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细胞分化的转录调控网络:来自辅助性T淋巴细胞的见解

Transcriptional control networks of cell differentiation: insights from helper T lymphocytes.

作者信息

Mariani Luca, Löhning Max, Radbruch Andreas, Höfer Thomas

机构信息

Department of Theoretical Biophysics, Institute of Biology, Humboldt University Berlin, Invalidenstrasse 42, 10115 Berlin, Germany.

出版信息

Prog Biophys Mol Biol. 2004 Sep;86(1):45-76. doi: 10.1016/j.pbiomolbio.2004.02.007.

Abstract

Coordinated programs of gene expression during cell differentiation can be controlled by master transcription factors. The differentiation of helper T (Th) lymphocytes during the immune response has been shown to occur along alternative pathways designated as Th1 and Th2. Induction of the Th1 and Th2 pathways is associated with the conversely regulated expression of the master factors T-bet and GATA-3, respectively. Both autoactivation and inhibition of GATA-3 play a crucial role in this process. We develop mathematical models of the underlying regulatory networks to provide a framework for the analysis of experimental data. Modeling concepts for gene expression dynamics are introduced, and paradigms for the behavior of gene-regulatory networks are reviewed. A mechanistic model for the regulation of GATA-3 in Th cells is developed that accounts for autoactivation and regulation by external differentiation signals. This system works as a bistable switch that enables the triggering of a differentiation program by transient inductive signals. GATA-3 inhibitors (such as FOG-1 and ROG) modulate GATA-3 expression by yet unidentified mechanisms. Three potential modes of inhibition, sequestration by a binding protein, repression of basal transcription, and repression of autoactivation, are predicted to have distinct, and strongly concentration-dependent, regulatory effects on GATA-3 dynamics. Based on these results, we develop a model for the cross-regulation of the alternative Th1 and Th2 differentiation programs which are governed by the dynamics of T-bet and GATA-3, respectively. The steady states of this model correlate with naïve, Th1-polarized, and Th2-polarized phenotypes. Our analysis makes predictions on the stability of the Th1 and Th2 programs and raises questions on the relation between transcription factor regulation and epigenetic determination in cell differentiation.

摘要

细胞分化过程中基因表达的协调程序可由主转录因子控制。免疫反应过程中辅助性T(Th)淋巴细胞的分化已显示沿着称为Th1和Th2的替代途径发生。Th1和Th2途径的诱导分别与主因子T-bet和GATA-3的相反调节表达相关。GATA-3的自激活和抑制在这一过程中都起着关键作用。我们开发了潜在调控网络的数学模型,为实验数据分析提供框架。引入了基因表达动力学的建模概念,并回顾了基因调控网络的行为范式。建立了一个Th细胞中GATA-3调控的机制模型,该模型考虑了自激活和外部分化信号的调节。这个系统作为一个双稳态开关,能够通过瞬时诱导信号触发分化程序。GATA-3抑制剂(如FOG-1和ROG)通过尚未明确的机制调节GATA-3的表达。预测三种潜在的抑制模式,即被结合蛋白隔离、基础转录抑制和自激活抑制,对GATA-3动力学具有不同的、且强烈依赖浓度的调节作用。基于这些结果,我们开发了一个模型,用于分别由T-bet和GATA-3动力学控制的替代Th1和Th2分化程序的交叉调节。该模型的稳态与未分化、Th1极化和Th2极化表型相关。我们的分析对Th1和Th2程序的稳定性做出了预测,并提出了关于细胞分化中转录因子调节与表观遗传决定之间关系的问题。

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