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Bimodal brush-functionalized nanoparticles selective to receptor surface density

Nanoparticles or drug carriers which can selectively bind to cells expressing receptors above a certain threshold surface density are very promising for targeting cells overexpressing specific receptors under pathological conditions. Simulations and theoretical studies have suggested that such selec...

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Autores principales: Phan, Huu Trong, Lauzon, Dominic, Vallée-Bélisle, Alexis, Angioletti-Uberti, Stefano, Leblond Chain, Jeanne, Giasson, Suzanne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9934298/
https://www.ncbi.nlm.nih.gov/pubmed/36630450
http://dx.doi.org/10.1073/pnas.2208377120
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author Phan, Huu Trong
Lauzon, Dominic
Vallée-Bélisle, Alexis
Angioletti-Uberti, Stefano
Leblond Chain, Jeanne
Giasson, Suzanne
author_facet Phan, Huu Trong
Lauzon, Dominic
Vallée-Bélisle, Alexis
Angioletti-Uberti, Stefano
Leblond Chain, Jeanne
Giasson, Suzanne
author_sort Phan, Huu Trong
collection PubMed
description Nanoparticles or drug carriers which can selectively bind to cells expressing receptors above a certain threshold surface density are very promising for targeting cells overexpressing specific receptors under pathological conditions. Simulations and theoretical studies have suggested that such selectivity can be enhanced by functionalizing nanoparticles with a bimodal polymer monolayer (BM) containing shorter ligated chains and longer inert protective chains. However, a systematic study of the effect of these parameters under tightly controlled conditions is still missing. Here, we develop well-defined and highly specific platforms mimicking particle–cell interface using surface chemistry to provide a experimental proof of such selectivity. Using surface plasmon resonance and atomic force microscopy, we report the selective adsorption of BM-functionalized nanoparticles, and especially, a significant enhanced selective behavior by using a BM with longer protective chains. Furthermore, a model is also developed to describe the repulsive contribution of the protective brush to nanoparticle adsorption. This model is combined with super-selectivity theory to support experimental findings and shows that the observed selectivity is due to the steric energy barrier which requires a high number of ligand–receptor bonds to allow nanoparticle adsorption. Finally, the results show how the relative length and molar ratio of two chains can be tuned to target a threshold surface density of receptors and thus lay the foundation for the rational design of BM-functionalized nanoparticles for selective targeting.
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spelling pubmed-99342982023-07-11 Bimodal brush-functionalized nanoparticles selective to receptor surface density Phan, Huu Trong Lauzon, Dominic Vallée-Bélisle, Alexis Angioletti-Uberti, Stefano Leblond Chain, Jeanne Giasson, Suzanne Proc Natl Acad Sci U S A Physical Sciences Nanoparticles or drug carriers which can selectively bind to cells expressing receptors above a certain threshold surface density are very promising for targeting cells overexpressing specific receptors under pathological conditions. Simulations and theoretical studies have suggested that such selectivity can be enhanced by functionalizing nanoparticles with a bimodal polymer monolayer (BM) containing shorter ligated chains and longer inert protective chains. However, a systematic study of the effect of these parameters under tightly controlled conditions is still missing. Here, we develop well-defined and highly specific platforms mimicking particle–cell interface using surface chemistry to provide a experimental proof of such selectivity. Using surface plasmon resonance and atomic force microscopy, we report the selective adsorption of BM-functionalized nanoparticles, and especially, a significant enhanced selective behavior by using a BM with longer protective chains. Furthermore, a model is also developed to describe the repulsive contribution of the protective brush to nanoparticle adsorption. This model is combined with super-selectivity theory to support experimental findings and shows that the observed selectivity is due to the steric energy barrier which requires a high number of ligand–receptor bonds to allow nanoparticle adsorption. Finally, the results show how the relative length and molar ratio of two chains can be tuned to target a threshold surface density of receptors and thus lay the foundation for the rational design of BM-functionalized nanoparticles for selective targeting. National Academy of Sciences 2023-01-11 2023-01-17 /pmc/articles/PMC9934298/ /pubmed/36630450 http://dx.doi.org/10.1073/pnas.2208377120 Text en Copyright © 2023 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/This article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Physical Sciences
Phan, Huu Trong
Lauzon, Dominic
Vallée-Bélisle, Alexis
Angioletti-Uberti, Stefano
Leblond Chain, Jeanne
Giasson, Suzanne
Bimodal brush-functionalized nanoparticles selective to receptor surface density
title Bimodal brush-functionalized nanoparticles selective to receptor surface density
title_full Bimodal brush-functionalized nanoparticles selective to receptor surface density
title_fullStr Bimodal brush-functionalized nanoparticles selective to receptor surface density
title_full_unstemmed Bimodal brush-functionalized nanoparticles selective to receptor surface density
title_short Bimodal brush-functionalized nanoparticles selective to receptor surface density
title_sort bimodal brush-functionalized nanoparticles selective to receptor surface density
topic Physical Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9934298/
https://www.ncbi.nlm.nih.gov/pubmed/36630450
http://dx.doi.org/10.1073/pnas.2208377120
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