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Combinatorial Patterning of Chromatin Regulators Uncovered by Genome-wide Location Analysis in Human Cells

Authors :
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 Science
Kellis, Manolis
Ernst, Jason
Regev, Aviv
Gymrek, Melissa A.
Coyne, Michael J.
Ram, Oren
Goren, Alon
Amit, Ido
Shoresh, Noam
Yosef, Nir
Issner, Robbyn
Durham, Timothy
Zhang, Xiaolan
Donaghey, Julie
Epstein, Charles B.
Bernstein, Bradley E.
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 Science
Kellis, Manolis
Ernst, Jason
Regev, Aviv
Gymrek, Melissa A.
Coyne, Michael J.
Ram, Oren
Goren, Alon
Amit, Ido
Shoresh, Noam
Yosef, Nir
Issner, Robbyn
Durham, Timothy
Zhang, Xiaolan
Donaghey, Julie
Epstein, Charles B.
Bernstein, Bradley E.
Source :
Elsevier
Publication Year :
2014

Abstract

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.<br />National Human Genome Research Institute (U.S.) Center of Excellence in Genome Science (Grant)<br />Howard Hughes Medical Institute<br />National Institutes of Health (U.S.). Pioneer Award<br />Burroughs Wellcome Fund

Details

Database :
OAIster
Journal :
Elsevier
Notes :
application/pdf, en_US
Publication Type :
Electronic Resource
Accession number :
edsoai.on1155490354
Document Type :
Electronic Resource