Cargando…
Live Cell Analysis and Mathematical Modeling Identify Determinants of Attenuation of Dengue Virus 2’-O-Methylation Mutant
Dengue virus (DENV) is the most common mosquito-transmitted virus infecting ~390 million people worldwide. In spite of this high medical relevance, neither a vaccine nor antiviral therapy is currently available. DENV elicits a strong interferon (IFN) response in infected cells, but at the same time...
Autores principales: | , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4697809/ https://www.ncbi.nlm.nih.gov/pubmed/26720415 http://dx.doi.org/10.1371/journal.ppat.1005345 |
_version_ | 1782407986325487616 |
---|---|
author | Schmid, Bianca Rinas, Melanie Ruggieri, Alessia Acosta, Eliana Gisela Bartenschlager, Marie Reuter, Antje Fischl, Wolfgang Harder, Nathalie Bergeest, Jan-Philip Flossdorf, Michael Rohr, Karl Höfer, Thomas Bartenschlager, Ralf |
author_facet | Schmid, Bianca Rinas, Melanie Ruggieri, Alessia Acosta, Eliana Gisela Bartenschlager, Marie Reuter, Antje Fischl, Wolfgang Harder, Nathalie Bergeest, Jan-Philip Flossdorf, Michael Rohr, Karl Höfer, Thomas Bartenschlager, Ralf |
author_sort | Schmid, Bianca |
collection | PubMed |
description | Dengue virus (DENV) is the most common mosquito-transmitted virus infecting ~390 million people worldwide. In spite of this high medical relevance, neither a vaccine nor antiviral therapy is currently available. DENV elicits a strong interferon (IFN) response in infected cells, but at the same time actively counteracts IFN production and signaling. Although the kinetics of activation of this innate antiviral defense and the timing of viral counteraction critically determine the magnitude of infection and thus disease, quantitative and kinetic analyses are lacking and it remains poorly understood how DENV spreads in IFN-competent cell systems. To dissect the dynamics of replication versus antiviral defense at the single cell level, we generated a fully viable reporter DENV and host cells with authentic reporters for IFN-stimulated antiviral genes. We find that IFN controls DENV infection in a kinetically determined manner that at the single cell level is highly heterogeneous and stochastic. Even at high-dose, IFN does not fully protect all cells in the culture and, therefore, viral spread occurs even in the face of antiviral protection of naïve cells by IFN. By contrast, a vaccine candidate DENV mutant, which lacks 2’-O-methylation of viral RNA is profoundly attenuated in IFN-competent cells. Through mathematical modeling of time-resolved data and validation experiments we show that the primary determinant for attenuation is the accelerated kinetics of IFN production. This rapid induction triggered by mutant DENV precedes establishment of IFN-resistance in infected cells, thus causing a massive reduction of virus production rate. In contrast, accelerated protection of naïve cells by paracrine IFN action has negligible impact. In conclusion, these results show that attenuation of the 2’-O-methylation DENV mutant is primarily determined by kinetics of autocrine IFN action on infected cells. |
format | Online Article Text |
id | pubmed-4697809 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-46978092016-01-13 Live Cell Analysis and Mathematical Modeling Identify Determinants of Attenuation of Dengue Virus 2’-O-Methylation Mutant Schmid, Bianca Rinas, Melanie Ruggieri, Alessia Acosta, Eliana Gisela Bartenschlager, Marie Reuter, Antje Fischl, Wolfgang Harder, Nathalie Bergeest, Jan-Philip Flossdorf, Michael Rohr, Karl Höfer, Thomas Bartenschlager, Ralf PLoS Pathog Research Article Dengue virus (DENV) is the most common mosquito-transmitted virus infecting ~390 million people worldwide. In spite of this high medical relevance, neither a vaccine nor antiviral therapy is currently available. DENV elicits a strong interferon (IFN) response in infected cells, but at the same time actively counteracts IFN production and signaling. Although the kinetics of activation of this innate antiviral defense and the timing of viral counteraction critically determine the magnitude of infection and thus disease, quantitative and kinetic analyses are lacking and it remains poorly understood how DENV spreads in IFN-competent cell systems. To dissect the dynamics of replication versus antiviral defense at the single