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Structural Determinants for Protein adsorption/non-adsorption to Silica Surface

The understanding of the mechanisms involved in the interaction of proteins with inorganic surfaces is of major interest in both fundamental research and applications such as nanotechnology. However, despite intense research, the mechanisms and the structural determinants of protein/surface interact...

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Autores principales: Mathé, Christelle, Devineau, Stéphanie, Aude, Jean-Christophe, Lagniel, Gilles, Chédin, Stéphane, Legros, Véronique, Mathon, Marie-Hélène, Renault, Jean-Philippe, Pin, Serge, Boulard, Yves, Labarre, Jean
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3839912/
https://www.ncbi.nlm.nih.gov/pubmed/24282583
http://dx.doi.org/10.1371/journal.pone.0081346
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author Mathé, Christelle
Devineau, Stéphanie
Aude, Jean-Christophe
Lagniel, Gilles
Chédin, Stéphane
Legros, Véronique
Mathon, Marie-Hélène
Renault, Jean-Philippe
Pin, Serge
Boulard, Yves
Labarre, Jean
author_facet Mathé, Christelle
Devineau, Stéphanie
Aude, Jean-Christophe
Lagniel, Gilles
Chédin, Stéphane
Legros, Véronique
Mathon, Marie-Hélène
Renault, Jean-Philippe
Pin, Serge
Boulard, Yves
Labarre, Jean
author_sort Mathé, Christelle
collection PubMed
description The understanding of the mechanisms involved in the interaction of proteins with inorganic surfaces is of major interest in both fundamental research and applications such as nanotechnology. However, despite intense research, the mechanisms and the structural determinants of protein/surface interactions are still unclear. We developed a strategy consisting in identifying, in a mixture of hundreds of soluble proteins, those proteins that are adsorbed on the surface and those that are not. If the two protein subsets are large enough, their statistical comparative analysis must reveal the physicochemical determinants relevant for adsorption versus non-adsorption. This methodology was tested with silica nanoparticles. We found that the adsorbed proteins contain a higher number of charged amino acids, particularly arginine, which is consistent with involvement of this basic amino acid in electrostatic interactions with silica. The analysis also identified a marked bias toward low aromatic amino acid content (phenylalanine, tryptophan, tyrosine and histidine) in adsorbed proteins. Structural analyses and molecular dynamics simulations of proteins from the two groups indicate that non-adsorbed proteins have twice as many π-π interactions and higher structural rigidity. The data are consistent with the notion that adsorption is correlated with the flexibility of the protein and with its ability to spread on the surface. Our findings led us to propose a refined model of protein adsorption.
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spelling pubmed-38399122013-11-26 Structural Determinants for Protein adsorption/non-adsorption to Silica Surface Mathé, Christelle Devineau, Stéphanie Aude, Jean-Christophe Lagniel, Gilles Chédin, Stéphane Legros, Véronique Mathon, Marie-Hélène Renault, Jean-Philippe Pin, Serge Boulard, Yves Labarre, Jean PLoS One Research Article The understanding of the mechanisms involved in the interaction of proteins with inorganic surfaces is of major interest in both fundamental research and applications such as nanotechnology. However, despite intense research, the mechanisms and the structural determinants of protein/surface interactions are still unclear. We developed a strategy consisting in identifying, in a mixture of hundreds of soluble proteins, those proteins that are adsorbed on the surface and those that are not. If the two protein subsets are large enough, their statistical comparative analysis must reveal the physicochemical determinants relevant for adsorption versus non-adsorption. This methodology was tested with silica nanoparticles. We found that the adsorbed proteins contain a higher number of charged amino acids, particularly arginine, which is consistent with involvement of this basic amino acid in electrostatic interactions with silica. The analysis also identified a marked bias toward low aromatic amino acid content (phenylalanine, tryptophan, tyrosine and histidine) in adsorbed proteins. Structural analyses and molecular dynamics simulations of proteins from the two groups indicate that non-adsorbed proteins have twice as many π-π interactions and higher structural rigidity. The data are consistent with the notion that adsorption is correlated with the flexibility of the protein and with its ability to spread on the surface. Our findings led us to propose a refined model of protein adsorption. Public Library of Science 2013-11-25 /pmc/articles/PMC3839912/ /pubmed/24282583 http://dx.doi.org/10.1371/journal.pone.0081346 Text en © 2013 Mathé et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Mathé, Christelle
Devineau, Stéphanie
Aude, Jean-Christophe
Lagniel, Gilles
Chédin, Stéphane
Legros, Véronique
Mathon, Marie-Hélène
Renault, Jean-Philippe
Pin, Serge
Boulard, Yves
Labarre, Jean
Structural Determinants for Protein adsorption/non-adsorption to Silica Surface
title Structural Determinants for Protein adsorption/non-adsorption to Silica Surface
title_full Structural Determinants for Protein adsorption/non-adsorption to Silica Surface
title_fullStr Structural Determinants for Protein adsorption/non-adsorption to Silica Surface
title_full_unstemmed Structural Determinants for Protein adsorption/non-adsorption to Silica Surface
title_short Structural Determinants for Protein adsorption/non-adsorption to Silica Surface
title_sort structural determinants for protein adsorption/non-adsorption to silica surface
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3839912/
https://www.ncbi.nlm.nih.gov/pubmed/24282583
http://dx.doi.org/10.1371/journal.pone.0081346
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