Combinatorial Patterning of Chromatin Regulators Uncovered by Genome-wide Location Analysis in Human Cells
Author(s)
Ram, Oren; Goren, Alon; Amit, Ido; Shoresh, Noam; Yosef, Nir; Ernst, Jason; Kellis, Manolis; Issner, Robbyn; Durham, Timothy; Zhang, Xiaolan; Donaghey, Julie; Epstein, Charles B.; Regev, Aviv; Bernstein, Bradley E.; Gymrek, Melissa A.; Coyne, Michael J.; ... Show more Show less
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Hundreds of chromatin regulators (CRs) control chromatin structure and function by catalyzing and binding histone modifications, yet the rules governing these key processes remain obscure. Here, we present a systematic approach to infer CR function. We developed ChIP-string, a meso-scale assay that combines chromatin immunoprecipitation with a signature readout of 487 representative loci. We applied ChIP-string to screen 145 antibodies, thereby identifying effective reagents, which we used to map the genome-wide binding of 29 CRs in two cell types. We found that specific combinations of CRs colocalize in characteristic patterns at distinct chromatin environments, at genes of coherent functions, and at distal regulatory elements. When comparing between cell types, CRs redistribute to different loci but maintain their modular and combinatorial associations. Our work provides a multiplex method that substantially enhances the ability to monitor CR binding, presents a large resource of CR maps, and reveals common principles for combinatorial CR function.
Date issued
2011-12Department
Harvard University--MIT Division of Health Sciences and Technology; Lincoln Laboratory; Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory; Massachusetts Institute of Technology. Department of Biology; Massachusetts Institute of Technology. Department of Electrical Engineering and Computer ScienceJournal
Cell
Publisher
Elsevier
Citation
Ram, Oren, Alon Goren, Ido Amit, Noam Shoresh, Nir Yosef, Jason Ernst, Manolis Kellis, et al. “Combinatorial Patterning of Chromatin Regulators Uncovered by Genome-Wide Location Analysis in Human Cells.” Cell 147, no. 7 (December 2011): 1628–1639. © 2011 Elsevier Inc.
Version: Final published version
ISSN
00928674
1097-4172