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SUMMARY:Stochastic Modelling of Nanog-Oct4-Sox2 Gene Regulatory Network - 
 Yang Luo (University of Cambridge)
DTSTART:20091019T160000Z
DTEND:20091019T170000Z
UID:TALK20821@talks.cam.ac.uk
CONTACT:Simon Byrne
DESCRIPTION:Embryonic Stem (ES) cells have the unique property of being ab
 le to self-renew indefinitely and differentiate to all three germ layers (
 endoderm\, mesoderm\, ectoderm). Understanding the factors that determine 
 the ability of ES cells to maintain their pluripotency is crucial in \nste
 m cell research. Using flow cytometry data of Nanog expression levels with
 in a single cell. We model the distributions of Nanog expression levels ov
 er time to understand the role of transcriptional fluctuation \nin maintai
 ning the pluripotent state of ES cells.\n\nWe use phase plane analysis\, b
 ifurcation theory and stability analysis to understand how noise affects t
 he dynamics of different systems (such as bistable systems or excitable sy
 stems)\, in comparison to deterministic models. Further\, we apply Approxi
 mate Bayesian Computation (ABC) schemes to validate our suggested model an
 d infer parameters. With this\, we may make predictions about the nature o
 f the biological \nprocesses in a manner that may be tested experimentally
 .\n
LOCATION:MR12\, CMS\, Wilberforce Road\, Cambridge\, CB3 0WB
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