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  Infection dynamics and virus-induced apoptosis in cell culture-based influenza vaccine production – flow cytometry and mathematical modeling

Schulze-Horsel, J., Schulze, M., Agalaridis, G., Genzel, Y., & Reichl, U. (2009). Infection dynamics and virus-induced apoptosis in cell culture-based influenza vaccine production – flow cytometry and mathematical modeling. Vaccine, 27(20), 2712-2722. doi:10.1016/j.vaccine.2009.02.027.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-9340-9 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0014-A584-6
Genre: Journal Article

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 Creators:
Schulze-Horsel, J.1, Author              
Schulze, M.2, Author              
Agalaridis, G.3, Author              
Genzel, Y.1, Author              
Reichl, U.1, 4, Author              
Affiliations:
1Bioprocess Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738140              
2TU Berlin, ou_persistent22              
3Hochschule Furtwangen, University of Applied Sciences, Villingen-Schwenningen, Germany, ou_persistent22              
4Otto-von-Guericke-Universität Magdeburg, ou_1738156              

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 Abstract: Cell culture-based influenza vaccine manufacturing is of growing importance. Depending on virus strains, differences in infection dynamics, virus-induced apoptosis, cell lysis and virus yields are observed. Comparatively little is known concerning details of virus-host cell interaction on a cellular level and virus spreading in a population of cells in bioreactors. In this study, the infection of MDCK cells with different influenza A virus strains in lab-scale microcarrier culture was investigated by flow cytometry. Together with the infection status of cells, virus-induced apoptosis was monitored. A mathematical model has been formulated to describe changes in the concentration of uninfected and infected adherent cells, dynamics of virus particle release (infectious virions, hemgglutinin content), and the time course of the percentage composition of the cell population. (C) 2009 Elsevier Ltd. All rights reserved. [accessed November 27, 2009]

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Language(s): eng - English
 Dates: 2009
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: eDoc: 399016
Other: 57/09
DOI: 10.1016/j.vaccine.2009.02.027
 Degree: -

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Title: Vaccine
Source Genre: Journal
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Publ. Info: Guildford, Surrey, UK : Elsevier
Pages: - Volume / Issue: 27 (20) Sequence Number: - Start / End Page: 2712 - 2722 Identifier: ISSN: 0264-410X
CoNE: /journals/resource/954925498091