Splicing predictions reliably classify different types of alternative splicing.
Ontology highlight
ABSTRACT:
SUBMITTER: Busch A
PROVIDER: S-EPMC4408789 | biostudies-literature |
REPOSITORIES: biostudies-literature
Similar Datasets
Project description:MUC1 is a transmembrane mucin with important functions in normal and transformed cells, carried out by the extracellular domain or the cytoplasmic tail. A characteristic feature of the MUC1 extracellular domain is the variable number of tandem repeats (VNTR) region. Alternative splicing may regulate MUC1 expression and possibly function. We developed an RT-PCR method for efficient isolation of MUC1 mRNA isoforms that allowed us to evaluate the extent of alternative splicing of MUC1 and elucidate some of the rules that govern this process. We cloned and analyzed 21, 24, and 36 isoforms from human tumor cell lines HeLa, MCF7, and Jurkat, respectively, and 16 from normal activated human T cells. Among the 78 MUC1 isoforms we isolated, 76 are new and different cells showed varied MUC1 expression patterns. The VNTR region of exon 2 was recognized as an intron with a fixed 5' splice site but variable 3' splice sites. We also report that the 3506 A/G SNP in exon 2 can regulate 3' splice sites selection in intron 1 and produce different MUC1 short isoform proteins. Furthermore, the SNP A to G mutation was also observed in vivo, during de novo tumor formation in MUC1(+/-)Kras(G12D/+)Pten(loxP/loxP) mice. No specific functions have been associated with previously reported short isoforms. We now report that one new G SNP-associated isoform MUC1/Y-LSP, but not the A SNP-associated isoform MUC1/Y, inhibits tumor growth in immunocompetent but not immunocompromised mice.
| S-EPMC3538090 | biostudies-literature
Project description:BackgroundDespite numerous molecular and computational advances, roughly half of patients with a rare disease remain undiagnosed after exome or genome sequencing. A particularly challenging barrier to diagnosis is identifying variants that cause deleterious alternative splicing at intronic or exonic loci outside of canonical donor or acceptor splice sites.ResultsSeveral existing tools predict the likelihood that a genetic variant causes alternative splicing. We sought to extend such methods by developing a new metric that aids in discerning whether a genetic variant leads to deleterious alternative splicing. Our metric combines genetic variation in the Genome Aggregate Database with alternative splicing predictions from SpliceAI to compare observed and expected levels of splice-altering genetic variation. We infer genic regions with significantly less splice-altering variation than expected to be constrained. The resulting model of regional splicing constraint captures differential splicing constraint across gene and exon categories, and the most constrained genic regions are enriched for pathogenic splice-altering variants. Building from this model, we developed ConSpliceML. This ensemble machine learning approach combines regional splicing constraint with multiple per-nucleotide alternative splicing scores to guide the prediction of deleterious splicing variants in protein-coding genes. ConSpliceML more accurately distinguishes deleterious and benign splicing variants than state-of-the-art splicing prediction methods, especially in "cryptic" splicing regions beyond canonical donor or acceptor splice sites.ConclusionIntegrating a model of genetic constraint with annotations from existing alternative splicing tools allows ConSpliceML to prioritize potentially deleterious splice-altering variants in studies of rare human diseases.
| S-EPMC9664736 | biostudies-literature
Project description:Alternative splicing increases transcriptome and proteome diversification. Previous analyses aiming at comparing the rate of alternative splicing between different organisms provided contradicting results. These contradicting results were attributed to the fact that both analyses were dependent on the expressed sequence tag (EST) coverage, which varies greatly between the tested organisms. In this study we compare the level of alternative splicing among eight different organisms. By employing an EST independent approach we reveal that the percentage of genes and exons undergoing alternative splicing is higher in vertebrates compared with invertebrates. We also find that alternative exons of the skipping type are flanked by longer introns compared to constitutive ones, whereas alternative 5' and 3' splice sites events are generally not. In addition, although the regulation of alternative splicing and sizes of introns and exons have changed during metazoan evolution, intron retention remained the rarest type of alternative splicing, whereas exon skipping is more prevalent and exhibits a slight increase, from invertebrates to vertebrates. The difference in the level of alternative splicing suggests that alternative splicing may contribute greatly to the mammal higher level of phenotypic complexity, and that accumulation of introns confers an evolutionary advantage as it allows increasing the number of alternative splicing forms.
