition, injection of the p.Arg372Glnfs*99 mutated PRPF31 mRNA worsened the phenotype of prpf31 mutant zebrafish, and even arrested the development of wild-type siblings under a high-dose condition (Figure 6A−F, Supplementary Figure S9A, B). Our results indicated that the function of PRPF31 is highly conserved between zebrafish and human. More importantly, we showed that the RP-related p.Lys257fs*277 mutation is loss-of-function, and the p.Arg372Glnfs*99 mutation has an adverse effect on retinal cells when overexpressed.
Prpf31 modulates the alternative splicing of a subset of genes involved in DNA repair and mitosis progression
To investigate the global effects of prpf31 knockout on gene expression and pre-mRNAs splicing in vivo, we performed RNA-seq of siblings and prpf31 mutants at 36 hpf. A total of 701 differentially expressed (DE) genes (Supplementary Figure S10A, Table S1) were identified. Functional enrichment analysis showed that the downregulated genes were mainly involved in retina differentiation, nervous system development, biosynthetic processes etc. (Supplementary Figure S10B, Table S2). which was consistent with the severe retinal defects observed in prfp31−/− embryos. Meanwhile, the upregulated genes were enriched in RNA splicing, mRNA processing, gene expression etc. (Supplementary Figure S10C, Table S2). Upregulation of these genes were likely caused by a feedback mechanism in response to Prpf31 deficiencies.
After identifying and comparing the alternative splicing events in WT and prpf31 mutant zebrafish, we found that only a small number of alternative splicing events (669/50 796) were significantly altered by prpf31 deletion, most of which resulted in the skipping of exons (Supplementary Figure S11A−C, Table S3). Over 200 differentially splicing (DS) events were randomly selected and inspected manually. The vast majority of them (94%) reached the standard (junction reads ≥ 10) and could be regarded as real differentially splicing events (Supplementary Figure S12).
To determine the genes and functions underlying the differentially splicing events, we performed functional enrichment analysis in the affected genes. The biological processes of DNA repair and mitosis were significantly enriched among all the DS events (Figure 7A, Supplementary Figure S13, Table S4). The expression levels and alternative splicing events of the representative genes were visualized by UCSC (Table S6) and confirmed by qPCR, western blot (Figure 7B, C) and semi-RT-PCR (Figure 7D, E), respectively. The severity of aberrant splicing (reflected by the ΔPSI values, changed percent splicing in) corresponded with the decreased expression of these genes at mRNA and protein levels (Table S5).
In the above study, we have shown that the retina is the most seriously affected tissue in prpf31 mutants. We wondered if the same pattern also exists at the splicing level. RNA samples from the ‘head’ (retina-enriched) and ‘tail’ parts of the wild-type and mutant zebrafish at 36 and 48 hpf were prepared, and semi-RT-PCR analysis was performed for the genes with aberrant splicing and decreased expression (Figure 7D). The ΔPSI values were measured in the two types of tissues, and showed that the splicing of these events were more seriously suppressed in the ‘head’ tissues of prpf31 mutants (Figure 7D, E). As for the genes with aberrant splicing and normal mRNA levels, the same assay was performed in the two types of samples. Except for some genes didn’t show aberrant splicing (Supplementary Table S5), the impacts of prpf31 deletion on the alternative splicing of remaining genes also showed a certain degree of retinal specificity (Supplementary Figure S14A, B).
Together, these data indicated that deleting the constitutive splicing factor Prp31 may primarily affect the alternative splicing of specific genes involved in mitosis and DNA repair at the early embryonic stage, and the retina is more sensitive to Prpf31 deficiency than other tissues.
Exons with weak 5′SS and short length are more frequently skipped upon prpf31 deletion
Exon-skipping is most common in all identified differentially splicing events (544/669). Most of the exon-skipping events showed a decreased PSI (496/544), which were classified into the ‘PSI-down’ group. To determine the common features of the most affected alternative splicing events by prpf31 deletion, we analyzed the sequence characteristics of these exons. Exons in the ‘PSI-down’ group generally possess weaker 5′ splicing sites (5′SS) and shorter intron lengths (Figure 8A, B). No significant differences in GC content between these groups were observed (Figure 8C).
