Triple_Negative_Breast_Cancer_sequencing

We propose to definitively characterise the somatic genetics of triple-ve breast cancer through generation of comprehensive catalogues of somatic mutations in a number of cases by high coverage genome sequencing coupled with integrated transcriptomic and methylation analyses.

Type: Cancer Genomics
Archiver: EGA European Genome-Phenome Archive

5 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
EGAD00001000063	Triple Negative Breast Cancer sequencing	Illumina Genome Analyzer II	6
EGAD00001000138	The expression data for this study can be found here: http://www.ebi.ac.uk/arrayexpress/experiments/E-MTAB-1088/and its SNP6 data can be found here:http://www.ebi.ac.uk/arrayexpress/experiments/E-MTAB-1087/	Illumina Genome Analyzer II Illumina HiSeq 2000	58
EGAD00001001335	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	28
EGAD00001001338	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	49
EGAD00001002237	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	59

Publications	Citations
Pan-cancer landscape of homologous recombination deficiency. Nguyen L, W M Martens J, Van Hoeck A, Cuppen E. Nat Commun 11: 2020 5584	140