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SUMMARY:Estimation\, Identification and control of cell populations - Prof
 essor John Lygeros (Head of the Automatic Control Laboratory\, ETH Zurich)
DTSTART:20120507T130000Z
DTEND:20120507T140000Z
UID:TALK37866@talks.cam.ac.uk
CONTACT:Dr Jason Z JIANG
DESCRIPTION:The talk will discuss the use of stochastic models in the mole
 cular biology of populations of cells. The starting point will be standard
  models of chemical reaction systems based on the Chemical Master Equation
  and its variants such as the moment equations\; in our context the predic
 tions of these equations will be interpreted as statistics of molecule cou
 nts across different cells in the population. We will first concentrate on
  state estimation based on single cell measurements\, obtained for example
  by flow cytometry. We will also discuss how the same filtering method can
  be used "in silico"\, to speed up stochastic simulation by filtering its 
 results through the moment equations. We will then turn to system identifi
 cation\, in particular the estimation of extrinsic noise arising out of re
 action rate variability. Finally\, we will discuss control of the statisti
 cs of cell populations using external\, macroscopic control signals\, spec
 ifically light activated gene transcription. The theoretical discussion wi
 ll be complemented by experimental results in yeast.
LOCATION:Cambridge University Engineering Department\, LR5
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