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More than efficacy revealed by single-cell analysis of antiviral therapeutics
Because many aspects of viral infection dynamics and inhibition are governed by stochastic processes, single-cell analysis should provide more information than approaches using population averaging. We have developed a microfluidic device composed of ~6000 wells, with each well containing a microstr...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6821460/ https://www.ncbi.nlm.nih.gov/pubmed/31692968 http://dx.doi.org/10.1126/sciadv.aax4761 |
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author | Liu, Wu Caglar, Mehmet U. Mao, Zhangming Woodman, Andrew Arnold, Jamie J. Wilke, Claus O. Cameron, Craig E. |
author_facet | Liu, Wu Caglar, Mehmet U. Mao, Zhangming Woodman, Andrew Arnold, Jamie J. Wilke, Claus O. Cameron, Craig E. |
author_sort | Liu, Wu |
collection | PubMed |
description | Because many aspects of viral infection dynamics and inhibition are governed by stochastic processes, single-cell analysis should provide more information than approaches using population averaging. We have developed a microfluidic device composed of ~6000 wells, with each well containing a microstructure to capture single, infected cells replicating an enterovirus expressing a fluorescent reporter protein. We have used this system to characterize enterovirus inhibitors with distinct mechanisms of action. Single-cell analysis reveals that each class of inhibitor interferes with the viral infection cycle in a manner that can be distinguished by principal component analysis. Single-cell analysis of antiviral candidates not only reveals efficacy but also facilitates clustering of drugs with the same mechanism of action and provides some indication of the ease with which resistance will develop. |
format | Online Article Text |
id | pubmed-6821460 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-68214602019-11-05 More than efficacy revealed by single-cell analysis of antiviral therapeutics Liu, Wu Caglar, Mehmet U. Mao, Zhangming Woodman, Andrew Arnold, Jamie J. Wilke, Claus O. Cameron, Craig E. Sci Adv Research Articles Because many aspects of viral infection dynamics and inhibition are governed by stochastic processes, single-cell analysis should provide more information than approaches using population averaging. We have developed a microfluidic device composed of ~6000 wells, with each well containing a microstructure to capture single, infected cells replicating an enterovirus expressing a fluorescent reporter protein. We have used this system to characterize enterovirus inhibitors with distinct mechanisms of action. Single-cell analysis reveals that each class of inhibitor interferes with the viral infection cycle in a manner that can be distinguished by principal component analysis. Single-cell analysis of antiviral candidates not only reveals efficacy but also facilitates clustering of drugs with the same mechanism of action and provides some indication of the ease with which resistance will develop. American Association for the Advancement of Science 2019-10-30 /pmc/articles/PMC6821460/ /pubmed/31692968 http://dx.doi.org/10.1126/sciadv.aax4761 Text en Copyright © 2019 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). http://creativecommons.org/licenses/by-nc/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (http://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited. |
spellingShingle | Research Articles Liu, Wu Caglar, Mehmet U. Mao, Zhangming Woodman, Andrew Arnold, Jamie J. Wilke, Claus O. Cameron, Craig E. More than efficacy revealed by single-cell analysis of antiviral therapeutics |
title | More than efficacy revealed by single-cell analysis of antiviral therapeutics |
title_full | More than efficacy revealed by single-cell analysis of antiviral therapeutics |
title_fullStr | More than efficacy revealed by single-cell analysis of antiviral therapeutics |
title_full_unstemmed | More than efficacy revealed by single-cell analysis of antiviral therapeutics |
title_short | More than efficacy revealed by single-cell analysis of antiviral therapeutics |
title_sort | more than efficacy revealed by single-cell analysis of antiviral therapeutics |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6821460/ https://www.ncbi.nlm.nih.gov/pubmed/31692968 http://dx.doi.org/10.1126/sciadv.aax4761 |
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