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Unbiased analysis of senescence associated secretory phenotype (SASP) to identify common components following different genotoxic stresses

Servet Özcan, Nicola Alessio, Mustafa Burak Acar, Eda Mert, Fatih Omerli, Gianfranco Peluso, Umberto Galderisi

Aging · 2016 · ▲ 295 citations

Abstract

Senescent cells secrete senescence(definition)-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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Provenance

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OpenAlex
DOI
10.18632/aging.100971
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2026-06-10 MST

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APA
Özcan, S., Alessio, N., Acar, M.B., Mert, E., Omerli, F., Peluso, G., &amp; Galderisi, U. (2016). Unbiased analysis of senescence associated secretory phenotype (SASP) to identify common components following different genotoxic stresses. <em>Aging</em>. https://doi.org/10.18632/aging.100971
Vancouver
Özcan S, Alessio N, Acar MB, Mert E, Omerli F, Peluso G, et al. Unbiased analysis of senescence associated secretory phenotype (SASP) to identify common components following different genotoxic stresses. Aging. 2016. doi:10.18632/aging.100971.
BibTeX
@article{servet2016Unbias, title = {Unbiased analysis of senescence associated secretory phenotype (SASP) to identify common components following different genotoxic stresses}, author = {Servet Özcan and Nicola Alessio and Mustafa Burak Acar and Eda Mert and Fatih Omerli and Gianfranco Peluso and Umberto Galderisi}, journal = {Aging}, year = {2016}, doi = {10.18632/aging.100971}, }

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