1
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Xiang G, He X, Giardine BM, Isaac KJ, Taylor DJ, McCoy RC, Jansen C, Keller CA, Wixom AQ, Cockburn A, Miller A, Qi Q, He Y, Li Y, Lichtenberg J, Heuston EF, Anderson SM, Luan J, Vermunt MW, Yue F, Sauria ME, Schatz MC, Taylor J, Göttgens B, Hughes JR, Higgs DR, Weiss MJ, Cheng Y, Blobel GA, Bodine DM, Zhang Y, Li Q, Mahony S, Hardison RC. Interspecies regulatory landscapes and elements revealed by novel joint systematic integration of human and mouse blood cell epigenomes. bioRxiv 2024:2023.04.02.535219. [PMID: 37066352 PMCID: PMC10103973 DOI: 10.1101/2023.04.02.535219] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
Knowledge of locations and activities of cis-regulatory elements (CREs) is needed to decipher basic mechanisms of gene regulation and to understand the impact of genetic variants on complex traits. Previous studies identified candidate CREs (cCREs) using epigenetic features in one species, making comparisons difficult between species. In contrast, we conducted an interspecies study defining epigenetic states and identifying cCREs in blood cell types to generate regulatory maps that are comparable between species, using integrative modeling of eight epigenetic features jointly in human and mouse in our Validated Systematic Integration (VISION) Project. The resulting catalogs of cCREs are useful resources for further studies of gene regulation in blood cells, indicated by high overlap with known functional elements and strong enrichment for human genetic variants associated with blood cell phenotypes. The contribution of each epigenetic state in cCREs to gene regulation, inferred from a multivariate regression, was used to estimate epigenetic state Regulatory Potential (esRP) scores for each cCRE in each cell type, which were used to categorize dynamic changes in cCREs. Groups of cCREs displaying similar patterns of regulatory activity in human and mouse cell types, obtained by joint clustering on esRP scores, harbored distinctive transcription factor binding motifs that were similar between species. An interspecies comparison of cCREs revealed both conserved and species-specific patterns of epigenetic evolution. Finally, we showed that comparisons of the epigenetic landscape between species can reveal elements with similar roles in regulation, even in the absence of genomic sequence alignment.
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Affiliation(s)
- Guanjue Xiang
- Bioinformatics and Genomics Graduate Program, Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA 16802
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA 02215
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02215
| | - Xi He
- Bioinformatics and Genomics Graduate Program, Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA 16802
| | - Belinda M. Giardine
- Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA 16802
| | - Kathryn J. Isaac
- Department of Biology, Johns Hopkins University, Baltimore, MD 21218
| | - Dylan J. Taylor
- Department of Biology, Johns Hopkins University, Baltimore, MD 21218
| | - Rajiv C. McCoy
- Department of Biology, Johns Hopkins University, Baltimore, MD 21218
| | - Camden Jansen
- Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA 16802
| | - Cheryl A. Keller
- Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA 16802
| | - Alexander Q. Wixom
- Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA 16802
| | - April Cockburn
- Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA 16802
| | - Amber Miller
- Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA 16802
| | - Qian Qi
- Department of Hematology, St. Jude Children’s Research Hospital, Memphis, TN 38105
| | - Yanghua He
- Department of Hematology, St. Jude Children’s Research Hospital, Memphis, TN 38105
- Department of Human Nutrition, Food and Animal Sciences, University of Hawai`i at Mānoa, Honolulu, HI 96822, USA
| | - Yichao Li
- Department of Hematology, St. Jude Children’s Research Hospital, Memphis, TN 38105
| | - Jens Lichtenberg
- Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda, MD 20892
| | - Elisabeth F. Heuston
- Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda, MD 20892
| | - Stacie M. Anderson
- Flow Cytometry Core, National Human Genome Research Institute, Bethesda, MD 20892
| | - Jing Luan
- Department of Pediatrics, Children’s Hospital of Philadelphia, and Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104
| | - Marit W. Vermunt
- Department of Pediatrics, Children’s Hospital of Philadelphia, and Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104
| | - Feng Yue
- Department of Biochemistry and Molecular Genetics, Feinberg School of Medicine, Northwestern University, Evanston, IL 60611
| | - Michael E.G. Sauria
- Department of Computer Science, Johns Hopkins University, Baltimore, MD 21218
| | - Michael C. Schatz
- Department of Computer Science, Johns Hopkins University, Baltimore, MD 21218
| | - James Taylor
- Department of Biology, Johns Hopkins University, Baltimore, MD 21218
- Department of Computer Science, Johns Hopkins University, Baltimore, MD 21218
| | - Berthold Göttgens
- Welcome and MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK
| | - Jim R. Hughes
- MRC Weatherall Institute of Molecular Medicine, Oxford University, Oxford, UK
| | - Douglas R. Higgs
- MRC Weatherall Institute of Molecular Medicine, Oxford University, Oxford, UK
| | - Mitchell J. Weiss
- Department of Hematology, St. Jude Children’s Research Hospital, Memphis, TN 38105
| | - Yong Cheng
- Department of Hematology, St. Jude Children’s Research Hospital, Memphis, TN 38105
| | - Gerd A. Blobel
- Department of Pediatrics, Children’s Hospital of Philadelphia, and Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104
| | - David M. Bodine
- Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda, MD 20892
| | - Yu Zhang
- Department of Statistics, The Pennsylvania State University, University Park, PA 16802
| | - Qunhua Li
- Department of Statistics, The Pennsylvania State University, University Park, PA 16802
- Center for Computational Biology and Bioinformatics, Genome Sciences Institute, Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA 16802
| | - Shaun Mahony
- Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA 16802
- Center for Computational Biology and Bioinformatics, Genome Sciences Institute, Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA 16802
- Center for Eukaryotic Gene Regulation, The Pennsylvania State University, University Park, PA 16802
| | - Ross C. Hardison
- Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA 16802
- Center for Computational Biology and Bioinformatics, Genome Sciences Institute, Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA 16802
- Center for Eukaryotic Gene Regulation, The Pennsylvania State University, University Park, PA 16802
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Huang P, Peslak SA, Shehu V, Keller CA, Giardine BM, Shi J, Hardison RC, Blobel GA, Khandros E. Let-7 miRNAs repress HIC2 to regulate BCL11A transcription and hemoglobin switching. Blood 2024:blood.2023023399. [PMID: 38364109 DOI: 10.1182/blood.2023023399] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Revised: 02/01/2024] [Accepted: 02/02/2024] [Indexed: 02/18/2024] Open
Abstract
The switch from fetal (HBG) to adult (HBB) -globin gene transcription in erythroid cells serves as a paradigm for a complex, clinically relevant developmental gene regulatory program. We previously identified HIC2 as a regulator of the switch by inhibiting the transcription of BCL11A, a key repressor of HBG production. HIC2 is highly expressed in fetal cells but the mechanism of its regulation is unclear. Here we report that HIC2 developmental expression is controlled by miRNAs, as loss of global miRNA biogenesis through DICER1 depletion leads to upregulation of HIC2 and HBG mRNA. We identified the adult-expressed let-7 miRNA as a direct posttranscriptional regulator of HIC2. Ectopic expression of let-7 in fetal cells lowered HIC2 levels while inhibition of let-7 in adult erythroblasts increased HIC2 production, culminating in decommissioning of a BCL11A erythroid enhancer and reduced BCL11A transcription. HIC2 depletion in let-7-inhibited cells restored BCL11A-mediated repression of HBG. Together these data establish that fetal hemoglobin silencing in adult erythroid cells is under the control of a miRNA mediated inhibitory pathway (let-7 ⊣ HIC2 ⊣ BCL11A ⊣ HBG).
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Affiliation(s)
- Peng Huang
- Guangzhou Medical University, Guangzhou, China
| | - Scott A Peslak
- University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States
| | - Vanessa Shehu
- Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, United States
| | - Cheryl A Keller
- The Pennsylvania State University, University Park, Pennsylvania, United States
| | - Belinda M Giardine
- Pennsylvania State University, University Park, Pennsylvania, United States
| | - Junwei Shi
- University of Pennsylvania, Philadelphia, Pennsylvania, United States
| | - Ross C Hardison
- Pennsylvania State University, University Park, Pennsylvania, United States
| | - Gerd A Blobel
- The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, United States
| | - Eugene Khandros
- Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, United States
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3
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Zhao H, Lin Y, Lin E, Liu F, Shu L, Jing D, Wang B, Wang M, Shan F, Zhang L, Lam JC, Midla SC, Giardine BM, Keller CA, Hardison RC, Blobel GA, Zhang H. Genome folding principles revealed in condensin-depleted mitotic chromosomes. bioRxiv 2023:2023.11.09.566494. [PMID: 38014261 PMCID: PMC10680603 DOI: 10.1101/2023.11.09.566494] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Abstract
During mitosis, condensin activity interferes with interphase chromatin structures. Here, we generated condensin-free mitotic chromosomes to investigate genome folding principles. Co- depletion of condensin I and II, but neither alone, triggered mitotic chromosome compartmentalization in ways that differ from interphase. Two distinct euchromatic compartments, indistinguishable in interphase, rapidly emerged upon condensin loss with different interaction preferences and dependence on H3K27ac. Constitutive heterochromatin gradually self-aggregated and co-compartmentalized with the facultative heterochromatin, contrasting with their separation during interphase. While topologically associating domains (TADs) and CTCF/cohesin mediated structural loops remained undetectable, cis-regulatory element contacts became apparent, providing an explanation for their quick re-establishment during mitotic exit. HP1 proteins, which are thought to partition constitutive heterochromatin, were absent from mitotic chromosomes, suggesting, surprisingly, that constitutive heterochromatin can self-aggregate without HP1. Indeed, in cells traversing from M- to G1-phase in the combined absence of HP1α, HP1Π and HP1γ, re-established constitutive heterochromatin compartments normally. In sum, "clean-slate" condensin-deficient mitotic chromosomes illuminate mechanisms of genome compartmentalization not revealed in interphase cells.
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Huang P, Peslak SA, Ren R, Khandros E, Qin K, Keller CA, Giardine B, Bell HW, Lan X, Sharma M, Horton JR, Abdulmalik O, Chou ST, Shi J, Crossley M, Hardison RC, Cheng X, Blobel GA. Author Correction: HIC2 controls developmental hemoglobin switching by repressing BCL11A transcription. Nat Genet 2023; 55:1608. [PMID: 37524792 DOI: 10.1038/s41588-023-01488-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/02/2023]
Affiliation(s)
- Peng Huang
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.
| | - Scott A Peslak
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Division of Hematology/Oncology, Department of Medicine, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - Ren Ren
- Department of Epigenetics and Molecular Carcinogenesis, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Eugene Khandros
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Kunhua Qin
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Cheryl A Keller
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA, USA
- Genomics Research Incubator, Pennsylvania State University, University Park, PA, USA
| | - Belinda Giardine
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA, USA
| | - Henry W Bell
- School of Biotechnology and Biomolecular Sciences, UNSW Sydney, Sydney, New South Wales, Australia
| | - Xianjiang Lan
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Malini Sharma
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - John R Horton
- Department of Epigenetics and Molecular Carcinogenesis, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Osheiza Abdulmalik
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Stella T Chou
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Junwei Shi
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Merlin Crossley
- School of Biotechnology and Biomolecular Sciences, UNSW Sydney, Sydney, New South Wales, Australia
| | - Ross C Hardison
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA, USA
| | - Xiaodong Cheng
- Department of Epigenetics and Molecular Carcinogenesis, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Gerd A Blobel
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
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5
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Qin K, Lan X, Huang P, Saari MS, Khandros E, Keller CA, Giardine B, Abdulmalik O, Shi J, Hardison RC, Blobel GA. Molecular basis of polycomb group protein-mediated fetal hemoglobin repression. Blood 2023; 141:2756-2770. [PMID: 36893455 PMCID: PMC10273169 DOI: 10.1182/blood.2022019578] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [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: 12/27/2022] [Revised: 02/15/2023] [Accepted: 03/01/2023] [Indexed: 03/11/2023] Open
Abstract
The switch from fetal hemoglobin (HbF) to adult hemoglobin (HbA) is a paradigm for developmental gene expression control with relevance to sickle cell disease and β-thalassemia. Polycomb repressive complex (PRC) proteins regulate this switch, and an inhibitor of PRC2 has entered a clinical trial for HbF activation. Yet, how PRC complexes function in this process, their target genes, and relevant subunit composition are unknown. Here, we identified the PRC1 subunit BMI1 as a novel HbF repressor. We uncovered the RNA binding proteins LIN28B, IGF2BP1, and IGF2BP3 genes as direct BMI1 targets, and demonstrate that they account for the entirety of BMI1's effect on HbF regulation. BMI1 functions as part of the canonical PRC1 (cPRC1) subcomplex as revealed by the physical and functional dissection of BMI1 protein partners. Lastly, we demonstrate that BMI1/cPRC1 acts in concert with PRC2 to repress HbF through the same target genes. Our study illuminates how PRC silences HbF, highlighting an epigenetic mechanism involved in hemoglobin switching.
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Affiliation(s)
- Kunhua Qin
- Division of Hematology, Children’s Hospital of Philadelphia, Philadelphia, PA
| | - Xianjiang Lan
- Department of Systems Biology for Medicine, School of Basic Medical Sciences, Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Peng Huang
- Division of Hematology, Children’s Hospital of Philadelphia, Philadelphia, PA
| | - Megan S. Saari
- Division of Hematology, Children’s Hospital of Philadelphia, Philadelphia, PA
| | - Eugene Khandros
- Division of Hematology, Children’s Hospital of Philadelphia, Philadelphia, PA
| | - Cheryl A. Keller
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, State College, PA
| | - Belinda Giardine
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, State College, PA
| | - Osheiza Abdulmalik
- Division of Hematology, Children’s Hospital of Philadelphia, Philadelphia, PA
| | - Junwei Shi
- Department of Cancer Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Ross C. Hardison
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, State College, PA
| | - Gerd A. Blobel
- Division of Hematology, Children’s Hospital of Philadelphia, Philadelphia, PA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
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6
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Xiang G, Giardine B, An L, Sun C, Keller CA, Heuston EF, Anderson SM, Kirby M, Bodine D, Zhang Y, Hardison RC. Snapshot: a package for clustering and visualizing epigenetic history during cell differentiation. BMC Bioinformatics 2023; 24:102. [PMID: 36941541 PMCID: PMC10026520 DOI: 10.1186/s12859-023-05223-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Accepted: 03/07/2023] [Indexed: 03/23/2023] Open
Abstract
BACKGROUND Epigenetic modification of chromatin plays a pivotal role in regulating gene expression during cell differentiation. The scale and complexity of epigenetic data pose significant challenges for biologists to identify the regulatory events controlling cell differentiation. RESULTS To reduce the complexity, we developed a package, called Snapshot, for clustering and visualizing candidate cis-regulatory elements (cCREs) based on their epigenetic signals during cell differentiation. This package first introduces a binarized indexing strategy for clustering the cCREs. It then provides a series of easily interpretable figures for visualizing the signal and epigenetic state patterns of the cCREs clusters during the cell differentiation. It can also use different hierarchies of cell types to highlight the epigenetic history specific to any particular cell lineage. We demonstrate the utility of Snapshot using data from a consortium project for ValIdated Systematic IntegratiON (VISION) of epigenomic data in hematopoiesis. CONCLUSION The package Snapshot can identify all distinct clusters of genomic locations with unique epigenetic signal patterns during cell differentiation. It outperforms other methods in terms of interpreting and reproducing the identified cCREs clusters. The package of Snapshot is available at GitHub: https://github.com/guanjue/Snapshot .
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Affiliation(s)
- Guanjue Xiang
- The Bioinformatics and Genomics Program, Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA, USA.
| | - Belinda Giardine
- Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA, USA
| | - Lin An
- The Bioinformatics and Genomics Program, Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA, USA
| | - Chen Sun
- Department of Computer Science and Engineering, The Pennsylvania State University, University Park, PA, USA
| | - Cheryl A Keller
- Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA, USA
| | | | | | | | - David Bodine
- NHGRI Hematopoiesis Section, GMBB, Bethesda, MD, USA
| | - Yu Zhang
- Department of Statistics, The Pennsylvania State University, University Park, PA, USA
| | - Ross C Hardison
- Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA, USA.
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7
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Vermunt MW, Luan J, Zhang Z, Thrasher AJ, Huang A, Saari MS, Khandros E, Beagrie RA, Zhang S, Vemulamada P, Brilleman M, Lee K, Yano JA, Giardine BM, Keller CA, Hardison RC, Blobel GA. Gene silencing dynamics are modulated by transiently active regulatory elements. Mol Cell 2023; 83:715-730.e6. [PMID: 36868189 PMCID: PMC10719944 DOI: 10.1016/j.molcel.2023.02.006] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Revised: 12/05/2022] [Accepted: 02/03/2023] [Indexed: 03/05/2023]
Abstract
Transcriptional enhancers have been extensively characterized, but cis-regulatory elements involved in acute gene repression have received less attention. Transcription factor GATA1 promotes erythroid differentiation by activating and repressing distinct gene sets. Here, we study the mechanism by which GATA1 silences the proliferative gene Kit during murine erythroid cell maturation and define stages from initial loss of activation to heterochromatinization. We find that GATA1 inactivates a potent upstream enhancer but concomitantly creates a discrete intronic regulatory region marked by H3K27ac, short noncoding RNAs, and de novo chromatin looping. This enhancer-like element forms transiently and serves to delay Kit silencing. The element is ultimately erased via the FOG1/NuRD deacetylase complex, as revealed by the study of a disease-associated GATA1 variant. Hence, regulatory sites can be self-limiting by dynamic co-factor usage. Genome-wide analyses across cell types and species uncover transiently active elements at numerous genes during repression, suggesting that modulation of silencing kinetics is widespread.
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Affiliation(s)
- Marit W Vermunt
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.
| | - Jing Luan
- Medical Scientist Training Program, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Zhe Zhang
- Department of Biomedical and Health Informatics, The Children's Hospital of Pennsylvania, Philadelphia, PA 19104, USA
| | - A Josephine Thrasher
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Anran Huang
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Megan S Saari
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Eugene Khandros
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Robert A Beagrie
- Chromatin and Disease Group, Wellcome Centre for Human Genetics, Oxford OX3 7BN, UK
| | - Shiping Zhang
- Department of Biomedical and Health Informatics, The Children's Hospital of Pennsylvania, Philadelphia, PA 19104, USA
| | - Pranay Vemulamada
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Matilda Brilleman
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Kiwon Lee
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Jennifer A Yano
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Belinda M Giardine
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA 16802, USA
| | - Cheryl A Keller
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA 16802, USA
| | - Ross C Hardison
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA 16802, USA
| | - Gerd A Blobel
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.
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8
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Luan J, Vermunt MW, Syrett CM, Coté A, Tome JM, Zhang H, Huang A, Luppino JM, Keller CA, Giardine BM, Zhang S, Dunagin MC, Zhang Z, Joyce EF, Lis JT, Raj A, Hardison RC, Blobel GA. CTCF blocks antisense transcription initiation at divergent promoters. Nat Struct Mol Biol 2022; 29:1136-1144. [PMID: 36369346 DOI: 10.1101/2021.10.30.465508] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [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: 08/03/2021] [Accepted: 09/29/2022] [Indexed: 05/26/2023]
Abstract
Transcription at most promoters is divergent, initiating at closely spaced oppositely oriented core promoters to produce sense transcripts along with often unstable upstream antisense transcripts (uasTrx). How antisense transcription is regulated and to what extent it is coordinated with sense transcription is not well understood. Here, by combining acute degradation of the multi-functional transcription factor CTCF and nascent transcription measurements, we find that CTCF specifically suppresses antisense but not sense transcription at hundreds of divergent promoters. Primary transcript RNA-FISH shows that CTCF lowers burst fraction but not burst intensity of uasTrx and that co-bursting of sense and antisense transcripts is disfavored. Genome editing, chromatin conformation studies and high-resolution transcript mapping revealed that precisely positioned CTCF directly suppresses the initiation of uasTrx, in a manner independent of its architectural function. In sum, CTCF shapes the transcriptional landscape in part by suppressing upstream antisense transcription.