To test if the weak 5′SS strength is the reason that the splicing of these events were more vulnerable to prpf31 deletion, we performed the minigene analysis in HEK293 cells. Two versions of nsmce1-minigene, containing the skipped exon 4 and two flanking introns and exons, were constructed (Figure 8D). The wild-type exon 4 has a very weak 5′SS (score, 0.5) that is far less than the average level (score, 8.4). We mutated several nucleotides around 5′SS to enhance the splicing site strength according to a previous study (56). Semi-RT-PCR was performed to detected the splicing of the two minigenes. We found that knockdown of PRPF31 in HEK293 cells by RNA interference significantly suppressed the splicing of wild-type nsmce1-minigene, which is consistent with our findings in prpf31 mutant zebrafish (Supplementary Figure S14A). However, the enhanced version of nsmce1-minigene was normally spliced in both PRPF31-depleted and negative-control cells (Figure 8E, F). These results indicated that PRPF31 tends to modulate the alternative splicing of genes possessing short exons with weak 5′ splicing sites.
DISCUSSION
In the present study, we identified the important roles of prpf31 in the survival and differentiation of RPCs. Deletion of Prpf31 causes aberrant mitosis and accumulation of DNA damages in RPCs, which impedes the differentiation of RPCs and finally leads to apoptosis. Our RNA-seq analysis and subsequent studies suggested a direct role of Prpf31 in spindle organization and DNA damage response by regulating the alternative splicing and expression of related genes. To our knowledge, it's the first time to elucidate the gene functions of PRPF31 in cell division and DNA repair, and reveal the cellular and molecular mechanisms underlying the specific defects during retinal neurogenesis in prpf31 knockout zebrafish.
Knockdown of certain splicing factors could cause various mitotic defects (57,58). The mechanism of how these splicing factors regulate the progress of mitosis remains questionable. Venkitaraman et al. have shown that reducing the expression of PRPF8 impairs the splicing of genes related to the mitotic process (10). Recently, Pellacani et al. found that the PRPF31 protein directly interacts with spindle microtubules and Ndc80 complex in Drosophila and human cells to participate in the mitotic process (29). Our in vivo studies also showed a severe mitotic arrest due to aberrant spindle structure and defective chromatid alignment upon Prpf31 deletion, and suggested that Prpf31 regulates mitosis through its RNA processing function. Therefore, we believe that both Physiological functions of PRPF31 are present in cells and work independently.
DNA replication stress and aberrant chromosome separation are two main causes of DNA damage and genomic instability in proliferating cells (59). Paulsen et al. showed that PRPF6 and PRPF8 may be involved in protecting the genome from damage by a genome-wide siRNA screen (60). However, the relationship between RP-related splicing factors and genomic stability is unclear. In this study, we demonstrated that deprivation of Prpf31 causes exon skipping and disrupted expression of genes involved in DNA interstrand crosslink repair and homologous recombination repair, such as rad51b, rad17, rtel1, mlh1 and rad9a (Table S9). Based on our results and previous studies, we speculated that the high proliferative activity and insufficient splicing efficiency in RPCs may cause excessive replication stress and DNA damage. The reduction of DNA repair capacity and aberrant chromosome separation due to mis-splicing of related genes further worsen the situation and lead to genome stability and p53-dependent apoptosis.
An important question is whether the functions and regulatory mechanism of Prpf31 in cell division and DNA repair identified in this study are related to the pathogenic mechanisms of PRPF31-associated RP. The mutant forms of PRPF31 derived from RP patients could not rescue the defects of PRCs, suggesting that these mutations indeed disrupt the corresponding functions. Unfortunately, the prpf31+/− zebrafish are symptomless and could not serve as a RP animal model for testing if these changes in RPCs also occur in the degenerating photoreceptors. Our and other studies have shown that truncated PRPF31 proteins retaining a relatively long N-terminal structure have a dominant-negative effect and may be more detrimental. Mimicking these mutations by moving the CRISPR/cas9 target toward the 3' end of prpf31 may be a promising strategy for generating an appropriate RP model in further studies.
Aberrant mRNA splicing of phototransduction and ciliary genes have been implicated in the pathogenesis of PRPF31-associated RP (22,24,61,62). In this study, we detected no obvious mis-splicing of phototransduction genes, likely because the early differentiation defects of RPCs lead to limited expression of these genes in prpf31 knockout retinas. It is worth mentioning that, the microtubule-related genes involved in the spindle formation also play an important role in ciliogenesis (Supplementary Table S8). Mis-splicing of these genes due to Prpf31 deficiency may lead to abnormal cilia in photoreceptors, and thereby cause dysfunction and death of photoreceptors. More studies are needed to confirm whether the structure and function of cilia are affected in prpf31 knockout zebrafish.
