On the surface-to-bulk partition of proteins in extracellular vesicles.


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
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

112728

Informations 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.

Auteurs

Andrea Zendrini (A)

Department of Molecular and Translational Medicine, Università degli Studi di Brescia, Viale Europa 11, 25123 Brescia, Italy; Center for Colloid and Surface Science (CSGI), Viale della Lastruccia 3, 50019 Sesto Fiorentino, Italy. Electronic address: andrea.zendrini@unibs.it.

Giorgia Guerra (G)

Department of Surgery, Division of Cancer Biology and Therapeutics, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.

Krizia Sagini (K)

Department of Surgery, Division of Cancer Biology and Therapeutics, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA; Department of Molecular Cell Biology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway.

Tatyana Vagner (T)

Department of Surgery, Division of Cancer Biology and Therapeutics, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.

Dolores Di Vizio (D)

Department of Surgery, Division of Cancer Biology and Therapeutics, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.

Paolo Bergese (P)

Department of Molecular and Translational Medicine, Università degli Studi di Brescia, Viale Europa 11, 25123 Brescia, Italy; Center for Colloid and Surface Science (CSGI), Viale della Lastruccia 3, 50019 Sesto Fiorentino, Italy; National Inter-university Consortium of Materials Science and Technology (INSTM), Via Giuseppe Giusti 9, 50121 Firenze, Italy; Institute for Research and Biomedical Innovation (IRIB-CNR), Consiglio Nazionale delle Ricerche, Via Ugo la Malfa 153, 90146 Palermo, Italy.

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Classifications MeSH