Robustness and fragility of Boolean models for genetic regulatory networks
Robustness and fragility of Boolean models for genetic regulatory networks
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DOI：
10.1016/j.jtbi.2005.01.023
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发表时间：
2005-08-07
影响因子：
2
通讯作者：
Sontag, ED
中科院分区：
文献类型：
--
作者：
Chaves, M;Albert, R;Sontag, ED
基因和基因产物之间的相互作用产生了复杂的电路，使细胞能够处理信息并对外部信号做出反应。理论研究通常使用连续、随机或逻辑的方法来描述这些交互作用。我们提出了一个新的基因调控网络建模框架，它结合了基因状态定性描述的直观吸引力和在细胞过程持续时间中纳入随机性的高度灵活性。我们将我们的方法应用于片段极性基因的调控网络，从而获得了对基因表达模式发展的新见解。例如，我们证明了非常短的合成和衰变时间可以扰乱野生型图案。另一方面，翻译前和翻译后过程之间的时间尺度的分离和最小的前模式确保了无论波动如何都收敛到野生型表达模式。(C)2005爱思唯尔有限公司。保留所有权利。
Interactions between genes and gene products give rise to complex circuits that enable cells to process information and respond to external signals. Theoretical studies often describe these interactions using continuous, stochastic, or logical approaches. We propose a new modeling framework for gene regulatory networks, that combines the intuitive appeal of a qualitative description of gene states with a high flexibility in incorporating stochasticity in the duration of cellular processes. We apply our methods to the regulatory network of the segment polarity genes, thus gaining novel insights into the development of gene expression patterns. For example, we show that very short synthesis and decay times can perturb the wild-type pattern. On the other hand, separation of time-scales between pre- and post-translational processes and a minimal prepattern ensure convergence to the wild-type expression pattern regardless of fluctuations. (c) 2005 Elsevier Ltd. All rights reserved.