1101
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Guidi M, Ruault M, Marbouty M, Loïodice I, Cournac A, Billaudeau C, Hocher A, Mozziconacci J, Koszul R, Taddei A. Spatial reorganization of telomeres in long-lived quiescent cells. Genome Biol 2015; 16:206. [PMID: 26399229 PMCID: PMC4581094 DOI: 10.1186/s13059-015-0766-2] [Citation(s) in RCA: 63] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2015] [Accepted: 09/01/2015] [Indexed: 12/13/2022] Open
Abstract
Background The spatiotemporal behavior of chromatin is an important control mechanism of genomic function. Studies in Saccharomyces cerevisiae have broadly contributed to demonstrate the functional importance of nuclear organization. Although in the wild yeast survival depends on their ability to withstand adverse conditions, most of these studies were conducted on cells undergoing exponential growth. In these conditions, as in most eukaryotic cells, silent chromatin that is mainly found at the 32 telomeres accumulates at the nuclear envelope, forming three to five foci. Results Here, combining live microscopy, DNA FISH and chromosome conformation capture (HiC) techniques, we report that chromosomes adopt distinct organizations according to the metabolic status of the cell. In particular, following carbon source exhaustion the genome of long-lived quiescent cells undergoes a major spatial re-organization driven by the grouping of telomeres into a unique focus or hypercluster localized in the center of the nucleus. This change in genome conformation is specific to quiescent cells able to sustain long-term viability. We further show that reactive oxygen species produced by mitochondrial activity during respiration commit the cell to form a hypercluster upon starvation. Importantly, deleting the gene encoding telomere associated silencing factor SIR3 abolishes telomere grouping and decreases longevity, a defect that is rescued by expressing a silencing defective SIR3 allele competent for hypercluster formation. Conclusions Our data show that mitochondrial activity primes cells to group their telomeres into a hypercluster upon starvation, reshaping the genome architecture into a conformation that may contribute to maintain longevity of quiescent cells. Electronic supplementary material The online version of this article (doi:10.1186/s13059-015-0766-2) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Micol Guidi
- Institut Curie, PSL Research University, Paris, F-75248, France.,CNRS, UMR 3664, Paris, F-75248, France.,Sorbonne Universités, UPMC Univ, Paris 06, France
| | - Myriam Ruault
- Institut Curie, PSL Research University, Paris, F-75248, France.,CNRS, UMR 3664, Paris, F-75248, France.,Sorbonne Universités, UPMC Univ, Paris 06, France
| | - Martial Marbouty
- Institut Pasteur, Department Genomes and Genetics, Groupe Régulation Spatiale des Génomes, 75015, Paris, France.,CNRS, UMR 3525, 75015, Paris, France
| | - Isabelle Loïodice
- Institut Curie, PSL Research University, Paris, F-75248, France.,CNRS, UMR 3664, Paris, F-75248, France.,Sorbonne Universités, UPMC Univ, Paris 06, France
| | - Axel Cournac
- Institut Pasteur, Department Genomes and Genetics, Groupe Régulation Spatiale des Génomes, 75015, Paris, France.,CNRS, UMR 3525, 75015, Paris, France
| | - Cyrille Billaudeau
- Institut Curie, PSL Research University, Paris, F-75248, France.,CNRS, UMR 3664, Paris, F-75248, France.,Sorbonne Universités, UPMC Univ, Paris 06, France
| | - Antoine Hocher
- Institut Curie, PSL Research University, Paris, F-75248, France.,CNRS, UMR 3664, Paris, F-75248, France.,Sorbonne Universités, UPMC Univ, Paris 06, France
| | - Julien Mozziconacci
- LPTMC, Université Pierre et Marie Curie, UMR 7600, Sorbonne Universités, 4 Place Jussieu, 75005, Paris, France
| | - Romain Koszul
- Institut Pasteur, Department Genomes and Genetics, Groupe Régulation Spatiale des Génomes, 75015, Paris, France.,CNRS, UMR 3525, 75015, Paris, France
| | - Angela Taddei
- Institut Curie, PSL Research University, Paris, F-75248, France. .,CNRS, UMR 3664, Paris, F-75248, France. .,Sorbonne Universités, UPMC Univ, Paris 06, France.
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1102
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Bartman CR, Blobel GA. Perturbing Chromatin Structure to Understand Mechanisms of Gene Expression. COLD SPRING HARBOR SYMPOSIA ON QUANTITATIVE BIOLOGY 2015; 80:207-12. [PMID: 26370411 DOI: 10.1101/sqb.2015.80.027359] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
The study of nuclear structure falls between the fields of cell biology and molecular biology and draws on techniques from both fields. In recent years, many exciting advances have been made in these areas, including single-molecule and superresolution imaging and the development of chromosome conformation capture (3C)-based technologies, which have brought the advent of genome-wide analysis of chromatin structure and contacts. However, many questions remain as to the function of nuclear structures, in particular their influence on transcription. Here we describe studies that have directly manipulated nuclear architecture at various levels and thus have clarified the causal influence of structure on transcription. We will also highlight open questions in the field, most notably regarding our understanding of the dynamics and variability in nuclear structure and its influence on gene expression.
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Affiliation(s)
- Caroline R Bartman
- Division of Hematology, Children's Hospital of Pennsylvania, Philadelphia, Pennsylvania 19104 Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104
| | - Gerd A Blobel
- Division of Hematology, Children's Hospital of Pennsylvania, Philadelphia, Pennsylvania 19104 Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104
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1103
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Simonti CN, Capra JA. The evolution of the human genome. Curr Opin Genet Dev 2015; 35:9-15. [PMID: 26338498 DOI: 10.1016/j.gde.2015.08.005] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2015] [Revised: 08/08/2015] [Accepted: 08/12/2015] [Indexed: 02/05/2023]
Abstract
Human genomes hold a record of the evolutionary forces that have shaped our species. Advances in DNA sequencing, functional genomics, and population genetic modeling have deepened our understanding of human demographic history, natural selection, and many other long-studied topics. These advances have also revealed many previously underappreciated factors that influence the evolution of the human genome, including functional modifications to DNA and histones, conserved 3D topological chromatin domains, structural variation, and heterogeneous mutation patterns along the genome. Using evolutionary theory as a lens to study these phenomena will lead to significant breakthroughs in understanding what makes us human and why we get sick.
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Affiliation(s)
- Corinne N Simonti
- Vanderbilt Genetics Institute, Vanderbilt University, Nashville, TN 37235, USA
| | - John A Capra
- Vanderbilt Genetics Institute, Vanderbilt University, Nashville, TN 37235, USA; Department of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA; Department of Biomedical Informatics, Vanderbilt University, Nashville, TN 37235, USA.
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1104
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1105
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Matharu NK, Ahanger SH. Chromatin Insulators and Topological Domains: Adding New Dimensions to 3D Genome Architecture. Genes (Basel) 2015; 6:790-811. [PMID: 26340639 PMCID: PMC4584330 DOI: 10.3390/genes6030790] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2015] [Revised: 08/10/2015] [Accepted: 08/20/2015] [Indexed: 01/21/2023] Open
Abstract
The spatial organization of metazoan genomes has a direct influence on fundamental nuclear processes that include transcription, replication, and DNA repair. It is imperative to understand the mechanisms that shape the 3D organization of the eukaryotic genomes. Chromatin insulators have emerged as one of the central components of the genome organization tool-kit across species. Recent advancements in chromatin conformation capture technologies have provided important insights into the architectural role of insulators in genomic structuring. Insulators are involved in 3D genome organization at multiple spatial scales and are important for dynamic reorganization of chromatin structure during reprogramming and differentiation. In this review, we will discuss the classical view and our renewed understanding of insulators as global genome organizers. We will also discuss the plasticity of chromatin structure and its re-organization during pluripotency and differentiation and in situations of cellular stress.
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Affiliation(s)
- Navneet K Matharu
- Department of Bioengineering and Therapeutic Sciences, Institute for Human Genetics, University of California San Francisco, San Francisco, CA 94143, USA.
| | - Sajad H Ahanger
- Department of Ophthalmology, Lab for Retinal Cell Biology, University of Zurich, Wagistrasse 14, Zurich 8952, Switzerland.
