Protein Corona Composition of Silica Nanoparticles in Complex Media: Nanoparticle Size does not Matter.

Bayesian statistical analysis curvature effect high-throughput proteomics protein corona silica nanoparticles

Journal

Nanomaterials (Basel, Switzerland)
ISSN: 2079-4991
Titre abrégé: Nanomaterials (Basel)
Pays: Switzerland
ID NLM: 101610216

Informations de publication

Date de publication:
29 Jan 2020
Historique:
received: 18 12 2019
revised: 17 01 2020
accepted: 22 01 2020
entrez: 5 2 2020
pubmed: 6 2 2020
medline: 6 2 2020
Statut: epublish

Résumé

Biomolecules, and particularly proteins, bind on nanoparticle (NP) surfaces to form the so-called protein corona. It is accepted that the corona drives the biological distribution and toxicity of NPs. Here, the corona composition and structure were studied using silica nanoparticles (SiNPs) of different sizes interacting with soluble yeast protein extracts. Adsorption isotherms showed that the amount of adsorbed proteins varied greatly upon NP size with large NPs having more adsorbed proteins per surface unit. The protein corona composition was studied using a large-scale label-free proteomic approach, combined with statistical and regression analyses. Most of the proteins adsorbed on the NPs were the same, regardless of the size of the NPs. To go beyond, the protein physicochemical parameters relevant for the adsorption were studied: electrostatic interactions and disordered regions are the main driving forces for the adsorption on SiNPs but polypeptide sequence length seems to be an important factor as well. This article demonstrates that curvature effects exhibited using model proteins are not determining factors for the corona composition on SiNPs, when dealing with complex biological media.

Identifiants

pubmed: 32013169
pii: nano10020240
doi: 10.3390/nano10020240
pmc: PMC7075126
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : Commissariat à l'Énergie Atomique et aux Énergies Alternatives
ID : Programme de Toxicologie/NaToM

Déclaration de conflit d'intérêts

The authors declare no conflict of interest.

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Auteurs

Laurent Marichal (L)

Institute for Integrative Biology of the Cell (I2BC), CEA, CNRS, Université Paris-Saclay, 91198 Gif-sur-Yvette, France.
Laboratoire Interdisciplinaire sur l'Organisation Nanométrique et Supramoléculaire, CEA, CNRS, NIMBE, Université Paris-Saclay, 91191 Gif-sur-Yvette, France.

Géraldine Klein (G)

Institute for Integrative Biology of the Cell (I2BC), CEA, CNRS, Université Paris-Saclay, 91198 Gif-sur-Yvette, France.
Laboratoire Interdisciplinaire sur l'Organisation Nanométrique et Supramoléculaire, CEA, CNRS, NIMBE, Université Paris-Saclay, 91191 Gif-sur-Yvette, France.
UMR Procédés Alimentaires et Microbiologiques, Equipe VAlMiS (Vin, Aliment, Microbiologie, Stress), Institut Universitaire de la Vigne et du Vin, AgroSup Dijon, Université de Bourgogne Franche-Comté, rue Claude Ladrey, BP 27877, 21000 Dijon, France.

Jean Armengaud (J)

Laboratoire Innovations technologiques pour la Détection et le Diagnostic (Li2D), Service de Pharmacologie et Immunoanalyse (SPI), CEA, INRA, 30207 Bagnols-sur-Cèze, France.

Yves Boulard (Y)

Institute for Integrative Biology of the Cell (I2BC), CEA, CNRS, Université Paris-Saclay, 91198 Gif-sur-Yvette, France.

Stéphane Chédin (S)

Institute for Integrative Biology of the Cell (I2BC), CEA, CNRS, Université Paris-Saclay, 91198 Gif-sur-Yvette, France.

Jean Labarre (J)

Institute for Integrative Biology of the Cell (I2BC), CEA, CNRS, Université Paris-Saclay, 91198 Gif-sur-Yvette, France.

Serge Pin (S)

Laboratoire Interdisciplinaire sur l'Organisation Nanométrique et Supramoléculaire, CEA, CNRS, NIMBE, Université Paris-Saclay, 91191 Gif-sur-Yvette, France.

Jean-Philippe Renault (JP)

Laboratoire Interdisciplinaire sur l'Organisation Nanométrique et Supramoléculaire, CEA, CNRS, NIMBE, Université Paris-Saclay, 91191 Gif-sur-Yvette, France.

Jean-Christophe Aude (JC)

Institute for Integrative Biology of the Cell (I2BC), CEA, CNRS, Université Paris-Saclay, 91198 Gif-sur-Yvette, France.

Classifications MeSH