Splicing Events Research Articles

Deep learning analyses of splicing variants identify the link of PCP4 with amyotrophic lateral sclerosis.

Amyotrophic lateral sclerosis (ALS) is a severe motor neuron disease, with most sporadic cases lacking clear genetic causes. Abnormal pre-mRNA splicing is a fundamental mechanism in neurodegenerative diseases. For example, TAR DNA-binding protein 43 (TDP-43) loss-of-function (LOF) causes widespread RNA mis-splicing events in ALS. Additionally, splicing mutations are major contributors to neurological disorders. However, the role of intronic variants driving RNA mis-splicing in ALS remains poorly understood. To address this, we developed Spliformer to predict RNA splicing. Spliformer is a transformer-based deep learning model trained and tested on splicing events from the GENCODE database, as well as RNA-seq data from blood and central nervous system tissues. We benchmarked Spliformer against SpliceAI and Pangolin using testing datasets and paired whole-genome sequencing (WGS) with RNA-seq data. We further developed the Spliformer-motif model to identify splicing regulatory motifs. We analyzed Clinvar dataset to identify the link of splicing variants with disease pathogenicity. Additionally, we analyzed WGS data of ALS patients and controls to identify common intronic splicing variants linked to ALS risk or disease phenotypes. We also profiled rare intronic splicing variants in ALS patients to identify known or novel ALS-associated genes. Minigene assays were employed to validate candidate splicing variants. Finally, we measured spine density in neurons with a specific gene knockdown or those expressing a TDP-43 disease-causing mutant. Spliformer accurately predicts the possibilities of a nucleotide within a pre-mRNA sequence being a splice donor, acceptor, or neither. Spliformer outperformed SpliceAI and Pangolin in both speed and accuracy in tested splicing events and/or paired WGS/RNA-seq data. Spliformer-motif successfully identified canonical and novel splicing regulatory motifs. In Clinvar dataset, splicing variants are highly related to disease pathogenicity. Genome-wide analyses of common intronic splicing variants nominated one variant linked to ALS progression. Deep learning analyses of WGS data from 1,370 ALS patients revealed rare splicing variants in reported ALS genes (such as PTPRN2 and CFAP410, validated through minigene assays and RNA-seq), and TDP-43 LOF related RNA mis-splicing genes (such as PTPRD). Further genetic analysis and minigene assays nominated PCP4 and TMEM63A as ALS-associated genes. Functional assays demonstrated that PCP4 is critical for maintaining spine density and can rescue spine loss in neurons expressing a disease-causing TDP-43 mutant. In summary, we developed Spliformer and Spliformer-motif that accurately predict and interpret pre-mRNA splicing. Our findings highlight an intronic genetic mechanism driving RNA mis-splicing in ALS and nominate PCP4 as an ALS-associated gene.

Alternative Splicing Events and Differently Expressed Genes During Peak Mortality in Large Yellow Croaker (Larimichthys crocea) Infected with Scuticociliate.

Large yellow croaker (Larimichthys crocea) is facing various threats from bacterial, viral, and parasitic diseases, especially scuticociliate. Scuticociliate is a facultative parasite causing high mortality in various marine fishes. In this study, an artificial scuticociliate infection model was successfully established for large yellow croaker. Comparative transcriptome analysis was performed on gill tissues collected from control fish and fish at the peak of mortality following exposure to the parasite to investigate the underlying molecular mechanisms of host-parasite interactions. A total of 400, 427, and 311 differential alternative splicing (DAS) events were identified at 7 d/0h, 8 d/0h, and 9 d/0h, respectively. Meanwhile, 761 differentially expressed genes (DEGs) were found, with 154 simultaneously at three time points. GO and KEGG enrichment analysis showed that DAS genes and DEGs were mainly focused on self-respire, immune, and metabolic-related pathways. The DEGs related to blood coagulation included fga, fgb, fgg, and lectin domain genes. Lectin domain genes were also involved in reducing parasite burden. Cytokines, Caspase-1, trim13, trim16, and trim39 co-participated in immune response. Notably, the complement component gene c3 was both a DEG and underwent DAS. Using STRING software, interaction regulatory networks were constructed to visualize potential hub genes, revealing 22 DEGs shared across at least two time points. These findings provide valuable insights into the immune and metabolic responses of large yellow croaker to scuticociliate infection, offering a foundational reference for identifying resistant genes and understanding fish-parasite interactions.

