The 4D nucleome project
Job Dekker (),
Andrew S. Belmont,
Mitchell Guttman,
Victor O. Leshyk,
John T. Lis,
Stavros Lomvardas,
Leonid A. Mirny,
Clodagh C. O’Shea,
Peter J. Park,
Bing Ren,
Joan C. Ritland Politz,
Jay Shendure and
Sheng Zhong
Additional contact information
Job Dekker: Program in Systems Biology, University of Massachusetts Medical School, Howard Hughes Medical Institute
Andrew S. Belmont: University of Illinois
Mitchell Guttman: California Institute of Technology
Victor O. Leshyk: University of California San Diego
John T. Lis: Cornell University
Stavros Lomvardas: Mortimer B. Zuckerman Mind Brain and Behavior Institute, Columbia University
Leonid A. Mirny: Institute for Medical Engineering and Science, Massachusetts Institute of Technology
Clodagh C. O’Shea: Molecular and Cell Biology Laboratory, Salk Institute for Biological Studies
Peter J. Park: Harvard Medical School
Bing Ren: Ludwig Institute for Cancer Research, Institute of Genomic Medicine, Moores Cancer Center, University of California San Diego
Joan C. Ritland Politz: Basic Sciences, Fred Hutchinson Cancer Research Center
Jay Shendure: University of Washington, Howard Hughes Medical Institute
Sheng Zhong: University of California San Diego
Nature, 2017, vol. 549, issue 7671, 219-226
Abstract:
Abstract The 4D Nucleome Network aims to develop and apply approaches to map the structure and dynamics of the human and mouse genomes in space and time with the goal of gaining deeper mechanistic insights into how the nucleus is organized and functions. The project will develop and benchmark experimental and computational approaches for measuring genome conformation and nuclear organization, and investigate how these contribute to gene regulation and other genome functions. Validated experimental technologies will be combined with biophysical approaches to generate quantitative models of spatial genome organization in different biological states, both in cell populations and in single cells.
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:nat:nature:v:549:y:2017:i:7671:d:10.1038_nature23884
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DOI: 10.1038/nature23884
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