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Affiliation(s)
- Jing Luan
- Medical Scientist Training Program, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Marit W Vermunt
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Camille M Syrett
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Clarion Healthcare, LLC, Boston, MA, USA
| | - Allison Coté
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA
- Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
| | - Jacob M Tome
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY, USA
- Shape Therapeutics Inc, Seattle, WA, USA
| | - Haoyue Zhang
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Institute of Molecular Physiology, Shenzhen Bay Laboratory, Shenzhen, China
| | - Anran Huang
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Jennifer M Luppino
- Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
| | - Cheryl A Keller
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA, USA
| | - Belinda M Giardine
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA, USA
| | - Shiping Zhang
- Department of Biomedical and Health Informatics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Margaret C Dunagin
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA
| | - Zhe Zhang
- Department of Biomedical and Health Informatics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Eric F Joyce
- Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
| | - John T Lis
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY, USA
| | - Arjun Raj
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA
- Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
| | - Ross C Hardison
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA, USA
| | - Gerd A Blobel
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.
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9
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Luan J, Vermunt MW, Syrett CM, Coté A, Tome JM, Zhang H, Huang A, Luppino JM, Keller CA, Giardine BM, Zhang S, Dunagin MC, Zhang Z, Joyce EF, Lis JT, Raj A, Hardison RC, Blobel GA. CTCF blocks antisense transcription initiation at divergent promoters. Nat Struct Mol Biol 2022; 29:1136-1144. [PMID: 36369346 PMCID: PMC10015438 DOI: 10.1038/s41594-022-00855-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Accepted: 09/29/2022] [Indexed: 11/13/2022]
Abstract
Transcription at most promoters is divergent, initiating at closely spaced oppositely oriented core promoters to produce sense transcripts along with often unstable upstream antisense transcripts (uasTrx). How antisense transcription is regulated and to what extent it is coordinated with sense transcription is not well understood. Here, by combining acute degradation of the multi-functional transcription factor CTCF and nascent transcription measurements, we find that CTCF specifically suppresses antisense but not sense transcription at hundreds of divergent promoters. Primary transcript RNA-FISH shows that CTCF lowers burst fraction but not burst intensity of uasTrx and that co-bursting of sense and antisense transcripts is disfavored. Genome editing, chromatin conformation studies and high-resolution transcript mapping revealed that precisely positioned CTCF directly suppresses the initiation of uasTrx, in a manner independent of its architectural function. In sum, CTCF shapes the transcriptional landscape in part by suppressing upstream antisense transcription.
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Affiliation(s)
- Jing Luan
- Medical Scientist Training Program, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Marit W Vermunt
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Camille M Syrett
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.,Clarion Healthcare, LLC, Boston, MA, USA
| | - Allison Coté
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA.,Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
| | - Jacob M Tome
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY, USA.,Shape Therapeutics Inc, Seattle, WA, USA
| | - Haoyue Zhang
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.,Institute of Molecular Physiology, Shenzhen Bay Laboratory, Shenzhen, China
| | - Anran Huang
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Jennifer M Luppino
- Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
| | - Cheryl A Keller
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA, USA
| | - Belinda M Giardine
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA, USA
| | - Shiping Zhang
- Department of Biomedical and Health Informatics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Margaret C Dunagin
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA
| | - Zhe Zhang
- Department of Biomedical and Health Informatics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Eric F Joyce
- Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
| | - John T Lis
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY, USA
| | - Arjun Raj
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA.,Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
| | - Ross C Hardison
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA, USA
| | - Gerd A Blobel
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.
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10
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Huang P, Peslak SA, Ren R, Khandros E, Qin K, Keller CA, Giardine B, Bell HW, Lan X, Sharma M, Horton JR, Abdulmalik O, Chou ST, Shi J, Crossley M, Hardison RC, Cheng X, Blobel GA. HIC2 controls developmental hemoglobin switching by repressing BCL11A transcription. Nat Genet 2022; 54:1417-1426. [PMID: 35941187 PMCID: PMC9940634 DOI: 10.1038/s41588-022-01152-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Accepted: 07/05/2022] [Indexed: 02/02/2023]
Abstract
The fetal-to-adult switch in hemoglobin production is a model of developmental gene control with relevance to the treatment of hemoglobinopathies. The expression of transcription factor BCL11A, which represses fetal β-type globin (HBG) genes in adult erythroid cells, is predominantly controlled at the transcriptional level but the underlying mechanism is unclear. We identify HIC2 as a repressor of BCL11A transcription. HIC2 and BCL11A are reciprocally expressed during development. Forced expression of HIC2 in adult erythroid cells inhibits BCL11A transcription and induces HBG expression. HIC2 binds to erythroid BCL11A enhancers to reduce chromatin accessibility and binding of transcription factor GATA1, diminishing enhancer activity and enhancer-promoter contacts. DNA-binding and crystallography studies reveal direct steric hindrance as one mechanism by which HIC2 inhibits GATA1 binding at a critical BCL11A enhancer. Conversely, loss of HIC2 in fetal erythroblasts increases enhancer accessibility, GATA1 binding and BCL11A transcription. HIC2 emerges as an evolutionarily conserved regulator of hemoglobin switching via developmental control of BCL11A.
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Affiliation(s)
- Peng Huang
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.
| | - Scott A. Peslak
- Division of Hematology, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA.,Division of Hematology/Oncology, Department of Medicine, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - Ren Ren
- Department of Epigenetics and Molecular Carcinogenesis, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Eugene Khandros
- Division of Hematology, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - Kunhua Qin
- Division of Hematology, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - Cheryl A. Keller
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA, USA.,Genomics Research Incubator, Pennsylvania State University, University Park, PA, USA
| | - Belinda Giardine
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA, USA
| | - Henry W. Bell
- School of Biotechnology and Biomolecular Sciences, UNSW Sydney, Sydney, New South Wales, Australia
| | - Xianjiang Lan
- Division of Hematology, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - Malini Sharma
- Division of Hematology, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - John R. Horton
- Department of Epigenetics and Molecular Carcinogenesis, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Osheiza Abdulmalik
- Division of Hematology, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - Stella T. Chou
- Division of Hematology, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - Junwei Shi
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Merlin Crossley
- School of Biotechnology and Biomolecular Sciences, UNSW Sydney, Sydney, New South Wales, Australia
| | - Ross C. Hardison
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA, USA
| | - Xiaodong Cheng
- Department of Epigenetics and Molecular Carcinogenesis, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Gerd A. Blobel
- Division of Hematology, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA.,Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.,Correspondence and requests for materials should be addressed to Peng Huang or Gerd A. Blobel. ;
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11
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Qin K, Huang P, Feng R, Keller CA, Peslak SA, Khandros E, Saari MS, Lan X, Mayuranathan T, Doerfler PA, Abdulmalik O, Giardine B, Chou ST, Shi J, Hardison RC, Weiss MJ, Blobel GA. Publisher Correction: Dual function NFI factors control fetal hemoglobin silencing in adult erythroid cells. Nat Genet 2022; 54:906. [PMID: 35650318 DOI: 10.1038/s41588-022-01112-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- Kunhua Qin
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Peng Huang
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Ruopeng Feng
- Department of Hematology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Cheryl A Keller
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA, USA
| | - Scott A Peslak
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Division of Hematology/Oncology, Department of Medicine, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - Eugene Khandros
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Megan S Saari
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Xianjiang Lan
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Systems Biology for Medicine, School of Basic Medical Sciences, Fudan University, Shanghai, China
| | | | - Phillip A Doerfler
- Department of Hematology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Osheiza Abdulmalik
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Belinda Giardine
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA, USA
| | - Stella T Chou
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Junwei Shi
- Department of Cancer Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Ross C Hardison
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA, USA
| | - Mitchell J Weiss
- Department of Hematology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Gerd A Blobel
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
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12
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Qin K, Huang P, Feng R, Keller CA, Peslak SA, Khandros E, Saari MS, Lan X, Mayuranathan T, Doerfler PA, Abdulmalik O, Giardine B, Chou ST, Shi J, Hardison RC, Weiss MJ, Blobel GA. Dual function NFI factors control fetal hemoglobin silencing in adult erythroid cells. Nat Genet 2022; 54:874-884. [PMID: 35618846 PMCID: PMC9203980 DOI: 10.1038/s41588-022-01076-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Accepted: 04/08/2022] [Indexed: 12/13/2022]
Abstract
The mechanisms by which the fetal-type β-globin-like genes HBG1 and HBG2 are silenced in adult erythroid precursor cells remain a fundamental question in human biology and have therapeutic relevance to sickle cell disease (SCD) and β-thalassemia. Here, we identify via a CRISPR-Cas9 genetic screen two members of the NFI transcription factor family – NFIA and NFIX – as HBG1/2 repressors. NFIA and NFIX are expressed at elevated levels in adult erythroid cells compared to fetal cells, and function cooperatively to repress HBG1/2 in cultured cells and in human-to-mouse xenotransplants. Genomic profiling, genome editing, and DNA binding assays demonstrate that the potent concerted activity of NFIA and NFIX is explained in part by their ability to stimulate the expression of BCL11A, a known silencer of the HBG1/2 genes, and in part by directly repressing the HBG1/2 genes. Thus, NFI factors emerge as versatile regulators of the fetal-to-adult switch in β-globin production.
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Affiliation(s)
- Kunhua Qin
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Peng Huang
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Ruopeng Feng
- Department of Hematology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Cheryl A Keller
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA, USA
| | - Scott A Peslak
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.,Division of Hematology/Oncology, Department of Medicine, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - Eugene Khandros
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Megan S Saari
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Xianjiang Lan
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.,Department of Systems Biology for Medicine, School of Basic Medical Sciences, Fudan University, Shanghai, China
| | | | - Phillip A Doerfler
- Department of Hematology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Osheiza Abdulmalik
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Belinda Giardine
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA, USA
| | - Stella T Chou
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Junwei Shi
- Department of Cancer Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Ross C Hardison
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA, USA
| | - Mitchell J Weiss
- Department of Hematology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Gerd A Blobel
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA. .,Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
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13
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Hardison RC, Xiang G, Jansen C, Keller CA, Giardine BM, Cockburn A, He X, Sauria ME, Weaver K, Li Q, Zhang Y. Systematic Integration of Epigenomic Landscapes in Human and Mouse Blood Cells to Predict Activity and Targets of Regulatory Elements. FASEB J 2022. [DOI: 10.1096/fasebj.2022.36.s1.r5637] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Ross C. Hardison
- Biochemistry and Molecular BiologyThe Pennsylvania State UniversityUniversity ParkPA
| | | | - Camden Jansen
- Biochemistry and Molecular BiologyThe Pennsylvania State UniversityUniversity ParkPA
| | - Cheryl A. Keller
- Biochemistry and Molecular BiologyThe Pennsylvania State UniversityUniversity ParkPA
| | - Belinda M. Giardine
- Biochemistry and Molecular BiologyThe Pennsylvania State UniversityUniversity ParkPA
| | - April Cockburn
- Biochemistry and Molecular BiologyThe Pennsylvania State UniversityUniversity ParkPA
| | - Xi He
- Bioinformatics and GenomicsThe Pennsylvania State UniversityUniversity ParkPA
| | | | | | - Qunhua Li
- StatisticsThe Pennsylvania State UniversityUniversity ParkPA
| | - Yu Zhang
- StatisticsThe Pennsylvania State UniversityUniversity ParkPA
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14
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Moore JE, Purcaro MJ, Pratt HE, Epstein CB, Shoresh N, Adrian J, Kawli T, Davis CA, Dobin A, Kaul R, Halow J, Van Nostrand EL, Freese P, Gorkin DU, Shen Y, He Y, Mackiewicz M, Pauli-Behn F, Williams BA, Mortazavi A, Keller CA, Zhang XO, Elhajjajy SI, Huey J, Dickel DE, Snetkova V, Wei X, Wang X, Rivera-Mulia JC, Rozowsky J, Zhang J, Chhetri SB, Zhang J, Victorsen A, White KP, Visel A, Yeo GW, Burge CB, Lécuyer E, Gilbert DM, Dekker J, Rinn J, Mendenhall EM, Ecker JR, Kellis M, Klein RJ, Noble WS, Kundaje A, Guigó R, Farnham PJ, Cherry JM, Myers RM, Ren B, Graveley BR, Gerstein MB, Pennacchio LA, Snyder MP, Bernstein BE, Wold B, Hardison RC, Gingeras TR, Stamatoyannopoulos JA, Weng Z. Author Correction: Expanded encyclopaedias of DNA elements in the human and mouse genomes. Nature 2022; 605:E3. [PMID: 35474001 PMCID: PMC9095460 DOI: 10.1038/s41586-021-04226-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Affiliation(s)
| | - Jill E Moore
- University of Massachusetts Medical School, Program in Bioinformatics and Integrative Biology, Worcester, MA, USA
| | - Michael J Purcaro
- University of Massachusetts Medical School, Program in Bioinformatics and Integrative Biology, Worcester, MA, USA
| | - Henry E Pratt
- University of Massachusetts Medical School, Program in Bioinformatics and Integrative Biology, Worcester, MA, USA
| | | | - Noam Shoresh
- The Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Jessika Adrian
- Department of Genetics, School of Medicine, Stanford University, Palo Alto, CA, USA
| | - Trupti Kawli
- Department of Genetics, School of Medicine, Stanford University, Palo Alto, CA, USA
| | - Carrie A Davis
- Cold Spring Harbor Laboratory, Functional Genomics, Cold Spring Harbor, NY, USA
| | - Alexander Dobin
- Cold Spring Harbor Laboratory, Functional Genomics, Cold Spring Harbor, NY, USA
| | - Rajinder Kaul
- Altius Institute for Biomedical Sciences, Seattle, WA, USA.,Department of Medicine, University of Washington School of Medicine, Seattle, WA, USA
| | - Jessica Halow
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | - Eric L Van Nostrand
- Department of Cellular and Molecular Medicine, Institute for Genomic Medicine, Stem Cell Program, Sanford Consortium for Regenerative Medicine, University of California, San Diego, La Jolla, CA, USA
| | - Peter Freese
- Program in Computational and Systems Biology, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - David U Gorkin
- Center for Epigenomics, Department of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, CA, USA.,Ludwig Institute for Cancer Research, University of California, San Diego, La Jolla, CA, USA
| | - Yin Shen
- Ludwig Institute for Cancer Research, University of California, San Diego, La Jolla, CA, USA.,Institute for Human Genetics, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Yupeng He
- Genomics Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Mark Mackiewicz
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA
| | | | - Brian A Williams
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA
| | - Ali Mortazavi
- Department of Developmental and Cell Biology, University of California Irvine, Irvine, CA, USA
| | - Cheryl A Keller
- Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA, USA
| | - Xiao-Ou Zhang
- University of Massachusetts Medical School, Program in Bioinformatics and Integrative Biology, Worcester, MA, USA
| | - Shaimae I Elhajjajy
- University of Massachusetts Medical School, Program in Bioinformatics and Integrative Biology, Worcester, MA, USA
| | - Jack Huey
- University of Massachusetts Medical School, Program in Bioinformatics and Integrative Biology, Worcester, MA, USA
| | - Diane E Dickel
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Valentina Snetkova
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Xintao Wei
- Department of Genetics and Genome Sciences, Institute for Systems Genomics, UConn Health, Farmington, CT, USA
| | - Xiaofeng Wang
- Département de Biochimie et Médecine Moléculaire, Université de Montréal, Montréal, Quebec, Canada.,Division of Experimental Medicine, McGill University, Montreal, Quebec, Canada.,Institut de Recherches Cliniques de Montréal (IRCM), Montréal, Quebec, Canada
| | - Juan Carlos Rivera-Mulia
- Department of Biological Science, Florida State University, Tallahassee, FL, USA.,Department of Biochemistry, Molecular Biology and Biophysics, University of Minnesota Medical School, Minneapolis, MN, USA
| | | | | | - Surya B Chhetri
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA.,Biological Sciences, University of Alabama in Huntsville, Huntsville, AL, USA
| | - Jialing Zhang
- Department of Genetics, School of Medicine, Yale University, New Haven, CT, USA
| | - Alec Victorsen
- Department of Human Genetics, Institute for Genomics and Systems Biology, The University of Chicago, Chicago, IL, USA
| | | | - Axel Visel
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.,US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.,School of Natural Sciences, University of California, Merced, Merced, CA, USA
| | - Gene W Yeo
- Department of Cellular and Molecular Medicine, Institute for Genomic Medicine, Stem Cell Program, Sanford Consortium for Regenerative Medicine, University of California, San Diego, La Jolla, CA, USA
| | - Christopher B Burge
- Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Eric Lécuyer
- Département de Biochimie et Médecine Moléculaire, Université de Montréal, Montréal, Quebec, Canada.,Division of Experimental Medicine, McGill University, Montreal, Quebec, Canada.,Institut de Recherches Cliniques de Montréal (IRCM), Montréal, Quebec, Canada
| | - David M Gilbert
- Department of Biological Science, Florida State University, Tallahassee, FL, USA
| | - Job Dekker
- HHMI and Program in Systems Biology, University of Massachusetts Medical School, Worcester, MA, USA
| | - John Rinn
- University of Colorado Boulder, Boulder, CO, USA
| | - Eric M Mendenhall
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA.,Biological Sciences, University of Alabama in Huntsville, Huntsville, AL, USA
| | - Joseph R Ecker
- Genomics Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA.,Howard Hughes Medical Institute, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Manolis Kellis
- The Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Robert J Klein
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - William S Noble
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Anshul Kundaje
- Department of Genetics, School of Medicine, Stanford University, Palo Alto, CA, USA
| | - Roderic Guigó
- Bioinformatics and Genomics Program, Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology and Universitat Pompeu Fabra, Barcelona, Spain
| | - Peggy J Farnham
- Department of Biochemistry and Molecular Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - J Michael Cherry
- Department of Genetics, School of Medicine, Stanford University, Palo Alto, CA, USA.
| | - Richard M Myers
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA.
| | - Bing Ren
- Center for Epigenomics, Department of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, CA, USA. .,Ludwig Institute for Cancer Research, University of California, San Diego, La Jolla, CA, USA.
| | - Brenton R Graveley
- Department of Genetics and Genome Sciences, Institute for Systems Genomics, UConn Health, Farmington, CT, USA.
| | | | - Len A Pennacchio
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA. .,US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA. .,Comparative Biochemistry Program, University of California, Berkeley, CA, USA.
| | - Michael P Snyder
- Department of Genetics, School of Medicine, Stanford University, Palo Alto, CA, USA. .,Cardiovascular Institute, Stanford School of Medicine, Stanford, CA, USA.
| | - Bradley E Bernstein
- Broad Institute and Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
| | - Barbara Wold
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA.
| | - Ross C Hardison
- Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA, USA.
| | - Thomas R Gingeras
- Cold Spring Harbor Laboratory, Functional Genomics, Cold Spring Harbor, NY, USA.
| | - John A Stamatoyannopoulos
- Altius Institute for Biomedical Sciences, Seattle, WA, USA. .,Department of Medicine, University of Washington School of Medicine, Seattle, WA, USA. .,Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA.
| | - Zhiping Weng
- University of Massachusetts Medical School, Program in Bioinformatics and Integrative Biology, Worcester, MA, USA. .,Department of Thoracic Surgery, Clinical Translational Research Center, Shanghai Pulmonary Hospital, The School of Life Sciences and Technology, Tongji University, Shanghai, China. .,Bioinformatics Program, Boston University, Boston, MA, USA.