| S-EPMC1802581 | biostudies-literature
Project description:Differential splice site pairing establishes alternative splicing patterns resulting in the generation of multiple mRNA isoforms. This process is carried out by the spliceosome, which is activated by a series of sequential structural rearrangements of its five core snRNPs. To determine when splice sites become functionally paired, we carried out a series of kinetic trap experiments using pre-mRNAs that undergo alternative 5' splice site selection or alternative exon inclusion. We show that commitment to splice site pairing in both cases occurs in the A complex, which is characterized by the ATP-dependent association of the U2 snRNP with the branch point. Interestingly, the timing of splice site pairing is independent of the intron or exon definition modes of splice site recognition. Using the ATP analog ATPgammaS, we showed that ATP hydrolysis is required for splice site pairing independent from U2 snRNP binding to the pre-mRNA. These results identify the A complex as the spliceosomal assembly step dedicated to splice site pairing and suggest that ATP hydrolysis locks splice sites into a splicing pattern after stable U2 snRNP association to the branch point.
| S-EPMC2643811 | biostudies-literature
Project description:BACKGROUND:The human OCT4 gene, responsible for pluripotency and self-renewal of Embryonic Stem (ES) and Embryonic Carcinoma (EC) cells, can generate several transcripts (OCT4A, OCT4B-variant 2, OCT4B-variant 3, OCT4B-variant 5, OCT4B1, OCT4 B2 and OCT4B3) by alternative splicing and alternative promoters. OCT4A that is responsible for ES and EC cell stemness properties is transcribed from a promoter upstream of Exon1a in those cells. The OCT4B group variants (OCT4B-variant2, OCT4B-variant3, OCT4B-variant5, OCT4B1, OCT4B2 and OCT4B3) are transcribed from a different promoter located in intron 1 and some of them respond to the cell stresses, but cannot sustain the ES/EC cell self-renewal. However, the exact function of OCT4B group variants is still unclear. METHODS:In the present study, we employed RT-PCR and sequencing approaches to explore different forms of OCT4 transcripts. RESULTS:Our data revealed that the OCT4B group variants (OCT4B-variant2, OCT4 B-variant3, OCT4B1, OCT4B2 and OCT4B3) have longer 5' UTR in the human bladder carcinoma cell line of 5637. CONCLUSION:These OCT4 variants undergo alternative splicing in their 5' UTR which might exert regulatory roles in transcription and translation mechanisms.
| S-EPMC5650738 | biostudies-literature
Project description:Cell-type and tissue-specific alternative splicing events are regulated by combinatorial control involving both abundant RNA binding proteins as well as those with more discrete expression and specialized functions. Epithelial Splicing Regulatory Proteins 1 and 2 (ESRP1 and ESRP2) are recently discovered epithelial-specific RNA binding proteins that promote splicing of the epithelial variant of the FGFR2, ENAH, CD44 and CTNND1 transcripts. To catalogue a larger set of splicing events under the regulation of the ESRPs we profiled splicing changes induced by RNA interference-mediated knockdown of ES RP1 and ES RP2 expression in a human epithelial cell line using the splicing sensitive Affymetrix Exon ST1.0 Arrays. Analysis of the microarray data resulted in the identification of over a hundred candidate ESRP regulated splicing events. We were able to independently validate 38 of these targets by RT-PCR. The ESRP regulated events encompass all known types of alternative splicing events, most prominent being alternative cassette exons and splicing events leading to alternative 3' terminal exons. Importantly, a number of these regulated splicing events occur in gene transcripts that encode proteins with well-described roles in the regulation of actin cytoskeleton organization, cell-cell adhesion, cell polarity and cell migration. In sum, this work reveals a novel list of transcripts differentially spliced in epithelial and mesenchymal cells, implying that coordinated alternative splicing plays a critical role in determination of cell type identity. These results further establish ESRP1 and ESRP2 as global regulators of an epithelial splicing regulatory network.
| S-EPMC2823379 | biostudies-literature
Project description:Intrinsically disordered regions have been associated with various cellular processes and are implicated in several human diseases, but their exact roles remain unclear. We previously defined two classes of conserved disordered regions in budding yeast, referred to as "flexible" and "constrained" conserved disorder. In flexible disorder, the property of disorder has been positionally conserved during evolution, whereas in constrained disorder, both the amino acid sequence and the property of disorder have been conserved. Here, we show that flexible and constrained disorder are widespread in the human proteome, and are particularly common in proteins with regulatory functions. Both classes of disordered sequences are highly enriched in regions of proteins that undergo tissue-specific (TS) alternative splicing (AS), but not in regions of proteins that undergo general (i.e., not tissue-regulated) AS. Flexible disorder is more highly enriched in TS alternative exons, whereas constrained disorder is more highly enriched in exons that flank TS alternative exons. These latter regions are also significantly more enriched in potential phosphosites and other short linear motifs associated with cell signaling. We further show that cancer driver mutations are significantly enriched in regions of proteins associated with TS and general AS. Collectively, our results point to distinct roles for TS alternative exons and flanking exons in the dynamic regulation of protein interaction networks in response to signaling activity, and they further suggest that alternatively spliced regions of proteins are often functionally altered by mutations responsible for cancer.