The reason of why haploinsufficiencies of several ubiquitous core splicing factors necessary for all cells cause a retinal-specific disease remains unclear. Our study showed that the retina is most sensitive to Prpf31 deletion during embryonic development, as reflected by not only the severest morphological and cellular defects but also the most affected alternative splicing events in prpf31 knockout retinas. Although most of the affected genes are broadly expressed, the alternative splicing events show a certain degree of retinal specificity, suggesting a higher demand of splicing efficiency in retina. This may explain the earliest and most serious retinal defects in prpf31 mutant zebrafish or RP patients.
To summarize, we determined the essential roles of Prpf31 in maintaining mitosis, differentiation and survival of RPCs by modulating pre-mRNA splicing of genes involved in spindle formation and DNA repair (Figure 9). This study expands our understanding of the specific biological functions of Prpf31 in retinal neurogenesis, and provides clues for the functional studies of PRPF31 and underlying pathogenesis of RP caused by mutations in splicing factors.
DATA AVAILABILITY
RNA-seq data in this study have been uploaded to GEO under accession number GSE151273.
All code used for bioinformatics analysis in this study was stored in GitHub, https://github.com/ytzhaobioinfo/prpf31.
UCSC tracks, http://genome.ucsc.edu/s/yuntong1994/Prpf31.
Supplementary Material
ACKNOWLEDGEMENTS
The authors thank the China Zebrafish Resource Center (CZRC) for providing the Tg(huc:EGFP) and Tg(neurod1:EGFP) transgenic line, and the construction laboratories of these transgenic lines: Nechiporuk, Alex. OHSU School of medicine, Department of cell and developmental biology. The authors are especially grateful to Dr Luoying Zhang (Huazhong University of science and technology) for her critical reading and valuable comments.
Author contributions: M.L. and Z.T. developed the concept of this study. J.L. and F.L. designed the study and K.S., Y.L. and S.Y. performed most of the experiments in this study. J.T. and X.L. performed the generation of prpf31−/− zebrafish by TALEN technology. Y.Q contributed in vector construction and western blot. Y.H., P.G., D.J., X.C. and Y.H. helped in real-time PCR assays and the in-situ assays. M.L., Z.T., D.L., Y.Z. and X.S. analyzed the data. J.L., F.L., M.L., X.S. and R.J. prepared the draft and final version of the manuscript. All authors reviewed the results and approved the manuscript.
Contributor Information
Jingzhen Li, Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei 430074, PR China.
Fei Liu, Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei 430074, PR China.
Yuexia Lv, Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei 430074, PR China.
Kui Sun, Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei 430074, PR China.
Yuntong Zhao, State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Innovation Academy for Seed Design, Chinese Academy of Science, Wuhan 430072, PR China.
Jamas Reilly, Department of Life Sciences, Glasgow Caledonian University, Glasgow G4 0BA, Scotland, UK.
Yangjun Zhang, Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei 430074, PR China.
Jiayi Tu, Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei 430074, PR China.
Shanshan Yu, Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei 430074, PR China.
Xiliang Liu, Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei 430074, PR China.
Yayun Qin, Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei 430074, PR China.
Yuwen Huang, Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei 430074, PR China.
Pan Gao, Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei 430074, PR China.
Danna Jia, Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei 430074, PR China.
Xiang Chen, Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei 430074, PR China.
Yunqiao Han, Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei 430074, PR China.
Xinhua Shu, Department of Life Sciences, Glasgow Caledonian University, Glasgow G4 0BA, Scotland, UK.
Daji Luo, State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Innovation Academy for Seed Design, Chinese Academy of Science, Wuhan 430072, PR China.
Zhaohui Tang, Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei 430074, PR China.
Mugen Liu, Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei 430074, PR China.
SUPPLEMENTARY DATA
Supplementary Data are available at NAR Online.
FUNDING
National Natural Science Foundation of China [81670890, 31871260, 31801041, 81800870, 81870691].
Conflict of interest statement. None declared.
