Identification of Functional Elements and Regulatory Circuits by Drosophila modENCODE
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Berger_Identification of functional.pdf
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Author(s)
Kheradpour, Pouya
Bristow, Christopher A.
Mag Washietl, Stefan
Ay, Ferhat
Jungreis, Irwin
Marbach, Daniel
Sealfon, Rachel Sima
Will, Sebastian
Berger, Bonnie
Kellis, Manolis
Date Issued
December 2010
Journal
Science
Publisher
American Association for the Advancement of Science (AAAS)
Citation
Roy, S., J. Ernst, P. V. Kharchenko, P. Kheradpour, N. Negre, M. L. Eaton, J. M. Landolin, et al. “Identification of Functional Elements and Regulatory Circuits by Drosophila modENCODE.” Science 330, no. 6012 (December 23, 2010): 1787-1797.
Version
Author's final manuscript
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.
Description
Author manuscript; available in PMC 2011 October 13.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Biology
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Department of Mathematics
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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
https://doi.org/10.1126/science.1198374