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15
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Olson TL, Cheon H, Xing JC, Olson KC, Paila U, Hamele CE, Neelamraju Y, Shemo BC, Schmachtenberg M, Sundararaman SK, Toro MF, Keller CA, Farber EA, Onengut-Gumuscu S, Garrett-Bakelman FE, Hardison RC, Feith DJ, Ratan A, Loughran TP. Frequent somatic TET2 mutations in chronic NK-LGL leukemia with distinct patterns of cytopenias. Blood 2021; 138:662-673. [PMID: 33786584 PMCID: PMC8394905 DOI: 10.1182/blood.2020005831] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [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: 03/30/2020] [Revised: 03/30/2021] [Accepted: 03/18/2021] [Indexed: 02/07/2023] Open
Abstract
Chronic natural killer large granular lymphocyte (NK-LGL) leukemia, also referred to as chronic lymphoproliferative disorder of NK cells, is a rare disorder defined by prolonged expansion of clonal NK cells. Similar prevalence of STAT3 mutations in chronic T-LGL and NK-LGL leukemia is suggestive of common pathogenesis. We undertook whole-genome sequencing to identify mutations unique to NK-LGL leukemia. The results were analyzed to develop a resequencing panel that was applied to 58 patients. Phosphatidylinositol 3-kinase pathway gene mutations (PIK3CD/PIK3AP1) and TNFAIP3 mutations were seen in 5% and 10% of patients, respectively. TET2 was exceptional in that mutations were present in 16 (28%) of 58 patient samples, with evidence that TET2 mutations can be dominant and exclusive to the NK compartment. Reduced-representation bisulfite sequencing revealed that methylation patterns were significantly altered in TET2 mutant samples. The promoter of TET2 and that of PTPRD, a negative regulator of STAT3, were found to be methylated in additional cohort samples, largely confined to the TET2 mutant group. Mutations in STAT3 were observed in 19 (33%) of 58 patient samples, 7 of which had concurrent TET2 mutations. Thrombocytopenia and resistance to immunosuppressive agents were uniquely observed in those patients with only TET2 mutation (Games-Howell post hoc test, P = .0074; Fisher's exact test, P = .00466). Patients with STAT3 mutation, inclusive of those with TET2 comutation, had lower hematocrit, hemoglobin, and absolute neutrophil count compared with STAT3 wild-type patients (Welch's t test, P ≤ .015). We present the discovery of TET2 mutations in chronic NK-LGL leukemia and evidence that it identifies a unique molecular subtype.
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Affiliation(s)
- Thomas L Olson
- University of Virginia Cancer Center, Charlottesville, VA
- Division of Hematology/Oncology, Department of Medicine, and
| | - HeeJin Cheon
- University of Virginia Cancer Center, Charlottesville, VA
- Division of Hematology/Oncology, Department of Medicine, and
- Medical Scientist Training Program, University of Virginia School of Medicine, Charlottesville, VA
| | - Jeffrey C Xing
- University of Virginia Cancer Center, Charlottesville, VA
- Division of Hematology/Oncology, Department of Medicine, and
- Medical Scientist Training Program, University of Virginia School of Medicine, Charlottesville, VA
| | - Kristine C Olson
- University of Virginia Cancer Center, Charlottesville, VA
- Division of Hematology/Oncology, Department of Medicine, and
| | - Umadevi Paila
- Center for Public Health Genomics, University of Virginia, Charlottesville; VA
| | - Cait E Hamele
- University of Virginia Cancer Center, Charlottesville, VA
- Division of Hematology/Oncology, Department of Medicine, and
| | - Yaseswini Neelamraju
- Department of Biochemistry and Molecular Genetics, University of Virginia School of Medicine, Charlottesville, VA
| | - Bryna C Shemo
- University of Virginia Cancer Center, Charlottesville, VA
- Division of Hematology/Oncology, Department of Medicine, and
| | - Matt Schmachtenberg
- University of Virginia Cancer Center, Charlottesville, VA
- Division of Hematology/Oncology, Department of Medicine, and
| | - Shriram K Sundararaman
- University of Virginia Cancer Center, Charlottesville, VA
- Division of Hematology/Oncology, Department of Medicine, and
| | - Mariella F Toro
- University of Virginia Cancer Center, Charlottesville, VA
- Division of Hematology/Oncology, Department of Medicine, and
| | - Cheryl A Keller
- Department of Biochemistry and Molecular Biology, Center for Computational Biology & Bioinformatics, The Pennsylvania State University, State College, PA; and
| | - Emily A Farber
- Center for Public Health Genomics, University of Virginia, Charlottesville; VA
| | | | - Francine E Garrett-Bakelman
- University of Virginia Cancer Center, Charlottesville, VA
- Division of Hematology/Oncology, Department of Medicine, and
- Department of Biochemistry and Molecular Genetics, University of Virginia School of Medicine, Charlottesville, VA
| | - Ross C Hardison
- Department of Biochemistry and Molecular Biology, Center for Computational Biology & Bioinformatics, The Pennsylvania State University, State College, PA; and
| | - David J Feith
- University of Virginia Cancer Center, Charlottesville, VA
- Division of Hematology/Oncology, Department of Medicine, and
| | - Aakrosh Ratan
- Center for Public Health Genomics, University of Virginia, Charlottesville; VA
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA
| | - Thomas P Loughran
- University of Virginia Cancer Center, Charlottesville, VA
- Division of Hematology/Oncology, Department of Medicine, and
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16
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Keller CA, Wixom AQ, Heuston EF, Giardine B, Hsiung CCS, Long MR, Miller A, Anderson SM, Cockburn A, Blobel GA, Bodine DM, Hardison RC. Effects of sheared chromatin length on ChIP-seq quality and sensitivity. G3 (Bethesda) 2021; 11:6206780. [PMID: 33788948 PMCID: PMC8495733 DOI: 10.1093/g3journal/jkab101] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/22/2020] [Accepted: 03/26/2021] [Indexed: 01/22/2023]
Abstract
Chromatin immunoprecipitation followed by massively parallel, high throughput sequencing (ChIP-seq) is the method of choice for genome-wide identification of DNA segments bound by specific transcription factors or in chromatin with particular histone modifications. However, the quality of ChIP-seq datasets varies widely, with a substantial fraction being of intermediate to poor quality. Thus, it is important to discern and control the factors that contribute to variation in ChIP-seq. In this study, we focused on sonication, a user-controlled variable, to produce sheared chromatin. We systematically varied the amount of shearing of fixed chromatin from a mouse erythroid cell line, carefully measuring the distribution of resultant fragment lengths prior to ChIP-seq. This systematic study was complemented with a retrospective analysis of additional experiments. We found that the level of sonication had a pronounced impact on the quality of ChIP-seq signals. Over-sonication consistently reduced quality, while the impact of under-sonication differed among transcription factors, with no impact on sites bound by CTCF but frequently leading to the loss of sites occupied by TAL1 or bound by POL2. The bound sites not observed in low quality datasets were inferred to be a mix of both direct and indirect binding. We leveraged these findings to produce a set of CTCF ChIP-seq datasets in rare, primary hematopoietic progenitor cells. Our observation that the amount of chromatin sonication is a key variable in success of ChIP-seq experiments indicates that monitoring the level of sonication can improve ChIP-seq quality and reproducibility and facilitate ChIP-seq in rare cell types.
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Affiliation(s)
- Cheryl A Keller
- Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA 16802, USA
| | - Alexander Q Wixom
- Mayo Clinic, Department of Gastroenterology and Hepatology , Rochester, MN 55905, USA
| | - Elisabeth F Heuston
- NHGRI Hematopoiesis Section, Genetics and Molecular Biology Branch, National Institutes of Health, Bethesda, MD 20892, USA
| | - Belinda Giardine
- Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA 16802, USA
| | - Chris C-S Hsiung
- Department of Pathology, Stanford University School of Medicine, CA 94305, USA.,Department of Urology, University of California, CA 94158, USA
| | - Maria R Long
- Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA 16802, USA
| | - Amber Miller
- Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA 16802, USA
| | - Stacie M Anderson
- NHGRI Flow Cytometry Core, National Institutes of Health, Bethesda, MD 20882, USA
| | - April Cockburn
- Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA 16802, USA
| | - Gerd A Blobel
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.,Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - David M Bodine
- NHGRI Hematopoiesis Section, Genetics and Molecular Biology Branch, National Institutes of Health, Bethesda, MD 20892, USA
| | - Ross C Hardison
- Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA 16802, USA
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17
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Luan J, Xiang G, Gómez-García PA, Tome JM, Zhang Z, Vermunt MW, Zhang H, Huang A, Keller CA, Giardine BM, Zhang Y, Lan Y, Lis JT, Lakadamyali M, Hardison RC, Blobel GA. Distinct properties and functions of CTCF revealed by a rapidly inducible degron system. Cell Rep 2021; 34:108783. [PMID: 33626344 PMCID: PMC7999233 DOI: 10.1016/j.celrep.2021.108783] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2020] [Revised: 11/25/2020] [Accepted: 02/02/2021] [Indexed: 02/07/2023] Open
Abstract
CCCTC-binding factor (CTCF) is a conserved zinc finger transcription factor implicated in a wide range of functions, including genome organization, transcription activation, and elongation. To explore the basis for CTCF functional diversity, we coupled an auxin-induced degron system with precision nuclear run-on. Unexpectedly, oriented CTCF motifs in gene bodies are associated with transcriptional stalling in a manner independent of bound CTCF. Moreover, CTCF at different binding sites (CBSs) displays highly variable resistance to degradation. Motif sequence does not significantly predict degradation behavior, but location at chromatin boundaries and chromatin loop anchors, as well as co-occupancy with cohesin, are associated with delayed degradation. Single-molecule tracking experiments link chromatin residence time to CTCF degradation kinetics, which has ramifications regarding architectural CTCF functions. Our study highlights the heterogeneity of CBSs, uncovers properties specific to architecturally important CBSs, and provides insights into the basic processes of genome organization and transcription regulation.
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Affiliation(s)
- Jing Luan
- Medical Scientist Training Program, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Guanjue Xiang
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA 16802, USA
| | - Pablo Aurelio Gómez-García
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Jacob M Tome
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY 14853, USA
| | - Zhe Zhang
- Department of Biomedical and Health Informatics, Children's Hospital of Pennsylvania, Philadelphia, PA, USA
| | - Marit W Vermunt
- Division of Hematology, The Children's Hospital of Pennsylvania, Philadelphia, PA, USA
| | - Haoyue Zhang
- Division of Hematology, The Children's Hospital of Pennsylvania, Philadelphia, PA, USA
| | - Anran Huang
- Division of Hematology, The Children's Hospital of Pennsylvania, Philadelphia, PA, USA
| | - Cheryl A Keller
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA 16802, USA
| | - Belinda M Giardine
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA 16802, USA
| | - Yu Zhang
- Department of Statistics, Pennsylvania State University, University Park, PA 16802, USA
| | - Yemin Lan
- Penn Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - John T Lis
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY 14853, USA
| | - Melike Lakadamyali
- Department of Physiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Ross C Hardison
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA 16802, USA
| | - Gerd A Blobel
- Division of Hematology, The Children's Hospital of Pennsylvania, Philadelphia, PA, USA.
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18
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Lan X, Ren R, Feng R, Ly LC, Lan Y, Zhang Z, Aboreden N, Qin K, Horton JR, Grevet JD, Mayuranathan T, Abdulmalik O, Keller CA, Giardine B, Hardison RC, Crossley M, Weiss MJ, Cheng X, Shi J, Blobel GA. ZNF410 Uniquely Activates the NuRD Component CHD4 to Silence Fetal Hemoglobin Expression. Mol Cell 2020; 81:239-254.e8. [PMID: 33301730 DOI: 10.1016/j.molcel.2020.11.006] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2020] [Revised: 10/26/2020] [Accepted: 11/02/2020] [Indexed: 01/08/2023]
Abstract
Metazoan transcription factors typically regulate large numbers of genes. Here we identify via a CRISPR-Cas9 genetic screen ZNF410, a pentadactyl DNA-binding protein that in human erythroid cells directly activates only a single gene, the NuRD component CHD4. Specificity is conveyed by two highly evolutionarily conserved clusters of ZNF410 binding sites near the CHD4 gene with no counterparts elsewhere in the genome. Loss of ZNF410 in adult-type human erythroid cell culture systems and xenotransplantation settings diminishes CHD4 levels and derepresses the fetal hemoglobin genes. While previously known to be silenced by CHD4, the fetal globin genes are exposed here as among the most sensitive to reduced CHD4 levels.. In vitro DNA binding assays and crystallographic studies reveal the ZNF410-DNA binding mode. ZNF410 is a remarkably selective transcriptional activator in erythroid cells, and its perturbation might offer new opportunities for treatment of hemoglobinopathies.
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Affiliation(s)
- Xianjiang Lan
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Ren Ren
- Department of Epigenetics and Molecular Carcinogenesis, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Ruopeng Feng
- Department of Hematology, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Lana C Ly
- School of Biotechnology and Biomolecular Sciences, University of New South Wales (UNSW) Sydney, Sydney, NSW 2052, Australia
| | - Yemin Lan
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Zhe Zhang
- Department of Biomedical and Health Informatics, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Nicholas Aboreden
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Kunhua Qin
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - John R Horton
- Department of Epigenetics and Molecular Carcinogenesis, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Jeremy D Grevet
- Department of Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
| | | | - Osheiza Abdulmalik
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Cheryl A Keller
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA 16802, USA
| | - Belinda Giardine
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA 16802, USA
| | - Ross C Hardison
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA 16802, USA
| | - Merlin Crossley
- School of Biotechnology and Biomolecular Sciences, University of New South Wales (UNSW) Sydney, Sydney, NSW 2052, Australia
| | - Mitchell J Weiss
- Department of Hematology, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Xiaodong Cheng
- Department of Epigenetics and Molecular Carcinogenesis, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Junwei Shi
- Department of Cancer Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
| | - Gerd A Blobel
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
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19
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Zhang D, Huang P, Sharma M, Keller CA, Giardine B, Zhang H, Gilgenast TG, Phillips-Cremins JE, Hardison RC, Blobel GA. Alteration of genome folding via contact domain boundary insertion. Nat Genet 2020; 52:1076-1087. [PMID: 32868908 PMCID: PMC7541666 DOI: 10.1038/s41588-020-0680-8] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2019] [Accepted: 07/23/2020] [Indexed: 12/26/2022]
Abstract
Animal chromosomes are partitioned into contact domains. Pathogenic domain disruptions can result from chromosomal rearrangements or perturbation of architectural factors. However, such broad-scale alterations are insufficient to define the minimal requirements for domain formation. Moreover, to what extent domains can be engineered is just beginning to be explored. In an attempt to create contact domains, we inserted a 2-kb DNA sequence underlying a tissue-invariant domain boundary-containing a CTCF-binding site (CBS) and a transcription start site (TSS)-into 16 ectopic loci across 11 chromosomes, and characterized its architectural impact. Depending on local constraints, this fragment variably formed new domains, partitioned existing ones, altered compartmentalization and initiated contacts reflecting chromatin loop extrusion. Deletions of the CBS or the TSS individually or in combination within inserts revealed its distinct contributions to genome folding. Altogether, short DNA insertions can suffice to shape the spatial genome in a manner influenced by chromatin context.
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Affiliation(s)
- Di Zhang
- Division of Hematology, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
| | - Peng Huang
- Division of Hematology, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Malini Sharma
- Division of Hematology, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Cheryl A Keller
- Department of Biochemistry & Molecular Biology, Pennsylvania State University, University Park, PA, USA
| | - Belinda Giardine
- Department of Biochemistry & Molecular Biology, Pennsylvania State University, University Park, PA, USA
| | - Haoyue Zhang
- Division of Hematology, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Thomas G Gilgenast
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA
| | - Jennifer E Phillips-Cremins
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA
- Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
| | - Ross C Hardison
- Department of Biochemistry & Molecular Biology, Pennsylvania State University, University Park, PA, USA
| | - Gerd A Blobel
- Division of Hematology, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
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20
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Moore JE, Purcaro MJ, Pratt HE, Epstein CB, Shoresh N, Adrian J, Kawli T, Davis CA, Dobin A, Kaul R, Halow J, Van Nostrand EL, Freese P, Gorkin DU, Shen Y, He Y, Mackiewicz M, Pauli-Behn F, Williams BA, Mortazavi A, Keller CA, Zhang XO, Elhajjajy SI, Huey J, Dickel DE, Snetkova V, Wei X, Wang X, Rivera-Mulia JC, Rozowsky J, Zhang J, Chhetri SB, Zhang J, Victorsen A, White KP, Visel A, Yeo GW, Burge CB, Lécuyer E, Gilbert DM, Dekker J, Rinn J, Mendenhall EM, Ecker JR, Kellis M, Klein RJ, Noble WS, Kundaje A, Guigó R, Farnham PJ, Cherry JM, Myers RM, Ren B, Graveley BR, Gerstein MB, Pennacchio LA, Snyder MP, Bernstein BE, Wold B, Hardison RC, Gingeras TR, Stamatoyannopoulos JA, Weng Z. Expanded encyclopaedias of DNA elements in the human and mouse genomes. Nature 2020; 583:699-710. [PMID: 32728249 PMCID: PMC7410828 DOI: 10.1038/s41586-020-2493-4] [Citation(s) in RCA: 879] [Impact Index Per Article: 219.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2017] [Accepted: 05/27/2020] [Indexed: 12/13/2022]
Abstract
The human and mouse genomes contain instructions that specify RNAs and proteins and govern the timing, magnitude, and cellular context of their production. To better delineate these elements, phase III of the Encyclopedia of DNA Elements (ENCODE) Project has expanded analysis of the cell and tissue repertoires of RNA transcription, chromatin structure and modification, DNA methylation, chromatin looping, and occupancy by transcription factors and RNA-binding proteins. Here we summarize these efforts, which have produced 5,992 new experimental datasets, including systematic determinations across mouse fetal development. All data are available through the ENCODE data portal (https://www.encodeproject.org), including phase II ENCODE1 and Roadmap Epigenomics2 data. We have developed a registry of 926,535 human and 339,815 mouse candidate cis-regulatory elements, covering 7.9 and 3.4% of their respective genomes, by integrating selected datatypes associated with gene regulation, and constructed a web-based server (SCREEN; http://screen.encodeproject.org) to provide flexible, user-defined access to this resource. Collectively, the ENCODE data and registry provide an expansive resource for the scientific community to build a better understanding of the organization and function of the human and mouse genomes.
