1
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Meuleman W, Muratov A, Rynes E, Halow J, Lee K, Bates D, Diegel M, Dunn D, Neri F, Teodosiadis A, Reynolds A, Haugen E, Nelson J, Johnson A, Frerker M, Buckley M, Sandstrom R, Vierstra J, Kaul R, Stamatoyannopoulos J. Index and biological spectrum of human DNase I hypersensitive sites. Nature 2020; 584:244-251. [PMID: 32728217 PMCID: PMC7422677 DOI: 10.1038/s41586-020-2559-3] [Citation(s) in RCA: 134] [Impact Index Per Article: 33.5] [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: 11/15/2019] [Accepted: 07/01/2020] [Indexed: 01/08/2023]
Abstract
DNase I hypersensitive sites (DHSs) are generic markers of regulatory DNA1–5 and contain genetic variations associated with diseases and phenotypic traits6–8. We created high-resolution maps of DHSs from 733 human biosamples encompassing 438 cell and tissue types and states, and integrated these to delineate and numerically index approximately 3.6 million DHSs within the human genome sequence, providing a common coordinate system for regulatory DNA. Here we show that these maps highly resolve the cis-regulatory compartment of the human genome, which encodes unexpectedly diverse cell- and tissue-selective regulatory programs at very high density. These programs can be captured comprehensively by a simple vocabulary that enables the assignment to each DHS of a regulatory barcode that encapsulates its tissue manifestations, and global annotation of protein-coding and non-coding RNA genes in a manner orthogonal to gene expression. Finally, we show that sharply resolved DHSs markedly enhance the genetic association and heritability signals of diseases and traits. Rather than being confined to a small number of distal elements or promoters, we find that genetic signals converge on congruently regulated sets of DHSs that decorate entire gene bodies. Together, our results create a universal, extensible coordinate system and vocabulary for human regulatory DNA marked by DHSs, and provide a new global perspective on the architecture of human gene regulation. High-resolution maps of DNase I hypersensitive sites from 733 human biosamples are used to identify and index regulatory DNA within the human genome.
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Affiliation(s)
| | | | - Eric Rynes
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | - Jessica Halow
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | - Kristen Lee
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | - Daniel Bates
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | - Morgan Diegel
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | - Douglas Dunn
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | - Fidencio Neri
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | | | - Alex Reynolds
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | - Eric Haugen
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | - Jemma Nelson
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | - Audra Johnson
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | - Mark Frerker
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | | | | | - Jeff Vierstra
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | - Rajinder Kaul
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | - John Stamatoyannopoulos
- Altius Institute for Biomedical Sciences, Seattle, WA, USA. .,Department of Genome Sciences, University of Washington, Seattle, WA, USA. .,Division of Oncology, Department of Medicine, University of Washington, Seattle, WA, USA.
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2
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Vierstra J, Lazar J, Sandstrom R, Halow J, Lee K, Bates D, Diegel M, Dunn D, Neri F, Haugen E, Rynes E, Reynolds A, Nelson J, Johnson A, Frerker M, Buckley M, Kaul R, Meuleman W, Stamatoyannopoulos JA. Global reference mapping of human transcription factor footprints. Nature 2020; 583:729-736. [PMID: 32728250 PMCID: PMC7410829 DOI: 10.1038/s41586-020-2528-x] [Citation(s) in RCA: 152] [Impact Index Per Article: 38.0] [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: 01/30/2020] [Accepted: 06/25/2020] [Indexed: 11/09/2022]
Abstract
Combinatorial binding of transcription factors to regulatory DNA underpins gene regulation in all organisms. Genetic variation in regulatory regions has been connected with diseases and diverse phenotypic traits1, but it remains challenging to distinguish variants that affect regulatory function2. Genomic DNase I footprinting enables the quantitative, nucleotide-resolution delineation of sites of transcription factor occupancy within native chromatin3-6. However, only a small fraction of such sites have been precisely resolved on the human genome sequence6. Here, to enable comprehensive mapping of transcription factor footprints, we produced high-density DNase I cleavage maps from 243 human cell and tissue types and states and integrated these data to delineate about 4.5 million compact genomic elements that encode transcription factor occupancy at nucleotide resolution. We map the fine-scale structure within about 1.6 million DNase I-hypersensitive sites and show that the overwhelming majority are populated by well-spaced sites of single transcription factor-DNA interaction. Cell-context-dependent cis-regulation is chiefly executed by wholesale modulation of accessibility at regulatory DNA rather than by differential transcription factor occupancy within accessible elements. We also show that the enrichment of genetic variants associated with diseases or phenotypic traits in regulatory regions1,7 is almost entirely attributable to variants within footprints, and that functional variants that affect transcription factor occupancy are nearly evenly partitioned between loss- and gain-of-function alleles. Unexpectedly, we find increased density of human genetic variation within transcription factor footprints, revealing an unappreciated driver of cis-regulatory evolution. Our results provide a framework for both global and nucleotide-precision analyses of gene regulatory mechanisms and functional genetic variation.
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Affiliation(s)
- Jeff Vierstra
- Altius Institute for Biomedical Sciences, Seattle, WA, USA.
| | - John Lazar
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | | | - Jessica Halow
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | - Kristen Lee
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | - Daniel Bates
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | - Morgan Diegel
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | - Douglas Dunn
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | - Fidencio Neri
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | - Eric Haugen
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | - Eric Rynes
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | - Alex Reynolds
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | - Jemma Nelson
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | - Audra Johnson
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | - Mark Frerker
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | | | - Rajinder Kaul
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | | | - John A Stamatoyannopoulos
- Altius Institute for Biomedical Sciences, Seattle, WA, USA.
- Department of Genome Sciences, University of Washington, Seattle, WA, USA.
- Division of Oncology, Department of Medicine, University of Washington, Seattle, WA, USA.
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3
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Lazar JE, Stehling-Sun S, Nandakumar V, Wang H, Chee DR, Howard NP, Acosta R, Dunn D, Diegel M, Neri F, Castillo A, Ibarrientos S, Lee K, Lescano N, Van Biber B, Nelson J, Halow J, Sandstrom R, Bates D, Urnov FD, Stamatoyannopoulos JA, Funnell APW. Global Regulatory DNA Potentiation by SMARCA4 Propagates to Selective Gene Expression Programs via Domain-Level Remodeling. Cell Rep 2020; 31:107788. [PMID: 32579918 DOI: 10.1016/j.celrep.2020.107788] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022] Open
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4
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Lazar JE, Stehling-Sun S, Nandakumar V, Wang H, Chee DR, Howard NP, Acosta R, Dunn D, Diegel M, Neri F, Castillo A, Ibarrientos S, Lee K, Lescano N, Van Biber B, Nelson J, Halow J, Sandstrom R, Bates D, Urnov FD, Stamatoyannopoulos JA, Funnell APW. Global Regulatory DNA Potentiation by SMARCA4 Propagates to Selective Gene Expression Programs via Domain-Level Remodeling. Cell Rep 2020; 31:107676. [PMID: 32460018 DOI: 10.1016/j.celrep.2020.107676] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2019] [Revised: 12/23/2019] [Accepted: 04/30/2020] [Indexed: 01/02/2023] Open
Abstract
The human genome encodes millions of regulatory elements, of which only a small fraction are active within a given cell type. Little is known about the global impact of chromatin remodelers on regulatory DNA landscapes and how this translates to gene expression. We use precision genome engineering to reawaken homozygously inactivated SMARCA4, a central ATPase of the human SWI/SNF chromatin remodeling complex, in lung adenocarcinoma cells. Here, we combine DNase I hypersensitivity, histone modification, and transcriptional profiling to show that SMARCA4 dramatically increases both the number and magnitude of accessible chromatin sites genome-wide, chiefly by unmasking sites of low regulatory factor occupancy. By contrast, transcriptional changes are concentrated within well-demarcated remodeling domains wherein expression of specific genes is gated by both distal element activation and promoter chromatin configuration. Our results provide a perspective on how global chromatin remodeling activity is translated to gene expression via regulatory DNA.
