Highly accurate Skin-Specific methylome analysis algorithm as a platform to screen and validate therapeutics for healthy aging [DS3]
收藏NIAID Data Ecosystem2026-03-11 收录
下载链接:
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE151602
下载链接
链接失效反馈官方服务:
资源简介:
In the present study, we developed a highly accurate Skin-Specific DNAm age predictor, using DNAm data obtained from 508 human skin samples. Based on the analysis of 2,266 CpG sites, we accurately calculated the DNAm age of cultured skin cells, and human skin biopsies. Age estimation was sensitive to the biological age of the donor, cell passage, skin disease status, as well as treatment with senotherapeutic drugs. Analyze the difference in methylation profile on human dermal fibroblasts isolated from a young donor (29 years) and a elderly donor (84 years). Sample 1: human dermal fibrblasts from a 29 years old donor, in triplicate Sample 2: human dermal fibrblasts from a 84 years old donor, in triplicate
创建时间:
2020-07-20



