Abstract

The senescence-associated secretory phenotype (SASP) has recently emerged as a driver of and promising therapeutic target for multiple age-related conditions, ranging from neurodegeneration to cancer. The complexity of the SASP, typically assessed by a few dozen secreted proteins, has been greatly underestimated, and a small set of factors cannot explain the diverse phenotypes it produces in vivo. Here, we present the "SASP Atlas," a comprehensive proteomic database of soluble proteins and exosomal cargo SASP factors originating from multiple senescence inducers and cell types. Each profile consists of hundreds of largely distinct proteins but also includes a subset of proteins elevated in all SASPs. Our analyses identify several candidate biomarkers of cellular senescence that overlap with aging markers in human plasma, including Growth/differentiation factor 15 (GDF15), stanniocalcin 1 (STC1), and serine protease inhibitors (SERPINs), which significantly correlated with age in plasma from a human cohort, the Baltimore Longitudinal Study of Aging (BLSA). Our findings will facilitate the identification of proteins characteristic of senescence-associated phenotypes and catalog potential senescence biomarkers to assess the burden, originating stimulus, and tissue of origin of senescent cells in vivo.

Keywords

BiologySenescencePhenotypeNeurodegenerationBiomarkerProteomicsComputational biologyCell biologyGeneticsBioinformaticsDiseaseGenePathology

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Year
2020
Type
article
Volume
18
Issue
1
Pages
e3000599-e3000599
Citations
1158
Access
Closed

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Nathan Basisty, Abhijit Kale, Ok Hee Jeon et al. (2020). A proteomic atlas of senescence-associated secretomes for aging biomarker development. PLoS Biology , 18 (1) , e3000599-e3000599. https://doi.org/10.1371/journal.pbio.3000599

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DOI
10.1371/journal.pbio.3000599