Identification of Functional Elements and Regulatory Circuits by Drosophila modENCODE
To gain insight into how genomic information is translated into cellular and developmental programs, the Drosophila model organism Encyclopedia of DNA Elements (modENCODE) project is comprehensively mapping transcripts, histone modifications, chromosomal proteins, transcription factors, replication...
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Published in | Science (American Association for the Advancement of Science) Vol. 330; no. 6012; pp. 1787 - 1797 |
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Main Authors | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Format | Journal Article Web Resource |
Language | English |
Published |
Washington, DC
American Association for the Advancement of Science
24.12.2010
The American Association for the Advancement of Science |
Subjects | |
Online Access | Get full text |
ISSN | 0036-8075 1095-9203 1095-9203 |
DOI | 10.1126/science.1198374 |
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Abstract | To gain insight into how genomic information is translated into cellular and developmental programs, the Drosophila model organism Encyclopedia of DNA Elements (modENCODE) project is comprehensively mapping transcripts, histone modifications, chromosomal proteins, transcription factors, replication proteins and intermediates, and nucleosome properties across a developmental time course and in multiple cell lines. We have generated more than 700 data sets and discovered protein-coding, noncoding, RNA regulatory, replication, and chromatin elements, more than tripling the annotated portion of the Drosophila genome. Correlated activity patterns of these elements reveal a functional regulatory network, which predicts putative new functions for genes, reveals stage- and tissue-specific regulators, and enables gene-expression prediction. Our results provide a foundation for directed experimental and computational studies in Drosophila and related species and also a model for systematic data integration toward comprehensive genomic and functional annotation. |
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AbstractList | For biologists, having a genome in hand is only the beginning--much more investigation is still needed to characterize how the genome is used to help to produce a functional organism (see the Perspective by Blaxter ). In this vein, Gerstein et al. (p. 1775) summarize for the Caenorhabditis elegans genome, and The modENCODE Consortium (p. 1787) summarize for the Drosophila melanogaster genome, full transcriptome analyses over developmental stages, genome-wide identification of transcription factor binding sites, and high-resolution maps of chromatin organization. Both studies identified regions of the nematode and fly genomes that show highly occupied targets (or HOT) regions where DNA was bound by more than 15 of the transcription factors analyzed and the expression of related genes were characterized. Overall, the studies provide insights into the organization, structure, and function of the two genomes and provide basic information needed to guide and correlate both focused and genome-wide studies. To gain insight into how genomic information is translated into cellular and developmental programs, the Drosophila model organism Encyclopedia of DNA Elements (modENCODE) project is comprehensively mapping transcripts, histone modifications, chromosomal proteins, transcription factors, replication proteins and intermediates, and nucleosome properties across a developmental time course and in multiple cell lines. We have generated more than 700 data sets and discovered protein-coding, noncoding, RNA regulatory, replication, and chromatin elements, more than tripling the annotated portion of the Drosophila genome. Correlated activity patterns of these elements reveal a functional regulatory network, which predicts putative new functions for genes, reveals stage- and tissue-specific regulators, and enables gene-expression prediction. Our results provide a foundation for directed experimental and computational studies in Drosophila and related species and also a model for systematic data integration toward comprehensive genomic and functional annotation. [PUBLICATION ABSTRACT] To gain insight into how genomic information is translated into cellular and developmental programs, the Drosophila model organism Encyclopedia of DNA