REFERENCES
- 1. Matera A.G., Wang Z.. A day in the life of the spliceosome. Nat. Rev. Mol. Cell Biol. 2014; 15:108–121. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. Carey K.T., Wickramasinghe V.O.. Regulatory potential of the RNA processing machinery: implications for human disease. Trends Genet. 2018; 34:279–290. [DOI] [PubMed] [Google Scholar]
- 3. Pan Q., Shai O., Lee L.J., Frey B.J., Blencowe B.J.. Deep surveying of alternative splicing complexity in the human transcriptome by high-throughput sequencing. Nat. Genet. 2008; 40:1413–1415. [DOI] [PubMed] [Google Scholar]
- 4. Wang E.T., Sandberg R., Luo S., Khrebtukova I., Zhang L., Mayr C., Kingsmore S.F., Schroth G.P., Burge C.B.. Alternative isoform regulation in human tissue transcriptomes. Nature. 2008; 456:470–476. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Jimenez M., Urtasun R., Elizalde M., Azkona M., Latasa M.U., Uriarte I., Arechederra M., Alignani D., Barcena-Varela M., Alvarez-Sola G.et al.. Splicing events in the control of genome integrity: role of SLU7 and truncated SRSF3 proteins. Nucleic Acids Res. 2019; 47:3450–3466. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Tan D.Q., Li Y., Yang C., Li J., Tan S.H., Chin D.W.L., Nakamura-Ishizu A., Yang H., Suda T.. PRMT5 modulates splicing for genome integrity and preserves proteostasis of hematopoietic stem cells. Cell Rep. 2019; 26:2316–2328. [DOI] [PubMed] [Google Scholar]
- 7. Ahn E.Y., DeKelver R.C., Lo M.C., Nguyen T.A., Matsuura S., Boyapati A., Pandit S., Fu X.D., Zhang D.E.. SON controls cell-cycle progression by coordinated regulation of RNA splicing. Mol. Cell. 2011; 42:185–198. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. Pleiss J.A., Whitworth G.B., Bergkessel M., Guthrie C.. Transcript specificity in yeast pre-mRNA splicing revealed by mutations in core spliceosomal components. PLoS Biol. 2007; 5:e90. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Park J.W., Parisky K., Celotto A.M., Reenan R.A., Graveley B.R.. Identification of alternative splicing regulators by RNA interference in Drosophila. PNAS. 2004; 101:15974–15979. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Wickramasinghe V.O., Gonzalez-Porta M., Perera D., Bartolozzi A.R., Sibley C.R., Hallegger M., Ule J., Marioni J.C., Venkitaraman A.R.. Regulation of constitutive and alternative mRNA splicing across the human transcriptome by PRPF8 is determined by 5' splice site strength. Genome Biol. 2015; 16:201. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Lei L., Yan S.Y., Yang R., Chen J.Y., Li Y., Bu Y., Chang N., Zhou Q., Zhu X., Li C.Y.et al.. Spliceosomal protein eftud2 mutation leads to p53-dependent apoptosis in zebrafish neural progenitors. Nucleic Acids Res. 2017; 45:3422–3436. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Li Z., Zhang Y., Bush S.J., Tang C., Chen L., Zhang D., Urrutia A.O., Lin J.W., Chen L.. MeDAS: aMetazoan developmental alternative splicing database. Nucleic Acids Res. 2020; 49:D144–D150. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Kim P., Yang M., Yiya K., Zhao W., Zhou X.. ExonSkipDB: functional annotation of exon skipping event in human. Nucleic Acids Res. 2020; 48:D896–D907. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Farkas M.H., Grant G.R., White J.A., Sousa M.E., Consugar M.B., Pierce E.A.. Transcriptome analyses of the human retina identify unprecedented transcript diversity and 3.5 Mb of novel transcribed sequence via significant alternative splicing and novel genes. BMC Genomics. 2013; 14:486. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Scotti M.M., Swanson M.S.. RNA mis-splicing in disease. Nat. Rev. Genet. 2016; 17:19–32. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Ruzickova S., Stanek D.. Mutations in spliceosomal proteins and retina degeneration. RNA Biol. 2017; 14:544–552. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Wan J., Masuda T., Hackler L. Jr, Torres K.M., Merbs S.L., Zack D.J., Qian J.. Dynamic usage of alternative splicing exons during mouse retina development. Nucleic Acids Res. 2011; 39:7920–7930. