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基因调控网络的数学模型协调了遗传扰动对造血干细胞出现的影响。

Mathematical model of a gene regulatory network reconciles effects of genetic perturbations on hematopoietic stem cell emergence.

机构信息

Department of Bioengineering, Rice University, Houston, TX, USA.

出版信息

Dev Biol. 2013 Jul 15;379(2):258-69. doi: 10.1016/j.ydbio.2013.04.016. Epub 2013 Apr 23.

DOI:10.1016/j.ydbio.2013.04.016
PMID:23623899
Abstract

Interlinked gene regulatory networks (GRNs) are vital for the spatial and temporal control of gene expression during development. The hematopoietic transcription factors (TFs) Scl, Gata2 and Fli1 form one such densely connected GRN which acts as a master regulator of embryonic hematopoiesis. This triad has been shown to direct the specification of the hemogenic endothelium and emergence of hematopoietic stem cells (HSCs) in response to Notch1 and Bmp4-Smad signaling. Here we employ previously published data to construct a mathematical model of this GRN network and use this model to systematically investigate the network dynamical properties. Our model uses a statistical-thermodynamic framework to describe the combinatorial regulation of gene expression and reconciles, mechanistically, several previously published but unexplained results from different genetic perturbation experiments. In particular, our results demonstrate how the interactions of Runx1, an essential hematopoietic TF, with components of the Bmp4 signaling pathway allow it to affect triad activation and acts as a key regulator of HSC emergence. We also explain why heterozygous deletion of this essential TF, Runx1, speeds up the network dynamics leading to accelerated HSC emergence. Taken together our results demonstrate that the triad, a master-level controller of definitive hematopoiesis, is an irreversible bistable switch whose dynamical properties are modulated by Runx1 and components of the Bmp4 signaling pathway.

摘要

相互关联的基因调控网络(GRN)对于发育过程中基因表达的时空控制至关重要。造血转录因子(TF)Scl、Gata2 和 Fli1 形成了这样一个密集连接的 GRN,作为胚胎造血的主要调节因子。已经表明,该三联体指导造血内皮的特化和造血干细胞(HSCs)的出现,以响应 Notch1 和 Bmp4-Smad 信号。在这里,我们利用先前发表的数据构建了这个 GRN 网络的数学模型,并使用该模型系统地研究了网络动态特性。我们的模型使用统计热力学框架来描述基因表达的组合调控,并从不同的遗传扰动实验中协调解释几个先前发表但未解释的结果。特别是,我们的结果表明,造血 TF Runx1 与 Bmp4 信号通路成分的相互作用如何使其能够影响三联体的激活,并作为 HSC 出现的关键调节剂。我们还解释了为什么这种必需的 TF,Runx1 的杂合缺失会加速网络动力学,导致 HSC 更快地出现。总之,我们的结果表明,作为确定性造血的主控级控制器的三联体是一个不可逆的双稳态开关,其动力学特性由 Runx1 和 Bmp4 信号通路的成分调节。

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