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In Vivo Control of CpG and Non-CpG DNA Methylation by DNA Methyltransferases

The enzymatic control of the setting and maintenance of symmetric and non-symmetric DNA methylation patterns in a particular genome context is not well understood. Here, we describe a comprehensive analysis of DNA methylation patterns generated by high resolution sequencing of hairpin-bisulfite ampl...

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Autores principales: Arand, Julia, Spieler, David, Karius, Tommy, Branco, Miguel R., Meilinger, Daniela, Meissner, Alexander, Jenuwein, Thomas, Xu, Guoliang, Leonhardt, Heinrich, Wolf, Verena, Walter, Jörn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3386304/
https://www.ncbi.nlm.nih.gov/pubmed/22761581
http://dx.doi.org/10.1371/journal.pgen.1002750
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author Arand, Julia
Spieler, David
Karius, Tommy
Branco, Miguel R.
Meilinger, Daniela
Meissner, Alexander
Jenuwein, Thomas
Xu, Guoliang
Leonhardt, Heinrich
Wolf, Verena
Walter, Jörn
author_facet Arand, Julia
Spieler, David
Karius, Tommy
Branco, Miguel R.
Meilinger, Daniela
Meissner, Alexander
Jenuwein, Thomas
Xu, Guoliang
Leonhardt, Heinrich
Wolf, Verena
Walter, Jörn
author_sort Arand, Julia
collection PubMed
description The enzymatic control of the setting and maintenance of symmetric and non-symmetric DNA methylation patterns in a particular genome context is not well understood. Here, we describe a comprehensive analysis of DNA methylation patterns generated by high resolution sequencing of hairpin-bisulfite amplicons of selected single copy genes and repetitive elements (LINE1, B1, IAP-LTR-retrotransposons, and major satellites). The analysis unambiguously identifies a substantial amount of regional incomplete methylation maintenance, i.e. hemimethylated CpG positions, with variant degrees among cell types. Moreover, non-CpG cytosine methylation is confined to ESCs and exclusively catalysed by Dnmt3a and Dnmt3b. This sequence position–, cell type–, and region-dependent non-CpG methylation is strongly linked to neighboring CpG methylation and requires the presence of Dnmt3L. The generation of a comprehensive data set of 146,000 CpG dyads was used to apply and develop parameter estimated hidden Markov models (HMM) to calculate the relative contribution of DNA methyltransferases (Dnmts) for de novo and maintenance DNA methylation. The comparative modelling included wild-type ESCs and mutant ESCs deficient for Dnmt1, Dnmt3a, Dnmt3b, or Dnmt3a/3b, respectively. The HMM analysis identifies a considerable de novo methylation activity for Dnmt1 at certain repetitive elements and single copy sequences. Dnmt3a and Dnmt3b contribute de novo function. However, both enzymes are also essential to maintain symmetrical CpG methylation at distinct repetitive and single copy sequences in ESCs.
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spelling pubmed-33863042012-07-03 In Vivo Control of CpG and Non-CpG DNA Methylation by DNA Methyltransferases Arand, Julia Spieler, David Karius, Tommy Branco, Miguel R. Meilinger, Daniela Meissner, Alexander Jenuwein, Thomas Xu, Guoliang Leonhardt, Heinrich Wolf, Verena Walter, Jörn PLoS Genet Research Article The enzymatic control of the setting and maintenance of symmetric and non-symmetric DNA methylation patterns in a particular genome context is not well understood. Here, we describe a comprehensive analysis of DNA methylation patterns generated by high resolution sequencing of hairpin-bisulfite amplicons of selected single copy genes and repetitive elements (LINE1, B1, IAP-LTR-retrotransposons, and major satellites). The analysis unambiguously identifies a substantial amount of regional incomplete methylation maintenance, i.e. hemimethylated CpG positions, with variant degrees among cell types. Moreover, non-CpG cytosine methylation is confined to ESCs and exclusively catalysed by Dnmt3a and Dnmt3b. This sequence position–, cell type–, and region-dependent non-CpG methylation is strongly linked to neighboring CpG methylation and requires the presence of Dnmt3L. The generation of a comprehensive data set of 146,000 CpG dyads was used to apply and develop parameter estimated hidden Markov models (HMM) to calculate the relative contribution of DNA methyltransferases (Dnmts) for de novo and maintenance DNA methylation. The comparative modelling included wild-type ESCs and mutant ESCs deficient for Dnmt1, Dnmt3a, Dnmt3b, or Dnmt3a/3b, respectively. The HMM analysis identifies a considerable de novo methylation activity for Dnmt1 at certain repetitive elements and single copy sequences. Dnmt3a and Dnmt3b contribute de novo function. However, both enzymes are also essential to maintain symmetrical CpG methylation at distinct repetitive and single copy sequences in ESCs. Public Library of Science 2012-06-28 /pmc/articles/PMC3386304/ /pubmed/22761581 http://dx.doi.org/10.1371/journal.pgen.1002750 Text en Arand et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Arand, Julia
Spieler, David
Karius, Tommy
Branco, Miguel R.
Meilinger, Daniela
Meissner, Alexander
Jenuwein, Thomas
Xu, Guoliang
Leonhardt, Heinrich
Wolf, Verena
Walter, Jörn
In Vivo Control of CpG and Non-CpG DNA Methylation by DNA Methyltransferases
title In Vivo Control of CpG and Non-CpG DNA Methylation by DNA Methyltransferases
title_full In Vivo Control of CpG and Non-CpG DNA Methylation by DNA Methyltransferases
title_fullStr In Vivo Control of CpG and Non-CpG DNA Methylation by DNA Methyltransferases
title_full_unstemmed In Vivo Control of CpG and Non-CpG DNA Methylation by DNA Methyltransferases
title_short In Vivo Control of CpG and Non-CpG DNA Methylation by DNA Methyltransferases
title_sort in vivo control of cpg and non-cpg dna methylation by dna methyltransferases
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3386304/
https://www.ncbi.nlm.nih.gov/pubmed/22761581
http://dx.doi.org/10.1371/journal.pgen.1002750
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