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A genome-scale map of DNA methylation turnover identifies site-specific dependencies of DNMT and TET activity
DNA methylation is considered a stable epigenetic mark, yet methylation patterns can vary during differentiation and in diseases such as cancer. Local levels of DNA methylation result from opposing enzymatic activities, the rates of which remain largely unknown. Here we developed a theoretical and e...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7260214/ https://www.ncbi.nlm.nih.gov/pubmed/32471981 http://dx.doi.org/10.1038/s41467-020-16354-x |
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author | Ginno, Paul Adrian Gaidatzis, Dimos Feldmann, Angelika Hoerner, Leslie Imanci, Dilek Burger, Lukas Zilbermann, Frederic Peters, Antoine H. F. M. Edenhofer, Frank Smallwood, Sébastien A. Krebs, Arnaud R. Schübeler, Dirk |
author_facet | Ginno, Paul Adrian Gaidatzis, Dimos Feldmann, Angelika Hoerner, Leslie Imanci, Dilek Burger, Lukas Zilbermann, Frederic Peters, Antoine H. F. M. Edenhofer, Frank Smallwood, Sébastien A. Krebs, Arnaud R. Schübeler, Dirk |
author_sort | Ginno, Paul Adrian |
collection | PubMed |
description | DNA methylation is considered a stable epigenetic mark, yet methylation patterns can vary during differentiation and in diseases such as cancer. Local levels of DNA methylation result from opposing enzymatic activities, the rates of which remain largely unknown. Here we developed a theoretical and experimental framework enabling us to infer methylation and demethylation rates at 860,404 CpGs in mouse embryonic stem cells. We find that enzymatic rates can vary as much as two orders of magnitude between CpGs with identical steady-state DNA methylation. Unexpectedly, de novo and maintenance methylation activity is reduced at transcription factor binding sites, while methylation turnover is elevated in transcribed gene bodies. Furthermore, we show that TET activity contributes substantially more than passive demethylation to establishing low methylation levels at distal enhancers. Taken together, our work unveils a genome-scale map of methylation kinetics, revealing highly variable and context-specific activity for the DNA methylation machinery. |
format | Online Article Text |
id | pubmed-7260214 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-72602142020-06-09 A genome-scale map of DNA methylation turnover identifies site-specific dependencies of DNMT and TET activity Ginno, Paul Adrian Gaidatzis, Dimos Feldmann, Angelika Hoerner, Leslie Imanci, Dilek Burger, Lukas Zilbermann, Frederic Peters, Antoine H. F. M. Edenhofer, Frank Smallwood, Sébastien A. Krebs, Arnaud R. Schübeler, Dirk Nat Commun Article DNA methylation is considered a stable epigenetic mark, yet methylation patterns can vary during differentiation and in diseases such as cancer. Local levels of DNA methylation result from opposing enzymatic activities, the rates of which remain largely unknown. Here we developed a theoretical and experimental framework enabling us to infer methylation and demethylation rates at 860,404 CpGs in mouse embryonic stem cells. We find that enzymatic rates can vary as much as two orders of magnitude between CpGs with identical steady-state DNA methylation. Unexpectedly, de novo and maintenance methylation activity is reduced at transcription factor binding sites, while methylation turnover is elevated in transcribed gene bodies. Furthermore, we show that TET activity contributes substantially more than passive demethylation to establishing low methylation levels at distal enhancers. Taken together, our work unveils a genome-scale map of methylation kinetics, revealing highly variable and context-specific activity for the DNA methylation machinery. Nature Publishing Group UK 2020-05-29 /pmc/articles/PMC7260214/ /pubmed/32471981 http://dx.doi.org/10.1038/s41467-020-16354-x Text en © The Author(s) 2020 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 Ginno, Paul Adrian Gaidatzis, Dimos Feldmann, Angelika Hoerner, Leslie Imanci, Dilek Burger, Lukas Zilbermann, Frederic Peters, Antoine H. F. M. Edenhofer, Frank Smallwood, Sébastien A. Krebs, Arnaud R. Schübeler, Dirk A genome-scale map of DNA methylation turnover identifies site-specific dependencies of DNMT and TET activity |
title | A genome-scale map of DNA methylation turnover identifies site-specific dependencies of DNMT and TET activity |
title_full | A genome-scale map of DNA methylation turnover identifies site-specific dependencies of DNMT and TET activity |
title_fullStr | A genome-scale map of DNA methylation turnover identifies site-specific dependencies of DNMT and TET activity |
title_full_unstemmed | A genome-scale map of DNA methylation turnover identifies site-specific dependencies of DNMT and TET activity |
title_short | A genome-scale map of DNA methylation turnover identifies site-specific dependencies of DNMT and TET activity |
title_sort | genome-scale map of dna methylation turnover identifies site-specific dependencies of dnmt and tet activity |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7260214/ https://www.ncbi.nlm.nih.gov/pubmed/32471981 http://dx.doi.org/10.1038/s41467-020-16354-x |
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