See the Unseen: Rapid, Multiparametric Single-Particle Analysis of Extracellular Vesicles With Nano-Flow Cytometry

IF 4.1 4区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS
Proteomics Pub Date : 2026-05-28 Epub Date: 2025-11-10 DOI:10.1002/pmic.70078
Yunyun Hu, Qiujin Wu, Junyan Chen, Xin Chen, Haonan Di, Xiaomei Yan
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引用次数: 0

Abstract

Extracellular vesicles (EVs) are heterogeneous lipid membrane-bound nanoparticles that carry diverse biomolecular cargos, including proteins, nucleic acids, lipids, and metabolites. Serving as fundamental mediators of intercellular communication in both physiological and pathological contexts, EVs have become a central focus in basic and translational research. Their participation in diverse biological processes—from immune regulation and tissue homeostasis to cancer progression and neurodegenerative diseases—highlights their dual functional roles. However, the intrinsic heterogeneity of EVs poses significant challenges for accurate characterization using conventional ensemble-averaging methods. Nano-flow cytometry (nFCM) represents a transformative technological advancement for single-particle EV analysis, offering high sensitivity, throughput, and multiparametric detection capabilities. This review first examines recent progress in nFCM instrumentation that improves sensitivity and resolution. We then summarize key applications of nFCM in uncovering previously inaccessible biophysical and biochemical characteristics of EVs at the single-particle level. Finally, we discuss current limitations hindering broader implementation and outline future directions to advance the field.

看不见的:快速,多参数单粒子分析细胞外囊泡与纳米流式细胞术。
细胞外囊泡(EVs)是异质脂质膜结合的纳米颗粒,携带多种生物分子货物,包括蛋白质、核酸、脂质和代谢物。作为生理和病理背景下细胞间通讯的基本介质,ev已成为基础和转化研究的中心焦点。它们参与多种生物过程-从免疫调节和组织稳态到癌症进展和神经退行性疾病-突出了它们的双重功能作用。然而,电动汽车固有的异质性给传统的整体平均方法的准确表征带来了重大挑战。纳米流式细胞术(nFCM)代表了单颗粒EV分析的变革性技术进步,提供高灵敏度,吞吐量和多参数检测能力。本文首先考察了nFCM仪器在提高灵敏度和分辨率方面的最新进展。然后,我们总结了nFCM在揭示电动汽车单颗粒水平的生物物理和生化特性方面的关键应用。最后,我们讨论了目前阻碍更广泛实施的限制,并概述了未来推进该领域的方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Proteomics
Proteomics 生物-生化研究方法
CiteScore
6.30
自引率
5.90%
发文量
193
审稿时长
3 months
期刊介绍: PROTEOMICS is the premier international source for information on all aspects of applications and technologies, including software, in proteomics and other "omics". The journal includes but is not limited to proteomics, genomics, transcriptomics, metabolomics and lipidomics, and systems biology approaches. Papers describing novel applications of proteomics and integration of multi-omics data and approaches are especially welcome.
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