A facile, rapid, high-throughput extracellular vesicles analytical platform for cancer detection
A facile, rapid, high-throughput extracellular vesicles analytical platform for cancer detection
复制标题
用于癌症检测的简便、快速、高通量的细胞外囊泡分析平台
DOI：
10.1016/j.aca.2020.08.053
复制
发表时间：
2020-11-22
影响因子：
6.2
通讯作者：
Liu, Fei
中科院分区：
文献类型：
--
作者：
Deng, Zaian;Wang, Yong;Liu, Fei
细胞来源的纳米颗粒，即所谓的细胞外囊泡（EVs），可以反映供体细胞的生理或病理状况，并可以为癌症的非侵入性诊断提供有前途的生物标志物。基于大小的纯化方法是从生物样品中快速提取EV的常用策略之一，但在EV富集的高纯度和高产率方面，下游临床研究仍然存在挑战。在这里，这些挑战可以通过开发阵列式外泌体纯化和操作系统（Exo-POS）来实现，该系统用于从复杂的生物流体中有效地分离EV。在30分钟内成功地从供体中分离出平均尺寸约为170 nm的人尿EV，并且可平行进行单个样品的纯化。与超滤法相比，Exo-POS法纯化的样品可检测到EV特异性生物标志物，且蛋白质杂质较少。结果还证明了Exo-POS区分癌症患者和健康对照的EV衍生的蛋白质组和基因组表达的巨大纯化能力。开发的平台可以很容易地从生物样品中检索EV用于下游分析，证明了其在快速临床诊断和生物标志物发现方面的潜力。(C)2020爱思唯尔B. V.保留所有权利。
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.