Direct transcriptional consequences of somatic mutation in breast cancer
The disordered transcriptomes of cancer encompass direct effects of somatic mutation on transcription; co-ordinated secondary alterations in transcriptional pathways; and increased transcriptional noise. To catalogue the rules governing how somatic mutation Overall, 59% of 6980 exonic substitutions were expressed. Compared to other classes, nonsense mutations showed lower expression levels than expected with patterns characteristic of nonsense-mediated decay. 14% of 4234 genomic rearrangements caused transcriptional abnormalities, including exon skips, exon reusage, fusion transcripts and premature poly-adenylation. We found productive, stable transcription from sense-to-antisense gene fusions and gene-to-intergenic rearrangements, suggesting that these mutation classes may drive more transcriptional disruption than previously suspected. Systematic integration of transcriptome with genome data therefore reveals the rules by which transcriptional machinery interprets somatic mutation.
- 01/07/2016
- 32 samples
- DAC: EGAC00001000000
- Technologies: Illumina Genome Analyzer II, Illumina HiSeq 2000
- PUB DUO:0000019 (version: 2021-02-23)publication requiredThis data use modifier indicates that requestor agrees to make results of studies using the data available to the larger scientific community.
- US DUO:0000026 (version: 2021-02-23)user specific restrictionThis data use modifier indicates that use is limited to use by approved users.
- IS DUO:0000028 (version: 2021-02-23)institution specific restrictionThis data use modifier indicates that use is limited to use within an approved institution.
- GRU DUO:0000042 (version: 2021-02-23)general research useThis data use permission indicates that use is allowed for general research use for any research purpose.
Wellcome Trust Sanger Institute Cancer Genome Group Data Sharing Policy
Studies are experimental investigations of a particular phenomenon, e.g., case-control studies on a particular trait or cancer research projects reporting matching cancer normal genomes from patients.
| Study ID | Study Title | Study Type |
|---|---|---|
| EGAS00001000310 | Other |
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