MCTASmRNA: A deep learning framework for alternative splicing events classification.

Alternative Splicing (AS) plays crucial post-transcriptional gene function regulation roles in eukaryotic. Despite progress in studying AS at the RNA level, existing methods for AS event identification face challenges such as inefficiency, lengthy processing times, and limitations in capturing the complexity of RNA sequences. To overcome these challenges, we evaluated 10 AS detection tools and selected rMATS for dataset construction. We then developed a multi-scale convolutional and Transformer-based model (MCTASmRNA) to classify AS events in mRNA sequences without relying on a reference genome. To handle the problem of large intra-class and small inter-class difference in AS event sequences, we incorporated an efficient channel attention mechanism and designed a new joint loss function to optimize MCTASmRNA training. MCTASmRNA outperformed baseline models, with an accuracy improvement and exhibited enhanced cross-species generalizability. This model provides valuable support for AS research across different organisms. Future work will focus on optimizing and expanding the model to further explore the complex mechanisms underlying AS.

Exploring gene expression, alternative splicing events and RNA-binding proteins changes in PBMC from patients with hyperuricemia.

The objective of this study was to examine the transcriptomic profile changes in hyperuricemia (HUA) and to investigate the pathogenic mechanisms and biomarkers of HUA from a transcriptomic perspective. In this study, three patients with HUA were randomly selected and matched with three healthy controls. Six participants provided peripheral blood mononuclear cells (PBMCs) for analysis. RNA sequencing (RNA-seq) was used to identify differentially expressed genes (DEGs) and alternative splicing events (ASEs). Gene Ontology (GO) biological processes and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were performed to identify the functions and pathways of the DEGs and ASEs. Additionally, a co-expression network was constructed to analyze the regulation of DEGs and ASEs by RNA-binding protein (RBP) genes. In addition, important DEGs and ASEs were validated using quantitative real-time PCR (qPCR). There were 633 DEGs identified, 348 up-regulated DEGs and 285 down-regulated DEGs, including RGS18, CAVIN2, GZMH, GNLY and MT-TV, which were mainly enriched in inflammatory and immune-related biological processes. A total of 1542 ASEs were significantly differentially expressed in HUA, of which LTB4R and ENTPD4 were closely associated with the development of HUA. In addition, 15 RBP genes were detected to be differentially expressed in HUA. Three RBP genes (IFIT1, IFFIT2, and IFIT3) were highly associated with immunoinflammation and affected HUA by modulating downstream immune responses, inflammatory response-associated DEGs, and ASEs. The selected five DEGs and two ASEs were verified by qPCR, which was consistent with the results of RNA sequencing. In summary, the findings indicate that HUA is associated with significant changes in inflammatory and immune response-related genes (RGS18, CAVIN2, GZMH, GNLY, MT-TV, LTB4R, ENTPD4, IFIT1, IFFIT2, and IFIT3). These findings suggest potential biomarkers and therapeutic targets.

SNORA37/CMTR1/ELAVL1 feedback loop drives gastric cancer progression via facilitating CD44 alternative splicing

BackgroundEmerging evidence shows that small nucleolar RNA (snoRNA), a type of highly conserved non-coding RNA, is involved in tumorigenesis and aggressiveness. However, the roles of snoRNAs in regulating alternative splicing crucial for cancer progression remain elusive.MethodsHigh-throughput RNA sequencing and comprehensive analysis were performed to identify crucial snoRNAs and downstream alternative splicing events. Biotin-labeled RNA pull-down, mass spectrometry, cross-linking RNA immunoprecipitation, and in vitro binding assays were applied to explore interaction of snoRNAs with protein partners. Alternative splicing and gene expression was observed by real-time quantitative RT-PCR and western blot assays. In vitro and in vivo studies were performed to investigate biological effects of snoRNAs and their protein partners in gastric cancer. Survival analysis was undertaken by using Kaplan-Meier method and log-rank test.ResultsSNORA37 was identified as an up-regulated snoRNA essential for tumorigenesis and aggressiveness of gastric cancer. Gain- and loss-of-function studies indicated that SNORA37 promoted the growth, invasion, and metastasis of gastric cancer cells in vitro and in vivo. Mechanistically, as an ELAV like RNA binding protein 1 (ELAVL1)-generated snoRNA, SNORA37 directly bound to cap methyltransferase 1 (CMTR1) to facilitate its interaction with ELAVL1, resulting in nuclear retention and activity of ELAVL1 in regulating alternative splicing of CD44. Rescue studies revealed that SNORA37 exerted oncogenic roles in gastric cancer progression via facilitating CMTR1-ELAVL1 interaction. In clinical gastric cancer cases, high levels of SNORA37, CMTR1, ELAVL1, or CD44 were associated with shorter survival and poor outcomes of patients.ConclusionsThese results indicated that SNORA37/CMTR1/ELAVL1 feedback loop drives gastric cancer progression via facilitating CD44 alternative splicing.

