Literature DB >> 24685159

Hormone-responsive enhancer-activity maps reveal predictive motifs, indirect repression, and targeting of closed chromatin.

Daria Shlyueva1, Christoph Stelzer1, Daniel Gerlach1, J Omar Yáñez-Cuna1, Martina Rath1, Łukasz M Boryń1, Cosmas D Arnold1, Alexander Stark2.   

Abstract

Steroid hormones act as important developmental switches, and their nuclear receptors regulate many genes. However, few hormone-dependent enhancers have been characterized, and important aspects of their sequence architecture, cell-type-specific activating and repressing functions, or the regulatory roles of their chromatin structure have remained unclear. We used STARR-seq, a recently developed enhancer-screening assay, and ecdysone signaling in two different Drosophila cell types to derive genome-wide hormone-dependent enhancer-activity maps. We demonstrate that enhancer activation depends on cis-regulatory motif combinations that differ between cell types and can predict cell-type-specific ecdysone targeting. Activated enhancers are often not accessible prior to induction. Enhancer repression following hormone treatment seems independent of receptor motifs and receptor binding to the enhancer, as we show using ChIP-seq, but appears to rely on motifs for other factors, including Eip74. Our strategy is applicable to study signal-dependent enhancers for different pathways and across organisms.
Copyright © 2014 Elsevier Inc. All rights reserved.

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Year:  2014        PMID: 24685159     DOI: 10.1016/j.molcel.2014.02.026

Source DB:  PubMed          Journal:  Mol Cell        ISSN: 1097-2765            Impact factor:   17.970


  64 in total

1.  The Development of Reporter System for the Investigation of Molecular Mechanisms of Ecdysone Response.

Authors:  M Yu Mazina; A N Krasnov; P G Georgiev; N E Vorobyeva
Journal:  Dokl Biochem Biophys       Date:  2019-06-14       Impact factor: 0.788

Review 2.  Nuclear Receptor Function through Genomics: Lessons from the Glucocorticoid Receptor.

Authors:  Daniel M Cohen; David J Steger
Journal:  Trends Endocrinol Metab       Date:  2017-05-08       Impact factor: 12.015

3.  Importance of miRNA stability and alternative primary miRNA isoforms in gene regulation during Drosophila development.

Authors:  Li Zhou; Mandy Yu Theng Lim; Prameet Kaur; Abil Saj; Diane Bortolamiol-Becet; Vikneswaran Gopal; Nicholas Tolwinski; Greg Tucker-Kellogg; Katsutomo Okamura
Journal:  Elife       Date:  2018-07-19       Impact factor: 8.140

Review 4.  Absence of a simple code: how transcription factors read the genome.

Authors:  Matthew Slattery; Tianyin Zhou; Lin Yang; Ana Carolina Dantas Machado; Raluca Gordân; Remo Rohs
Journal:  Trends Biochem Sci       Date:  2014-08-14       Impact factor: 13.807

Review 5.  Minireview: pioneer transcription factors in cell fate specification.

Authors:  Jacques Drouin
Journal:  Mol Endocrinol       Date:  2014-05-13

6.  Novel cis-regulatory regions in ecdysone responsive genes are sufficient to promote gene expression in Drosophila ovarian cells.

Authors:  Samantha I McDonald; Allison N Beachum; Taylor D Hinnant; Amelia J Blake; Tierra Bynum; E Parris Hickman; Joseph Barnes; Kaely L Churchill; Tamesia S Roberts; Denise E Zangwill; Elizabeth T Ables
Journal:  Gene Expr Patterns       Date:  2019-09-26       Impact factor: 1.224

7.  Abnormal PTPN11 enhancer methylation promotes rheumatoid arthritis fibroblast-like synoviocyte aggressiveness and joint inflammation.

Authors:  Keisuke Maeshima; Stephanie M Stanford; Deepa Hammaker; Cristiano Sacchetti; Li-Fan Zeng; Rizi Ai; Vida Zhang; David L Boyle; German R Aleman Muench; Gen-Sheng Feng; John W Whitaker; Zhong-Yin Zhang; Wei Wang; Nunzio Bottini; Gary S Firestein
Journal:  JCI Insight       Date:  2016-05-19

8.  Applying CRISPR-Cas9 tools to identify and characterize transcriptional enhancers.

Authors:  Rui Lopes; Gozde Korkmaz; Reuven Agami
Journal:  Nat Rev Mol Cell Biol       Date:  2016-07-06       Impact factor: 94.444

9.  Endocrine network essential for reproductive success in Drosophila melanogaster.

Authors:  Matthew Meiselman; Sang Soo Lee; Raymond-Tan Tran; Hongjiu Dai; Yike Ding; Crisalejandra Rivera-Perez; Thilini P Wijesekera; Brigitte Dauwalder; Fernando Gabriel Noriega; Michael E Adams
Journal:  Proc Natl Acad Sci U S A       Date:  2017-04-24       Impact factor: 11.205

10.  Pan-cancer analyses of the nuclear receptor superfamily.

Authors:  Mark D Long; Moray J Campbell
Journal:  Nucl Receptor Res       Date:  2015-12-15
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