Quantification of protein cargo loading into engineered extracellular vesicles at single-vesicle and single-molecule resolution

Extracellular Vesicles (EVs) have been intensively explored for therapeutic delivery of proteins. However, methods to quantify cargo proteins loaded into engineered EVs are lacking. Here, we describe a workflow for EV analysis at the single-vesicle and single-molecule level to accurately quantify the efficiency of different EV-sorting proteins in promoting cargo loading into EVs. Expi293F cells were engineered to express EV-sorting proteins fused to green fluorescent protein (GFP). High levels of GFP loading into secreted EVs was confirmed by Western blotting for specific EV-sorting domains, but quantitative single-vesicle analysis by Nanoflow cytometry detected GFP in less than half of the particles analysed, reflecting EV heterogeneity. Anti-tetraspanin EV immunostaining in ExoView confirmed a heterogeneous GFP distribution in distinct subpopulations of CD63(+), CD81(+), or CD9(+) EVs. Loading of GFP into individual vesicles was quantified by Single-Molecule Localization Microscopy. The combined results demonstrated TSPAN14, CD63 and CD63/CD81 fused to the PDGFR beta transmembrane domain as the most efficient EV-sorting proteins, accumulating on average 50-170 single GFP molecules per vesicle. In conclusion, we validated a set of complementary techniques suitable for high-resolution analysis of EV preparations that reliably capture their heterogeneity, and propose highly efficient EV-sorting proteins to be used in EV engineering applications.

Automated summary

This study introduced a workflow for accurately quantifying the efficiency of different EV-sorting proteins in promoting cargo loading into EVs. By using a combination of techniques, TSPAN14, CD63, and CD63/CD81 fused to the PDGFR beta transmembrane domain were identified as the most efficient EV-sorting proteins, accumulating an average of 50-170 single GFP molecules per vesicle.