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Identification of distinct nanoparticles and subsets of extracellular vesicles by asymmetric flow field-flow fractionation.

TitleIdentification of distinct nanoparticles and subsets of extracellular vesicles by asymmetric flow field-flow fractionation.
Publication TypeJournal Article
Year of Publication2018
AuthorsZhang H, Freitas D, Kim HSang, Fabijanic K, Li Z, Chen H, Mark MTešić, Molina H, Martin ABenito, Bojmar L, Fang J, Rampersaud S, Hoshino A, Matei I, Kenific CM, Nakajima M, Mutvei APeter, Sansone P, Buehring W, Wang H, Jimenez JPablo, Cohen-Gould L, Paknejad N, Brendel M, Manova-Todorova K, Magalhães A, Ferreira JAlexandre, Osório H, Silva AM, Massey A, Cubillos-Ruiz JR, Galletti G, Giannakakou P, Cuervo AMaria, Blenis J, Schwartz R, Brady MSue, Peinado H, Bromberg J, Matsui H, Reis CA, Lyden D
JournalNat Cell Biol
Date Published2018 Feb 19
ISSN1476-4679
Abstract

The heterogeneity of exosomal populations has hindered our understanding of their biogenesis, molecular composition, biodistribution and functions. By employing asymmetric flow field-flow fractionation (AF4), we identified two exosome subpopulations (large exosome vesicles, Exo-L, 90-120 nm; small exosome vesicles, Exo-S, 60-80 nm) and discovered an abundant population of non-membranous nanoparticles termed 'exomeres' (~35 nm). Exomere proteomic profiling revealed an enrichment in metabolic enzymes and hypoxia, microtubule and coagulation proteins as well as specific pathways, such as glycolysis and mTOR signalling. Exo-S and Exo-L contained proteins involved in endosomal function and secretion pathways, and mitotic spindle and IL-2/STAT5 signalling pathways, respectively. Exo-S, Exo-L and exomeres each had unique N-glycosylation, protein, lipid, DNA and RNA profiles and biophysical properties. These three nanoparticle subsets demonstrated diverse organ biodistribution patterns, suggesting distinct biological functions. This study demonstrates that AF4 can serve as an improved analytical tool for isolating extracellular vesicles and addressing the complexities of heterogeneous nanoparticle subpopulations.

DOI10.1038/s41556-018-0040-4
Alternate JournalNat. Cell Biol.
PubMed ID29459780