scholarly journals Systematic profiling of alternative splicing events and splicing factors in left- and right-sided colon cancer

Aging ◽  
2019 ◽  
Vol 11 (19) ◽  
pp. 8270-8293 ◽  
Author(s):  
Xiaoliang Huang ◽  
Jungang Liu ◽  
Xianwei Mo ◽  
Haizhou Liu ◽  
Chunyin Wei ◽  
...  
RNA Biology ◽  
2009 ◽  
Vol 6 (5) ◽  
pp. 546-562 ◽  
Author(s):  
Claude C. Warzecha ◽  
Shihao Shen ◽  
Yi Xing ◽  
Russ P. Carstens

2021 ◽  
Author(s):  
Heon Seok Kim ◽  
Susan M Grimes ◽  
Anna C Hooker ◽  
Billy T Lau ◽  
Hanlee P Ji

Transcript isoforms are mRNAs that arise from alternative splicing events. During RNA processing, different combinations of a gene's exons lead to a diverse set of isoforms. Polymorphisms or mutations at splice junctions can generate alternative splicing events. Various splicing factors also impact the representation of a gene's transcript isoforms. To assess how these two features contribute to alternative splicing, we developed a single cell approach to introduce CRISPR edits that modify mRNA transcript structure. Our method combines (1) long-read sequencing to characterize the expressed transcripts and identify the edit at single cell resolution; (2) short-read sequencing to match the single cell gene expression profiles of the cells with the altered isoform. First, we modify target exon-intron segments with CRISPR-Cas9. Second, using cDNAs with cell barcodes, we use long read sequencing to directly identify the changes in transcript isoforms from the targeted CRISPR edits. As a variation on this approach, we also determined how modifying specific splicing factors influence isoform expression and structure. Overall, we demonstrate how the integration of single cell long read analysis and CRISPR engineering can be used to directly confirm transcript isoform and target genomic edits at single cell resolution. This approach will improve our understanding of the role of alternative splicing in transcriptional regulation.


2019 ◽  
Vol 2019 ◽  
pp. 1-10 ◽  
Author(s):  
Caixia Wang ◽  
Mingjun Zheng ◽  
Shuang Wang ◽  
Xin Nie ◽  
Qian Guo ◽  
...  

Objectives. A growing body of evidence has shown that aberrant alternative splicing (AS) is closely related to the occurrence and development of cancer. However, prior studies mainly have concentrated on a few genes that exhibit aberrant AS. This study aimed to determine AS events through whole genome analysis and construct a prognostic model of endometrial cancer (EC). Methods. We downloaded gene expression RNAseq data from UCSC Xena, and seven types of AS events from TCGA SpliceSeq. Univariate Cox regression was employed to analyze the prognostic-related alternative splicing events (PASEs) and splicing factors; multivariate Cox regression was conducted to analyze the effect of risk score (All) and clinicopathological parameters on EC prognosis. An underlying interaction network of PASEs of EC was constructed by Cytoscape Reactome FI, GO, and KEGG pathway enrichment was performed by DAVID. ROC curves and Kaplan-Meir analysis were used to assess the diagnostic value of prognostic model. The correlation between PASEs and splicing factors was analyzed by GraphPad Prism; then a network was constructed using Cytoscape. Results. In total, 28,281 AS events in EC were identified, which consisted of 1166 PASEs. RNPS1, NEK2, and CTNNB1 were the hub genes in the network of the top 600 PASEs. The area under the curve (AUC) of risk score (All) reached 0.819. Risk score (All) together with FIGO stage, cancer status, and primary therapy outcome success was risk factors of the prognosis of EC patients. Splicing factors YBX1, HNRNPDL, and HNRNPA1 were significantly related to the overall survival (OS). The splicing network indicated that the expression of splicing factors was significantly correlated with percent-splice-in (PSI) value of PASEs. Conclusion. We constructed a model for predicting the prognosis of EC patients based on PASEs using whole genome analysis of AS events and thereby provided a reliable theoretical basis for EC clinical prognosis evaluation.


2018 ◽  
Vol 48 (3) ◽  
pp. 1355-1368 ◽  
Author(s):  
Rong-quan He ◽  
Xian-guo Zhou ◽  
Qiao-yong Yi ◽  
Cai-wang Deng ◽  
Jia-min Gao ◽  
...  

