Mouse Aging Cell Atlas Analysis Reveals Global and Cell Type Specific Aging Signatures
Zhang, M. J.; Pisco, A. O.; Darmanis, S.; Zou, J.
Show 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.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Pan-tissue Transcriptome Analysis Reveals Sex-dimorphic Human Aging 98%
- The Neuron-specific IIS/FOXO Transcriptome in Aged Animals Reveals Regulatory Mechanisms of Neuronal and Cognitive Aging 97%
- Microglia aging in the hippocampus advances through intermediate states that drive activation and cognitive decline 97%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.