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Series GSE29531 Query DataSets for GSE29531
Status Public on Aug 11, 2011
Title Genetic Framework for GATA Factor Function in Vascular Biology
Project ENCODE
Organism Homo sapiens
Experiment type Genome binding/occupancy profiling by high throughput sequencing
Summary Vascular endothelial dysfunction underlies the genesis and progression of numerous diseases. Whereas the GATA transcription factor GATA-2 is expressed in endothelial cells and is implicated in coronary heart disease, it has been studied predominantly as a master regulator of hematopoiesis. As many questions remain unanswered regarding GATA-2 function in the vascular biology realm, we used ChIP-seq and loss-of-function strategies to define the GATA-2-instigated genetic network in human endothelial cells. By contrast to erythroid cells, GATA-2 occupied a unique target gene ensemble, consisting of genes encoding key determinants of endothelial cell identity and inflammation. GATA-2-occupied sites characteristically contained motifs that bind Activator Protein-1 (AP-1), a pivotal regulator of inflammatory genes. GATA-2 frequently occupied the same chromatin sites as c-JUN and c-FOS, heterodimeric components of AP-1. Though all three components were required for maximal AP-1 target gene expression, GATA-2 was not required for AP-1 chromatin occupancy. GATA-2 conferred maximal phosphorylation of chromatin-bound c-JUN at Ser 73, which stimulates AP-1-dependent transactivation, in a chromosomal context-dependent manner. This work establishes a link between a GATA factor and inflammation, mechanistic insights underlying GATA-2-AP-1 cooperativity, and a rigorous genetic framework for understanding GATA-2 function in normal and pathophysiological vascular states.

For data usage terms and conditions, please refer to http://www.genome.gov/27528022 and http://www.genome.gov/Pages/Research/ENCODE/ENCODEDataReleasePolicyFinal2008.pdf
 
Overall design Examination of GATA2 ChIP-seq in HUVEC cells.
Web link http://0-www-ncbi-nlm-nih-gov.brum.beds.ac.uk/geo/info/ENCODE.html
 
Contributor(s) Linnemann AK, O'Geen H, Keles S, Farnham PJ, Bresnick EH
Citation(s) 21808000
BioProject PRJNA63447
Submission date May 25, 2011
Last update date May 15, 2019
Contact name Philip Cayting
E-mail(s) pcayting@stanford.edu
Organization name Stanford University
Department Genetics
Lab Snyder
Street address 1501 S California Ave
City Palo Alto
State/province CA
ZIP/Postal code 94304
Country USA
 
Platforms (1)
GPL9052 Illumina Genome Analyzer (Homo sapiens)
Samples (5)
GSM730701 GATA2_ChIP-seq_A
GSM730702 GATA2_ChIP-seq_B
GSM730703 cFOS_ChIP-seq_A
Relations
SRA SRP006967

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
GSE29531_RAW.tar 2.6 Gb (http)(custom) TAR (of BAM)
GSE29531_wgEncodeSydhTfbsHuvecCfosUcdPk.narrowPeak.gz 944.7 Kb (ftp)(http) NARROWPEAK
GSE29531_wgEncodeSydhTfbsHuvecCfosUcdSig.bigWig 344.8 Mb (ftp)(http) BIGWIG
GSE29531_wgEncodeSydhTfbsHuvecGata2UcdPk.narrowPeak.gz 591.4 Kb (ftp)(http) NARROWPEAK
GSE29531_wgEncodeSydhTfbsHuvecGata2UcdSig.bigWig 369.6 Mb (ftp)(http) BIGWIG
GSE29531_wgEncodeSydhTfbsHuvecInputUcdSig.bigWig 351.0 Mb (ftp)(http) BIGWIG
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file
Processed data are available on Series record

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