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Predicting the three-dimensional folding of cis-regulatory regions in mammalian genomes using bioinformatic data and polymer models
The three-dimensional (3D) organization of chromosomes can be probed using methods like Capture-C. However, it is unclear how such population-level data relate to the organization within a single cell, and the mechanisms leading to the observed interactions are still largely obscure. We present a po...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4815170/ https://www.ncbi.nlm.nih.gov/pubmed/27036497 http://dx.doi.org/10.1186/s13059-016-0909-0 |
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author | Brackley, Chris A. Brown, Jill M. Waithe, Dominic Babbs, Christian Davies, James Hughes, Jim R. Buckle, Veronica J. Marenduzzo, Davide |
author_facet | Brackley, Chris A. Brown, Jill M. Waithe, Dominic Babbs, Christian Davies, James Hughes, Jim R. Buckle, Veronica J. Marenduzzo, Davide |
author_sort | Brackley, Chris A. |
collection | PubMed |
description | The three-dimensional (3D) organization of chromosomes can be probed using methods like Capture-C. However, it is unclear how such population-level data relate to the organization within a single cell, and the mechanisms leading to the observed interactions are still largely obscure. We present a polymer modeling scheme based on the assumption that chromosome architecture is maintained by protein bridges, which form chromatin loops. To test the model, we perform FISH experiments and compare with Capture-C data. Starting merely from the locations of protein binding sites, our model accurately predicts the experimentally observed chromatin interactions, revealing a population of 3D conformations. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13059-016-0909-0) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4815170 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-48151702016-04-01 Predicting the three-dimensional folding of cis-regulatory regions in mammalian genomes using bioinformatic data and polymer models Brackley, Chris A. Brown, Jill M. Waithe, Dominic Babbs, Christian Davies, James Hughes, Jim R. Buckle, Veronica J. Marenduzzo, Davide Genome Biol Method The three-dimensional (3D) organization of chromosomes can be probed using methods like Capture-C. However, it is unclear how such population-level data relate to the organization within a single cell, and the mechanisms leading to the observed interactions are still largely obscure. We present a polymer modeling scheme based on the assumption that chromosome architecture is maintained by protein bridges, which form chromatin loops. To test the model, we perform FISH experiments and compare with Capture-C data. Starting merely from the locations of protein binding sites, our model accurately predicts the experimentally observed chromatin interactions, revealing a population of 3D conformations. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13059-016-0909-0) contains supplementary material, which is available to authorized users. BioMed Central 2016-03-31 /pmc/articles/PMC4815170/ /pubmed/27036497 http://dx.doi.org/10.1186/s13059-016-0909-0 Text en © Brackley et al. 2016 Open Access This 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 | Method Brackley, Chris A. Brown, Jill M. Waithe, Dominic Babbs, Christian Davies, James Hughes, Jim R. Buckle, Veronica J. Marenduzzo, Davide Predicting the three-dimensional folding of cis-regulatory regions in mammalian genomes using bioinformatic data and polymer models |
title | Predicting the three-dimensional folding of cis-regulatory regions in mammalian genomes using bioinformatic data and polymer models |
title_full | Predicting the three-dimensional folding of cis-regulatory regions in mammalian genomes using bioinformatic data and polymer models |
title_fullStr | Predicting the three-dimensional folding of cis-regulatory regions in mammalian genomes using bioinformatic data and polymer models |
title_full_unstemmed | Predicting the three-dimensional folding of cis-regulatory regions in mammalian genomes using bioinformatic data and polymer models |
title_short | Predicting the three-dimensional folding of cis-regulatory regions in mammalian genomes using bioinformatic data and polymer models |
title_sort | predicting the three-dimensional folding of cis-regulatory regions in mammalian genomes using bioinformatic data and polymer models |
topic | Method |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4815170/ https://www.ncbi.nlm.nih.gov/pubmed/27036497 http://dx.doi.org/10.1186/s13059-016-0909-0 |
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