A genome-scale map of DNA methylation turnover identifies site-specific dependencies of DNMT and TET activity

Local activity of the DNA methylation machinery remains poorly understood. Here, the authors present a theoretical and experimental framework to infer methylation and demethylation rates at genome scale in mouse embryonic stem cells, finding that maintenance methylation activity is reduced at transc...

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Autores principales:	Paul Adrian Ginno, Dimos Gaidatzis, Angelika Feldmann, Leslie Hoerner, Dilek Imanci, Lukas Burger, Frederic Zilbermann, Antoine H. F. M. Peters, Frank Edenhofer, Sébastien A. Smallwood, Arnaud R. Krebs, Dirk Schübeler
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/d71bbc029bb84f98b2659275c30cb32d
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spelling	oai:doaj.org-article:d71bbc029bb84f98b2659275c30cb32d2021-12-02T14:49:16ZA genome-scale map of DNA methylation turnover identifies site-specific dependencies of DNMT and TET activity10.1038/s41467-020-16354-x2041-1723https://doaj.org/article/d71bbc029bb84f98b2659275c30cb32d2020-05-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-16354-xhttps://doaj.org/toc/2041-1723Local activity of the DNA methylation machinery remains poorly understood. Here, the authors present a theoretical and experimental framework to infer methylation and demethylation rates at genome scale in mouse embryonic stem cells, finding that maintenance methylation activity is reduced at transcription factor binding sites, while methylation turnover is elevated in transcribed gene bodies.Paul Adrian GinnoDimos GaidatzisAngelika FeldmannLeslie HoernerDilek ImanciLukas BurgerFrederic ZilbermannAntoine H. F. M. PetersFrank EdenhoferSébastien A. SmallwoodArnaud R. KrebsDirk SchübelerNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-16 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Paul Adrian Ginno Dimos Gaidatzis Angelika Feldmann Leslie Hoerner Dilek Imanci Lukas Burger Frederic Zilbermann Antoine H. F. M. Peters Frank Edenhofer Sébastien A. Smallwood Arnaud R. Krebs Dirk Schübeler A genome-scale map of DNA methylation turnover identifies site-specific dependencies of DNMT and TET activity
description	Local activity of the DNA methylation machinery remains poorly understood. Here, the authors present a theoretical and experimental framework to infer methylation and demethylation rates at genome scale in mouse embryonic stem cells, finding that maintenance methylation activity is reduced at transcription factor binding sites, while methylation turnover is elevated in transcribed gene bodies.
format	article
author	Paul Adrian Ginno Dimos Gaidatzis Angelika Feldmann Leslie Hoerner Dilek Imanci Lukas Burger Frederic Zilbermann Antoine H. F. M. Peters Frank Edenhofer Sébastien A. Smallwood Arnaud R. Krebs Dirk Schübeler
author_facet	Paul Adrian Ginno Dimos Gaidatzis Angelika Feldmann Leslie Hoerner Dilek Imanci Lukas Burger Frederic Zilbermann Antoine H. F. M. Peters Frank Edenhofer Sébastien A. Smallwood Arnaud R. Krebs Dirk Schübeler
author_sort	Paul Adrian Ginno
title	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_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_sort	genome-scale map of dna methylation turnover identifies site-specific dependencies of dnmt and tet activity
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/d71bbc029bb84f98b2659275c30cb32d
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A genome-scale map of DNA methylation turnover identifies site-specific dependencies of DNMT and TET activity

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