Literature DB >> 19887574

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

Yong Cheng1, 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.   

Abstract

The transcription factor GATA1 regulates an extensive program of gene activation and repression during erythroid development. However, the associated mechanisms, including the contributions of distal versus proximal cis-regulatory modules, co-occupancy with other transcription factors, and the effects of histone modifications, are poorly understood. We studied these problems genome-wide in a Gata1 knockout erythroblast cell line that undergoes GATA1-dependent terminal maturation, identifying 2616 GATA1-responsive genes and 15,360 GATA1-occupied DNA segments after restoration of GATA1. Virtually all occupied DNA segments have high levels of H3K4 monomethylation and low levels of H3K27me3 around the canonical GATA binding motif, regardless of whether the nearby gene is induced or repressed. Induced genes tend to be bound by GATA1 close to the transcription start site (most frequently in the first intron), have multiple GATA1-occupied segments that are also bound by TAL1, and show evolutionary constraint on the GATA1-binding site motif. In contrast, repressed genes are further away from GATA1-occupied segments, and a subset shows reduced TAL1 occupancy and increased H3K27me3 at the transcription start site. Our data expand the repertoire of GATA1 action in erythropoiesis by defining a new cohort of target genes and determining the spatial distribution of cis-regulatory modules throughout the genome. In addition, we begin to establish functional criteria and mechanisms that distinguish GATA1 activation from repression at specific target genes. More broadly, these studies illustrate how a "master regulator" transcription factor coordinates tissue differentiation through a panoply of DNA and protein interactions.

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Year:  2009        PMID: 19887574      PMCID: PMC2792182          DOI: 10.1101/gr.098921.109

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


  54 in total

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Journal:  Genome Res       Date:  2007-11-07       Impact factor: 9.043

2.  ChIP-chip: data, model, and analysis.

Authors:  Ming Zheng; Leah O Barrera; Bing Ren; Ying Nian Wu
Journal:  Biometrics       Date:  2007-09       Impact factor: 2.571

3.  A GATA-1-regulated microRNA locus essential for erythropoiesis.

Authors:  Louis C Dore; Julio D Amigo; Camila O Dos Santos; Zhe Zhang; Xiaowu Gai; John W Tobias; Duonan Yu; Alyssa M Klein; Christine Dorman; Weisheng Wu; Ross C Hardison; Barry H Paw; Mitchell J Weiss
Journal:  Proc Natl Acad Sci U S A       Date:  2008-02-26       Impact factor: 11.205

4.  Systematic evaluation of variability in ChIP-chip experiments using predefined DNA targets.

Authors:  David S Johnson; Wei Li; D Benjamin Gordon; Arindam Bhattacharjee; Bo Curry; Jayati Ghosh; Leonardo Brizuela; Jason S Carroll; Myles Brown; Paul Flicek; Christoph M Koch; Ian Dunham; Mark Bieda; Xiaoqin Xu; Peggy J Farnham; Philipp Kapranov; David A Nix; Thomas R Gingeras; Xinmin Zhang; Heather Holster; Nan Jiang; Roland D Green; Jun S Song; Scott A McCuine; Elizabeth Anton; Loan Nguyen; Nathan D Trinklein; Zhen Ye; Keith Ching; David Hawkins; Bing Ren; Peter C Scacheri; Joel Rozowsky; Alexander Karpikov; Ghia Euskirchen; Sherman Weissman; Mark Gerstein; Michael Snyder; Annie Yang; Zarmik Moqtaderi; Heather Hirsch; Hennady P Shulha; Yutao Fu; Zhiping Weng; Kevin Struhl; Richard M Myers; Jason D Lieb; X Shirley Liu
Journal:  Genome Res       Date:  2008-02-07       Impact factor: 9.043

Review 5.  Sequence census methods for functional genomics.

Authors:  Barbara Wold; Richard M Myers
Journal:  Nat Methods       Date:  2007-12-19       Impact factor: 28.547

6.  Distinct and predictive chromatin signatures of transcriptional promoters and enhancers in the human genome.

Authors:  Nathaniel D Heintzman; Rhona K Stuart; Gary Hon; Yutao Fu; Christina W Ching; R David Hawkins; Leah O Barrera; Sara Van Calcar; Chunxu Qu; Keith A Ching; Wei Wang; Zhiping Weng; Roland D Green; Gregory E Crawford; Bing Ren
Journal:  Nat Genet       Date:  2007-02-04       Impact factor: 38.330

7.  Finding cis-regulatory elements using comparative genomics: some lessons from ENCODE data.

Authors:  David C King; James Taylor; Ying Zhang; Yong Cheng; Heather A Lawson; Joel Martin; Francesca Chiaromonte; Webb Miller; Ross C Hardison
Journal:  Genome Res       Date:  2007-06       Impact factor: 9.043

8.  Genome-wide profiles of STAT1 DNA association using chromatin immunoprecipitation and massively parallel sequencing.

Authors:  Gordon Robertson; Martin Hirst; Matthew Bainbridge; Misha Bilenky; Yongjun Zhao; Thomas Zeng; Ghia Euskirchen; Bridget Bernier; Richard Varhol; Allen Delaney; Nina Thiessen; Obi L Griffith; Ann He; Marco Marra; Michael Snyder; Steven Jones
Journal:  Nat Methods       Date:  2007-06-11       Impact factor: 28.547