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Affiliation(s)
- Jill E Moore
- University of Massachusetts Medical School, Program in Bioinformatics and Integrative Biology, Worcester, MA, USA
| | - Michael J Purcaro
- University of Massachusetts Medical School, Program in Bioinformatics and Integrative Biology, Worcester, MA, USA
| | - Henry E Pratt
- University of Massachusetts Medical School, Program in Bioinformatics and Integrative Biology, Worcester, MA, USA
| | | | - Noam Shoresh
- The Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Jessika Adrian
- Department of Genetics, School of Medicine, Stanford University, Palo Alto, CA, USA
| | - Trupti Kawli
- Department of Genetics, School of Medicine, Stanford University, Palo Alto, CA, USA
| | - Carrie A Davis
- Cold Spring Harbor Laboratory, Functional Genomics, Cold Spring Harbor, NY, USA
| | - Alexander Dobin
- Cold Spring Harbor Laboratory, Functional Genomics, Cold Spring Harbor, NY, USA
| | - Rajinder Kaul
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
- Department of Medicine, University of Washington School of Medicine, Seattle, WA, USA
| | - Jessica Halow
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | - Eric L Van Nostrand
- Department of Cellular and Molecular Medicine, Institute for Genomic Medicine, Stem Cell Program, Sanford Consortium for Regenerative Medicine, University of California, San Diego, La Jolla, CA, USA
| | - Peter Freese
- Program in Computational and Systems Biology, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - David U Gorkin
- Center for Epigenomics, Department of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, CA, USA
- Ludwig Institute for Cancer Research, University of California, San Diego, La Jolla, CA, USA
| | - Yin Shen
- Ludwig Institute for Cancer Research, University of California, San Diego, La Jolla, CA, USA
- Institute for Human Genetics, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Yupeng He
- Genomics Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Mark Mackiewicz
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA
| | | | - Brian A Williams
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA
| | - Ali Mortazavi
- Department of Developmental and Cell Biology, University of California Irvine, Irvine, CA, USA
| | - Cheryl A Keller
- Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA, USA
| | - Xiao-Ou Zhang
- University of Massachusetts Medical School, Program in Bioinformatics and Integrative Biology, Worcester, MA, USA
| | - Shaimae I Elhajjajy
- University of Massachusetts Medical School, Program in Bioinformatics and Integrative Biology, Worcester, MA, USA
| | - Jack Huey
- University of Massachusetts Medical School, Program in Bioinformatics and Integrative Biology, Worcester, MA, USA
| | - Diane E Dickel
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Valentina Snetkova
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Xintao Wei
- Department of Genetics and Genome Sciences, Institute for Systems Genomics, UConn Health, Farmington, CT, USA
| | - Xiaofeng Wang
- Département de Biochimie et Médecine Moléculaire, Université de Montréal, Montréal, Quebec, Canada
- Division of Experimental Medicine, McGill University, Montreal, Quebec, Canada
- Institut de Recherches Cliniques de Montréal (IRCM), Montréal, Quebec, Canada
| | - Juan Carlos Rivera-Mulia
- Department of Biological Science, Florida State University, Tallahassee, FL, USA
- Department of Biochemistry, Molecular Biology and Biophysics, University of Minnesota Medical School, Minneapolis, MN, USA
| | | | | | - Surya B Chhetri
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA
- Biological Sciences, University of Alabama in Huntsville, Huntsville, AL, USA
| | - Jialing Zhang
- Department of Genetics, School of Medicine, Yale University, New Haven, CT, USA
| | - Alec Victorsen
- Department of Human Genetics, Institute for Genomics and Systems Biology, The University of Chicago, Chicago, IL, USA
| | | | - Axel Visel
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
- School of Natural Sciences, University of California, Merced, Merced, CA, USA
| | - Gene W Yeo
- Department of Cellular and Molecular Medicine, Institute for Genomic Medicine, Stem Cell Program, Sanford Consortium for Regenerative Medicine, University of California, San Diego, La Jolla, CA, USA
| | - Christopher B Burge
- Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Eric Lécuyer
- Département de Biochimie et Médecine Moléculaire, Université de Montréal, Montréal, Quebec, Canada
- Division of Experimental Medicine, McGill University, Montreal, Quebec, Canada
- Institut de Recherches Cliniques de Montréal (IRCM), Montréal, Quebec, Canada
| | - David M Gilbert
- Department of Biological Science, Florida State University, Tallahassee, FL, USA
| | - Job Dekker
- HHMI and Program in Systems Biology, University of Massachusetts Medical School, Worcester, MA, USA
| | - John Rinn
- University of Colorado Boulder, Boulder, CO, USA
| | - Eric M Mendenhall
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA
- Biological Sciences, University of Alabama in Huntsville, Huntsville, AL, USA
| | - Joseph R Ecker
- Genomics Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA
- Howard Hughes Medical Institute, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Manolis Kellis
- The Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Robert J Klein
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - William S Noble
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Anshul Kundaje
- Department of Genetics, School of Medicine, Stanford University, Palo Alto, CA, USA
| | - Roderic Guigó
- Bioinformatics and Genomics Program, Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology and Universitat Pompeu Fabra, Barcelona, Spain
| | - Peggy J Farnham
- Department of Biochemistry and Molecular Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - J Michael Cherry
- Department of Genetics, School of Medicine, Stanford University, Palo Alto, CA, USA.
| | - Richard M Myers
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA.
| | - Bing Ren
- Center for Epigenomics, Department of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, CA, USA.
- Ludwig Institute for Cancer Research, University of California, San Diego, La Jolla, CA, USA.
| | - Brenton R Graveley
- Department of Genetics and Genome Sciences, Institute for Systems Genomics, UConn Health, Farmington, CT, USA.
| | | | - Len A Pennacchio
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
- Comparative Biochemistry Program, University of California, Berkeley, CA, USA.
| | - Michael P Snyder
- Department of Genetics, School of Medicine, Stanford University, Palo Alto, CA, USA.
- Cardiovascular Institute, Stanford School of Medicine, Stanford, CA, USA.
| | - Bradley E Bernstein
- Broad Institute and Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
| | - Barbara Wold
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA.
| | - Ross C Hardison
- Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA, USA.
| | - Thomas R Gingeras
- Cold Spring Harbor Laboratory, Functional Genomics, Cold Spring Harbor, NY, USA.
| | - John A Stamatoyannopoulos
- Altius Institute for Biomedical Sciences, Seattle, WA, USA.
- Department of Medicine, University of Washington School of Medicine, Seattle, WA, USA.
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA.
| | - Zhiping Weng
- University of Massachusetts Medical School, Program in Bioinformatics and Integrative Biology, Worcester, MA, USA.
- Department of Thoracic Surgery, Clinical Translational Research Center, Shanghai Pulmonary Hospital, The School of Life Sciences and Technology, Tongji University, Shanghai, China.
- Bioinformatics Program, Boston University, Boston, MA, USA.
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21
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Xiang G, Keller CA, Giardine B, An L, Li Q, Zhang Y, Hardison RC. S3norm: simultaneous normalization of sequencing depth and signal-to-noise ratio in epigenomic data. Nucleic Acids Res 2020; 48:e43. [PMID: 32086521 PMCID: PMC7192629 DOI: 10.1093/nar/gkaa105] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2019] [Revised: 01/20/2020] [Accepted: 02/10/2020] [Indexed: 12/12/2022] Open
Abstract
Quantitative comparison of epigenomic data across multiple cell types or experimental conditions is a promising way to understand the biological functions of epigenetic modifications. However, differences in sequencing depth and signal-to-noise ratios in the data from different experiments can hinder our ability to identify real biological variation from raw epigenomic data. Proper normalization is required prior to data analysis to gain meaningful insights. Most existing methods for data normalization standardize signals by rescaling either background regions or peak regions, assuming that the same scale factor is applicable to both background and peak regions. While such methods adjust for differences in sequencing depths, they do not address differences in the signal-to-noise ratios across different experiments. We developed a new data normalization method, called S3norm, that normalizes the sequencing depths and signal-to-noise ratios across different data sets simultaneously by a monotonic nonlinear transformation. We show empirically that the epigenomic data normalized by our method, compared to existing methods, can better capture real biological variation, such as impact on gene expression regulation.
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Affiliation(s)
- Guanjue Xiang
- The Bioinformatics and Genomics program, Center for Computational Biology and Bioinformatics, Huck Institutes of the Life Sciences, Wartik Laboratory, The Pennsylvania State University, University Park, PA 16802, USA
| | - Cheryl A Keller
- Dept. of Biochemistry and Molecular Biology, The Pennsylvania State University, Wartik Laboratory, University Park, PA 16802, USA
| | - Belinda Giardine
- Dept. of Biochemistry and Molecular Biology, The Pennsylvania State University, Wartik Laboratory, University Park, PA 16802, USA
| | - Lin An
- The Bioinformatics and Genomics program, Center for Computational Biology and Bioinformatics, Huck Institutes of the Life Sciences, Wartik Laboratory, The Pennsylvania State University, University Park, PA 16802, USA
| | - Qunhua Li
- Dept. of Statistics, The Pennsylvania State University, Wartik Laboratory, University Park, PA 16802, USA
| | - Yu Zhang
- Dept. of Statistics, The Pennsylvania State University, Wartik Laboratory, University Park, PA 16802, USA
| | - Ross C Hardison
- Dept. of Biochemistry and Molecular Biology, The Pennsylvania State University, Wartik Laboratory, University Park, PA 16802, USA
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22
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Xiang G, Keller CA, Heuston E, Giardine BM, An L, Wixom AQ, Miller A, Cockburn A, Sauria MEG, Weaver K, Lichtenberg J, Göttgens B, Li Q, Bodine D, Mahony S, Taylor J, Blobel GA, Weiss MJ, Cheng Y, Yue F, Hughes J, Higgs DR, Zhang Y, Hardison RC. An integrative view of the regulatory and transcriptional landscapes in mouse hematopoiesis. Genome Res 2020; 30:472-484. [PMID: 32132109 PMCID: PMC7111515 DOI: 10.1101/gr.255760.119] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2019] [Accepted: 02/21/2020] [Indexed: 01/29/2023]
Abstract
Thousands of epigenomic data sets have been generated in the past decade, but it is difficult for researchers to effectively use all the data relevant to their projects. Systematic integrative analysis can help meet this need, and the VISION project was established for validated systematic integration of epigenomic data in hematopoiesis. Here, we systematically integrated extensive data recording epigenetic features and transcriptomes from many sources, including individual laboratories and consortia, to produce a comprehensive view of the regulatory landscape of differentiating hematopoietic cell types in mouse. By using IDEAS as our integrative and discriminative epigenome annotation system, we identified and assigned epigenetic states simultaneously along chromosomes and across cell types, precisely and comprehensively. Combining nuclease accessibility and epigenetic states produced a set of more than 200,000 candidate cis-regulatory elements (cCREs) that efficiently capture enhancers and promoters. The transitions in epigenetic states of these cCREs across cell types provided insights into mechanisms of regulation, including decreases in numbers of active cCREs during differentiation of most lineages, transitions from poised to active or inactive states, and shifts in nuclease accessibility of CTCF-bound elements. Regression modeling of epigenetic states at cCREs and gene expression produced a versatile resource to improve selection of cCREs potentially regulating target genes. These resources are available from our VISION website to aid research in genomics and hematopoiesis.
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Affiliation(s)
- Guanjue Xiang
- Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Cheryl A Keller
- Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Elisabeth Heuston
- NHGRI Hematopoiesis Section, Genetics and Molecular Biology Branch, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Belinda M Giardine
- Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Lin An
- Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Alexander Q Wixom
- Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Amber Miller
- Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - April Cockburn
- Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Michael E G Sauria
- Departments of Biology and Computer Science, Johns Hopkins University, Baltimore, Maryland 20218, USA
| | - Kathryn Weaver
- Departments of Biology and Computer Science, Johns Hopkins University, Baltimore, Maryland 20218, USA
| | - Jens Lichtenberg
- NHGRI Hematopoiesis Section, Genetics and Molecular Biology Branch, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Berthold Göttgens
- Welcome and MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge CB2 1TN, United Kingdom
| | - Qunhua Li
- Department of Statistics, Program in Bioinformatics and Genomics, Center for Computational Biology and Bioinformatics, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - David Bodine
- NHGRI Hematopoiesis Section, Genetics and Molecular Biology Branch, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Shaun Mahony
- Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - James Taylor
- Departments of Biology and Computer Science, Johns Hopkins University, Baltimore, Maryland 20218, USA
| | - Gerd A Blobel
- Department of Pediatrics, Children's Hospital of Philadelphia and University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania 19104, USA
| | - Mitchell J Weiss
- Department of Hematology, St. Jude Children's Research Hospital, Memphis, Tennessee 38105, USA
| | - Yong Cheng
- Department of Hematology, St. Jude Children's Research Hospital, Memphis, Tennessee 38105, USA
| | - Feng Yue
- Department of Biochemistry and Molecular Biology, The Pennsylvania State University College of Medicine, Hershey, Pennsylvania 17033, USA
| | - Jim Hughes
- MRC Weatherall Institute of Molecular Medicine, Oxford University, Oxford OX3 9DS, United Kingdom
| | - Douglas R Higgs
- MRC Weatherall Institute of Molecular Medicine, Oxford University, Oxford OX3 9DS, United Kingdom
| | - Yu Zhang
- Department of Statistics, Program in Bioinformatics and Genomics, Center for Computational Biology and Bioinformatics, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Ross C Hardison
- Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
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23
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Hardison RC, Zhang Y, Keller CA, Xiang G, Heuston EF, An L, Lichtenberg J, Giardine BM, Bodine D, Mahony S, Li Q, Yue F, Weiss MJ, Blobel GA, Taylor J, Hughes J, Higgs DR, Göttgens B. Systematic integration of GATA transcription factors and epigenomes via IDEAS paints the regulatory landscape of hematopoietic cells. IUBMB Life 2020; 72:27-38. [PMID: 31769130 PMCID: PMC6972633 DOI: 10.1002/iub.2195] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2019] [Accepted: 10/17/2019] [Indexed: 01/15/2023]
Abstract
Members of the GATA family of transcription factors play key roles in the differentiation of specific cell lineages by regulating the expression of target genes. Three GATA factors play distinct roles in hematopoietic differentiation. In order to better understand how these GATA factors function to regulate genes throughout the genome, we are studying the epigenomic and transcriptional landscapes of hematopoietic cells in a model-driven, integrative fashion. We have formed the collaborative multi-lab VISION project to conduct ValIdated Systematic IntegratiON of epigenomic data in mouse and human hematopoiesis. The epigenomic data included nuclease accessibility in chromatin, CTCF occupancy, and histone H3 modifications for 20 cell types covering hematopoietic stem cells, multilineage progenitor cells, and mature cells across the blood cell lineages of mouse. The analysis used the Integrative and Discriminative Epigenome Annotation System (IDEAS), which learns all common combinations of features (epigenetic states) simultaneously in two dimensions-along chromosomes and across cell types. The result is a segmentation that effectively paints the regulatory landscape in readily interpretable views, revealing constitutively active or silent loci as well as the loci specifically induced or repressed in each stage and lineage. Nuclease accessible DNA segments in active chromatin states were designated candidate cis-regulatory elements in each cell type, providing one of the most comprehensive registries of candidate hematopoietic regulatory elements to date. Applications of VISION resources are illustrated for the regulation of genes encoding GATA1, GATA2, GATA3, and Ikaros. VISION resources are freely available from our website http://usevision.org.
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Affiliation(s)
- Ross C. Hardison
- Departments of Biochemistry and Molecular Biology and of StatisticsThe Pennsylvania State University, University ParkPA
| | - Yu Zhang
- Departments of Biochemistry and Molecular Biology and of StatisticsThe Pennsylvania State University, University ParkPA
| | - Cheryl A. Keller
- Departments of Biochemistry and Molecular Biology and of StatisticsThe Pennsylvania State University, University ParkPA
| | - Guanjue Xiang
- Departments of Biochemistry and Molecular Biology and of StatisticsThe Pennsylvania State University, University ParkPA
| | - Elisabeth F. Heuston
- Genetics and Molecular Biology Branch, Hematopoiesis SectionNational Institutes of Health, NHGRIBethesdaMD
| | - Lin An
- Departments of Biochemistry and Molecular Biology and of StatisticsThe Pennsylvania State University, University ParkPA
| | - Jens Lichtenberg
- Genetics and Molecular Biology Branch, Hematopoiesis SectionNational Institutes of Health, NHGRIBethesdaMD
| | - Belinda M. Giardine
- Departments of Biochemistry and Molecular Biology and of StatisticsThe Pennsylvania State University, University ParkPA
| | - David Bodine
- Genetics and Molecular Biology Branch, Hematopoiesis SectionNational Institutes of Health, NHGRIBethesdaMD
| | - Shaun Mahony
- Departments of Biochemistry and Molecular Biology and of StatisticsThe Pennsylvania State University, University ParkPA
| | - Qunhua Li
- Departments of Biochemistry and Molecular Biology and of StatisticsThe Pennsylvania State University, University ParkPA
| | - Feng Yue
- Department of Biochemistry and Molecular BiologyThe Pennsylvania State University College of MedicineHershey, PA
| | - Mitchell J. Weiss
- Hematology DepartmentSt. Jude Children's Research HospitalMemphis, TN
| | | | - James Taylor
- Departments of Biology and of Computer ScienceJohns Hopkins UniversityBaltimore, MD
| | - Jim Hughes
- Laboratory of Gene RegulationWeatherall Institute of Molecular Medicine, Oxford UniversityOxfordUK
| | - Douglas R. Higgs
- Laboratory of Gene RegulationWeatherall Institute of Molecular Medicine, Oxford UniversityOxfordUK
| | - Berthold Göttgens
- Department of Hematology, Cambridge Institute for Medical ResearchUniversity of CambridgeCambridgeUK
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24
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Zhang H, Emerson DJ, Gilgenast TG, Titus KR, Lan Y, Huang P, Zhang D, Wang H, Keller CA, Giardine B, Hardison RC, Phillips-Cremins JE, Blobel GA. Chromatin structure dynamics during the mitosis-to-G1 phase transition. Nature 2019; 576:158-162. [PMID: 31776509 PMCID: PMC6895436 DOI: 10.1038/s41586-019-1778-y] [Citation(s) in RCA: 126] [Impact Index Per Article: 25.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2019] [Accepted: 10/02/2019] [Indexed: 11/08/2022]
Abstract
Features of higher-order chromatin organization-such as A/B compartments, topologically associating domains and chromatin loops-are temporarily disrupted during mitosis1,2. Because these structures are thought to influence gene regulation, it is important to understand how they are re-established after mitosis. Here we examine the dynamics of chromosome reorganization by Hi-C after mitosis in highly purified, synchronous mouse erythroid cell populations. We observed rapid establishment of A/B compartments, followed by their gradual intensification and expansion. Contact domains form from the 'bottom up'-smaller subTADs are formed initially, followed by convergence into multi-domain TAD structures. CTCF is partially retained on mitotic chromosomes and immediately resumes full binding in ana/telophase. By contrast, cohesin is completely evicted from mitotic chromosomes and regains focal binding at a slower rate. The formation of CTCF/cohesin co-anchored structural loops follows the kinetics of cohesin positioning. Stripe-shaped contact patterns-anchored by CTCF-grow in length, which is consistent with a loop-extrusion process after mitosis. Interactions between cis-regulatory elements can form rapidly, with rates exceeding those of CTCF/cohesin-anchored contacts. Notably, we identified a group of rapidly emerging transient contacts between cis-regulatory elements in ana/telophase that are dissolved upon G1 entry, co-incident with the establishment of inner boundaries or nearby interfering chromatin loops. We also describe the relationship between transcription reactivation and architectural features. Our findings indicate that distinct but mutually influential forces drive post-mitotic chromatin reconfiguration.
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Affiliation(s)
- Haoyue Zhang
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Daniel J Emerson
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA
| | - Thomas G Gilgenast
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA
| | - Katelyn R Titus
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA
| | - Yemin Lan
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Peng Huang
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Di Zhang
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Hongxin Wang
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Cheryl A Keller
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA, USA
| | - Belinda Giardine
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA, USA
| | - Ross C Hardison
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA, USA
| | | | - Gerd A Blobel
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
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25
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Bartman CR, Hamagami N, Keller CA, Giardine B, Hardison RC, Blobel GA, Raj A. Transcriptional Burst Initiation and Polymerase Pause Release Are Key Control Points of Transcriptional Regulation. Mol Cell 2019; 73:519-532.e4. [PMID: 30554946 PMCID: PMC6368450 DOI: 10.1016/j.molcel.2018.11.004] [Citation(s) in RCA: 79] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2018] [Revised: 08/06/2018] [Accepted: 11/01/2018] [Indexed: 11/16/2022]
Abstract
Transcriptional regulation occurs via changes to rates of different biochemical steps of transcription, but it remains unclear which rates are subject to change upon biological perturbation. Biochemical studies have suggested that stimuli predominantly affect the rates of RNA polymerase II (Pol II) recruitment and polymerase release from promoter-proximal pausing. Single-cell studies revealed that transcription occurs in discontinuous bursts, suggesting that features of such bursts like frequency and intensity could also be regulated. We combined Pol II chromatin immunoprecipitation sequencing (ChIP-seq) and single-cell transcriptional measurements to show that an independently regulated burst initiation step is required before polymerase recruitment can occur. Using a number of global and targeted transcriptional regulatory perturbations, we showed that biological perturbations regulated both burst initiation and polymerase pause release rates but seemed not to regulate polymerase recruitment rate. Our results suggest that transcriptional regulation primarily acts by changing the rates of burst initiation and polymerase pause release.
