Extracellular vesicle isolation and counting system (EVics) based on simultaneous tandem tangential flow filtration and large field‐of‐view light scattering

Author:

Bae Ju‐Hyun1,Lee Chan‐Hyeong1,Jung Dokyung1ORCID,Yea Kyungmoo23,Song Byoung‐Joon4,Lee Hakho56,Baek Moon‐Chang1ORCID

Affiliation:

1. Department of Molecular Medicine, CMRI, Exosome Convergence Research Center (ECRC) School of Medicine, Kyungpook National University Daegu Republic of Korea

2. Department of New Biology DGIST Daegu Republic of Korea

3. New Biology Research Center DGIST Daegu Republic of Korea

4. Section of Molecular Pharmacology and Toxicology, Laboratory of Membrane Biochemistry and Biophysics National Institute on Alcohol Abuse and Alcoholism, NIH Bethesda Maryland USA

5. Center for Systems Biology, Massachusetts General Hospital Harvard Medical School Boston Massachusetts USA

6. Department of Radiology, Massachusetts General Hospital Harvard Medical School Boston Massachusetts USA

Abstract

AbstractAlthough the isolation and counting of small extracellular vesicles (sEVs) are essential steps in sEV research, an integrated method with scalability and efficiency has not been developed. Here, we present a scalable and ready‐to‐use extracellular vesicle (EV) isolation and counting system (EVics) that simultaneously allows isolation and counting in one system. This novel system consists of (i) EVi, a simultaneous tandem tangential flow filtration (TFF)‐based EV isolation component by applying two different pore‐size TFF filters, and (ii) EVc, an EV counting component using light scattering that captures a large field‐of‐view (FOV). EVi efficiently isolated 50–200 nm‐size sEVs from 15 µL to 2 L samples, outperforming the current state‐of‐the‐art devices in purity and speed. EVc with a large FOV efficiently counted isolated sEVs. EVics enabled early observations of sEV secretion in various cell lines and reduced the cost of evaluating the inhibitory effect of sEV inhibitors by 20‐fold. Using EVics, sEVs concentrations and sEV PD‐L1 were monitored in a 23‐day cancer mouse model, and 160 clinical samples were prepared and successfully applied to diagnosis. These results demonstrate that EVics could become an innovative system for novel findings in basic and applied studies in sEV research.

Publisher

Wiley

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