SRSF1 - one gene that made old cells read young

Wyss Institute at Harvard University · Article

A Harvard Wyss Institute team led by George Church built a machine-learning predictor of transcriptomic age - how old human skin cells read from their gene activity - and used it to screen candidate genes for ones that push old cells back toward a youthful reading. The top hit, SRSF1, an RNA-processing factor, reduced senescence, proteostatic stress and inflammation markers in old human cells without erasing their identity, and in aged mice it slowed the rate of aging and extended lifespan by about 14 percent.

Key takeaways:

• The method matters as much as the gene: a scorable age predictor turns rejuvenation into a searchable screen, rather than a bet on the Yamanaka reprogramming factors and their identity-loss risks
• In mice the delivered gene accumulated mainly in the liver, so the lifespan result is a whole-animal signal from a largely single-organ intervention
• There are no human in-vivo data: the human evidence is cells in a dish, and SRSF1 is a target, not a therapy

Hype check: Proven - younger transcriptomic readings and reduced aging hallmarks in cultured human cells, plus lifespan extension in aged mice. Promising - SRSF1 as a geroprotective drug target. Marketing - any framing of this as age reversal in people; no human has received it.