Modeling and stochastic analysis of autoregulation of the Krox20 transcription factor driving cellular diversification and hindbrain patterning

52 mins 23 secs,  750.61 MB,  MPEG-4 Video  640x360,  29.97 fps,  44100 Hz,  1.91 Mbits/sec
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Description: Reingruber, J
Tuesday 17th May 2016 - 15:00 to 16:00
 
Created: 2016-06-01 13:03
Collection: Stochastic Dynamical Systems in Biology: Numerical Methods and Applications
Publisher: Isaac Newton Institute
Copyright: Reingruber, J
Language: eng (English)
 
Abstract: I will present the molecular implementation and function of the autoregulatory loop that amplifies and maintains the expression of Krox20, a transcription factor governing vertebrate hindbrain segmentation. By combining data analysis, biophysical modeling, stochastic analysis and simulations, I dissect the autoregulation process as a function of an initiation signal that leads to promoter activation and subsequent mRNA and protein production. Autoregulation generates a bistable switch that turns a transient initiation signal into a persistent cell fate. The duration and strength of the input signal controls patterning by modulating the distribution between the cell fates.
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