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Affiliation(s)
- John E Lazar
- Departments of Genome Sciences and Medicine, University of Washington School of Medicine, Seattle, WA 98195, USA; Altius Institute for Biomedical Sciences, Seattle, WA 98121, USA
| | | | - Vivek Nandakumar
- Altius Institute for Biomedical Sciences, Seattle, WA 98121, USA
| | - Hao Wang
- Altius Institute for Biomedical Sciences, Seattle, WA 98121, USA
| | - Daniel R Chee
- Departments of Genome Sciences and Medicine, University of Washington School of Medicine, Seattle, WA 98195, USA; Altius Institute for Biomedical Sciences, Seattle, WA 98121, USA
| | | | - Reyes Acosta
- Altius Institute for Biomedical Sciences, Seattle, WA 98121, USA
| | - Douglass Dunn
- Altius Institute for Biomedical Sciences, Seattle, WA 98121, USA
| | - Morgan Diegel
- Altius Institute for Biomedical Sciences, Seattle, WA 98121, USA
| | - Fidencio Neri
- Altius Institute for Biomedical Sciences, Seattle, WA 98121, USA
| | - Andres Castillo
- Altius Institute for Biomedical Sciences, Seattle, WA 98121, USA
| | - Sean Ibarrientos
- Altius Institute for Biomedical Sciences, Seattle, WA 98121, USA
| | - Kristen Lee
- Altius Institute for Biomedical Sciences, Seattle, WA 98121, USA
| | - Ninnia Lescano
- Altius Institute for Biomedical Sciences, Seattle, WA 98121, USA
| | - Ben Van Biber
- Altius Institute for Biomedical Sciences, Seattle, WA 98121, USA
| | - Jemma Nelson
- Altius Institute for Biomedical Sciences, Seattle, WA 98121, USA
| | - Jessica Halow
- Altius Institute for Biomedical Sciences, Seattle, WA 98121, USA
| | | | - Daniel Bates
- Altius Institute for Biomedical Sciences, Seattle, WA 98121, USA
| | - Fyodor D Urnov
- Altius Institute for Biomedical Sciences, Seattle, WA 98121, USA
| | - John A Stamatoyannopoulos
- Departments of Genome Sciences and Medicine, University of Washington School of Medicine, Seattle, WA 98195, USA; Altius Institute for Biomedical Sciences, Seattle, WA 98121, USA.
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5
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Sieber KB, Batorsky A, Siebenthall K, Hudkins KL, Vierstra JD, Sullivan S, Sur A, McNulty M, Sandstrom R, Reynolds A, Bates D, Diegel M, Dunn D, Nelson J, Buckley M, Kaul R, Sampson MG, Himmelfarb J, Alpers CE, Waterworth D, Akilesh S. Integrated Functional Genomic Analysis Enables Annotation of Kidney Genome-Wide Association Study Loci. J Am Soc Nephrol 2019; 30:421-441. [PMID: 30760496 PMCID: PMC6405142 DOI: 10.1681/asn.2018030309] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2018] [Accepted: 12/26/2018] [Indexed: 01/13/2023] Open
Abstract
BACKGROUND Linking genetic risk loci identified by genome-wide association studies (GWAS) to their causal genes remains a major challenge. Disease-associated genetic variants are concentrated in regions containing regulatory DNA elements, such as promoters and enhancers. Although researchers have previously published DNA maps of these regulatory regions for kidney tubule cells and glomerular endothelial cells, maps for podocytes and mesangial cells have not been available. METHODS We generated regulatory DNA maps (DNase-seq) and paired gene expression profiles (RNA-seq) from primary outgrowth cultures of human glomeruli that were composed mainly of podocytes and mesangial cells. We generated similar datasets from renal cortex cultures, to compare with those of the glomerular cultures. Because regulatory DNA elements can act on target genes across large genomic distances, we also generated a chromatin conformation map from freshly isolated human glomeruli. RESULTS We identified thousands of unique regulatory DNA elements, many located close to transcription factor genes, which the glomerular and cortex samples expressed at different levels. We found that genetic variants associated with kidney diseases (GWAS) and kidney expression quantitative trait loci were enriched in regulatory DNA regions. By combining GWAS, epigenomic, and chromatin conformation data, we functionally annotated 46 kidney disease genes. CONCLUSIONS We demonstrate a powerful approach to functionally connect kidney disease-/trait-associated loci to their target genes by leveraging unique regulatory DNA maps and integrated epigenomic and genetic analysis. This process can be applied to other kidney cell types and will enhance our understanding of genome regulation and its effects on gene expression in kidney disease.
