SkinPhaser

SkinPhaser predicts circadian phase from a single-sample epidermal gene expression profile using a 12-gene biomarker set to estimate body time for applications such as optimizing timing of drug administration and medical procedures.

Key Features:

• Single-sample analysis: Uses a 12-gene biomarker set to infer circadian phase from one human epidermis sample.
• High temporal accuracy: Estimates circadian phase with precision within three hours.
• Cross-population and cross-platform performance: Biomarker set generalizes across body sites, ages, sexes, and detection platforms.
• Epidermis-centric biomarker: Leverages robust circadian clock signals in the epidermis to improve reliability of body time estimates.
• Biomarker derivation: Biomarker set was identified from analyses of 24-hour molecular rhythms in dermis and epidermis across multiple body sites.

Scientific Applications:

• Chronomedicine: Enables estimation of individual body time to inform timing of drug administration and medical procedures.
• Population and translational studies: Supports research requiring generalizable circadian phase assessments across diverse cohorts and platforms.
• Circadian biology research: Facilitates investigation of epidermal clock function and its implications for human health.

Methodology:

Derived from comprehensive analyses of 24-hour molecular rhythms in human dermis and epidermis at multiple body sites using longitudinal studies and population data to identify a 12-gene epidermal biomarker set.