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Affiliation(s)
- Caroline R Bartman
- Division of Hematology, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Nicole Hamagami
- Division of Hematology, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Cheryl A Keller
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA 16802, USA
| | - Belinda Giardine
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA 16802, USA
| | - Ross C Hardison
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA 16802, USA
| | - Gerd A Blobel
- Division of Hematology, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
| | - Arjun Raj
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
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26
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Tzompa-Sosa ZA, Henderson BH, Keller CA, Travis K, Mahieu E, Franco B, Estes M, Helmig D, Fried A, Richter D, Weibring P, Walega J, Blake DR, Hannigan JW, Ortega I, Conway S, Strong K, Fischer EV. Atmospheric implications of large C 2-C 5 alkane emissions from the U.S. oil and gas industry. J Geophys Res Atmos 2019; 124:1148-1169. [PMID: 32832312 PMCID: PMC7433792 DOI: 10.1029/2018jd028955] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/07/2018] [Accepted: 12/18/2018] [Indexed: 06/10/2023]
Abstract
Emissions of C2-C5 alkanes from the U.S. oil and gas sector have changed rapidly over the last decade. We use a nested GEOS-Chem simulation driven by updated 2011NEI emissions with aircraft, surface and column observations to 1) examine spatial patterns in the emissions and observed atmospheric abundances of C2-C5 alkanes over the U.S., and 2) estimate the contribution of emissions from the U.S. oil and gas industry to these patterns. The oil and gas sector in the updated 2011NEI contributes over 80% of the total U.S. emissions of ethane (C2H6) and propane (C3H8), and emissions of these species are largest in the central U.S. Observed mixing ratios of C2-C5 alkanes show enhancements over the central U.S. below 2 km. A nested GEOS-Chem simulation underpredicts observed C3H8 mixing ratios in the boundary layer over several U.S. regions and the relative underprediction is not consistent, suggesting C3H8 emissions should receive more attention moving forward. Our decision to consider only C4-C5 alkane emissions as a single lumped species produces a geographic distribution similar to observations. Due to the increasing importance of oil and gas emissions in the U.S., we recommend continued support of existing long-term measurements of C2-C5 alkanes. We suggest additional monitoring of C2-C5 alkanes downwind of northeastern Colorado, Wyoming and western North Dakota to capture changes in these regions. The atmospheric chemistry modeling community should also evaluate whether chemical mechanisms that lump larger alkanes are sufficient to understand air quality issues in regions with large emissions of these species.
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Affiliation(s)
- Z A Tzompa-Sosa
- Department of Atmospheric Science, Colorado State University, Colorado, USA
| | - B H Henderson
- Air Quality Modeling Group, Office of Air Quality Planning and Standards, US Environmental Protection Agency, USA
| | - C A Keller
- Universities Space Research Association / GESTAR, National Aeronautics and Space Administration, Maryland, USA
- Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA
| | - K Travis
- Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
| | - E Mahieu
- Institut d'Astrophysique et de Géophysique, Université de Liège, Quartier Agora, Liège, Belgium
| | - B Franco
- Université libre de Bruxelles (ULB), Atmospheric Spectroscopy, Service de Chimie Quantique et Photophysique, Brussels, Belgium
| | - M Estes
- Air Modeling and Data Analysis Section, Texas Commission on Environmental Quality, Texas, USA
| | - D Helmig
- Institute of Arctic and Alpine Research, University of Colorado Boulder, Colorado, USA
| | - A Fried
- Institute of Arctic and Alpine Research, University of Colorado Boulder, Colorado, USA
| | - D Richter
- Institute of Arctic and Alpine Research, University of Colorado Boulder, Colorado, USA
| | - P Weibring
- Institute of Arctic and Alpine Research, University of Colorado Boulder, Colorado, USA
| | - J Walega
- Institute of Arctic and Alpine Research, University of Colorado Boulder, Colorado, USA
| | - D R Blake
- Department of Chemistry, University of California, Irvine, California, USA
| | - J W Hannigan
- National Center for Atmospheric Research, Boulder, Colorado, USA
| | - I Ortega
- National Center for Atmospheric Research, Boulder, Colorado, USA
| | - S Conway
- Department of Physics, University of Toronto, Toronto, Ontario, Canada
| | - K Strong
- Department of Physics, University of Toronto, Toronto, Ontario, Canada
| | - E V Fischer
- Department of Atmospheric Science, Colorado State University, Colorado, USA
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27
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Grevet JD, Lan X, Hamagami N, Edwards CR, Sankaranarayanan L, Ji X, Bhardwaj SK, Face CJ, Posocco DF, Abdulmalik O, Keller CA, Giardine B, Sidoli S, Garcia BA, Chou ST, Liebhaber SA, Hardison RC, Shi J, Blobel GA. Domain-focused CRISPR screen identifies HRI as a fetal hemoglobin regulator in human erythroid cells. Science 2018; 361:285-290. [PMID: 30026227 PMCID: PMC6257981 DOI: 10.1126/science.aao0932] [Citation(s) in RCA: 95] [Impact Index Per Article: 15.8] [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: 07/22/2017] [Revised: 04/15/2018] [Accepted: 06/13/2018] [Indexed: 12/14/2022]
Abstract
Increasing fetal hemoglobin (HbF) levels in adult red blood cells provides clinical benefit to patients with sickle cell disease and some forms of β-thalassemia. To identify potentially druggable HbF regulators in adult human erythroid cells, we employed a protein kinase domain-focused CRISPR-Cas9-based genetic screen with a newly optimized single-guide RNA scaffold. The screen uncovered the heme-regulated inhibitor HRI (also known as EIF2AK1), an erythroid-specific kinase that controls protein translation, as an HbF repressor. HRI depletion markedly increased HbF production in a specific manner and reduced sickling in cultured erythroid cells. Diminished expression of the HbF repressor BCL11A accounted in large part for the effects of HRI depletion. Taken together, these results suggest HRI as a potential therapeutic target for hemoglobinopathies.
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Affiliation(s)
- Jeremy D Grevet
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Xianjiang Lan
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Nicole Hamagami
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Christopher R Edwards
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | | | - Xinjun Ji
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Saurabh K Bhardwaj
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Carolyne J Face
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - David F Posocco
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Osheiza Abdulmalik
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Cheryl A Keller
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA 16802, USA
| | - Belinda Giardine
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA 16802, USA
| | - Simone Sidoli
- Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Ben A Garcia
- Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Stella T Chou
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Stephen A Liebhaber
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Ross C Hardison
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA 16802, USA
| | - Junwei Shi
- Department of Cancer Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
| | - Gerd A Blobel
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
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28
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Heuston EF, Keller CA, Lichtenberg J, Giardine B, Anderson SM, Hardison RC, Bodine DM. Establishment of regulatory elements during erythro-megakaryopoiesis identifies hematopoietic lineage-commitment points. Epigenetics Chromatin 2018; 11:22. [PMID: 29807547 PMCID: PMC5971425 DOI: 10.1186/s13072-018-0195-z] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2018] [Accepted: 05/21/2018] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Enhancers and promoters are cis-acting regulatory elements associated with lineage-specific gene expression. Previous studies showed that different categories of active regulatory elements are in regions of open chromatin, and each category is associated with a specific subset of post-translationally marked histones. These regulatory elements are systematically activated and repressed to promote commitment of hematopoietic stem cells along separate differentiation paths, including the closely related erythrocyte (ERY) and megakaryocyte (MK) lineages. However, the order in which these decisions are made remains unclear. RESULTS To characterize the order of cell fate decisions during hematopoiesis, we collected primary cells from mouse bone marrow and isolated 10 hematopoietic populations to generate transcriptomes and genome-wide maps of chromatin accessibility and histone H3 acetylated at lysine 27 binding (H3K27ac). Principle component analysis of transcriptional and open chromatin profiles demonstrated that cells of the megakaryocyte lineage group closely with multipotent progenitor populations, whereas erythroid cells form a separate group distinct from other populations. Using H3K27ac and open chromatin profiles, we showed that 89% of immature MK (iMK)-specific active regulatory regions are present in the most primitive hematopoietic cells, 46% of which contain active enhancer marks. These candidate active enhancers are enriched for transcription factor binding site motifs for megakaryopoiesis-essential proteins, including ERG and ETS1. In comparison, only 64% of ERY-specific active regulatory regions are present in the most primitive hematopoietic cells, 20% of which containing active enhancer marks. These regions were not enriched for any transcription factor consensus sequences. Incorporation of genome-wide DNA methylation identified significant levels of de novo methylation in iMK, but not ERY. CONCLUSIONS Our results demonstrate that megakaryopoietic profiles are established early in hematopoiesis and are present in the majority of the hematopoietic progenitor population. However, megakaryopoiesis does not constitute a "default" differentiation pathway, as extensive de novo DNA methylation accompanies megakaryopoietic commitment. In contrast, erythropoietic profiles are not established until a later stage of hematopoiesis, and require more dramatic changes to the transcriptional and epigenetic programs. These data provide important insights into lineage commitment and can contribute to ongoing studies related to diseases associated with differentiation defects.
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29
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Huang P, Keller CA, Giardine B, Grevet JD, Davies JOJ, Hughes JR, Kurita R, Nakamura Y, Hardison RC, Blobel GA. Comparative analysis of three-dimensional chromosomal architecture identifies a novel fetal hemoglobin regulatory element. Genes Dev 2017; 31:1704-1713. [PMID: 28916711 PMCID: PMC5647940 DOI: 10.1101/gad.303461.117] [Citation(s) in RCA: 88] [Impact Index Per Article: 12.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2017] [Accepted: 08/21/2017] [Indexed: 01/04/2023]
Abstract
In this study, Huang et al. compared the chromosomal architectures of fetal and adult human erythroblasts and found that, globally, chromatin structures and compartments A/B are highly similar at both developmental stages. Their results uncover a new critical regulatory region as a potential target for therapeutic genome editing for hemoglobinopathies and highlight the power of chromosome conformation analysis in discovering new cis control elements. Chromatin structure is tightly intertwined with transcription regulation. Here we compared the chromosomal architectures of fetal and adult human erythroblasts and found that, globally, chromatin structures and compartments A/B are highly similar at both developmental stages. At a finer scale, we detected distinct folding patterns at the developmentally controlled β-globin locus. Specifically, new fetal stage-specific contacts were uncovered between a region separating the fetal (γ) and adult (δ and β) globin genes (encompassing the HBBP1 and BGLT3 noncoding genes) and two distal chromosomal sites (HS5 and 3′HS1) that flank the locus. In contrast, in adult cells, the HBBP1–BGLT3 region contacts the embryonic ε-globin gene, physically separating the fetal globin genes from the enhancer (locus control region [LCR]). Deletion of the HBBP1 region in adult cells alters contact landscapes in ways more closely resembling those of fetal cells, including increased LCR–γ-globin contacts. These changes are accompanied by strong increases in γ-globin transcription. Notably, the effects of HBBP1 removal on chromatin architecture and gene expression closely mimic those of deleting the fetal globin repressor BCL11A, implicating BCL11A in the function of the HBBP1 region. Our results uncover a new critical regulatory region as a potential target for therapeutic genome editing for hemoglobinopathies and highlight the power of chromosome conformation analysis in discovering new cis control elements.
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Affiliation(s)
- Peng Huang
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA
| | - Cheryl A Keller
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Belinda Giardine
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Jeremy D Grevet
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA.,Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - James O J Davies
- Medical Research Council (MRC) Molecular Hematology Unit, Weatherall Institute of Molecular Medicine, Oxford University, Oxford OX3 9DS, United Kingdom
| | - Jim R Hughes
- Medical Research Council (MRC) Molecular Hematology Unit, Weatherall Institute of Molecular Medicine, Oxford University, Oxford OX3 9DS, United Kingdom
| | - Ryo Kurita
- Research and Development Department, Central Blood Institute, Blood Service Headquarters, Japanese Red Cross Society, Koto-ku, Tokyo 135-8521, Japan
| | - Yukio Nakamura
- Cell Engineering Division, RIKEN BioResource Center, Tsukuba, Ibaraki 305-0074, Japan
| | - Ross C Hardison
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Gerd A Blobel
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA.,Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
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Hsiung CCS, Bartman CR, Huang P, Ginart P, Stonestrom AJ, Keller CA, Face C, Jahn KS, Evans P, Sankaranarayanan L, Giardine B, Hardison RC, Raj A, Blobel GA. A hyperactive transcriptional state marks genome reactivation at the mitosis-G1 transition. Genes Dev 2017; 30:1423-39. [PMID: 27340175 PMCID: PMC4926865 DOI: 10.1101/gad.280859.116] [Citation(s) in RCA: 65] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2016] [Accepted: 05/23/2016] [Indexed: 01/07/2023]
Abstract
Hsiung et al. tracked Pol II occupancy genome-wide in mammalian cells progressing from mitosis through late G1. During the earliest rounds of transcription at the mitosis–G1 transition, ∼50% of active genes and distal enhancers exhibit a spike in transcription, exceeding levels observed later in G1 phase. The transcriptional spike occurs heterogeneously and propagates to cell-to-cell differences in mature mRNA expression. During mitosis, RNA polymerase II (Pol II) and many transcription factors dissociate from chromatin, and transcription ceases globally. Transcription is known to restart in bulk by telophase, but whether de novo transcription at the mitosis–G1 transition is in any way distinct from later in interphase remains unknown. We tracked Pol II occupancy genome-wide in mammalian cells progressing from mitosis through late G1. Unexpectedly, during the earliest rounds of transcription at the mitosis–G1 transition, ∼50% of active genes and distal enhancers exhibit a spike in transcription, exceeding levels observed later in G1 phase. Enhancer–promoter chromatin contacts are depleted during mitosis and restored rapidly upon G1 entry but do not spike. Of the chromatin-associated features examined, histone H3 Lys27 acetylation levels at individual loci in mitosis best predict the mitosis–G1 transcriptional spike. Single-molecule RNA imaging supports that the mitosis–G1 transcriptional spike can constitute the maximum transcriptional activity per DNA copy throughout the cell division cycle. The transcriptional spike occurs heterogeneously and propagates to cell-to-cell differences in mature mRNA expression. Our results raise the possibility that passage through the mitosis–G1 transition might predispose cells to diverge in gene expression states.
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Affiliation(s)
- Chris C-S Hsiung
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA; Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - Caroline R Bartman
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA; Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - Peng Huang
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA
| | - Paul Ginart
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA, Department of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - Aaron J Stonestrom
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA; Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - Cheryl A Keller
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Carolyne Face
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA
| | - Kristen S Jahn
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA
| | - Perry Evans
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA
| | - Laavanya Sankaranarayanan
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA
| | - Belinda Giardine
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Ross C Hardison
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Arjun Raj
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Gerd A Blobel
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA; Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
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Lichtenberg J, Heuston EF, Mishra T, Keller CA, Hardison RC, Bodine DM. SBR-Blood: systems biology repository for hematopoietic cells. Nucleic Acids Res 2015; 44:D925-31. [PMID: 26590403 PMCID: PMC4702891 DOI: 10.1093/nar/gkv1263] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2015] [Accepted: 11/04/2015] [Indexed: 12/14/2022] Open
Abstract
Extensive research into hematopoiesis (the development of blood cells) over several decades has generated large sets of expression and epigenetic profiles in multiple human and mouse blood cell types. However, there is no single location to analyze how gene regulatory processes lead to different mature blood cells. We have developed a new database framework called hematopoietic Systems Biology Repository (SBR-Blood), available online at http://sbrblood.nhgri.nih.gov, which allows user-initiated analyses for cell type correlations or gene-specific behavior during differentiation using publicly available datasets for array- and sequencing-based platforms from mouse hematopoietic cells. SBR-Blood organizes information by both cell identity and by hematopoietic lineage. The validity and usability of SBR-Blood has been established through the reproduction of workflows relevant to expression data, DNA methylation, histone modifications and transcription factor occupancy profiles.
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Affiliation(s)
- Jens Lichtenberg
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Elisabeth F Heuston
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Tejaswini Mishra
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA, USA
| | - Cheryl A Keller
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA, USA
| | - Ross C Hardison
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA, USA
| | - David M Bodine
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
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Jain D, Mishra T, Giardine BM, Keller CA, Morrissey CS, Magargee S, Dorman CM, Long M, Weiss MJ, Hardison RC. Dynamics of GATA1 binding and expression response in a GATA1-induced erythroid differentiation system. Genom Data 2015; 4:1-7. [PMID: 25729644 PMCID: PMC4338950 DOI: 10.1016/j.gdata.2015.01.008] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
During the maturation phase of mammalian erythroid differentiation, highly proliferative cells committed to the erythroid lineage undergo dramatic changes in morphology and function to produce circulating, enucleated erythrocytes. These changes are caused by equally dramatic alterations in gene expression, which in turn are driven by changes in the abundance and binding patterns of transcription factors such as GATA1. We have studied the dynamics of GATA1 binding by ChIP-seq and the global expression responses by RNA-seq in a GATA1-dependent mouse cell line model for erythroid maturation, in both cases examining seven progressive stages during differentiation. Analyses of these data should provide insights both into mechanisms of regulation (early versus late targets) and the consequences in cell physiology (e.g., distinctive categories of genes regulated at progressive stages of differentiation). The data are deposited in the Gene Expression Omnibus, series GSE36029, GSE40522, GSE49847, and GSE51338.
