Spatial stochastic modelling of the Hes1 gene regulatory network: intrinsic noise can explain heterogeneity in embryonic stem cell differentiation |
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| Authors: | Marc Sturrock Andreas Hellander Anastasios Matzavinos Mark A. J. Chaplain |
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| Affiliation: | 1Department of Mathematics, University of Dundee, Dundee DD1 4HN, UK;2Department of Computer Science, University of California, Santa Barbara, CA 93106, USA;3Division of Mathematics, Iowa State University, Ames, IA 50011, USA |
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| Abstract: | Individual mouse embryonic stem cells have been found to exhibit highly variable differentiation responses under the same environmental conditions. The noisy cyclic expression of Hes1 and its downstream genes are known to be responsible for this, but the mechanism underlying this variability in expression is not well understood. In this paper, we show that the observed experimental data and diverse differentiation responses can be explained by a spatial stochastic model of the Hes1 gene regulatory network. We also propose experiments to control the precise differentiation response using drug treatment. |
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| Keywords: | Hes1 spatial stochastic modelling negative feedback loop simulation |
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