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Open AccessArticle

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

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Institute for Integrative Biology of the Cell (I2BC), CEA, CNRS, Université Paris-Saclay, 91198 Gif-sur-Yvette, France
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Laboratoire Interdisciplinaire sur l’Organisation Nanométrique et Supramoléculaire, CEA, CNRS, NIMBE, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
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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
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Laboratoire Innovations technologiques pour la Détection et le Diagnostic (Li2D), Service de Pharmacologie et Immunoanalyse (SPI), CEA, INRA, 30207 Bagnols-sur-Cèze, France
*
Authors to whom correspondence should be addressed.
Nanomaterials 2020, 10(2), 240; https://doi.org/10.3390/nano10020240
Received: 18 December 2019 / Revised: 17 January 2020 / Accepted: 22 January 2020 / Published: 29 January 2020
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.
Keywords: silica nanoparticles; protein corona; curvature effect; high-throughput proteomics; Bayesian statistical analysis silica nanoparticles; protein corona; curvature effect; high-throughput proteomics; Bayesian statistical analysis
MDPI and ACS Style

Marichal, L.; Klein, G.; Armengaud, J.; Boulard, Y.; Chédin, S.; Labarre, J.; Pin, S.; Renault, J.-P.; Aude, J.-C. Protein Corona Composition of Silica Nanoparticles in Complex Media: Nanoparticle Size does not Matter. Nanomaterials 2020, 10, 240.

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