Alternative Splicing: Emerging Roles in Anti-Aging Strategies.

Alternative splicing plays a fundamental role in gene expression and protein complexity. Aberrant splicing impairs cell homeostasis and is closely associated with aging and cellular senescence. Significant changes to alternative splicing, including dysregulated splicing events and the abnormal expression of splicing factors, have been detected during the aging process or in age-related disorders. Here, we highlight the possibility of suppressing aging and cellular senescence by controlling alternative splicing. In this review, we will summarize the latest research progress on alternative splicing in aging and cellular senescence, discuss the roles and regulatory mechanisms of alternative splicing during aging, and then excavate existing and potential approaches to anti-aging by controlling alternative splicing. Novel therapeutic breakthroughs concerning aging and senescence entail a further understanding of regulating alternative splicing mechanically and accurately.

Changes in RNA Splicing: A New Paradigm of Transcriptional Responses to Probiotic Action in the Mammalian Brain.

Elucidating the gene regulatory mechanisms underlying the gut-brain axis is critical for uncovering novel gut-brain interaction pathways and developing therapeutic strategies for gut bacteria-associated neurological disorders. Most studies have primarily investigated how gut bacteria modulate host epigenetics and gene expression; their impact on host alternative splicing, particularly in the brain, remains largely unexplored. Here, we investigated the effects of the gut-associated probiotic Lacidofil® on alternative splicing across 10 regions of the rat brain using published RNA-sequencing data. The Lacidofil® altogether altered 2941 differential splicing events, predominantly, skipped exon (SE) and mutually exclusive exon (MXE) events. Protein-protein interactions and a KEGG analysis of differentially spliced genes (DSGs) revealed consistent enrichment in the spliceosome and vesicle transport complexes, as well as in pathways related to neurodegenerative diseases, synaptic function and plasticity, and substance addiction across brain regions. Using the PsyGeNET platform, we found that DSGs from the locus coeruleus (LConly), medial preoptic area (mPOA), and ventral dentate gyrus (venDG) were enriched in depression-associated or schizophrenia-associated genes. Notably, we highlight the App gene, where Lacidofil® precisely regulated the splicing of two exons causally involved in amyloid β protein-based neurodegenerative diseases. Although the splicing factors exhibited both splicing plasticity and expression plasticity in response to Lacidofil®, the overlap between DSGs and differentially expressed genes (DEGs) in most brain regions was rather low. Our study provides novel mechanistic insight into how gut probiotics might influence brain function through the modulation of RNA splicing.

The effect of LARP7 on gene expression during osteogenesis.

La-related protein 7 (LARP7) is a key regulator of RNA metabolism and is thought to play a role in various cellular processes. LARP7 gene autosomal recessive mutations are the cause of Alazami syndrome, which presents with skeletal abnormalities, intellectual disabilities, and facial dysmorphisms. This study aimed to determine the role of LARP7 in modulating gene expression dynamics during osteogenesis. First, the temporal expression profile of the LARP7 gene during various stages of osteogenesis was examined. Then, RNA interference-mediated knockdown of LARP7 was implemented and high-throughput RNA-seq analysis was performed in order to identify global gene expression changes associated with knockdown of LARP7. The findings show there were significant alterations in the overall gene expression profile. The observed down-regulation in extracellular matrix (ECM) component genes suggests that it might lead to impairments in the structure and function of the bone matrix. Additionally, modulation of alternative splicing events were observed, especially in the RUNX2 and SPP1, indicating the potential contribution of LARP7 to the phenotypic features observed in Alazami syndrome. Overall, the findings clarify the regulatory mechanisms of LARP7 in osteogenic differentiation and illuminate potential avenues for therapeutic interventions in patients with skeletal disorders.

