Life Science AllianceSystems BiologyPeer-reviewed journal article
A large-scale cancer-specific protein-DNA interaction network
Yunwei LuiD, Anna BerensoniD, Ryan LaneiD, Isabelle GueliniD, Zhaorong LiiD, Yilin CheniD, Sakshi ShahiD, Meimei Yin, Luis F. SotoiD, Ana FiszbeiniD, Juan I. Fuxman BassiD
Abstract
Cancer development and progression are generally associated with dysregulation of gene expression, often resulting from changes in transcription factor (TF) sequence or expression. Identifying key TFs involved in cancer gene regulation provides a framework for potential new therapeutics. This study presents a large-scale cancer gene TF-DNA interaction network as well as an extensive promoter clone resource for future studies. Most highly connected TFs do not show a preference for binding to promoters of genes associated with either good or poor cancer prognosis, suggesting that emerging strategies aimed at shifting gene expression balance between these two prognostic groups may be inherently complex. However, we identified potential for oncogene targeted therapeutics, with half of the tested oncogenes being potentially repressed by influencing specific activator or bifunctional TFs. Finally, we investigate the role of intrinsically disordered regions within the key cancer-related TF estrogen receptor [a] (ESR1) on DNA binding and transcriptional activity, and found that these regions can have complex trade-offs in TF function. Altogether, our study not only broadens our knowledge of TFs involved in the cancer gene regulatory network but also provides a valuable resource for future studies, laying a foundation for potential therapeutic strategies targeting TFs in cancer.
- organism: human
- assay: ChIP-seq
- research focus: gene regulatory network inference
- research focus: drug response / drug discovery
- research focus: protein structure prediction
- research focus: protein design
- approach: statistical model
- approach: experimental assay
- Citations
- 9
- FWCI
- 1.23
- Field percentile
- top 23%
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