{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["7(4)"],"submitter":["Cai W"],"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"],"journal":["Journal of molecular cell biology"],"pagination":["299-313"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC4542811"],"repository":["biostudies-literature"],"pubmed_title":["MBRidge: an accurate and cost-effective method for profiling DNA methylome at single-base resolution."],"pmcid":["PMC4542811"],"pubmed_authors":["Wu J","Cai T","Sun ZS","Zhao F","Mao F","Teng H","Cai W"],"additional_accession":[]},"is_claimable":false,"name":"MBRidge: an accurate and cost-effective method for profiling DNA methylome at single-base resolution.","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","dates":{"release":"2015-01-01T00:00:00Z","publication":"2015 Aug","modification":"2025-04-19T08:29:38.666Z","creation":"2019-03-27T01:57:04Z"},"accession":"S-EPMC4542811","cross_references":{"pubmed":["26078362"],"doi":["10.1093/jmcb/mjv037"]}}