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1106
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Abstract
Chromosome folding can reinforce the demarcation between euchromatin and heterochromatin. Two new studies show how epigenetic data, including DNA methylation, can accurately predict chromosome folding in three dimensions. Such computational approaches reinforce the idea of a linkage between epigenetically marked chromatin domains and their segregation into distinct compartments at the megabase scale or topological domains at a higher resolution. Please see related articles: http://dx.doi.org/10.1186/s13059-015-0741-y and http://dx.doi.org/10.1186/s13059-015-0740-z
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Affiliation(s)
- Raphaël Mourad
- Laboratory of Molecular Biology of Eukaryotes (LBME), CNRS - University of Toulouse (UPS), F-31000, Toulouse, France
| | - Olivier Cuvier
- Laboratory of Molecular Biology of Eukaryotes (LBME), CNRS - University of Toulouse (UPS), F-31000, Toulouse, France.
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1107
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Reconstructing A/B compartments as revealed by Hi-C using long-range correlations in epigenetic data. Genome Biol 2015; 16:180. [PMID: 26316348 PMCID: PMC4574526 DOI: 10.1186/s13059-015-0741-y] [Citation(s) in RCA: 202] [Impact Index Per Article: 20.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2015] [Accepted: 07/31/2015] [Indexed: 12/05/2022] Open
Abstract
Analysis of Hi-C data has shown that the genome can be divided into two compartments called A/B compartments. These compartments are cell-type specific and are associated with open and closed chromatin. We show that A/B compartments can reliably be estimated using epigenetic data from several different platforms: the Illumina 450 k DNA methylation microarray, DNase hypersensitivity sequencing, single-cell ATAC sequencing and single-cell whole-genome bisulfite sequencing. We do this by exploiting that the structure of long-range correlations differs between open and closed compartments. This work makes A/B compartment assignment readily available in a wide variety of cell types, including many human cancers.
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1108
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Caputo L, Witzel HR, Kolovos P, Cheedipudi S, Looso M, Mylona A, van IJcken WFJ, Laugwitz KL, Evans SM, Braun T, Soler E, Grosveld F, Dobreva G. The Isl1/Ldb1 Complex Orchestrates Genome-wide Chromatin Organization to Instruct Differentiation of Multipotent Cardiac Progenitors. Cell Stem Cell 2015; 17:287-99. [PMID: 26321200 DOI: 10.1016/j.stem.2015.08.007] [Citation(s) in RCA: 67] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2014] [Revised: 07/08/2015] [Accepted: 08/06/2015] [Indexed: 01/21/2023]
Abstract
Cardiac stem/progenitor cells hold great potential for regenerative therapies; however, the mechanisms regulating their expansion and differentiation remain insufficiently defined. Here we show that Ldb1 is a central regulator of genome organization in cardiac progenitor cells, which is crucial for cardiac lineage differentiation and heart development. We demonstrate that Ldb1 binds to the key regulator of cardiac progenitors, Isl1, and protects it from degradation. Furthermore, the Isl1/Ldb1 complex promotes long-range enhancer-promoter interactions at the loci of the core cardiac transcription factors Mef2c and Hand2. Chromosome conformation capture followed by sequencing identified specific Ldb1-mediated interactions of the Isl1/Ldb1 responsive Mef2c anterior heart field enhancer with genes that play key roles in cardiac progenitor cell function and cardiovascular development. Importantly, the expression of these genes was downregulated upon Ldb1 depletion and Isl1/Ldb1 haplodeficiency. In conclusion, the Isl1/Ldb1 complex orchestrates a network for heart-specific transcriptional regulation and coordination in three-dimensional space during cardiogenesis.
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Affiliation(s)
- Luca Caputo
- Max Planck Institute for Heart and Lung Research, 61231 Bad Nauheim, Germany
| | - Hagen R Witzel
- Max Planck Institute for Heart and Lung Research, 61231 Bad Nauheim, Germany
| | - Petros Kolovos
- Department of Cell Biology, Erasmus Medical Center, 3015 CN Rotterdam, The Netherlands
| | - Sirisha Cheedipudi
- Max Planck Institute for Heart and Lung Research, 61231 Bad Nauheim, Germany
| | - Mario Looso
- Max Planck Institute for Heart and Lung Research, 61231 Bad Nauheim, Germany
| | - Athina Mylona
- Department of Cell Biology, Erasmus Medical Center, 3015 CN Rotterdam, The Netherlands; School of Human and Life Sciences, Canterbury Christ Church University, Canterbury, Kent CT1 1QU, UK
| | | | - Karl-Ludwig Laugwitz
- I. Medical Department, Cardiology, Klinikum rechts der Isar, Technical University, 81675 Munich, Germany
| | - Sylvia M Evans
- Department of Medicine, Skaggs School of Pharmacy, University of California, San Diego, La Jolla, CA 92093, USA
| | - Thomas Braun
- Max Planck Institute for Heart and Lung Research, 61231 Bad Nauheim, Germany
| | - Eric Soler
- Department of Cell Biology, Erasmus Medical Center, 3015 CN Rotterdam, The Netherlands; Laboratory of Molecular Hematopoiesis, CEA/DSV/iRCM/LHM, INSERM UMR967, 92265 Fontenay-aux-Roses, France; Laboratory of Excellence GR-Ex, 75015, Paris, France
| | - Frank Grosveld
- Department of Cell Biology, Erasmus Medical Center, 3015 CN Rotterdam, The Netherlands
| | - Gergana Dobreva
- Max Planck Institute for Heart and Lung Research, 61231 Bad Nauheim, Germany; Medical Faculty, University of Frankfurt, 60590 Frankfurt am Main, Germany.
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1109
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Tanabe S. Signaling involved in stem cell reprogramming and differentiation. World J Stem Cells 2015; 7:992-998. [PMID: 26328015 PMCID: PMC4550631 DOI: 10.4252/wjsc.v7.i7.992] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2015] [Revised: 05/29/2015] [Accepted: 06/18/2015] [Indexed: 02/06/2023] Open
Abstract
Stem cell differentiation is regulated by multiple signaling events. Recent technical advances have revealed that differentiated cells can be reprogrammed into stem cells. The signals involved in stem cell programming are of major interest in stem cell research. The signaling mechanisms involved in regulating stem cell reprogramming and differentiation are the subject of intense study in the field of life sciences. In this review, the molecular interactions and signaling pathways related to stem cell differentiation are discussed.
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Affiliation(s)
- Shihori Tanabe
- Shihori Tanabe, National Institute of Health Sciences, Tokyo 158-8501, Japan
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1110
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Huang J, Marco E, Pinello L, Yuan GC. Predicting chromatin organization using histone marks. Genome Biol 2015; 16:162. [PMID: 26272203 PMCID: PMC4549084 DOI: 10.1186/s13059-015-0740-z] [Citation(s) in RCA: 77] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2015] [Accepted: 07/31/2015] [Indexed: 01/12/2023] Open
Abstract
Genome-wide mapping of three dimensional chromatin organization is an important yet technically challenging task. To aid experimental effort and to understand the determinants of long-range chromatin interactions, we have developed a computational model integrating Hi-C and histone mark ChIP-seq data to predict two important features of chromatin organization: chromatin interaction hubs and topologically associated domain (TAD) boundaries. Our model accurately and robustly predicts these features across datasets and cell types. Cell-type specific histone mark information is required for prediction of chromatin interaction hubs but not for TAD boundaries. Our predictions provide a useful guide for the exploration of chromatin organization.
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Affiliation(s)
- Jialiang Huang
- Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA. .,Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA.
| | - Eugenio Marco
- Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA. .,Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA. .,Present Address: Editas Medicine, Cambridge, MA, 02138, USA.
| | - Luca Pinello
- Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA. .,Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA.
| | - Guo-Cheng Yuan
- Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA. .,Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA. .,Harvard Stem Cell Institute, Cambridge, MA, 02138, USA.
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1111
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Guo Y, Xu Q, Canzio D, Shou J, Li J, Gorkin DU, Jung I, Wu H, Zhai Y, Tang Y, Lu Y, Wu Y, Jia Z, Li W, Zhang MQ, Ren B, Krainer AR, Maniatis T, Wu Q. CRISPR Inversion of CTCF Sites Alters Genome Topology and Enhancer/Promoter Function. Cell 2015; 162:900-10. [PMID: 26276636 PMCID: PMC4642453 DOI: 10.1016/j.cell.2015.07.038] [Citation(s) in RCA: 682] [Impact Index Per Article: 68.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2015] [Revised: 05/30/2015] [Accepted: 07/22/2015] [Indexed: 01/27/2023]
Abstract
CTCF and the associated cohesin complex play a central role in insulator function and higher-order chromatin organization of mammalian genomes. Recent studies identified a correlation between the orientation of CTCF-binding sites (CBSs) and chromatin loops. To test the functional significance of this observation, we combined CRISPR/Cas9-based genomic-DNA-fragment editing with chromosome-conformation-capture experiments to show that the location and relative orientations of CBSs determine the specificity of long-range chromatin looping in mammalian genomes, using protocadherin (Pcdh) and β-globin as model genes. Inversion of CBS elements within the Pcdh enhancer reconfigures the topology of chromatin loops between the distal enhancer and target promoters and alters gene-expression patterns. Thus, although enhancers can function in an orientation-independent manner in reporter assays, in the native chromosome context, the orientation of at least some enhancers carrying CBSs can determine both the architecture of topological chromatin domains and enhancer/promoter specificity. These findings reveal how 3D chromosome architecture can be encoded by linear genome sequences.
