The opposite aging effect to single cell transcriptome profile among cell subsets.
Abstract
Comparing transcriptome profiling between younger and older samples reveals genes related to aging and provides insight into the biological functions affected by aging. Recent research has identified sex, tissue, and cell type-specific age-related changes in gene expression. This study reports the overall picture of the opposite aging effect, in which aging increases gene expression in one cell subset and decreases it in another cell subset. Using the Tabula Muris Senis dataset, a large public single-cell RNA sequencing dataset from mice, we compared the effects of aging in different cell subsets. As a result, the opposite aging effect was observed widely in the genes, particularly enriched in genes related to ribosomal function and translation. The opposite aging effect was observed in the known aging-related genes. Furthermore, the opposite aging effect was observed in the transcriptome diversity quantified by the number of expressed genes and the Shannon entropy. This study highlights the importance of considering the cell subset when intervening with aging-related genes.
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Research summary
The paper investigates the effects of aging on gene expression in different cell subsets, which is pertinent to understanding the biological mechanisms of aging. It highlights the complexity of aging at the cellular level and suggests that interventions may need to consider specific cell types. However, while the findings are interesting and contribute to the field, they do not present a major breakthrough or transformative insights that would significantly advance the understanding of aging or lifespan extension. Thus, the impact is rated as solid but limited.
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