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A Proteomic Atlas of Senescence-Associated Secretomes for Aging Biomarker Development-2

ABSTRACT: The senescence-associated secretory phenotype (SASP) has recently emerged as both a driver of -- and promising therapeutic target for -- a multitude of chronic age-related conditions, ranging from neurodegeneration to cancer. The complexity of the SASP, typically monitored by the secretion of a few proteins, has been greatly underappreciated, and a small set of factors cannot explain the diverse phenotypes it produces in vivo. Here, we present SASP Atlas, a comprehensive proteomic database of SASPs driven by multiple inducers of senescence in different human cell types. While there are common elements among all the SASPs we have documented so far, we discovered distinct senescence inducer- and cell type-specific secretory proteins. In all cases, the SASPs are comprised of hundreds of unique proteins secreted as both soluble proteins (sSASP) and exosomes (eSASP) with distinct and novel protein profiles. This resource will aid in identifying the proteins that drive senescence-associated phenotypes and provide comprehensive catalogs of potential senescence biomarkers that can be used to assess the burden and the originating stimuli and type of senescent cells in vivo.

INSTRUMENT(S): TripleTOF 5600, TripleTOF 6600

ORGANISM(S): Homo Sapiens (ncbitaxon:9606)

SUBMITTER: Birgit Schilling

PROVIDER: MSV000083750 | MassIVE | Mon May 06 13:34:00 BST 2019

SECONDARY ACCESSION(S): PXD013721

REPOSITORIES: MassIVE

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A Proteomic Atlas for the Heterogeneous Senescence Associated Secretory Phenotype

Project description:The senescence-associated secretory phenotype (SASP) has recently emerged as both a driver of -- and promising therapeutic target for -- a multitude of chronic age-related conditions, ranging from neurodegeneration to cancer. The complexity of the SASP, typically monitored by the secretion of a few proteins, has been greatly underappreciated, and a small set of factors cannot explain the diverse phenotypes it produces in vivo. Here, we present SASP Atlas, a comprehensive proteomic database of SASPs driven by multiple inducers of senescence in different human cell types. While there are common elements among all the SASPs we have documented so far, we discovered distinct senescence inducer- and cell type-specific secretory proteins. In all cases, the SASPs are comprised of hundreds of unique proteins secreted as both soluble proteins (sSASP) and exosomes (eSASP) with distinct and novel protein profiles. This resource will aid in identifying the proteins that drive senescence-associated phenotypes and provide comprehensive catalogs of potential senescence biomarkers that can be used to assess the burden and the originating stimuli and type of senescent cells in vivo.

2019-02-21 | MSV000083468 | MassIVE

Oxylipin biosynthesis reinforces cellular senescence through a RAS/p53 feedback loop and allows detection of senolysis

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2016-02-23 | E-GEOD-78138 | biostudies-arrayexpress

Expression data from control infected and H-RASG12V infected IMR90 cells.

Project description:Cellular senescence is a stable proliferation arrest associated with an altered secretory pathway, the Senescence-Associated Secretory Phenotype (SASP). However, cellular senescence is initiated by diverse molecular triggers, such as activated oncogenes and shortened telomeres, and is associated with varied and complex physiological endpoints, such as tumor suppression and tissue aging. The extent to which distinct triggers activate divergent modes of senescence that might be associated with different physiological endpoints is largely unknown. To begin to address this, we performed gene expression profiling to compare the senescence programs associated with two different modes of senescence, oncogene-induced senescence (OIS) and replicative senescence (RS [in part caused by shortened telomeres]). While both OIS and RS are associated with many common changes in gene expression compared to control proliferating cells, they also exhibit substantial differences. These results are discussed in light of potential physiological consequences, tumor suppression and aging. We used microarrays to detail the global programme of gene expression after oncogene induced senescence.

2014-02-28 | E-GEOD-54402 | biostudies-arrayexpress

MLL1 is essential for the senescence-associated secretory phenotype

Project description:This SuperSeries is composed of the SubSeries listed below. Oncogene-induced senescence (OIS) and therapy-induced senescence (TIS), while tumor-suppressive, also promote procarcinogenic effects by activating the DNA damage response (DDR), which in turn induces inflammation. This inflammatory response prominently includes an array of cytokines known as the senescence-associated secretory phenotype (SASP). Previous observations link the transcription-associated methyltransferase and oncoprotein MLL1 to the DDR, leading us to investigate the role of MLL1 in SASP expression. Our findings reveal direct MLL1 epigenetic control over proproliferative cell cycle genes: MLL1 inhibition represses expression of proproliferative cell cycle regulators required for DNA replication and DDR activation, thus disabling SASP expression. Strikingly, however, these effects of MLL1 inhibition on SASP gene expression do not impair OIS and, furthermore, abolish the ability of the SASP to enhance cancer cell proliferation. More broadly, MLL1 inhibition also reduces âSASP-likeâ inflammatory gene expression from cancer cells in vitro and in vivo independently of senescence. Taken together, these data demonstrate that MLL1 inhibition may be a powerful and effective strategy for inducing cancerous growth arrest through the direct epigenetic regulation of proliferation-promoting genes and the avoidance of deleterious OIS- or TIS-related tumor secretomes, which can promote both drug resistance and tumor progression. Previously published samples GSM1135046, GSM1135044, GSM1135047, and GSM1135045 were also studied in this investigation and appear in GSE36641. This did not involve re-sequencing or re-alignment, nor any other deviation from the data protocols in that series. Refer to individual Series

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