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SUMMARY:Computational Models of the Development of the Central Nervous Sys
 tem  - Dagmar Iber\, ETH Zurich (Computational Biology)  
DTSTART:20221107T143000Z
DTEND:20221107T153000Z
UID:TALK183119@talks.cam.ac.uk
CONTACT:Elena Scarpa
DESCRIPTION:The central nervous system develops from the neural plate\, wh
 ich folds into the neural tube. Subsequently\, morphogen gradients define 
 distinct neural progenitor domains along the dorsal-ventral axis\, which g
 ive rise to the central nervous system. In my talk\, I will present recent
  work from the group that addressed the folding mechanism of the neural tu
 be [1]\, and that showed that the gradient-based patterning is much more p
 recise than previously thought [2]. With the help of cell-based modelling\
 , we further found that high patterning precision requires small cell diam
 eters\, pointing to the long-elusive evolutionary driving force behind the
  emergence of pseudostratified epithelia [3\,4]. Finally\, I will discuss 
 the biophysical constraints that define the complex shape of cells in pseu
 dostratified epithelia [5-8]\, and present our recently developed 3D simul
 ation framework for the data-driven simulation of epithelial cell dynamics
 . 
LOCATION:Online
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