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High-density P300 enhancers control cell state transitions.

Published version
Peer-reviewed

Type

Article

Change log

Authors

Witte, Steven 
Enright, Anton J 
Muljo, Stefan A 

Abstract

BACKGROUND: Transcriptional enhancers are frequently bound by a set of transcription factors that collaborate to activate lineage-specific gene expression. Recently, it was appreciated that a subset of enhancers comprise extended clusters dubbed stretch- or super-enhancers (SEs). These SEs are located near key cell identity genes, and enriched for non-coding genetic variations associated with disease. Previously, SEs have been defined as having the highest density of Med1, Brd4 or H3K27ac by ChIP-seq. The histone acetyltransferase P300 has been used as a marker of enhancers, but little is known about its binding to SEs. RESULTS: We establish that P300 marks a similar SE repertoire in embryonic stem cells as previously reported using Med1 and H3K27ac. We also exemplify a role for SEs in mouse T helper cell fate decision. Similarly, upon activation of macrophages by bacterial endotoxin, we found that many SE-associated genes encode inflammatory proteins that are strongly up-regulated. These SEs arise from small, low-density enhancers in unstimulated macrophages. We also identified expression quantitative trait loci (eQTL) in human monocytes that lie within such SEs. In macrophages and Th17 cells, inflammatory SEs can be perturbed either genetically or pharmacologically thus revealing new avenues to target inflammation. CONCLUSIONS: Our findings support the notion that P300-marked SEs can help identify key nodes of transcriptional control during cell fate decisions. The SE landscape changes drastically during cell differentiation and cell activation. As these processes are crucial in immune responses, SEs may be useful in revealing novel targets for treating inflammatory diseases.

Description

Keywords

Animals, E1A-Associated p300 Protein, Embryonic Stem Cells, Enhancer Elements, Genetic, Gene Expression Regulation, Humans, Mice, Quantitative Trait Loci

Journal Title

BMC Genomics

Conference Name

Journal ISSN

1471-2164
1471-2164

Volume Title

16

Publisher

Springer Science and Business Media LLC