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A proteomic meta-analysis refinement of plasma extracellular vesicles
- Source :
- Scientific Data, Vol 10, Iss 1, Pp 1-14 (2023)
- Publication Year :
- 2023
- Publisher :
- Nature Portfolio, 2023.
-
Abstract
- Abstract Extracellular vesicles play major roles in cell-to-cell communication and are excellent biomarker candidates. However, studying plasma extracellular vesicles is challenging due to contaminants. Here, we performed a proteomics meta-analysis of public data to refine the plasma EV composition by separating EV proteins and contaminants into different clusters. We obtained two clusters with a total of 1717 proteins that were depleted of known contaminants and enriched in EV markers with independently validated 71% true-positive. These clusters had 133 clusters of differentiation (CD) antigens and were enriched with proteins from cell-to-cell communication and signaling. We compared our data with the proteins deposited in PeptideAtlas, making our refined EV protein list a resource for mechanistic and biomarker studies. As a use case example for this resource, we validated the type 1 diabetes biomarker proplatelet basic protein in EVs and showed that it regulates apoptosis of β cells and macrophages, two key players in the disease development. Our approach provides a refinement of the EV composition and a resource for the scientific community.
- Subjects :
- Science
Subjects
Details
- Language :
- English
- ISSN :
- 20524463
- Volume :
- 10
- Issue :
- 1
- Database :
- Directory of Open Access Journals
- Journal :
- Scientific Data
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.7d72d2c446c44ff926f2c19bd0e61eb
- Document Type :
- article
- Full Text :
- https://doi.org/10.1038/s41597-023-02748-1