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

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SDB - Stochastic dynamical systems in biology: numerical methods and applications

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.

This talk is part of the Isaac Newton Institute Seminar Series series.

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