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Series GSE59176 Query DataSets for GSE59176
Status Public on Jul 31, 2015
Title Prevalent p53 gain-of-function mutants co-opt epigenetic pathways to drive cancer growth
Organisms Homo sapiens; Mus musculus
Experiment type Genome binding/occupancy profiling by high throughput sequencing
Expression profiling by high throughput sequencing
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.
Overall design This study uses ChIP-seq of H3K4me3 and histone H3 in wild-type or p53 R172H knock-in MEFs. Additionally, this study examines the transcriptome of wild-type or p53 R172H knock-in MEFs using polyA+ RNA-seq.
Contributor(s) Sammons M, Berger S
Citation(s) 26331536
Submission date Jul 08, 2014
Last update date May 15, 2019
Contact name Morgan Sammons
Organization name University of Pennsylvania
Street address 3400 Civic Center Blvd
City Philadelphia
State/province PA
ZIP/Postal code 19129
Country USA
Platforms (2)
GPL11154 Illumina HiSeq 2000 (Homo sapiens)
GPL19057 Illumina NextSeq 500 (Mus musculus)
Samples (15)
GSM1429753 p53 ChIP_MCF7
GSM1429754 p53 ChIP_MDA-MB-175VII
GSM1429755 p53 ChIP_MDA-MB-468
BioProject PRJNA254538
SRA SRP044136

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE59176_RAW.tar 1.3 Gb (http)(custom) TAR (of BEDGRAPH, BW)
GSE59176_RNAseq_WTvsR172H_HOMERout.txt.gz 1.1 Mb (ftp)(http) TXT
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Raw data are available in SRA
Processed data provided as supplementary file
Processed data are available on Series record

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