Journal article 1442 views 169 downloads
Analysis of the Influence of Cell Heterogeneity on Nanoparticle Dose Response
Matthew J. Ware,
Biana Godin,
Neenu Singh,
Ravish Majithia,
Sabeel Shamsudeen,
Rita E. Serda,
Kenith Meissner,
Paul Rees ,
Huw Summers
ACS Nano, Volume: 8, Issue: 7, Pages: 6693 - 6700
Swansea University Authors: Neenu Singh, Kenith Meissner, Paul Rees , Huw Summers
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DOI (Published version): 10.1021/nn502356f
Abstract
Understanding the effect of variability in the interaction of individual cells with nanoparticles on the overall response of the cell population to a nanoagent is a fundamental challenge in bionanotechnology. Here, we show that the technique of time-resolved, high-throughput microscopy can be used i...
Published in: | ACS Nano |
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ISSN: | 1936-0851 1936-086X |
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2014
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URI: | https://cronfa.swan.ac.uk/Record/cronfa20184 |
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2020-09-29T12:11:20.7206839 v2 20184 2015-02-19 Analysis of the Influence of Cell Heterogeneity on Nanoparticle Dose Response 25f7165923805db3197691b8e76c97df Neenu Singh Neenu Singh true false 30fdfec0d8b19b59b57a818e054d4af3 Kenith Meissner Kenith Meissner true false 537a2fe031a796a3bde99679ee8c24f5 0000-0002-7715-6914 Paul Rees Paul Rees true false a61c15e220837ebfa52648c143769427 0000-0002-0898-5612 Huw Summers Huw Summers true false 2015-02-19 Understanding the effect of variability in the interaction of individual cells with nanoparticles on the overall response of the cell population to a nanoagent is a fundamental challenge in bionanotechnology. Here, we show that the technique of time-resolved, high-throughput microscopy can be used in this endeavor. Mass measurement with single-cell resolution provides statistically robust assessments of cell heterogeneity, while the addition of a temporal element allows assessment of separate processes leading to deconvolution of the effects of particle supply and biological response. We provide a specific demonstration of the approach, in vitro, through time-resolved measurement of fibroblast cell (HFF-1) death caused by exposure to cationic nanoparticles. The results show that heterogeneity in cell area is the major source of variability with area-dependent nanoparticle capture rates determining the time of cell death and hence the form of the exposure–response characteristic. Moreover, due to the particulate nature of the nanoparticle suspension, there is a reduction in the particle concentration over the course of the experiment, eventually causing saturation in the level of measured biological outcome. A generalized mathematical description of the system is proposed, based on a simple model of particle depletion from a finite supply reservoir. This captures the essential aspects of the nanoparticle–cell interaction dynamics and accurately predicts the population exposure–response curves from individual cell heterogeneity distributions. Journal Article ACS Nano 8 7 6693 6700 1936-0851 1936-086X bionanotechnology; dose−response characteristic; high-throughput microscopy; nanomedicine; nanoparticle dose; nanoparticle exposure; nanotoxicology 22 7 2014 2014-07-22 10.1021/nn502356f ACS AuthorChoice - Terms of Use CC-BY COLLEGE NANME COLLEGE CODE Swansea University 2020-09-29T12:11:20.7206839 2015-02-19T11:25:22.4712205 Faculty of Science and Engineering School of Engineering and Applied Sciences - Biomedical Engineering Matthew J. Ware 1 Biana Godin 2 Neenu Singh 3 Ravish Majithia 4 Sabeel Shamsudeen 5 Rita E. Serda 6 Kenith Meissner 7 Paul Rees 0000-0002-7715-6914 8 Huw Summers 0000-0002-0898-5612 9 0020184-13102016103123.pdf ware2016(2).pdf 2016-10-13T10:31:23.2470000 Output 1683011 application/pdf Version of Record true 2016-10-13T00:00:00.0000000 false |
title |
Analysis of the Influence of Cell Heterogeneity on Nanoparticle Dose Response |
spellingShingle |
Analysis of the Influence of Cell Heterogeneity on Nanoparticle Dose Response Neenu Singh Kenith Meissner Paul Rees Huw Summers |
title_short |
Analysis of the Influence of Cell Heterogeneity on Nanoparticle Dose Response |
title_full |
Analysis of the Influence of Cell Heterogeneity on Nanoparticle Dose Response |
title_fullStr |
Analysis of the Influence of Cell Heterogeneity on Nanoparticle Dose Response |
title_full_unstemmed |
Analysis of the Influence of Cell Heterogeneity on Nanoparticle Dose Response |
title_sort |
Analysis of the Influence of Cell Heterogeneity on Nanoparticle Dose Response |
author_id_str_mv |
25f7165923805db3197691b8e76c97df 30fdfec0d8b19b59b57a818e054d4af3 537a2fe031a796a3bde99679ee8c24f5 a61c15e220837ebfa52648c143769427 |
author_id_fullname_str_mv |
25f7165923805db3197691b8e76c97df_***_Neenu Singh 30fdfec0d8b19b59b57a818e054d4af3_***_Kenith Meissner 537a2fe031a796a3bde99679ee8c24f5_***_Paul Rees a61c15e220837ebfa52648c143769427_***_Huw Summers |
author |
Neenu Singh Kenith Meissner Paul Rees Huw Summers |
author2 |
Matthew J. Ware Biana Godin Neenu Singh Ravish Majithia Sabeel Shamsudeen Rita E. Serda Kenith Meissner Paul Rees Huw Summers |
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Understanding the effect of variability in the interaction of individual cells with nanoparticles on the overall response of the cell population to a nanoagent is a fundamental challenge in bionanotechnology. Here, we show that the technique of time-resolved, high-throughput microscopy can be used in this endeavor. Mass measurement with single-cell resolution provides statistically robust assessments of cell heterogeneity, while the addition of a temporal element allows assessment of separate processes leading to deconvolution of the effects of particle supply and biological response. We provide a specific demonstration of the approach, in vitro, through time-resolved measurement of fibroblast cell (HFF-1) death caused by exposure to cationic nanoparticles. The results show that heterogeneity in cell area is the major source of variability with area-dependent nanoparticle capture rates determining the time of cell death and hence the form of the exposure–response characteristic. Moreover, due to the particulate nature of the nanoparticle suspension, there is a reduction in the particle concentration over the course of the experiment, eventually causing saturation in the level of measured biological outcome. A generalized mathematical description of the system is proposed, based on a simple model of particle depletion from a finite supply reservoir. This captures the essential aspects of the nanoparticle–cell interaction dynamics and accurately predicts the population exposure–response curves from individual cell heterogeneity distributions. |
published_date |
2014-07-22T18:38:41Z |
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1821341197708296192 |
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11.04748 |