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Affiliation(s)
- Ya Guo
- Center for Comparative Biomedicine, MOE Key Laboratory of Systems Biomedicine, Institute of Systems Biomedicine, Collaborative Innovation Center of Systems Biomedicine, Shanghai Jiao Tong University (SJTU), Shanghai 200240, China; State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Renji Hospital, School of Medicine, SJTU, Shanghai 200240, China; Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (MOE), Bio-X Center, School of Life Sciences and Biotechnology, SJTU, Shanghai 200240, China
| | - Quan Xu
- Center for Comparative Biomedicine, MOE Key Laboratory of Systems Biomedicine, Institute of Systems Biomedicine, Collaborative Innovation Center of Systems Biomedicine, Shanghai Jiao Tong University (SJTU), Shanghai 200240, China; State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Renji Hospital, School of Medicine, SJTU, Shanghai 200240, China; Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (MOE), Bio-X Center, School of Life Sciences and Biotechnology, SJTU, Shanghai 200240, China
| | - Daniele Canzio
- Department of Biochemistry and Molecular Biophysics, Columbia University Medical Center, 701 West 168(th) Street, New York, NY 10032, USA
| | - Jia Shou
- Center for Comparative Biomedicine, MOE Key Laboratory of Systems Biomedicine, Institute of Systems Biomedicine, Collaborative Innovation Center of Systems Biomedicine, Shanghai Jiao Tong University (SJTU), Shanghai 200240, China; State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Renji Hospital, School of Medicine, SJTU, Shanghai 200240, China; Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (MOE), Bio-X Center, School of Life Sciences and Biotechnology, SJTU, Shanghai 200240, China
| | - Jinhuan Li
- Center for Comparative Biomedicine, MOE Key Laboratory of Systems Biomedicine, Institute of Systems Biomedicine, Collaborative Innovation Center of Systems Biomedicine, Shanghai Jiao Tong University (SJTU), Shanghai 200240, China; State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Renji Hospital, School of Medicine, SJTU, Shanghai 200240, China; Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (MOE), Bio-X Center, School of Life Sciences and Biotechnology, SJTU, Shanghai 200240, China
| | - David U Gorkin
- Ludwig Institute for Cancer Research and Department of Cellular and Molecular Medicine, University of California, San Diego School of Medicine, 9500 Gilman Drive, La Jolla, CA 92093, USA
| | - Inkyung Jung
- Ludwig Institute for Cancer Research and Department of Cellular and Molecular Medicine, University of California, San Diego School of Medicine, 9500 Gilman Drive, La Jolla, CA 92093, USA
| | - Haiyang Wu
- Center for Comparative Biomedicine, MOE Key Laboratory of Systems Biomedicine, Institute of Systems Biomedicine, Collaborative Innovation Center of Systems Biomedicine, Shanghai Jiao Tong University (SJTU), Shanghai 200240, China; State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Renji Hospital, School of Medicine, SJTU, Shanghai 200240, China; Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (MOE), Bio-X Center, School of Life Sciences and Biotechnology, SJTU, Shanghai 200240, China
| | - Yanan Zhai
- Center for Comparative Biomedicine, MOE Key Laboratory of Systems Biomedicine, Institute of Systems Biomedicine, Collaborative Innovation Center of Systems Biomedicine, Shanghai Jiao Tong University (SJTU), Shanghai 200240, China; State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Renji Hospital, School of Medicine, SJTU, Shanghai 200240, China; Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (MOE), Bio-X Center, School of Life Sciences and Biotechnology, SJTU, Shanghai 200240, China
| | - Yuanxiao Tang
- Center for Comparative Biomedicine, MOE Key Laboratory of Systems Biomedicine, Institute of Systems Biomedicine, Collaborative Innovation Center of Systems Biomedicine, Shanghai Jiao Tong University (SJTU), Shanghai 200240, China; State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Renji Hospital, School of Medicine, SJTU, Shanghai 200240, China; Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (MOE), Bio-X Center, School of Life Sciences and Biotechnology, SJTU, Shanghai 200240, China
| | - Yichao Lu
- Center for Comparative Biomedicine, MOE Key Laboratory of Systems Biomedicine, Institute of Systems Biomedicine, Collaborative Innovation Center of Systems Biomedicine, Shanghai Jiao Tong University (SJTU), Shanghai 200240, China; State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Renji Hospital, School of Medicine, SJTU, Shanghai 200240, China; Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (MOE), Bio-X Center, School of Life Sciences and Biotechnology, SJTU, Shanghai 200240, China
| | - Yonghu Wu
- Center for Comparative Biomedicine, MOE Key Laboratory of Systems Biomedicine, Institute of Systems Biomedicine, Collaborative Innovation Center of Systems Biomedicine, Shanghai Jiao Tong University (SJTU), Shanghai 200240, China; State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Renji Hospital, School of Medicine, SJTU, Shanghai 200240, China; Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (MOE), Bio-X Center, School of Life Sciences and Biotechnology, SJTU, Shanghai 200240, China
| | - Zhilian Jia
- Center for Comparative Biomedicine, MOE Key Laboratory of Systems Biomedicine, Institute of Systems Biomedicine, Collaborative Innovation Center of Systems Biomedicine, Shanghai Jiao Tong University (SJTU), Shanghai 200240, China; State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Renji Hospital, School of Medicine, SJTU, Shanghai 200240, China; Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (MOE), Bio-X Center, School of Life Sciences and Biotechnology, SJTU, Shanghai 200240, China
| | - Wei Li
- Center for Comparative Biomedicine, MOE Key Laboratory of Systems Biomedicine, Institute of Systems Biomedicine, Collaborative Innovation Center of Systems Biomedicine, Shanghai Jiao Tong University (SJTU), Shanghai 200240, China; State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Renji Hospital, School of Medicine, SJTU, Shanghai 200240, China; Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (MOE), Bio-X Center, School of Life Sciences and Biotechnology, SJTU, Shanghai 200240, China
| | - Michael Q Zhang
- Department of Molecular and Cell Biology, Center for Systems Biology, University of Texas at Dallas, Richardson, TX 75080, USA; MOE Key Laboratory of Bioinformatics and Bioinformatics Division, Center for Synthetic and System Biology, TNLIST/Department of Automation, Tsinghua University, Beijing 100084, China
| | - Bing Ren
- Ludwig Institute for Cancer Research and Department of Cellular and Molecular Medicine, University of California, San Diego School of Medicine, 9500 Gilman Drive, La Jolla, CA 92093, USA
| | | | - Tom Maniatis
- Department of Biochemistry and Molecular Biophysics, Columbia University Medical Center, 701 West 168(th) Street, New York, NY 10032, USA.
| | - Qiang Wu
- Center for Comparative Biomedicine, MOE Key Laboratory of Systems Biomedicine, Institute of Systems Biomedicine, Collaborative Innovation Center of Systems Biomedicine, Shanghai Jiao Tong University (SJTU), Shanghai 200240, China; State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Renji Hospital, School of Medicine, SJTU, Shanghai 200240, China; Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (MOE), Bio-X Center, School of Life Sciences and Biotechnology, SJTU, Shanghai 200240, China.
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1112
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Hilton HN, Graham JD, Clarke CL. Minireview: Progesterone Regulation of Proliferation in the Normal Human Breast and in Breast Cancer: A Tale of Two Scenarios? Mol Endocrinol 2015; 29:1230-42. [PMID: 26266959 DOI: 10.1210/me.2015-1152] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
Progesterone (P), which signals through the P receptor (PR), is critical in normal development of the breast, but its signaling axis is also a major driver of breast cancer risk. Here we review recent advances in the understanding of P signaling in the normal human breast, with a focus on the importance of the balance between autocrine and paracrine signaling. To date, most data (which derive largely from mouse models or human breast cancer cell line studies) have demonstrated that the vast majority of PR+ cells appear to act as "sensor" cells, which respond to P stimulation by translating these hormonal cues into paracrine signals. However, growing evidence suggests that, dependent on the cellular context, P may also signal in an autocrine manner in a subset of cells in the normal mouse mammary gland and human breast. It has been suggested that it may be dysregulation of this autocrine signaling, resulting in a "switch" from a predominance of paracrine signaling to autocrine signaling in PR+ cells, which is an early event during breast tumorigenesis. This review summarizes current evidence in the literature that demonstrates the mechanisms through which P acts in the normal human breast, as well as highlighting the important questions that remain unanswered.
