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DNA methylation entropy is associated with DNA sequence features and developmental epigenetic divergence
Epigenetic information defines tissue identity and is largely inherited in development through DNA methylation. While studied mostly for mean differences, methylation also encodes stochastic change, defined as entropy in information theory. Analyzing allele-specific methylation in 49 human tissue sa...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10018346/ https://www.ncbi.nlm.nih.gov/pubmed/36762477 http://dx.doi.org/10.1093/nar/gkad050 |
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author | Fang, Yuqi Ji, Zhicheng Zhou, Weiqiang Abante, Jordi Koldobskiy, Michael A Ji, Hongkai Feinberg, Andrew P |
author_facet | Fang, Yuqi Ji, Zhicheng Zhou, Weiqiang Abante, Jordi Koldobskiy, Michael A Ji, Hongkai Feinberg, Andrew P |
author_sort | Fang, Yuqi |
collection | PubMed |
description | Epigenetic information defines tissue identity and is largely inherited in development through DNA methylation. While studied mostly for mean differences, methylation also encodes stochastic change, defined as entropy in information theory. Analyzing allele-specific methylation in 49 human tissue sample datasets, we find that methylation entropy is associated with specific DNA binding motifs, regulatory DNA, and CpG density. Then applying information theory to 42 mouse embryo methylation datasets, we find that the contribution of methylation entropy to time- and tissue-specific patterns of development is comparable to the contribution of methylation mean, and methylation entropy is associated with sequence and chromatin features conserved with human. Moreover, methylation entropy is directly related to gene expression variability in development, suggesting a role for epigenetic entropy in developmental plasticity. |
format | Online Article Text |
id | pubmed-10018346 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-100183462023-03-17 DNA methylation entropy is associated with DNA sequence features and developmental epigenetic divergence Fang, Yuqi Ji, Zhicheng Zhou, Weiqiang Abante, Jordi Koldobskiy, Michael A Ji, Hongkai Feinberg, Andrew P Nucleic Acids Res Computational Biology Epigenetic information defines tissue identity and is largely inherited in development through DNA methylation. While studied mostly for mean differences, methylation also encodes stochastic change, defined as entropy in information theory. Analyzing allele-specific methylation in 49 human tissue sample datasets, we find that methylation entropy is associated with specific DNA binding motifs, regulatory DNA, and CpG density. Then applying information theory to 42 mouse embryo methylation datasets, we find that the contribution of methylation entropy to time- and tissue-specific patterns of development is comparable to the contribution of methylation mean, and methylation entropy is associated with sequence and chromatin features conserved with human. Moreover, methylation entropy is directly related to gene expression variability in development, suggesting a role for epigenetic entropy in developmental plasticity. Oxford University Press 2023-02-10 /pmc/articles/PMC10018346/ /pubmed/36762477 http://dx.doi.org/10.1093/nar/gkad050 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://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 Fang, Yuqi Ji, Zhicheng Zhou, Weiqiang Abante, Jordi Koldobskiy, Michael A Ji, Hongkai Feinberg, Andrew P DNA methylation entropy is associated with DNA sequence features and developmental epigenetic divergence |
title | DNA methylation entropy is associated with DNA sequence features and developmental epigenetic divergence |
title_full | DNA methylation entropy is associated with DNA sequence features and developmental epigenetic divergence |
title_fullStr | DNA methylation entropy is associated with DNA sequence features and developmental epigenetic divergence |
title_full_unstemmed | DNA methylation entropy is associated with DNA sequence features and developmental epigenetic divergence |
title_short | DNA methylation entropy is associated with DNA sequence features and developmental epigenetic divergence |
title_sort | dna methylation entropy is associated with dna sequence features and developmental epigenetic divergence |
topic | Computational Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10018346/ https://www.ncbi.nlm.nih.gov/pubmed/36762477 http://dx.doi.org/10.1093/nar/gkad050 |
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