Co-Enrichment of Proteins in Extracellular Vesicles

TL;DR

This study introduces a novel pairwise protein co-enrichment measurement in extracellular vesicles, revealing insights into EV biogenesis pathways and potential biomarkers, with implications for cell physiology and EV manufacturing quality control.

Contribution

It defines and validates the CoEn and dCoEn metrics for analyzing protein associations in EVs, providing a new tool to study EV biogenesis and cell physiology.

Findings

CoEn and dCoEn quantify protein associations and changes under different conditions.

dCoEn detects expected and novel alterations in EV protein profiles.

CoEn patterns vary across cell lines, indicating biological diversity.

Abstract

Extracellular vesicles (EVs) are cell-derived secretions that mediate tissue homeostasis and intercellular communication through their diverse cargos, such as proteins. Distinct EV biogenesis pathways suggest specific association and co-enrichment of proteins sharing a biogenesis pathway, and non-association and co-depletion of proteins segregated into distinct pathways. Yet these associations elude conventional protein expression or co-expression measurements. Here, we propose and define pairwise protein co-enrichment (CoEn) to quantify whether a given protein is co-enriched or co-depleted with another protein relative to its overall expression. We measure CoEn, and differential CoEn (dCoEn) between a stimulus and a reference condition, of up to 240 protein pairs in EVs using antibody microarrays. We validate CoEn by modulating well-known EV biogenesis pathways, and find that dCoEn quantifies expected changes between perturbed and reference conditions while uncovering new ones; CoEn and dCoEn in three model cell lines and parental and organotropic breast cancer progeny cell lines reveals both preserved and variable CoEn that may warrant further studies. Collectively, our result suggest that CoEn reflects and illuminates cell physiology and EV biogenies, is readily measurable, and could further serve as quality control in EV biomanufacturing as well as underpin new EV biomarkers.