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Affiliation(s)
- Heidi N Hilton
- Westmead Millennium Institute, University of Sydney, Westmead, New South Wales, 2145, Australia
| | - J Dinny Graham
- Westmead Millennium Institute, University of Sydney, Westmead, New South Wales, 2145, Australia
| | - Christine L Clarke
- Westmead Millennium Institute, University of Sydney, Westmead, New South Wales, 2145, Australia
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1113
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Witte S, O'Shea JJ, Vahedi G. Super-enhancers: Asset management in immune cell genomes. Trends Immunol 2015; 36:519-26. [PMID: 26277449 DOI: 10.1016/j.it.2015.07.005] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2015] [Revised: 07/17/2015] [Accepted: 07/17/2015] [Indexed: 12/29/2022]
Abstract
Super-enhancers (SEs) are regions of the genome consisting of clusters of regulatory elements bound with very high amounts of transcription factors, and this architecture appears to be the hallmark of genes and noncoding RNAs linked with cell identity. Recent studies have identified SEs in CD4(+) T cells and have further linked these regions to single nucleotide polymorphisms (SNPs) associated with immune-mediated disorders, pointing to an important role for these structures in the T cell differentiation and function. Here we review the features that define SEs, and discuss their function within the broader understanding of the mechanisms that define immune cell identity and function. We propose that SEs present crucial regulatory hubs, coordinating intrinsic and extrinsic differentiation signals, and argue that delineating these regions will provide important insight into the factors and mechanisms that define immune cell identity.
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Affiliation(s)
- Steven Witte
- Lymphocyte Cell Biology Section, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - John J O'Shea
- Lymphocyte Cell Biology Section, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Golnaz Vahedi
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
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1114
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Bouwman BAM, de Laat W. Getting the genome in shape: the formation of loops, domains and compartments. Genome Biol 2015; 16:154. [PMID: 26257189 PMCID: PMC4536798 DOI: 10.1186/s13059-015-0730-1] [Citation(s) in RCA: 77] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
The hierarchical levels of genome architecture exert transcriptional control by tuning the accessibility and proximity of genes and regulatory elements. Here, we review current insights into the trans-acting factors that enable the genome to flexibly adopt different functionally relevant conformations.
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Affiliation(s)
- Britta A M Bouwman
- Hubrecht Institute - KNAW and University Medical Center Utrecht, Uppsalalaan 8, 3584 CT, Utrecht, The Netherlands
| | - Wouter de Laat
- Hubrecht Institute - KNAW and University Medical Center Utrecht, Uppsalalaan 8, 3584 CT, Utrecht, The Netherlands.
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1115
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Lopes Novo C, Rugg-Gunn PJ. Chromatin organization in pluripotent cells: emerging approaches to study and disrupt function. Brief Funct Genomics 2015. [PMID: 26206085 PMCID: PMC4958138 DOI: 10.1093/bfgp/elv029] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Translating the vast amounts of genomic and epigenomic information accumulated on the linear genome into three-dimensional models of nuclear organization is a current major challenge. In response to this challenge, recent technological innovations based on chromosome conformation capture methods in combination with increasingly powerful functional approaches have revealed exciting insights into key aspects of genome regulation. These findings have led to an emerging model where the genome is folded and compartmentalized into highly conserved topological domains that are further divided into functional subdomains containing physical loops that bring cis-regulatory elements to close proximity. Targeted functional experiments, largely based on designable DNA-binding proteins, have begun to define the major architectural proteins required to establish and maintain appropriate genome regulation. Here, we focus on the accessible and well-characterized system of pluripotent cells to review the functional role of chromatin organization in regulating pluripotency, differentiation and reprogramming.
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1116
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Qu K, Zaba LC, Giresi PG, Li R, Longmire M, Kim YH, Greenleaf WJ, Chang HY. Individuality and variation of personal regulomes in primary human T cells. Cell Syst 2015; 1:51-61. [PMID: 26251845 DOI: 10.1016/j.cels.2015.06.003] [Citation(s) in RCA: 116] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
Here we survey variation and dynamics of active regulatory elements genome-wide using longitudinal samples from human individuals. We applied Assay of Transposase Accessible Chromatin with sequencing (ATAC-seq) to map chromatin accessibility in primary CD4+ T cells isolated from standard blood draws of 12 healthy volunteers over time, from cancer patients, and during T cell activation. Over 4,000 predicted regulatory elements (7.2%) showed reproducible variation in accessibility between individuals. Gender was the most significant attributable source of variation. ATAC-seq revealed previously undescribed elements that escape X chromosome inactivation and predicted gender-specific gene regulatory networks across autosomes, which coordinately affect genes with immune function. Noisy regulatory elements with personal variation in accessibility are significantly enriched for autoimmune disease loci. Over one third of regulome variation lacked genetic variation in cis, suggesting contributions from environmental or epigenetic factors. These results refine concepts of human individuality and provide a foundational reference for comparing disease-associated regulomes.
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Affiliation(s)
- Kun Qu
- Howard Hughes Medical Institute and Program in Epithelial Biology, Stanford University School of Medicine, Stanford, CA 94305
| | - Lisa C Zaba
- Howard Hughes Medical Institute and Program in Epithelial Biology, Stanford University School of Medicine, Stanford, CA 94305
| | - Paul G Giresi
- Howard Hughes Medical Institute and Program in Epithelial Biology, Stanford University School of Medicine, Stanford, CA 94305
| | - Rui Li
- Howard Hughes Medical Institute and Program in Epithelial Biology, Stanford University School of Medicine, Stanford, CA 94305
| | - Michelle Longmire
- Howard Hughes Medical Institute and Program in Epithelial Biology, Stanford University School of Medicine, Stanford, CA 94305
| | - Youn H Kim
- Department of Dermatology, Stanford University School of Medicine, Stanford, CA 94305
| | - William J Greenleaf
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305
| | - Howard Y Chang
- Howard Hughes Medical Institute and Program in Epithelial Biology, Stanford University School of Medicine, Stanford, CA 94305
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1117
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Bayarsaihan D. Toward integrative annotation of cell type-specific epigenomes to better understand human biology and disease. Epigenomics 2015; 7:519-21. [PMID: 26111024 DOI: 10.2217/epi.15.26] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Affiliation(s)
- Dashzeveg Bayarsaihan
- Center for Regenerative Medicine & Skeletal Development, Department of Reconstructive Sciences, University of Connecticut Health Center, 262 Farmington Avenue, Farmington, CT 06030, USA
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1118
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Signaling Control of Differentiation of Embryonic Stem Cells toward Mesendoderm. J Mol Biol 2015; 428:1409-22. [PMID: 26119455 DOI: 10.1016/j.jmb.2015.06.013] [Citation(s) in RCA: 48] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2015] [Revised: 06/12/2015] [Accepted: 06/17/2015] [Indexed: 01/29/2023]
Abstract
Mesendoderm (ME) refers to the primitive streak in mammalian embryos, which has the ability to further differentiate into mesoderm and endoderm. A better understanding on the regulatory networks of ME differentiation of embryonic stem (ES) cells would provide important insights on early embryo patterning and a possible guidance for ES applications in regenerative medicine. Studies on developmental biology and embryology have offered a great deal of knowledge about key signaling pathways involved in primitive streak formation. Recently, various chemically defined recipes have been formulated to induce differentiation of ES cells toward ME in vitro, which greatly facilitate the elucidation of the regulatory mechanisms of different signals involved in ME specification. Among the extrinsic signals, transforming growth factor-β/Activin signaling and Wnt signaling have been shown to be the most critical ones. On another side, intrinsic epigenetic regulation has been indicated to be important in ME determination. In this review, we summarize the current understanding on the extrinsic and intrinsic regulations of ES cells-to-ME differentiation and the crosstalk among them, aiming to get a general overview on ME specification and primitive streak formation.
