Cell biologist Junyue Cao argues that aging is a programmed, stepwise process rather than random decay, based on large-scale analysis of gene expression across millions of cells from aging mice. His research at Rockefeller University identifies discrete stages of aging defined by changes in molecular signals and specific cell populations, suggesting the process involves organized redistribution of cells rather than simple deterioration.
Current molecular biology tools force researchers to choose between speed, cell viability, and measurement breadth, but controlling cells like a closed-loop system requires all three. The author argues that solving diseases requires new instruments that can measure living cells in real time across many variables, not simply collecting more data with existing destructive methods.