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dc.contributor.authorBarbashina, V
dc.date.accessioned2018-06-08T10:50:29Z
dc.date.issued2016-08
dc.identifier7
dc.identifier.citationCell Reports, 2016, 16 pp. 2032 - 2046
dc.identifier.urihttps://repository.icr.ac.uk/handle/internal/1758
dc.description.abstractDisordered transcriptomes of cancer encompass direct effects of somatic mutation on transcription, coordinated secondary pathway alterations, and increased transcriptional noise. To catalog the rules governing how somatic mutation exerts direct transcriptional effects, we developed an exhaustive pipeline for analyzing RNA sequencing data, which we integrated with whole genomes from 23 breast cancers. Using X-inactivation analyses, we found that cancer cells are more transcriptionally active than intermixed stromal cells. This is especially true in estrogen receptor (ER)-negative tumors. Overall, 59% of substitutions were expressed. Nonsense mutations showed lower expression levels than expected, with patterns characteristic of nonsense-mediated decay. 14% of 4,234 rearrangements caused transcriptional abnormalities, including exon skips, exon reusage, fusions, and premature polyadenylation. We found productive, stable transcription from sense-to-antisense gene fusions and gene-to-intergenic rearrangements, suggesting that these mutation classes drive more transcriptional disruption than previously suspected. Systematic integration of transcriptome with genome data reveals the rules by which transcriptional machinery interprets somatic mutation.
dc.format.extent2032 - 2046
dc.languageeng
dc.language.isoeng
dc.rights.urihttps://creativecommons.org/licenses/by/4.0
dc.titleDirect Transcriptional Consequences of Somatic Mutation in Breast Cancer
dc.typeJournal Article
dcterms.dateAccepted2016-07-14
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by/4.0
rioxxterms.licenseref.startdate2016-08
rioxxterms.typeJournal Article/Review
dc.relation.isPartOfCell Reports
pubs.notesISI Document Delivery No.: DT3JH Times Cited: 0 Cited Reference Count: 31 Shlien, Adam Raine, Keiran Fuligni, Fabio Arnold, Roland Nik-Zainal, Serena Dronov, Serge Mamanova, Lira Rosic, Andrej Ju, Young Seok Cooke, Susanna L. Ramakrishna, Manasa Papaemmanuil, Elli Davies, Helen R. Tarpey, Patrick S. Van Loo, Peter Wedge, David C. Jones, David R. Martin, Sancha Marshall, John Anderson, Elizabeth Hardy, Claire Barbashina, Violetta Aparicio, Samuel A. J. R. Sauer, Torill Garred, Oystein Vincent-Salomon, Anne Mariani, Odette Boyault, Sandrine Fatima, Aquila Langerod, Anita Borg, Ake Thomas, Gilles Richardson, Andrea L. Borresen-Dale, Anne-Lise Polyak, Kornelia Stratton, Michael R. Campbell, Peter J. Wellcome Trust [077012/Z/05/Z, WT088340MA]; HL Holmes Award from the National Research Council Canada; European Molecular Biology Organization (EMBO) Fellowship; BASIS project - European Community [242006]; Southern and Eastern Norway Regional Health Authority [2011079]; Norwegian Cancer Society [0332]; Norwegian Radium Hospital Research Foundation This work was supported by the Wellcome Trust (grant reference 077012/Z/05/Z). P.J.C. is personally funded through a Wellcome Trust Senior Clinical Research Fellowship (grant reference WT088340MA). A.S. is supported by an HL Holmes Award from the National Research Council Canada and an European Molecular Biology Organization (EMBO) Fellowship. S.D., S.M., and A.L. are funded through the BASIS project, which is a European research project funded by the European Community’s Seventh Framework Programme (FP7/2010-2014) under the grant agreement 242006. A.L. and A.-L.B.-D. are supported by Southern and Eastern Norway Regional Health Authority (2011079), Norwegian Cancer Society (0332), and the Norwegian Radium Hospital Research Foundation. We also would like to acknowledge the Core Sequencing Facility and Information Technology groups of the Wellcome Trust Sanger Institute; support for samples, sample banking, and processing from the Breakthrough Breast Cancer Unit; and members of the ICGC Breast Cancer Working Group as well as the Pathology Review subgroup of the Breast Cancer Working Group. 0 CELL PRESS CAMBRIDGE CELL REP keywords: ACUTE MYELOID-LEUKEMIA GENOMIC CHARACTERIZATION GENE-EXPRESSION FUSION TRANSCRIPTS SEQUENCING DATA CELL REARRANGEMENT IDENTIFICATION LANDSCAPE DISCOVERY
pubs.notesNot known
pubs.organisational-group/ICR
pubs.organisational-group/ICR
pubs.volume16
pubs.embargo.termsNot known
dc.contributor.icrauthorBarbashina, Violetta


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