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1119
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Abstract
The 4D organization of the interphase nucleus, or the 4D Nucleome (4DN), reflects a dynamical interaction between 3D genome structure and function and its relationship to phenotype. We present initial analyses of the human 4DN, capturing genome-wide structure using chromosome conformation capture and 3D imaging, and function using RNA-sequencing. We introduce a quantitative index that measures underlying topological stability of a genomic region. Our results show that structural features of genomic regions correlate with function with surprising persistence over time. Furthermore, constructing genome-wide gene-level contact maps aided in identifying gene pairs with high potential for coregulation and colocalization in a manner consistent with expression via transcription factories. We additionally use 2D phase planes to visualize patterns in 4DN data. Finally, we evaluated gene pairs within a circadian gene module using 3D imaging, and found periodicity in the movement of clock circadian regulator and period circadian clock 2 relative to each other that followed a circadian rhythm and entrained with their expression.
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1120
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Rivera-Mulia JC, Buckley Q, Sasaki T, Zimmerman J, Didier RA, Nazor K, Loring JF, Lian Z, Weissman S, Robins AJ, Schulz TC, Menendez L, Kulik MJ, Dalton S, Gabr H, Kahveci T, Gilbert DM. Dynamic changes in replication timing and gene expression during lineage specification of human pluripotent stem cells. Genome Res 2015; 25:1091-103. [PMID: 26055160 PMCID: PMC4509994 DOI: 10.1101/gr.187989.114] [Citation(s) in RCA: 117] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2014] [Accepted: 06/05/2015] [Indexed: 12/31/2022]
Abstract
Duplication of the genome in mammalian cells occurs in a defined temporal order referred to as its replication-timing (RT) program. RT changes dynamically during development, regulated in units of 400-800 kb referred to as replication domains (RDs). Changes in RT are generally coordinated with transcriptional competence and changes in subnuclear position. We generated genome-wide RT profiles for 26 distinct human cell types, including embryonic stem cell (hESC)-derived, primary cells and established cell lines representing intermediate stages of endoderm, mesoderm, ectoderm, and neural crest (NC) development. We identified clusters of RDs that replicate at unique times in each stage (RT signatures) and confirmed global consolidation of the genome into larger synchronously replicating segments during differentiation. Surprisingly, transcriptome data revealed that the well-accepted correlation between early replication and transcriptional activity was restricted to RT-constitutive genes, whereas two-thirds of the genes that switched RT during differentiation were strongly expressed when late replicating in one or more cell types. Closer inspection revealed that transcription of this class of genes was frequently restricted to the lineage in which the RT switch occurred, but was induced prior to a late-to-early RT switch and/or down-regulated after an early-to-late RT switch. Analysis of transcriptional regulatory networks showed that this class of genes contains strong regulators of genes that were only expressed when early replicating. These results provide intriguing new insight into the complex relationship between transcription and RT regulation during human development.
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Affiliation(s)
- Juan Carlos Rivera-Mulia
- Department of Biological Science, Florida State University, Tallahassee, Florida 32306-4295, USA
| | - Quinton Buckley
- Department of Biological Science, Florida State University, Tallahassee, Florida 32306-4295, USA
| | - Takayo Sasaki
- Department of Biological Science, Florida State University, Tallahassee, Florida 32306-4295, USA
| | - Jared Zimmerman
- Department of Biological Science, Florida State University, Tallahassee, Florida 32306-4295, USA
| | - Ruth A Didier
- College of Medicine, Florida State University, Tallahassee, Florida 32306-4295, USA
| | - Kristopher Nazor
- Center for Regenerative Medicine, Department of Chemical Physiology, The Scripps Research Institute, La Jolla, California 92037, USA
| | - Jeanne F Loring
- Center for Regenerative Medicine, Department of Chemical Physiology, The Scripps Research Institute, La Jolla, California 92037, USA
| | - Zheng Lian
- Department of Genetics, Yale University School of Medicine, New Haven, Connecticut 06519, USA
| | - Sherman Weissman
- Department of Genetics, Yale University School of Medicine, New Haven, Connecticut 06519, USA
| | | | | | - Laura Menendez
- Department of Biochemistry and Molecular Biology, University of Georgia, Athens, Georgia 30602, USA
| | - Michael J Kulik
- Department of Biochemistry and Molecular Biology, University of Georgia, Athens, Georgia 30602, USA
| | - Stephen Dalton
- Department of Biochemistry and Molecular Biology, University of Georgia, Athens, Georgia 30602, USA
| | - Haitham Gabr
- Department of Computer and Information Sciences and Engineering, University of Florida, Gainesville, Florida 32611, USA
| | - Tamer Kahveci
- Department of Computer and Information Sciences and Engineering, University of Florida, Gainesville, Florida 32611, USA
| | - David M Gilbert
- Department of Biological Science, Florida State University, Tallahassee, Florida 32306-4295, USA; Center for Genomics and Personalized Medicine, Florida State University, Tallahassee, Florida 32306, USA
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1121
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Abstract
It is now well accepted that defined architectural compartments within the cell nucleus can regulate the transcriptional activity of chromosomal domains within their vicinity. However, it is generally unclear how these compartments are formed. The nuclear periphery has received a great deal of attention as a repressive compartment that is implicated in many cellular functions during development and disease. The inner nuclear membrane, the nuclear lamina, and associated proteins compose the nuclear periphery and together they interact with proximal chromatin creating a repressive environment. A new study by Harr et al. identifies specific protein-DNA interactions and epigenetic states necessary to re-position chromatin to the nuclear periphery in a cell-type specific manner. Here, we review concepts in gene positioning within the nucleus and current accepted models of dynamic gene repositioning within the nucleus during differentiation. This study highlights that myriad pathways lead to nuclear organization.
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Affiliation(s)
- Molly R Gordon
- Department of Biological Science, Florida State University, Tallahassee, FL, USA
| | - Benjamin D Pope
- Department of Biological Science, Florida State University, Tallahassee, FL, USA
| | - Jiao Sima
- Department of Biological Science, Florida State University, Tallahassee, FL, USA
| | - David M Gilbert
- Department of Biological Science, Florida State University, Tallahassee, FL, USA.,Center for Genomics and Personalized Medicine, Florida State University, Tallahassee, FL, USA
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1122
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Le Dily F, Beato M. TADs as modular and dynamic units for gene regulation by hormones. FEBS Lett 2015; 589:2885-92. [DOI: 10.1016/j.febslet.2015.05.026] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2015] [Revised: 05/11/2015] [Accepted: 05/11/2015] [Indexed: 12/28/2022]
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1123
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Serra F, Di Stefano M, Spill YG, Cuartero Y, Goodstadt M, Baù D, Marti-Renom MA. Restraint-based three-dimensional modeling of genomes and genomic domains. FEBS Lett 2015; 589:2987-95. [PMID: 25980604 DOI: 10.1016/j.febslet.2015.05.012] [Citation(s) in RCA: 65] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2015] [Revised: 05/05/2015] [Accepted: 05/05/2015] [Indexed: 10/23/2022]
Abstract
Chromosomes are large polymer molecules composed of nucleotides. In some species, such as humans, this polymer can sum up to meters long and still be properly folded within the nuclear space of few microns in size. The exact mechanisms of how the meters long DNA is folded into the nucleus, as well as how the regulatory machinery can access it, is to a large extend still a mystery. However, and thanks to newly developed molecular, genomic and computational approaches based on the Chromosome Conformation Capture (3C) technology, we are now obtaining insight on how genomes are spatially organized. Here we review a new family of computational approaches that aim at using 3C-based data to obtain spatial restraints for modeling genomes and genomic domains.
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Affiliation(s)
- François Serra
- Genome Biology Group, Centre Nacional d'Anàlisi Genòmica (CNAG), Barcelona, Spain; Gene Regulation, Stem Cells and Cancer Program, Centre for Genomic Regulation (CRG), Barcelona, Spain
| | - Marco Di Stefano
- Genome Biology Group, Centre Nacional d'Anàlisi Genòmica (CNAG), Barcelona, Spain; Gene Regulation, Stem Cells and Cancer Program, Centre for Genomic Regulation (CRG), Barcelona, Spain
| | - Yannick G Spill
- Genome Biology Group, Centre Nacional d'Anàlisi Genòmica (CNAG), Barcelona, Spain; Gene Regulation, Stem Cells and Cancer Program, Centre for Genomic Regulation (CRG), Barcelona, Spain
| | - Yasmina Cuartero
- Genome Biology Group, Centre Nacional d'Anàlisi Genòmica (CNAG), Barcelona, Spain; Gene Regulation, Stem Cells and Cancer Program, Centre for Genomic Regulation (CRG), Barcelona, Spain
| | - Michael Goodstadt
- Genome Biology Group, Centre Nacional d'Anàlisi Genòmica (CNAG), Barcelona, Spain; Gene Regulation, Stem Cells and Cancer Program, Centre for Genomic Regulation (CRG), Barcelona, Spain
| | - Davide Baù
- Genome Biology Group, Centre Nacional d'Anàlisi Genòmica (CNAG), Barcelona, Spain; Gene Regulation, Stem Cells and Cancer Program, Centre for Genomic Regulation (CRG), Barcelona, Spain
| | - Marc A Marti-Renom
- Genome Biology Group, Centre Nacional d'Anàlisi Genòmica (CNAG), Barcelona, Spain; Gene Regulation, Stem Cells and Cancer Program, Centre for Genomic Regulation (CRG), Barcelona, Spain; Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain.