Alternative Splicing at the Crossroad of Inflammatory Bowel Diseases and Colitis-Associated Colon Cancer.

The risk of developing colorectal cancer (CRC) is increased in ulcerative colitis patients compared to the general population. This increased risk results from the state of chronic inflammation, a well-known tumour-promoting condition. This review explores the pathologic and molecular characteristics of colitis-associated colon cancer (CAC), emphasizing the distinct features from sporadic CRC. We focus on the key signalling pathways involved in the transition to CAC, highlighting the emerging role of alternative splicing in these processes, namely on how inflammation-induced alternative splicing can significantly contribute to the increased CRC risk observed among UC patients. This review calls for more transcriptomic studies to elucidate the molecular mechanisms through which inflammation-induced alternative splicing drives CAC pathogenesis. A better understanding of these splicing events is crucial as they may reveal novel biomarkers for disease progression and have the potential to target changes in alternative splicing as a therapeutic strategy.

Impact of Larval Sertraline Exposure on Alternative Splicing in Neural Tissue of Adult Drosophila melanogaster.

Sertraline, a selective serotonin reuptake inhibitor (SSRI), is commonly used to treat various psychiatric disorders such as depression and anxiety due to its ability to increase serotonin availability in the brain. Recent findings suggest that sertraline may also influence the expression of genes related to synaptic plasticity and neuronal signaling pathways. Alternative splicing, a process that allows a single gene to produce multiple protein isoforms, plays a crucial role in the regulation of neuronal functions and plasticity. Dysregulation of alternative splicing events has been linked to various neurodevelopmental and neurodegenerative diseases. This study aims to explore the effects of sertraline on alternative splicing events, including exon inclusion, exon exclusion, and mutually exclusive splicing events, in genes associated with neuronal function in Drosophila melanogaster and to use this model to investigate the molecular impacts of SSRIs on gene regulation in the nervous system. RNA sequencing (RNA-seq) was performed on central nervous system samples from Drosophila melanogaster adults exposed to sertraline for 24 h when they were third instar larvae. Alternative splicing events were analyzed to identify changes in exon inclusion and exclusion, as well as intron retention. Sertraline treatment significantly altered alternative splicing patterns in key genes related to neuronal stability and function. Specifically, sertraline promoted the inclusion of long Ank2 isoforms, suggesting enhanced axonal stability, and favored long ATPalpha isoforms, which support Na+/K+ ATPase activity essential for ionic balance and neuronal excitability. Intron retention in the yuri gene suggests that cytoskeletal reorganization could impact neuronal morphology. Additionally, splicing alterations in sxc and Atg18a indicate a potential influence of sertraline on epigenetic regulation and autophagy processes, fundamental aspects for neuronal plasticity and cellular homeostasis. These findings suggest that sertraline influences alternative splicing in the central nervous system of Drosophila melanogaster, potentially contributing to its therapeutic effects by modulating neuronal stability and adaptability.

Global profiling of alternative splicing in non-small cell lung cancer reveals novel histological and population differences.

Lung cancer is one of the most frequently diagnosed cancers in the US. African-American (AA) men are more likely to develop lung cancer with higher incidence and mortality rates than European-American (EA) men. Herein, we report high-confidence alternative splicing (AS) events from high-throughput, high-depth total RNA sequencing of lung tumors and non-tumor adjacent tissues (NATs) in two independent cohorts of patients with adenocarcinoma (LUAD) and squamous cell carcinoma (LUSC). We identified novel AS biomarkers with notable differential percent spliced in (PSI) values between lung tumors and NATs enriched in the AA and EA populations, which were associated with oncogenic signaling pathways. We also uncovered tumor subtype- and population-specific AS events associated with cell surface proteins and cancer driver genes. We highlighted significant AS events in SYNE2 specific to LUAD in both populations, as well as those in CD44 from EAs and TMBIM6 from AAs specific to LUAD. Here, we also present the validation of cancer signatures based on direct high-throughput reverse transcription-PCR. Our large survey of lung tumors presents a rich data resource that may help to understand molecular subtypes of lung tumor between AAs and EAs and reveal new therapeutic vulnerabilities that potentially advance health equity.

Alternative splicing of modulatory immune receptors in T lymphocytes: a newly identified and targetable mechanism for anticancer immunotherapy.

