MassIVE MSV000097888

Partial Public PXD063924

Unveiling Proteomic and Peptide-Level Modifications in Cerebrospinal Fluid and Plasma in Normal Cognitive Aging

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Description

This study presents a comprehensive proteomic and peptide level analysis of matched cerebrospinal fluid (CSF) and plasma samples from cognitively normal young (n=52) and older (n=40) adults, employing mass spectrometry to elucidate protein-level and peptide-level changes associated with normal cognitive aging. Differential abundance analysis revealed significant upregulation of extracellular matrix components (ECM), coagulation, and inflammatory pathways in CSF and downregulation of insulin-like growth factor-1 (IGF-1) signaling pathway in plasma with aging based on gene set enrichment and weighted correlation network analyses. Novel alternative protein cleavage/splicing and phosphorylation patterns were identified in many proteins involved in lipid metabolism, ECM structure, axonogenesis and synaptic activity such as APP, APOE, COL4A2, NRXN1, and NRCAM. The examination of alternative cleavage/splicing and phosphorylation events in CSF and plasma provided unprecedented insights into age-associated protein modifications. These findings offer potential biomarkers and therapeutic targets and highlight the complex molecular landscape of normal cognitive aging. [doi:10.25345/C5ZC7S677] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: cerebrospinal fluid, plasma, normal cognitive aging, DIA mass spectrometry, data-independent acquisition, deep proteomics, peptide-level analysis, alternative cleavage, alternative splicing ; DatasetType:Proteomics

Contact

Principal Investigators:
(in alphabetical order) 		Abhay Moghekar, Johns Hopkins University, USA
Roland Bruderer, Biognosys AG, Switzerland
Submitting User: roland_bruderer
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Distinct condition labels are counted across all files submitted in the "Metadata" category having a "Condition" column in this dataset.

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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.