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Transcription-driven genome organization: a model for chromosome structure and the regulation of gene expression tested through simulations
Current models for the folding of the human genome see a hierarchy stretching down from chromosome territories, through A/B compartments and topologically-associating domains (TADs), to contact domains stabilized by cohesin and CTCF. However, molecular mechanisms underlying this folding, and the way...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6212781/ https://www.ncbi.nlm.nih.gov/pubmed/30239812 http://dx.doi.org/10.1093/nar/gky763 |
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author | Cook, Peter R Marenduzzo, Davide |
author_facet | Cook, Peter R Marenduzzo, Davide |
author_sort | Cook, Peter R |
collection | PubMed |
description | Current models for the folding of the human genome see a hierarchy stretching down from chromosome territories, through A/B compartments and topologically-associating domains (TADs), to contact domains stabilized by cohesin and CTCF. However, molecular mechanisms underlying this folding, and the way folding affects transcriptional activity, remain obscure. Here we review physical principles driving proteins bound to long polymers into clusters surrounded by loops, and present a parsimonious yet comprehensive model for the way the organization determines function. We argue that clusters of active RNA polymerases and their transcription factors are major architectural features; then, contact domains, TADs and compartments just reflect one or more loops and clusters. We suggest tethering a gene close to a cluster containing appropriate factors—a transcription factory—increases the firing frequency, and offer solutions to many current puzzles concerning the actions of enhancers, super-enhancers, boundaries and eQTLs (expression quantitative trait loci). As a result, the activity of any gene is directly influenced by the activity of other transcription units around it in 3D space, and this is supported by Brownian-dynamics simulations of transcription factors binding to cognate sites on long polymers. |
format | Online Article Text |
id | pubmed-6212781 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-62127812018-11-06 Transcription-driven genome organization: a model for chromosome structure and the regulation of gene expression tested through simulations Cook, Peter R Marenduzzo, Davide Nucleic Acids Res Survey and Summary Current models for the folding of the human genome see a hierarchy stretching down from chromosome territories, through A/B compartments and topologically-associating domains (TADs), to contact domains stabilized by cohesin and CTCF. However, molecular mechanisms underlying this folding, and the way folding affects transcriptional activity, remain obscure. Here we review physical principles driving proteins bound to long polymers into clusters surrounded by loops, and present a parsimonious yet comprehensive model for the way the organization determines function. We argue that clusters of active RNA polymerases and their transcription factors are major architectural features; then, contact domains, TADs and compartments just reflect one or more loops and clusters. We suggest tethering a gene close to a cluster containing appropriate factors—a transcription factory—increases the firing frequency, and offer solutions to many current puzzles concerning the actions of enhancers, super-enhancers, boundaries and eQTLs (expression quantitative trait loci). As a result, the activity of any gene is directly influenced by the activity of other transcription units around it in 3D space, and this is supported by Brownian-dynamics simulations of transcription factors binding to cognate sites on long polymers. Oxford University Press 2018-11-02 2018-09-18 /pmc/articles/PMC6212781/ /pubmed/30239812 http://dx.doi.org/10.1093/nar/gky763 Text en © The Author(s) 2018. Published by Oxford University Press on behalf of Nucleic Acids Research. 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 reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Survey and Summary Cook, Peter R Marenduzzo, Davide Transcription-driven genome organization: a model for chromosome structure and the regulation of gene expression tested through simulations |
title | Transcription-driven genome organization: a model for chromosome structure and the regulation of gene expression tested through simulations |
title_full | Transcription-driven genome organization: a model for chromosome structure and the regulation of gene expression tested through simulations |
title_fullStr | Transcription-driven genome organization: a model for chromosome structure and the regulation of gene expression tested through simulations |
title_full_unstemmed | Transcription-driven genome organization: a model for chromosome structure and the regulation of gene expression tested through simulations |
title_short | Transcription-driven genome organization: a model for chromosome structure and the regulation of gene expression tested through simulations |
title_sort | transcription-driven genome organization: a model for chromosome structure and the regulation of gene expression tested through simulations |
topic | Survey and Summary |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6212781/ https://www.ncbi.nlm.nih.gov/pubmed/30239812 http://dx.doi.org/10.1093/nar/gky763 |
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