NCBI Logo
GEO Logo
   NCBI > GEO > Accession DisplayHelp Not logged in | LoginHelp
GEO help: Mouse over screen elements for information.
          Go
Series GSE30183 Query DataSets for GSE30183
Status Public on Sep 07, 2012
Title Expression profiling of MCF7 cells upon nutlin3a treatment
Organism Homo sapiens
Experiment type Expression profiling by array
Summary The tumor suppressor p53 can induce various biological responses. Yet it is not clear whether it is p53 in vivo promoter selectivity that triggers different transcription programs leading to different outcomes. Our analysis of genome-wide chromatin occupancy by p53 using ChIP-seq (deposited in Sequence Read Archive database as SRP007261) revealed “p53 default program”, i.e. the pattern of major p53-bound sites that is similar upon p53 activation by nutlin3a, RITA or 5-FU in breast cancer cells, despite different biological outcomes triggered by these compounds. Parallel analysis of gene expression allowed identification of 280 previously unknown p53 target genes, including p53-repressed AURKA. The consensus p53 binding motif was present more frequently in p53-induced, than in repressed targets, indicating different mechanisms of gene activation versus repression. We identified several possible cofactors of p53, and found that STAT3 antagonised p53-mediated repression of a subset of genes, including AURKA. Finally, we showed that the expression of the novel p53 targets correlates with p53 status and survival in breast cancer patients.
We used microarrays to detail the global programme of gene expression changed upon nutlin3a treatment and knocking-down of STAT3 transcription program
 
Overall design MCF7 cell with or without knock-down of STAT3 were treated with nutlin3a and collected for RNA extraction and hybridization on Affymetrix microarrays.
 
Contributor(s) Nikulenkov F, Spinnler C, Li H, Tonelli C, Yao S, Miko T, Teemu K, Ilija I, Alexander K, Jussi T, Galina S
Citation(s) 22790872
Submission date Jun 23, 2011
Last update date Mar 21, 2019
Contact name Fedor Nikulenkov
E-mail(s) [email protected]
Phone 0707922237
Fax 0707922237
Organization name Fedor Nikulenkov
Street address Nobels vag 16
City Stockholm
ZIP/Postal code 17177
Country Sweden
 
Platforms (1)
GPL13667 [HG-U219] Affymetrix Human Genome U219 Array
Samples (18)
GSM747238 MCF7-Contr_8h-1
GSM747239 MCF7-Contr_8h-2
GSM747240 MCF7-Contr_8h-3
Relations
BioProject PRJNA143965

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
GSE30183_RAW.tar 39.1 Mb (http)(custom) TAR (of CEL)
Processed data included within Sample table

| NLM | NIH | GEO Help | Disclaimer | Accessibility |
NCBI Home NCBI Search NCBI SiteMap