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Hes1 基因调控网络的空间随机建模:本征噪声可以解释胚胎干细胞分化中的异质性。

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

机构信息

Department of Mathematics, University of Dundee, , Dundee DD1 4HN, UK.

出版信息

J R Soc Interface. 2013 Jan 16;10(80):20120988. doi: 10.1098/rsif.2012.0988. Print 2013 Mar 6.

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.

摘要

已经发现,在相同的环境条件下,单个小鼠胚胎干细胞表现出高度可变的分化反应。众所周知,Hes1 及其下游基因的嘈杂循环表达是造成这种情况的原因,但这种表达变异性的机制尚不清楚。在本文中,我们表明,可以通过 Hes1 基因调控网络的空间随机模型来解释观察到的实验数据和不同的分化反应。我们还提出了使用药物治疗来控制精确分化反应的实验方案。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b0c3/3565746/f925927c9c5b/rsif20120988-g1.jpg

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