纳米结构使细胞外囊泡分离和检测成为可能

Xinyuan He, Wei Wei, Xuexin Duan
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摘要

细胞外囊泡(EVs)由于其重要的生物学功能,包括细胞间通讯,近年来引起了人们的广泛关注。ev是一种由大多数细胞分泌到细胞外空间的膜囊泡。在EVs中发现的一些生物分子,如蛋白质、microRNA和DNA,与人类恶性肿瘤的发病机制密切相关,使EVs成为疾病诊断、治疗和预后的有价值的生物标志物。因此,EV的分离与检测是为临床研究提供重要信息的前提。传统分离方法的缺点是纯度低,而且需要繁琐和长时间的操作。此外,检测方法需要训练有素的操作人员,并且存在操作费用高、灵敏度和特异性低等挑战。在过去的十年中,基于纳米结构的EV分离和检测平台已经出现。本文综述了基于纳米结构的EV分离和检测技术的最新进展。首先,介绍了基于膜、纳米线、纳米尺度确定性横向位移和表面修饰的纳米结构。其次,描述了基于声电场结合纳米结构的电动汽车高通量分离。第三,总结了纳米结构与免疫荧光、表面等离子体共振、表面增强拉曼散射、电化学检测或压电传感器相结合的高精度EV分析技术。最后,探讨了纳米结构检测单个电动汽车的潜力,旨在为基于纳米结构的电动汽车分离和检测技术的进一步发展提供见解。
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Nanostructure enabled extracellular vesicles separation and detection
Extracellular vesicles (EVs) have recently attracted significant research attention owing to their important biological functions, including cell-to-cell communication. EVs are a type of membrane vesicles that are secreted into the extracellular space by most types of cells. Several biological biomolecules found in EVs, such as proteins, microRNA, and DNA, are closely related to the pathogenesis of human malignancies, making EVs valuable biomarkers for disease diagnosis, treatment, and prognosis. Therefore, EV separation and detection are prerequisites for providing important information for clinical research. Conventional separation methods suffer from low levels of purity, as well as the need for cumbersome and prolonged operations. Moreover, detection methods require trained operators and present challenges such as high operational expenses and low sensitivity and specificity. In the past decade, platforms for EV separation and detection based on nanostructures have emerged. This article reviews recent advances in nanostructure-based EV separation and detection techniques. First, nanostructures based on membranes, nanowires, nanoscale deterministic lateral displacement, and surface modification are presented. Second, high-throughput separation of EVs based on nanostructures combined with acoustic and electric fields is described. Third, techniques combining nanostructures with immunofluorescence, surface plasmon resonance, surface-enhanced Raman scattering, electrochemical detection, or piezoelectric sensors for high-precision EV analysis are summarized. Finally, the potential of nanostructures to detect individual EVs is explored, with the aim of providing insights into the further development of nanostructure-based EV separation and detection techniques.
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