Literature DB >> 15384040

Structured model of influenza virus replication in MDCK cells.

Y Sidorenko1, U Reichl.   

Abstract

Intracellular events that take place during influenza virus replication in animal cells are well understood qualitatively. However, to better understand the complex interaction of the virus with its host cell and to quantitatively analyze the use of cellular resources for virion formation or the overall dynamic for the entire infection cycle, a mathematical model for influenza virus replication has to be formulated. Here, we present a structured model for the single-cell reproductive cycle of influenza A virus in animal cells that accounts for the individual steps of the process such as attachment, internalization, genome replication and translation, and progeny virion assembly. The model describes an average cell surrounded by a small quantity of medium and infected by a low number of virus particles. The model allows estimation of the cellular resources consumed by virus replication. Simulation results show that the number of cellular surface receptors and endosomes, as well as other resources, such as the number of free nucleotides or amino acids, is not significantly influenced by influenza virus propagation. A factor that limits the growth rate of progeny viruses and their release is the total amount of matrix proteins (M1) in the nucleus while other newly synthesized viral proteins (e.g., nucleoprotein NP) and viral RNAs accumulate. During budding, synthesis of vRNPs (viral ribonucleoprotein complexes) represents another limiting factor. Based on this model it is also possible to analyze effects of parameter changes on the dynamics of virus replication, to identify possible targets for molecular engineering, or to develop strategies for improving yields in vaccine production processes. Furthermore, a better insight into the interactions of viruses and host cells might help to improve our understanding of virus-related diseases and to develop therapies.

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Year:  2004        PMID: 15384040     DOI: 10.1002/bit.20096

Source DB:  PubMed          Journal:  Biotechnol Bioeng        ISSN: 0006-3592            Impact factor:   4.530


  46 in total

1.  Optimal viral strategies for bypassing RNA silencing.

Authors:  Guillermo Rodrigo; Javier Carrera; Alfonso Jaramillo; Santiago F Elena
Journal:  J R Soc Interface       Date:  2010-06-23       Impact factor: 4.118

2.  The potential for respiratory droplet-transmissible A/H5N1 influenza virus to evolve in a mammalian host.

Authors:  Colin A Russell; Judith M Fonville; André E X Brown; David F Burke; David L Smith; Sarah L James; Sander Herfst; Sander van Boheemen; Martin Linster; Eefje J Schrauwen; Leah Katzelnick; Ana Mosterín; Thijs Kuiken; Eileen Maher; Gabriele Neumann; Albert D M E Osterhaus; Yoshihiro Kawaoka; Ron A M Fouchier; Derek J Smith
Journal:  Science       Date:  2012-06-22       Impact factor: 47.728

3.  Modeling the intracellular dynamics of influenza virus replication to understand the control of viral RNA synthesis.

Authors:  Frank S Heldt; Timo Frensing; Udo Reichl
Journal:  J Virol       Date:  2012-05-16       Impact factor: 5.103

4.  Towards a quantitative understanding of the within-host dynamics of influenza A infections.

Authors:  Andreas Handel; Ira M Longini; Rustom Antia
Journal:  J R Soc Interface       Date:  2009-05-27       Impact factor: 4.118

Review 5.  The evolution of seasonal influenza viruses.

Authors:  Velislava N Petrova; Colin A Russell
Journal:  Nat Rev Microbiol       Date:  2017-10-30       Impact factor: 60.633

6.  Replication mode and landscape topology differentially affect RNA virus mutational load and robustness.

Authors:  Josep Sardanyés; Ricard V Solé; Santiago F Elena
Journal:  J Virol       Date:  2009-09-23       Impact factor: 5.103

7.  The SUMOylation of matrix protein M1 modulates the assembly and morphogenesis of influenza A virus.

Authors:  Chung-Yi Wu; King-Song Jeng; Michael M-C Lai
Journal:  J Virol       Date:  2011-04-20       Impact factor: 5.103

8.  Dynamics of alternative modes of RNA replication for positive-sense RNA viruses.

Authors:  Josep Sardanyés; Fernando Martínez; José-Antonio Daròs; Santiago F Elena
Journal:  J R Soc Interface       Date:  2011-09-07       Impact factor: 4.118

9.  How sticky should a virus be? The impact of virus binding and release on transmission fitness using influenza as an example.

Authors:  Andreas Handel; Victoria Akin; Sergei S Pilyugin; Veronika Zarnitsyna; Rustom Antia
Journal:  J R Soc Interface       Date:  2014-01-15       Impact factor: 4.118

Review 10.  A Structural and Mathematical Modeling Analysis of the Likelihood of Antibody-Dependent Enhancement in Influenza.

Authors:  Boopathy Ramakrishnan; Karthik Viswanathan; Kannan Tharakaraman; Vlado Dančík; Rahul Raman; Gregory J Babcock; Zachary Shriver; Ram Sasisekharan
Journal:  Trends Microbiol       Date:  2016-10-14       Impact factor: 17.079

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