Journal article 1060 views 147 downloads
The origin of heterogeneous nanoparticle uptake by cells
Nature Communications, Volume: 10, Issue: 1
Swansea University Authors:
Paul Rees , John Wills, Rowan Brown
, Claire Barnes
, Huw Summers
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DOI (Published version): 10.1038/s41467-019-10112-4
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 phy...
Published in: | Nature Communications |
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ISSN: | 2041-1723 2041-1723 |
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2019
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URI: | https://cronfa.swan.ac.uk/Record/cronfa50105 |
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2021-01-15T10:37:19.6091292 v2 50105 2019-04-29 The origin of heterogeneous nanoparticle uptake by cells 537a2fe031a796a3bde99679ee8c24f5 0000-0002-7715-6914 Paul Rees Paul Rees true false 219b2cbe96226a37100740de69432f5f John Wills John Wills true false d7db8d42c476dfa69c15ce06d29bd863 0000-0003-3628-2524 Rowan Brown Rowan Brown true false 024232879fc13d5ceac584360af8742c 0000-0003-1031-7127 Claire Barnes Claire Barnes true false a61c15e220837ebfa52648c143769427 0000-0002-0898-5612 Huw Summers Huw Summers true false 2019-04-29 MEDE 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. Journal Article Nature Communications 10 1 2041-1723 2041-1723 1 12 2019 2019-12-01 10.1038/s41467-019-10112-4 http://dx.doi.org/10.1038/s41467-019-10112-4 COLLEGE NANME Biomedical Engineering COLLEGE CODE MEDE Swansea University RCUK, BB/P026818/1 2021-01-15T10:37:19.6091292 2019-04-29T10:52:34.8136688 Faculty of Science and Engineering School of Engineering and Applied Sciences - Uncategorised Paul Rees 0000-0002-7715-6914 1 John Wills 2 Rowan Brown 0000-0003-3628-2524 3 Claire Barnes 0000-0003-1031-7127 4 Huw Summers 0000-0002-0898-5612 5 0050105-28052019102327.pdf 50105.pdf 2019-05-28T10:23:27.5870000 Output 1950419 application/pdf Version of Record true 2019-05-28T00:00:00.0000000 Distributed under the terms of a Creative Commons Attribution 4.0 International Licence (CC-BY). true eng |
title |
The origin of heterogeneous nanoparticle uptake by cells |
spellingShingle |
The origin of heterogeneous nanoparticle uptake by cells Paul Rees John Wills Rowan Brown Claire Barnes Huw Summers |
title_short |
The origin of heterogeneous nanoparticle uptake by cells |
title_full |
The origin of heterogeneous nanoparticle uptake by cells |
title_fullStr |
The origin of heterogeneous nanoparticle uptake by cells |
title_full_unstemmed |
The origin of heterogeneous nanoparticle uptake by cells |
title_sort |
The origin of heterogeneous nanoparticle uptake by cells |
author_id_str_mv |
537a2fe031a796a3bde99679ee8c24f5 219b2cbe96226a37100740de69432f5f d7db8d42c476dfa69c15ce06d29bd863 024232879fc13d5ceac584360af8742c a61c15e220837ebfa52648c143769427 |
author_id_fullname_str_mv |
537a2fe031a796a3bde99679ee8c24f5_***_Paul Rees 219b2cbe96226a37100740de69432f5f_***_John Wills d7db8d42c476dfa69c15ce06d29bd863_***_Rowan Brown 024232879fc13d5ceac584360af8742c_***_Claire Barnes a61c15e220837ebfa52648c143769427_***_Huw Summers |
author |
Paul Rees John Wills Rowan Brown Claire Barnes Huw Summers |
author2 |
Paul Rees John Wills Rowan Brown Claire Barnes Huw Summers |
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Journal article |
container_title |
Nature Communications |
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10 |
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1 |
publishDate |
2019 |
institution |
Swansea University |
issn |
2041-1723 2041-1723 |
doi_str_mv |
10.1038/s41467-019-10112-4 |
college_str |
Faculty of Science and Engineering |
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facultyofscienceandengineering |
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Faculty of Science and Engineering |
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facultyofscienceandengineering |
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Faculty of Science and Engineering |
department_str |
School of Engineering and Applied Sciences - Uncategorised{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Uncategorised |
url |
http://dx.doi.org/10.1038/s41467-019-10112-4 |
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description |
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. |
published_date |
2019-12-01T04:01:25Z |
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11.021648 |