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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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Detalles Bibliográficos
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
Descripción
Sumario: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.