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Xu Q., Modrek B., Lee C.. Genome-wide detection of tissue-specific alternative splicing in the human transcriptome. Nucleic Acids Res. 2002; 30:3754–3766. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. Tanackovic G., Ransijn A., Thibault P., Abou Elela S., Klinck R., Berson E.L., Chabot B., Rivolta C.. PRPF mutations are associated with generalized defects in spliceosome formation and pre-mRNA splicing in patients with retinitis pigmentosa. Hum. Mol. Genet. 2011; 20:2116–2130. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. Pinelli M., Carissimo A., Cutillo L., Lai C.H., Mutarelli M., Moretti M.N., Singh M.V., Karali M., Carrella D., Pizzo M.et al.. An atlas of gene expression and gene co-regulation in the human retina. Nucleic Acids Res. 2016; 44:5773–5784. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Weidenhammer E.M., Singh M., Ruiz-Noriega M., Woolford J.L. Jr. The PRP31 gene encodes a novel protein required for pre-mRNA splicing in Saccharomyces cerevisiae. Nucleic Acids Res. 1996; 24:1164–1170. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. Azizzadeh Pormehr L., Ahmadian S., Daftarian N., Mousavi S.A., Shafiezadeh M.. PRPF31 reduction causes mis-splicing of the phototransduction genes in human organotypic retinal culture. Eur. J. Hum. Genet.: EJHG. 2020; 28:491–498. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23. Makarova O.V., Makarov E.M., Liu S., Vornlocher H.P., Luhrmann R.. Protein 61K, encoded by a gene (PRPF31) linked to autosomal dominant retinitis pigmentosa, is required for U4/U6*U5 tri-snRNP formation and pre-mRNA splicing. EMBO J. 2002; 21:1148–1157. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24. Buskin A., Zhu L., Chichagova V., Basu B., Mozaffari-Jovin S., Dolan D., Droop A., Collin J., Bronstein R., Mehrotra S.et al.. Disrupted alternative splicing for genes implicated in splicing and ciliogenesis causes PRPF31 retinitis pigmentosa. 2018; 9:4234. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25. Ivings L., Towns K.V., Matin M.A., Taylor C., Ponchel F., Grainger R.J., Ramesar R.S., Mackey D.A., Inglehearn C.F.. Evaluation of splicing efficiency in lymphoblastoid cell lines from patients with splicing-factor retinitis pigmentosa. Mol. Vis. 2008; 14:2357–2366. [PMC free article] [PubMed] [Google Scholar]
- 26. Linder B., Dill H., Hirmer A., Brocher J., Lee G.P., Mathavan S., Bolz H.J., Winkler C., Laggerbauer B., Fischer U.. Systemic splicing factor deficiency causes tissue-specific defects: a zebrafish model for retinitis pigmentosa. Hum. Mol. Genet. 2011; 20:368–377. [DOI] [PubMed] [Google Scholar]
- 27. Yin J., Brocher J., Fischer U., Winkler C.. Mutant Prpf31 causes pre-mRNA splicing defects and rod photoreceptor cell degeneration in a zebrafish model for Retinitis pigmentosa. Mol. Neurodegener. 2011; 6:56. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Valdes-Sanchez L., Calado S.M., de la Cerda B., Aramburu A., Garcia-Delgado A.B., Massalini S., Montero-Sanchez A., Bhatia V., Rodriguez-Bocanegra E., Diez-Lloret A.et al.. Retinal pigment epithelium degeneration caused by aggregation of PRPF31 and the role of HSP70 family of proteins. Mol. Med. 2019; 26:1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29. Pellacani C., Bucciarelli E., Renda F., Hayward D., Palena A., Chen J., Bonaccorsi S., Wakefield J.G., Gatti M., Somma M.P.. Splicing factors Sf3A2 and Prp31 have direct roles in mitotic chromosome segregation. eLife. 2018; 7:e40325. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Wheway G., Schmidts M., Mans D.A., Szymanska K., Nguyen T.T., Racher H., Phelps I.G., Toedt G., Kennedy J., Wunderlich K.A.et al.. An siRNA-based functional genomics screen for the identification of regulators of ciliogenesis and ciliopathy genes. Nat. Cell Biol. 2015; 17:1074–1087. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31. Bujakowska K., Maubaret C., Chakarova C.F., Tanimoto N., Beck S.C., Fahl E., Humphries M.M., Kenna P.F., Makarov E., Makarova O.et al.. Study of gene-targeted mouse models of splicing factor gene Prpf31 implicated in human autosomal dominant retinitis pigmentosa (RP). Invest. Ophthalmol. Vis. Sci. 2009; 50:5927–5933. [DOI] [PubMed] [Google Scholar]
