纳米颗粒深度表征的流式细胞术程序。

IF 2.5 Q3 BIOCHEMICAL RESEARCH METHODS
Biology Methods and Protocols Pub Date : 2025-03-11 eCollection Date: 2025-01-01 DOI:10.1093/biomethods/bpaf019
Valentina Tirelli, Felicia Grasso, Valeria Barreca, Deborah Polignano, Alessandra Gallinaro, Andrea Cara, Massimo Sargiacomo, Maria Luisa Fiani, Massimo Sanchez
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引用次数: 0

摘要

近年来,人们对包括细胞外囊泡(EVs)和病毒在内的纳米颗粒的鉴定和定量越来越感兴趣。这些粒子的纳米尺寸带来的挑战使得精确的检查成为一项重要的任务。在准确研究ev的各种技术中,流式细胞术是最理想的方法。它具有灵敏度高、耗时低、无损采样和高通量等特点。在本文中,我们提出了流式细胞术程序的优化,以鉴定,量化和纯化ev和病毒样颗粒。该方案旨在减少由蜂群效应引起的纳米粒子计数中的伪影和错误。比较不同阈值策略以确保结果的特异性。此外,还确定了在常规实验环境之外使用常规流式细胞术时要考虑的关键参数。最后,还开发了荧光- ev分选方案,使用传统的细胞分选器获得了高度可靠的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Flow cytometric procedures for deep characterization of nanoparticles.

In recent years, there has been a notable increasing interest surrounding the identification and quantification of nano-sized particles, including extracellular vesicles (EVs) and viruses. The challenge posed by the nano-sized dimension of these particles makes precise examination a significant undertaking. Among the different techniques for the accurate study of EVs, flow cytometry stands out as the ideal method. It is characterized by high sensitivity, low time consumption, non-destructive sampling, and high throughput. In this article, we propose the optimization of flow cytometry procedures to identify, quantify, and purify EVs and virus-like particles. The protocol aims to reduce artefacts and errors in nano-sized particles counting, overall caused by the swarming effect. Different threshold strategies were compared to ensure result specificity. Additionally, the critical parameters to consider when using conventional flow cytometry outside of the common experimental context of use have also been identified. Finally, fluorescent-EVs sorting protocol was also developed with highly reliable results using a conventional cell sorter.

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来源期刊
Biology Methods and Protocols
Biology Methods and Protocols Agricultural and Biological Sciences-Agricultural and Biological Sciences (all)
CiteScore
3.80
自引率
2.80%
发文量
28
审稿时长
19 weeks
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