Elements (modENCODE) project is comprehensively mapping transcripts, histone modifications, chromosomal proteins, transcription factors, replication proteins and intermediates, and nucleosome properties across a developmental time course and in multiple cell lines. We have generated more than 700 data sets and discovered protein-coding, noncoding, RNA regulatory, replication, and chromatin elements, more than tripling the annotated portion of the Drosophila genome. Correlated activity patterns of these elements reveal a functional regulatory network, which predicts putative new functions for genes, reveals stage- and tissue-specific regulators, and enables gene-expression prediction. Our results provide a foundation for directed experimental and computational studies in Drosophila and related species and also a model for systematic data integration toward comprehensive genomic and functional annotation. To gain insight into how genomic information is translated into cellular and developmental programs, the Drosophila model organism Encyclopedia of DNA Elements (modENCODE) project is comprehensively mapping transcripts, histone modifications, chromosomal proteins, transcription factors, replication proteins and intermediates, and nucleosome properties across a developmental time course and in multiple cell lines. We have generated more than 700 data sets and discovered protein-coding, noncoding, RNA regulatory, replication, and chromatin elements, more than tripling the annotated portion of the Drosophilo genome. Correlated activity patterns of these elements reveal a functional regulatory network, which predicts putative new functions for genes, reveals stage-and tissue-specific regulators, and enables gene-expression prediction. Our results provide a foundation for directed experimental and computational studies in Drosophila and related species and also a model for systematic data integration toward comprehensive genomic and functional annotation. To gain insight into how genomic information is translated into cellular and developmental programs, the Drosophila model organism Encyclopedia of DNA Elements (modENCODE) project is comprehensively mapping transcripts, histone modifications, chromosomal proteins, transcription factors, replication proteins and intermediates, and nucleosome properties across a developmental time course and in multiple cell lines. We have generated more than 700 data sets and discovered protein-coding, noncoding, RNA regulatory, replication, and chromatin elements, more than tripling the annotated portion of the Drosophila genome. Correlated activity patterns of these elements reveal a functional regulatory network, which predicts putative new functions for genes, reveals stage- and tissue-specific regulators, and enables gene-expression prediction. Our results provide a foundation for directed experimental and computational studies in Drosophila and related species and also a model for systematic data integration toward comprehensive genomic and functional annotation.To gain insight into how genomic information is translated into cellular and developmental programs, the Drosophila model organism Encyclopedia of DNA Elements (modENCODE) project is comprehensively mapping transcripts, histone modifications, chromosomal proteins, transcription factors, replication proteins and intermediates, and nucleosome properties across a developmental time course and in multiple cell lines. We have generated more than 700 data sets and discovered protein-coding, noncoding, RNA regulatory, replication, and chromatin elements, more than tripling the annotated portion of the Drosophila genome. Correlated activity patterns of these elements reveal a functional regulatory network, which predicts putative new functions for genes, reveals stage- and tissue-specific regulators, and enables gene-expression prediction. Our results provide a foundation for directed experimental and computational studies in Drosophila and related species and also a model for systematic data integration toward comprehensive genomic and functional annotation. For biologists, having a genome in hand is only the beginning—much more investigation is still needed to characterize how the genome is used to help to produce a functional organism (see the Perspective by Blaxter ). In this vein, Gerstein et al. (p. 1775 ) summarize for the Caenorhabditis elegans genome, and The modENCODE Consortium (p. 