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Updated: Mar 29, 2026

Engineering Artificial Factors to Specifically Manipulate Alternative Splicing in Human Cells
Published on: April 26, 2017
TCGASpliceSeq a compendium of alternative mRNA splicing in cancer
Michael Ryan1, Wing Chung Wong2, Robert Brown2
1Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA In Silico Solutions, Falls Church, VA 22043, USA mryan@insilico.us.com.
Abstract:
TCGA's RNASeq data represent one of the largest collections of cancer transcriptomes ever assembled. RNASeq technology, combined with computational tools like our SpliceSeq package, provides a comprehensive, detailed view of alternative mRNA splicing. Aberrant splicing patterns in cancers have been implicated in such processes as carcinogenesis, de-differentiation and metastasis. TCGA SpliceSeq (http://bioinformatics.mdanderson.org/TCGASpliceSeq) is a web-based resource that provides a quick, user-friendly, highly visual interface for exploring the alternative splicing patterns of TCGA tumors. Percent Spliced In (PSI) values for splice events on samples from 33 different tumor types, including available adjacent normal samples, have been loaded into TCGA SpliceSeq. Investigators can interrogate genes of interest, search for the genes that show the strongest variation between or among selected tumor types, or explore splicing pattern changes between tumor and adjacent normal samples. The interface presents intuitive graphical representations of splicing patterns, read counts and various statistical summaries, including percent spliced in. Splicing data can also be downloaded for inclusion in integrative analyses. TCGA SpliceSeq is freely available for academic, government or commercial use.
Insights
TCGA SpliceSeq offers a user-friendly web interface to explore cancer alternative mRNA splicing patterns using RNASeq data. This resource visualizes splicing variations across 33 tumor types, aiding cancer research.
Area of Science:
- Genomics and Bioinformatics
- Cancer Transcriptomics
- Molecular Biology
Background:
- The Cancer Genome Atlas (TCGA) provides extensive RNASeq data for cancer transcriptomes.
- Alternative mRNA splicing is crucial in cancer development, including carcinogenesis, de-differentiation, and metastasis.
- Understanding splicing alterations is vital for cancer research.
Purpose of the Study:
- To develop TCGA SpliceSeq, a web-based resource for exploring alternative splicing patterns in TCGA tumors.
- To provide a user-friendly, visual interface for analyzing splicing data.
- To enable investigation of splicing variations between tumor types and between tumors and adjacent normal tissues.
Main Methods:
- Utilized TCGA RNASeq data for 33 different tumor types.
- Developed the SpliceSeq computational package and a web-based interface.
- Loaded Percent Spliced In (PSI) values for splice events and associated statistical summaries.
Main Results:
- TCGA SpliceSeq offers a highly visual and intuitive interface for exploring splicing patterns.
- Users can interrogate specific genes, identify genes with significant splicing variation, or compare tumor vs. normal samples.
- Splicing data, including PSI values and graphical representations, are accessible and downloadable.
Conclusions:
- TCGA SpliceSeq is a valuable, freely accessible resource for the cancer research community.
- Facilitates in-depth analysis of alternative splicing in cancer using TCGA data.
- Supports integrative analyses and discovery of novel splicing-related cancer mechanisms.
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