Techniques to improve detection and analysis of extracellular vesicles using flow cytometry. (2nd April 2015)

• Record Type: Journal Article
• Authors: Inglis, Heather C.; Danesh, Ali; Shah, Avani; Lacroix, Jacques; Spinella, Philip C.; Norris, Philip J.
• Is Part Of: Cytometry. Volume 87:Number 11(2015)
• Page Start: 1052
• Page End: 1063
• Publication Date: 2015-04-02
• Subjects: Flow cytometry -- Periodicals; Imaging systems in biology -- Periodicals; Imaging systems in medicine -- Periodicals; Diagnostic imaging -- Periodicals; 571.605
• DOI: 10.1002/cyto.a.22649
• Languages: English
• ISSNs: 1552-4922

Abstract

<abstract abstract-type="main"> <title>Abstract</title> <p>Extracellular vesicles (EVs) range in size from 50 nm to 1 µm. Flow cytometry (FCM) is the most commonly used method for analyzing EVs; however, accurate characterization of EVs remains challenging due to their small size and lack of discrete positive populations. Here we report the use of optimization techniques that are especially well‐suited for analyzing EVs from a high volume of clinical samples. Utilizing a two pronged approach that included 1) pre‐filtration of antibodies to remove aggregates, followed by 2) detergent lysis of a replicate sample to account for remaining false positive events, we were able to effectively limit false positive non‐EV events. In addition, we show that lysed samples are a useful alternative to isotypes for setting gates to exclude background fluorescence. To reduce background, we developed an approach using filters to "wash" samples post‐staining thus providing a faster alternative to ultracentrifugation and sucrose gradient fractionation. In conclusion, use of these optimized techniques enhances the accuracy and efficiency of EV detection using FCM. © 2015 International Society for Advancement of Cytometry</p> </abstract>