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Mathematical modeling of the protein corona: implications for nanoparticulate delivery systems

Dell'Orco, Daniele ; Lundqvist, Martin LU ; Linse, Sara LU and Cedervall, Tommy LU (2014) In Nanomedicine 9(6). p.851-858
Abstract
This article discusses the role of the protein corona in delivery systems with tagged nanoparticles and how knowledge of the protein corona can help in optimizing delivery. The basic question is whether and how the binding of proteins and other biomolecules at the nanoparticle surface interfere with the interaction between a tag and its receptor. This is an interesting problem in many respects, but most intriguing are the observed differences in delivery efficiency in vivo compared with protein-free in vitro conditions. In order to understand possible situations that the nanoparticle will face in a protein-rich biological environment, we will first describe the formation of a protein corona and thereafter discuss potential perturbations of... (More)
This article discusses the role of the protein corona in delivery systems with tagged nanoparticles and how knowledge of the protein corona can help in optimizing delivery. The basic question is whether and how the binding of proteins and other biomolecules at the nanoparticle surface interfere with the interaction between a tag and its receptor. This is an interesting problem in many respects, but most intriguing are the observed differences in delivery efficiency in vivo compared with protein-free in vitro conditions. In order to understand possible situations that the nanoparticle will face in a protein-rich biological environment, we will first describe the formation of a protein corona and thereafter discuss potential perturbations of the delivery systems when moving from in vitro testing to in vivo applications. We emphasize the role of mathematical modeling in optimizing the design of functionalized nanoparticles to achieve high success of delivery. (Less)
Please use this url to cite or link to this publication:
author
; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
delivery, mathematical modeling, nanoparticle, protein corona, targeting
in
Nanomedicine
volume
9
issue
6
pages
851 - 858
publisher
Future Medicine Ltd.
external identifiers
  • wos:000338781500014
  • scopus:84903759734
ISSN
1743-5889
DOI
10.2217/NNM.14.39
language
English
LU publication?
yes
id
4ad148f8-d636-481e-b48a-496205c8f89c (old id 4602492)
date added to LUP
2016-04-01 10:06:05
date last changed
2023-11-09 11:57:18
@article{4ad148f8-d636-481e-b48a-496205c8f89c,
  abstract     = {{This article discusses the role of the protein corona in delivery systems with tagged nanoparticles and how knowledge of the protein corona can help in optimizing delivery. The basic question is whether and how the binding of proteins and other biomolecules at the nanoparticle surface interfere with the interaction between a tag and its receptor. This is an interesting problem in many respects, but most intriguing are the observed differences in delivery efficiency in vivo compared with protein-free in vitro conditions. In order to understand possible situations that the nanoparticle will face in a protein-rich biological environment, we will first describe the formation of a protein corona and thereafter discuss potential perturbations of the delivery systems when moving from in vitro testing to in vivo applications. We emphasize the role of mathematical modeling in optimizing the design of functionalized nanoparticles to achieve high success of delivery.}},
  author       = {{Dell'Orco, Daniele and Lundqvist, Martin and Linse, Sara and Cedervall, Tommy}},
  issn         = {{1743-5889}},
  keywords     = {{delivery; mathematical modeling; nanoparticle; protein corona; targeting}},
  language     = {{eng}},
  number       = {{6}},
  pages        = {{851--858}},
  publisher    = {{Future Medicine Ltd.}},
  series       = {{Nanomedicine}},
  title        = {{Mathematical modeling of the protein corona: implications for nanoparticulate delivery systems}},
  url          = {{http://dx.doi.org/10.2217/NNM.14.39}},
  doi          = {{10.2217/NNM.14.39}},
  volume       = {{9}},
  year         = {{2014}},
}