9.  Myc dynamically and preferentially relocates to a transcription factory occupied by Igh.

Authors:  Cameron S Osborne; Lyubomira Chakalova; Jennifer A Mitchell; Alice Horton; Andrew L Wood; Daniel J Bolland; Anne E Corcoran; Peter Fraser
Journal:  PLoS Biol       Date:  2007-08       Impact factor: 8.029

10.  Determinants of cell- and gene-specific transcriptional regulation by the glucocorticoid receptor.

Authors:  Alex Yick-Lun So; Christina Chaivorapol; Eric C Bolton; Hao Li; Keith R Yamamoto
Journal:  PLoS Genet       Date:  2007-06       Impact factor: 5.917

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  130 in total

1.  A core erythroid transcriptional network is repressed by a master regulator of myelo-lymphoid differentiation.

Authors:  Sandeep N Wontakal; Xingyi Guo; Cameron Smith; Thomas MacCarthy; Emery H Bresnick; Aviv Bergman; Michael P Snyder; Sherman M Weissman; Deyou Zheng; Arthur I Skoultchi
Journal:  Proc Natl Acad Sci U S A       Date:  2012-02-22       Impact factor: 11.205

Review 2.  From stem cell to red cell: regulation of erythropoiesis at multiple levels by multiple proteins, RNAs, and chromatin modifications.

Authors:  Shilpa M Hattangadi; Piu Wong; Lingbo Zhang; Johan Flygare; Harvey F Lodish
Journal:  Blood       Date:  2011-10-12       Impact factor: 22.113

3.  Transcriptional silencing of {gamma}-globin by BCL11A involves long-range interactions and cooperation with SOX6.

Authors:  Jian Xu; Vijay G Sankaran; Min Ni; Tobias F Menne; Rishi V Puram; Woojin Kim; Stuart H Orkin
Journal:  Genes Dev       Date:  2010-04-15       Impact factor: 11.361

4.  A global role for KLF1 in erythropoiesis revealed by ChIP-seq in primary erythroid cells.

Authors:  Michael R Tallack; Tom Whitington; Wai Shan Yuen; Elanor N Wainwright; Janelle R Keys; Brooke B Gardiner; Ehsan Nourbakhsh; Nicole Cloonan; Sean M Grimmond; Timothy L Bailey; Andrew C Perkins
Journal:  Genome Res       Date:  2010-05-27       Impact factor: 9.043

5.  Integrating one-dimensional and three-dimensional maps of genomes.

Authors:  Natalia Naumova; Job Dekker
Journal:  J Cell Sci       Date:  2010-06-15       Impact factor: 5.285

6.  Genome-wide identification of TAL1's functional targets: insights into its mechanisms of action in primary erythroid cells.

Authors:  Mira T Kassouf; Jim R Hughes; Stephen Taylor; Simon J McGowan; Shamit Soneji; Angela L Green; Paresh Vyas; Catherine Porcher
Journal:  Genome Res       Date:  2010-06-21       Impact factor: 9.043

7.  GATA-1 utilizes Ikaros and polycomb repressive complex 2 to suppress Hes1 and to promote erythropoiesis.

Authors:  Julie Ross; Lionel Mavoungou; Emery H Bresnick; Eric Milot
Journal:  Mol Cell Biol       Date:  2012-07-09       Impact factor: 4.272

8.  TMEM14C is required for erythroid mitochondrial heme metabolism.

Authors:  Yvette Y Yien; Raymond F Robledo; Iman J Schultz; Naoko Takahashi-Makise; Babette Gwynn; Daniel E Bauer; Abhishek Dass; Gloria Yi; Liangtao Li; Gordon J Hildick-Smith; Jeffrey D Cooney; Eric L Pierce; Kyla Mohler; Tamara A Dailey; Non Miyata; Paul D Kingsley; Caterina Garone; Shilpa M Hattangadi; Hui Huang; Wen Chen; Ellen M Keenan; Dhvanit I Shah; Thorsten M Schlaeger; Salvatore DiMauro; Stuart H Orkin; Alan B Cantor; James Palis; Carla M Koehler; Harvey F Lodish; Jerry Kaplan; Diane M Ward; Harry A Dailey; John D Phillips; Luanne L Peters; Barry H Paw
Journal:  J Clin Invest       Date:  2014-08-26       Impact factor: 14.808

Review 9.  Transcriptional mechanisms underlying hemoglobin synthesis.

Authors:  Koichi R Katsumura; Andrew W DeVilbiss; Nathaniel J Pope; Kirby D Johnson; Emery H Bresnick
Journal:  Cold Spring Harb Perspect Med       Date:  2013-09-01       Impact factor: 6.915

10.  Tissue-specific mitotic bookmarking by hematopoietic transcription factor GATA1.

Authors:  Stephan Kadauke; Maheshi I Udugama; Jan M Pawlicki; Jordan C Achtman; Deepti P Jain; Yong Cheng; Ross C Hardison; Gerd A Blobel
Journal:  Cell       Date:  2012-08-17       Impact factor: 41.582

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