1787 ) summarize for the Drosophila melanogaster genome, full transcriptome analyses over developmental stages, genome-wide identification of transcription factor binding sites, and high-resolution maps of chromatin organization. Both studies identified regions of the nematode and fly genomes that show highly occupied targets (or HOT) regions where DNA was bound by more than 15 of the transcription factors analyzed and the expression of related genes were characterized. Overall, the studies provide insights into the organization, structure, and function of the two genomes and provide basic information needed to guide and correlate both focused and genome-wide studies. The Drosophila modENCODE project demonstrates the functional regulatory network of flies. To gain insight into how genomic information is translated into cellular and developmental programs, the Drosophila model organism Encyclopedia of DNA Elements (modENCODE) project is comprehensively mapping transcripts, histone modifications, chromosomal proteins, transcription factors, replication proteins and intermediates, and nucleosome properties across a developmental time course and in multiple cell lines. We have generated more than 700 data sets and discovered protein-coding, noncoding, RNA regulatory, replication, and chromatin elements, more than tripling the annotated portion of the Drosophila genome. Correlated activity patterns of these elements reveal a functional regulatory network, which predicts putative new functions for genes, reveals stage- and tissue-specific regulators, and enables gene-expression prediction. Our results provide a foundation for directed experimental and computational studies in Drosophila and related species and also a model for systematic data integration toward comprehensive genomic and functional annotation. To gain insight into how genomic information is translated into cellular and developmental programs, the Drosophila model organism Encyclopedia of DNA Elements (modENCODE) project is comprehensively mapping transcripts, histone modifications, chromosomal proteins, transcription factors, replication proteins and intermediates, and nucleosome properties across a developmental time course and in multiple cell lines. We have generated more than 700 data sets and discovered protein-coding, noncoding, RNA regulatory, replication, and chromatin elements, more than tripling the annotated portion of the Drosophila genome. Correlated activity patterns of these elements reveal a functional regulatory network, which predicts putative new functions for genes, reveals stage- and tissue-specific regulators, and enables gene-expression prediction. Our results provide a foundation for directed experimental and computational studies in Drosophila and related species and also a model for systematic data integration toward comprehensive genomic and functional annotation. |
Author | Washington, Nicole L MacAlpine, David M Okamura, Katsutomo White, Kevin P Samsonova, Anastasia Grossman, Robert Feng, Xin Yang, Li Gingeras, Thomas R Sher, Noa Henikoff, Steven Lai, Eric C Brown, Christopher D Micklem, Gos Riddle, Nicole C Eaton, Matthew L Henikoff, Jorja G Schwartz, Yuri B Robine, Nicolas Dai, Qi Bristow, Christopher A Kent, William Sandler, Jeremy E Minoda, Aki Gorchakov, Andrey A Marbach, Daniel Powell, Sara K Spokony, Rebecca Stein, Lincoln D Sturgill, David Di Stefano, Luisa Malone, John Berger, Bonnie Sealfon, Rachel Li, Renhua Lowdon, Rebecca Karpen, Gary H Gu, Tingting Artieri, Carlo Perry, Marc Ay, Ferhat Duff, Michael O Washietl, Stefan Ahmad, Kami Ren, Bing Oliver, Brian Arshinoff, Bradley I Meyer, Patrick E Booth, Benjamin W Carlson, Joseph W Lin, Michael F Brenner, Steven E Roy, Sushmita Candeias, Rogerio Davis, Carrie A Brent, Michael R Ernst, Jason Kharchenko, Peter V Lewis, Suzanna Russell, Steven Tolstorukov, Michael Y MacAlpine, Heather K Kuroda, Mitzi I Guyer, Mark Park, Peter J Perrimon, Norbert Hoskins, Roger A Go |
AuthorAffiliation | Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA |
