Models of human core transcriptional regulatory circuitries
Name
Saint-Andre-2016-Models of human core.pdf
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1.55 MB
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Author(s)
Saint-André, Violaine
Federation, Alexander J.
Lin, Charles Y.
Abraham, Brian J.
Lee, Tong Ihn
Bradner, James E.
Reddy, Jessica
Young, Richard A.
Date Issued
March 2016
Journal
Genome Research
Publisher
Cold Spring Harbor Laboratory Press
Citation
Saint-André, Violaine, Alexander J. Federation, Charles Y. Lin, Brian J. Abraham, Jessica Reddy, Tong Ihn Lee, James E. Bradner, and Richard A. Young. “Models of Human Core Transcriptional Regulatory Circuitries.” Genome Res. 26, no. 3 (February 3, 2016): 385–396.
Version
Final published version
Abstract
A small set of core transcription factors (TFs) dominates control of the gene expression program in embryonic stem cells and other well-studied cellular models. These core TFs collectively regulate their own gene expression, thus forming an interconnected auto-regulatory loop that can be considered the core transcriptional regulatory circuitry (CRC) for that cell type. There is limited knowledge of core TFs, and thus models of core regulatory circuitry, for most cell types. We recently discovered that genes encoding known core TFs forming CRCs are driven by super-enhancers, which provides an opportunity to systematically predict CRCs in poorly studied cell types through super-enhancer mapping. Here, we use super-enhancer maps to generate CRC models for 75 human cell and tissue types. These core circuitry models should prove valuable for further investigating cell-type–specific transcriptional regulation in healthy and diseased cells.
MIT Department
Massachusetts Institute of Technology. Department of Biology
Terms of Use
This article is distributed exclusively by Cold Spring Harbor Laboratory Press for the first six months after the full-issue publication date (see http://genome.cshlp.org/site/misc/terms.xhtml). After six months, it is available under a Creative Commons License (Attribution-NonCommercial 4.0 International), as described at http://creativecommons.org/licenses/by-nc/4.0/.
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DOI of Published Version
https://doi.org/10.1101/gr.197590.115
