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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2023
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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. |
format | Online Article Text |
id | pubmed-9934298 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
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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