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.
[doi:10.25345/C5RK87]
[dataset license: CC0 1.0 Universal (CC0 1.0)]
Keywords: senescence ; data-independent acquisition ; secretome ; sasp ; senescence-associated secretory phenotype ; aging ; biomarker
Contact
Principal Investigators:
(in alphabetical order)
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Birgit Schilling, The Buck Institute for Research on Aging, USA
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Submitting User: |
nbasisty
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Number of distinct conditions across all analyses (original submission and reanalyses)
associated with this dataset.
Distinct condition labels are counted across all files submitted in the "Metadata" category
having a "Condition" column in this dataset.
"N/A" means no results of this type were submitted.
Number of distinct biological replicates across all analyses (original submission and reanalyses)
associated with this dataset.
Distinct replicate labels are counted across all files submitted in the "Metadata" category
having a "BioReplicate" or "Replicate" column in this dataset.
"N/A" means no results of this type were submitted.
Number of distinct technical replicates across all analyses (original submission and reanalyses)
associated with this dataset.
The technical replicate count is defined as the maximum number of times any one distinct
combination of condition and biological replicate was analyzed across all files submitted in the
"Metadata" category. In the case of fractionated experiments, only the first fraction is
considered.
"N/A" means no results of this type were submitted.
Originally identified proteins that were automatically
remapped by MassIVE to proteins in the
SwissProt
human reference database.
"N/A" means no results of this type were submitted.
Number of distinct protein accessions reported across all analyses (original submission and
reanalyses) associated with this dataset.
"N/A" means no results of this type were submitted.
Number of distinct unmodified peptide sequences reported across all analyses (original
submission and reanalyses) associated with this dataset.
"N/A" means no results of this type were submitted.
Number of distinct peptide sequences (including modified variants or peptidoforms) reported
across all analyses (original submission and reanalyses) associated with this dataset.
"N/A" means no results of this type were submitted.
Total number of peptide-spectrum matches (i.e. spectrum identifications) reported across all
analyses (original submission and reanalyses) associated with this dataset.
"N/A" means no results of this type were submitted.
Number of distinct proteins quantified across all analyses (original submission and reanalyses)
associated with this dataset.
Distinct protein accessions are counted across all files submitted in the "Statistical Analysis
of Quantified Analytes" category having a "Protein" column in this dataset.
"N/A" means no results of this type were submitted.
Number of distinct proteins found to be differentially abundant in at least one comparison
across all analyses (original submission and reanalyses) associated with this dataset.
A protein is differentially abundant if its change in abundance across conditions is found
to be statistically significant with an adjusted p-value <= 0.05 and lists no issues associated
with statistical tests for differential abundance.
Distinct protein accessions are counted across all files submitted in the "Statistical Analysis
of Quantified Analytes" category having a "Protein" column in this dataset.
"N/A" means no results of this type were submitted.
This dataset may not contain all raw spectra data as originally deposited in PRIDE.
It has been imported to MassIVE for reanalysis purposes, so its spectra data here may
consist solely of processed peak lists suitable for reanalysis with most software.