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          Institute: MPI für Dynamik komplexer technischer Systeme     Collection: Bioprocess Engineering     Display Documents

ID: 635048.0, MPI für Dynamik komplexer technischer Systeme / Bioprocess Engineering
Stochastic Modelling of the Intracellular Replication of Influenza Virsu during Vaccine Production
Authors:Dorl, Sebastian
Date of Approval (YYYY-MM-DD):2013-03-11
Type of Thesis (e.g.Diploma):bachelor
Name of University:Otto-von-Guericke-Universität
Place of University:Magdeburg
Physical Description 
(e.g. Total Number of Pages):
52 p.
Audience:Experts Only
Abstract / Description:We performed stochastic simulations of a mathematical model of influenza A infection
in mammalian cells that incorporates virus entry, viral replication, and virion release
on a single-cell level. Simulations were conducted using tau-leaping (a variation of the
Gillespie algorithm) and initial conditions corresponding to an MOI of 1, 3, and 10
respectively. Results for high MOI were equivalent to comparable deterministic simula-
tions. However, predicted virus yields dropped significantly in low MOI situations due
to virion degradation in endosomes and an increase of variance in virus entry time. Our
findings highlight the role of the MOI as a process parameter with complex effects on
virus entry dynamics. In contrast, the dynamics of viral replication were observed to
vary little between individual simulations with the onset time of replication showing the
greatest difference. Analysis of the time course of variance revealed that the distribution
width of viral components increases during early replication but starts to monotonically
decrease at later time points. We propose that the regulatory effect of the matrix protein
M1 is a major factor in reducing noise created by stochastic effects in influenza virus in-
fection. These findings take a step towards quantifying the intrinsic sources of stochastic
fluctuations during the intracellular influenza virus life cycle.
Document Type:Thesis
Communicated by:Udo Reichl
Affiliations:MPI für Dynamik komplexer technischer Systeme/Bioprocess Engineering
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