MassIVE MSV000085611

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Proteomic assessment of serum biomarkers of longevity in older men

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Description

We utilized a high throughput discovery-based proteomics platform to identify serum peptides and proteins that were associated with the attainment of longevity in a longitudinal study of community-dwelling men age 65 years or older. Baseline serum in 1196 men were analyzed using liquid chromatography-ion mobility-mass spectrometry, and lifespan was determined during ~12 years of follow-up. Men who achieved longevity (>90% expected survival) were compared to those who died earlier. [doi:10.25345/C54D99] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: longevity ; proteome ; serum

Contact

Principal Investigators:
(in alphabetical order) 		Eric Orwoll, OHSU, United States
Submitting User: alchemistmatt

Publications

Eric S Orwoll, Jack Wiedrick, Jon Jacobs, Erin S Baker, Paul Piehowski, Vladislav Petyuk, Yuqian Gao, Tujin Shi, Richard D Smith, Douglas C Bauer, Steven R Cummings, Carrie M Nielson, Jodi Lapidus, Osteoporotic Fractures in Men Study (MrOS) Research Group.
High-throughput Serum Proteomics for the Identification of Protein Biomarkers of Mortality in Older Men.
2018 Apr;17(2):e12717. doi: 10.1111/acel.12717.

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Number of distinct biological replicates across all analyses (original submission and reanalyses) associated with this dataset.

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Number of distinct technical replicates across all analyses (original submission and reanalyses) associated with this dataset.

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Originally identified proteins that were automatically remapped by MassIVE to proteins in the SwissProt human reference database.

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Number of distinct protein accessions reported across all analyses (original submission and reanalyses) associated with this dataset.

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Number of distinct unmodified peptide sequences reported across all analyses (original submission and reanalyses) associated with this dataset.

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Number of distinct peptide sequences (including modified variants or peptidoforms) reported across all analyses (original submission and reanalyses) associated with this dataset.

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Total number of peptide-spectrum matches (i.e. spectrum identifications) reported across all analyses (original submission and reanalyses) associated with this dataset.

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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.

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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.