{"id":218486,"date":"2025-07-22T16:04:34","date_gmt":"2025-07-22T21:04:34","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2025\/07\/methagingdb-a-comprehensive-dna-methylation-database-for-aging-biology"},"modified":"2025-07-22T16:04:34","modified_gmt":"2025-07-22T21:04:34","slug":"methagingdb-a-comprehensive-dna-methylation-database-for-aging-biology","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2025\/07\/methagingdb-a-comprehensive-dna-methylation-database-for-aging-biology","title":{"rendered":"MethAgingDB: a comprehensive DNA methylation database for aging biology"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/methagingdb-a-comprehensive-dna-methylation-database-for-aging-biology.jpg\"><\/a><\/p>\n<p><i>Scientific Data<\/i> \u2014 MethAgingDB: a comprehensive DNA methylation database for aging biology. MethAgingDB includes 93 datasets, with 11,474 profiles from 13 distinct human tissues and 1,361 profiles from 9 distinct mouse tissues. The database provides preprocessed DNA methylation data in a consistent matrix format, along with tissue-specific DMSs and DMRs, gene-centric aging insights, and an extensive collection of epigenetic clocks. Together, MethAgingDB is expected to streamline aging-related epigenetic research and support the development of robust, biologically informed aging biomarkers.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Scientific Data \u2014 MethAgingDB: a comprehensive DNA methylation database for aging biology. MethAgingDB includes 93 datasets, with 11,474 profiles from 13 distinct human tissues and 1,361 profiles from 9 distinct mouse tissues. The database provides preprocessed DNA methylation data in a consistent matrix format, along with tissue-specific DMSs and DMRs, gene-centric aging insights, and an [\u2026]<\/p>\n","protected":false},"author":662,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11,412,269],"tags":[],"class_list":["post-218486","post","type-post","status-publish","format-standard","hentry","category-biotech-medical","category-genetics","category-life-extension"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/218486","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/users\/662"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=218486"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/218486\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=218486"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=218486"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=218486"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}