4.7 Article

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

期刊

ANALYTICA CHIMICA ACTA
卷 1138, 期 -, 页码 132-140

出版社

ELSEVIER
DOI: 10.1016/j.aca.2020.08.053

关键词

Exosome purification and operation system(Exo-POS); Tumor-derived extracellular vesicles; Non-invasive diagnosis

资金

  1. National Natural Science Foundation of China [31741036, 31700702, 21904098]
  2. Zhejiang Provincial and Ministry of Health Research Fund for Medical Sciences [WKJ-ZJ-1910]
  3. Wenzhou Medical University [89218012, 89219012]
  4. Wenzhou Institute of Biomaterials and Engineering [WIBEZD2017006-05]
  5. Natural Science Foundation of Top Talent of SZTU [2020109]

向作者/读者索取更多资源

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. (C) 2020 Elsevier B.V. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据