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Affiliation(s)
| | - Anna Batorsky
- Altius Institute for Biomedical Sciences, Seattle, Washington
| | | | | | - Jeff D Vierstra
- Altius Institute for Biomedical Sciences, Seattle, Washington
| | | | - Aakash Sur
- Phase Genomics Inc., Seattle, Washington
- Department of Biomedical and Health Informatics, and
| | - Michelle McNulty
- Division of Pediatric Nephrology, Department of Pediatrics, University of Michigan School of Medicine, Ann Arbor, Michigan; and
| | | | - Alex Reynolds
- Altius Institute for Biomedical Sciences, Seattle, Washington
| | - Daniel Bates
- Altius Institute for Biomedical Sciences, Seattle, Washington
| | - Morgan Diegel
- Altius Institute for Biomedical Sciences, Seattle, Washington
| | - Douglass Dunn
- Altius Institute for Biomedical Sciences, Seattle, Washington
| | - Jemma Nelson
- Altius Institute for Biomedical Sciences, Seattle, Washington
| | - Michael Buckley
- Altius Institute for Biomedical Sciences, Seattle, Washington
| | - Rajinder Kaul
- Altius Institute for Biomedical Sciences, Seattle, Washington
| | - Matthew G Sampson
- Division of Pediatric Nephrology, Department of Pediatrics, University of Michigan School of Medicine, Ann Arbor, Michigan; and
| | - Jonathan Himmelfarb
- Division of Nephrology, Department of Medicine, University of Washington, Seattle, Washington
- Kidney Research Institute, Seattle, Washington
| | - Charles E Alpers
- Department of Anatomic Pathology
- Kidney Research Institute, Seattle, Washington
| | | | - Shreeram Akilesh
- Department of Anatomic Pathology,
- Kidney Research Institute, Seattle, Washington
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6
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Sullivan AM, Arsovski AA, Thompson A, Sandstrom R, Thurman RE, Neph S, Johnson AK, Sullivan ST, Sabo PJ, Neri FV, Weaver M, Diegel M, Nemhauser JL, Stamatoyannopoulos JA, Bubb KL, Queitsch C. Mapping and Dynamics of Regulatory DNA in Maturing Arabidopsis thaliana Siliques. Front Plant Sci 2019; 10:1434. [PMID: 31798605 PMCID: PMC6868056 DOI: 10.3389/fpls.2019.01434] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/21/2019] [Accepted: 10/16/2019] [Indexed: 05/04/2023]
Abstract
The genome is reprogrammed during development to produce diverse cell types, largely through altered expression and activity of key transcription factors. The accessibility and critical functions of epidermal cells have made them a model for connecting transcriptional events to development in a range of model systems. In Arabidopsis thaliana and many other plants, fertilization triggers differentiation of specialized epidermal seed coat cells that have a unique morphology caused by large extracellular deposits of polysaccharides. Here, we used DNase I-seq to generate regulatory landscapes of A. thaliana seeds at two critical time points in seed coat maturation (4 and 7 DPA), enriching for seed coat cells with the INTACT method. We found over 3,000 developmentally dynamic regulatory DNA elements and explored their relationship with nearby gene expression. The dynamic regulatory elements were enriched for motifs for several transcription factors families; most notably the TCP family at the earlier time point and the MYB family at the later one. To assess the extent to which the observed regulatory sites in seeds added to previously known regulatory sites in A. thaliana, we compared our data to 11 other data sets generated with 7-day-old seedlings for diverse tissues and conditions. Surprisingly, over a quarter of the regulatory, i.e. accessible, bases observed in seeds were novel. Notably, plant regulatory landscapes from different tissues, cell types, or developmental stages were more dynamic than those generated from bulk tissue in response to environmental perturbations, highlighting the importance of extending studies of regulatory DNA to single tissues and cell types during development.
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Affiliation(s)
| | - Andrej A. Arsovski
- Department of Biology, University of Washington, Seattle, WA, United States
| | - Agnieszka Thompson
- Department of Genome Sciences, University of Washington, Seattle, WA, United States
| | - Richard Sandstrom
- Department of Genome Sciences, University of Washington, Seattle, WA, United States
| | - Robert E. Thurman
- Department of Genome Sciences, University of Washington, Seattle, WA, United States
| | - Shane Neph
- Department of Genome Sciences, University of Washington, Seattle, WA, United States
| | - Audra K. Johnson
- Department of Genome Sciences, University of Washington, Seattle, WA, United States
| | - Shawn T. Sullivan
- Department of Genome Sciences, University of Washington, Seattle, WA, United States
| | - Peter J. Sabo
- Department of Genome Sciences, University of Washington, Seattle, WA, United States
| | - Fidencio V. Neri
- Department of Genome Sciences, University of Washington, Seattle, WA, United States
| | - Molly Weaver
- Department of Genome Sciences, University of Washington, Seattle, WA, United States
| | - Morgan Diegel
- Department of Genome Sciences, University of Washington, Seattle, WA, United States
| | | | | | - Kerry L. Bubb
- Department of Genome Sciences, University of Washington, Seattle, WA, United States
- *Correspondence: Kerry L. Bubb,
| | - Christine Queitsch
- Department of Genome Sciences, University of Washington, Seattle, WA, United States
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7
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Dixon JR, Xu J, Dileep V, Zhan Y, Song F, Le VT, Yardımcı GG, Chakraborty A, Bann DV, Wang Y, Clark R, Zhang L, Yang H, Liu T, Iyyanki S, An L, Pool C, Sasaki T, Rivera-Mulia JC, Ozadam H, Lajoie BR, Kaul R, Buckley M, Lee K, Diegel M, Pezic D, Ernst C, Hadjur S, Odom DT, Stamatoyannopoulos JA, Broach JR, Hardison RC, Ay F, Noble WS, Dekker J, Gilbert DM, Yue F. Integrative detection and analysis of structural variation in cancer genomes. Nat Genet 2018; 50:1388-1398. [PMID: 30202056 PMCID: PMC6301019 DOI: 10.1038/s41588-018-0195-8] [Citation(s) in RCA: 200] [Impact Index Per Article: 33.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2017] [Accepted: 07/16/2018] [Indexed: 01/19/2023]
Abstract
Structural variants (SVs) can contribute to oncogenesis through a variety of mechanisms. Despite their importance, the identification of SVs in cancer genomes remains challenging. Here, we present a framework that integrates optical mapping, high-throughput chromosome conformation capture (Hi-C), and whole-genome sequencing to systematically detect SVs in a variety of normal or cancer samples and cell lines. We identify the unique strengths of each method and demonstrate that only integrative approaches can comprehensively identify SVs in the genome. By combining Hi-C and optical mapping, we resolve complex SVs and phase multiple SV events to a single haplotype. Furthermore, we observe widespread structural variation events affecting the functions of noncoding sequences, including the deletion of distal regulatory sequences, alteration of DNA replication timing, and the creation of novel three-dimensional chromatin structural domains. Our results indicate that noncoding SVs may be underappreciated mutational drivers in cancer genomes.
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Affiliation(s)
- Jesse R Dixon
- Salk Institute for Biological Studies, La Jolla, CA, USA.
