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Genome-wide mapping of DNA methylation: a quantitative technology comparison

DNA methylation is a key component of mammalian gene regulation and the most classical example of an epigenetic mark. DNA methylation patterns are mitotically heritable and stable over time, but they undergo considerable changes in response to cell differentiation, diseases and environmental influen...

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Autores principales: Bock, Christoph, Tomazou, Eleni M., Brinkman, Arjen, Müller, Fabian, Simmer, Femke, Gu, Hongcang, Jäger, Natalie, Gnirke, Andreas, Stunnenberg, Hendrik G., Meissner, Alexander
Formato: Texto
Lenguaje:English
Publicado: 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3066564/
https://www.ncbi.nlm.nih.gov/pubmed/20852634
http://dx.doi.org/10.1038/nbt.1681
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author Bock, Christoph
Tomazou, Eleni M.
Brinkman, Arjen
Müller, Fabian
Simmer, Femke
Gu, Hongcang
Jäger, Natalie
Gnirke, Andreas
Stunnenberg, Hendrik G.
Meissner, Alexander
author_facet Bock, Christoph
Tomazou, Eleni M.
Brinkman, Arjen
Müller, Fabian
Simmer, Femke
Gu, Hongcang
Jäger, Natalie
Gnirke, Andreas
Stunnenberg, Hendrik G.
Meissner, Alexander
author_sort Bock, Christoph
collection PubMed
description DNA methylation is a key component of mammalian gene regulation and the most classical example of an epigenetic mark. DNA methylation patterns are mitotically heritable and stable over time, but they undergo considerable changes in response to cell differentiation, diseases and environmental influences. Several methods have been developed for DNA methylation profiling on a genomic scale. Here, we benchmark four of these methods on two sample pairs, comparing their accuracy and power to detect DNA methylation differences. The results show that all evaluated methods (MeDIP-seq: methylated DNA immunoprecipitation, MethylCap-seq: methylated DNA capture by affinity purification, RRBS: reduced representation bisulfite sequencing, and the Infinium HumanMethylation27 assay) produce accurate DNA methylation data. However, these methods differ in their ability to detect differentially methylated regions between pairs of samples. We highlight strengths and weaknesses of the four methods and give practical recommendations for the design of epigenomic case-control studies.
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spelling pubmed-30665642011-04-01 Genome-wide mapping of DNA methylation: a quantitative technology comparison Bock, Christoph Tomazou, Eleni M. Brinkman, Arjen Müller, Fabian Simmer, Femke Gu, Hongcang Jäger, Natalie Gnirke, Andreas Stunnenberg, Hendrik G. Meissner, Alexander Nat Biotechnol Article DNA methylation is a key component of mammalian gene regulation and the most classical example of an epigenetic mark. DNA methylation patterns are mitotically heritable and stable over time, but they undergo considerable changes in response to cell differentiation, diseases and environmental influences. Several methods have been developed for DNA methylation profiling on a genomic scale. Here, we benchmark four of these methods on two sample pairs, comparing their accuracy and power to detect DNA methylation differences. The results show that all evaluated methods (MeDIP-seq: methylated DNA immunoprecipitation, MethylCap-seq: methylated DNA capture by affinity purification, RRBS: reduced representation bisulfite sequencing, and the Infinium HumanMethylation27 assay) produce accurate DNA methylation data. However, these methods differ in their ability to detect differentially methylated regions between pairs of samples. We highlight strengths and weaknesses of the four methods and give practical recommendations for the design of epigenomic case-control studies. 2010-09-19 2010-10 /pmc/articles/PMC3066564/ /pubmed/20852634 http://dx.doi.org/10.1038/nbt.1681 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
Bock, Christoph
Tomazou, Eleni M.
Brinkman, Arjen
Müller, Fabian
Simmer, Femke
Gu, Hongcang
Jäger, Natalie
Gnirke, Andreas
Stunnenberg, Hendrik G.
Meissner, Alexander
Genome-wide mapping of DNA methylation: a quantitative technology comparison
title Genome-wide mapping of DNA methylation: a quantitative technology comparison
title_full Genome-wide mapping of DNA methylation: a quantitative technology comparison
title_fullStr Genome-wide mapping of DNA methylation: a quantitative technology comparison
title_full_unstemmed Genome-wide mapping of DNA methylation: a quantitative technology comparison
title_short Genome-wide mapping of DNA methylation: a quantitative technology comparison
title_sort genome-wide mapping of dna methylation: a quantitative technology comparison
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3066564/
https://www.ncbi.nlm.nih.gov/pubmed/20852634
http://dx.doi.org/10.1038/nbt.1681
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