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SUMMARY:Modelling and Analysis of Gene Expression Oscillations during Neur
 al Development
DTSTART:20160624T110000
DTSTAMP:20260929T050143Z
UID:39c3344c819cf95f7698a9caf4dc7793da081f9db778cf2641e26a5f
CATEGORIES:Conferences - Seminars
DESCRIPTION:Nick Phillips\, Ph.D.\, Nancy Papalopulu lab\, University of M
 anchester (UK)\nBIOENGINEERING SEMINARAbstract:\nThe timing of differentia
 tion underlies the development of any organ system. In neural development 
 the expression of the transcription factor Hes1 has been shown to be oscil
 latory in neural progenitors\, but it is expressed at a low steady state i
 n differentiated neurons. We previously constructed a mathematical model t
 o describe how oscillations of Hes1 are controlled and terminated in neura
 l development using deterministic delay differential equations.\nHowever\,
  biochemical reactions are the result of random encounters between discret
 e numbers of molecules\, and some of these molecules may be present at low
  numbers. The finite number of molecules interacting within the system lea
 ds to inherent randomness\, and this is known as intrinsic stochasticity.\
 nFirstly\, I will show that stochasticity has the effect of systematically
  changing the timing of differentiation within the model. Secondly\, I wil
 l introduce a new analysis method using Gaussian Processes to classify gen
 e expression as oscillatory or non-oscillatory within single cell live ima
 ging data generated within the lab. Finally\, I will show that the combina
 tion of stochasticity\, delay and nonlinearity leads to emergent dynamics 
 that are not understood at a theoretical level. We develop a theory to exp
 lain these effects and apply it to a simple model of gene regulation.
LOCATION:AI 1 153 http://map.epfl.ch/?room=ai1153
STATUS:CONFIRMED
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