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dc.creatorSoler Oliva, María Eugeniaes
dc.creatorGuerrero Martínez, José A.es
dc.creatorBachetti, Valentinaes
dc.creatorReyes, José C.es
dc.date.accessioned2018-12-19T12:36:41Z
dc.date.available2018-12-19T12:36:41Z
dc.date.issued2017
dc.identifier.citationSoler Oliva, M.E., Guerrero Martínez, J.A., Bachetti, V. y Reyes, J.C. (2017). Analysis of the relationship between coexpression domains and chromatin 3D organization. PLoS Computational Biology, 13, 1-25.
dc.identifier.issn1553-734X (impreso)es
dc.identifier.issn1553-7358 (electrónico)es
dc.identifier.urihttps://hdl.handle.net/11441/81123
dc.description.abstractGene order is not random in eukaryotic chromosomes, and co-regulated genes tend to be clustered. The mechanisms that determine co-regulation of large regions of the genome and its connection with chromatin three-dimensional (3D) organization are still unclear however. Here we have adapted a recently described method for identifying chromatin topologically associating domains (TADs) to identify coexpression domains (which we term ªCODsº). Using human normal breast and breast cancer RNA-seq data, we have identified approximately 500 CODs. CODs in the normal and breast cancer genomes share similar characteristics but differ in their gene composition. COD genes have a greater tendency to be coexpressed with genes that reside in other CODs than with non-COD genes. Such inter-COD coexpression is maintained over large chromosomal distances in the normal genome but is partially lost in the cancer genome. Analyzing the relationship between CODs and chromatin 3D organization using Hi-C contact data, we find that CODs do not correspond to TADs. In fact, intra-TAD gene coexpression is the same as random for most chromosomes. However, the contact profile is similar between gene pairs that reside either in the same COD or in coexpressed CODs. These data indicate that co-regulated genes in the genome present similar patterns of contacts irrespective of the frequency of physical chromatin contacts between them.es
dc.formatapplication/pdfes
dc.language.isoenges
dc.publisherPublic Library of Sciencees
dc.relation.ispartofPLoS Computational Biology, 13, 1-25.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleAnalysis of the relationship between coexpression domains and chromatin 3D organizationes
dc.typeinfo:eu-repo/semantics/articlees
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Genética
dc.relation.publisherversionhttps://doi.org/10.1371/journal.pcbi.1005708es
dc.identifier.doi10.1371/journal.pcbi.1005708es
idus.format.extent25 p.es
dc.journaltitlePLoS Computational Biologyes
dc.publication.volumen13es
dc.publication.initialPage1es
dc.publication.endPage25es

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