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Unbiased analysis of senescence associated secretory phenotype (SASP) to identify common components following different genotoxic stresses
Senescent cells secrete senescence-associated secretory phenotype (SASP) proteins to carry out several functions, such as sensitizing surrounding cells to senesce; immunomodulation; impairing or fostering cancer growth; and promoting tissue development. Identifying secreted factors that achieve such...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4993333/ https://www.ncbi.nlm.nih.gov/pubmed/27288264 http://dx.doi.org/10.18632/aging.100971 |
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author | Özcan, Servet Alessio, Nicola Acar, Mustafa B. Mert, Eda Omerli, Fatih Peluso, Gianfranco Galderisi, Umberto |
author_facet | Özcan, Servet Alessio, Nicola Acar, Mustafa B. Mert, Eda Omerli, Fatih Peluso, Gianfranco Galderisi, Umberto |
author_sort | Özcan, Servet |
collection | PubMed |
description | Senescent cells secrete senescence-associated secretory phenotype (SASP) proteins to carry out several functions, such as sensitizing surrounding cells to senesce; immunomodulation; impairing or fostering cancer growth; and promoting tissue development. Identifying secreted factors that achieve such tasks is a challenging issue since the profile of secreted proteins depends on genotoxic stress and cell type. Currently, researchers are trying to identify common markers for SASP. The present investigation compared the secretome composition of five different senescent phenotypes in two different cell types: bone marrow and adipose mesenchymal stromal cells (MSC). We induced MSC senescence by oxidative stress, doxorubicin treatment, X-ray irradiation, and replicative exhaustion. We took advantage of LC-MS/MS proteome identification and subsequent gene ontology (GO) evaluation to perform an unbiased analysis (hypothesis free manner) of senescent secretomes. GO analysis allowed us to distribute SASP components into four classes: extracellular matrix/cytoskeleton/cell junctions; metabolic processes; ox-redox factors; and regulators of gene expression. We used Ingenuity Pathway Analysis (IPA) to determine common pathways among the different senescent phenotypes. This investigation, along with identification of eleven proteins that were exclusively expressed in all the analyzed senescent phenotypes, permitted the identification of three key signaling paths: MMP2 - TIMP2; IGFBP3 - PAI-1; and Peroxiredoxin 6 - ERP46 - PARK7 - Cathepsin D - Major vault protein. We suggest that these paths could be involved in the paracrine circuit that induces senescence in neighboring cells and may confer apoptosis resistance to senescent cells. |
format | Online Article Text |
id | pubmed-4993333 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-49933332016-08-26 Unbiased analysis of senescence associated secretory phenotype (SASP) to identify common components following different genotoxic stresses Özcan, Servet Alessio, Nicola Acar, Mustafa B. Mert, Eda Omerli, Fatih Peluso, Gianfranco Galderisi, Umberto Aging (Albany NY) Research Paper Senescent cells secrete senescence-associated secretory phenotype (SASP) proteins to carry out several functions, such as sensitizing surrounding cells to senesce; immunomodulation; impairing or fostering cancer growth; and promoting tissue development. Identifying secreted factors that achieve such tasks is a challenging issue since the profile of secreted proteins depends on genotoxic stress and cell type. Currently, researchers are trying to identify common markers for SASP. The present investigation compared the secretome composition of five different senescent phenotypes in two different cell types: bone marrow and adipose mesenchymal stromal cells (MSC). We induced MSC senescence by oxidative stress, doxorubicin treatment, X-ray irradiation, and replicative exhaustion. We took advantage of LC-MS/MS proteome identification and subsequent gene ontology (GO) evaluation to perform an unbiased analysis (hypothesis free manner) of senescent secretomes. GO analysis allowed us to distribute SASP components into four classes: extracellular matrix/cytoskeleton/cell junctions; metabolic processes; ox-redox factors; and regulators of gene expression. We used Ingenuity Pathway Analysis (IPA) to determine common pathways among the different senescent phenotypes. This investigation, along with identification of eleven proteins that were exclusively expressed in all the analyzed senescent phenotypes, permitted the identification of three key signaling paths: MMP2 - TIMP2; IGFBP3 - PAI-1; and Peroxiredoxin 6 - ERP46 - PARK7 - Cathepsin D - Major vault protein. We suggest that these paths could be involved in the paracrine circuit that induces senescence in neighboring cells and may confer apoptosis resistance to senescent cells. Impact Journals LLC 2016-06-09 /pmc/articles/PMC4993333/ /pubmed/27288264 http://dx.doi.org/10.18632/aging.100971 Text en Copyright: © 2016 Özcan et al. http://creativecommons.org/licenses/by/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Özcan, Servet Alessio, Nicola Acar, Mustafa B. Mert, Eda Omerli, Fatih Peluso, Gianfranco Galderisi, Umberto Unbiased analysis of senescence associated secretory phenotype (SASP) to identify common components following different genotoxic stresses |
title | Unbiased analysis of senescence associated secretory phenotype (SASP) to identify common components following different genotoxic stresses |
title_full | Unbiased analysis of senescence associated secretory phenotype (SASP) to identify common components following different genotoxic stresses |
title_fullStr | Unbiased analysis of senescence associated secretory phenotype (SASP) to identify common components following different genotoxic stresses |
title_full_unstemmed | Unbiased analysis of senescence associated secretory phenotype (SASP) to identify common components following different genotoxic stresses |
title_short | Unbiased analysis of senescence associated secretory phenotype (SASP) to identify common components following different genotoxic stresses |
title_sort | unbiased analysis of senescence associated secretory phenotype (sasp) to identify common components following different genotoxic stresses |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4993333/ https://www.ncbi.nlm.nih.gov/pubmed/27288264 http://dx.doi.org/10.18632/aging.100971 |
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