Issue 17, 2023

Separation and isolation of CD9-positive extracellular vesicles from plasma using flow cytometry

Abstract

Extracellular vesicles (EVs) are nanosized (∼30–1000 nm) lipid-enclosed particles released by a variety of cell types. EVs are found in biological fluids and are considered a promising material for disease detection and monitoring. Given their nanosized properties, EVs are difficult to isolate and study. In complex biological samples, this difficulty is amplified by other small particles and contaminating proteins making the discovery and validation of EV-based biomarkers challenging. Developing new strategies to isolate EVs from complex biological samples is of significant interest. Here, we evaluate the utility of flow cytometry to isolate particles in the nanoscale size range. Flow cytometry calibration was performed and 100 nm nanoparticles and ∼124 nm virus were used to test sorting capabilities in the nanoscale size range. Next, using blood plasma, we assessed the capabilities of flow cytometry sorting for the isolation of CD9-positive EVs. Using flow cytometry, CD9-positive EVs could be sorted from pre-enriched EV fractions and directly from plasma without the need for any EV pre-enrichment isolation strategies. These results demonstrate that flow cytometry can be employed as a method to isolate subpopulations of EVs from biological samples.

Graphical abstract: Separation and isolation of CD9-positive extracellular vesicles from plasma using flow cytometry

Supplementary files

Article information

Article type
Paper
Submitted
02 Feb 2023
Accepted
07 Jul 2023
First published
13 Jul 2023
This article is Open Access
Creative Commons BY license

Nanoscale Adv., 2023,5, 4435-4446

Separation and isolation of CD9-positive extracellular vesicles from plasma using flow cytometry

K. Khanna, N. Salmond, S. Halvaei, A. Johnson and K. C. Williams, Nanoscale Adv., 2023, 5, 4435 DOI: 10.1039/D3NA00081H

This article is licensed under a Creative Commons Attribution 3.0 Unported Licence. You can use material from this article in other publications without requesting further permissions from the RSC, provided that the correct acknowledgement is given.

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