GEO Logo
   NCBI > GEO > Accession DisplayHelp Not logged in | LoginHelp
GEO help: Mouse over screen elements for information.
Series GSE78913 Query DataSets for GSE78913
Status Public on Oct 26, 2016
Title Tracing Enhancer Networks using Epigenetic Traits (TENET)
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Genome binding/occupancy profiling by high throughput sequencing
Summary Although technological advances now allow increased tumor profiling, a detailed understanding of the mechanisms leading to the development of different cancers remains elusive. Our approach towards understanding the molecular events that lead to cancer is to characterize changes in transcriptional regulatory networks between normal and tumor tissue. Because enhancer activity is thought to be critical in regulating cell fate decisions, we have focused our studies on distal regulatory elements and transcription factors that bind to these elements. Using DNA methylation data, we identified more than 25,000 enhancers that are differentially activated in breast, prostate, and kidney tumor tissues, as compared to normal tissues. We then developed an analytical approach called TENET (Tracing Enhancer Networks using Epigenetic Traits) that correlates DNA methylation levels at enhancers with gene expression to identify more than 800,000 genome-wide links from enhancers to genes and from genes to enhancers. We found more than 1,200 transcription factors to be involved in these tumor-specific enhancer networks. We further characterized several transcription factors linked to a large number of enhancers in each tumor type, including GATA3 in non-basal breast tumors, HOXC6 and DLX1 in prostate tumors, and ZNF395 in kidney tumors. We showed that HOXC6 and DLX1 are associated with different clusters of prostate tumor-specific enhancers and confer distinct transcriptomic changes upon knockdown in C42B prostate cancer cells. We also discovered de novo motifs enriched in enhancers linked to ZNF395 in kidney tumors. Our studies characterized tumor-specific enhancers and revealed key transcription factors involved in enhancer networks for specific tumor types and subgroups. Our findings, which include a large set of identified enhancers and transcription factors linked to those enhancers in breast, prostate, and kidney cancers, will facilitate understanding of enhancer networks and mechanisms leading to the development of these cancers.
Overall design Examination of FAIRE and ChIP assays in prostate and breast epithelial cells.
RNA-seq assays in C42B, prostate cancer cell line after knocking down of TFs (HOXC6, DLX1).
Contributor(s) Rhie SK, Guo Y, Tak Y, Farnham P
Citation(s) 27833659
Submission date Mar 04, 2016
Last update date May 15, 2019
Contact name Suhn K Rhie
Organization name University of Southern California
Street address 1450 Biggy Street
City Los Angeles
State/province CA
ZIP/Postal code 90089
Country USA
Platforms (2)
GPL11154 Illumina HiSeq 2000 (Homo sapiens)
GPL18573 Illumina NextSeq 500 (Homo sapiens)
Samples (29)
GSM2080901 RNA-seq siRNA control rep1
GSM2080902 RNA-seq siRNA control rep2
GSM2080903 RNA-seq siRNA control rep3
BioProject PRJNA314348
SRA SRP071155

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
GSE78913_RAW.tar 12.1 Mb (http)(custom) TAR (of TXT)
GSE78913_genecount.txt.gz 966.4 Kb (ftp)(http) TXT
SRA Run SelectorHelp
Processed data are available on Series record
Raw data are available in SRA
Processed data provided as supplementary file

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