RNA_sequencing

All cancers arise due to somatically acquired mutations in their genomes which alter the function of key cancer genes. Understanding the critical mutational events underlying the development of cancer is paramount for advancing prevention, early detection and effective treatment of the disease. Breast cancer is the most common cause of cancer death among women. Extraordinary recent advances in sequencing now make it a realistic aim to sequence large numbers of breast cancer genomes to find somatic mutations on a massive scale. NB bam files for manuscript A_Proteomic_Chronology_of_Gene_Expression_through_the_Cell_Cycle_in_Human_Myeloid_Leukemia_Cells are now available at the following link:http://www.ebi.ac.uk/ena/data/view/ERP008483

Type: Other
Archiver: European Genome-Phenome Archive (EGA)

3 Datasets 1 Publication

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID	Description	Technology	Samples
EGAD00001000285	We propose to definitively characterise the somatic genetics of breast cancer through generation of comprehensive catalogues of somatic mutations in breast cancer cases by high coverage genome sequencing coupled with integrated transcriptomic and methylation analyses.	Illumina Genome Analyzer II Illumina HiSeq 2000	55
EGAD00001001019	RNA-seq dataset used for the validation of CDK6 cis-regulatory mutation annotated by OncoCis. NB bam files for manuscript A_Proteomic_Chronology_of_Gene_Expression_through_the_Cell_Cycle_in_Human_Myeloid_Leukemia_Cells are now available at the following link:http://www.ebi.ac.uk/ena/data/view/ERP008483	Illumina HiSeq 2000	1
EGAD00001002236	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.	Illumina Genome Analyzer II Illumina HiSeq 2000	32

Publications	Citations
Direct Transcriptional Consequences of Somatic Mutation in Breast Cancer. Shlien A, Raine K, Fuligni F, Arnold R, Nik-Zainal S, Dronov S, Mamanova L, Rosic A, Ju YS, Cooke SL, Ramakrishna M, Papaemmanuil E, Davies HR, Tarpey PS, Van Loo P, Wedge DC, Jones DR, Martin S, Marshall J, Anderson E, Hardy C, ICGC Breast Cancer Working Group, Oslo Breast Cancer Research Consortium, Barbashina V, Aparicio SA, Sauer T, Garred Ø, Vincent-Salomon A, Mariani O, Boyault S, Fatima A, Langerød A, Borg Å, Thomas G, Richardson AL, Børresen-Dale AL, Polyak K, Stratton MR, Campbell PJ. Cell Rep 16: 2016 2032-2046	28

Publications

Citations

Direct Transcriptional Consequences of Somatic Mutation in Breast Cancer.
Shlien A, Raine K, Fuligni F, Arnold R, Nik-Zainal S, Dronov S, Mamanova L, Rosic A, Ju YS, Cooke SL, Ramakrishna M, Papaemmanuil E, Davies HR, Tarpey PS, Van Loo P, Wedge DC, Jones DR, Martin S, Marshall J, Anderson E, Hardy C, ICGC Breast Cancer Working Group, Oslo Breast Cancer Research Consortium, Barbashina V, Aparicio SA, Sauer T, Garred Ø, Vincent-Salomon A, Mariani O, Boyault S, Fatima A, Langerød A, Borg Å, Thomas G, Richardson AL, Børresen-Dale AL, Polyak K, Stratton MR, Campbell PJ. Cell Rep 16: 2016 2032-2046