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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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
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