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Entropy gives rise to topologically associating domains
We investigate chromosome organization within the nucleus using polymer models whose formulation is closely guided by experiments in live yeast cells. We employ bead-spring chromosome models together with loop formation within the chains and the presence of nuclear bodies to quantify the extent to w...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4937343/ https://www.ncbi.nlm.nih.gov/pubmed/27257057 http://dx.doi.org/10.1093/nar/gkw510 |
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author | Vasquez, Paula A. Hult, Caitlin Adalsteinsson, David Lawrimore, Josh Forest, Mark G. Bloom, Kerry |
author_facet | Vasquez, Paula A. Hult, Caitlin Adalsteinsson, David Lawrimore, Josh Forest, Mark G. Bloom, Kerry |
author_sort | Vasquez, Paula A. |
collection | PubMed |
description | We investigate chromosome organization within the nucleus using polymer models whose formulation is closely guided by experiments in live yeast cells. We employ bead-spring chromosome models together with loop formation within the chains and the presence of nuclear bodies to quantify the extent to which these mechanisms shape the topological landscape in the interphase nucleus. By investigating the genome as a dynamical system, we show that domains of high chromosomal interactions can arise solely from the polymeric nature of the chromosome arms due to entropic interactions and nuclear confinement. In this view, the role of bio-chemical related processes is to modulate and extend the duration of the interacting domains. |
format | Online Article Text |
id | pubmed-4937343 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-49373432016-07-11 Entropy gives rise to topologically associating domains Vasquez, Paula A. Hult, Caitlin Adalsteinsson, David Lawrimore, Josh Forest, Mark G. Bloom, Kerry Nucleic Acids Res Computational Biology We investigate chromosome organization within the nucleus using polymer models whose formulation is closely guided by experiments in live yeast cells. We employ bead-spring chromosome models together with loop formation within the chains and the presence of nuclear bodies to quantify the extent to which these mechanisms shape the topological landscape in the interphase nucleus. By investigating the genome as a dynamical system, we show that domains of high chromosomal interactions can arise solely from the polymeric nature of the chromosome arms due to entropic interactions and nuclear confinement. In this view, the role of bio-chemical related processes is to modulate and extend the duration of the interacting domains. Oxford University Press 2016-07-08 2016-06-02 /pmc/articles/PMC4937343/ /pubmed/27257057 http://dx.doi.org/10.1093/nar/gkw510 Text en © The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Computational Biology Vasquez, Paula A. Hult, Caitlin Adalsteinsson, David Lawrimore, Josh Forest, Mark G. Bloom, Kerry Entropy gives rise to topologically associating domains |
title | Entropy gives rise to topologically associating domains |
title_full | Entropy gives rise to topologically associating domains |
title_fullStr | Entropy gives rise to topologically associating domains |
title_full_unstemmed | Entropy gives rise to topologically associating domains |
title_short | Entropy gives rise to topologically associating domains |
title_sort | entropy gives rise to topologically associating domains |
topic | Computational Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4937343/ https://www.ncbi.nlm.nih.gov/pubmed/27257057 http://dx.doi.org/10.1093/nar/gkw510 |
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