Predicting the spatial organization of chromosomes using epigenetic data

Chromosome folding can reinforce the demarcation between euchromatin and heterochromatin. Two new studies show how epigenetic data, including DNA methylation, can accurately predict chromosome folding in three dimensions. Such computational approaches reinforce the idea of a linkage between epigenet...

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Detalles Bibliográficos
Autores principales: Mourad, Raphaël, Cuvier, Olivier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Research Highlight
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4552987/
https://www.ncbi.nlm.nih.gov/pubmed/26319942
http://dx.doi.org/10.1186/s13059-015-0752-8
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author Mourad, Raphaël
Cuvier, Olivier
author_facet Mourad, Raphaël
Cuvier, Olivier
author_sort Mourad, Raphaël
collection PubMed
description Chromosome folding can reinforce the demarcation between euchromatin and heterochromatin. Two new studies show how epigenetic data, including DNA methylation, can accurately predict chromosome folding in three dimensions. Such computational approaches reinforce the idea of a linkage between epigenetically marked chromatin domains and their segregation into distinct compartments at the megabase scale or topological domains at a higher resolution. Please see related articles: http://dx.doi.org/10.1186/s13059-015-0741-y and http://dx.doi.org/10.1186/s13059-015-0740-z
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spelling pubmed-45529872015-08-30 Predicting the spatial organization of chromosomes using epigenetic data Mourad, Raphaël Cuvier, Olivier Genome Biol Research Highlight Chromosome folding can reinforce the demarcation between euchromatin and heterochromatin. Two new studies show how epigenetic data, including DNA methylation, can accurately predict chromosome folding in three dimensions. Such computational approaches reinforce the idea of a linkage between epigenetically marked chromatin domains and their segregation into distinct compartments at the megabase scale or topological domains at a higher resolution. Please see related articles: http://dx.doi.org/10.1186/s13059-015-0741-y and http://dx.doi.org/10.1186/s13059-015-0740-z BioMed Central 2015-08-29 2015 /pmc/articles/PMC4552987/ /pubmed/26319942 http://dx.doi.org/10.1186/s13059-015-0752-8 Text en © Mourad and Cuvier. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Highlight
Mourad, Raphaël
Cuvier, Olivier
Predicting the spatial organization of chromosomes using epigenetic data
title Predicting the spatial organization of chromosomes using epigenetic data
title_full Predicting the spatial organization of chromosomes using epigenetic data
title_fullStr Predicting the spatial organization of chromosomes using epigenetic data
title_full_unstemmed Predicting the spatial organization of chromosomes using epigenetic data
title_short Predicting the spatial organization of chromosomes using epigenetic data
title_sort predicting the spatial organization of chromosomes using epigenetic data
topic Research Highlight
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4552987/
https://www.ncbi.nlm.nih.gov/pubmed/26319942
http://dx.doi.org/10.1186/s13059-015-0752-8
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