bioRxivCancer Biology
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
A. N. Holding, F. M. Giorgi, A. Donnelly, A. E. Cullen, S. Nagarajan, L. A. Selth, F. Markowetz
Abstract
VULCAN infers regulatory interactions of transcription factors by overlaying networks generated from tumor expression data onto ChIP-seq data. VULCAN analysis of estrogen receptor (ER) activation in breast cancer highlighted key components of the ER complex alongside a novel interaction with GRHL2. We demonstrate that GRHL2 is recruited to a subset of ER binding sites and regulates the transcriptional output of ER, as evidenced by: changes in ER-associated eRNA expression; and stronger ER binding at active enhancers (H3K27ac sites) after GRHL2 knockdown. Our findings provide new insight into ER signaling and demonstrate VULCAN, available from Bioconductor, as a powerful predictive tool.
- organism: human
- assay: ChIP-seq
- assay: bulk RNA-seq
- research focus: chromatin & epigenetic regulation
- research focus: cell type annotation
- approach: deep learning
- approach: statistical model
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