Baum Katharina, Politi Antonio Z, Kofahl Bente, Steuer Ralf, Wolf Jana
Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany.
Institute for Theoretical Biology, Humboldt University of Berlin, Berlin, Germany.
PLoS Comput Biol. 2016 Dec 27;12(12):e1005298. doi: 10.1371/journal.pcbi.1005298. eCollection 2016 Dec.
Oscillations occur in a wide variety of cellular processes, for example in calcium and p53 signaling responses, in metabolic pathways or within gene-regulatory networks, e.g. the circadian system. Since it is of central importance to understand the influence of perturbations on the dynamics of these systems a number of experimental and theoretical studies have examined their robustness. The period of circadian oscillations has been found to be very robust and to provide reliable timing. For intracellular calcium oscillations the period has been shown to be very sensitive and to allow for frequency-encoded signaling. We here apply a comprehensive computational approach to study the robustness of period and amplitude of oscillatory systems. We employ different prototype oscillator models and a large number of parameter sets obtained by random sampling. This framework is used to examine the effect of three design principles on the sensitivities towards perturbations of the kinetic parameters. We find that a prototype oscillator with negative feedback has lower period sensitivities than a prototype oscillator relying on positive feedback, but on average higher amplitude sensitivities. For both oscillator types, the use of Michaelis-Menten instead of mass action kinetics in all degradation and conversion reactions leads to an increase in period as well as amplitude sensitivities. We observe moderate changes in sensitivities if replacing mass conversion reactions by purely regulatory reactions. These insights are validated for a set of established models of various cellular rhythms. Overall, our work highlights the importance of reaction kinetics and feedback type for the variability of period and amplitude and therefore for the establishment of predictive models.
振荡发生在各种各样的细胞过程中,例如在钙和p53信号反应、代谢途径或基因调控网络(如昼夜节律系统)中。由于理解扰动对这些系统动态的影响至关重要,许多实验和理论研究都考察了它们的稳健性。已发现昼夜节律振荡的周期非常稳健,并能提供可靠的计时。对于细胞内钙振荡,其周期已被证明非常敏感,并能实现频率编码信号传递。我们在此应用一种综合计算方法来研究振荡系统周期和振幅的稳健性。我们采用不同的原型振荡器模型以及通过随机抽样获得的大量参数集。这个框架用于考察三种设计原则对动力学参数扰动敏感性的影响。我们发现,具有负反馈的原型振荡器比依赖正反馈的原型振荡器具有更低的周期敏感性,但平均而言具有更高的振幅敏感性。对于这两种振荡器类型,在所有降解和转化反应中使用米氏动力学而非质量作用动力学,会导致周期和振幅敏感性增加。如果用纯调控反应取代质量转化反应,我们观察到敏感性有适度变化。这些见解在一组已建立的各种细胞节律模型中得到了验证。总体而言,我们的工作突出了反应动力学和反馈类型对于周期和振幅变异性的重要性,进而对于建立预测模型的重要性。