Department of Systems Biology and Bioinformatics, University of Rostock, 18051 Rostock, Germany; Institute of Mechanics and Biomechanics-Bulgarian Academy of Sciences, Acad. G. Bonchev Str., Bl. 4, 1113 Sofia, Bulgaria; University of Transport, Geo Milev Str., 158, 1574 Sofia, Bulgaria; Laboratory of Systems Tumor Immunology, Department of Dermatology, University Hospital Erlangen, Erlangen, Germany.
Department of Systems Biology and Bioinformatics, University of Rostock, 18051 Rostock, Germany; Stellenbosch Institute for Advanced Study (STIAS), Wallenberg Research Centre at Stellenbosch University, Stellenbosch, South Africa.
J Theor Biol. 2020 Jun 21;495:110252. doi: 10.1016/j.jtbi.2020.110252. Epub 2020 Mar 19.
The objective of this study is to evaluate the role of cooperativity, captured by the Hill coefficient, in a minimal mathematical model describing the interactions between p53 and miR-34a. The model equations are analyzed for negative, none and normal cooperativity using a specific version of bifurcation theory and they are solved numerically. Special attention is paid to the sign of so-called first Lyapunov value. Interpretations of the results are given, both according to dynamic theory and in biological terms. In terms of cell signaling, we propose the hypothesis that when the outgoing signal of a system spends a physiologically significant amount of time outside of its equilibrium state, then the value of that signal can be sampled at any point along the trajectory towards that equilibrium and indeed, at multiple points. Coupled with non-linear behavior, such as that caused by cooperativity, this feature can account for a complex and varied response, which p53 is known for. From dynamical point of view, we found that when cooperativity is negative, the system has only one stable equilibrium point. In the absence of cooperativity, there is a single unstable equilibrium point with a critical boundary of stability. In the case with normal cooperativity, the system can have one, two, or three steady states with both, bi-stability and bi-instability occurring.
本研究的目的是评估合作性(由 Hill 系数捕获)在描述 p53 和 miR-34a 之间相互作用的最小数学模型中的作用。使用分岔理论的特定版本分析了负、无和正常协同作用的模型方程,并进行了数值求解。特别关注所谓的第一 Lyapunov 值的符号。根据动态理论和生物学意义对结果进行了解释。在细胞信号转导方面,我们提出了一个假设,即当系统的输出信号在其平衡状态之外花费大量生理上有意义的时间时,那么可以在轨迹上的任何点,甚至在多个点上对该信号进行采样。与协同作用等非线性行为相结合,这种特性可以解释 p53 已知的复杂和多样化的反应。从动力学的角度来看,我们发现当协同作用为负时,系统只有一个稳定的平衡点。在没有协同作用的情况下,存在一个具有临界稳定边界的单一不稳定平衡点。在正常协同作用的情况下,系统可能有一个、两个或三个稳定状态,同时存在双稳定性和双不稳定性。