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Predicting three-dimensional genome organization with chromatin states

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...

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Detalles Bibliográficos
Autores principales: Qi, Yifeng, Zhang, Bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6586364/
https://www.ncbi.nlm.nih.gov/pubmed/31181064
http://dx.doi.org/10.1371/journal.pcbi.1007024
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author Qi, Yifeng
Zhang, Bin
author_facet Qi, Yifeng
Zhang, Bin
author_sort Qi, Yifeng
collection PubMed
description 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.
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spelling pubmed-65863642019-06-28 Predicting three-dimensional genome organization with chromatin states Qi, Yifeng Zhang, Bin PLoS Comput Biol Research Article 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. Public Library of Science 2019-06-10 /pmc/articles/PMC6586364/ /pubmed/31181064 http://dx.doi.org/10.1371/journal.pcbi.1007024 Text en © 2019 Qi, Zhang http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Qi, Yifeng
Zhang, Bin
Predicting three-dimensional genome organization with chromatin states
title Predicting three-dimensional genome organization with chromatin states
title_full Predicting three-dimensional genome organization with chromatin states
title_fullStr Predicting three-dimensional genome organization with chromatin states
title_full_unstemmed Predicting three-dimensional genome organization with chromatin states
title_short Predicting three-dimensional genome organization with chromatin states
title_sort predicting three-dimensional genome organization with chromatin states
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6586364/
https://www.ncbi.nlm.nih.gov/pubmed/31181064
http://dx.doi.org/10.1371/journal.pcbi.1007024
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