Noise-reduction through interaction in gene expression and biochemical reaction processes
Noise-reduction through interaction in gene expression and biochemical reaction processes
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DOI：
10.1016/j.jtbi.2004.01.007
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发表时间：
2004-06-07
影响因子：
2
通讯作者：
Aihara, K
中科院分区：
文献类型：
--
作者：
Morishita, Y;Aihara, K
我们证明，基因表达和生化反应过程中的相互作用对减少波动有显著影响。特别是，我们发现合成的蛋白质和背景分子之间的相互作用可以减少基因表达的波动水平，这与背景因素通过增加噪声水平来干扰遗传网络中的信息处理的直觉是相反的。这一事实也表明，在实际细胞中观察到的大分子拥挤可以有助于降低噪声水平。此外，这种降噪现象并不局限于蛋白质与背景分子之间的相互作用，还可以应用于其他反应，如二聚化过程和由本征噪声引起的大波动反应的耦合。最后，在这些结果的基础上，我们提出了一种新的可行的方法来减少合成遗传网络中产生的波动，并讨论了该方法对利用触发开关模型实现系统动力学镇定的适用性。(C)2004爱思唯尔有限公司。保留所有权利。
We demonstrate that interaction in gene expression and biochemical reaction processes has a significant influence on reducing fluctuations. Especially, we have found that the interaction between synthesized proteins and background molecules can reduce the fluctuation level in gene expression, which is a counter example to the intuition that background factors disturb information processing in genetic networks by increasing the noise level. This fact also indicates that the macromolecular crowding observed in actual cells can contribute to reduce the noise level. In addition, the noise-reduction phenomenon is not limited to the interaction between the proteins and background molecules, but can be applied to other reactions such as a dimerization process and the coupling of reactions with large fluctuations by intrinsic noise. Finally, on the basis of these results, we propose a new and plausible method for reducing the fluctuations generated in synthesized genetic networks, and also discuss the applicability of this method to the stabilization of system dynamics by using a toggle switch model. (C) 2004 Elsevier Ltd. All rights reserved.