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Wu W, Cheng Y, Keller CA, Ernst J, Kumar SA, Mishra T, Morrissey C, Dorman CM, Chen KB, Drautz D, Giardine B, Shibata Y, Song L, Pimkin M, Crawford GE, Furey TS, Kellis M, Miller W, Taylor J, Schuster SC, Zhang Y, Chiaromonte F, Blobel GA, Weiss MJ, Hardison RC. Dynamics of the epigenetic landscape during erythroid differentiation after GATA1 restoration. Genome Res 2011; 21:1659-71. [PMID: 21795386 DOI: 10.1101/gr.125088.111] [Citation(s) in RCA: 100] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
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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Affiliation(s)
- Weisheng Wu
- Center for Comparative Genomics and Bioinformatics, Pennsylvania State University, University Park, Pennsylvania 16802, USA
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Cheng Y, Wu W, Ashok Kumar S, Yu D, Deng W, Tripic T, King DC, Chen KB, Zhang Y, Drautz D, Giardine B, Schuster SC, Miller W, Chiaromonte F, Zhang Y, Blobel GA, Weiss MJ, Hardison RC. Erythroid GATA1 function revealed by genome-wide analysis of transcription factor occupancy, histone modifications, and mRNA expression. Genome Res 2009; 19:2172-84. [PMID: 19887574 PMCID: PMC2792182 DOI: 10.1101/gr.098921.109] [Citation(s) in RCA: 170] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2009] [Accepted: 10/05/2009] [Indexed: 11/24/2022]
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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Affiliation(s)
- Yong Cheng
- Center for Comparative Genomics and Bioinformatics of the Huck Institutes of Life Sciences, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
- Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Weisheng Wu
- Center for Comparative Genomics and Bioinformatics of the Huck Institutes of Life Sciences, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
- Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Swathi Ashok Kumar
- Center for Comparative Genomics and Bioinformatics of the Huck Institutes of Life Sciences, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
- Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Duonan Yu
- Division of Hematology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA
| | - Wulan Deng
- Division of Hematology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA
| | - Tamara Tripic
- Division of Hematology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA
| | - David C. King
- Center for Comparative Genomics and Bioinformatics of the Huck Institutes of Life Sciences, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
- Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Kuan-Bei Chen
- Center for Comparative Genomics and Bioinformatics of the Huck Institutes of Life Sciences, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
- Department of Computer Science and Engineering, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Ying Zhang
- Center for Comparative Genomics and Bioinformatics of the Huck Institutes of Life Sciences, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
- Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Daniela Drautz
- Center for Comparative Genomics and Bioinformatics of the Huck Institutes of Life Sciences, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
- Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Belinda Giardine
- Center for Comparative Genomics and Bioinformatics of the Huck Institutes of Life Sciences, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Stephan C. Schuster
- Center for Comparative Genomics and Bioinformatics of the Huck Institutes of Life Sciences, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
- Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Webb Miller
- Center for Comparative Genomics and Bioinformatics of the Huck Institutes of Life Sciences, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
- Department of Computer Science and Engineering, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
- Department of Biology, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Francesca Chiaromonte
- Center for Comparative Genomics and Bioinformatics of the Huck Institutes of Life Sciences, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
- Department of Statistics, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Yu Zhang
- Center for Comparative Genomics and Bioinformatics of the Huck Institutes of Life Sciences, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
- Department of Statistics, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Gerd A. Blobel
- Division of Hematology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA
| | - Mitchell J. Weiss
- Division of Hematology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA
| | - Ross C. Hardison
- Center for Comparative Genomics and Bioinformatics of the Huck Institutes of Life Sciences, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
- Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
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