Systematic characterization of mammalian extracellular vesicles using nano-flow cytometry

利用纳米流式细胞术对哺乳动物细胞外囊泡进行系统表征

阅读:1

Abstract

Extracellular vesicles (EVs) are nanoscale, membrane-enclosed particles that transport bioactive cargo between cells and are increasingly studied for their potential in diagnostic and therapeutic applications. Advancing EV-based technologies for these applications depend on the ability to consistently isolate and characterize vesicle populations with defined biophysical and molecular properties. Efforts to obtain pure EV populations from cell culture systems are limited by inherent EV heterogeneity, exogenous particle contamination introduced by media supplements, and the co-isolation of non-vesicular contaminants. These challenges are further compounded by the limitations of conventional EV characterization platforms, which often lack the resolution to distinguish EVs from similarly sized non-vesicular particles or to capture molecular heterogeneity at the single-vesicle scale. Together, these limitations highlight the need for analytical approaches capable of resolving EV heterogeneity and enabling comparisons across EV production conditions and isolation strategies. In this study, we used nano-flow cytometry (nFCM) for high-resolution analysis of individual EVs, enabling simultaneous measurement of particle size, concentration, and tetraspanin expression. This approach revealed substantial amounts of exogenous particle contamination in media supplements commonly used to culture EV-producing cells, and quantified differences in EV purity and yield between methods used to isolate EVs from the media of the producing cells. Additionally, analysis of EVs derived from HEK293T, U-87 MG, and hMSC mammalian cell cultures revealed cell type-specific differences in EV production and expression of tetraspanin markers CD9, CD63, and CD81. Collectively, these results demonstrate that careful selection of media compositions and isolation strategies, combined with nFCM analytical techniques can resolve biological differences in EV populations.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。