| S-EPMC3635989 | biostudies-literature
Project description:The complex dynamics of gene regulation in plants are still far from being fully understood. Among many factors involved, alternative splicing (AS) in particular is one of the least well documented. For many years, AS has been considered of less relevant in plants, especially when compared to animals, however, since the introduction of next generation sequencing techniques the number of plant genes believed to be alternatively spliced has increased exponentially.Here, we performed a comprehensive high-throughput transcript sequencing of ten different grapevine cultivars, which resulted in the first high coverage atlas of the grape berry transcriptome. We also developed findAS, a software tool for the analysis of alternatively spliced junctions. We demonstrate that at least 44% of multi-exonic genes undergo AS and a large number of low abundance splice variants is present within the 131.622 splice junctions we have annotated from Pinot noir.Our analysis shows that ~70% of AS events have relatively low expression levels, furthermore alternative splice sites seem to be enriched near the constitutive ones in some extent showing the noise of the splicing mechanisms. However, AS seems to be extensively conserved among the 10 cultivars.
| S-EPMC4574008 | biostudies-literature
Project description:BackgroundComparative methods have been the standard techniques for in silico protein structure prediction. The prediction is based on a multiple alignment that contains both reference sequences with known structures and the sequence whose unknown structure is predicted. Intensive research has been made to improve the quality of multiple alignments, since misaligned parts of the multiple alignment yield misleading predictions. However, sometimes all methods fail to predict the correct alignment, because the evolutionary signal is too weak to find the homologous parts due to the large number of mutations that separate the sequences.ResultsStochastic sequence alignment methods define a posterior distribution of possible multiple alignments. They can highlight the most likely alignment, and above that, they can give posterior probabilities for each alignment column. We made a comprehensive study on the HOMSTRAD database of structural alignments, predicting secondary structures in four different ways. We showed that alignment posterior probabilities correlate with the reliability of secondary structure predictions, though the strength of the correlation is different for different protocols. The correspondence between the reliability of secondary structure predictions and alignment posterior probabilities is the closest to the identity function when the secondary structure posterior probabilities are calculated from the posterior distribution of multiple alignments. The largest deviation from the identity function has been obtained in the case of predicting secondary structures from a single optimal pairwise alignment. We also showed that alignment posterior probabilities correlate with the 3D distances between C alpha amino acids in superimposed tertiary structures.ConclusionAlignment posterior probabilities can be used to a priori detect errors in comparative models on the sequence alignment level.
| S-EPMC2324098 | biostudies-literature
Project description:BackgroundIt is estimated that up to 50% of all disease causing variants disrupt splicing. Due to its complexity, our ability to predict which variants disrupt splicing is limited, meaning missed diagnoses for patients. The emergence of machine learning for targeted medicine holds great potential to improve prediction of splice disrupting variants. The recently published SpliceAI algorithm utilises deep neural networks and has been reported to have a greater accuracy than other commonly used methods.Methods and findingsThe original SpliceAI was trained on splice sites included in primary isoforms combined with novel junctions observed in GTEx data, which might introduce noise and de-correlate the machine learning input with its output. Limiting the data to only validated and manual annotated primary and alternatively spliced GENCODE sites in training may improve predictive abilities. All of these gene isoforms were collapsed (aggregated into one pseudo-isoform) and the SpliceAI architecture was retrained (CI-SpliceAI). Predictive performance on a newly curated dataset of 1,316 functionally validated variants from the literature was compared with the original SpliceAI, alongside MMSplice, MaxEntScan, and SQUIRLS. Both SpliceAI algorithms outperformed the other methods, with the original SpliceAI achieving an accuracy of ∼91%, and CI-SpliceAI showing an improvement at ∼92% overall. Predictive accuracy increased in the majority of curated variants.ConclusionsWe show that including only manually annotated alternatively spliced sites in training data improves prediction of clinically relevant variants, and highlight avenues for further performance improvements.
| S-EPMC9165884 | biostudies-literature