AuthorAffiliation_xml | – name: Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA – name: 10 Department of Genetics and Cambridge Systems Biology Centre, University of Cambridge, Downing Street, Cambridge, CB2 3EH, UK – name: 17 Division of Extramural Research, National Human Genome Research Institute, NIH, 5635 Fishers Lane, Suite 4076, Bethesda, MD 20892–9305, USA – name: 32 Department of Plant and Microbial Biology, University of California, Berkeley, CA 94720, USA – name: 21 Department of Biology, Indiana University, 1001 East 3rd Street, Bloomington, IN 47405–7005, USA – name: 27 Department of Molecular Biology and Biochemistry, Rutgers University, Piscataway, NJ 08854, USA – name: 19 Department of Genetics and Drosophila RNAi Screening Center, Harvard Medical School, 77 Avenue Louis Pasteur, Boston, MA 02115, USA – name: 6 Department of Genome Dynamics, Lawrence Berkeley National Laboratory (LBNL), 1 Cyclotron Road, Berkeley, CA 94720 USA – name: 16 Affymetrix, Santa Clara, CA 95051, USA – name: 12 Section of Developmental Genomics, Laboratory of Cellular and Developmental Biology, National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), National Institutes of Health (NIH), Bethesda, MD 20892, USA – name: 14 Department of Genetics and Developmental Biology, University of Connecticut Stem Cell Institute, 263 Farmington, CT 06030–6403, USA – name: 28 Department of Molecular and Cell Biology, University of California, Berkeley, CA 94720, USA – name: 7 Department of Molecular Genetics, University of Toronto, 27 King’s College Circle, Toronto, Ontario M5S 1A1, Canada – name: 18 Ontario Institute for Cancer Research, 101 College Street, Suite 800, Toronto, Ontario M5G 0A3, Canada – name: 2 Broad Institute of MIT and Harvard, Cambridge, MA 02140, USA – name: 3 Center for Biomedical Informatics, Harvard Medical School, 10 Shattuck Street, Boston, MA 02115, USA – name: 25 Basic Sciences Division, Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue North, Seattle, WA 98109, USA – name: 4 Institute for Genomics and Systems Biology, Department of Human Genetics, The University of Chicago, 900 East 57th Street, Chicago, IL 60637, USA – name: 1 Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA – name: 24 Center for Genomics and Bioinformatics, Indiana University, 1001 East 3rd Street, Bloomington, IN 47405–7005, USA – name: 11 Department of Medicine and Department of Genetics, Brigham and Women’s Hospital, Harvard Medical School, 77 Avenue Louis Pasteur, Boston, MA 02115, USA – name: 20 Center for Genome Sciences, Washington University, 4444 Forest Park Boulevard, Saint Louis, MO 63108, USA – name: 9 Genome Sciences Division, LBNL, 1 Cyclotron Road, Berkeley, CA 94720, USA – name: 15 Department of Biology CB-1137, Washington University, Saint Louis, MO 63130, USA – name: 23 Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences and University Medical Center Utrecht, Utrecht, Netherlands – name: 26 Division of Biological Sciences, Section of Cell and Developmental Biology, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA – name: 5 Department of Pharmacology and Cancer Biology, Duke University Medical Center, Durham, NC 27710, USA – name: 30 Machine Learning Group, Université Libre de Bruxelles, CP212, Brussels 1050, Belgium – name: 31 Massachusetts General Hospital Cancer Center, Harvard Medical School, Charlestown, MA 02129, USA – name: 33 Computer and Information Science and Engineering, University of Florida, Gainesville, FL 32611, USA – name: 29 Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, 240 Longwood Avenue, Boston, MA 02115, USA – name: 8 Sloan-Kettering Institute, 1275 York Avenue, Box 252, New York, NY 10065, USA – name: 13 Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA – name: 22 White-head Institute, Cambridge, MA 02142, USA – name: 34 Center for Biomolecular Science and Engineering, School of Engineering and Howard Hughes Medical Institute (HHMI), University of California Santa Cruz, Santa Cruz, CA 95064, USA – name: 35 Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY 11794, USA |
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BackLink | http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=23703293$$DView record in Pascal Francis https://www.ncbi.nlm.nih.gov/pubmed/21177974$$D View this record in MEDLINE/PubMed https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-46221$$DView record from Swedish Publication Index |