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1124
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Architectural hallmarks of the pluripotent genome. FEBS Lett 2015; 589:2905-13. [PMID: 25957773 DOI: 10.1016/j.febslet.2015.04.055] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2015] [Revised: 04/24/2015] [Accepted: 04/27/2015] [Indexed: 01/03/2023]
Abstract
Pluripotent stem cells (PSCs) have the ability to self-renew and are capable of generating all embryonic germ layers (Evans and Kaufman, 1981; Thomson et al., 1998). PSCs can be isolated from early embryos or may be induced via overexpression of pluripotency transcription factors in differentiated cells (Takahashi and Yamanaka, 2006). As PSCs hold great promise for regenerative medicine, the mechanisms underlying pluripotency and induction thereof are studied intensively. Pluripotency is characterized by a unique transcriptional program that is in part controlled by an exceptionally plastic regulatory chromatin landscape. In recent years, 3D genome configuration has emerged as an important regulator of transcriptional control and cellular identity (Taddei et al., 2004 [4]; Lanctot et al., 2007 [5]; Gibcus and Dekker, 2013; Misteli, 2009 [7]). Here we provide an overview of recent findings on the 3D genome organization in PSCs and discuss its putative functional role in regulation of the pluripotent state.
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1125
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Structure, function and evolution of topologically associating domains (TADs) at HOX loci. FEBS Lett 2015; 589:2869-76. [PMID: 25913784 DOI: 10.1016/j.febslet.2015.04.024] [Citation(s) in RCA: 53] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2015] [Revised: 04/16/2015] [Accepted: 04/17/2015] [Indexed: 11/24/2022]
Abstract
Hox genes encode transcription factors necessary for patterning the major developing anterior to posterior embryonic axis. In addition, during vertebrate evolution, various subsets of this gene family were co-opted along with the emergence of novel body structures, such as the limbs or the external genitalia. The morphogenesis of these axial structures thus relies in part upon the precisely controlled transcription of specific Hox genes, a mechanism involving multiple long-range enhancers. Recently, it was reported that such regulatory mechanisms were largely shared between different developing tissues, though with some specificities, suggesting the recruitment of ancestral regulatory modalities from one tissue to another. The analysis of chromatin architectures at HoxD and HoxA loci revealed the existence of two flanking topologically associating domains (TADs), precisely encompassing the adjacent regulatory landscapes. Here, we discuss the function of these TADs in the control of Hox gene regulation and we speculate about their capacity to serve as structural frameworks for the emergence of novel enhancers. In this view, TADs may have been used as genomic niches to evolve pleiotropic regulations found at many developmental loci.
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1126
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Allelic Imbalance Is a Prevalent and Tissue-Specific Feature of the Mouse Transcriptome. Genetics 2015; 200:537-49. [PMID: 25858912 DOI: 10.1534/genetics.115.176263] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2014] [Accepted: 03/27/2015] [Indexed: 12/18/2022] Open
Abstract
In mammals, several classes of monoallelic genes have been identified, including those subject to X-chromosome inactivation (XCI), genomic imprinting, and random monoallelic expression (RMAE). However, the extent to which these epigenetic phenomena are influenced by underlying genetic variation is unknown. Here we perform a systematic classification of allelic imbalance in mouse hybrids derived from reciprocal crosses of divergent strains. We observe that deviation from balanced biallelic expression is common, occurring in ∼20% of the mouse transcriptome in a given tissue. Allelic imbalance attributed to genotypic variation is by far the most prevalent class and typically is tissue-specific. However, some genotype-based imbalance is maintained across tissues and is associated with greater genetic variation, especially in 5' and 3' termini of transcripts. We further identify novel random monoallelic and imprinted genes and find that genotype can modify penetrance of parental origin even in the setting of large imprinted regions. Examination of nascent transcripts in single cells from inbred parental strains reveals that genes showing genotype-based imbalance in hybrids can also exhibit monoallelic expression in isogenic backgrounds. This surprising observation may suggest a competition between alleles and/or reflect the combined impact of cis- and trans-acting variation on expression of a given gene. Our findings provide novel insights into gene regulation and may be relevant to human genetic variation and disease.
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1127
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1128
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Kundaje A, Meuleman W, Ernst J, Bilenky M, Yen A, Heravi-Moussavi A, Kheradpour P, Zhang Z, Wang J, Ziller MJ, Amin V, Whitaker JW, Schultz MD, Ward LD, Sarkar A, Quon G, Sandstrom RS, Eaton ML, Wu YC, Pfenning AR, Wang X, Claussnitzer M, Liu Y, Coarfa C, Harris RA, Shoresh N, Epstein CB, Gjoneska E, Leung D, Xie W, Hawkins RD, Lister R, Hong C, Gascard P, Mungall AJ, Moore R, Chuah E, Tam A, Canfield TK, Hansen RS, Kaul R, Sabo PJ, Bansal MS, Carles A, Dixon JR, Farh KH, Feizi S, Karlic R, Kim AR, Kulkarni A, Li D, Lowdon R, Elliott G, Mercer TR, Neph SJ, Onuchic V, Polak P, Rajagopal N, Ray P, Sallari RC, Siebenthall KT, Sinnott-Armstrong NA, Stevens M, Thurman RE, Wu J, Zhang B, Zhou X, Beaudet AE, Boyer LA, De Jager PL, Farnham PJ, Fisher SJ, Haussler D, Jones SJM, Li W, Marra MA, McManus MT, Sunyaev S, Thomson JA, Tlsty TD, Tsai LH, Wang W, Waterland RA, Zhang MQ, Chadwick LH, Bernstein BE, Costello JF, Ecker JR, Hirst M, Meissner A, Milosavljevic A, Ren B, Stamatoyannopoulos JA, Wang T, Kellis M. Integrative analysis of 111 reference human epigenomes. Nature 2015; 518:317-30. [PMID: 25693563 PMCID: PMC4530010 DOI: 10.1038/nature14248] [Citation(s) in RCA: 4402] [Impact Index Per Article: 440.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2014] [Accepted: 01/21/2015] [Indexed: 02/06/2023]
Abstract
The reference human genome sequence set the stage for studies of genetic variation and its association with human disease, but epigenomic studies lack a similar reference. To address this need, the NIH Roadmap Epigenomics Consortium generated the largest collection so far of human epigenomes for primary cells and tissues. Here we describe the integrative analysis of 111 reference human epigenomes generated as part of the programme, profiled for histone modification patterns, DNA accessibility, DNA methylation and RNA expression. We establish global maps of regulatory elements, define regulatory modules of coordinated activity, and their likely activators and repressors. We show that disease- and trait-associated genetic variants are enriched in tissue-specific epigenomic marks, revealing biologically relevant cell types for diverse human traits, and providing a resource for interpreting the molecular basis of human disease. Our results demonstrate the central role of epigenomic information for understanding gene regulation, cellular differentiation and human disease.
