Extracellular vesicle (EV)-polyphenol nanoaggregates for microRNA-based cancer diagnosis

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dc.contributor.authorJang, Minjeongko
dc.contributor.authorChoi, Giwoongko
dc.contributor.authorChoi, Yoon Youngko
dc.contributor.authorLee, Jae Eunko
dc.contributor.authorJung, Jik-Hanko
dc.contributor.authorOh, Seung Wonko
dc.contributor.authorHan, Dai Hoonko
dc.contributor.authorLee, Haeshinko
dc.contributor.authorPark, Ji-Hoko
dc.contributor.authorCheong, Jae-Hoko
dc.contributor.authorKim, Pilnamko
dc.date.accessioned2019-12-31T01:20:23Z-
dc.date.available2019-12-31T01:20:23Z-
dc.date.created2019-12-30-
dc.date.created2019-12-30-
dc.date.issued2019-12-
dc.identifier.citationNPG ASIA MATERIALS, v.11-
dc.identifier.issn1884-4049-
dc.identifier.urihttp://hdl.handle.net/10203/270802-
dc.description.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.-
dc.languageEnglish-
dc.publisherNATURE PUBLISHING GROUP-
dc.titleExtracellular vesicle (EV)-polyphenol nanoaggregates for microRNA-based cancer diagnosis-
dc.typeArticle-
dc.identifier.wosid000502984500003-
dc.identifier.scopusid2-s2.0-85076373879-
dc.type.rimsART-
dc.citation.volume11-
dc.citation.publicationnameNPG ASIA MATERIALS-
dc.identifier.doi10.1038/s41427-019-0184-0-
dc.contributor.localauthorLee, Haeshin-
dc.contributor.localauthorPark, Ji-Ho-
dc.contributor.localauthorKim, Pilnam-
dc.contributor.nonIdAuthorChoi, Giwoong-
dc.contributor.nonIdAuthorChoi, Yoon Young-
dc.contributor.nonIdAuthorLee, Jae Eun-
dc.contributor.nonIdAuthorOh, Seung Won-
dc.contributor.nonIdAuthorHan, Dai Hoon-
dc.contributor.nonIdAuthorCheong, Jae-Ho-
dc.description.isOpenAccessY-
dc.type.journalArticleArticle-
dc.subject.keywordPlusEXOSOME ISOLATION-

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