Literature DB >> 11735454

Quantifying viral propagation in vitro: toward a method for characterization of complex phenotypes.

K A Duca1, V Lam, I Keren, E E Endler, G J Letchworth, I S Novella, J Yin.   

Abstract

For a eukaryotic virus to successfully infect and propagate in cultured cells several events must occur: the virion must identify and bind to its cellular receptor, become internalized, uncoat, synthesize viral proteins, replicate its genome, assemble progeny virions, and exit the host cell. While these events are taking place, intrinsic host defenses activate in order to defeat the virus, e.g., activation of the interferon system, induction of apoptosis, and attempted elicitation of immune responses via chemokine and cytokine production. As a first step in developing an imaging methodology to facilitate direct observation of such complex host/virus dynamics, we have designed an immunofluorescence-based system that extends the traditional plaque assay, permitting simultaneous quantification of the rate of viral spread, as indicated by the presence of a labeled viral protein, and cell death in vitro, as indicated by cell loss. We propose that our propagation and cell death profiles serve as phenotypic read-outs, complementing genetic analysis of viral strains. As our virus/host system we used vesicular stomatitis virus (VSV) propagating in hamster kidney epithelial (BHK-21) and murine astrocytoma (DBT) cell lines. Viral propagation and death profiles were strikingly different in these two cell lines, displaying both very different initial titer and cell age effects. The rate of viral spread and cell death tracked reliably in both cell lines. In BHK-21 cells, the rate of viral propagation, as well as maximal spread, was relatively insensitive to initial titer and was roughly linear over several days. In contrast, viral plaque expansion in DBT cells was contained early in the infections with high titers, while low titer infections spread in a manner similar to the BHK-21 cells. The effect of cell age on infection spread was negligible in BHK-21 cells but not in DBTs. Neither of these effects was clearly observed by plaque assay.

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Year:  2001        PMID: 11735454     DOI: 10.1021/bp010115m

Source DB:  PubMed          Journal:  Biotechnol Prog        ISSN: 1520-6033


  10 in total

1.  Image-guided modeling of virus growth and spread.

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2.  Visualizing infection spread: dual-color fluorescent reporting of virus-host interactions.

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Journal:  Biotechnol Bioeng       Date:  2013-12-28       Impact factor: 4.530

3.  Quantitative profiling of innate immune activation by viral infection in single cells.

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4.  Clonal variation in interferon response determines the outcome of oncolytic virotherapy in mouse CT26 colon carcinoma model.

Authors:  J J Ruotsalainen; M U Kaikkonen; M Niittykoski; M W Martikainen; C G Lemay; J Cox; N S De Silva; A Kus; T J Falls; J-S Diallo; F Le Boeuf; J C Bell; S Ylä-Herttuala; A E Hinkkanen; M J Vähä-Koskela
Journal:  Gene Ther       Date:  2014-09-18       Impact factor: 5.250

5.  Dynamics of virus spread in the presence of fluid flow.

Authors:  Samartha G Anekal; Ying Zhu; Michael D Graham; John Yin
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6.  Resistance to two heterologous neurotropic oncolytic viruses, Semliki Forest virus and vaccinia virus, in experimental glioma.

Authors:  Markus J V Vähä-Koskela; Fabrice Le Boeuf; Chantal Lemay; Naomi De Silva; Jean-Simon Diallo; Julie Cox; Michelle Becker; Youngmin Choi; Abhirami Ananth; Clara Sellers; Sophie Breton; Dominic Roy; Theresa Falls; Jan Brun; Akseli Hemminki; Ari Hinkkanen; John C Bell
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7.  Agent-based modeling of host-pathogen systems: The successes and challenges.

Authors:  Amy L Bauer; Catherine A A Beauchemin; Alan S Perelson
Journal:  Inf Sci (N Y)       Date:  2009-04-29       Impact factor: 6.795

8.  Viral epidemics in a cell culture: novel high resolution data and their interpretation by a percolation theory based model.

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9.  A quantitative infection assay for human type I, II, and III interferon antiviral activities.

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Journal:  Virol J       Date:  2013-07-06       Impact factor: 4.099

10.  Spatial-Temporal Patterns of Viral Amplification and Interference Initiated by a Single Infected Cell.

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  10 in total

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