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Kim, Dong Young
인공지능 및 로봇 기반 합성 연구단
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EV-Ident: Identifying Tumor-Specific Extracellular Vesicles by Size Fractionation and Single-Vesicle Analysis

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Title
EV-Ident: Identifying Tumor-Specific Extracellular Vesicles by Size Fractionation and Single-Vesicle Analysis
Author(s)
Dongyoung Kim; Hyun-Kyung Woo; Chaeeun Lee; Yoohong Min; Sumit Kumar; Vijaya Sunkara; Hwi Gyeong Jo; Young Joo Lee; Jisun Kim; Hong Koo Ha; Yoon-Kyoung Cho
Subject
PROSTATE-CANCER, ; BREAST-CANCER, ; EXOSOMES, ; BIOGENESIS, ; SECRETION, ; LEVEL
Publication Date
2020-04
Journal
Analytical Chemistry, v.92, no.8, pp.6010 - 6018
Publisher
ACS Publications
Abstract
© 2020 American Chemical Society. Tumor-derived extracellular vesicles (EVs) have emerged as a promising source of circulating biomarkers for liquid biopsies. However, understanding the heterogeneous physical and biochemical properties of EVs originating from multiple complex biogenesis pathways remains a major challenge. Here, we introduce EV-Ident for preparation of subpopulations of EVs in three different size fractions: large EVs (EV200 nm; 200-1000 nm), medium EVs (EV100 nm; 100-200 nm), and small EVs (EV20 nm; 20-100 nm). Furthermore, this technology enables the in situ labeling of fluorescence markers for the protein profiling of individual EVs. As a proof-of-concept, we analyzed the presence of human epidermal growth factor receptor 2 (HER2) and prostate-specific membrane antigen (PSMA) in breast cancer and prostate cancer cell-derived EVs, respectively, using three different size fractions at the single-EV level. By reducing the complexity of EV heterogeneity in each size fraction, we found that HER2-positive breast cancer cells showed the greatest expression of HER2 in EV20 nm, whereas PSMA expression was the highest in EV200 nm derived from PSMA-expressing prostate cancer cells. This increase in HER2 expression in EV20 nm and PSMA expression in EV200 nm was further confirmed in plasma-derived nanoparticles (PNPs) obtained from breast and prostate cancer patients, respectively. Our study demonstrates that single-EV analysis using EV-Ident provides a practical way to understand EV heterogeneity and to successfully identify potent subpopulation of EVs for breast and prostate cancer, which has promising translational implications for cancer theranostics. Furthermore, these findings have the potential to address fundamental questions surrounding the biology and clinical applications of EVs
URI
https://pr.ibs.re.kr/handle/8788114/8647
DOI
10.1021/acs.analchem.0c00285
ISSN
0003-2700
Appears in Collections:
Center for Soft and Living Matter(첨단연성물질 연구단) > 1. Journal Papers (저널논문)
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