| | - Jie Xu
- Department of Biochemistry and Molecular Biology, College of Medicine, The Pennsylvania State University, Hershey, PA, USA
| | - Vishnu Dileep
- Department of Biological Science, Florida State University, Tallahassee, FL, USA
| | - Ye Zhan
- Program in Systems Biology, Department of Biochemistry and Molecular Pharmacology, University of Massachusetts Medical School, Worcester, MA, USA
| | - Fan Song
- Bioinformatics and Genomics Program, The Pennsylvania State University, University Park, State College, PA, USA
| | - Victoria T Le
- Salk Institute for Biological Studies, La Jolla, CA, USA
| | | | | | - Darrin V Bann
- Division of Otolaryngology, Head & Neck Surgery, Milton S. Hershey Medical Center, Hershey, PA, USA
| | - Yanli Wang
- Bioinformatics and Genomics Program, The Pennsylvania State University, University Park, State College, PA, USA
| | - Royden Clark
- Penn State College of Medicine, Informatics and Technology, Hershey, PA, USA
| | - Lijun Zhang
- Department of Biochemistry and Molecular Biology, College of Medicine, The Pennsylvania State University, Hershey, PA, USA
| | - Hongbo Yang
- Department of Biochemistry and Molecular Biology, College of Medicine, The Pennsylvania State University, Hershey, PA, USA
| | - Tingting Liu
- Department of Biochemistry and Molecular Biology, College of Medicine, The Pennsylvania State University, Hershey, PA, USA
| | - Sriranga Iyyanki
- Department of Biochemistry and Molecular Biology, College of Medicine, The Pennsylvania State University, Hershey, PA, USA
| | - Lin An
- Bioinformatics and Genomics Program, The Pennsylvania State University, University Park, State College, PA, USA
| | - Christopher Pool
- Division of Otolaryngology, Head & Neck Surgery, Milton S. Hershey Medical Center, Hershey, PA, USA
| | - Takayo Sasaki
- Department of Biological Science, Florida State University, Tallahassee, FL, USA
| | | | - Hakan Ozadam
- Program in Systems Biology, Department of Biochemistry and Molecular Pharmacology, University of Massachusetts Medical School, Worcester, MA, USA
| | - Bryan R Lajoie
- Program in Systems Biology, Department of Biochemistry and Molecular Pharmacology, University of Massachusetts Medical School, Worcester, MA, USA
| | - Rajinder Kaul
- Altius institute for Biomedical Sciences, Seattle, WA, USA
| | | | - Kristen Lee
- Altius institute for Biomedical Sciences, Seattle, WA, USA
| | - Morgan Diegel
- Altius institute for Biomedical Sciences, Seattle, WA, USA
| | - Dubravka Pezic
- Research Department of Cancer Biology, Cancer Institute, University College London, London, UK
| | - Christina Ernst
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
| | - Suzana Hadjur
- Research Department of Cancer Biology, Cancer Institute, University College London, London, UK
| | - Duncan T Odom
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
- German Cancer Research Center (DKFZ), Division Signaling and Functional Genomics, Heidelberg, Germany
| | | | - James R Broach
- Department of Biochemistry and Molecular Biology, College of Medicine, The Pennsylvania State University, Hershey, PA, USA
| | - Ross C Hardison
- Center for Comparative Genomics and Bioinformatics, Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, State College, PA, USA
| | - Ferhat Ay
- La Jolla Institute for Allergy and Immunology, La Jolla, CA, USA.
- School of Medicine, University of California San Diego, La Jolla, CA, USA.
| | | | - Job Dekker
- Program in Systems Biology, Department of Biochemistry and Molecular Pharmacology, University of Massachusetts Medical School, Worcester, MA, USA.
- Howard Hughes Medical Institute, Chevy Chase, MD, USA.
| | - David M Gilbert
- Department of Biological Science, Florida State University, Tallahassee, FL, USA.
| | - Feng Yue
- Department of Biochemistry and Molecular Biology, College of Medicine, The Pennsylvania State University, Hershey, PA, USA.
- Bioinformatics and Genomics Program, The Pennsylvania State University, University Park, State College, PA, USA.
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8
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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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9
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Stergachis AB, Neph S, Sandstrom R, Haugen E, Reynolds AP, Zhang M, Byron R, Canfield T, Stelhing-Sun S, Lee K, Thurman RE, Vong S, Bates D, Neri F, Diegel M, Giste E, Dunn D, Vierstra J, Hansen RS, Johnson AK, Sabo PJ, Wilken MS, Reh TA, Treuting PM, Kaul R, Groudine M, Bender MA, Borenstein E, Stamatoyannopoulos JA. Conservation of trans-acting circuitry during mammalian regulatory evolution. Nature 2015; 515:365-70. [PMID: 25409825 PMCID: PMC4405208 DOI: 10.1038/nature13972] [Citation(s) in RCA: 176] [Impact Index Per Article: 19.6] [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] [Received: 02/21/2014] [Accepted: 10/15/2014] [Indexed: 12/27/2022]
Abstract
The basic body plan and major physiological axes have been highly conserved during mammalian evolution, yet only a small fraction of the human genome sequence appears to be subject to evolutionary constraint. To quantify cis- versus trans-acting contributions to mammalian regulatory evolution, we performed genomic DNase I footprinting of the mouse genome across 25 cell and tissue types, collectively defining ∼8.6 million transcription factor (TF) occupancy sites at nucleotide resolution. Here we show that mouse TF footprints conjointly encode a regulatory lexicon that is ∼95% similar with that derived from human TF footprints. However, only ∼20% of mouse TF footprints have human orthologues. Despite substantial turnover of the cis-regulatory landscape, nearly half of all pairwise regulatory interactions connecting mouse TF genes have been maintained in orthologous human cell types through evolutionary innovation of TF recognition sequences. Furthermore, the higher-level organization of mouse TF-to-TF connections into cellular network architectures is nearly identical with human. Our results indicate that evolutionary selection on mammalian gene regulation is targeted chiefly at the level of trans-regulatory circuitry, enabling and potentiating cis-regulatory plasticity. Mouse genomic footprinting reveals conservation of transcription factor (TF) recognition repertoires and trans-regulatory circuitry despite massive turnover of DNA elements that contact TFs in vivo. Having generated genomic DNase I footprinting data of the mouse genome across 25 cell and tissue types, these authors use these data to quantify cis-versus-trans regulatory contributions to mammalian regulatory evolution. They describe more than 600 motifs that collectively are over 95% similar to that recognized in vivo by human transcription factors (TFs). Despite substantial turnover of the cis-regulatory landscape around each TF gene, nearly half of all pairwise regulatory interactions connecting mouse TF genes have been maintained in orthologous human cell types through evolutionary innovation of TF recognition sequences. Conservation between mouse and human TF regulatory networks is particularly similar at the highest organization level. The work was performed as part of the mouse ENCODE project.
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Affiliation(s)
- Andrew B Stergachis
- 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 Sandstrom
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Eric Haugen
- 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
| | - Miaohua Zhang
- Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA
| | - Rachel Byron
- Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA
| | - Theresa Canfield
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Sandra Stelhing-Sun
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Kristen Lee
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Robert E Thurman
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Shinny Vong
- 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
| | - Erika Giste
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Douglas Dunn
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Jeff Vierstra
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - R Scott Hansen
- 1] Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA [2] Department of Medicine, University of Washington, Seattle, Washington 98195, USA
| | - Audra K Johnson
- 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, Seattle, Washington 98195, USA
| | - Thomas A Reh
- Department of Biological Structure, University of Washington, Seattle, Washington 98195, USA
| | - Piper M Treuting
- Department of Comparative Medicine, University of Washington, Seattle, Washington 98195, USA
| | - Rajinder Kaul
- 1] Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA [2] Department of Medicine, University of Washington, Seattle, Washington 98195, USA
| | - Mark Groudine
- 1] Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA [2] Division of Radiation Oncology, University of Washington, Seattle, Washington 98195, USA
| | - M A Bender
- 1] Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA [2] Department of Pediatrics, University of Washington, Seattle, Washington 98195, USA
| | - Elhanan Borenstein
- 1] Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA [2] Department of Computer Science and Engineering, University of Washington, Seattle, Washington 98102, USA [3] Santa Fe Institute, Santa Fe, New Mexico 87501, USA
| | - John A Stamatoyannopoulos
- 1] Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA [2] Department of Medicine, University of Washington, Seattle, Washington 98195, USA
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10
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Vierstra J, Rynes E, Sandstrom R, Zhang M, Canfield T, Hansen RS, Stehling-Sun S, Sabo PJ, Byron R, Humbert R, Thurman RE, Johnson AK, Vong S, Lee K, Bates D, Neri F, Diegel M, Giste E, Haugen E, Dunn D, Wilken MS, Josefowicz S, Samstein R, Chang KH, Eichler EE, De Bruijn M, Reh TA, Skoultchi A, Rudensky A, Orkin SH, Papayannopoulou T, Treuting PM, Selleri L, Kaul R, Groudine M, Bender MA, Stamatoyannopoulos JA. Mouse regulatory DNA landscapes reveal global principles of cis-regulatory evolution. Science 2014; 346:1007-12. [PMID: 25411453 PMCID: PMC4337786 DOI: 10.1126/science.1246426] [Citation(s) in RCA: 186] [Impact Index Per Article: 18.6] [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: 12/14/2022]
Abstract
To study the evolutionary dynamics of regulatory DNA, we mapped >1.3 million deoxyribonuclease I-hypersensitive sites (DHSs) in 45 mouse cell and tissue types, and systematically compared these with human DHS maps from orthologous compartments. We found that the mouse and human genomes have undergone extensive cis-regulatory rewiring that combines branch-specific evolutionary innovation and loss with widespread repurposing of conserved DHSs to alternative cell fates, and that this process is mediated by turnover of transcription factor (TF) recognition elements. Despite pervasive evolutionary remodeling of the location and content of individual cis-regulatory regions, within orthologous mouse and human cell types the global fraction of regulatory DNA bases encoding recognition sites for each TF has been strictly conserved. Our findings provide new insights into the evolutionary forces shaping mammalian regulatory DNA landscapes.