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Affiliation(s)
- Anshul Kundaje
- 1] Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, 32 Vassar St, Cambridge, Massachusetts 02139, USA. [2] The Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, Massachusetts 02142, USA. [3] Department of Genetics, Department of Computer Science, 300 Pasteur Dr., Lane Building, L301, Stanford, California 94305-5120, USA
| | - Wouter Meuleman
- 1] Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, 32 Vassar St, Cambridge, Massachusetts 02139, USA. [2] The Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, Massachusetts 02142, USA
| | - Jason Ernst
- 1] Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, 32 Vassar St, Cambridge, Massachusetts 02139, USA. [2] The Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, Massachusetts 02142, USA. [3] Department of Biological Chemistry, University of California, Los Angeles, 615 Charles E Young Dr South, Los Angeles, California 90095, USA
| | - Misha Bilenky
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, 675 West 10th Avenue, Vancouver, British Columbia V5Z 1L3, Canada
| | - Angela Yen
- 1] Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, 32 Vassar St, Cambridge, Massachusetts 02139, USA. [2] The Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, Massachusetts 02142, USA
| | - Alireza Heravi-Moussavi
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, 675 West 10th Avenue, Vancouver, British Columbia V5Z 1L3, Canada
| | - Pouya Kheradpour
- 1] Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, 32 Vassar St, Cambridge, Massachusetts 02139, USA. [2] The Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, Massachusetts 02142, USA
| | - Zhizhuo Zhang
- 1] Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, 32 Vassar St, Cambridge, Massachusetts 02139, USA. [2] The Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, Massachusetts 02142, USA
| | - Jianrong Wang
- 1] Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, 32 Vassar St, Cambridge, Massachusetts 02139, USA. [2] The Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, Massachusetts 02142, USA
| | - Michael J Ziller
- 1] The Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, Massachusetts 02142, USA. [2] Department of Stem Cell and Regenerative Biology, 7 Divinity Ave, Cambridge, Massachusetts 02138, USA
| | - Viren Amin
- Epigenome Center, Baylor College of Medicine, One Baylor Plaza, Houston, Texas 77030, USA
| | - John W Whitaker
- Department of Cellular and Molecular Medicine, Institute of Genomic Medicine, Moores Cancer Center, Department of Chemistry and Biochemistry, University of California San Diego, 9500 Gilman Drive, La Jolla, California 92093, USA
| | - Matthew D Schultz
- Genomic Analysis Laboratory, Howard Hughes Medical Institute &The Salk Institute for Biological Studies, 10010 N. Torrey Pines Road, La Jolla, California 92037, USA
| | - Lucas D Ward
- 1] Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, 32 Vassar St, Cambridge, Massachusetts 02139, USA. [2] The Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, Massachusetts 02142, USA
| | - Abhishek Sarkar
- 1] Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, 32 Vassar St, Cambridge, Massachusetts 02139, USA. [2] The Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, Massachusetts 02142, USA
| | - Gerald Quon
- 1] Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, 32 Vassar St, Cambridge, Massachusetts 02139, USA. [2] The Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, Massachusetts 02142, USA
| | - Richard S Sandstrom
- Department of Genome Sciences, University of Washington, 3720 15th Ave. NE, Seattle, Washington 98195, USA
| | - Matthew L Eaton
- 1] Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, 32 Vassar St, Cambridge, Massachusetts 02139, USA. [2] The Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, Massachusetts 02142, USA
| | - Yi-Chieh Wu
- 1] Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, 32 Vassar St, Cambridge, Massachusetts 02139, USA. [2] The Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, Massachusetts 02142, USA
| | - Andreas R Pfenning
- 1] Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, 32 Vassar St, Cambridge, Massachusetts 02139, USA. [2] The Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, Massachusetts 02142, USA
| | - Xinchen Wang
- 1] Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, 32 Vassar St, Cambridge, Massachusetts 02139, USA. [2] The Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, Massachusetts 02142, USA. [3] Biology Department, Massachusetts Institute of Technology, 31 Ames St, Cambridge, Massachusetts 02142, USA
| | - Melina Claussnitzer
- 1] Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, 32 Vassar St, Cambridge, Massachusetts 02139, USA. [2] The Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, Massachusetts 02142, USA
| | - Yaping Liu
- 1] Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, 32 Vassar St, Cambridge, Massachusetts 02139, USA. [2] The Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, Massachusetts 02142, USA
| | - Cristian Coarfa
- Epigenome Center, Baylor College of Medicine, One Baylor Plaza, Houston, Texas 77030, USA
| | - R Alan Harris
- Epigenome Center, Baylor College of Medicine, One Baylor Plaza, Houston, Texas 77030, USA
| | - Noam Shoresh
- The Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, Massachusetts 02142, USA
| | - Charles B Epstein
- The Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, Massachusetts 02142, USA
| | - Elizabeta Gjoneska
- 1] The Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, Massachusetts 02142, USA. [2] The Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, 43 Vassar St, Cambridge, Massachusetts 02139, USA
| | - Danny Leung
- 1] Department of Cellular and Molecular Medicine, Institute of Genomic Medicine, Moores Cancer Center, Department of Chemistry and Biochemistry, University of California San Diego, 9500 Gilman Drive, La Jolla, California 92093, USA. [2] Ludwig Institute for Cancer Research, 9500 Gilman Drive, La Jolla, California 92093, USA
| | - Wei Xie
- 1] Department of Cellular and Molecular Medicine, Institute of Genomic Medicine, Moores Cancer Center, Department of Chemistry and Biochemistry, University of California San Diego, 9500 Gilman Drive, La Jolla, California 92093, USA. [2] Ludwig Institute for Cancer Research, 9500 Gilman Drive, La Jolla, California 92093, USA
| | - R David Hawkins
- 1] Department of Cellular and Molecular Medicine, Institute of Genomic Medicine, Moores Cancer Center, Department of Chemistry and Biochemistry, University of California San Diego, 9500 Gilman Drive, La Jolla, California 92093, USA. [2] Ludwig Institute for Cancer Research, 9500 Gilman Drive, La Jolla, California 92093, USA
| | - Ryan Lister
- Genomic Analysis Laboratory, Howard Hughes Medical Institute &The Salk Institute for Biological Studies, 10010 N. Torrey Pines Road, La Jolla, California 92037, USA
| | - Chibo Hong
- Department of Neurosurgery, Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, 1450 3rd Street, San Francisco, California 94158, USA
| | - Philippe Gascard
- Department of Pathology, University of California San Francisco, 513 Parnassus Avenue, San Francisco, California 94143-0511, USA
| | - Andrew J Mungall
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, 675 West 10th Avenue, Vancouver, British Columbia V5Z 1L3, Canada
| | - Richard Moore
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, 675 West 10th Avenue, Vancouver, British Columbia V5Z 1L3, Canada
| | - Eric Chuah
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, 675 West 10th Avenue, Vancouver, British Columbia V5Z 1L3, Canada
| | - Angela Tam
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, 675 West 10th Avenue, Vancouver, British Columbia V5Z 1L3, Canada
| | - Theresa K Canfield
- Department of Genome Sciences, University of Washington, 3720 15th Ave. NE, Seattle, Washington 98195, USA
| | - R Scott Hansen
- Department of Medicine, Division of Medical Genetics, University of Washington, 2211 Elliot Avenue, Seattle, Washington 98121, USA
| | - Rajinder Kaul
- Department of Medicine, Division of Medical Genetics, University of Washington, 2211 Elliot Avenue, Seattle, Washington 98121, USA
| | - Peter J Sabo
- Department of Genome Sciences, University of Washington, 3720 15th Ave. NE, Seattle, Washington 98195, USA
| | - Mukul S Bansal
- 1] Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, 32 Vassar St, Cambridge, Massachusetts 02139, USA. [2] The Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, Massachusetts 02142, USA. [3] Department of Computer Science &Engineering, University of Connecticut, 371 Fairfield Way, Storrs, Connecticut 06269, USA
| | - Annaick Carles
- Department of Microbiology and Immunology and Centre for High-Throughput Biology, University of British Columbia, 2125 East Mall, Vancouver, British Columbia V6T 1Z4, Canada
| | - Jesse R Dixon
- 1] Department of Cellular and Molecular Medicine, Institute of Genomic Medicine, Moores Cancer Center, Department of Chemistry and Biochemistry, University of California San Diego, 9500 Gilman Drive, La Jolla, California 92093, USA. [2] Ludwig Institute for Cancer Research, 9500 Gilman Drive, La Jolla, California 92093, USA
| | - Kai-How Farh
- The Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, Massachusetts 02142, USA
| | - Soheil Feizi
- 1] Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, 32 Vassar St, Cambridge, Massachusetts 02139, USA. [2] The Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, Massachusetts 02142, USA
