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Frequency spectrum of chemical fluctuation A probe of reaction mechanism and dynamics

机译:化学涨落的频谱反应机理与动力学探讨

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Recent advances in single-cell experimental techniques enable direct visualization of dynamic fluctuations of the biomolecular concentration in each cell; however, a robust, quantitative understanding of the stochastic dynamics of the chemical noise in living cells has yet to be achieved. To understand how the frequency spectrum of product number fluctuation is related to the topology of the reaction network and the dynamics of elementary processes composing the network, we derived an exact analytic result for the frequency spectrum of the product number fluctuation starting from a generalized master equation, enabling the extraction of the frequency spectrum of the reaction rate fluctuation (FSRR) from the frequency spectrum of the product number fluctuation (FSPN). The FSRR serves as a sensitive probe of the mechanism and dynamics of the product creation process; the FSRR vanishes when product creation is a Poisson process. We demonstrated our approach to frequency spectrum analysis of chemical fluctuation for generalized enzyme kinetic models, the gene network model of luciferase expression under the Bmal 1a promoter in mouse fibroblast cells, and a more general vibrant gene network model.
机译:单细胞实验技术的最新进展可以直接观察每个细胞中生物分子浓度的动态波动。然而,尚未获得对活细胞中化学噪声的随机动力学的有力的,定量的理解。为了了解产品数波动的频谱与反应网络的拓扑以及组成该网络的基本过程的动力学之间的关系,我们从广义主方程出发,得出了产品数波动的频谱的精确分析结果。 ,可以从产品数量波动(FSPN)的频谱中提取反应速率波动(FSRR)的频谱。 FSRR是对产品创建过程的机制和动态的敏感探查;当产品创建是泊松过程时,FSRR消失。我们展示了我们针对广义酶动力学模型,在小鼠成纤维细胞中Bmal 1a启动子下荧光素酶表达的基因网络模型以及更一般的充满活力的基因网络模型进行化学波动的频谱分析的方法。

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