Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

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Exon-level expression profiling of normal colonic mucosa samples.


ABSTRACT: These samples have been analyzed for global alternative splicing variation on exon-level expression data using the FIRMA algorithm. We have identified and described transcriptome instability as a genome-wide, pre-mRNA splicing related characteristic of solid cancers. This Series consists of 19 normal colonic mucosa samples from colorectal cancer patients, and is an amendment to a larger series of colorectal cancer and adjacent normal colonic mucosa samples analyzed for gene expression at the exon-level (GSE24550).

ORGANISM(S): Homo sapiens

SUBMITTER: Anita Sveen 

PROVIDER: E-GEOD-42690 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Transcriptome instability as a molecular pan-cancer characteristic of carcinomas.

Sveen Anita A   Johannessen Bjarne B   Teixeira Manuel R MR   Lothe Ragnhild A RA   Skotheim Rolf I RI  

BMC genomics 20140810


<h4>Background</h4>We have previously proposed transcriptome instability as a genome-wide, pre-mRNA splicing-related characteristic of colorectal cancer. Here, we explore the hypothesis of transcriptome instability being a general characteristic of cancer.<h4>Results</h4>Exon-level microarray expression data from ten cancer datasets were analyzed, including breast cancer, cervical cancer, colorectal cancer, gastric cancer, lung cancer, neuroblastoma, and prostate cancer (555 samples), as well as  ...[more]

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