- 32. Graziotto J.J., Farkas M.H., Bujakowska K., Deramaudt B.M., Zhang Q., Nandrot E.F., Inglehearn C.F., Bhattacharya S.S., Pierce E.A.. Three gene-targeted mouse models of RNA splicing factor RP show late-onset RPE and retinal degeneration. Invest. Ophthalmol. Vis. Sci. 2011; 52:190–198. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33. Farkas M.H., Lew D.S., Sousa M.E., Bujakowska K., Chatagnon J., Bhattacharya S.S., Pierce E.A., Nandrot E.F.. Mutations in pre-mRNA processing factors 3, 8, and 31 cause dysfunction of the retinal pigment epithelium. Am. J. Pathol. 2014; 184:2641–2652. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34. Yu S., Jiang T., Jia D., Han Y., Liu F., Huang Y., Qu Z., Zhao Y., Tu J., Lv Y.et al.. BCAS2 is essential for hematopoietic stem and progenitor cell maintenance during zebrafish embryogenesis. Blood. 2019; 133:805–815. [DOI] [PubMed] [Google Scholar]
- 35. Qu Z., Yimer T.A., Xie S., Wong F., Yu S., Liu X., Han S., Ma J., Lu Z., Hu X.et al.. Knocking out lca5 in zebrafish causes cone-rod dystrophy due to impaired outer segment protein trafficking. Biochim. Biophys. Acta. Mol. Basis Dis. 2019; 1865:2694–2705. [DOI] [PubMed] [Google Scholar]
- 36. Konca K., Lankoff A., Banasik A., Lisowska H., Kuszewski T., Gozdz S., Koza Z., Wojcik A.. A cross-platform public domain PC image-analysis program for the comet assay. Mutat. Res. 2003; 534:15–20. [DOI] [PubMed] [Google Scholar]
- 37. Liao Y., Smyth G.K., Shi W.. featureCounts: an efficient general purpose program for assigning sequence reads to genomic features. Bioinformatics. 2014; 30:923–930. [DOI] [PubMed] [Google Scholar]
- 38. Robinson M.D., Oshlack A.. A scaling normalization method for differential expression analysis of RNA-seq data. Genome Biol. 2010; 11:R25. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39. Huang da W., Sherman B.T., Lempicki R.A.. Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources. Nat. Protoc. 2009; 4:44–57. [DOI] [PubMed] [Google Scholar]
- 40. Love M.I., Huber W., Anders S.. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. 2014; 15:550. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41. Shen S., Park J.W., Lu Z.X., Lin L., Henry M.D., Wu Y.N., Zhou Q., Xing Y.. rMATS: robust and flexible detection of differential alternative splicing from replicate RNA-Seq data. PNAS. 2014; 111:E5593–E5601. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42. Amini R., Rocha-Martins M., Norden C.. Neuronal migration and lamination in the vertebrate retina. Front. Neurosci. 2017; 11:742. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43. Agathocleous M., Harris W.A.. From progenitors to differentiated cells in the vertebrate retina. Annu. Rev. Cell Dev. Biol. 2009; 25:45–69. [DOI] [PubMed] [Google Scholar]
- 44. McCammon J.M., Blaker-Lee A., Chen X., Sive H.. The 16p11.2 homologs fam57ba and doc2a generate certain brain and body phenotypes. Hum. Mol. Genet. 2017; 26:3699–3712. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45. Madelaine R., Sloan S.A., Huber N., Notwell J.H., Leung L.C., Skariah G., Halluin C., Pasca S.P., Bejerano G., Krasnow M.A.et al.. MicroRNA-9 couples brain neurogenesis and angiogenesis. Cell Rep. 2017; 20:1533–1542. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46. Aylon Y., Oren M.. Living with p53, dying of p53. Cell. 2007; 130:597–600. [DOI] [PubMed] [Google Scholar]
- 47. Vousden K.H. p53: death star. Cell. 2000; 103:691–694. [DOI] [PubMed] [Google Scholar]
