Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/144057
Full metadata record
DC FieldValueLanguage
dc.contributor.authorMartí Renom, Marc A.-
dc.contributor.authorAlmouzni, Genevieve-
dc.contributor.authorBickmore, Wendy A.-
dc.contributor.authorBystricky, Kerstin-
dc.contributor.authorCavalli, Giacomo-
dc.contributor.authorFraser, Peter-
dc.contributor.authorGasser, Susan M.-
dc.contributor.authorGiorgetti, Luca-
dc.contributor.authorHeard, Edith-
dc.contributor.authorNicodemi, Mario-
dc.contributor.authorNollmann, Marcelo-
dc.contributor.authorOrozco López, Modesto-
dc.contributor.authorPombo, Ana-
dc.contributor.authorTorres Padilla, Maria Elena-
dc.date.accessioned2019-11-06T10:23:48Z-
dc.date.available2019-11-06T10:23:48Z-
dc.date.issued2018-09-27-
dc.identifier.issn1061-4036-
dc.identifier.urihttp://hdl.handle.net/2445/144057-
dc.description.abstractDue to recent advances in experimental and theoretical approaches, the dynamic three-dimensional organization (3D) of the nucleus has become a very active area of research in life sciences. We now understand that the linear genome is folded in ways that may modulate how genes are expressed during the basic functioning of cells. Importantly, it is now possible to build 3D models of how the genome folds within the nucleus and changes over time (4D). Because genome folding influences its function, this opens exciting new possibilities to broaden our understanding of the mechanisms that determine cell fate. However, the rapid evolution of methods and the increasing complexity of data can result in ambiguity and reproducibility challenges, which may hamper the progress of this field. Here, we describe such challenges ahead and provide guidelines to think about strategies for shared standardized validation of experimental 4D nucleome data sets and models.-
dc.format.extent7 p.-
dc.format.mimetypeapplication/pdf-
dc.language.isoeng-
dc.publisherNature Publishing Group-
dc.relation.isformatofVersió postprint del document publicat a: https://doi.org/10.1038/s41588-018-0236-3-
dc.relation.ispartofNature Genetics, 2018, vol. 50, p. 1352-1358-
dc.relation.urihttps://doi.org/10.1038/s41588-018-0236-3-
dc.rights(c) Martí Renom, Marc A. et al., 2018-
dc.sourceArticles publicats en revistes (Bioquímica i Biomedicina Molecular)-
dc.subject.classificationGenòmica-
dc.subject.classificationNuclis cel·lulars-
dc.subject.otherGenomics-
dc.subject.otherCell nuclei-
dc.titleChallenges and guidelines toward 4D nucleome data and model standards-
dc.typeinfo:eu-repo/semantics/article-
dc.typeinfo:eu-repo/semantics/acceptedVersion-
dc.identifier.idgrec682924-
dc.date.updated2019-11-06T10:23:48Z-
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/740073/EU//CLIM4CROP-
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/676556/EU//MuG-
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess-
Appears in Collections:Articles publicats en revistes (Bioquímica i Biomedicina Molecular)
Articles publicats en revistes (Institut de Recerca Biomèdica (IRB Barcelona))

Files in This Item:
File Description SizeFormat 
682924.pdf1.36 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.