Literature DB >> 21795386

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

Weisheng Wu1, 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.   

Abstract

Interplays among lineage-specific nuclear proteins, chromatin modifying enzymes, and the basal transcription machinery govern cellular differentiation, but their dynamics of action and coordination with transcriptional control are not fully understood. Alterations in chromatin structure appear to establish a permissive state for gene activation at some loci, but they play an integral role in activation at other loci. To determine the predominant roles of chromatin states and factor occupancy in directing gene regulation during differentiation, we mapped chromatin accessibility, histone modifications, and nuclear factor occupancy genome-wide during mouse erythroid differentiation dependent on the master regulatory transcription factor GATA1. Notably, despite extensive changes in gene expression, the chromatin state profiles (proportions of a gene in a chromatin state dominated by activating or repressive histone modifications) and accessibility remain largely unchanged during GATA1-induced erythroid differentiation. In contrast, gene induction and repression are strongly associated with changes in patterns of transcription factor occupancy. Our results indicate that during erythroid differentiation, the broad features of chromatin states are established at the stage of lineage commitment, largely independently of GATA1. These determine permissiveness for expression, with subsequent induction or repression mediated by distinctive combinations of transcription factors.

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Year:  2011        PMID: 21795386      PMCID: PMC3202283          DOI: 10.1101/gr.125088.111

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


  62 in total

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Journal:  Cell       Date:  2008-01-25       Impact factor: 41.582

Review 2.  Sequence census methods for functional genomics.

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

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

Authors:  Tamara Tripic; Wulan Deng; Yong Cheng; Ying Zhang; Christopher R Vakoc; Gregory D Gregory; Ross C Hardison; Gerd A Blobel
Journal:  Blood       Date:  2008-11-14       Impact factor: 22.113

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

Authors:  Yong Cheng; 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
Journal:  Genome Res       Date:  2008-09-25       Impact factor: 9.043

5.  Interaction of the glucocorticoid receptor with the chromatin landscape.

Authors:  Sam John; Peter J Sabo; Thomas A Johnson; Myong-Hee Sung; Simon C Biddie; Stafford L Lightman; Ty C Voss; Sean R Davis; Paul S Meltzer; John A Stamatoyannopoulos; Gordon L Hager
Journal:  Mol Cell       Date:  2008-03-14       Impact factor: 17.970

6.  F-Seq: a feature density estimator for high-throughput sequence tags.

Authors:  Alan P Boyle; Justin Guinney; Gregory E Crawford; Terrence S Furey
Journal:  Bioinformatics       Date:  2008-09-10       Impact factor: 6.937

7.  The transcriptional program controlled by the stem cell leukemia gene Scl/Tal1 during early embryonic hematopoietic development.

Authors:  Nicola K Wilson; Diego Miranda-Saavedra; Sarah Kinston; Nicolas Bonadies; Samuel D Foster; Fernando Calero-Nieto; Mark A Dawson; Ian J Donaldson; Stephanie Dumon; Jonathan Frampton; Rekin's Janky; Xiao-Hong Sun; Sarah A Teichmann; Andrew J Bannister; Berthold Göttgens
Journal:  Blood       Date:  2009-04-03       Impact factor: 22.113

8.  Molecular hallmarks of endogenous chromatin complexes containing master regulators of hematopoiesis.

Authors:  Ryan J Wozniak; Sunduz Keles; Jesse J Lugus; Ken H Young; Meghan E Boyer; Tuan M Tran; Kyunghee Choi; Emery H Bresnick
Journal:  Mol Cell Biol       Date:  2008-09-08       Impact factor: 4.272

9.  Differential use of SCL/TAL-1 DNA-binding domain in developmental hematopoiesis.

Authors:  Mira T Kassouf; Hedia Chagraoui; Paresh Vyas; Catherine Porcher
Journal:  Blood       Date:  2008-06-12       Impact factor: 22.113

10.  Model-based analysis of ChIP-Seq (MACS).

Authors:  Yong Zhang; Tao Liu; Clifford A Meyer; Jérôme Eeckhoute; David S Johnson; Bradley E Bernstein; Chad Nusbaum; Richard M Myers; Myles Brown; Wei Li; X Shirley Liu
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  89 in total

1.  An effective statistical evaluation of ChIPseq dataset similarity.

Authors:  Maria D Chikina; Olga G Troyanskaya
Journal:  Bioinformatics       Date:  2012-01-19       Impact factor: 6.937

Review 2.  Epigenetic memories: structural marks or active circuits?

Authors:  Floriane Nicol-Benoît; Pascale Le-Goff; Yves Le-Dréan; Florence Demay; Farzad Pakdel; Gilles Flouriot; Denis Michel
Journal:  Cell Mol Life Sci       Date:  2012-02-14       Impact factor: 9.261

Review 3.  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

4.  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

5.  Cofactor-mediated restriction of GATA-1 chromatin occupancy coordinates lineage-specific gene expression.

Authors:  Timothy M Chlon; Louis C Doré; John D Crispino
Journal:  Mol Cell       Date:  2012-07-05       Impact factor: 17.970

Review 6.  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

7.  Global discovery of erythroid long noncoding RNAs reveals novel regulators of red cell maturation.

Authors:  Juan R Alvarez-Dominguez; Wenqian Hu; Bingbing Yuan; Jiahai Shi; Staphany S Park; Austin A Gromatzky; Alexander van Oudenaarden; Harvey F Lodish
Journal:  Blood       Date:  2013-11-07       Impact factor: 22.113

8.  Global transcriptome and chromatin occupancy analysis reveal the short isoform of GATA1 is deficient for erythroid specification and gene expression.

Authors:  Timothy M Chlon; Maureen McNulty; Benjamin Goldenson; Alexander Rosinski; John D Crispino
Journal:  Haematologica       Date:  2015-02-14       Impact factor: 9.941

Review 9.  ChIP-seq and beyond: new and improved methodologies to detect and characterize protein-DNA interactions.

Authors:  Terrence S Furey
Journal:  Nat Rev Genet       Date:  2012-10-23       Impact factor: 53.242

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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