- 48. Locker M., Agathocleous M., Amato M.A., Parain K., Harris W.A., Perron M.. Hedgehog signaling and the retina: insights into the mechanisms controlling the proliferative properties of neural precursors. Genes Dev. 2006; 20:3036–3048. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49. Kleinschmidt M.A., Wagner T.U., Liedtke D., Spahr S., Samans B., Gaubatz S.. lin9 is required for mitosis and cell survival during early zebrafish development. J. Biol. Chem. 2009; 284:13119–13127. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50. Uribe R.A., Gross J.M.. Id2a influences neuron and glia formation in the zebrafish retina by modulating retinoblast cell cycle kinetics. Development. 2010; 137:3763–3774. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51. Hayashi M.T., Cesare A.J., Fitzpatrick J.A., Lazzerini-Denchi E., Karlseder J.. A telomere-dependent DNA damage checkpoint induced by prolonged mitotic arrest. Nat. Struct. Mol. Biol. 2012; 19:387–394. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52. Xu Q., Wang F., Xiang Y., Zhang X., Zhao Z.A., Gao Z., Liu W., Lu X., Liu Y., Yu X.J.et al.. Maternal BCAS2 protects genomic integrity in mouse early embryonic development. Development. 2015; 142:3943–3953. [DOI] [PubMed] [Google Scholar]
- 53. Zhang X., Trepanier V., Beaujois R., Viranaicken W., Drobetsky E., DesGroseillers L.. The downregulation of the RNA-binding protein Staufen2 in response to DNA damage promotes apoptosis. Nucleic Acids Res. 2016; 44:3695–3712. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54. Rajesh C., Baker D.K., Pierce A.J., Pittman D.L.. The splicing-factor related protein SFPQ/PSF interacts with RAD51D and is necessary for homology-directed repair and sister chromatid cohesion. Nucleic Acids Res. 2011; 39:132–145. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55. Olive P.L., Banath J.P.. The comet assay: a method to measure DNA damage in individual cells. Nat. Protoc. 2006; 1:23–29. [DOI] [PubMed] [Google Scholar]
- 56. Shepard P.J., Choi E.A., Busch A., Hertel K.J.. Efficient internal exon recognition depends on near equal contributions from the 3' and 5' splice sites. Nucleic Acids Res. 2011; 39:8928–8937. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57. Maslon M.M., Heras S.R., Bellora N., Eyras E., Caceres J.F.. The translational landscape of the splicing factor SRSF1 and its role in mitosis. eLife. 2014; 3:e02028. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58. Goshima G., Wollman R., Goodwin S.S., Zhang N., Scholey J.M., Vale R.D., Stuurman N.. Genes required for mitotic spindle assembly in Drosophila S2 cells. Science. 2007; 316:417–421. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59. Pedersen RS., Karemore G., Gudjonsson T., Rask M.B., Neumann B., Heriche J.K., Pepperkok R., Ellenberg J., Gerlich D.W., Lukas J.et al.. Profiling DNA damage response following mitotic perturbations. Nat. Commun. 2016; 7:13887. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60. Paulsen R.D., Soni D.V., Wollman R., Hahn A.T., Yee M.C., Guan A., Hesley J.A., Miller S.C., Cromwell E.F., Solow-Cordero D.E.et al.. A genome-wide siRNA screen reveals diverse cellular processes and pathways that mediate genome stability. Mol. Cell. 2009; 35:228–239. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61. Yuan L., Kawada M., Havlioglu N., Tang H., Wu J.Y.. Mutations in PRPF31 inhibit pre-mRNA splicing of rhodopsin gene and cause apoptosis of retinal cells. J. Neurosci. 2005; 25:748–757. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62. Wheway G., Douglas A., Baralle D., Guillot E.. Mutation spectrum of PRPF31, genotype-phenotype correlation in retinitis pigmentosa, and opportunities for therapy. Exp. Eye Res. 2020; 192:107950. [DOI] [PMC free article] [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
RNA-seq data in this study have been uploaded to GEO under accession number GSE151273.
All code used for bioinformatics analysis in this study was stored in GitHub, https://github.com/ytzhaobioinfo/prpf31.
UCSC tracks, http://genome.ucsc.edu/s/yuntong1994/Prpf31.