A proteomic meta-analysis refinement of plasma extracellular vesicles.
Sci Data
; 10(1): 837, 2023 11 28.
Article
in En
| MEDLINE
| ID: mdl-38017024
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 ß 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.
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Proteomics
/
Extracellular Vesicles
Type of study:
Systematic_reviews
Limits:
Animals
/
Humans
Language:
En
Journal:
Sci Data
Year:
2023
Document type:
Article
Affiliation country:
Estados Unidos