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Human Gene-Centered Transcription Factor Networks for Enhancers and Disease Variants
Author(s) -
Juan I. Fuxman Bass,
Nidhi Sahni,
Shaleen Shrestha,
Aurian P. García-González,
Akihiro Mori,
Numana Bhat,
S. Stephen Yi,
David E. Hill,
Marc Vidal,
Albertha J.M. Walhout
Publication year - 2015
Publication title -
cell
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 26.304
H-Index - 776
eISSN - 1097-4172
pISSN - 0092-8674
DOI - 10.1016/j.cell.2015.03.003
Subject(s) - biology , enhancer , genetics , gene , transcription factor , computational biology , genome , mutant , gene regulatory network , human genome , gene expression
Gene regulatory networks (GRNs) comprising interactions between transcription factors (TFs) and regulatory loci control development and physiology. Numerous disease-associated mutations have been identified, the vast majority residing in non-coding regions of the genome. As current GRN mapping methods test one TF at a time and require the use of cells harboring the mutation(s) of interest, they are not suitable to identify TFs that bind to wild-type and mutant loci. Here, we use gene-centered yeast one-hybrid (eY1H) assays to interrogate binding of 1,086 human TFs to 246 enhancers, as well as to 109 non-coding disease mutations. We detect both loss and gain of TF interactions with mutant loci that are concordant with target gene expression changes. This work establishes eY1H assays as a powerful addition to the toolkit of mapping human GRNs and for the high-throughput characterization of genomic variants that are rapidly being identified by genome-wide association studies.

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