Modeling and stochastic analysis of autoregulation of the Krox20 transcription factor driving cellular diversification and hindbrain patterning
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About this item
| Description: |
Reingruber, J
Tuesday 17th May 2016 - 15:00 to 16:00 |
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| Created: | 2016-06-01 13:03 |
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| 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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