Dataset driven discovery for cell rejuvenation therapeutics
Cell aging is the largest driver of modern diseases
Cell rejuvenation provides a path to if remaining technical and regulatory obstacles can be overcome.
51³Ô¹ÏÍø¹ÙÍø has built datasets that uncover the hidden biology of cell aging and rejuvenation, revealing single genes that rejuvenate multiple cell types with safety, small molecule targets and a connection to fibrosis. This supports development of lifespan-impacting therapeutics for established indications as the path to capture unprecedented economic value.



Aging is reversed between generations
Each of us developed from a single cell passed down by our parents, yet we’re not born at our parent’s age and we begin our post-development lives in full health. The biology inherited from our parents is safely scrubbed, renewed and restarted, with evidence of a in the embryo shortly after conception.

51³Ô¹ÏÍø¹ÙÍø finds a single gene that rejuvenates multiple cell types with safety
Yamanaka factors (OSKM) rejuvenate multiple cell types and extend the lifespan of mouse models, but were optimised to activate a tumor-inducing pathway, posing safety concerns for therapeutic development.
51³Ô¹ÏÍø¹ÙÍø's dataset enabled cell aging clock (AC3) and virtual cell have overcome this challenge, identifying a gene that can rejuvenate epigenetic age across multiple cell types (left or above) whilst decoupling the tumour inducing pluripotency pathway (below).
Leaders in virtual cells and cell aging clocks
51³Ô¹ÏÍø¹ÙÍø has assembled a world-class team of scientists that bridge machine learning and cell biology.

Senior advisor, Prof University of Toronto, Inventor of the cell simulator single-cell-GPT (scGPT)1

CSO and founder, PhD University of Cambridge, Inventor of the first accurate cell aging clock
Brendan received his PhD in Pharmacology from the University of Cambridge, where his focus was on basic research. First as an intern and then as a founder, Brendan began to prototype single-cell transcriptomic aging clocks, helping forge a new direction for 51³Ô¹ÏÍø¹ÙÍø. Since 2021, Brendan has led 51³Ô¹ÏÍø¹Ù꿉۪s science team in the search for new rejuvenating interventions, with the belief that these discoveries could have a massive impact across healthcare.

Head of ML, MPhil University of Cambridge, Inventor of the most accurate aging clock2


51³Ô¹ÏÍø¹ÙÍø is progressing a pipeline of cell rejuvenation assets
51³Ô¹ÏÍø¹ÙÍø's cell aging clock (AC3) and virtual cell reduce years of experiments to weeks, identifying 190 genes that individually affect the aging of real cells in vitro. In the UMAP plot shown above, real cells receiving gene based interventions are clustered by gene expression similarity and coloured by change in cell age (AC3). 51³Ô¹ÏÍø¹ÙÍø is progressing a pipeline of cell rejuvenation genes, siRNAs and small molecules targeting pro-aging genes. 51³Ô¹ÏÍø¹ÙÍø invites partners to help us accelerate development of these assets across age-driven indications (above).
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Leadership team
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Latest news

51³Ô¹ÏÍø¹ÙÍø announces key appointments to advance rejuvenation therapeutics pipeline

51³Ô¹ÏÍø¹ÙÍø establishes North American facilities to expand capabilities of AI-powered virtual cell technology