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Affiliation(s)
- Deepti Jain
- Center for Comparative Genomics and Bioinformatics, Pennsylvania State University, University Park, Pennsylvania 16802, USA ; Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Tejaswini Mishra
- Center for Comparative Genomics and Bioinformatics, Pennsylvania State University, University Park, Pennsylvania 16802, USA ; Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Belinda M Giardine
- Center for Comparative Genomics and Bioinformatics, Pennsylvania State University, University Park, Pennsylvania 16802, USA ; Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Cheryl A Keller
- Center for Comparative Genomics and Bioinformatics, Pennsylvania State University, University Park, Pennsylvania 16802, USA ; Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Christapher S Morrissey
- Center for Comparative Genomics and Bioinformatics, Pennsylvania State University, University Park, Pennsylvania 16802, USA ; Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Susan Magargee
- Center for Comparative Genomics and Bioinformatics, Pennsylvania State University, University Park, Pennsylvania 16802, USA ; Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Christine M Dorman
- Center for Comparative Genomics and Bioinformatics, Pennsylvania State University, University Park, Pennsylvania 16802, USA ; Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Maria Long
- Center for Comparative Genomics and Bioinformatics, Pennsylvania State University, University Park, Pennsylvania 16802, USA ; Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Mitchell J Weiss
- Dept of Hematology, St Jude Children's Research Hospital, Memphis TN 38105, USA
| | - Ross C Hardison
- Center for Comparative Genomics and Bioinformatics, Pennsylvania State University, University Park, Pennsylvania 16802, USA ; Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, Pennsylvania 16802, USA
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Dogan N, Wu W, Morrissey CS, Chen KB, Stonestrom A, Long M, Keller CA, Cheng Y, Jain D, Visel A, Pennacchio LA, Weiss MJ, Blobel GA, Hardison RC. Occupancy by key transcription factors is a more accurate predictor of enhancer activity than histone modifications or chromatin accessibility. Epigenetics Chromatin 2015; 8:16. [PMID: 25984238 PMCID: PMC4432502 DOI: 10.1186/s13072-015-0009-5] [Citation(s) in RCA: 89] [Impact Index Per Article: 9.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2015] [Accepted: 04/02/2015] [Indexed: 12/12/2022] Open
Abstract
Background Regulated gene expression controls organismal development, and variation in regulatory patterns has been implicated in complex traits. Thus accurate prediction of enhancers is important for further understanding of these processes. Genome-wide measurement of epigenetic features, such as histone modifications and occupancy by transcription factors, is improving enhancer predictions, but the contribution of these features to prediction accuracy is not known. Given the importance of the hematopoietic transcription factor TAL1 for erythroid gene activation, we predicted candidate enhancers based on genomic occupancy by TAL1 and measured their activity. Contributions of multiple features to enhancer prediction were evaluated based on the results of these and other studies. Results TAL1-bound DNA segments were active enhancers at a high rate both in transient transfections of cultured cells (39 of 79, or 56%) and transgenic mice (43 of 66, or 65%). The level of binding signal for TAL1 or GATA1 did not help distinguish TAL1-bound DNA segments as active versus inactive enhancers, nor did the density of regulation-related histone modifications. A meta-analysis of results from this and other studies (273 tested predicted enhancers) showed that the presence of TAL1, GATA1, EP300, SMAD1, H3K4 methylation, H3K27ac, and CAGE tags at DNase hypersensitive sites gave the most accurate predictors of enhancer activity, with a success rate over 80% and a median threefold increase in activity. Chromatin accessibility assays and the histone modifications H3K4me1 and H3K27ac were sensitive for finding enhancers, but they have high false positive rates unless transcription factor occupancy is also included. Conclusions Occupancy by key transcription factors such as TAL1, GATA1, SMAD1, and EP300, along with evidence of transcription, improves the accuracy of enhancer predictions based on epigenetic features. Electronic supplementary material The online version of this article (doi:10.1186/s13072-015-0009-5) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Nergiz Dogan
- Center for Comparative Genomics and Bioinformatics, Department of Biochemistry and Molecular Biology, The Pennsylvania State University, 304 Wartik Laboratory, University Park, PA 16802 USA
| | - Weisheng Wu
- Center for Comparative Genomics and Bioinformatics, Department of Biochemistry and Molecular Biology, The Pennsylvania State University, 304 Wartik Laboratory, University Park, PA 16802 USA ; Bioinformatics Core, Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109-2218 USA
| | - Christapher S Morrissey
- Center for Comparative Genomics and Bioinformatics, Department of Biochemistry and Molecular Biology, The Pennsylvania State University, 304 Wartik Laboratory, University Park, PA 16802 USA
| | - Kuan-Bei Chen
- Center for Comparative Genomics and Bioinformatics, Department of Biochemistry and Molecular Biology, The Pennsylvania State University, 304 Wartik Laboratory, University Park, PA 16802 USA
| | - Aaron Stonestrom
- Division of Hematology, The Children's Hospital of Philadelphia, 3401 Civic Center Boulevard, Philadelphia, PA 19104 USA ; Perelman School of Medicine at the University of Pennsylvania, 415 Curie Boulevard, Philadelphia, PA 19104 USA
| | - Maria Long
- Center for Comparative Genomics and Bioinformatics, Department of Biochemistry and Molecular Biology, The Pennsylvania State University, 304 Wartik Laboratory, University Park, PA 16802 USA
| | - Cheryl A Keller
- Center for Comparative Genomics and Bioinformatics, Department of Biochemistry and Molecular Biology, The Pennsylvania State University, 304 Wartik Laboratory, University Park, PA 16802 USA
| | - Yong Cheng
- Department of Genetics, Mail Stop-5120, Stanford University, Stanford, CA 94305 USA
| | - Deepti Jain
- Center for Comparative Genomics and Bioinformatics, Department of Biochemistry and Molecular Biology, The Pennsylvania State University, 304 Wartik Laboratory, University Park, PA 16802 USA
| | - Axel Visel
- Genomics Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Mailstop 84-171, Berkeley, CA 94720 USA ; DOE Joint Genome Institute, 2800 Mitchell Drive, Walnut Creek, CA 94598 USA
| | - Len A Pennacchio
- Genomics Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Mailstop 84-171, Berkeley, CA 94720 USA ; DOE Joint Genome Institute, 2800 Mitchell Drive, Walnut Creek, CA 94598 USA
| | - Mitchell J Weiss
- Department of Hematology, St Jude Children's Research Hospital, 262 Danny Thomas Place, Memphis, TN 38105 USA
| | - Gerd A Blobel
- Division of Hematology, The Children's Hospital of Philadelphia, 3401 Civic Center Boulevard, Philadelphia, PA 19104 USA ; Perelman School of Medicine at the University of Pennsylvania, 415 Curie Boulevard, Philadelphia, PA 19104 USA
| | - Ross C Hardison
- Center for Comparative Genomics and Bioinformatics, Department of Biochemistry and Molecular Biology, The Pennsylvania State University, 304 Wartik Laboratory, University Park, PA 16802 USA
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Yue F, Cheng Y, Breschi A, Vierstra J, Wu W, Ryba T, Sandstrom R, Ma Z, Davis C, Pope BD, Shen Y, Pervouchine DD, Djebali S, Thurman RE, Kaul R, Rynes E, Kirilusha A, Marinov GK, Williams BA, Trout D, Amrhein H, Fisher-Aylor K, Antoshechkin I, DeSalvo G, See LH, Fastuca M, Drenkow J, Zaleski C, Dobin A, Prieto P, Lagarde J, Bussotti G, Tanzer A, Denas O, Li K, Bender MA, Zhang M, Byron R, Groudine MT, McCleary D, Pham L, Ye Z, Kuan S, Edsall L, Wu YC, Rasmussen MD, Bansal MS, Kellis M, Keller CA, Morrissey CS, Mishra T, Jain D, Dogan N, Harris RS, Cayting P, Kawli T, Boyle AP, Euskirchen G, Kundaje A, Lin S, Lin Y, Jansen C, Malladi VS, Cline MS, Erickson DT, Kirkup VM, Learned K, Sloan CA, Rosenbloom KR, Lacerda de Sousa B, Beal K, Pignatelli M, Flicek P, Lian J, Kahveci T, Lee D, Kent WJ, Ramalho Santos M, Herrero J, Notredame C, Johnson A, Vong S, Lee K, Bates D, Neri F, Diegel M, Canfield T, Sabo PJ, Wilken MS, Reh TA, Giste E, Shafer A, Kutyavin T, Haugen E, Dunn D, Reynolds AP, Neph S, Humbert R, Hansen RS, De Bruijn M, Selleri L, Rudensky A, Josefowicz S, Samstein R, Eichler EE, Orkin SH, Levasseur D, Papayannopoulou T, Chang KH, Skoultchi A, Gosh S, Disteche C, Treuting P, Wang Y, Weiss MJ, Blobel GA, Cao X, Zhong S, Wang T, Good PJ, Lowdon RF, Adams LB, Zhou XQ, Pazin MJ, Feingold EA, Wold B, Taylor J, Mortazavi A, Weissman SM, Stamatoyannopoulos JA, Snyder MP, Guigo R, Gingeras TR, Gilbert DM, Hardison RC, Beer MA, Ren B. A comparative encyclopedia of DNA elements in the mouse genome. Nature 2015; 515:355-64. [PMID: 25409824 PMCID: PMC4266106 DOI: 10.1038/nature13992] [Citation(s) in RCA: 1135] [Impact Index Per Article: 126.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2014] [Accepted: 10/24/2014] [Indexed: 12/11/2022]
Abstract
The laboratory mouse shares the majority of its protein-coding genes with humans, making it the premier model organism in biomedical research, yet the two mammals differ in significant ways. To gain greater insights into both shared and species-specific transcriptional and cellular regulatory programs in the mouse, the Mouse ENCODE Consortium has mapped transcription, DNase I hypersensitivity, transcription factor binding, chromatin modifications and replication domains throughout the mouse genome in diverse cell and tissue types. By comparing with the human genome, we not only confirm substantial conservation in the newly annotated potential functional sequences, but also find a large degree of divergence of sequences involved in transcriptional regulation, chromatin state and higher order chromatin organization. Our results illuminate the wide range of evolutionary forces acting on genes and their regulatory regions, and provide a general resource for research into mammalian biology and mechanisms of human diseases.
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Affiliation(s)
- Feng Yue
- 1] Ludwig Institute for Cancer Research and University of California, San Diego School of Medicine, 9500 Gilman Drive, La Jolla, California 92093, USA. [2] Department of Biochemistry and Molecular Biology, College of Medicine, The Pennsylvania State University, Hershey, Pennsylvania 17033, USA
| | - Yong Cheng
- Department of Genetics, Stanford University, 300 Pasteur Drive, MC-5477 Stanford, California 94305, USA
| | - Alessandra Breschi
- Bioinformatics and Genomics, Centre for Genomic Regulation (CRG) and UPF, Doctor Aiguader, 88, 08003 Barcelona, Catalonia, Spain
| | - Jeff Vierstra
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Weisheng Wu
- Center for Comparative Genomics and Bioinformatics, Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Tyrone Ryba
- Department of Biological Science, 319 Stadium Drive, Florida State University, Tallahassee, Florida 32306-4295, USA
| | - Richard Sandstrom
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Zhihai Ma
- Department of Genetics, Stanford University, 300 Pasteur Drive, MC-5477 Stanford, California 94305, USA
| | - Carrie Davis
- Functional Genomics, Cold Spring Harbor Laboratory, Bungtown Road, Cold Spring Harbor, New York 11724, USA
| | - Benjamin D Pope
- Department of Biological Science, 319 Stadium Drive, Florida State University, Tallahassee, Florida 32306-4295, USA
| | - Yin Shen
- Ludwig Institute for Cancer Research and University of California, San Diego School of Medicine, 9500 Gilman Drive, La Jolla, California 92093, USA
| | - Dmitri D Pervouchine
- Bioinformatics and Genomics, Centre for Genomic Regulation (CRG) and UPF, Doctor Aiguader, 88, 08003 Barcelona, Catalonia, Spain
| | - Sarah Djebali
- Bioinformatics and Genomics, Centre for Genomic Regulation (CRG) and UPF, Doctor Aiguader, 88, 08003 Barcelona, Catalonia, Spain
| | - Robert E Thurman
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Rajinder Kaul
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Eric Rynes
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Anthony Kirilusha
- Division of Biology, California Institute of Technology, Pasadena, California 91125, USA
| | - Georgi K Marinov
- Division of Biology, California Institute of Technology, Pasadena, California 91125, USA
| | - Brian A Williams
- Division of Biology, California Institute of Technology, Pasadena, California 91125, USA
| | - Diane Trout
- Division of Biology, California Institute of Technology, Pasadena, California 91125, USA
| | - Henry Amrhein
- Division of Biology, California Institute of Technology, Pasadena, California 91125, USA
| | - Katherine Fisher-Aylor
- Division of Biology, California Institute of Technology, Pasadena, California 91125, USA
| | - Igor Antoshechkin
- Division of Biology, California Institute of Technology, Pasadena, California 91125, USA
| | - Gilberto DeSalvo
- Division of Biology, California Institute of Technology, Pasadena, California 91125, USA
| | - Lei-Hoon See
- Functional Genomics, Cold Spring Harbor Laboratory, Bungtown Road, Cold Spring Harbor, New York 11724, USA
| | - Meagan Fastuca
- Functional Genomics, Cold Spring Harbor Laboratory, Bungtown Road, Cold Spring Harbor, New York 11724, USA
| | - Jorg Drenkow
- Functional Genomics, Cold Spring Harbor Laboratory, Bungtown Road, Cold Spring Harbor, New York 11724, USA
| | - Chris Zaleski
- Functional Genomics, Cold Spring Harbor Laboratory, Bungtown Road, Cold Spring Harbor, New York 11724, USA
| | - Alex Dobin
- Functional Genomics, Cold Spring Harbor Laboratory, Bungtown Road, Cold Spring Harbor, New York 11724, USA
| | - Pablo Prieto
- Bioinformatics and Genomics, Centre for Genomic Regulation (CRG) and UPF, Doctor Aiguader, 88, 08003 Barcelona, Catalonia, Spain
| | - Julien Lagarde
- Bioinformatics and Genomics, Centre for Genomic Regulation (CRG) and UPF, Doctor Aiguader, 88, 08003 Barcelona, Catalonia, Spain
| | - Giovanni Bussotti
- Bioinformatics and Genomics, Centre for Genomic Regulation (CRG) and UPF, Doctor Aiguader, 88, 08003 Barcelona, Catalonia, Spain
| | - Andrea Tanzer
- 1] Bioinformatics and Genomics, Centre for Genomic Regulation (CRG) and UPF, Doctor Aiguader, 88, 08003 Barcelona, Catalonia, Spain. [2] Department of Theoretical Chemistry, Faculty of Chemistry, University of Vienna, Waehringerstrasse 17/3/303, A-1090 Vienna, Austria
| | - Olgert Denas
- Departments of Biology and Mathematics and Computer Science, Emory University, O. Wayne Rollins Research Center, 1510 Clifton Road NE, Atlanta, Georgia 30322, USA
| | - Kanwei Li
- Departments of Biology and Mathematics and Computer Science, Emory University, O. Wayne Rollins Research Center, 1510 Clifton Road NE, Atlanta, Georgia 30322, USA
| | - M A Bender
- 1] Department of Pediatrics, University of Washington, Seattle, Washington 98195, USA. [2] Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA
| | - Miaohua Zhang
- Basic Science Division, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA
| | - Rachel Byron
- Basic Science Division, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA
| | - Mark T Groudine
- 1] Basic Science Division, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA. [2] Department of Radiation Oncology, University of Washington, Seattle, Washington 98195, USA
| | - David McCleary
- Ludwig Institute for Cancer Research and University of California, San Diego School of Medicine, 9500 Gilman Drive, La Jolla, California 92093, USA
| | - Long Pham
- Ludwig Institute for Cancer Research and University of California, San Diego School of Medicine, 9500 Gilman Drive, La Jolla, California 92093, USA
| | - Zhen Ye
- Ludwig Institute for Cancer Research and University of California, San Diego School of Medicine, 9500 Gilman Drive, La Jolla, California 92093, USA
| | - Samantha Kuan
- Ludwig Institute for Cancer Research and University of California, San Diego School of Medicine, 9500 Gilman Drive, La Jolla, California 92093, USA
| | - Lee Edsall
- Ludwig Institute for Cancer Research and University of California, San Diego School of Medicine, 9500 Gilman Drive, La Jolla, California 92093, USA
| | - Yi-Chieh Wu
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - Matthew D Rasmussen
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - Mukul S Bansal
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - Manolis Kellis
- 1] Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA. [2] Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA
| | - Cheryl A Keller
- Center for Comparative Genomics and Bioinformatics, Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Christapher S Morrissey
- Center for Comparative Genomics and Bioinformatics, Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Tejaswini Mishra
- Center for Comparative Genomics and Bioinformatics, Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Deepti Jain
- Center for Comparative Genomics and Bioinformatics, Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Nergiz Dogan
- Center for Comparative Genomics and Bioinformatics, Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Robert S Harris
- Center for Comparative Genomics and Bioinformatics, Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Philip Cayting
- Department of Genetics, Stanford University, 300 Pasteur Drive, MC-5477 Stanford, California 94305, USA
| | - Trupti Kawli
- Department of Genetics, Stanford University, 300 Pasteur Drive, MC-5477 Stanford, California 94305, USA
| | - Alan P Boyle
- Department of Genetics, Stanford University, 300 Pasteur Drive, MC-5477 Stanford, California 94305, USA
| | - Ghia Euskirchen
- Department of Genetics, Stanford University, 300 Pasteur Drive, MC-5477 Stanford, California 94305, USA
| | - Anshul Kundaje
- Department of Genetics, Stanford University, 300 Pasteur Drive, MC-5477 Stanford, California 94305, USA
| | - Shin Lin
- Department of Genetics, Stanford University, 300 Pasteur Drive, MC-5477 Stanford, California 94305, USA
| | - Yiing Lin
- Department of Genetics, Stanford University, 300 Pasteur Drive, MC-5477 Stanford, California 94305, USA
| | - Camden Jansen
- Department of Developmental and Cell Biology, University of California, Irvine, Irvine, California 92697, USA
| | - Venkat S Malladi
- Department of Genetics, Stanford University, 300 Pasteur Drive, MC-5477 Stanford, California 94305, USA
| | - Melissa S Cline
- Center for Biomolecular Science and Engineering, School of Engineering, University of California Santa Cruz (UCSC), Santa Cruz, California 95064, USA
| | - Drew T Erickson
- Department of Genetics, Stanford University, 300 Pasteur Drive, MC-5477 Stanford, California 94305, USA
| | - Vanessa M Kirkup
- Center for Biomolecular Science and Engineering, School of Engineering, University of California Santa Cruz (UCSC), Santa Cruz, California 95064, USA
| | - Katrina Learned
- Center for Biomolecular Science and Engineering, School of Engineering, University of California Santa Cruz (UCSC), Santa Cruz, California 95064, USA
| | - Cricket A Sloan
- Department of Genetics, Stanford University, 300 Pasteur Drive, MC-5477 Stanford, California 94305, USA
| | - Kate R Rosenbloom
- Center for Biomolecular Science and Engineering, School of Engineering, University of California Santa Cruz (UCSC), Santa Cruz, California 95064, USA
| | - Beatriz Lacerda de Sousa
- Departments of Obstetrics/Gynecology and Pathology, and Center for Reproductive Sciences, University of California San Francisco, San Francisco, California 94143, USA
| | - Kathryn Beal
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Miguel Pignatelli
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Paul Flicek
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Jin Lian
- Yale University, Department of Genetics, PO Box 208005, 333 Cedar Street, New Haven, Connecticut 06520-8005, USA
| | - Tamer Kahveci
- Computer &Information Sciences &Engineering, University of Florida, Gainesville, Florida 32611, USA
| | - Dongwon Lee
- McKusick-Nathans Institute of Genetic Medicine and Department of Biomedical Engineering, Johns Hopkins University, 733 N. Broadway, BRB 573 Baltimore, Maryland 21205, USA
| | - W James Kent
- Center for Biomolecular Science and Engineering, School of Engineering, University of California Santa Cruz (UCSC), Santa Cruz, California 95064, USA
| | - Miguel Ramalho Santos
- Departments of Obstetrics/Gynecology and Pathology, and Center for Reproductive Sciences, University of California San Francisco, San Francisco, California 94143, USA
| | - Javier Herrero
- 1] European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK. [2] Bill Lyons Informatics Centre, UCL Cancer Institute, University College London, London WC1E 6DD, UK
| | - Cedric Notredame
- Bioinformatics and Genomics, Centre for Genomic Regulation (CRG) and UPF, Doctor Aiguader, 88, 08003 Barcelona, Catalonia, Spain
| | - Audra Johnson
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Shinny Vong
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Kristen Lee
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Daniel Bates
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Fidencio Neri
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Morgan Diegel
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Theresa Canfield
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Peter J Sabo
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Matthew S Wilken
- Department of Biological Structure, University of Washington, HSB I-516, 1959 NE Pacific Street, Seattle, Washington 98195, USA
| | - Thomas A Reh
- Department of Biological Structure, University of Washington, HSB I-516, 1959 NE Pacific Street, Seattle, Washington 98195, USA
| | - Erika Giste
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Anthony Shafer
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Tanya Kutyavin
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Eric Haugen
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Douglas Dunn
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Alex P Reynolds
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Shane Neph
