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Current theoretical models fail to predict the topological complexity of the human genome

Understanding the folding of the human genome is a key challenge of modern structural biology. The emergence of chromatin conformation capture assays (e.g., Hi-C) has revolutionized chromosome biology and provided new insights into the three dimensional structure of the genome. The experimental data...

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Autores principales: Arsuaga, Javier, Jayasinghe, Reyka G., Scharein, Robert G., Segal, Mark R., Stolz, Robert H., Vazquez, Mariel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4543886/
https://www.ncbi.nlm.nih.gov/pubmed/26347874
http://dx.doi.org/10.3389/fmolb.2015.00048
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author Arsuaga, Javier
Jayasinghe, Reyka G.
Scharein, Robert G.
Segal, Mark R.
Stolz, Robert H.
Vazquez, Mariel
author_facet Arsuaga, Javier
Jayasinghe, Reyka G.
Scharein, Robert G.
Segal, Mark R.
Stolz, Robert H.
Vazquez, Mariel
author_sort Arsuaga, Javier
collection PubMed
description Understanding the folding of the human genome is a key challenge of modern structural biology. The emergence of chromatin conformation capture assays (e.g., Hi-C) has revolutionized chromosome biology and provided new insights into the three dimensional structure of the genome. The experimental data are highly complex and need to be analyzed with quantitative tools. It has been argued that the data obtained from Hi-C assays are consistent with a fractal organization of the genome. A key characteristic of the fractal globule is the lack of topological complexity (knotting or inter-linking). However, the absence of topological complexity contradicts results from polymer physics showing that the entanglement of long linear polymers in a confined volume increases rapidly with the length and with decreasing volume. In vivo and in vitro assays support this claim in some biological systems. We simulate knotted lattice polygons confined inside a sphere and demonstrate that their contact frequencies agree with the human Hi-C data. We conclude that the topological complexity of the human genome cannot be inferred from current Hi-C data.
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spelling pubmed-45438862015-09-07 Current theoretical models fail to predict the topological complexity of the human genome Arsuaga, Javier Jayasinghe, Reyka G. Scharein, Robert G. Segal, Mark R. Stolz, Robert H. Vazquez, Mariel Front Mol Biosci Molecular Biosciences Understanding the folding of the human genome is a key challenge of modern structural biology. The emergence of chromatin conformation capture assays (e.g., Hi-C) has revolutionized chromosome biology and provided new insights into the three dimensional structure of the genome. The experimental data are highly complex and need to be analyzed with quantitative tools. It has been argued that the data obtained from Hi-C assays are consistent with a fractal organization of the genome. A key characteristic of the fractal globule is the lack of topological complexity (knotting or inter-linking). However, the absence of topological complexity contradicts results from polymer physics showing that the entanglement of long linear polymers in a confined volume increases rapidly with the length and with decreasing volume. In vivo and in vitro assays support this claim in some biological systems. We simulate knotted lattice polygons confined inside a sphere and demonstrate that their contact frequencies agree with the human Hi-C data. We conclude that the topological complexity of the human genome cannot be inferred from current Hi-C data. Frontiers Media S.A. 2015-08-21 /pmc/articles/PMC4543886/ /pubmed/26347874 http://dx.doi.org/10.3389/fmolb.2015.00048 Text en Copyright © 2015 Arsuaga, Jayasinghe, Scharein, Segal, Stolz and Vazquez. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Molecular Biosciences
Arsuaga, Javier
Jayasinghe, Reyka G.
Scharein, Robert G.
Segal, Mark R.
Stolz, Robert H.
Vazquez, Mariel
Current theoretical models fail to predict the topological complexity of the human genome
title Current theoretical models fail to predict the topological complexity of the human genome
title_full Current theoretical models fail to predict the topological complexity of the human genome
title_fullStr Current theoretical models fail to predict the topological complexity of the human genome
title_full_unstemmed Current theoretical models fail to predict the topological complexity of the human genome
title_short Current theoretical models fail to predict the topological complexity of the human genome
title_sort current theoretical models fail to predict the topological complexity of the human genome
topic Molecular Biosciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4543886/
https://www.ncbi.nlm.nih.gov/pubmed/26347874
http://dx.doi.org/10.3389/fmolb.2015.00048
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