Spatial stochastic modelling of the Hes1 gene regulatory network: intrinsic noise can explain heterogeneity in embryonic stem cell differentiation

Journal of the Royal Society, Interface
Marc SturrockMark A J Chaplain

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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Related Concepts

Stochastic Processes
HES1 gene
Cell Differentiation Process
Homeodomain Proteins
Gene Regulatory Networks
Embryonic Stem Cells
C21orf33 gene
Hes1 protein, mouse
Metazoa
Basic Helix-Loop-Helix Transcription Factors

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