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Series GSE51705 Query DataSets for GSE51705
Status Public on Sep 05, 2014
Title ChIP-Seq experiments of KLF5, GATA4 and GATA6 in YCC3/AGS/KATOIII cell lines
Organism Homo sapiens
Experiment type Genome binding/occupancy profiling by high throughput sequencing
Summary Three transcription factors KLF5, GATA4 and GATA6 are recurrently amplified in multiple gastric cancer cohorts, representing one type of lineage-survival oncogenes in gastric cancer. ChIP-Seq analysis of these three factors in multiple cell lines revealed that significant number of genomic sites are co-occupied by KLF5 and GATA4 and/or GATA6. Integrative analysis of ChIP-Seq and gene expression identified several targets of the three transcription factors in both cell lines and primary tumors, including HNF4A. These results suggest that KLF5, GATA4 and GATA6 interact and co-operate to regulate HNF4A and other genes to promote tumorigenesis in gastric cancer.
Overall design ChIP-Seq experiments of KLF5, GATA4 and GATA6 were performed in three gastric cancer cell lines YCC3, AGS and KATOIII
Contributor(s) Deng N, Chia N, Tan P
Citation(s) 25053715
Submission date Oct 25, 2013
Last update date May 15, 2019
Contact name Niantao Deng
Organization name Duke NUS Graduate Medical School
Street address Center for Computational Biology, level 6, 8 College Road
City Singapore
State/province Singapore
ZIP/Postal code 169857
Country Singapore
Platforms (1)
GPL10999 Illumina Genome Analyzer IIx (Homo sapiens)
Samples (12)
GSM1250890 YCC3 Input
GSM1250891 YCC3 KLF5
GSM1250892 YCC3 GATA4
This SubSeries is part of SuperSeries:
GSE51706 Integrative study of cooperative lineage-survival oncogenes in gastric cancer
BioProject PRJNA224585
SRA SRP031908

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
GSE51705_RAW.tar 3.6 Mb (http)(custom) TAR (of BED)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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