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Series GSE47803 Query DataSets for GSE47803
Status Public on Sep 01, 2013
Title Co-regulated gene expression by estrogen receptor-α and liver receptor homolog-1 is a feature of the estrogen response in breast cancer cells
Organism Homo sapiens
Experiment type Expression profiling by array
Summary Estrogen receptor α (ERα) is a nuclear receptor that is the driving transcription factor expressed in the majority of breast cancers. Recent studies have demonstrated that the liver receptor homolog-1 (LRH-1), another nuclear receptor, is ERα-regulated in breast cancer cells. Further, LRH-1 stimulates proliferation and promotes motility and invasion of breast cancer cells. To determine the mechanisms of LRH-1 action in breast cancer cells, we carried out gene expression microarray analysis following siRNA-mediated LRH-1 knockdown. Interestingly, gene ontology (GO) category enrichment analysis of the genes differentially regulated in the presence or absence of LRH-1 identified estrogen responsive genes as the most highly enriched GO categories. To further define LRH-1 target genes, we performed chromatin immunoprecipitation coupled to massively parallel sequencing (ChIP-seq) to identify genomic targets of LRH-1. Remarkably, ChIP-seq showed LRH-1 binding at many ERα binding sites. Analysis of select binding sites confirmed regulation of ERα-regulated genes by LRH-1 through binding to estrogen response elements, as exemplified by the TFF1/pS2 gene. Finally, LRH-1 over-expression stimulated ERα recruitment, whilst LRH-1 knockdown reduced ERα recruitment to ERα binding sites. Taken together, our findings establish a key role for LRH-1 in the regulation of ERα target genes in breast cancer cells and identify a mechanism in which co-operative binding of LRH-1 and ERα at estrogen response elements controls the expression of estrogen-responsive genes.
 
Overall design MCF-7 cells were transfected with LRH-1 siRNA #2, #3, or with a non-targeting siRNA (siControl) for 72 hours. Following assessment of RNA integrity, four biological replicates for each siRNA treatment were used for microarray analysis.
 
Contributor(s) Lai CF, Thiruchelvam P, Ottaviani S, Ali S
Citation(s) 24049078
Submission date Jun 10, 2013
Last update date Aug 16, 2018
Contact name Simak Ali
E-mail(s) simak.ali@imperial.ac.uk
Organization name Imperial College London
Department Department of Surgery & Cancer
Street address Du Cane Road
City London
ZIP/Postal code W12 0NN
Country United Kingdom
 
Platforms (1)
GPL6947 Illumina HumanHT-12 V3.0 expression beadchip
Samples (12)
GSM1159881 siControl_rep_1
GSM1159882 siControl_rep_2
GSM1159883 siControl_rep_3
Relations
BioProject PRJNA207825

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
GSE47803_RAW.tar 6.2 Mb (http)(custom) TAR
GSE47803_non-normalized.txt.gz 2.5 Mb (ftp)(http) TXT
Processed data included within Sample table

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