Unveiling the cell-type-specific landscape of cellular senescence through single-cell transcriptomics using SenePy

Abstract excerpt

Senescent cells accumulate in most tissues with organismal aging, exposure to stressors, or disease progression. It is challenging to identify senescent cells because cellular senescence signatures and phenotypes vary widely across distinct cell types and tissues. Here we developed an analytical algorithm that defines cell-type-specific and universal signatures of cellular senescence across a wide range of cell...

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• Share to Genetics, Aging, and Longevity in Model Organisms
• Share to Single-cell and spatial transcriptomics
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