Author:
Jang Minjeong,Choi Giwoong,Choi Yoon Young,Lee Jae Eun,Jung Jik-Han,Oh Seung Won,Han Dai Hoon,Lee Haeshin,Park Ji-Ho,Cheong Jae-Ho,Kim Pilnam
Abstract
AbstractSmall extracellular vesicles (EVs), including exosomes, in body fluids have important applications in the noninvasive liquid biopsy-based diagnosis of cancer. Current EV-based diagnostic techniques still face practical challenges, such as inefficient EV isolation. Here, we report an efficient, resource-free pre-enrichment approach using (–)-epigallocatechin-3-gallate (EGCG), a polyphenolic biomolecule, to isolate and detect exosomal microRNAs (miRNAs) in human blood plasma samples. Our system comprises three steps: (1) EGCG-mediated EV aggregation, (2) filter-based EV isolation, and (3) molecular beacon-based detection of target miRNA in EVs. Using blood samples from cancer patients with gastric cancer or hepatocellular carcinoma, we constructed an EGCG-assisted miRNA diagnostic system. For both cancers, the levels of target miRNAs (miR-21, -27a, and -375) in EVs were strongly correlated with those in the publicly available GEO database. Our approach, an easy-to-use method for efficient EV isolation and the detection of miRNA in clinical samples, is applicable for molecular diagnostics in precision medicine.
Funder
National Research Foundation of Korea
Ministry of Science, ICT and Future Planning
Korea Health Industry Development Institute
Publisher
Springer Science and Business Media LLC
Subject
Condensed Matter Physics,General Materials Science,Modelling and Simulation,Condensed Matter Physics,General Materials Science,Modelling and Simulation
Cited by
15 articles.
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