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Contributor | Wang, Huaien White, Kevin P Booth, Benjamin Lin, Wei Bristow, Christopher A Sandler, Jeremy E Minoda, Aki Jung, Youngsook L Marbach, Daniel Spokony, Rebecca Ghosh, Srinka Di Stefano, Luisa Sealfon, Rachel Samsonova, Anastasia A Gu, Tingting Dobin, Alex Carlson, Joseph W Lin, Michael F Brenner, Steven E Linder-Basso, Daniela Candeias, Rogerio Davis, Carrie A Brent, Michael R Ernst, Jason Kharchenko, Peter V Fagegaltier, Delphine Zhang, Dayu Meyer, Folker Russell, Steven Elgin, Sarah C R Kuroda, Mitzi I Perrimon, Norbert Miller, David Kaufman, Thomas C Posakony, James W Dudoit, Sandrine Heinz, Elizabeth Kheradpour, Pouya Domanus, Marc H Suchy, Sarah Ma, Lijia Auburn, Richard Jha, Sonali Bishop, Eric P Yu, Charles Dumais, Jacqueline Graveley, Brenton R Hansen, Kasper D Li, Zirong Andrews, Justen Miller, Steven W Langton, Laura Comstock, Charles L G Hanley, David Yang, Li Gingeras, Thomas R Brown, Christopher D Riddle, Nicole C Schwartz, Yuri B Acevedo, David Gorchakov, Andrey A Bellen, Hugo J Morrison, Carolyn A Shah, Parantu K Zaleski, Chris Scheftner |
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David – sequence: 92 givenname: Elizabeth surname: Heinz fullname: Heinz, Elizabeth – sequence: 93 givenname: Zirong surname: Li fullname: Li, Zirong – sequence: 94 givenname: Folker surname: Meyer fullname: Meyer, Folker – sequence: 95 givenname: Steven W surname: Miller fullname: Miller, Steven W – sequence: 96 givenname: Carolyn A surname: Morrison fullname: Morrison, Carolyn A – sequence: 97 givenname: Douglas A surname: Scheftner fullname: Scheftner, Douglas A – sequence: 98 givenname: Lionel surname: Senderowicz fullname: Senderowicz, Lionel – sequence: 99 givenname: Parantu K surname: Shah fullname: Shah, Parantu K – sequence: 100 givenname: Sarah surname: Suchy fullname: Suchy, Sarah |
Copyright | Copyright © 2010 American Association for the Advancement of Science 2014 INIST-CNRS Copyright © 2010, American Association for the Advancement of Science Copyright 2010 by the American Association for the Advancement of Science; all rights reserved. 2010 |
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Keywords | Chromatin Insecta Drosophila Genomics Information Drosophilidae Coding Arthropoda Genetics Replication Regulatory sequence Invertebrata Diptera |
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Snippet | To gain insight into how genomic information is translated into cellular and developmental programs, the Drosophila model organism Encyclopedia of DNA Elements... For biologists, having a genome in hand is only the beginning—much more investigation is still needed to characterize how the genome is used to help to produce... For biologists, having a genome in hand is only the beginning--much more investigation is still needed to characterize how the genome is used to help to... To gain insight into how genomic information is translated into cellular and developmental programs, the Drosophila model organism Encyclopedia of DNA Elements... |
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SubjectTerms | Animals Binding Sites Biochemistry, biophysics & molecular biology Biochimie, biophysique & biologie moléculaire Biological and medical sciences Cellular Chromatin Chromatin - genetics Chromatin - metabolism Chromatin/genetics/metabolism Classical genetics, quantitative genetics, hybrids Coding Computational Biology - methods data collection Datasets Deoxyribonucleic acid Developmental Programs Developmental stages DNA Drosophila Drosophila melanogaster - genetics Drosophila melanogaster - growth & development Drosophila melanogaster - metabolism Drosophila melanogaster/genetics/growth & development/metabolism Drosophila Proteins - genetics Drosophila Proteins - metabolism Drosophila Proteins/genetics/metabolism Epigenesis, Genetic Fundamental and applied biological sciences. Psychology gene expression Gene Expression Regulation Gene Regulatory Networks Genes Genes, Insect Genetics of eukaryotes. Biological and molecular evolution Genome, Insect Genomes Genomics Genomics - methods Histones Histones - metabolism Invertebrata Life sciences Mathematical models MicroRNA Molecular Sequence Annotation Networks Nucleosomes Nucleosomes - genetics Nucleosomes - metabolism Nucleosomes/genetics/metabolism prediction Promoter Regions, Genetic Proteins Replication Ribonucleic acids RNA RNA, Small Untranslated - genetics RNA, Small Untranslated - metabolism RNA, Small Untranslated/genetics/metabolism Sciences du vivant transcription (genetics) transcription factors Transcription Factors - metabolism Transcription, Genetic translation (genetics) |
Title | Identification of Functional Elements and Regulatory Circuits by Drosophila modENCODE |
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