| | - Rosa Karlic
- Bioinformatics Group, Department of Molecular Biology, Division of Biology, Faculty of Science, University of Zagreb, Horvatovac 102a, 10000 Zagreb, Croatia
| | - Ah-Ram Kim
- 1] Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, 32 Vassar St, Cambridge, Massachusetts 02139, USA. [2] The Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, Massachusetts 02142, USA
| | - Ashwinikumar Kulkarni
- Department of Molecular and Cell Biology, Center for Systems Biology, The University of Texas, Dallas, NSERL, RL10, 800 W Campbell Road, Richardson, Texas 75080, USA
| | - Daofeng Li
- Department of Genetics, Center for Genome Sciences and Systems Biology, Washington University in St Louis, 4444 Forest Park Ave, St Louis, Missouri 63108, USA
| | - Rebecca Lowdon
- Department of Genetics, Center for Genome Sciences and Systems Biology, Washington University in St Louis, 4444 Forest Park Ave, St Louis, Missouri 63108, USA
| | - GiNell Elliott
- Department of Genetics, Center for Genome Sciences and Systems Biology, Washington University in St Louis, 4444 Forest Park Ave, St Louis, Missouri 63108, USA
| | - Tim R Mercer
- Institute for Molecular Bioscience, University of Queensland, St Lucia, Queensland 4072, Australia
| | - Shane J Neph
- Department of Genome Sciences, University of Washington, 3720 15th Ave. NE, Seattle, Washington 98195, USA
| | - Vitor Onuchic
- Epigenome Center, Baylor College of Medicine, One Baylor Plaza, Houston, Texas 77030, USA
| | - Paz Polak
- 1] The Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, Massachusetts 02142, USA. [2] Brigham &Women's Hospital, 75 Francis Street, Boston, Massachusetts 02115, USA
| | - Nisha Rajagopal
- 1] Department of Cellular and Molecular Medicine, Institute of Genomic Medicine, Moores Cancer Center, Department of Chemistry and Biochemistry, University of California San Diego, 9500 Gilman Drive, La Jolla, California 92093, USA. [2] Ludwig Institute for Cancer Research, 9500 Gilman Drive, La Jolla, California 92093, USA
| | - Pradipta Ray
- Department of Molecular and Cell Biology, Center for Systems Biology, The University of Texas, Dallas, NSERL, RL10, 800 W Campbell Road, Richardson, Texas 75080, USA
| | - Richard C Sallari
- 1] Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, 32 Vassar St, Cambridge, Massachusetts 02139, USA. [2] The Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, Massachusetts 02142, USA
| | - Kyle T Siebenthall
- Department of Genome Sciences, University of Washington, 3720 15th Ave. NE, Seattle, Washington 98195, USA
| | - Nicholas A Sinnott-Armstrong
- 1] Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, 32 Vassar St, Cambridge, Massachusetts 02139, USA. [2] The Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, Massachusetts 02142, USA
| | - Michael Stevens
- 1] Department of Genetics, Center for Genome Sciences and Systems Biology, Washington University in St Louis, 4444 Forest Park Ave, St Louis, Missouri 63108, USA. [2] Department of Computer Science and Engineeering, Washington University in St. Louis, St. Louis, Missouri 63130, USA
| | - Robert E Thurman
- Department of Genome Sciences, University of Washington, 3720 15th Ave. NE, Seattle, Washington 98195, USA
| | - Jie Wu
- 1] Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, New York 11794-3600, USA. [2] Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724, USA
| | - Bo Zhang
- Department of Genetics, Center for Genome Sciences and Systems Biology, Washington University in St Louis, 4444 Forest Park Ave, St Louis, Missouri 63108, USA
| | - Xin Zhou
- Department of Genetics, Center for Genome Sciences and Systems Biology, Washington University in St Louis, 4444 Forest Park Ave, St Louis, Missouri 63108, USA
| | - Arthur E Beaudet
- Molecular and Human Genetics Department, Baylor College of Medicine, One Baylor Plaza, Houston, Texas 77030, USA
| | - Laurie A Boyer
- Biology Department, Massachusetts Institute of Technology, 31 Ames St, Cambridge, Massachusetts 02142, USA
| | - Philip L De Jager
- 1] The Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, Massachusetts 02142, USA. [2] Brigham &Women's Hospital, 75 Francis Street, Boston, Massachusetts 02115, USA. [3] Harvard Medical School, 25 Shattuck St, Boston, Massachusetts 02115, USA
| | - Peggy J Farnham
- Department of Biochemistry, Keck School of Medicine, University of Southern California, 1450 Biggy Street, Los Angeles, California 90089-9601, USA
| | - Susan J Fisher
- ObGyn, Reproductive Sciences, University of California San Francisco, 35 Medical Center Way, San Francisco, California 94143, USA
| | - David Haussler
- Center for Biomolecular Sciences and Engineering, University of Santa Cruz, 1156 High Street, Santa Cruz, California 95064, USA
| | - Steven J M Jones
- 1] Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, 675 West 10th Avenue, Vancouver, British Columbia V5Z 1L3, Canada. [2] Department of Molecular Biology and Biochemistry, Simon Fraser University, 8888 University Drive, Burnaby, British Columbia V5A 1S6, Canada. [3] Department of Medical Genetics, University of British Columbia, 2329 West Mall, Vancouver, BC, Canada, V6T 1Z4
| | - Wei Li
- Dan L. Duncan Cancer Center, Baylor College of Medicine, One Baylor Plaza, Houston, Texas 77030, USA
| | - Marco A Marra
- 1] Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, 675 West 10th Avenue, Vancouver, British Columbia V5Z 1L3, Canada. [2] Department of Medical Genetics, University of British Columbia, 2329 West Mall, Vancouver, BC, Canada, V6T 1Z4
| | - Michael T McManus
- Department of Microbiology and Immunology, Diabetes Center, University of California, San Francisco, 513 Parnassus Ave, San Francisco, California 94143-0534, USA
| | - Shamil Sunyaev
- 1] The Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, Massachusetts 02142, USA. [2] Brigham &Women's Hospital, 75 Francis Street, Boston, Massachusetts 02115, USA. [3] Harvard Medical School, 25 Shattuck St, Boston, Massachusetts 02115, USA
| | - James A Thomson
- 1] University of Wisconsin, Madison, Wisconsin 53715, USA. [2] Morgridge Institute for Research, 330 N. Orchard Street, Madison, Wisconsin 53707, USA
| | - Thea D Tlsty
- Department of Pathology, University of California San Francisco, 513 Parnassus Avenue, San Francisco, California 94143-0511, USA
| | - Li-Huei Tsai
- 1] The Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, Massachusetts 02142, USA. [2] The Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, 43 Vassar St, Cambridge, Massachusetts 02139, USA
| | - Wei Wang
- Department of Cellular and Molecular Medicine, Institute of Genomic Medicine, Moores Cancer Center, Department of Chemistry and Biochemistry, University of California San Diego, 9500 Gilman Drive, La Jolla, California 92093, USA
| | - Robert A Waterland
- USDA/ARS Children's Nutrition Research Center, Baylor College of Medicine, 1100 Bates Street, Houston, Texas 77030, USA
| | - Michael Q Zhang
- 1] Department of Molecular and Cell Biology, Center for Systems Biology, The University of Texas, Dallas, NSERL, RL10, 800 W Campbell Road, Richardson, Texas 75080, USA. [2] Bioinformatics Division, Center for Synthetic and Systems Biology, TNLIST, Tsinghua University, Beijing 100084, China
| | - Lisa H Chadwick
- National Institute of Environmental Health Sciences, 111 T.W. Alexander Drive, Research Triangle Park, North Carolina 27709, USA
| | - Bradley E Bernstein
- 1] The Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, Massachusetts 02142, USA. [2] Massachusetts General Hospital, 55 Fruit St, Boston, Massachusetts 02114, USA. [3] Howard Hughes Medical Institute, 4000 Jones Bridge Road, Chevy Chase, Maryland 20815-6789, USA
| | - Joseph F Costello
- Department of Neurosurgery, Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, 1450 3rd Street, San Francisco, California 94158, USA
| | - Joseph R Ecker
- Genomic Analysis Laboratory, Howard Hughes Medical Institute &The Salk Institute for Biological Studies, 10010 N. Torrey Pines Road, La Jolla, California 92037, USA
| | - Martin Hirst
- 1] Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, 675 West 10th Avenue, Vancouver, British Columbia V5Z 1L3, Canada. [2] Department of Microbiology and Immunology and Centre for High-Throughput Biology, University of British Columbia, 2125 East Mall, Vancouver, British Columbia V6T 1Z4, Canada
| | - Alexander Meissner
- 1] The Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, Massachusetts 02142, USA. [2] Department of Stem Cell and Regenerative Biology, 7 Divinity Ave, Cambridge, Massachusetts 02138, USA
| | | | - Bing Ren
- 1] Department of Cellular and Molecular Medicine, Institute of Genomic Medicine, Moores Cancer Center, Department of Chemistry and Biochemistry, University of California San Diego, 9500 Gilman Drive, La Jolla, California 92093, USA. [2] Ludwig Institute for Cancer Research, 9500 Gilman Drive, La Jolla, California 92093, USA
| | - John A Stamatoyannopoulos
- Department of Genome Sciences, University of Washington, 3720 15th Ave. NE, Seattle, Washington 98195, USA
| | - Ting Wang
- Department of Genetics, Center for Genome Sciences and Systems Biology, Washington University in St Louis, 4444 Forest Park Ave, St Louis, Missouri 63108, USA
| | - Manolis Kellis
- 1] Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, 32 Vassar St, Cambridge, Massachusetts 02139, USA. [2] The Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, Massachusetts 02142, USA
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