Revealing the diversity of extracellular vesicles using high-dimensional flow cytometry analyses

• DOI: 10.1038/srep35928
• Publication Date: 2016-10-27T09:15:14Z
• Authors: Geneviève Marcoux; Anne-Claire Duchez; Nathalie Cloutier; Patrick Provost; Peter A. Nigrovic; Eric Boilard
• Keywords: Extracellular Vesicles; Extracellular vesicles

Abstract Extracellular vesicles (EV) are small membrane produced by cells upon activation and apoptosis. EVs heterogeneous according to their origin, mode of release, composition, organelle biochemical content, other factors. Whereas it is apparent that implicated in intercellular communication, they can also be used as biomarkers. Continuous improvements pre-analytical parameters flow cytometry permit more efficient assessment EVs; however, methods objectively distinguish from background, interpret multiple single-EV lacking. We spanning-tree progression analysis density-normalized events (SPADE) a computational approach for the organization EV subpopulations released platelets erythrocytes. SPADE distinguished EVs, logically organized detected high-sensitivity cytofluorometry based on size estimation, granularity, mitochondrial phosphatidylserine protein receptor surface expression. Plasma were hierarchy, permitting appreciation heterogeneity. Furthermore, was analyze present synovial fluid patients with inflammatory arthritis. Its algorithm efficiently revealed subtypes arthritic heterogeneity patterns. Our study reveals algorithms useful high-dimensional single data, thereby facilitating comprehension functions biomarker development.