On the surface-to-bulk partition of proteins in extracellular vesicles.
Bio-nano Interfaces
Extracellular vesicles
Large oncosome
Membrane
Nanoparticles
Protein
Journal
Colloids and surfaces. B, Biointerfaces
ISSN: 1873-4367
Titre abrégé: Colloids Surf B Biointerfaces
Pays: Netherlands
ID NLM: 9315133
Informations de publication
Date de publication:
Oct 2022
Oct 2022
Historique:
received:
21
04
2022
revised:
20
07
2022
accepted:
24
07
2022
pubmed:
16
8
2022
medline:
20
9
2022
entrez:
15
8
2022
Statut:
ppublish
Résumé
Nanomaterials are characterized by an extremely large surface-to-volume ratio. Extracellular Vesicles (EVs) - which have been recently recognized as the universal agent of intercellular communication, being involved in many physiological and pathological processes and interkingdom biochemical communication - are nanoparticles, but this key aspect has never been rationally addressed. Here we report the first attempt to quantify the membrane-to-lumen partition of proteins in EVs. A semi-quantitative model based on available well-established compositional and microstructural data is formulated. The model allows for the estimation of the overall protein content of an EV as well as of the partition between membrane (surface) associated and lumen (bulk) contained proteins as a function of the EV size and shape. It further identifies 180 nm as a switch diameter, below which EVs result composed of more membrane than luminal proteins. At larger diameters the partition is reversed, reaching predominance of luminal proteins (> 80 %) in large EVs (diameter > 800 nm). The model is successfully tested to analyze and describe a real preparation composed of subpopulations of small EVs (diameter < 200 nm), including exosomes and ectosomes, and large EVs including large oncosomes (diameter > 1000 nm) from human prostate cancer cells. These findings provide the basis for a better colloidal description of EV samples, might help to understand the stoichiometry of proteins in distinct EV sub-populations, and will improve the design and interpretation of experiments, including EV engineering and dosing in-vitro and in-vivo.
Identifiants
pubmed: 35969923
pii: S0927-7765(22)00411-8
doi: 10.1016/j.colsurfb.2022.112728
pii:
doi:
Substances chimiques
Proteins
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
112728Informations de copyright
Copyright © 2022 Elsevier B.V. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.