| Literature DB >> 29459780 |
Haiying Zhang1, Daniela Freitas2,3,4,5, Han Sang Kim2,6, Kristina Fabijanic7, Zhong Li8, Haiyan Chen2,9, Milica Tesic Mark10, Henrik Molina10, Alberto Benito Martin2, Linda Bojmar2, Justin Fang7, Sham Rampersaud7, Ayuko Hoshino2, Irina Matei2, Candia M Kenific2, Miho Nakajima2, Anders Peter Mutvei11, Pasquale Sansone2, Weston Buehring2, Huajuan Wang2, Juan Pablo Jimenez12, Leona Cohen-Gould12, Navid Paknejad13, Matthew Brendel13, Katia Manova-Todorova13, Ana Magalhães3,4, José Alexandre Ferreira3,4,14, Hugo Osório3,4,15, André M Silva16, Ashish Massey2, Juan R Cubillos-Ruiz17, Giuseppe Galletti18, Paraskevi Giannakakou18, Ana Maria Cuervo19, John Blenis11, Robert Schwartz20, Mary Sue Brady21, Héctor Peinado2,22, Jacqueline Bromberg20,23, Hiroshi Matsui7, Celso A Reis3,4,5,15, David Lyden24,25.
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.Entities:
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Year: 2018 PMID: 29459780 PMCID: PMC5931706 DOI: 10.1038/s41556-018-0040-4
Source DB: PubMed Journal: Nat Cell Biol ISSN: 1465-7392 Impact factor: 28.824