Author: Silva, Andreia M.; Lázaroâ€Ibáñez, Elisa; Gunnarsson, Anders; Dhande, Aditya; Daaboul, George; Peacock, Ben; Osteikoetxea, Xabier; Salmond, Nikki; Friis, Kristina Pagh; Shatnyeva, Olga; Dekker, Niek
Title: Quantification of protein cargo loading into engineered extracellular vesicles at singleâ€vesicle and singleâ€molecule resolution Cord-id: pmpvpykr Document date: 2021_8_2
ID: pmpvpykr
Snippet: 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 singleâ€vesicle and singleâ€molecule level to accurately quantify the efficiency of different EVâ€sorting proteins in promoting cargo loading into EVs. Expi293F cells were engineered to express EVâ€sorting proteins fused to green fluorescent protein (GFP). High
Document: 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 singleâ€vesicle and singleâ€molecule level to accurately quantify the efficiency of different EVâ€sorting proteins in promoting cargo loading into EVs. Expi293F cells were engineered to express EVâ€sorting proteins fused to green fluorescent protein (GFP). High levels of GFP loading into secreted EVs was confirmed by Western blotting for specific EVâ€sorting domains, but quantitative singleâ€vesicle analysis by Nanoflow cytometry detected GFP in less than half of the particles analysed, reflecting EV heterogeneity. Antiâ€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 Singleâ€Molecule Localization Microscopy. The combined results demonstrated TSPAN14, CD63 and CD63/CD81 fused to the PDGFRβ transmembrane domain as the most efficient EVâ€sorting proteins, accumulating on average 50–170 single GFP molecules per vesicle. In conclusion, we validated a set of complementary techniques suitable for highâ€resolution analysis of EV preparations that reliably capture their heterogeneity, and propose highly efficient EVâ€sorting proteins to be used in EV engineering applications.
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