Predicting age from the transcriptome of human dermal fibroblasts
Predicting age from the transcriptome of human dermal fibroblasts
Biomarkers of aging can be used to assess the health of individuals and to study aging and age-related diseases. We generate a large dataset of genome-wide RNA-seq profiles of human dermal fibroblasts from 133 people aged 1 to 94 years old to test whether signatures of aging are encoded within the transcriptome.