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Richard Humbert
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - R Scott Hansen
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Marella De Bruijn
- MRC Molecular Haemotology Unit, University of Oxford, Oxford OX3 9DS, UK
| | - Licia Selleri
- Department of Cell and Developmental Biology, Weill Cornell Medical College, New York, New York 10065, USA
| | - Alexander Rudensky
- HHMI and Ludwig Center at Memorial Sloan Kettering Cancer Center, Immunology Program, Memorial Sloan Kettering Cancer Canter, New York, New York 10065, USA
| | - Steven Josefowicz
- HHMI and Ludwig Center at Memorial Sloan Kettering Cancer Center, Immunology Program, Memorial Sloan Kettering Cancer Canter, New York, New York 10065, USA
| | - Robert Samstein
- HHMI and Ludwig Center at Memorial Sloan Kettering Cancer Center, Immunology Program, Memorial Sloan Kettering Cancer Canter, New York, New York 10065, USA
| | - Evan E Eichler
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Stuart H Orkin
- Dana Farber Cancer Institute, Harvard Medical School, Cambridge, Massachusetts 02138, USA
| | - Dana Levasseur
- University of Iowa Carver College of Medicine, Department of Internal Medicine, Iowa City, Iowa 52242, USA
| | - Thalia Papayannopoulou
- Division of Hematology, Department of Medicine, University of Washington, Seattle, Washington 98195, USA
| | - Kai-Hsin Chang
- University of Iowa Carver College of Medicine, Department of Internal Medicine, Iowa City, Iowa 52242, USA
| | - Arthur Skoultchi
- Department of Cell Biology, Albert Einstein College of Medicine, Bronx, New York 10461, USA
| | - Srikanta Gosh
- Department of Cell Biology, Albert Einstein College of Medicine, Bronx, New York 10461, USA
| | - Christine Disteche
- Department of Pathology, University of Washington, Seattle, Washington 98195, USA
| | - Piper Treuting
- Department of Comparative Medicine, University of Washington, Seattle, Washington 98195, USA
| | - Yanli Wang
- Bioinformatics and Genomics program, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Mitchell J Weiss
- Department of Hematology, St Jude Children's Research Hospital, Memphis, Tennessee 38105, USA
| | - Gerd A Blobel
- 1] Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA. [2] Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - Xiaoyi Cao
- Department of Bioengineering, University of California, San Diego, 9500 Gilman Drive, La Jolla, California 92093, USA
| | - Sheng Zhong
- Department of Bioengineering, University of California, San Diego, 9500 Gilman Drive, La Jolla, California 92093, USA
| | - Ting Wang
- Department of Genetics, Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, Missouri 63108, USA
| | - Peter J Good
- NHGRI, National Institutes of Health, 5635 Fishers Lane, Bethesda, Maryland 20892-9307, USA
| | - Rebecca F Lowdon
- NHGRI, National Institutes of Health, 5635 Fishers Lane, Bethesda, Maryland 20892-9307, USA
| | - Leslie B Adams
- NHGRI, National Institutes of Health, 5635 Fishers Lane, Bethesda, Maryland 20892-9307, USA
| | - Xiao-Qiao Zhou
- NHGRI, National Institutes of Health, 5635 Fishers Lane, Bethesda, Maryland 20892-9307, USA
| | - Michael J Pazin
- NHGRI, National Institutes of Health, 5635 Fishers Lane, Bethesda, Maryland 20892-9307, USA
| | - Elise A Feingold
- NHGRI, National Institutes of Health, 5635 Fishers Lane, Bethesda, Maryland 20892-9307, USA
| | - Barbara Wold
- Division of Biology, California Institute of Technology, Pasadena, California 91125, USA
| | - James Taylor
- Departments of Biology and Mathematics and Computer Science, Emory University, O. Wayne Rollins Research Center, 1510 Clifton Road NE, Atlanta, Georgia 30322, USA
| | - Ali Mortazavi
- Department of Developmental and Cell Biology, University of California, Irvine, Irvine, California 92697, USA
| | - Sherman M Weissman
- Yale University, Department of Genetics, PO Box 208005, 333 Cedar Street, New Haven, Connecticut 06520-8005, USA
| | | | - Michael P Snyder
- Department of Genetics, Stanford University, 300 Pasteur Drive, MC-5477 Stanford, California 94305, USA
| | - Roderic Guigo
- Bioinformatics and Genomics, Centre for Genomic Regulation (CRG) and UPF, Doctor Aiguader, 88, 08003 Barcelona, Catalonia, Spain
| | - Thomas R Gingeras
- Functional Genomics, Cold Spring Harbor Laboratory, Bungtown Road, Cold Spring Harbor, New York 11724, USA
| | - David M Gilbert
- Department of Biological Science, 319 Stadium Drive, Florida State University, Tallahassee, Florida 32306-4295, USA
| | - Ross C Hardison
- Center for Comparative Genomics and Bioinformatics, Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Michael A Beer
- McKusick-Nathans Institute of Genetic Medicine and Department of Biomedical Engineering, Johns Hopkins University, 733 N. Broadway, BRB 573 Baltimore, Maryland 21205, USA
| | - Bing Ren
- Ludwig Institute for Cancer Research and University of California, San Diego School of Medicine, 9500 Gilman Drive, La Jolla, California 92093, USA
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35
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Cheng Y, Ma Z, Kim BH, Wu W, Cayting P, Boyle AP, Sundaram V, Xing X, Dogan N, Li J, Euskirchen G, Lin S, Lin Y, Visel A, Kawli T, Yang X, Patacsil D, Keller CA, Giardine B, Kundaje A, Wang T, Pennacchio LA, Weng Z, Hardison RC, Snyder MP. Principles of regulatory information conservation between mouse and human. Nature 2015; 515:371-375. [PMID: 25409826 PMCID: PMC4343047 DOI: 10.1038/nature13985] [Citation(s) in RCA: 189] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2014] [Accepted: 10/21/2014] [Indexed: 11/09/2022]
Abstract
To broaden our understanding of the evolution of gene regulation mechanisms, we generated occupancy profiles for 34 orthologous transcription factors (TFs) in human-mouse erythroid progenitor, lymphoblast and embryonic stem-cell lines. By combining the genome-wide transcription factor occupancy repertoires, associated epigenetic signals, and co-association patterns, here we deduce several evolutionary principles of gene regulatory features operating since the mouse and human lineages diverged. The genomic distribution profiles, primary binding motifs, chromatin states, and DNA methylation preferences are well conserved for TF-occupied sequences. However, the extent to which orthologous DNA segments are bound by orthologous TFs varies both among TFs and with genomic location: binding at promoters is more highly conserved than binding at distal elements. Notably, occupancy-conserved TF-occupied sequences tend to be pleiotropic; they function in several tissues and also co-associate with many TFs. Single nucleotide variants at sites with potential regulatory functions are enriched in occupancy-conserved TF-occupied sequences.
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Affiliation(s)
- Yong Cheng
- Department of Genetics, Stanford University, Stanford, CA 94305, USA
| | - Zhihai Ma
- Department of Genetics, Stanford University, Stanford, CA 94305, USA
| | - Bong-Hyun Kim
- Program in Bioinformatics and Integrative Biology, Department of Biochemistry and Molecular Pharmacology, University of Massachusetts Medical School, Worcester, MA 01605, USA
| | - Weisheng Wu
- Center for Comparative Genomics and Bioinformatics, Huck Institutes of the Life Sciences, Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA 16802, USA
| | - Philip Cayting
- Department of Genetics, Stanford University, Stanford, CA 94305, USA
| | - Alan P Boyle
- Department of Genetics, Stanford University, Stanford, CA 94305, USA
| | - Vasavi Sundaram
- Department of Genetics, Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO 63108, USA
| | - Xiaoyun Xing
- Department of Genetics, Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO 63108, USA
| | - Nergiz Dogan
- Center for Comparative Genomics and Bioinformatics, Huck Institutes of the Life Sciences, Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA 16802, USA
| | - Jingjing Li
- Department of Genetics, Stanford University, Stanford, CA 94305, USA
| | - Ghia Euskirchen
- Department of Genetics, Stanford University, Stanford, CA 94305, USA
| | - Shin Lin
- Department of Genetics, Stanford University, Stanford, CA 94305, USA.,Division of Cardiovascular Medicine, Stanford University, Stanford, CA 94304, USA
| | - Yiing Lin
- Department of Genetics, Stanford University, Stanford, CA 94305, USA.,Department of Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Axel Visel
- Lawrence Berkeley National Laboratory, Genomics Division, Berkeley, CA 94701,USA.,Department of Energy Joint Genome Institute, Walnut Creek, CA 94598, USA.,School of Natural Sciences, University of California, Merced, CA 95343,USA
| | - Trupti Kawli
- Department of Genetics, Stanford University, Stanford, CA 94305, USA
| | - Xinqiong Yang
- Department of Genetics, Stanford University, Stanford, CA 94305, USA
| | - Dorrelyn Patacsil
- Department of Genetics, Stanford University, Stanford, CA 94305, USA
| | - Cheryl A Keller
- Center for Comparative Genomics and Bioinformatics, Huck Institutes of the Life Sciences, Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA 16802, USA
| | - Belinda Giardine
- Center for Comparative Genomics and Bioinformatics, Huck Institutes of the Life Sciences, Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA 16802, USA
| | | | - Anshul Kundaje
- Department of Genetics, Stanford University, Stanford, CA 94305, USA
| | - Ting Wang
- Department of Genetics, Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO 63108, USA
| | - Len A Pennacchio
- Lawrence Berkeley National Laboratory, Genomics Division, Berkeley, CA 94701,USA.,Department of Energy Joint Genome Institute, Walnut Creek, CA 94598, USA
| | - Zhiping Weng
- Program in Bioinformatics and Integrative Biology, Department of Biochemistry and Molecular Pharmacology, University of Massachusetts Medical School, Worcester, MA 01605, USA
| | - Ross C Hardison
- Center for Comparative Genomics and Bioinformatics, Huck Institutes of the Life Sciences, Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA 16802, USA
| | - Michael P Snyder
- Department of Genetics, Stanford University, Stanford, CA 94305, USA
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36
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Hsiung CCS, Morrissey CS, Udugama M, Frank CL, Keller CA, Baek S, Giardine B, Crawford GE, Sung MH, Hardison RC, Blobel GA. Genome accessibility is widely preserved and locally modulated during mitosis. Genome Res 2014; 25:213-25. [PMID: 25373146 PMCID: PMC4315295 DOI: 10.1101/gr.180646.114] [Citation(s) in RCA: 79] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
Mitosis entails global alterations to chromosome structure and nuclear architecture, concomitant with transient silencing of transcription. How cells transmit transcriptional states through mitosis remains incompletely understood. While many nuclear factors dissociate from mitotic chromosomes, the observation that certain nuclear factors and chromatin features remain associated with individual loci during mitosis originated the hypothesis that such mitotically retained molecular signatures could provide transcriptional memory through mitosis. To understand the role of chromatin structure in mitotic memory, we performed the first genome-wide comparison of DNase I sensitivity of chromatin in mitosis and interphase, using a murine erythroblast model. Despite chromosome condensation during mitosis visible by microscopy, the landscape of chromatin accessibility at the macromolecular level is largely unaltered. However, mitotic chromatin accessibility is locally dynamic, with individual loci maintaining none, some, or all of their interphase accessibility. Mitotic reduction in accessibility occurs primarily within narrow, highly DNase hypersensitive sites that frequently coincide with transcription factor binding sites, whereas broader domains of moderate accessibility tend to be more stable. In mitosis, proximal promoters generally maintain their accessibility more strongly, whereas distal regulatory elements tend to lose accessibility. Large domains of DNA hypomethylation mark a subset of promoters that retain accessibility during mitosis and across many cell types in interphase. Erythroid transcription factor GATA1 exerts site-specific changes in interphase accessibility that are most pronounced at distal regulatory elements, but has little influence on mitotic accessibility. We conclude that features of open chromatin are remarkably stable through mitosis, but are modulated at the level of individual genes and regulatory elements.
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Affiliation(s)
- Chris C-S Hsiung
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA; Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - Christapher S Morrissey
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Maheshi Udugama
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA
| | - Christopher L Frank
- Institute for Genome Sciences and Policy, Duke University, Durham, North Carolina 27708, USA
| | - Cheryl A Keller
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Songjoon Baek
- Laboratory of Receptor Biology and Gene Expression, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Belinda Giardine
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Gregory E Crawford
- Center for Genomic and Computational Biology, Duke University, Durham, North Carolina 27708, USA; Department of Pediatrics, Division of Medical Genetics, Duke University, Durham, North Carolina 27708, USA
| | - Myong-Hee Sung
- Laboratory of Receptor Biology and Gene Expression, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Ross C Hardison
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Gerd A Blobel
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA;
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37
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Pimkin M, Kossenkov AV, Mishra T, Morrissey CS, Wu W, Keller CA, Blobel GA, Lee D, Beer MA, Hardison RC, Weiss MJ. Divergent functions of hematopoietic transcription factors in lineage priming and differentiation during erythro-megakaryopoiesis. Genome Res 2014; 24:1932-44. [PMID: 25319996 PMCID: PMC4248311 DOI: 10.1101/gr.164178.113] [Citation(s) in RCA: 74] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Combinatorial actions of relatively few transcription factors control hematopoietic differentiation. To investigate this process in erythro-megakaryopoiesis, we correlated the genome-wide chromatin occupancy signatures of four master hematopoietic transcription factors (GATA1, GATA2, TAL1, and FLI1) and three diagnostic histone modification marks with the gene expression changes that occur during development of primary cultured megakaryocytes (MEG) and primary erythroblasts (ERY) from murine fetal liver hematopoietic stem/progenitor cells. We identified a robust, genome-wide mechanism of MEG-specific lineage priming by a previously described stem/progenitor cell-expressed transcription factor heptad (GATA2, LYL1, TAL1, FLI1, ERG, RUNX1, LMO2) binding to MEG-associated cis-regulatory modules (CRMs) in multipotential progenitors. This is followed by genome-wide GATA factor switching that mediates further induction of MEG-specific genes following lineage commitment. Interaction between GATA and ETS factors appears to be a key determinant of these processes. In contrast, ERY-specific lineage priming is biased toward GATA2-independent mechanisms. In addition to its role in MEG lineage priming, GATA2 plays an extensive role in late megakaryopoiesis as a transcriptional repressor at loci defined by a specific DNA signature. Our findings reveal important new insights into how ERY and MEG lineages arise from a common bipotential progenitor via overlapping and divergent functions of shared hematopoietic transcription factors.
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Affiliation(s)
- Maxim Pimkin
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA; Pediatric Residency Program, Department of Pediatrics, Children's Hospital of Pittsburgh of UPMC, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania 15224, USA
| | - Andrew V Kossenkov
- Center for Systems and Computational Biology, The Wistar Institute, Philadelphia 19019, Pennsylvania, USA
| | - Tejaswini Mishra
- Center for Comparative Genomics and Bioinformatics, Pennsylvania State University, University Park, Pennsylvania 16802, USA; Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Christapher S Morrissey
- Center for Comparative Genomics and Bioinformatics, Pennsylvania State University, University Park, Pennsylvania 16802, USA; Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Weisheng Wu
- Center for Comparative Genomics and Bioinformatics, Pennsylvania State University, University Park, Pennsylvania 16802, USA; Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Cheryl A Keller
- Center for Comparative Genomics and Bioinformatics, Pennsylvania State University, University Park, Pennsylvania 16802, USA; Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Gerd A Blobel
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA; University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania 19104, USA
| | - Dongwon Lee
- McKusick-Nathans Institute of Genetic Medicine and Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, USA
| | - Michael A Beer
- McKusick-Nathans Institute of Genetic Medicine and Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, USA
| | - Ross C Hardison
- Center for Comparative Genomics and Bioinformatics, Pennsylvania State University, University Park, Pennsylvania 16802, USA; Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Mitchell J Weiss
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA;
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38
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Wu W, Morrissey CS, Keller CA, Mishra T, Pimkin M, Blobel GA, Weiss MJ, Hardison RC. Dynamic shifts in occupancy by TAL1 are guided by GATA factors and drive large-scale reprogramming of gene expression during hematopoiesis. Genome Res 2014; 24:1945-62. [PMID: 25319994 PMCID: PMC4248312 DOI: 10.1101/gr.164830.113] [Citation(s) in RCA: 56] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
We used mouse ENCODE data along with complementary data from other laboratories to study the dynamics of occupancy and the role in gene regulation of the transcription factor TAL1, a critical regulator of hematopoiesis, at multiple stages of hematopoietic differentiation. We combined ChIP-seq and RNA-seq data in six mouse cell types representing a progression from multilineage precursors to differentiated erythroblasts and megakaryocytes. We found that sites of occupancy shift dramatically during commitment to the erythroid lineage, vary further during terminal maturation, and are strongly associated with changes in gene expression. In multilineage progenitors, the likely target genes are enriched for hematopoietic growth and functions associated with the mature cells of specific daughter lineages (such as megakaryocytes). In contrast, target genes in erythroblasts are specifically enriched for red cell functions. Furthermore, shifts in TAL1 occupancy during erythroid differentiation are associated with gene repression (dissociation) and induction (co-occupancy with GATA1). Based on both enrichment for transcription factor binding site motifs and co-occupancy determined by ChIP-seq, recruitment by GATA transcription factors appears to be a stronger determinant of TAL1 binding to chromatin than the canonical E-box binding site motif. Studies of additional proteins lead to the model that TAL1 regulates expression after being directed to a distinct subset of genomic binding sites in each cell type via its association with different complexes containing master regulators such as GATA2, ERG, and RUNX1 in multilineage cells and the lineage-specific master regulator GATA1 in erythroblasts.
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Affiliation(s)
- Weisheng Wu
- Center for Comparative Genomics and Bioinformatics, Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Christapher S Morrissey
- Center for Comparative Genomics and Bioinformatics, Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Cheryl A Keller
- Center for Comparative Genomics and Bioinformatics, Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Tejaswini Mishra
- Center for Comparative Genomics and Bioinformatics, Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Maxim Pimkin
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA
| | - Gerd A Blobel
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA; Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - Mitchell J Weiss
- Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA; Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - Ross C Hardison
- Center for Comparative Genomics and Bioinformatics, Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
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39
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Stamatoyannopoulos JA, Snyder M, Hardison R, Ren B, Gingeras T, Gilbert DM, Groudine M, Bender M, Kaul R, Canfield T, Giste E, Johnson A, Zhang M, Balasundaram G, Byron R, Roach V, Sabo PJ, Sandstrom R, Stehling AS, Thurman RE, Weissman SM, Cayting P, Hariharan M, Lian J, Cheng Y, Landt SG, Ma Z, Wold BJ, Dekker J, Crawford GE, Keller CA, Wu W, Morrissey C, Kumar SA, Mishra T, Jain D, Byrska-Bishop M, Blankenberg D, Lajoie1 BR, Jain G, Sanyal A, Chen KB, Denas O, Taylor J, Blobel GA, Weiss MJ, Pimkin M, Deng W, Marinov GK, Williams BA, Fisher-Aylor KI, Desalvo G, Kiralusha A, Trout D, Amrhein H, Mortazavi A, Edsall L, McCleary D, Kuan S, Shen Y, Yue F, Ye Z, Davis CA, Zaleski C, Jha S, Xue C, Dobin A, Lin W, Fastuca M, Wang H, Guigo R, Djebali S, Lagarde J, Ryba T, Sasaki T, Malladi VS, Cline MS, Kirkup VM, Learned K, Rosenbloom KR, Kent WJ, Feingold EA, Good PJ, Pazin M, Lowdon RF, Adams LB. An encyclopedia of mouse DNA elements (Mouse ENCODE). Genome Biol 2012; 13:418. [PMID: 22889292 PMCID: PMC3491367 DOI: 10.1186/gb-2012-13-8-418] [Citation(s) in RCA: 343] [Impact Index Per Article: 28.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/04/2022] Open
Abstract
To complement the human Encyclopedia of DNA Elements (ENCODE) project and to enable a broad range of mouse genomics efforts, the Mouse ENCODE Consortium is applying the same experimental pipelines developed for human ENCODE to annotate the mouse genome.
