A facile, rapid, high-throughput extracellular vesicles analytical platform for cancer detection

Cell-derived nanoparticles, so called Extracellular Vesicles (EVs), can reflect the physiological or pathological conditions of donor cells and can provide promising biomarkers for the non-invasive diagnosis of cancers. Size-based purification method is one of the common strategies for rapid extract...

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Veröffentlicht in:Analytica chimica acta 2020-11, Vol.1138, p.132-140
Hauptverfasser: Deng, Zaian, Wang, Yong, Hu, Liang, Zhu, Qingfu, Chen, Yuchao, Chen, Jeff J., Chen, Joyce, Zhang, Ting, Seo, Tae Seok, Liu, Fei
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Sprache:eng
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Zusammenfassung:Cell-derived nanoparticles, so called Extracellular Vesicles (EVs), can reflect the physiological or pathological conditions of donor cells and can provide promising biomarkers for the non-invasive diagnosis of cancers. Size-based purification method is one of the common strategies for rapid extracting EVs from biosamples, but the downstream clinical studies still remain challenges in EV enrichment with high purity and high yield. Here, such challenges could be fulfilled through the development of an arrayed Exosome Purification and Operation System (Exo-POS) for efficiently isolating EVs from complex biofluids. Human urinary EVs with mean size of approximately 170 nm were isolated successfully from donors within 30 min, and the purification of individual samples were performable in parallel. Samples purified by Exo-POS showed detectable EV-specific biomarkers and less protein impurities than that by ultrafiltration method. The results also demonstrate the great purification ability of Exo-POS to discriminate between the EV-derived proteomic and genomic expressions of cancer patients and healthy controls. The developed platform can easily be adapted to retrieve EVs from biological samples for the downstream analysis, demonstrating its potential for both rapid clinical diagnosis and biomarker discovery. [Display omitted] •Exo-POS is easy to use and can extract extracellular vesicles rapidly (
ISSN:0003-2670
1873-4324
DOI:10.1016/j.aca.2020.08.053