Shibata Tatsuo, Ueda Masahiro
Department of Mathematical and Life Sciences, University of Hiroshima, Higashi-Hiroshima, Hiroshima 739-8526, Japan.
Biosystems. 2008 Jul-Aug;93(1-2):126-32. doi: 10.1016/j.biosystems.2008.04.003. Epub 2008 Apr 22.
Theoretical considerations of stochastic signal transduction in living cells have revealed the gain-fluctuation relation, which provides a theoretical framework to describe quantitatively how noise is generated, amplified and propagated along a signaling cascade in living cells. We chose the chemotactic signaling of bacteria and eukaryotic cells as a typical example of noisy signal transduction and applied the gain-fluctuation relation to these signaling systems in order to analyze the effects of noise on signal transduction. Comparing our theoretical analysis with the experimental results of chemotaxis in bacteria Escherichia coli and eukaryote Dictyostelium discoideum revealed that noise in signal transduction systems limits the cells' chemotactic ability and contributes to their behavioral variability. Based on the kinetic properties of signaling molecules in living cells, the gain-fluctuation relation can quantitatively explain stochastic cellular behaviors.
对活细胞中随机信号转导的理论思考揭示了增益-波动关系，该关系提供了一个理论框架，用于定量描述噪声如何在活细胞的信号级联中产生、放大和传播。我们选择细菌和真核细胞的趋化信号作为噪声信号转导的典型例子，并将增益-波动关系应用于这些信号系统，以分析噪声对信号转导的影响。将我们的理论分析与大肠杆菌和真核生物盘基网柄菌趋化性的实验结果进行比较，发现信号转导系统中的噪声限制了细胞的趋化能力，并导致其行为变异性。基于活细胞中信号分子的动力学特性，增益-波动关系可以定量解释随机细胞行为。
