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VULCAN integrates ChIP-seq with patient-derived co-expression networks to identify GRHL2 as a key co-regulator of ERa at enhancers in breast cancer.

Accepted version
Peer-reviewed

Change log

Authors

Giorgi, Federico M 
Donnelly, Amanda 
Cullen, Amy E 
Nagarajan, Sankari 

Abstract

BACKGROUND: VirtUaL ChIP-seq Analysis through Networks (VULCAN) infers regulatory interactions of transcription factors by overlaying networks generated from publicly available tumor expression data onto ChIP-seq data. We apply our method to dissect the regulation of estrogen receptor-alpha activation in breast cancer to identify potential co-regulators of the estrogen receptor's transcriptional response. RESULTS: VULCAN analysis of estrogen receptor activation in breast cancer highlights the key components of the estrogen receptor complex alongside a novel interaction with GRHL2. We demonstrate that GRHL2 is recruited to a subset of estrogen receptor binding sites and regulates transcriptional output, as evidenced by changes in estrogen receptor-associated eRNA expression and stronger estrogen receptor binding at active enhancers after GRHL2 knockdown. CONCLUSIONS: Our findings provide new insight into the role of GRHL2 in regulating eRNA transcription as part of estrogen receptor signaling. These results demonstrate VULCAN, available from Bioconductor, as a powerful predictive tool.

Description

Keywords

Breast cancer, ChIP-seq, Dynamics, ER, GRHL2, H3K27ac, Master regulator, Network analysis, P300, VULCAN, Algorithms, Breast Neoplasms, DNA-Binding Proteins, Estrogen Receptor alpha, Female, Gene Expression Regulation, Neoplastic, Genetic Techniques, Humans, Transcription Factors

Journal Title

Genome Biol

Conference Name

Journal ISSN

1474-7596
1474-760X

Volume Title

20

Publisher

Springer Science and Business Media LLC
Sponsorship
Cancer Research UK (C14303/A17197)
Alan Turing Institute (Unknown)
Breast Cancer Campaign (2012NovemberPR042)
Cancer Research UK (19274)
Cancer Research UK (19274)
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