← BioTransfer GEO Dataset Finder
GEO series

Prevalent p53 gain-of-function mutants co-opt epigenetic pathways to drive cancer growth

GSE59176 Homo sapiens; Mus musculus Genome binding/occupancy profiling by high throughput sequencing; Expression profiling by high throughput sequencing 15 samples Submitted 2015/07/31 Platform GPL19057Platform GPL11154
Summary
We investigated the genomewide binding pattern of prevalent p53 gain-of-function (GOF) mutants by ChIP-seq, in a panel of breast cancer cell lines. We assessed the genomewide changes of H3K4me3 upon GOF p53 knockdown in MDA-MB-468 breast cancer cells bearing the p53 R273H mutation.
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE59176_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 15 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA254538 and SRA study SRP044136. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Sort into groups and it will be fetched from NCBI.

+ 15 more — browse all 15 samples with per-sample file links →

Similar datasets

Search all ChIP / ATAC / CUT&Tag datasets in GEO →

Share this dataset

Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.