Challenges and guidelines toward 4D nucleome data and model standards

Due 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 th...

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Detalhes bibliográficos
Autores: Martí Renom, Marc A., Almouzni, Genevieve, Bickmore, Wendy A., Bystricky, Kerstin, Cavalli, Giacomo, Fraser, Peter, Gasser, Susan M., Giorgetti, Luca, Heard, Edith, Nicodemi, Mario, Nollmann, Marcelo, Orozco López, Modesto, Pombo, Ana, Torres Padilla, Maria Elena
Formato: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2018
País:España
Recursos:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:2445/144057
Acesso em linha:https://hdl.handle.net/2445/144057
Access Level:acceso abierto
Palavra-chave:Genòmica
Nuclis cel·lulars
Genomics
Cell nuclei
Descrição
Resumo:Due 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.