Alternative splicing (AS) is a mechanism that generates translational diversity within a genome. Equally important is the dynamic adaptability of the splicing machinery, which can give preference to one isoform over others encoded by a single gene. These isoform preferences change in response to the cell's state and function. Particularly significant is the impact of physiological alternative splicing in T lymphocytes, where specific isoforms can enhance or reduce the cells' reactivity to stimuli. This process makes splicing isoforms defining features of cell states, exemplified by CD45 splice isoforms, which characterize the transition from naïve to memory states. Two developments have accelerated the use of AS dynamics for therapeutic interventions: advancements in long-read RNA sequencing and progress in nucleic acid chemical modifications. Improved oligonucleotide stability has enabled their use in directing splicing to specific sites or modifying sequences to enhance or silence particular splicing events. This review highlights immune regulatory splicing patterns with potential significance for enhancing anticancer immunotherapy.

The Splice Index as a prognostic biomarker of strength and function in myotonic dystrophy type 1.

Myotonic dystrophy type 1 (DM1) is a multisystemic, CTG repeat expansion disorder characterized by a slow, progressive decline in skeletal muscle function. A biomarker correlating RNA mis-splicing, the core pathogenic disease mechanism, and muscle performance is crucial for assessing response to disease-modifying interventions. We evaluated the Myotonic Dystrophy Splice Index (SI), a composite RNA splicing biomarker incorporating 22 disease-specific events, as a potential biomarker of DM1 muscle weakness. Total RNA sequencing of tibialis anterior biopsies from 58 DM1 participants and 33 unaffected/disease controls was used to evaluate RNA splicing events across the disease spectrum. Targeted RNA sequencing was used to derive the SI from biopsies collected at baseline (n = 52) or a 3-month (n = 37) follow-up visit along with clinical measures of muscle performance. The SI demonstrated significant associations with measures of muscle strength and ambulation, including ankle dorsiflexion strength (ADF) and 10-meter run/fast walk (Pearson r = -0.719 and -0.680, respectively). The SI was relatively stable over 3-months (ICC = 0.863). Latent-class analysis identified three DM1 subgroups stratified by baseline SI (SIMild, SIModerate, SISevere); SIModerate individuals had a significant increase in the SI over 3-months. Multiple linear regression modeling revealed that baseline ADF and SI were predictive of strength at 3-months (adjusted R² = 0.830). The SI is a reliable biomarker that captures associations of RNA mis-splicing with physical strength and mobility and has prognostic utility to predict future function, establishing it as a potential biomarker for assessment of therapeutic target engagement. NCT03981575Funding: FDA (7R01FD006071), Myotonic Dystrophy Foundation, Wyck Foundation, Muscular Dystrophy Association, Novartis, Dyne, Avidity, PepGen, Takeda, Sanofi Genzyme, Pfizer, Arthex, and Vertex Pharmaceuticals.

Altered Protein Structures and Neoepitopes in Lupus Neutrophils From Dysregulated Splicing of Messenger RNA.

To test whether messenger RNA (mRNA) splicing is altered in neutrophils from patients with systemic lupus erythematosus (SLE) and can produce neoantigens. RNA sequencing of neutrophils from patients with SLE (n = 15) and healthy donors (n = 12) were analyzed for mRNA splicing using the RiboSplitter pipeline, an event-focused tool based on SplAdder with subsequent translation and protein domain annotation. RNA sequencing from SARS-CoV2-infected individuals was used as an additional comparator. Neutrophils from patients with SLE contained 521 statistically significant altered mRNA splicing events compared with healthy donor neutrophils, many of them affecting important immunologic pathways, myeloid function, transcription factors, and proteins involved in mRNA splicing. A subset of splicing events were only present in SLE samples, and some of them occurred at unannotated splice acceptor or donor sites. Two patients were particularly rich in such events. Only a small number of dysregulated splicing events were more pronounced in patients with active disease or with high type I interferons but were not detected in SARS-CoV2-infected individuals, who also had high type I interferons. Besides causing a range of structural changes, 80 mRNA splice variants exclusive to SLE were predicted to translate into novel amino acid sequences. Peptides derived from these novel amino acid sequences were predicted to bind to the individual patients' class I and II major histocompatibility complex molecules with high affinity. We conclude that aberrant mRNA splicing in SLE has the potential to affect both the function of granulocytes and to generate novel autoantigens.

