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DNA Sequence Explains Seemingly Disordered Methylation Levels in Partially Methylated Domains of Mammalian Genomes

For the most part metazoan genomes are highly methylated and harbor only small regions with low or absent methylation. In contrast, partially methylated domains (PMDs), recently discovered in a variety of cell lines and tissues, do not fit this paradigm as they show partial methylation for large por...

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Autores principales: Gaidatzis, Dimos, Burger, Lukas, Murr, Rabih, Lerch, Anita, Dessus-Babus, Sophie, Schübeler, Dirk, Stadler, Michael B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3923675/
https://www.ncbi.nlm.nih.gov/pubmed/24550741
http://dx.doi.org/10.1371/journal.pgen.1004143
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author Gaidatzis, Dimos
Burger, Lukas
Murr, Rabih
Lerch, Anita
Dessus-Babus, Sophie
Schübeler, Dirk
Stadler, Michael B.
author_facet Gaidatzis, Dimos
Burger, Lukas
Murr, Rabih
Lerch, Anita
Dessus-Babus, Sophie
Schübeler, Dirk
Stadler, Michael B.
author_sort Gaidatzis, Dimos
collection PubMed
description For the most part metazoan genomes are highly methylated and harbor only small regions with low or absent methylation. In contrast, partially methylated domains (PMDs), recently discovered in a variety of cell lines and tissues, do not fit this paradigm as they show partial methylation for large portions (20%–40%) of the genome. While in PMDs methylation levels are reduced on average, we found that at single CpG resolution, they show extensive variability along the genome outside of CpG islands and DNase I hypersensitive sites (DHS). Methylation levels range from 0% to 100% in a roughly uniform fashion with only little similarity between neighboring CpGs. A comparison of various PMD-containing methylomes showed that these seemingly disordered states of methylation are strongly conserved across cell types for virtually every PMD. Comparative sequence analysis suggests that DNA sequence is a major determinant of these methylation states. This is further substantiated by a purely sequence based model which can predict 31% (R(2)) of the variation in methylation. The model revealed CpG density as the main driving feature promoting methylation, opposite to what has been shown for CpG islands, followed by various dinucleotides immediately flanking the CpG and a minor contribution from sequence preferences reflecting nucleosome positioning. Taken together we provide a reinterpretation for the nucleotide-specific methylation levels observed in PMDs, demonstrate their conservation across tissues and suggest that they are mainly determined by specific DNA sequence features.
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spelling pubmed-39236752014-02-18 DNA Sequence Explains Seemingly Disordered Methylation Levels in Partially Methylated Domains of Mammalian Genomes Gaidatzis, Dimos Burger, Lukas Murr, Rabih Lerch, Anita Dessus-Babus, Sophie Schübeler, Dirk Stadler, Michael B. PLoS Genet Research Article For the most part metazoan genomes are highly methylated and harbor only small regions with low or absent methylation. In contrast, partially methylated domains (PMDs), recently discovered in a variety of cell lines and tissues, do not fit this paradigm as they show partial methylation for large portions (20%–40%) of the genome. While in PMDs methylation levels are reduced on average, we found that at single CpG resolution, they show extensive variability along the genome outside of CpG islands and DNase I hypersensitive sites (DHS). Methylation levels range from 0% to 100% in a roughly uniform fashion with only little similarity between neighboring CpGs. A comparison of various PMD-containing methylomes showed that these seemingly disordered states of methylation are strongly conserved across cell types for virtually every PMD. Comparative sequence analysis suggests that DNA sequence is a major determinant of these methylation states. This is further substantiated by a purely sequence based model which can predict 31% (R(2)) of the variation in methylation. The model revealed CpG density as the main driving feature promoting methylation, opposite to what has been shown for CpG islands, followed by various dinucleotides immediately flanking the CpG and a minor contribution from sequence preferences reflecting nucleosome positioning. Taken together we provide a reinterpretation for the nucleotide-specific methylation levels observed in PMDs, demonstrate their conservation across tissues and suggest that they are mainly determined by specific DNA sequence features. Public Library of Science 2014-02-13 /pmc/articles/PMC3923675/ /pubmed/24550741 http://dx.doi.org/10.1371/journal.pgen.1004143 Text en © 2014 Gaidatzis 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
Gaidatzis, Dimos
Burger, Lukas
Murr, Rabih
Lerch, Anita
Dessus-Babus, Sophie
Schübeler, Dirk
Stadler, Michael B.
DNA Sequence Explains Seemingly Disordered Methylation Levels in Partially Methylated Domains of Mammalian Genomes
title DNA Sequence Explains Seemingly Disordered Methylation Levels in Partially Methylated Domains of Mammalian Genomes
title_full DNA Sequence Explains Seemingly Disordered Methylation Levels in Partially Methylated Domains of Mammalian Genomes
title_fullStr DNA Sequence Explains Seemingly Disordered Methylation Levels in Partially Methylated Domains of Mammalian Genomes
title_full_unstemmed DNA Sequence Explains Seemingly Disordered Methylation Levels in Partially Methylated Domains of Mammalian Genomes
title_short DNA Sequence Explains Seemingly Disordered Methylation Levels in Partially Methylated Domains of Mammalian Genomes
title_sort dna sequence explains seemingly disordered methylation levels in partially methylated domains of mammalian genomes
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3923675/
https://www.ncbi.nlm.nih.gov/pubmed/24550741
http://dx.doi.org/10.1371/journal.pgen.1004143
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