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Affiliation(s)
- Jeff Vierstra
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Eric Rynes
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Richard Sandstrom
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Miaohua Zhang
- Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Theresa Canfield
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - R Scott Hansen
- Division of Medical Genetics, Department of Medicine, University of Washington, Seattle, WA 98195, USA
| | - Sandra Stehling-Sun
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Peter J Sabo
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Rachel Byron
- Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Richard Humbert
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Robert E Thurman
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Audra K Johnson
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Shinny Vong
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Kristen Lee
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Daniel Bates
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Fidencio Neri
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Morgan Diegel
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Erika Giste
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Eric Haugen
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Douglas Dunn
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Matthew S Wilken
- Department of Biological Structure, University of Washington, Seattle, WA 98195, USA
| | - Steven Josefowicz
- Immunology Program, Memorial Sloan-Kettering Cancer Center, New York, NY 10065, USA. Howard Hughes Medical Institute
| | - Robert Samstein
- Immunology Program, Memorial Sloan-Kettering Cancer Center, New York, NY 10065, USA. Howard Hughes Medical Institute
| | - Kai-Hsin Chang
- Division of Hematology, Department of Medicine, University of Washington, Seattle, WA 98195, USA
| | - Evan E Eichler
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA. Howard Hughes Medical Institute
| | - Marella De Bruijn
- Medical Research Council (MRC) Molecular Haematology Unit, Weatherall Institute of Molecular Medicine, John Radcliffe Hospital, Oxford OX3 9DS, UK
| | - Thomas A Reh
- Department of Biological Structure, University of Washington, Seattle, WA 98195, USA
| | - Arthur Skoultchi
- Department of Cell Biology, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - Alexander Rudensky
- Immunology Program, Memorial Sloan-Kettering Cancer Center, New York, NY 10065, USA. Howard Hughes Medical Institute
| | - Stuart H Orkin
- Howard Hughes Medical Institute. Division of Hematology/Oncology, Children's Hospital Boston and Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Stem Cell Institute, Harvard Medical School, Boston, MA 02115, USA
| | - Thalia Papayannopoulou
- Division of Hematology, Department of Medicine, University of Washington, Seattle, WA 98195, USA
| | - Piper M Treuting
- Department of Comparative Medicine, University of Washington, Seattle, WA 98195, USA
| | - Licia Selleri
- Department of Cell and Developmental Biology, Weill Medical College of Cornell University, New York, NY 10065, USA
| | - Rajinder Kaul
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA. Division of Medical Genetics, Department of Medicine, University of Washington, Seattle, WA 98195, USA
| | - Mark Groudine
- Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA. Department of Radiation Oncology, University of Washington, Seattle, WA 98109, USA
| | - M A Bender
- Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA. Department of Pediatrics, University of Washington, Seattle, WA 98195, USA
| | - John A Stamatoyannopoulos
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA. Division of Oncology, Department of Medicine, University of Washington, Seattle, WA 98195, USA.
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11
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Sullivan AM, Arsovski AA, Lempe J, Bubb KL, Weirauch MT, Sabo PJ, Sandstrom R, Thurman RE, Neph S, Reynolds AP, Stergachis AB, Vernot B, Johnson AK, Haugen E, Sullivan ST, Thompson A, Neri FV, Weaver M, Diegel M, Mnaimneh S, Yang A, Hughes TR, Nemhauser JL, Queitsch C, Stamatoyannopoulos JA. Mapping and dynamics of regulatory DNA and transcription factor networks in A. thaliana. Cell Rep 2014; 8:2015-2030. [PMID: 25220462 DOI: 10.1016/j.celrep.2014.08.019] [Citation(s) in RCA: 159] [Impact Index Per Article: 15.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2013] [Revised: 05/20/2014] [Accepted: 08/07/2014] [Indexed: 01/23/2023] Open
Abstract
Our understanding of gene regulation in plants is constrained by our limited knowledge of plant cis-regulatory DNA and its dynamics. We mapped DNase I hypersensitive sites (DHSs) in A. thaliana seedlings and used genomic footprinting to delineate ∼ 700,000 sites of in vivo transcription factor (TF) occupancy at nucleotide resolution. We show that variation associated with 72 diverse quantitative phenotypes localizes within DHSs. TF footprints encode an extensive cis-regulatory lexicon subject to recent evolutionary pressures, and widespread TF binding within exons may have shaped codon usage patterns. The architecture of A. thaliana TF regulatory networks is strikingly similar to that of animals in spite of diverged regulatory repertoires. We analyzed regulatory landscape dynamics during heat shock and photomorphogenesis, disclosing thousands of environmentally sensitive elements and enabling mapping of key TF regulatory circuits underlying these fundamental responses. Our results provide an extensive resource for the study of A. thaliana gene regulation and functional biology.
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Affiliation(s)
| | - Andrej A Arsovski
- Department of Biology, University of Washington, Seattle, WA 98195, USA
| | - Janne Lempe
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Kerry L Bubb
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Matthew T Weirauch
- Center for Autoimmune Genomics and Etiology (CAGE) and Divisions of Biomedical Informatics and Developmental Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA
| | - Peter J Sabo
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Richard Sandstrom
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Robert E Thurman
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Shane Neph
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Alex P Reynolds
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Andrew B Stergachis
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Benjamin Vernot
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Audra K Johnson
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Eric Haugen
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Shawn T Sullivan
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Agnieszka Thompson
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Fidencio V Neri
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Molly Weaver
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Morgan Diegel
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Sanie Mnaimneh
- Donnelly Centre and Department of Molecular Genetics, University of Toronto, Toronto ON M5S 3E1, Canada
| | - Ally Yang
- Donnelly Centre and Department of Molecular Genetics, University of Toronto, Toronto ON M5S 3E1, Canada
| | - Timothy R Hughes
- Donnelly Centre and Department of Molecular Genetics, University of Toronto, Toronto ON M5S 3E1, Canada; Canadian Institute for Advanced Research (CIFAR) Program in Genetic Networks, Toronto ON M5G 1Z8, Canada
| | | | - Christine Queitsch
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA.