Comparative study of transcriptomic alterations in sepsis-induced acute liver injury: Deciphering the role of alternative splicing in mouse models.

Sepsis represents a critical health crisis often leading to the failure of multiple organs, with the liver playing a pivotal role in controlling inflammation and defending against systemic infections. The exacerbation of liver damage can escalate sepsis severity, underscoring the necessity to delve into the molecular mechanisms underlying sepsis-induced acute liver injury (ALI). The role of alternative splicing (AS), a complex post-transcriptional mechanism, has been occasionally noted in relation to sepsis across different investigations. This research aimed to provide an extensive analysis of gene expression and alternative splicing variants in sepsis-induced ALI using mouse models, thus broadening the understanding of gene-level modulations during sepsis and pinpointing potential therapeutic targets. We employed mouse models of ALI induced via both cecal ligation and puncture (CLP) and lipopolysaccharides (LPS). An extensive evaluation was conducted to identify variances in gene expression and the occurrence of alternative splicing variants within the liver tissues of mice afflicted with sepsis. The results of our study revealed significant alterations in the regulation of genes associated with RNA splicing and numerous pathways related to inflammation following exposure to CLP and LPS. We identified a total of 170 genes exhibiting both differential expression and splicing variations within the groups subjected to CLP and LPS interventions. Four key genes were specifically identified and validated, emphasizing their potential as treatment targets for ALI in sepsis. Among them, Nop58 was found to play a dual role in inflammation regulation, with intron retention linked to pro-inflammatory responses, while its full-length splicing variant exhibited anti-inflammatory properties. Furthermore, our data highlighted the potential role of specific splicing factors, such as Rbm3, Plrg1, and Snip1, in sepsis-induced liver abnormalities. This study offers a comprehensive insight into the role of AS in sepsis-induced ALI, laying the groundwork for future therapeutic interventions. By demonstrating the functional relevance of specific splicing events, such as those involving Nop58, this work underscores the potential of targeting splicing mechanisms as innovative strategies to mitigate sepsis-induced liver injuries.

Coordinated neuron-specific splicing events restrict nucleosome engagement of the LSD1 histone demethylase complex.

Chromatin regulatory proteins are expressed broadly and assumed to exert the same intrinsic function across cell types. Here, we report that 14 chromatin regulators undergo evolutionary-conserved neuron-specific splicing events involving microexons. Among them are two components of a histone demethylase complex: LSD1 H3K4 demethylase and the H3K4me0-reader PHF21A. We found that neuronal LSD1 splicing reduces the enzymes' affinity to the nucleosome. Meanwhile, neuronal PHF21A splicing significantly attenuates histone H3 binding and further ablates the DNA-binding function exerted by an AT-hook motif. Furthermore, invitro reconstitution of the canonical and neuronal PHF21A-LSD1 complexes, combined with invivo methylation mapping, identified the neuronal complex as a hypomorphic H3K4 demethylating machinery. The neuronal PHF21A, albeit with its weaker nucleosome binding, is necessary for normal gene expression and the H3K4 landscape in the developing brain. Thus, ubiquitously expressed chromatin regulatory complexes can exert neuron-specific functions via alternative splicing of their subunits.

Alternative splicing events driven by altered levels of GEMIN5 undergo translation

ABSTRACT GEMIN5 is a multifunctional protein involved in various aspects of RNA biology, including biogenesis of snRNPs and translation control. Reduced levels of GEMIN5 confer a differential translation to selective groups of mRNAs, and biallelic variants reducing protein stability or inducing structural conformational changes are associated with neurological disorders. Here, we show that upregulation of GEMIN5 can be detrimental as it modifies the steady state of mRNAs and enhances alternative splicing (AS) events of genes involved in a broad range of cellular processes. RNA-Seq identification of the mRNAs associated with polysomes in cells with high levels of GEMIN5 revealed that a significant fraction of the differential AS events undergo translation. The association of mRNAs with polysomes was dependent on the type of AS event, being more frequent in the case of exon skipping. However, there were no major differences in the percentage of genes showing open-reading frame disruption. Importantly, differential AS events in mRNAs engaged in polysomes, eventually rendering non-functional proteins, encode factors controlling cell growth. The broad range of mRNAs comprising AS events engaged in polysomes upon GEMIN5 upregulation supports the notion that this multifunctional protein has evolved as a gene expression balancer, consistent with its dual role as a member of the SMN complex and as a modulator of protein synthesis, ultimately impinging on cell homoeostasis.