cell level, we generated a fully viable reporter DENV and host cells with authentic reporters for IFN-stimulated antiviral genes. We find that IFN controls DENV infection in a kinetically determined manner that at the single cell level is highly heterogeneous and stochastic. Even at high-dose, IFN does not fully protect all cells in the culture and, therefore, viral spread occurs even in the face of antiviral protection of naïve cells by IFN. By contrast, a vaccine candidate DENV mutant, which lacks 2’-O-methylation of viral RNA is profoundly attenuated in IFN-competent cells. Through mathematical modeling of time-resolved data and validation experiments we show that the primary determinant for attenuation is the accelerated kinetics of IFN production. This rapid induction triggered by mutant DENV precedes establishment of IFN-resistance in infected cells, thus causing a massive reduction of virus production rate. In contrast, accelerated protection of naïve cells by paracrine IFN action has negligible impact. In conclusion, these results show that attenuation of the 2’-O-methylation DENV mutant is primarily determined by kinetics of autocrine IFN action on infected cells. Public Library of Science 2015-12-31 /pmc/articles/PMC4697809/ /pubmed/26720415 http://dx.doi.org/10.1371/journal.ppat.1005345 Text en © 2015 Schmid et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Schmid, Bianca Rinas, Melanie Ruggieri, Alessia Acosta, Eliana Gisela Bartenschlager, Marie Reuter, Antje Fischl, Wolfgang Harder, Nathalie Bergeest, Jan-Philip Flossdorf, Michael Rohr, Karl Höfer, Thomas Bartenschlager, Ralf Live Cell Analysis and Mathematical Modeling Identify Determinants of Attenuation of Dengue Virus 2’-O-Methylation Mutant |
title | Live Cell Analysis and Mathematical Modeling Identify Determinants of Attenuation of Dengue Virus 2’-O-Methylation Mutant |
title_full | Live Cell Analysis and Mathematical Modeling Identify Determinants of Attenuation of Dengue Virus 2’-O-Methylation Mutant |
title_fullStr | Live Cell Analysis and Mathematical Modeling Identify Determinants of Attenuation of Dengue Virus 2’-O-Methylation Mutant |
title_full_unstemmed | Live Cell Analysis and Mathematical Modeling Identify Determinants of Attenuation of Dengue Virus 2’-O-Methylation Mutant |
title_short | Live Cell Analysis and Mathematical Modeling Identify Determinants of Attenuation of Dengue Virus 2’-O-Methylation Mutant |
title_sort | live cell analysis and mathematical modeling identify determinants of attenuation of dengue virus 2’-o-methylation mutant |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4697809/ https://www.ncbi.nlm.nih.gov/pubmed/26720415 http://dx.doi.org/10.1371/journal.ppat.1005345 |
work_keys_str_mv | AT schmidbianca livecellanalysisandmathematicalmodelingidentifydeterminantsofattenuationofdenguevirus2omethylationmutant AT rinasmelanie livecellanalysisandmathematicalmodelingidentifydeterminantsofattenuationofdenguevirus2omethylationmutant AT ruggierialessia livecellanalysisandmathematicalmodelingidentifydeterminantsofattenuationofdenguevirus2omethylationmutant AT acostaelianagisela livecellanalysisandmathematicalmodelingidentifydeterminantsofattenuationofdenguevirus2omethylationmutant AT bartenschlagermarie livecellanalysisandmathematicalmodelingidentifydeterminantsofattenuationofdenguevirus2omethylationmutant AT reuterantje livecellanalysisandmathematicalmodelingidentifydeterminantsofattenuationofdenguevirus2omethylationmutant AT fischlwolfgang livecellanalysisandmathematicalmodelingidentifydeterminantsofattenuationofdenguevirus2omethylationmutant AT hardernathalie livecellanalysisandmathematicalmodelingidentifydeterminantsofattenuationofdenguevirus2omethylationmutant AT bergeestjanphilip livecellanalysisandmathematicalmodelingidentifydeterminantsofattenuationofdenguevirus2omethylationmutant AT flossdorfmichael livecellanalysisandmathematicalmodelingidentifydeterminantsofattenuationofdenguevirus2omethylationmutant AT rohrkarl livecellanalysisandmathematicalmodelingidentifydeterminantsofattenuationofdenguevirus2omethylationmutant AT hoferthomas livecellanalysisandmathematicalmodelingidentifydeterminantsofattenuationofdenguevirus2omethylationmutant AT bartenschlagerralf livecellanalysisandmathematicalmodelingidentifydeterminantsofattenuationofdenguevirus2omethylationmutant |