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Mouse Aging Atlas The mouse aging atlases show how tissues change the composition of cellular populations at different age windows. On August 14, Quanta Magazine published an interview with cellular biologist Junyue Cao about two mouse aging atlases. They allow tracking of how the proportion of different cellular populations in tissues changes with age and what signals accompany these transitions. Tissue consists of cells with different tasks: some support vessels and tendons, others participate in the immune response, and others restore damage. With age, their ratio changes. Cao studies which populations shrink or expand in each age window and what signals are associated with these transitions. He came to this task when searching for molecular targets to slow down aging: many molecular pathways are associated with age, and their action depends on the cell type. His group developed EasySci, a method that reads active genes in the nuclei of individual cells. By this set of genes, one can recognize the cell type and count how its proportion changes in the tissue. The PanSci atlas includes 21,786,931 nuclear profiles from over 600 samples of 14 tissues taken from mice of both sexes aged from three to 23 months. All samples were processed according to the same scheme so as not to take differences between data batches for age-related changes. The authors found more than 200 cellular populations whose proportion in tissues changed significantly with age. Some groups shrank, others expanded; shifts occurred at different age windows. Nature Aging, July 2026, also explored this topic. 🔗 Read original →