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Analysis of the Influence of Cell Heterogeneity on Nanoparticle Dose Response

[Image: see text] 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 micros...

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Autores principales: Ware, Matthew J., Godin, Biana, Singh, Neenu, Majithia, Ravish, Shamsudeen, Sabeel, Serda, Rita E., Meissner, Kenith E., Rees, Paul, Summers, Huw D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2014
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4216222/
https://www.ncbi.nlm.nih.gov/pubmed/24923782
http://dx.doi.org/10.1021/nn502356f
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author Ware, Matthew J.
Godin, Biana
Singh, Neenu
Majithia, Ravish
Shamsudeen, Sabeel
Serda, Rita E.
Meissner, Kenith E.
Rees, Paul
Summers, Huw D.
author_facet Ware, Matthew J.
Godin, Biana
Singh, Neenu
Majithia, Ravish
Shamsudeen, Sabeel
Serda, Rita E.
Meissner, Kenith E.
Rees, Paul
Summers, Huw D.
author_sort Ware, Matthew J.
collection PubMed
description [Image: see text] 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.
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spelling pubmed-42162222014-11-06 Analysis of the Influence of Cell Heterogeneity on Nanoparticle Dose Response Ware, Matthew J. Godin, Biana Singh, Neenu Majithia, Ravish Shamsudeen, Sabeel Serda, Rita E. Meissner, Kenith E. Rees, Paul Summers, Huw D. ACS Nano [Image: see text] 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. American Chemical Society 2014-06-13 2014-07-22 /pmc/articles/PMC4216222/ /pubmed/24923782 http://dx.doi.org/10.1021/nn502356f Text en Copyright © 2014 American Chemical Society Terms of Use CC-BY (http://pubs.acs.org/page/policy/authorchoice_ccby_termsofuse.html)
spellingShingle Ware, Matthew J.
Godin, Biana
Singh, Neenu
Majithia, Ravish
Shamsudeen, Sabeel
Serda, Rita E.
Meissner, Kenith E.
Rees, Paul
Summers, Huw D.
Analysis of the Influence of Cell Heterogeneity on Nanoparticle Dose Response
title 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_short Analysis of the Influence of Cell Heterogeneity on Nanoparticle Dose Response
title_sort analysis of the influence of cell heterogeneity on nanoparticle dose response
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4216222/
https://www.ncbi.nlm.nih.gov/pubmed/24923782
http://dx.doi.org/10.1021/nn502356f
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