Abstract

Understanding nanoparticle uptake by biological cells is fundamentally important to wide-ranging fields from nanotoxicology to drug delivery. It is now accepted that the arrival of nanoparticles at the cell is an extremely complicated process, shaped by many factors including unique nanoparticle physico-chemical characteristics, protein-particle interactions and subsequent agglomeration, diffusion and sedimentation. Sequentially, the nanoparticle internalisation process itself is also complex, and controlled by multiple aspects of a cell’s state. Despite this multitude of factors, here we demonstrate that the statistical distribution of the nanoparticle dose per endosome is independent of the initial administered dose and exposure duration. Rather, it is the number of nanoparticle containing endosomes that are dependent on these initial dosing conditions. These observations explain the heterogeneity of nanoparticle delivery at the cellular level and allow the derivation of simple, yet powerful probabilistic distributions that accurately predict the nanoparticle dose delivered to individual cells across a population.

Cellular uptake of nanoparticles is highly variable between individual cells in a population. Here, the authors show that this heterogeneity is a result of varying numbers of nanoparticle-containing endosomes while the nanoparticle dose per endosome remains constant.

Details

Title
The origin of heterogeneous nanoparticle uptake by cells
Author
Rees, Paul 1 ; Wills, John W 2 ; Rowan, Brown M 3 ; Barnes, Claire M 3 ; Summers, Huw D 3 

 Swansea University College of Engineering, Fabian Way, Centre for Nanohealth, Swansea, UK (GRID:grid.4827.9) (ISNI:0000 0001 0658 8800); Broad Institute of MIT and Harvard, Cambridge, USA (GRID:grid.66859.34) 
 Cambridge University Department of Veterinary Medicine, School of Biological Sciences, Biominerals Research, Cambridge, UK (GRID:grid.5335.0) (ISNI:0000000121885934) 
 Swansea University College of Engineering, Fabian Way, Centre for Nanohealth, Swansea, UK (GRID:grid.4827.9) (ISNI:0000 0001 0658 8800) 
Publication year
2019
Publication date
2019
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2231411602
Copyright
© The Author(s) 2019. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.