Literature DB >> 18818370

Transcriptional enhancement by GATA1-occupied DNA segments is strongly associated with evolutionary constraint on the binding site motif.

Yong Cheng1, David C King, Louis C Dore, Xinmin Zhang, Yuepin Zhou, Ying Zhang, Christine Dorman, Demesew Abebe, Swathi A Kumar, Francesca Chiaromonte, Webb Miller, Roland D Green, Mitchell J Weiss, Ross C Hardison.   

Abstract

Tissue development and function are exquisitely dependent on proper regulation of gene expression, but it remains controversial whether the genomic signals controlling this process are subject to strong selective constraint. While some studies show that highly constrained noncoding regions act to enhance transcription, other studies show that DNA segments with biochemical signatures of regulatory regions, such as occupancy by a transcription factor, are seemingly unconstrained across mammalian evolution. To test the possible correlation of selective constraint with enhancer activity, we used chromatin immunoprecipitation as an approach unbiased by either evolutionary constraint or prior knowledge of regulatory activity to identify DNA segments within a 66-Mb region of mouse chromosome 7 that are occupied by the erythroid transcription factor GATA1. DNA segments bound by GATA1 were identified by hybridization to high-density tiling arrays, validated by quantitative PCR, and tested for gene regulatory activity in erythroid cells. Whereas almost all of the occupied segments contain canonical WGATAR binding site motifs for GATA1, in only 45% of the cases is the motif deeply preserved (found at the orthologous position in placental mammals or more distant species). However, GATA1-bound segments with high enhancer activity tend to be the ones with an evolutionarily preserved WGATAR motif, and this relationship was confirmed by a loss-of-function assay. Thus, GATA1 binding sites that regulate gene expression during erythroid maturation are under strong selective constraint, while nonconstrained binding may have only a limited or indirect role in regulation.

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Year:  2008        PMID: 18818370      PMCID: PMC2593580          DOI: 10.1101/gr.083089.108

Source DB:  PubMed          Journal:  Genome Res        ISSN: 1088-9051            Impact factor:   9.043


  63 in total

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2.  Developmentally dynamic histone acetylation pattern of a tissue-specific chromatin domain.

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5.  Conserved noncoding sequences are reliable guides to regulatory elements.

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Journal:  Trends Genet       Date:  2000-09       Impact factor: 11.639

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  26 in total

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Authors:  Matthew J Blow; David J McCulley; Zirong Li; Tao Zhang; Jennifer A Akiyama; Amy Holt; Ingrid Plajzer-Frick; Malak Shoukry; Crystal Wright; Feng Chen; Veena Afzal; James Bristow; Bing Ren; Brian L Black; Edward M Rubin; Axel Visel; Len A Pennacchio
Journal:  Nat Genet       Date:  2010-08-22       Impact factor: 38.330

2.  SCL and associated proteins distinguish active from repressive GATA transcription factor complexes.

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3.  Chromatin architecture and transcription factor binding regulate expression of erythrocyte membrane protein genes.

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Journal:  Mol Cell Biol       Date:  2009-08-17       Impact factor: 4.272

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Journal:  Mol Cell       Date:  2009-11-25       Impact factor: 17.970

5.  Dynamics of the epigenetic landscape during erythroid differentiation after GATA1 restoration.

Authors:  Weisheng Wu; Yong Cheng; Cheryl A Keller; Jason Ernst; Swathi Ashok Kumar; Tejaswini Mishra; Christapher Morrissey; Christine M Dorman; Kuan-Bei Chen; Daniela Drautz; Belinda Giardine; Yoichiro Shibata; Lingyun Song; Max Pimkin; Gregory E Crawford; Terrence S Furey; Manolis Kellis; Webb Miller; James Taylor; Stephan C Schuster; Yu Zhang; Francesca Chiaromonte; Gerd A Blobel; Mitchell J Weiss; Ross C Hardison
Journal:  Genome Res       Date:  2011-07-27       Impact factor: 9.043

Review 6.  Dissecting the regulatory switches of development: lessons from enhancer evolution in Drosophila.

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7.  ChIP-seq accurately predicts tissue-specific activity of enhancers.

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8.  A varying threshold method for ChIP peak-calling using multiple sources of information.

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Journal:  Bioinformatics       Date:  2010-09-15       Impact factor: 6.937

9.  Erythroid GATA1 function revealed by genome-wide analysis of transcription factor occupancy, histone modifications, and mRNA expression.

Authors:  Yong Cheng; Weisheng Wu; Swathi Ashok Kumar; Duonan Yu; Wulan Deng; Tamara Tripic; David C King; Kuan-Bei Chen; Ying Zhang; Daniela Drautz; Belinda Giardine; Stephan C Schuster; Webb Miller; Francesca Chiaromonte; Yu Zhang; Gerd A Blobel; Mitchell J Weiss; Ross C Hardison
Journal:  Genome Res       Date:  2009-11-03       Impact factor: 9.043

10.  Primary sequence and epigenetic determinants of in vivo occupancy of genomic DNA by GATA1.

Authors:  Ying Zhang; Weisheng Wu; Yong Cheng; David C King; Robert S Harris; James Taylor; Francesca Chiaromonte; Ross C Hardison
Journal:  Nucleic Acids Res       Date:  2009-11       Impact factor: 16.971

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