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Statistical analysis of nanoparticle dosing in a dynamic cellular system

Summers, Huw D., Rees, Paul, Holton, Mark D., Rowan Brown, M., Chappell, Sally Claire, Smith, Paul James and Errington, Rachel Jane 2011. Statistical analysis of nanoparticle dosing in a dynamic cellular system. Nature Nanotechnology 6 (3) , pp. 170-174. 10.1038/nnano.2010.277

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Abstract

The delivery of nanoparticles into cells is important in therapeutic applications1, 2, 3 and in nanotoxicology4. Nanoparticles are generally targeted to receptors on the surfaces of cells and internalized into endosomes by endocytosis5, 6, 7, 8, 9, but the kinetics of the process and the way in which cell division redistributes the particles remain unclear. Here we show that the chance of success or failure of nanoparticle uptake and inheritance is random. Statistical analysis of nanoparticle-loaded endosomes indicates that particle capture is described by an over-dispersed Poisson probability distribution that is consistent with heterogeneous adsorption and internalization. Partitioning of nanoparticles in cell division is random and asymmetric, following a binomial distribution with mean probability of 0.52–0.72. These results show that cellular targeting of nanoparticles is inherently imprecise due to the randomness of nature at the molecular scale, and the statistical framework offers a way to predict nanoparticle dosage for therapy and for the study of nanotoxins.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Medicine
Subjects: Q Science > QH Natural history > QH426 Genetics
R Medicine > R Medicine (General)
Publisher: Nature Publishing Group
ISSN: 1748-3387
Last Modified: 04 Jun 2017 03:42
URI: http://orca-mwe.cf.ac.uk/id/eprint/25135

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