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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...

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Autores principales: Özcan, Servet, Alessio, Nicola, Acar, Mustafa B., Mert, Eda, Omerli, Fatih, Peluso, Gianfranco, Galderisi, Umberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2016
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.
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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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