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Inter-nucleosomal potentials from nucleosomal positioning data
No systematic method exists to derive inter-nucleosomal potentials between nucleosomes along a chromosome consistently across a given genome. Such potentials can yield information on nucleosomal ordering, thermal as well as mechanical properties of chromosomes. Thus, indirectly, they shed light on a...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9001623/ https://www.ncbi.nlm.nih.gov/pubmed/35403917 http://dx.doi.org/10.1140/epje/s10189-022-00185-3 |
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author | Li, Kunhe Oiwa, Nestor Norio Mishra, Sujeet Kumar Heermann, Dieter W. |
author_facet | Li, Kunhe Oiwa, Nestor Norio Mishra, Sujeet Kumar Heermann, Dieter W. |
author_sort | Li, Kunhe |
collection | PubMed |
description | No systematic method exists to derive inter-nucleosomal potentials between nucleosomes along a chromosome consistently across a given genome. Such potentials can yield information on nucleosomal ordering, thermal as well as mechanical properties of chromosomes. Thus, indirectly, they shed light on a possible mechanical genomic code along a chromosome. To develop a method yielding effective inter-nucleosomal potentials between nucleosomes, a generalized Lennard-Jones potential for the parameterization is developed based on nucleosomal positioning data. This approach eliminates some of the problems that the underlying nucleosomal positioning data have, rendering the extraction difficult on the individual nucleosomal level. Furthermore, patterns on which to base a classification along a chromosome appear on larger domains, such as hetero- and euchromatin. An intuitive selection strategy for the noisy optimization problem is employed to derive effective exponents for the generalized potential. The method is tested on the Candida albicans genome. Applying k-means clustering based on potential parameters and thermodynamic compressibilities, a genome-wide clustering of nucleosome sequences is obtained for C. albicans. This clustering shows that a chromosome beyond the classical dichotomic categories of hetero- and euchromatin is more feature-rich. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1140/epje/s10189-022-00185-3. |
format | Online Article Text |
id | pubmed-9001623 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-90016232022-04-27 Inter-nucleosomal potentials from nucleosomal positioning data Li, Kunhe Oiwa, Nestor Norio Mishra, Sujeet Kumar Heermann, Dieter W. Eur Phys J E Soft Matter Regular Article - Living Systems No systematic method exists to derive inter-nucleosomal potentials between nucleosomes along a chromosome consistently across a given genome. Such potentials can yield information on nucleosomal ordering, thermal as well as mechanical properties of chromosomes. Thus, indirectly, they shed light on a possible mechanical genomic code along a chromosome. To develop a method yielding effective inter-nucleosomal potentials between nucleosomes, a generalized Lennard-Jones potential for the parameterization is developed based on nucleosomal positioning data. This approach eliminates some of the problems that the underlying nucleosomal positioning data have, rendering the extraction difficult on the individual nucleosomal level. Furthermore, patterns on which to base a classification along a chromosome appear on larger domains, such as hetero- and euchromatin. An intuitive selection strategy for the noisy optimization problem is employed to derive effective exponents for the generalized potential. The method is tested on the Candida albicans genome. Applying k-means clustering based on potential parameters and thermodynamic compressibilities, a genome-wide clustering of nucleosome sequences is obtained for C. albicans. This clustering shows that a chromosome beyond the classical dichotomic categories of hetero- and euchromatin is more feature-rich. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1140/epje/s10189-022-00185-3. Springer Berlin Heidelberg 2022-04-11 2022 /pmc/articles/PMC9001623/ /pubmed/35403917 http://dx.doi.org/10.1140/epje/s10189-022-00185-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Regular Article - Living Systems Li, Kunhe Oiwa, Nestor Norio Mishra, Sujeet Kumar Heermann, Dieter W. Inter-nucleosomal potentials from nucleosomal positioning data |
title | Inter-nucleosomal potentials from nucleosomal positioning data |
title_full | Inter-nucleosomal potentials from nucleosomal positioning data |
title_fullStr | Inter-nucleosomal potentials from nucleosomal positioning data |
title_full_unstemmed | Inter-nucleosomal potentials from nucleosomal positioning data |
title_short | Inter-nucleosomal potentials from nucleosomal positioning data |
title_sort | inter-nucleosomal potentials from nucleosomal positioning data |
topic | Regular Article - Living Systems |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9001623/ https://www.ncbi.nlm.nih.gov/pubmed/35403917 http://dx.doi.org/10.1140/epje/s10189-022-00185-3 |
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