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Dataset Information

Highly accurate skin-specific methylome analysis algorithm as a platform to screen and validate therapeutics for healthy aging.


ABSTRACT:

Background

DNA methylation (DNAm) age constitutes a powerful tool to assess the molecular age and overall health status of biological samples. Recently, it has been shown that tissue-specific DNAm age predictors may present superior performance compared to the pan- or multi-tissue counterparts. The skin is the largest organ in the body and bears important roles, such as body temperature control, barrier function, and protection from external insults. As a consequence of the constant and intimate interaction between the skin and the environment, current DNAm estimators, routinely trained using internal tissues which are influenced by other stimuli, are mostly inadequate to accurately predict skin DNAm age.

Results

In the present study, we developed a highly accurate skin-spec

SUBMITTER: Boroni M 

PROVIDER: S-EPMC7359467 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature

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