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12
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Thurman RE, Rynes E, Humbert R, Vierstra J, Maurano MT, Haugen E, Sheffield NC, Stergachis AB, Wang H, Vernot B, Garg K, Sandstrom R, Bates D, Canfield TK, Diegel M, Dunn D, Ebersol AK, Frum T, Giste E, Harding L, Johnson AK, Johnson EM, Kutyavin T, Lajoie B, Lee BK, Lee K, London D, Lotakis D, Neph S, Neri F, Nguyen ED, Reynolds AP, Roach V, Safi A, Sanchez ME, Sanyal A, Shafer A, Simon JM, Song L, Vong S, Weaver M, Zhang Z, Zhang Z, Lenhard B, Tewari M, Dorschner MO, Hansen RS, Navas PA, Stamatoyannopoulos G, Iyer VR, Lieb JD, Sunyaev SR, Akey JM, Sabo PJ, Kaul R, Furey TS, Dekker J, Crawford GE, Stamatoyannopoulos JA. The accessible chromatin landscape of the human genome. Nature 2012; 489:75-82. [PMID: 22955617 PMCID: PMC3721348 DOI: 10.1038/nature11232] [Citation(s) in RCA: 1898] [Impact Index Per Article: 158.2] [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: 12/15/2011] [Accepted: 05/15/2012] [Indexed: 02/07/2023]
Abstract
DNase I hypersensitive sites (DHSs) are markers of regulatory DNA and have underpinned the discovery of all classes of cis-regulatory elements including enhancers, promoters, insulators, silencers and locus control regions. Here we present the first extensive map of human DHSs identified through genome-wide profiling in 125 diverse cell and tissue types. We identify ∼2.9 million DHSs that encompass virtually all known experimentally validated cis-regulatory sequences and expose a vast trove of novel elements, most with highly cell-selective regulation. Annotating these elements using ENCODE data reveals novel relationships between chromatin accessibility, transcription, DNA methylation and regulatory factor occupancy patterns. We connect ∼580,000 distal DHSs with their target promoters, revealing systematic pairing of different classes of distal DHSs and specific promoter types. Patterning of chromatin accessibility at many regulatory regions is organized with dozens to hundreds of co-activated elements, and the transcellular DNase I sensitivity pattern at a given region can predict cell-type-specific functional behaviours. The DHS landscape shows signatures of recent functional evolutionary constraint. However, the DHS compartment in pluripotent and immortalized cells exhibits higher mutation rates than that in highly differentiated cells, exposing an unexpected link between chromatin accessibility, proliferative potential and patterns of human variation.
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Affiliation(s)
- Robert E. Thurman
- Department of Genome Sciences, University of Washington, Seattle, WA
| | - Eric Rynes
- Department of Genome Sciences, University of Washington, Seattle, WA
| | - Richard Humbert
- Department of Genome Sciences, University of Washington, Seattle, WA
| | - Jeff Vierstra
- Department of Genome Sciences, University of Washington, Seattle, WA
| | | | - Eric Haugen
- Department of Genome Sciences, University of Washington, Seattle, WA
| | | | | | - Hao Wang
- Department of Genome Sciences, University of Washington, Seattle, WA
| | - Benjamin Vernot
- Department of Genome Sciences, University of Washington, Seattle, WA
| | - Kavita Garg
- Division of Human Biology, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Richard Sandstrom
- Department of Genome Sciences, University of Washington, Seattle, WA
| | - Daniel Bates
- Department of Genome Sciences, University of Washington, Seattle, WA
| | | | - Morgan Diegel
- Department of Genome Sciences, University of Washington, Seattle, WA
| | - Douglas Dunn
- Department of Genome Sciences, University of Washington, Seattle, WA
| | - Abigail K. Ebersol
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, WA
| | - Tristan Frum
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, WA
| | - Erika Giste
- Department of Genome Sciences, University of Washington, Seattle, WA
| | - Lisa Harding
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, WA
| | - Audra K. Johnson
- Department of Genome Sciences, University of Washington, Seattle, WA
| | - Ericka M. Johnson
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, WA
| | - Tanya Kutyavin
- Department of Genome Sciences, University of Washington, Seattle, WA
| | - Bryan Lajoie
- Program in Gene Function, University of Massachusetts Medical School, Worcester, MA
| | - Bum-Kyu Lee
- Institute for Cellular and Molecular Biology, University of Texas, Austin, TX
| | - Kristen Lee
- Department of Genome Sciences, University of Washington, Seattle, WA
| | - Darin London
- Institute for Genome Sciences and Policy, Duke University, Durham, NC
| | - Dimitra Lotakis
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, WA
| | - Shane Neph
- Department of Genome Sciences, University of Washington, Seattle, WA
| | - Fidencio Neri
- Department of Genome Sciences, University of Washington, Seattle, WA
| | - Eric D. Nguyen
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, WA
| | - Alex P. Reynolds
- Department of Genome Sciences, University of Washington, Seattle, WA
| | - Vaughn Roach
- Department of Genome Sciences, University of Washington, Seattle, WA
| | - Alexias Safi
- Institute for Genome Sciences and Policy, Duke University, Durham, NC
| | - Minerva E. Sanchez
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, WA
| | - Amartya Sanyal
- Program in Gene Function, University of Massachusetts Medical School, Worcester, MA
| | - Anthony Shafer
- Department of Genome Sciences, University of Washington, Seattle, WA
| | - Jeremy M. Simon
- Department of Biology, University of North Carolina, Chapel Hill, NC
| | - Lingyun Song
- Institute for Genome Sciences and Policy, Duke University, Durham, NC
| | - Shinny Vong
- Department of Genome Sciences, University of Washington, Seattle, WA
| | - Molly Weaver
- Department of Genome Sciences, University of Washington, Seattle, WA
| | - Zhancheng Zhang
- Department of Biology, University of North Carolina, Chapel Hill, NC
| | - Zhuzhu Zhang
- Department of Biology, University of North Carolina, Chapel Hill, NC
| | - Boris Lenhard
- Bergen Center for Computational Science, University of Bergen, Bergen, Norway
| | - Muneesh Tewari
- Division of Human Biology, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Michael O. Dorschner
- Dept. of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA
| | - R. Scott Hansen
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, WA
| | - Patrick A. Navas
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, WA
| | | | - Vishwanath R. Iyer
- Institute for Cellular and Molecular Biology, University of Texas, Austin, TX
| | - Jason D. Lieb
- Department of Biology, University of North Carolina, Chapel Hill, NC
| | - Shamil R. Sunyaev
- Dept. of Medicine, Division of Genetics, Brigham & Women’s Hospital and Harvard Medical School, Boston, MA
| | - Joshua M. Akey
- Department of Genome Sciences, University of Washington, Seattle, WA
| | - Peter J. Sabo
- Department of Genome Sciences, University of Washington, Seattle, WA
| | - Rajinder Kaul
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, WA
| | - Terrence S. Furey
- Department of Biology, University of North Carolina, Chapel Hill, NC
| | - Job Dekker
- Program in Gene Function, University of Massachusetts Medical School, Worcester, MA
| | | | - John A. Stamatoyannopoulos
- Department of Genome Sciences, University of Washington, Seattle, WA
- Department of Medicine, Division of Oncology, University of Washington, Seattle, WA
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13
