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Defining and detecting links in chromosomes
Sophisticated methods for mapping chromatin contacts enable to generate data of the genome structure that provide deep insights into the formation of chromatin interactions within cell nuclei. Due to the recent progress in this field, three-dimensional genomic structures of individual haploid mouse...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6692345/ https://www.ncbi.nlm.nih.gov/pubmed/31409805 http://dx.doi.org/10.1038/s41598-019-47999-4 |
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author | Niewieczerzal, Szymon Niemyska, Wanda Sulkowska, Joanna I. |
author_facet | Niewieczerzal, Szymon Niemyska, Wanda Sulkowska, Joanna I. |
author_sort | Niewieczerzal, Szymon |
collection | PubMed |
description | Sophisticated methods for mapping chromatin contacts enable to generate data of the genome structure that provide deep insights into the formation of chromatin interactions within cell nuclei. Due to the recent progress in this field, three-dimensional genomic structures of individual haploid mouse embryonic stem cells have been determined. Here, we analyze these data (8 cells) and determine comprehensive landscape of entanglements between interphase chromosomes. We find a significant number of stable links formed by chromosome pairs. Some links are even conserved between cells. Moreover, examples of stable multiple links, with at least three chromosomes engaged, are also identified. Types of links and their location along chromosomes are determined based on computations of HOMFLY-PT polynomials and Gauss Linking Numbers. Furthermore, stability of links is studied between different models, cells, and based on relaxation simulations of the genomic structure in a simplified structure-based representation. Identified links suggest that small fraction of chromosomes are entangled not only locally. How topoisomerases engineer such configurations remains an open question. Furthermore, presented methods can be used as a quantitative assessment – descriptor – to distinguish the quality of modeled data. |
format | Online Article Text |
id | pubmed-6692345 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-66923452019-08-19 Defining and detecting links in chromosomes Niewieczerzal, Szymon Niemyska, Wanda Sulkowska, Joanna I. Sci Rep Article Sophisticated methods for mapping chromatin contacts enable to generate data of the genome structure that provide deep insights into the formation of chromatin interactions within cell nuclei. Due to the recent progress in this field, three-dimensional genomic structures of individual haploid mouse embryonic stem cells have been determined. Here, we analyze these data (8 cells) and determine comprehensive landscape of entanglements between interphase chromosomes. We find a significant number of stable links formed by chromosome pairs. Some links are even conserved between cells. Moreover, examples of stable multiple links, with at least three chromosomes engaged, are also identified. Types of links and their location along chromosomes are determined based on computations of HOMFLY-PT polynomials and Gauss Linking Numbers. Furthermore, stability of links is studied between different models, cells, and based on relaxation simulations of the genomic structure in a simplified structure-based representation. Identified links suggest that small fraction of chromosomes are entangled not only locally. How topoisomerases engineer such configurations remains an open question. Furthermore, presented methods can be used as a quantitative assessment – descriptor – to distinguish the quality of modeled data. Nature Publishing Group UK 2019-08-13 /pmc/articles/PMC6692345/ /pubmed/31409805 http://dx.doi.org/10.1038/s41598-019-47999-4 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Niewieczerzal, Szymon Niemyska, Wanda Sulkowska, Joanna I. Defining and detecting links in chromosomes |
title | Defining and detecting links in chromosomes |
title_full | Defining and detecting links in chromosomes |
title_fullStr | Defining and detecting links in chromosomes |
title_full_unstemmed | Defining and detecting links in chromosomes |
title_short | Defining and detecting links in chromosomes |
title_sort | defining and detecting links in chromosomes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6692345/ https://www.ncbi.nlm.nih.gov/pubmed/31409805 http://dx.doi.org/10.1038/s41598-019-47999-4 |
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