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Predicting three-dimensional genome organization with chromatin states.
Qi, Yifeng; Zhang, Bin.
Afiliação
  • Qi Y; Departments of Chemistry, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America.
  • Zhang B; Departments of Chemistry, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America.
PLoS Comput Biol ; 15(6): e1007024, 2019 06.
Article em En | MEDLINE | ID: mdl-31181064
ABSTRACT
We introduce a computational model to simulate chromatin structure and dynamics. Starting from one-dimensional genomics and epigenomics data that are available for hundreds of cell types, this model enables de novo prediction of chromatin structures at five-kilo-base resolution. Simulated chromatin structures recapitulate known features of genome organization, including the formation of chromatin loops, topologically associating domains (TADs) and compartments, and are in quantitative agreement with chromosome conformation capture experiments and super-resolution microscopy measurements. Detailed characterization of the predicted structural ensemble reveals the dynamical flexibility of chromatin loops and the presence of cross-talk among neighboring TADs. Analysis of the model's energy function uncovers distinct mechanisms for chromatin folding at various length scales and suggests a need to go beyond simple A/B compartment types to predict specific contacts between regulatory elements using polymer simulations.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Cromatina / Modelos Moleculares / Genoma Humano / Biologia Computacional Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Cromatina / Modelos Moleculares / Genoma Humano / Biologia Computacional Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article