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大肠杆菌趋化信号通路的数学分析。

Mathematical Analysis of the Escherichia coli Chemotaxis Signalling Pathway.

机构信息

Department of Mathematics and Statistics, University of Reading, Whiteknights, PO Box 220, Reading, RG6 6AX, UK.

The Pirbright Institute, Ash Road, Woking, Surrey, GU24 0NF, UK.

出版信息

Bull Math Biol. 2018 Apr;80(4):758-787. doi: 10.1007/s11538-018-0400-z. Epub 2018 Feb 5.

Abstract

We undertake a detailed mathematical analysis of a recent nonlinear ordinary differential equation (ODE) model describing the chemotactic signalling cascade within an Escherichia coli cell. The model includes a detailed description of the cell signalling cascade and an average approximation of the receptor activity. A steady-state stability analysis reveals the system exhibits one positive real steady state which is shown to be asymptotically stable. Given the occurrence of a negative feedback between phosphorylated CheB (CheB-P) and the receptor state, we ask under what conditions the system may exhibit oscillatory-type behaviour. A detailed analysis of parameter space reveals that whilst variation in kinetic rate parameters within known biological limits is unlikely to lead to such behaviour, changes in the total concentration of the signalling proteins do. We postulate that experimentally observed overshoot behaviour can actually be described by damped oscillatory dynamics and consider the relationship between overshoot amplitude, total cell protein concentration and the magnitude of the external ligand stimulus. Model reductions in the full ODE model allow us to understand the link between phosphorylation events and the negative feedback between CheB-P and receptor methylation, as well as elucidate why some mathematical models exhibit overshoot and others do not. Our paper closes by discussing intercell variability of total protein concentration as a means of ensuring the overall survival of a population as cells are subjected to different environments.

摘要

我们对最近提出的描述大肠杆菌细胞内趋化信号级联的非线性常微分方程(ODE)模型进行了详细的数学分析。该模型包括对细胞信号级联的详细描述和受体活性的平均近似。稳态稳定性分析表明,系统表现出一个正实稳态,该稳态是渐近稳定的。由于磷酸化 CheB(CheB-P)和受体状态之间存在负反馈,我们询问在什么条件下系统可能表现出振荡型行为。对参数空间的详细分析表明,虽然在已知的生物学范围内改变动力学速率参数不太可能导致这种行为,但信号蛋白的总浓度的变化确实会导致这种行为。我们假设实验观察到的过冲行为实际上可以用阻尼振荡动力学来描述,并考虑过冲幅度、总细胞蛋白浓度和外部配体刺激幅度之间的关系。在完整的 ODE 模型中进行模型简化,使我们能够理解磷酸化事件与 CheB-P 和受体甲基化之间的负反馈之间的联系,以及为什么一些数学模型表现出过冲而另一些则没有。我们的论文最后讨论了总蛋白浓度的细胞间可变性作为一种确保细胞在不同环境中生存的整体方法。

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