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Affiliation(s)
- John A Stamatoyannopoulos
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, Washington, USA
| | - Michael Snyder
- Department of Genetics, Stanford University School of Medicine, Stanford, California, USA
| | - Ross Hardison
- Center for Comparative Genomics and Bioinformatics, Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, Pennsylvania, USA
| | - Bing Ren
- Department of Cellular and Molecular Medicine, Institute of Genomic Medicine, University of California San Diego, La Jolla, California, USA
| | - Thomas Gingeras
- Dept. of Functional Genomics, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, USA
| | - David M Gilbert
- Department of Biological Science, Florida State University, Tallahassee, Florida, USA
| | - Mark Groudine
- Basic Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Michael Bender
- Basic Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Rajinder Kaul
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, Washington, USA
| | - Theresa Canfield
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, Washington, USA
| | - Erica Giste
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, Washington, USA
| | - Audra Johnson
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, Washington, USA
| | - Mia Zhang
- Basic Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Gayathri Balasundaram
- Basic Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Rachel Byron
- Basic Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Vaughan Roach
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, Washington, USA
| | - Peter J Sabo
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, Washington, USA
| | - Richard Sandstrom
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, Washington, USA
| | - A Sandra Stehling
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, Washington, USA
| | - Robert E Thurman
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, Washington, USA
| | | | - Philip Cayting
- Department of Genetics, Yale University, New Haven, Connecticut, USA
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, Connecticut, USA
| | - Manoj Hariharan
- Department of Genetics, Stanford University School of Medicine, Stanford, California, USA
| | - Jin Lian
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut, USA
| | - Yong Cheng
- Department of Genetics, Stanford University School of Medicine, Stanford, California, USA
| | - Stephen G Landt
- Department of Genetics, Stanford University School of Medicine, Stanford, California, USA
| | - Zhihai Ma
- Department of Genetics, Stanford University School of Medicine, Stanford, California, USA
| | - Barbara J Wold
- Div. of Biology, California Institute of Technology, Pasadena, California, USA
| | - Job Dekker
- Department of Biochemistry and Molecular Pharmacology, University of Massachusetts Medical School, Worcester, Massachussetts, USA
| | - Gregory E Crawford
- Institute for Genome Sciences and Policy, Duke University, Durham, North Carolina, USA
- Department of Pediatrics, Duke University, Durham, North Carolina, USA
| | - Cheryl A Keller
- Center for Comparative Genomics and Bioinformatics, Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, Pennsylvania, USA
| | - Weisheng Wu
- Center for Comparative Genomics and Bioinformatics, Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, Pennsylvania, USA
| | - Christopher Morrissey
- Center for Comparative Genomics and Bioinformatics, Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, Pennsylvania, USA
| | - Swathi A Kumar
- Center for Comparative Genomics and Bioinformatics, Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, Pennsylvania, USA
| | - Tejaswini Mishra
- Center for Comparative Genomics and Bioinformatics, Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, Pennsylvania, USA
| | - Deepti Jain
- Center for Comparative Genomics and Bioinformatics, Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, Pennsylvania, USA
| | - Marta Byrska-Bishop
- Center for Comparative Genomics and Bioinformatics, Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, Pennsylvania, USA
| | - Daniel Blankenberg
- Center for Comparative Genomics and Bioinformatics, Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, Pennsylvania, USA
| | - Bryan R Lajoie1
- Department of Genetics, Stanford University School of Medicine, Stanford, California, USA
| | - Gaurav Jain
- Department of Biochemistry and Molecular Pharmacology, University of Massachusetts Medical School, Worcester, Massachussetts, USA
| | - Amartya Sanyal
- Department of Biochemistry and Molecular Pharmacology, University of Massachusetts Medical School, Worcester, Massachussetts, USA
| | - Kaun-Bei Chen
- Institute for Genome Sciences and Policy, Duke University, Durham, North Carolina, USA
| | - Olgert Denas
- Institute for Genome Sciences and Policy, Duke University, Durham, North Carolina, USA
| | - James Taylor
- Department of Mathematics and Computer Science, Emory University, Atlanta, Georgia, USA
| | - Gerd A Blobel
- Div. of Hematology, Children's Hospital of Philadelphia, Abramson Research Center, Philadelphia, Pennsylvania, USA
| | - Mitchell J Weiss
- Div. of Hematology, Children's Hospital of Philadelphia, Abramson Research Center, Philadelphia, Pennsylvania, USA
| | - Max Pimkin
- Div. of Hematology, Children's Hospital of Philadelphia, Abramson Research Center, Philadelphia, Pennsylvania, USA
| | - Wulan Deng
- Div. of Hematology, Children's Hospital of Philadelphia, Abramson Research Center, Philadelphia, Pennsylvania, USA
| | - Georgi K Marinov
- Div. of Biology, California Institute of Technology, Pasadena, California, USA
| | - Brian A Williams
- Div. of Biology, California Institute of Technology, Pasadena, California, USA
| | | | - Gilberto Desalvo
- Div. of Biology, California Institute of Technology, Pasadena, California, USA
| | - Anthony Kiralusha
- Div. of Biology, California Institute of Technology, Pasadena, California, USA
| | - Diane Trout
- Div. of Biology, California Institute of Technology, Pasadena, California, USA
| | - Henry Amrhein
- Div. of Biology, California Institute of Technology, Pasadena, California, USA
| | - Ali Mortazavi
- Dept. of Developmental and Cell Biology, University of California Irvine, Irvine California, USA
| | - Lee Edsall
- Department of Cellular and Molecular Medicine, Institute of Genomic Medicine, University of California San Diego, La Jolla, California, USA
| | - David McCleary
- Department of Cellular and Molecular Medicine, Institute of Genomic Medicine, University of California San Diego, La Jolla, California, USA
| | - Samantha Kuan
- Department of Cellular and Molecular Medicine, Institute of Genomic Medicine, University of California San Diego, La Jolla, California, USA
| | - Yin Shen
- Department of Cellular and Molecular Medicine, Institute of Genomic Medicine, University of California San Diego, La Jolla, California, USA
| | - Feng Yue
- Department of Cellular and Molecular Medicine, Institute of Genomic Medicine, University of California San Diego, La Jolla, California, USA
| | - Zhen Ye
- Department of Cellular and Molecular Medicine, Institute of Genomic Medicine, University of California San Diego, La Jolla, California, USA
| | - Carrie A Davis
- Dept. of Functional Genomics, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, USA
| | - Chris Zaleski
- Dept. of Functional Genomics, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, USA
| | - Sonali Jha
- Dept. of Functional Genomics, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, USA
| | - Chenghai Xue
- Dept. of Functional Genomics, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, USA
| | - Alex Dobin
- Dept. of Functional Genomics, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, USA
| | - Wei Lin
- Dept. of Functional Genomics, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, USA
| | - Meagan Fastuca
- Dept. of Functional Genomics, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, USA
| | - Huaien Wang
- Dept. of Functional Genomics, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, USA
| | - Roderic Guigo
- Division of Bioinformatics and Genomics, Center for Genomic Regulation, Barcelona, Catalunya, Spain
| | - Sarah Djebali
- Division of Bioinformatics and Genomics, Center for Genomic Regulation, Barcelona, Catalunya, Spain
| | - Julien Lagarde
- Division of Bioinformatics and Genomics, Center for Genomic Regulation, Barcelona, Catalunya, Spain
| | - Tyrone Ryba
- Department of Biological Science, Florida State University, Tallahassee, Florida, USA
| | - Takayo Sasaki
- Department of Biological Science, Florida State University, Tallahassee, Florida, USA
| | - Venkat S Malladi
- Center for Biomolecular Science and Engineering, School of Engineering, University of California Santa Cruz (UCSC), Santa Cruz, California, USA
| | - Melissa S Cline
- Center for Biomolecular Science and Engineering, School of Engineering, University of California Santa Cruz (UCSC), Santa Cruz, California, USA
| | - Vanessa M Kirkup
- Center for Biomolecular Science and Engineering, School of Engineering, University of California Santa Cruz (UCSC), Santa Cruz, California, USA
| | - Katrina Learned
- Center for Biomolecular Science and Engineering, School of Engineering, University of California Santa Cruz (UCSC), Santa Cruz, California, USA
| | - Kate R Rosenbloom
- Center for Biomolecular Science and Engineering, School of Engineering, University of California Santa Cruz (UCSC), Santa Cruz, California, USA
| | - W James Kent
- Center for Biomolecular Science and Engineering, School of Engineering, University of California Santa Cruz (UCSC), Santa Cruz, California, USA
| | - Elise A Feingold
- National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Peter J Good
- National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Michael Pazin
- National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Rebecca F Lowdon
- National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Leslie B Adams
- National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, USA
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Keller CA, Garrison L, Baumstark R, Ward-Geiger LI, Hines E. Application of a habitat model to define calving habitat of the North Atlantic right whale in the southeastern United States. ENDANGER SPECIES RES 2012. [DOI: 10.3354/esr00413] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
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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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Fang C, Deng L, Keller CA, Fukata M, Fukata Y, Chen G, Lüscher B. GODZ-mediated palmitoylation of GABA(A) receptors is required for normal assembly and function of GABAergic inhibitory synapses. J Neurosci 2006; 26:12758-68. [PMID: 17151279 PMCID: PMC2366897 DOI: 10.1523/jneurosci.4214-06.2006] [Citation(s) in RCA: 135] [Impact Index Per Article: 7.5] [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] [Indexed: 11/21/2022] Open
Abstract
Golgi-specific DHHC (Asp-His-His-Cys) zinc finger protein (GODZ) is a DHHC family palmitoyl acyltransferase that is implicated in palmitoylation and regulated trafficking of diverse substrates that function either at inhibitory or excitatory synapses. Of particular interest is the gamma2 subunit of GABA(A) receptors, which is required for targeting these receptors to inhibitory synapses. Here, we report that GODZ and, to a lesser extent, its close paralog sertoli cell gene with a zinc finger domain-beta (SERZ-beta) are the main members of the DHHC family of enzymes that are able to palmitoylate the gamma2 subunit in heterologous cells. Yeast two-hybrid and colocalization assays in human embryonic kidney 293T (HEK293T) cells indicate that GODZ and SERZ-beta show indistinguishable palmitoylation-dependent interaction with the gamma2 subunit. After coexpression in HEK293T cells, they form homomultimers and heteromultimers, as shown by coimmunoprecipitation and in vivo cross-linking experiments. Analyses in neurons transfected with dominant-negative GODZ (GODZ(C157S)) or plasmid-based GODZ-specific RNAi indicate that GODZ is required for normal accumulation of GABA(A) receptors at synapses, for normal whole-cell and synaptic GABAergic inhibitory function and, indirectly, for GABAergic innervation. Unexpectedly, GODZ was found to be dispensable for normal postsynaptic AMPA receptor-mediated glutamatergic transmission. We conclude that GODZ-mediated palmitoylation of GABA(A) receptors and possibly other substrates contributes selectively to the formation and normal function of GABAergic inhibitory synapses.
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Affiliation(s)
- Cheng Fang
- Department of Biology, Pennsylvania State University, University Park, Pennsylvania 16802, USA
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Keller CA, Yuan X, Panzanelli P, Martin ML, Alldred M, Sassoè-Pognetto M, Lüscher B. The gamma2 subunit of GABA(A) receptors is a substrate for palmitoylation by GODZ. J Neurosci 2004; 24:5881-91. [PMID: 15229235 PMCID: PMC2366890 DOI: 10.1523/jneurosci.1037-04.2004] [Citation(s) in RCA: 191] [Impact Index Per Article: 9.6] [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] [Indexed: 11/21/2022] Open
Abstract
The neurotransmitter GABA activates heteropentameric GABA(A) receptors, which are composed mostly of alpha, beta, and gamma2 subunits. Regulated membrane trafficking and subcellular targeting of GABA(A) receptors is important for determining the efficacy of GABAergic inhibitory function. Of special interest is the gamma2 subunit, which is mostly dispensable for assembly and membrane insertion of functional receptors but essential for accumulation of GABA(A) receptors at synapses. In a search for novel receptor trafficking proteins, we have used the SOS-recruitment system and isolated a Golgi-specific DHHC zinc finger protein (GODZ) as a novel gamma2 subunit-interacting protein. GODZ is a member of the superfamily of DHHC cysteine-rich domain (DHHC-CRD) polytopic membrane proteins shown recently in yeast to represent palmitoyltransferases. GODZ mRNA is found in many tissues; however, in brain the protein is detected in neurons only and highly concentrated and asymmetrically distributed in the Golgi complex. GODZ interacts with a cysteine-rich 14-amino acid domain conserved specifically in the large cytoplasmic loop of gamma1-3 subunits but not in other GABA(A) receptor subunits. Coexpression of GODZ and GABA(A) receptors in heterologous cells results in palmitoylation of the gamma2 subunit in a cytoplasmic loop domain-dependent manner. Neuronal GABA(A) receptors are similarly palmitoylated. Thus, GODZ-mediated palmitoylation represents a novel posttranslational modification that is selective for gamma subunit-containing GABA(A) receptor subtypes, a mechanism that is likely to be important for regulated trafficking of these receptors in the secretory pathway.
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Affiliation(s)
- Cheryl A Keller
- Department of Biology, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
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Affiliation(s)
- J W Krombach
- Department of Anesthesia & Perioperative Care, University of California San Francisco, San Francisco, CA, USA.
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Abstract
Neural inhibition in the brain is mainly mediated by ionotropic gamma-aminobutyric acid type A (GABA(A)) receptors. Different subtypes of these receptors, distinguished by their subunit composition, are either concentrated at postsynaptic sites where they mediate phasic inhibition or found at perisynaptic and extrasynaptic locations where they prolong phasic inhibition and mediate tonic inhibition, respectively. Of special interest are mechanisms that modulate the stability and function of postsynaptic GABA(A) receptor subtypes and that are implicated in functional plasticity of inhibitory transmission in the brain. We will summarize recent progress on the classification of synaptic versus extrasynaptic receptors, the molecular composition of the postsynaptic cytoskeleton, the function of receptor-associated proteins in trafficking of GABA(A) receptors to and from synapses, and their role in post-translational signaling mechanisms that modulate the stability, density, and function of GABA(A) receptors in the postsynaptic membrane.
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Affiliation(s)
- Bernhard Lüscher
- Department of Biology, Pennsylvania State University, University Park, PA 16802, USA.
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Abstract
We report a previously unrecognized late complication of allograft lung transplantation - persistent recurrent atelectasis of the transplanted lung. The patient developed sudden, severe respiratory distress about 2 yr after a right lung transplant, because of acute atelectasis of her transplanted lung. Multiple transbronchial biopsies at the time revealed minimal inflammation and no evidence of rejection. She was treated with surfactant replacement therapy, and her collapsed lung fully expanded following surfactant installation. To eliminate the possibility of acquired deficiency of surfactant lipids or proteins, ultrastructural examination and immunostains for surfactant proteins were performed in a transbronchial lung biopsy. No deficiency of surfactant lipids or proteins was found. On ultrastructural examination of the lung biopsy, the number of Type II cells per alveolus and the number of lamellar bodies per square micron of Type II cell cross-sectional area was increased compared with an age-matched control. We conclude that synthesis of surfactant lipids and proteins was unimpaired and because of the patient's response to surfactant replacement therapy, that the increase in number of lamellar bodies could reflect a compensatory mechanism for a surfactant functional defect. The patient later developed breast carcinoma to which she succumbed. We raise the possibility that the functional surfactant defect is a hitherto unrecognized non-metastatic manifestation of malignancy.
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Affiliation(s)
- Y Zhao
- Department of Pathology, St Louis University Health Sciences Center and Cardinal Glennon Childrens Hospital, St Louis, MO, USA
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Sicard GA, Rubin BG, Sanchez LA, Keller CA, Flye MW, Picus D, Hovsepian D, Choi ET, Geraghty PJ, Thompson RW. Endoluminal graft repair for abdominal aortic aneurysms in high-risk patients and octogenarians: is it better than open repair? Ann Surg 2001; 234:427-35; discussion 435-7. [PMID: 11573036 PMCID: PMC1422066 DOI: 10.1097/00000658-200110000-00002] [Citation(s) in RCA: 73] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
OBJECTIVE To analyze the short-term and midterm results of open and endoluminal repair of abdominal aortic aneurysms (AAA) in a large single-center series and specifically in octogenarians. METHODS Between January 1997 and October 2000, 470 consecutive patients underwent elective repair of AAA. Conventional open repair (COR) was performed in 210 patients and endoluminal graft (ELG) repair in 260 patients. Ninety of the patients were 80 years of age or older; of these, 38 underwent COR and 52 ELG repair. RESULTS Patient characteristics and risk factors were similar for both the entire series and the subgroup of patients 80 years or older. The overall complication rate was reduced by 70% or more in the ELG versus the COR groups. The postoperative death rate was similar for the COR and ELG groups in the entire series and lower (but not significantly) in the ELG 80 years or older subgroup versus the COR group. The 36-month rates of freedom from endoleaks, surgical conversion, and secondary intervention were 81%, 98.2%, and 88%, respectively. CONCLUSION The short-term and midterm results of AAA repair by COR or ELG are similar. The death rate associated with this new technique is low and comparable, whereas the complication rate associated with COR in all patients and those 80 years or older in particular is greater and more serious than ELG repair. Long-term results will establish the role of ELG repair of AAA, especially in elderly and high-risk patients.
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Affiliation(s)
- G A Sicard
- Department of Surgery, Section of Vascular Surgery, Washington University School of Medicine, 660 S. Euclid Ave., St. Louis, MO 63110-1093, USA.
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Keller CA, Hinerman R, Singh A, Alvarez F. The use of endoscopic argon plasma coagulation in airway complications after solid organ transplantation. Chest 2001; 119:1968-75. [PMID: 11399738 DOI: 10.1378/chest.119.6.1968] [Citation(s) in RCA: 39] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
Abstract
The objective of the study was to describe a safe and effective treatment option for endobronchial complications after solid organ transplantation. A retrospective analysis was performed in a tertiary-care university hospital. The use of bronchoscopic argon plasma coagulation (APC) for the treatment of endobronchial lesions was studied in five solid organ transplant recipients. Four patients presented with variable degrees of endobronchial obstruction, and one patient presented with massive hemoptysis. Two of the patients with endobronchial obstruction were double lung transplant recipients who developed anastomotic strictures. The strictures were opened with endobronchial stents but became obstructed again by inflammatory granulation tissue overgrowth through the stent mesh. APC was used to maintain airway patency. One kidney transplant recipient developed pulmonary zygomycosis with secondary obstruction of the left main bronchus because of granulation tissue growth through endobronchial stents. Airway patency was reestablished with several treatments with APC. Another kidney transplant recipient developed subglottic and tracheal papillomatosis that was effectively removed with APC. A heart transplant recipient was referred with recurrent massive hemoptysis refractory to bronchial artery embolization. The bleeding was caused by hemorrhagic polypoid lesions, which were completely ablated by APC. Bronchoscopic use of the argon plasma coagulator is a safe and simple technique that can be used effectively to treat endobronchial pathology in solid organ transplant patients.
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Affiliation(s)
- C A Keller
- Division of Pulmonary, Critical Care, and Occupational Medicine, St. Louis University Hospital, St. Louis, MO 63110, USA
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Abstract
Percutaneous insertion of permanent pacemaker leads through the subclavian vein is an alternative to the cephalic vein approach. A rare occurrence and successful conservative management of extensive pneumomediastinum and subcutaneous emphysema without concomitant pneumothorax resulting from permanent transvenous pacemaker insertion in an 80-year-old man with syncope and arrhythmia is reported.
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Affiliation(s)
- J D Espiritu
- Division of Pulmonary and Critical Care Medicine, St. Louis University Health Sciences Center, 3635 Vista Ave. at Grand Blvd, PO Box 15250, St. Louis, MO 63110-0250, USA.
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