期刊
ACS NANO
卷 8, 期 3, 页码 2439-2455出版社
AMER CHEMICAL SOC
DOI: 10.1021/nn406018q
关键词
protein corona; cell uptake; structure-activity model; liquid chromatography tandem mass spectromery; quantitative proteomics; nanomedicine; nanobiotechnology
类别
资金
- Canadian Institute of Health Research [RMF-111623, COP-126588]
- Natural Science and Engineering Research Council (NSERC) [NETGP35015, RGPIN-288231, CRDPJ424710]
- Canadian Foundation for Innovation
- Canadian Research Chair's Program
- NSERC
Using quantitative models to predict the biological interactions of nanoparticles will accelerate the translation of nanotechnology. Here, we characterized the serum protein corona 'fingerprint' formed around a library of 105 surface-modified gold nanoparticles. Applying a bioinformatics-inspired approach, we developed a multivariate model that uses the protein corona fingerprint to predict cell association 50% more accurately than a model that uses parameters describing nanoparticle size, aggregation state, and surface charge. Our model implicates a set of hyaluronan-binding proteins as mediators of nanoparticle cell interactions. This study establishes a framework for developing a comprehensive database of protein corona fingerprints and biological responses for multiple nanoparticle types. Such a database can be used to develop quantitative relationships that predict the biological responses to nanoparticles and will aid in uncovering the fundamental mechanisms of nano-bio interactions.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据