<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>7(4)</volume><submitter>Cai W</submitter><pubmed_abstract>Organisms and cells, in response to environmental influences or during development, undergo considerable changes in DNA methylation on a genome-wide scale, which are linked to a variety of biological processes. Using MethylC-seq to decipher DNA methylome at single-base resolution is prohibitively costly. In this study, we develop a novel approach, named MBRidge, to detect the methylation levels of repertoire CpGs, by innovatively introducing C-hydroxylmethylated adapters and bisulfate treatment into the MeDIP-seq protocol and employing ridge regression in data analysis. A systematic evaluation of DNA methylome in a human ovarian cell line T29 showed that MBRidge achieved high correlation (R > 0.90) with much less cost (∼10%) in comparison with MethylC-seq. We further applied MBRidge to pro</pubmed_abstract><journal>Journal of molecular cell biology</journal><pagination>299-313</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC4542811</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>MBRidge: an accurate and cost-effective method for profiling DNA methylome at single-base resolution.</pubmed_title><pmcid>PMC4542811</pmcid><pubmed_authors>Wu J</pubmed_authors><pubmed_authors>Cai T</pubmed_authors><pubmed_authors>Sun ZS</pubmed_authors><pubmed_authors>Zhao F</pubmed_authors><pubmed_authors>Mao F</pubmed_authors><pubmed_authors>Teng H</pubmed_authors><pubmed_authors>Cai W</pubmed_authors></additional><is_claimable>false</is_claimable><name>MBRidge: an accurate and cost-effective method for profiling DNA methylome at single-base resolution.</name><description>Organisms and cells, in response to environmental influences or during development, undergo considerable changes in DNA methylation on a genome-wide scale, which are linked to a variety of biological processes. Using MethylC-seq to decipher DNA methylome at single-base resolution is prohibitively costly. In this study, we develop a novel approach, named MBRidge, to detect the methylation levels of repertoire CpGs, by innovatively introducing C-hydroxylmethylated adapters and bisulfate treatment into the MeDIP-seq protocol and employing ridge regression in data analysis. A systematic evaluation of DNA methylome in a human ovarian cell line T29 showed that MBRidge achieved high correlation (R > 0.90) with much less cost (∼10%) in comparison with MethylC-seq. We further applied MBRidge to pro</description><dates><release>2015-01-01T00:00:00Z</release><publication>2015 Aug</publication><modification>2025-04-19T08:29:38.666Z</modification><creation>2019-03-27T01:57:04Z</creation></dates><accession>S-EPMC4542811</accession><cross_references><pubmed>26078362</pubmed><doi>10.1093/jmcb/mjv037</doi></cross_references></HashMap>