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Neph S, Vierstra J, Stergachis AB, Reynolds AP, Haugen E, Vernot B, Thurman RE, Sandstrom R, Johnson AK, Maurano MT, Humbert R, Rynes E, Wang H, Vong S, Lee K, Bates D, Diegel M, Roach V, Dunn D, Neri J, Schafer A, Hansen RS, Kutyavin T, Giste E, Weaver M, Canfield T, Sabo P, Zhang M, Balasundaram G, Byron R, MacCoss MJ, Akey JM, Bender M, Groudine M, Kaul R, Stamatoyannopoulos JA. An expansive human regulatory lexicon encoded in transcription factor footprints. Nature 2012; 489:83-90. [PMID: 22955618 PMCID: PMC3736582 DOI: 10.1038/nature11212] [Citation(s) in RCA: 566] [Impact Index Per Article: 47.2] [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: 12/11/2011] [Accepted: 05/10/2012] [Indexed: 01/04/2023]
Abstract
Regulatory factor binding to genomic DNA protects the underlying sequence from cleavage by DNase I, leaving nucleotide-resolution footprints. Using genomic DNase I footprinting across 41 diverse cell and tissue types, we detected 45 million transcription factor occupancy events within regulatory regions, representing differential binding to 8.4 million distinct short sequence elements. Here we show that this small genomic sequence compartment, roughly twice the size of the exome, encodes an expansive repertoire of conserved recognition sequences for DNA-binding proteins that nearly doubles the size of the human cis-regulatory lexicon. We find that genetic variants affecting allelic chromatin states are concentrated in footprints, and that these elements are preferentially sheltered from DNA methylation. High-resolution DNase I cleavage patterns mirror nucleotide-level evolutionary conservation and track the crystallographic topography of protein-DNA interfaces, indicating that transcription factor structure has been evolutionarily imprinted on the human genome sequence. We identify a stereotyped 50-base-pair footprint that precisely defines the site of transcript origination within thousands of human promoters. Finally, we describe a large collection of novel regulatory factor recognition motifs that are highly conserved in both sequence and function, and exhibit cell-selective occupancy patterns that closely parallel major regulators of development, differentiation and pluripotency.
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Affiliation(s)
- Shane Neph
- Department of Genome Sciences, University of Washington, Seattle, WA 98195
| | - Jeff Vierstra
- Department of Genome Sciences, University of Washington, Seattle, WA 98195
| | | | - Alex P. Reynolds
- Department of Genome Sciences, University of Washington, Seattle, WA 98195
| | - Eric Haugen
- Department of Genome Sciences, University of Washington, Seattle, WA 98195
| | - Benjamin Vernot
- Department of Genome Sciences, University of Washington, Seattle, WA 98195
| | - Robert E. Thurman
- Department of Genome Sciences, University of Washington, Seattle, WA 98195
| | - Richard Sandstrom
- Department of Genome Sciences, University of Washington, Seattle, WA 98195
| | - Audra K. Johnson
- Department of Genome Sciences, University of Washington, Seattle, WA 98195
| | - Matthew T. Maurano
- Department of Genome Sciences, University of Washington, Seattle, WA 98195
| | - Richard Humbert
- Department of Genome Sciences, University of Washington, Seattle, WA 98195
| | - Eric Rynes
- Department of Genome Sciences, University of Washington, Seattle, WA 98195
| | - Hao Wang
- Department of Genome Sciences, University of Washington, Seattle, WA 98195
| | - Shinny Vong
- Department of Genome Sciences, University of Washington, Seattle, WA 98195
| | - Kristen Lee
- Department of Genome Sciences, University of Washington, Seattle, WA 98195
| | - Daniel Bates
- Department of Genome Sciences, University of Washington, Seattle, WA 98195
| | - Morgan Diegel
- Department of Genome Sciences, University of Washington, Seattle, WA 98195
| | - Vaughn Roach
- Department of Genome Sciences, University of Washington, Seattle, WA 98195
| | - Douglas Dunn
- Department of Genome Sciences, University of Washington, Seattle, WA 98195
| | - Jun Neri
- Department of Genome Sciences, University of Washington, Seattle, WA 98195
| | - Anthony Schafer
- Department of Genome Sciences, University of Washington, Seattle, WA 98195
| | - R. Scott Hansen
- Department of Genome Sciences, University of Washington, Seattle, WA 98195
- Division of Medical Genetics, Department of Medicine, University of Washington, Seattle, WA 98195
| | - Tanya Kutyavin
- Department of Genome Sciences, University of Washington, Seattle, WA 98195
| | - Erika Giste
- Department of Genome Sciences, University of Washington, Seattle, WA 98195
| | - Molly Weaver
- Department of Genome Sciences, University of Washington, Seattle, WA 98195
| | - Theresa Canfield
- Department of Genome Sciences, University of Washington, Seattle, WA 98195
| | - Peter Sabo
- Department of Genome Sciences, University of Washington, Seattle, WA 98195
| | - Miaohua Zhang
- Basic Sciences Division, Fred Hutchison Cancer Research Center, Seattle, WA 98109
| | | | - Rachel Byron
- Basic Sciences Division, Fred Hutchison Cancer Research Center, Seattle, WA 98109
| | - Michael J. MacCoss
- Department of Genome Sciences, University of Washington, Seattle, WA 98195
| | - Joshua M. Akey
- Department of Genome Sciences, University of Washington, Seattle, WA 98195
| | - Michael Bender
- Basic Sciences Division, Fred Hutchison Cancer Research Center, Seattle, WA 98109
| | - Mark Groudine
- Basic Sciences Division, Fred Hutchison Cancer Research Center, Seattle, WA 98109
| | - Rajinder Kaul
- Department of Genome Sciences, University of Washington, Seattle, WA 98195
- Division of Medical Genetics, Department of Medicine, University of Washington, Seattle, WA 98195
| | - John A. Stamatoyannopoulos
- Department of Genome Sciences, University of Washington, Seattle, WA 98195
- Division of Oncology, Deparment of Medicine, University of Washington, Seattle, WA 98195
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14
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Maurano MT, Humbert R, Rynes E, Thurman RE, Haugen E, Wang H, Reynolds AP, Sandstrom R, Qu H, Brody J, Shafer A, Neri F, Lee K, Kutyavin T, Stehling-Sun S, Johnson AK, Canfield TK, Giste E, Diegel M, Bates D, Hansen RS, Neph S, Sabo PJ, Heimfeld S, Raubitschek A, Ziegler S, Cotsapas C, Sotoodehnia N, Glass I, Sunyaev SR, Kaul R, Stamatoyannopoulos JA. Systematic localization of common disease-associated variation in regulatory DNA. Science 2012; 337:1190-5. [PMID: 22955828 DOI: 10.1126/science.1222794] [Citation(s) in RCA: 2409] [Impact Index Per Article: 200.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Genome-wide association studies have identified many noncoding variants associated with common diseases and traits. We show that these variants are concentrated in regulatory DNA marked by deoxyribonuclease I (DNase I) hypersensitive sites (DHSs). Eighty-eight percent of such DHSs are active during fetal development and are enriched in variants associated with gestational exposure-related phenotypes. We identified distant gene targets for hundreds of variant-containing DHSs that may explain phenotype associations. Disease-associated variants systematically perturb transcription factor recognition sequences, frequently alter allelic chromatin states, and form regulatory networks. We also demonstrated tissue-selective enrichment of more weakly disease-associated variants within DHSs and the de novo identification of pathogenic cell types for Crohn's disease, multiple sclerosis, and an electrocardiogram trait, without prior knowledge of physiological mechanisms. Our results suggest pervasive involvement of regulatory DNA variation in common human disease and provide pathogenic insights into diverse disorders.
