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SUMMARY:Stochastic dynamics of Francisella Tularensis infection - Grant Ly
 the (University of Leeds)
DTSTART:20200707T130500Z
DTEND:20200707T133000Z
UID:TALK149863@talks.cam.ac.uk
CONTACT:INI IT
DESCRIPTION:Jonty Carruthers\, Martin Lopez-Garcia\, Grant Lythe\, Carmen 
 Molina-Paris (Leeds). Joseph Gillard\, Thomas R Laws\, Roman Lukaszewski(D
 stl)With a mouse infection model\, agent-based computation and mathematica
 l analysis\, we study the pathogenesis of Francisella Tularensisinfection.
  A small initial number of bacteria enter host cells and proliferate insid
 e them\, eventually destroying the host cell and releasing numerous copies
  that infect other cells. Our analysis of disease progression is based on 
 a stochastic model of a population of infectious agents inside one host ce
 ll\, extending the birth-and-death process by the occurrence of catastroph
 es: cell rupture events that affect all bacteria in a cell simultaneously.
  We compare our analysis with the results of agent-based computation and\,
  via Approximate Bayesian Computation\, with experimental measurements car
 ried out after of murine aerosol infection with the virulent SCHU S4 strai
 n of the bacterium.If I have time\, I will also talk about Ebola\, still a
  significant risk to humankind. Synthetic virology has been used to clone 
 and manufacture two deletion defective genomes. These genomes were tested 
 with Ebola virus using in vitro cell culture and shown to inhibit viral re
 plication. From in vitro experimental data\, we identify parameters in a m
 athematical model of the infection. We examine the time an infected cell s
 pends in the eclipse phase (the period between infection and the start of 
 virus production)\, as well as the rate at which infectious virions lose i
 nfectivity.
LOCATION:Seminar Room 2\, Newton Institute
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