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bioRxiv · 10.1101/2019.12.23.887604

Mouse Aging Cell Atlas Analysis Reveals Global and Cell Type Specific Aging Signatures

Zhang, M. J.·Pisco, A. O.·Darmanis, S.·Zou, J.
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Abstract

Aging is associated with complex molecular and cellular processes that are poorly understood. Here we leveraged the Tabula Muris Senis single-cell RNA-seq dataset to systematically characterize gene expression changes during aging across diverse cell types in the mouse. We identified aging-dependent genes in 76 tissue-cell types from 23 tissues and characterized both shared and tissue-cell-specific aging behaviors. We found that the aging-related genes shared by multiple tissue-cell types also change their expression congruently in the same direction during aging in most tissue-cell types, suggesting a coordinated global aging behavior at the organismal level. Scoring cells based on these shared aging genes allowed us to contrast the aging status of different tissues and cell types from a transcriptomic perspective. In addition, we identified genes that exhibit age-related expression changes specific to each functional category of tissue-cell types. All together, our analyses provide one of the most comprehensive and systematic characterizations of the molecular signatures of aging across diverse tissue-cell types in a mammalian system.

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Zhang, M. J., Pisco, A. O., Darmanis, S., Zou, J.. 2019-12-27. Mouse Aging Cell Atlas Analysis Reveals Global and Cell Type Specific Aging Signatures. https://doi.org/10.1101/2019.12.23.887604

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