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Affiliation(s)
- Matthew T Maurano
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
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15
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Coon ME, Diegel M, Leshinsky N, Klaus SJ. Selective pharmacologic inhibition of murine and human IL-12-dependent Th1 differentiation and IL-12 signaling. J Immunol 1999; 163:6567-74. [PMID: 10586050] [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] [Subscribe] [Scholar Register] [Indexed: 02/14/2023]
Abstract
We have previously shown that lisofylline (LSF) inhibits murine Th1-mediated disease in vivo by blocking IL-12-induced differentiation of Th1 cells. The cellular and molecular mechanisms underlying this inhibition were further explored by testing LSF in several IL-12-responsive model systems in vitro. IL-12-dependent Th1 differentiation was abrogated by LSF and yielded effector T cells that were deficient in proinflammatory cytokine secretion, including IFN-gamma, IL-2, and TNF-alpha. The diminished Th1 phenotype resulted from both a lower frequency of IL-12-derived Th1 clones and a reduced capacity of individual clones to secrete IFN-gamma due to lower levels of IFN-gamma mRNA. The arrest in Th1 development resulted from a blockade of IL-12 signaling that preceded the Th0 to Th1 transition. Thus, LSF blocked IL-12-enhanced IFN-gamma production in anti-CD3-stimulated T cells and prevented IL-12-mediated repression of the transcription factor GATA-3. Lisofylline also inhibited IL-12-induced increases in STAT4 tyrosine phosphorylation, but did not block TCR signaling or inhibit acquisition of IL-12 responsiveness. These findings were extended to show that LSF also inhibits IL-12-dependent responses in human T cells. LSF, which has one asymmetric chiral center, was selectively inhibitory for IL-12 signaling compared with its S-enantiomer (1501-S) and the oxidized side chain analog, pentoxifylline. The results suggest that LSF may be useful as a modulator of Th1-mediated disease in humans.
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Affiliation(s)
- M E Coon
- Immunology Program, Cell Therapeutics, Inc., Seattle, WA 98119, USA
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16
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Araneo BA, Dowell T, Diegel M, Daynes RA. Dihydrotestosterone exerts a depressive influence on the production of interleukin-4 (IL-4), IL-5, and gamma-interferon, but not IL-2 by activated murine T cells. Blood 1991; 78:688-99. [PMID: 1830499] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Abstract
The present study examined the effects of the androgen steroid, dihydrotestosterone (DHT), on murine T-cell production of a number of lymphokines. Direct exposure of murine T cells to DHT in vitro was found to reduce the amount of interleukin-4 (IL-4), IL-5, and gamma-interferon (gamma IFN) produced after activation with anti-CD3 without affecting the production of IL-2. Exposure of T cells to either androstenedione or testosterone (the metabolic precursors of DHT) affected no change in the biosynthesis of either of these lymphokines. We have determined that macrophages possess 5 alpha-reductase, and are thus competent to metabolize testosterone to DHT. This physicochemical information is complemented by a functional analysis of macrophage metabolism of testosterone. By incubating bone marrow macrophages with testosterone, before their use as accessory cells, the IL-4 and IL-5 producing potential of the activated T cells cocultured with them was depressed. That the observed effect was mediated by the conversion of testosterone to DHT was further corroborated by illustrating that the inhibition of IL-4 production was abrogated if 4MA, a specific 5 alpha-reductase inhibitor, was added to macrophage cultures containing testosterone. The biologic role of DHT in lymphokine and immune response regulation in vivo was addressed using several lines of investigation. First, transdermal delivery of DHT to groups of mice altered the capacity of T cells residing in the draining lymph nodes, only, to produce lymphokines. Second, treatment of either aged mice or the T cells isolated from them with a combination of dehydroepiandrosterone and DHT restored the capacity of their T cells to produce IL-2, IL-4, and gamma IFN to levels equivalent to that of younger mice. Finally, we observed a difference between males and females of a given age to produce IL-2, IL-4, and gamma IFN, with both IL-4 and gamma IFN production being elevated in females. Collectively, our findings indicate that DHT, similar to other steroid hormones, may play an important role in lymphokine regulation in vivo.
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Affiliation(s)
- B A Araneo
- Division of Cell Biology and Immunology, University of Utah School of Medicine, Salt Lake City
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17
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Zarling JM, Moran PA, Haffar O, Diegel M, Myers DE, Kuelbeck V, Ledbetter JA, Uckun FM. Inhibition of HIV-1 replication in seropositive patients' CD4+ T-cells by pokeweed antiviral protein-monoclonal antibody conjugates. Int J Immunopharmacol 1991; 13 Suppl 1:63-8. [PMID: 1688086 DOI: 10.1016/0192-0561(91)90126-r] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Pokeweed antiviral protein (PAP) inhibits HIV-1 replication in HIV-1 infected CD4+ cells and PAP targeted to CD4+T-cells by conjugation with monoclonal antibodies (mAb) against CD4 is approximately 1000 times more potent than non-conjugated PAP. Furthermore, PAP-antiCD4 inhibits HIV-1 production in seropositive patients' CD4+ T-cells activated with mAb to CD3 which was found to be the most potent means to activate HIV-1 production. These findings, together with previous observations that PAP-mAb conjugates have an in vivo plasma half-life of about 30 times that of non-conjugated PAP, suggest that PAP-antiCD4 may be a useful therapy in HIV-infected humans. Additionally, because PAP is known to have antiviral activity against several other human viruses, PAP-mAb conjugates may also have clinical potential for treating other viral diseases.
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Affiliation(s)
- J M Zarling
- Bristol-Myers Squibb Pharmaceutical Research Institute, Seattle, WA 98121
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