Cov-trans: an efficient algorithm for discontinuous transcript assembly in coronaviruses

BackgroundDiscontinuous transcription allows coronaviruses to efficiently replicate and transmit within host cells, enhancing their adaptability and survival. Assembling viral transcripts is crucial for virology research and the development of antiviral strategies. However, traditional transcript assembly methods primarily designed for variable alternative splicing events in eukaryotes are not suitable for the viral transcript assembly problem. The current algorithms designed for assembling viral transcripts often struggle with low accuracy in determining the transcript boundaries. There is an urgent need to develop a highly accurate viral transcript assembly algorithm.ResultsIn this work, we propose Cov-trans, a reference-based transcript assembler specifically tailored for the discontinuous transcription of coronaviruses. Cov-trans first identifies canonical transcripts based on discontinuous transcription mechanisms, start and stop codons, as well as reads alignment information. Subsequently, it formulates the assembly of non-canonical transcripts as a path extraction problem, and introduces a mixed integer linear programming to recover these non-canonical transcripts.ConclusionExperimental results show that Cov-trans outperforms other assemblers in both accuracy and recall, with a notable strength in accurately identifying the boundaries of transcripts. Cov-trans is freely available at https://github.com/computer-Bioinfo/Cov-trans.git.

Machine learning-optimized targeted detection of alternative splicing.

RNA sequencing (RNA-seq) is widely adopted for transcriptome analysis but has inherent biases that hinder the comprehensive detection and quantification of alternative splicing. To address this, we present an efficient targeted RNA-seq method that greatly enriches for splicing-informative junction-spanning reads. Local splicing variation sequencing (LSV-seq) utilizes multiplexed reverse transcription from highly scalable pools of primers anchored near splicing events of interest. Primers are designed using Optimal Prime, a novel machine learning algorithm trained on the performance of thousands of primer sequences. In experimental benchmarks, LSV-seq achieves high on-target capture rates and concordance with RNA-seq, while requiring significantly lower sequencing depth. Leveraging deep learning splicing code predictions, we used LSV-seq to target events with low coverage in GTExRNA-seq data and newly discover hundreds of tissue-specific splicing events. Our results demonstrate the ability of LSV-seq to quantify splicing of events of interest at high-throughput and with exceptional sensitivity.

CPSF4-mediated regulation of alternative splicing of HMG20B facilitates the progression of triple-negative breast cancer

BackgroundAberrant alternative splicing (AS) contributes to tumor progression. A crucial component of AS is cleavage and polyadenylation specificity factor 4 (CPSF4). It remains unclear whether CPSF4 plays a role in triple-negative breast cancer (TNBC) progression through AS regulation. In this study, our objective is to investigate the prognostic value of CPSF4 and pinpoint pivotal AS events governed by CPSF4 specifically in TNBC.MethodsWe examined the expression levels and prognostic implications of CPSF4 in patients diagnosed with TNBC through public databases. CPSF4-interacting transcripts, global transcriptome, and alternative splicing were captured through RNA immunoprecipitation sequencing (RIP-seq) and RNA sequencing (RNA-seq). The top 10 CPSF4-regulated alternative splicing events (ASEs) were validated using qRT-PCR. TNBC cells transfected with high mobility group 20B (HMG20B) siRNA were subjected to CCK-8 and transwell assays.ResultsIn TNBC, CPSF4 exhibited heightened expression levels and was correlated with unfavorable prognosis. Overexpression of CPSF4 significantly promoted colony formation and migration, whereas knockdown of CPSF4 had the opposite effect. Inhibition of CPSF4 altered the transcriptome profile of MDA-MB-231 cells. CPSF4-regulated numerous genes showed enrichment in cancer-related functional pathways, including mRNA processing, cell cycle, RNA transport, mRNA surveillance pathway, and apoptosis. CPSF4-regulated ASEs were highly validated by qRT-PCR. CPSF4 modulated selective splicing events by inhibiting alternative 3′ splice site events of HMG20B and promoted cell proliferation, migration, and invasion.ConclusionCPSF4 promotes TNBC progression by regulating AS of HMG20B. These findings contribute to the development of more useful prognostic, diagnostic and potentially therapeutic biomarkers for TNBC.