Nano-Flow Cytometry of Single Extracellular Vesicles Reveals Subpopulation Differences Across Cell Types and Pharmacological Perturbations

纳米流式细胞术分析单个细胞外囊泡揭示了不同细胞类型和药理学扰动下的亚群差异

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Abstract

Extracellular vesicles (EVs) are lipid bilayer-enclosed particles released by most cell types, which can transfer signals and cargoes between cells. EVs released by a single donor cell source are increasingly recognised as extremely heterogeneous in terms of size, intracellular origin, and cargo composition. Analysing large numbers of EVs at the single vesicle level is therefore the only way to truly decipher their heterogeneity. Here, we developed a reliable pipeline of single EV analysis using a nanoparticle-dedicated flow cytometer (Flow NanoAnalyzer, nanofcm), which detects particles smaller than 200 nm in diameter, without the need for vesicle pre-immobilisation or fluorescent labels. We show that titrating each antibody, eliminating unbound antibodies and using EVs devoid of the analysed markers as negative controls are required to reliably quantify the proportion of EVs bearing none or any combination of two markers. We thus observed, depending on the cell source (human cell lines MDA-MB-231, HeLa, A549), variable proportions of EVs bearing none of the CD9, CD81 and CD63 tetraspanins often used to define EVs, and of single- and double-positive EVs for each of these markers. For MDA-MB-231, we also observed CD29 (ITGB1) as a protein detected as frequently on EVs as CD9, while other transmembrane proteins (CD44, CD98), and a ganglioside (SSEA-4) were detected in a small proportion of EVs, and mostly of relatively large size. Finally, we used this pipeline to uncover differential effects of small molecule drugs on subtypes of EVs, and showed that Homosalate increased the proportion of CD9+/CD63+ EVs while two other drugs, Dipivefrin hydrochloride and Metaraminol bitartrate, instead increased the proportion of CD9-/CD63+ EVs. Overall, nano-flow cytometry allows us to reliably quantify proportions of EV subpopulations suggested by bulk analyses of EV markers, at single EV resolution.

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