MassIVE MSV000098417

Imported Reanalysis Dataset Public PXD016199

Age-Dependent Changes in the Plasma Proteome of Healthy Adults

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Description

Human blood plasma is a complex which communicates with most parts of the body and reflects changes in the state of the organism, therefore identifying age-related biomarkers can help to predict and monitor age-related physiological decline and diseases, as well as to find new treatments for diseases. In this study, TMT-LC-MS/MS was utilized to screen for the differentially expressed plasma proteins in 118 healthy adults with different ages. Participants were divided into three groups: 21-30 (Young), 41-50 (Middle) and ?60 (Old), the number of differentially expressed proteins when Young vs Middle, Middle vs Old and Young vs Old were 82, 22 and 99, respectively. These proteins were found to be involved in numerous physiological processes such as “negative regulation of smooth muscle cell proliferation” and “blood coagulation”. Meanwhile when Young vs Middle or Old, “Complement and coagulation cascades” was confirmed the top enriched pathway by KEGG pathway enrichment analysis. Functional phenotyping of the proteome demonstrated that the plasma proteomic profiles of Young adults were strikingly dissimilar to the Middle or Old adults. The results of this study mapped the variation in expression of plasma proteins, and provided information about possible biomarkers/treatments for different kinds of age-related function disorders. [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: Aging ; healthy adults ; plasma ; proteomics ; tmt-lc-ms/ms ; DatasetType:Proteomics

Contact

Principal Investigators:
(in alphabetical order) 		Xiaoyi Xiong, Department of Neurology, The Second Affiliated Hospital (Xinqiao Hospital), Army Medical University (Third Military Medical University), Chongqing 400037, China, N/A
Submitting User: ccms
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Experimental Design
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Identification Results
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Quantification Results
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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.

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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.

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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.

"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.