Study ID Alternative Stable ID Type
EGAS00001000166 Cancer Genomics

Study Description

We propose to definitively characterise the somatic genetics of matched pair breast cancer cell lines through generation of comprehensive catalogues of somatic mutations by high coverage genome sequencing coupled with integrated transcriptomic and methylation analyses.

Study Datasets 3 datasets.

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
Breast Cancer Matched Pair Cell Line Whole Genomes
Illumina HiSeq 2000 22
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 ... (Show More)
Illumina Genome Analyzer II,Illumina HiSeq 2000 59
CRISPR-Cas9 loss-of-function screens are instrumental to systematically identify genes important for cellular fitness in cancer cells. While structural rearrangements are a ubiquitous feature in cancer, their impact on CRISPR-Cas9 response has not yet been systematically assessed. Utilising data for 163 CRISPR-Cas9 screened cancer cell lines, we demonstrate that targeting tandem amplified regions is highly detrimental to cellular fitness, in stark contrast to amplifications arising from ... (Show More)
Illumina HiSeq 2000 12

Who archives the data?

There are no publications available