To uncover genes associated with aging, researchers led by Simon Melov gathered whole-genome expression profiles from 104 C. elegans specimens over the course of their lives. The individual worms were then scored for age-related phenotypes to determine which transcriptional profiles are associated with physiological or chronological age. "This is the first evidence that physiological age can be predicted non-subjectively.