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Charting a dynamic DNA methylation landscape of the human genome
DNA methylation is a defining feature of mammalian cellular identity and essential for normal development(1,2). Most cell types, except germ cells and pre-implantation embryos(3–5), display relatively stable DNA methylation patterns with 70–80% of all CpGs being methylated(6). Despite recent advance...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3821869/ https://www.ncbi.nlm.nih.gov/pubmed/23925113 http://dx.doi.org/10.1038/nature12433 |
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author | Ziller, Michael J. Gu, Hongcang Müller, Fabian Donaghey, Julie Tsai, Linus T.-Y. Kohlbacher, Oliver De Jager, Phil L. Rosen, Evan D. Bennett, David A. Bernstein, Bradley E. Gnirke, Andreas Meissner, Alexander |
author_facet | Ziller, Michael J. Gu, Hongcang Müller, Fabian Donaghey, Julie Tsai, Linus T.-Y. Kohlbacher, Oliver De Jager, Phil L. Rosen, Evan D. Bennett, David A. Bernstein, Bradley E. Gnirke, Andreas Meissner, Alexander |
author_sort | Ziller, Michael J. |
collection | PubMed |
description | DNA methylation is a defining feature of mammalian cellular identity and essential for normal development(1,2). Most cell types, except germ cells and pre-implantation embryos(3–5), display relatively stable DNA methylation patterns with 70–80% of all CpGs being methylated(6). Despite recent advances we still have a too limited understanding of when, where and how many CpGs participate in genomic regulation. Here we report the in depth analysis of 42 whole genome bisulfite sequencing (WGBS) data sets across 30 diverse human cell and tissue types. We observe dynamic regulation for only 21.8% of autosomal CpGs within a normal developmental context, a majority of which are distal to transcription start sites. These dynamic CpGs co-localize with gene regulatory elements, particularly enhancers and transcription factor binding sites (TFBS), which allow identification of key lineage specific regulators. In addition, differentially methylated regions (DMRs) often harbor SNPs associated with cell type related diseases as determined by GWAS. The results also highlight the general inefficiency of WGBS as 70–80% of the sequencing reads across these data sets provided little or no relevant information regarding CpG methylation. To further demonstrate the utility of our DMR set, we use it to classify unknown samples and identify representative signature regions that recapitulate major DNA methylation dynamics. In summary, although in theory every CpG can change its methylation state, our results suggest that only a fraction does so as part of coordinated regulatory programs. Therefore our selected DMRs can serve as a starting point to help guide novel, more effective reduced representation approaches to capture the most informative fraction of CpGs as well as further pinpoint putative regulatory elements. |
format | Online Article Text |
id | pubmed-3821869 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
record_format | MEDLINE/PubMed |
spelling | pubmed-38218692014-02-22 Charting a dynamic DNA methylation landscape of the human genome Ziller, Michael J. Gu, Hongcang Müller, Fabian Donaghey, Julie Tsai, Linus T.-Y. Kohlbacher, Oliver De Jager, Phil L. Rosen, Evan D. Bennett, David A. Bernstein, Bradley E. Gnirke, Andreas Meissner, Alexander Nature Article DNA methylation is a defining feature of mammalian cellular identity and essential for normal development(1,2). Most cell types, except germ cells and pre-implantation embryos(3–5), display relatively stable DNA methylation patterns with 70–80% of all CpGs being methylated(6). Despite recent advances we still have a too limited understanding of when, where and how many CpGs participate in genomic regulation. Here we report the in depth analysis of 42 whole genome bisulfite sequencing (WGBS) data sets across 30 diverse human cell and tissue types. We observe dynamic regulation for only 21.8% of autosomal CpGs within a normal developmental context, a majority of which are distal to transcription start sites. These dynamic CpGs co-localize with gene regulatory elements, particularly enhancers and transcription factor binding sites (TFBS), which allow identification of key lineage specific regulators. In addition, differentially methylated regions (DMRs) often harbor SNPs associated with cell type related diseases as determined by GWAS. The results also highlight the general inefficiency of WGBS as 70–80% of the sequencing reads across these data sets provided little or no relevant information regarding CpG methylation. To further demonstrate the utility of our DMR set, we use it to classify unknown samples and identify representative signature regions that recapitulate major DNA methylation dynamics. In summary, although in theory every CpG can change its methylation state, our results suggest that only a fraction does so as part of coordinated regulatory programs. Therefore our selected DMRs can serve as a starting point to help guide novel, more effective reduced representation approaches to capture the most informative fraction of CpGs as well as further pinpoint putative regulatory elements. 2013-08-07 2013-08-22 /pmc/articles/PMC3821869/ /pubmed/23925113 http://dx.doi.org/10.1038/nature12433 Text en Users may view, print, copy, download and text and data- mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms |
spellingShingle | Article Ziller, Michael J. Gu, Hongcang Müller, Fabian Donaghey, Julie Tsai, Linus T.-Y. Kohlbacher, Oliver De Jager, Phil L. Rosen, Evan D. Bennett, David A. Bernstein, Bradley E. Gnirke, Andreas Meissner, Alexander Charting a dynamic DNA methylation landscape of the human genome |
title | Charting a dynamic DNA methylation landscape of the human genome |
title_full | Charting a dynamic DNA methylation landscape of the human genome |
title_fullStr | Charting a dynamic DNA methylation landscape of the human genome |
title_full_unstemmed | Charting a dynamic DNA methylation landscape of the human genome |
title_short | Charting a dynamic DNA methylation landscape of the human genome |
title_sort | charting a dynamic dna methylation landscape of the human genome |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3821869/ https://www.ncbi.nlm.nih.gov/pubmed/23925113 http://dx.doi.org/10.1038/nature12433 |
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