Single-cell absolute contact probability detection reveals chromosomes are organized by multiple low-frequency yet specific interactions
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- dc.contributor.author Cattoni, Diego Ignacioca
- dc.contributor.author Cardozo Gizzi, Andrés M.ca
- dc.contributor.author Georgieva, Mariyaca
- dc.contributor.author Di Stefano, Marcoca
- dc.contributor.author Valeri, Alessandroca
- dc.contributor.author Chamousset, Delphineca
- dc.contributor.author Houbron, Christopheca
- dc.contributor.author Déjardin, Stéphanieca
- dc.contributor.author Fiche, Jean Bernardca
- dc.contributor.author González, Inma Royoca
- dc.contributor.author Chang, Jia-Ming, 1978-ca
- dc.contributor.author Sexton, Tomca
- dc.contributor.author Martí Renom, Marc A.ca
- dc.contributor.author Bantignies, Frédéricca
- dc.contributor.author Cavalli, Giacomoca
- dc.contributor.author Nollmann, Marceloca
- dc.date.accessioned 2018-06-25T11:25:30Z
- dc.date.available 2018-06-25T11:25:30Z
- dc.date.issued 2017
- dc.description.abstract At the kilo- to megabase pair scales, eukaryotic genomes are partitioned into self-interacting modules or topologically associated domains (TADs) that associate to form nuclear compartments. Here, we combine high-content super-resolution microscopies with state-of-the-art DNA-labeling methods to reveal the variability in the multiscale organization of the Drosophila genome. We find that association frequencies within TADs and between TAD borders are below ~10%, independently of TAD size, epigenetic state, or cell type. Critically, despite this large heterogeneity, we are able to visualize nanometer-sized epigenetic domains at the single-cell level. In addition, absolute contact frequencies within and between TADs are to a large extent defined by genomic distance, higher-order chromosome architecture, and epigenetic identity. We propose that TADs and compartments are organized by multiple, small-frequency, yet specific interactions that are regulated by epigenetics and transcriptional state.
- dc.description.sponsorship This research was supported by funding from the European Research Council under the 7th Framework Program (FP7/2010-2015, ERC grant agreement 260787 to M.N. and FP7/2007-2013, and ERC grant agreement 609989 to M.A.M.-R.). M.A.M.-R. and G.C. acknowledge support from the European Union's Horizon 2020 research and innovation program under grant agreement 676556. This work has also benefited from support by the Labex EpiGenMed, an «Investments for the future» program, reference ANR-10-LABX-12-01, the Spanish Ministry of Economy and Competitiveness (BFU2013-47736-P to M.A.M.-R.), and from “Centro de Excelencia Severo Ochoa 2013-2017”, SEV-2012-0208 to the CRG. 3D-SIM experiments were performed at Montpellier Resource Imaging. We acknowledge the France-BioImaging infrastructure supported by the French National Research Agency (ANR-10-INBS-04, «Investments for the future»).
- dc.format.mimetype application/pdf
- dc.identifier.citation Cattoni DI, Cardozo Gizzi AM, Georgieva M, Di Stefano M, Valeri A, Chamousset D et al. Single-cell absolute contact probability detection reveals chromosomes are organized by multiple low-frequency yet specific interactions. Nat Commun. 2017 Nov 24;8(1):1753. DOI: 10.1038/s41467-017-01962-x
- dc.identifier.doi http://dx.doi.org/10.1038/s41467-017-01962-x
- dc.identifier.issn 2041-1723
- dc.identifier.uri http://hdl.handle.net/10230/34963
- dc.language.iso eng
- dc.publisher Nature Publishing Groupca
- dc.relation.ispartof Nature Communications. 2017 Nov 24;8(1):1753
- dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/260787
- dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/609989
- dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/676556
- dc.relation.projectID info:eu-repo/grantAgreement/ES/1PE/BFU2013-47736-P
- dc.rights © The Author(s) 2017. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
- dc.rights.accessRights info:eu-repo/semantics/openAccess
- dc.rights.uri http://creativecommons.org/licenses/by/4.0/
- dc.subject.keyword Computational biology and bioinformatics
- dc.subject.keyword Epigenomics
- dc.subject.keyword Nanoscale biophysics
- dc.subject.keyword Super-resolution microscopy
- dc.title Single-cell absolute contact probability detection reveals chromosomes are organized by multiple low-frequency yet specific interactionsca
- dc.type info:eu-repo/semantics/article
- dc.type.version info:eu-repo/semantics/publishedVersion