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Exploratory Spatial Analysis of in vitro Respiratory Syncytial Virus Co-infections

The cell response to virus infection and virus perturbation of that response is dynamic and is reflected by changes in cell susceptibility to infection. In this study, we evaluated the response of human epithelial cells to sequential infections with human respiratory syncytial virus strains A2 and B...

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Autores principales: Simeonov, Ivan, Gong, Xiaoyan, Kim, Oekyung, Poss, Mary, Chiaromonte, Francesca, Fricks, John
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3185596/
https://www.ncbi.nlm.nih.gov/pubmed/21994640
http://dx.doi.org/10.3390/v2122782
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author Simeonov, Ivan
Gong, Xiaoyan
Kim, Oekyung
Poss, Mary
Chiaromonte, Francesca
Fricks, John
author_facet Simeonov, Ivan
Gong, Xiaoyan
Kim, Oekyung
Poss, Mary
Chiaromonte, Francesca
Fricks, John
author_sort Simeonov, Ivan
collection PubMed
description The cell response to virus infection and virus perturbation of that response is dynamic and is reflected by changes in cell susceptibility to infection. In this study, we evaluated the response of human epithelial cells to sequential infections with human respiratory syncytial virus strains A2 and B to determine if a primary infection with one strain will impact the ability of cells to be infected with the second as a function of virus strain and time elapsed between the two exposures. Infected cells were visualized with fluorescent markers, and location of all cells in the tissue culture well were identified using imaging software. We employed tools from spatial statistics to investigate the likelihood of a cell being infected given its proximity to a cell infected with either the homologous or heterologous virus. We used point processes, K-functions, and simulation procedures designed to account for specific features of our data when assessing spatial associations. Our results suggest that intrinsic cell properties increase susceptibility of cells to infection, more so for RSV-B than for RSV-A. Further, we provide evidence that the primary infection can decrease susceptibility of cells to the heterologous challenge virus but only at the 16 h time point evaluated in this study. Our research effort highlights the merits of integrating empirical and statistical approaches to gain greater insight on in vitro dynamics of virus-host interactions.
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spelling pubmed-31855962011-10-12 Exploratory Spatial Analysis of in vitro Respiratory Syncytial Virus Co-infections Simeonov, Ivan Gong, Xiaoyan Kim, Oekyung Poss, Mary Chiaromonte, Francesca Fricks, John Viruses Article The cell response to virus infection and virus perturbation of that response is dynamic and is reflected by changes in cell susceptibility to infection. In this study, we evaluated the response of human epithelial cells to sequential infections with human respiratory syncytial virus strains A2 and B to determine if a primary infection with one strain will impact the ability of cells to be infected with the second as a function of virus strain and time elapsed between the two exposures. Infected cells were visualized with fluorescent markers, and location of all cells in the tissue culture well were identified using imaging software. We employed tools from spatial statistics to investigate the likelihood of a cell being infected given its proximity to a cell infected with either the homologous or heterologous virus. We used point processes, K-functions, and simulation procedures designed to account for specific features of our data when assessing spatial associations. Our results suggest that intrinsic cell properties increase susceptibility of cells to infection, more so for RSV-B than for RSV-A. Further, we provide evidence that the primary infection can decrease susceptibility of cells to the heterologous challenge virus but only at the 16 h time point evaluated in this study. Our research effort highlights the merits of integrating empirical and statistical approaches to gain greater insight on in vitro dynamics of virus-host interactions. Molecular Diversity Preservation International (MDPI) 2010-12-22 /pmc/articles/PMC3185596/ /pubmed/21994640 http://dx.doi.org/10.3390/v2122782 Text en © 2010 by the authors; licensee MDPI, Basel, Switzerland. http://creativecommons.org/licenses/by/3.0 This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Simeonov, Ivan
Gong, Xiaoyan
Kim, Oekyung
Poss, Mary
Chiaromonte, Francesca
Fricks, John
Exploratory Spatial Analysis of in vitro Respiratory Syncytial Virus Co-infections
title Exploratory Spatial Analysis of in vitro Respiratory Syncytial Virus Co-infections
title_full Exploratory Spatial Analysis of in vitro Respiratory Syncytial Virus Co-infections
title_fullStr Exploratory Spatial Analysis of in vitro Respiratory Syncytial Virus Co-infections
title_full_unstemmed Exploratory Spatial Analysis of in vitro Respiratory Syncytial Virus Co-infections
title_short Exploratory Spatial Analysis of in vitro Respiratory Syncytial Virus Co-infections
title_sort exploratory spatial analysis of in vitro respiratory syncytial virus co-infections
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3185596/
https://www.ncbi.nlm.nih.gov/pubmed/21994640
http://dx.doi.org/10.3390/v2122782
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