Background/Aims: Increasing evidences indicated the important roles of alternative splicing in the progression and prognosis of bladder urothelial carcinoma (BLCA). However, most previous research has focused on one or several alternative splicing events, without a comprehensive evaluation of the prognostic value of splicing events in BLCA. In this study, we aimed to determine risk scores for predicting prognosis of BLCA patients based on splicing events. Methods: RNA-sequencing data and clinical information of BLCA patients were downloaded from The Cancer Genome Atlas, and data of splicing events were obtained from the SpliceSeq database. Univariate and multivariate Cox regression analyses were employed to identify survival-associated alternative spicing events (SASEs) and to calculate risk scores. Protein-protein interaction analysis of genes of the SASEs was performed using STRING, a database of known and predicted protein-protein interactions, and pathway enrichment analysis of the genes was implemented using the Database for Annotation, Visualization and Integrated Discovery (version 6.8). Receiver operating characteristic (ROC) curves and Kaplan-Meier analysis were used to evaluate the clinical significance of genes from the SASEs for building a risk score in BLCA. Correlation between splicing events of splicing factors and non-splicing factors were analyzed with Pearson correlation coefficient. A potential regulatory network was then built using Cytoscape 3.5. Results: In total, 39,508 alternative splicing events in 317 patients with BLCA were analyzed, including 4,632 SASEs. The area under the curve of the ROC of risk score (all) was 0.748 for predicting survival status of BLCA patients. Low- and high-risk score groups classified using the median “risk score (all)” value displayed remarkably different survival time (Low vs. High = 3304.841±239.758 vs 1198.614±152.460 days). The potential regulatory network with SASEs of splicing factors and other genes was constructed, which might be part of the biological mechanisms associated with prognosis of BLCA patients. Conclusions: In this study, prognostic signatures constructed using splicing events could be used for predicting the prognosis of BLCA patients.


Blood ◽  
2012 ◽  
Vol 120 (21) ◽  
pp. 978-978
Author(s):  
Harold Pimentel ◽  
Jie Li ◽  
Marilyn Parra ◽  
Dana Ghanem ◽  
Sherry Gee ◽  
...  

Abstract Abstract 978 Alternative pre-mRNA splicing plays a major role in development and differentiation by re-modeling the transcriptome to generate mRNAs that encode the biologically appropriate cell type-specific proteome. Earlier studies employing RT-PCR and exon microarrays demonstrated a small number of splicing changes during erythroid differentiation, one of which (in protein 4.1R) is critical for mechanical stability of the membrane skeleton. Here we report that the landscape of splicing changes executed during terminal erythropoiesis is far more extensive and highly dynamic, ultimately affecting the expression of many more proteins than previously recognized. Highly purified populations of FACS-sorted cells representing erythroblasts at distinct stages during terminal erythroid differentiation from proerythroblasts to orthochromatic erythroblasts of both human and mouse origin were used as the source of RNA for RNA-seq analysis. In total, hundreds of millions of sequence reads were obtained from three biological replicates for four (mouse) or five (human) cell populations, and reads were aligned to the Ensembl-annotated transcriptome using the Bowtie aligner. Transcript-level estimates were obtained using the streaming transcript abundance estimation tool, eXpress, expression of individual exons in “exon-inclusion” isoforms relative to total isoforms was represented as Ψ (psi), or percent spliced in, and statistical significance estimates adjusted for multiple comparisons by the Benjamini-Hochberg method. Thousands of alternative splicing events were predicted in genes with diverse functions in transcription, RNA processing, protein synthesis, membrane receptors, cytoskeletal structure, etc. Initial RT-PCR studies indicate that a high proportion of predicted alternative splicing events can be validated. Comparison of Ψ values across the differentiation series revealed that hundreds of alternative exons in erythroid transcripts exhibit substantial differences in splicing efficiency between proerythroblasts and orthrochromatic erythroblasts (ΔΨ>20%), suggesting that their splicing efficiency is regulated. Both increases and decreases in exon splicing efficiency were observed, indicating that multiple splicing regulatory pathways are active and that both splicing enhancer and splicing silencer factors are involved in the regulation. Interestingly, some of the splicing switches introduce premature translation termination codons, leading us to hypothesize that splicing-coupled nonsense mediated decay may down-regulate expression of a class of erythroid transcripts. To begin exploring mechanisms that regulate the late erythroid alternative splicing program, we used the RNA-seq data to derive differentiation stage-specific expression profiles of known splicing factors. Major changes in the expression profile of many splicing regulators were observed. hnRNPA1 was strongly down-regulated in late erythroblasts, in concert with up-regulation of the protein 4.1R splicing switch it has been shown to inhibit. Because many other exons are up-regulated with similar kinetics, hnRNPA1 may be a general inhibitor of alternative splicing in early erythroblasts. In contrast, RNA-seq data indicate that several other splicing factors including MBNL1, a known splicing factor in muscle and brain whose activity is disturbed in myotonic dystrophy, are substantially up-regulated in late erythropoiesis. We conclude that a highly dynamic alternative splicing program in terminally differentiating erythroblasts, in conjunction with the better studied transcriptional program, plays a major role in regulating gene expression to insure synthesis of the appropriate constellation of proteins both quantitatively and qualitatively as the cells are remodeled in preparation for production of mature red cells. Disclosures: No relevant conflicts of interest to declare.


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