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A proteomic atlas of senescence-associated secretomes for aging biomarker development
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 u...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6964821/ https://www.ncbi.nlm.nih.gov/pubmed/31945054 http://dx.doi.org/10.1371/journal.pbio.3000599 |
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author | Basisty, Nathan Kale, Abhijit Jeon, Ok Hee Kuehnemann, Chisaka Payne, Therese Rao, Chirag Holtz, Anja Shah, Samah Sharma, Vagisha Ferrucci, Luigi Campisi, Judith Schilling, Birgit |
author_facet | Basisty, Nathan Kale, Abhijit Jeon, Ok Hee Kuehnemann, Chisaka Payne, Therese Rao, Chirag Holtz, Anja Shah, Samah Sharma, Vagisha Ferrucci, Luigi Campisi, Judith Schilling, Birgit |
author_sort | Basisty, Nathan |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6964821 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-69648212020-01-26 A proteomic atlas of senescence-associated secretomes for aging biomarker development Basisty, Nathan Kale, Abhijit Jeon, Ok Hee Kuehnemann, Chisaka Payne, Therese Rao, Chirag Holtz, Anja Shah, Samah Sharma, Vagisha Ferrucci, Luigi Campisi, Judith Schilling, Birgit PLoS Biol Methods and Resources 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. Public Library of Science 2020-01-16 /pmc/articles/PMC6964821/ /pubmed/31945054 http://dx.doi.org/10.1371/journal.pbio.3000599 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication. |
spellingShingle | Methods and Resources Basisty, Nathan Kale, Abhijit Jeon, Ok Hee Kuehnemann, Chisaka Payne, Therese Rao, Chirag Holtz, Anja Shah, Samah Sharma, Vagisha Ferrucci, Luigi Campisi, Judith Schilling, Birgit A proteomic atlas of senescence-associated secretomes for aging biomarker development |
title | A proteomic atlas of senescence-associated secretomes for aging biomarker development |
title_full | A proteomic atlas of senescence-associated secretomes for aging biomarker development |
title_fullStr | A proteomic atlas of senescence-associated secretomes for aging biomarker development |
title_full_unstemmed | A proteomic atlas of senescence-associated secretomes for aging biomarker development |
title_short | A proteomic atlas of senescence-associated secretomes for aging biomarker development |
title_sort | proteomic atlas of senescence-associated secretomes for aging biomarker development |
topic | Methods and Resources |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6964821/ https://www.ncbi.nlm.nih.gov/pubmed/31945054 http://dx.doi.org/10.1371/journal.pbio.3000599 |
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