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The 4D nucleome project

dc.contributor.authorDekker, Job
dc.contributor.authorBelmont, Andrew S.
dc.contributor.authorGuttman, Mitchell
dc.contributor.authorLeshyk, Victor O.
dc.contributor.authorLis, John T.
dc.contributor.authorLomvardas, Stavros
dc.contributor.authorMirny, Leonid A.
dc.contributor.authorO'Shea, Clodagh C.
dc.contributor.authorPark, Peter J.
dc.contributor.authorRen, Bing
dc.contributor.authorRitland Politz, Joan C.
dc.contributor.authorShendure, Jay
dc.contributor.authorZhong, Sheng
dc.contributor.author4D Nucleome Network
dc.contributor.authorParsi, Krishna M.
dc.contributor.authorMaehr, Rene
dc.contributor.authorSontheimer, Erik J.
dc.contributor.authorGrunwald, David
dc.contributor.authorKaufman, Paul D.
dc.contributor.authorZhu, Lihua (Julie)
dc.date2022-08-11T08:10:59.000
dc.date.accessioned2022-08-23T17:27:21Z
dc.date.available2022-08-23T17:27:21Z
dc.date.issued2017-09-13
dc.date.submitted2017-11-30
dc.identifier.citation<p>Dekker J, Belmont AS, Guttman M, Leshyk VO, Lis JT, Lomvardas S, Mirny LA, O'Shea CC, Park PJ, Ren B, Politz JCR, Shendure J, Zhong S; 4D Nucleome Network. The 4D nucleome project. Nature. 2017 Sep 13;549(7671):219-226. doi: 10.1038/nature23884. Erratum in: Nature. 2017 Nov 22;: PMID: 28905911; PMCID: PMC5617335. <a href="https://doi.org/10.1038/nature23884">Link to article on publisher's site</a></p>
dc.identifier.issn0028-0836 (Linking)
dc.identifier.doi10.1038/nature23884
dc.identifier.pmid28905911
dc.identifier.urihttp://hdl.handle.net/20.500.14038/49841
dc.description<p>Members of the 4D Nucleome Network from UMass Medical School who collaborated on this project include Krishna M. Parsi, Rene Maehr, Erik J. Sontheimer, David Grunwald, Paul D. Kaufman, and Lihua (Julie) Zhu.</p> <p>This article is based on a previously available preprint on <a href="https://doi.org/10.1101/103499" target="_blank" title="view preprint in bioRxiv">bioRxiv</a> that is also available in <a href="http://escholarship.umassmed.edu/faculty_pubs/1560" target="_blank" title="view preprint in eScholarship">eScholarship@UMMS</a>.</p>
dc.description.abstractThe 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.
dc.language.isoen_US
dc.relation<p><a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&list_uids=28905911&dopt=Abstract">Link to Article in PubMed</a></p>
dc.relation.urlhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5617335/
dc.subjectEpigenomics
dc.subjectGene regulation
dc.subjectBiophysics
dc.subjectComputational Biology
dc.subjectGenomics
dc.subjectStructural Biology
dc.subjectSystems Biology
dc.titleThe 4D nucleome project
dc.typeJournal Article
dc.source.journaltitleNature
dc.source.volume549
dc.source.issue7671
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/sysbio_pubs/115
dc.identifier.contextkey11176470
html.description.abstract<p>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.</p>
dc.identifier.submissionpathsysbio_pubs/115
dc.contributor.departmentDepartment of Molecular, Cell and Cancer Biology
dc.contributor.departmentRNA Therapeutics Institute
dc.contributor.departmentProgram in Molecular Medicine
dc.contributor.departmentDepartment of Biochemistry and Molecular Pharmacology
dc.contributor.departmentProgram in Systems Biology
dc.source.pages219-226


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