Department of Mathematical Sciences, Chalmers University of Technology, Chalmers tvärgata 3, 412 96 Gothnburg, Sweden.
Department of Mathematical Sciences, University of Gothenburg, Chalmers tvärgata 3, 412 96 Gothnburg, Sweden.
FEMS Yeast Res. 2022 Mar 11;22(1). doi: 10.1093/femsyr/foac012.
Saccharomyces cerevisiae has a sophisticated signalling system that plays a crucial role in cellular adaptation to changing environments. The SNF1 pathway regulates energy homeostasis upon glucose derepression; hence, it plays an important role in various processes, such as metabolism, cell cycle and autophagy. To unravel its behaviour, SNF1 signalling has been extensively studied. However, the pathway components are strongly interconnected and inconstant; therefore, elucidating its dynamic behaviour based on experimental data only is challenging. To tackle this complexity, systems biology approaches have been successfully employed. This review summarizes the progress, advantages and disadvantages of the available mathematical modelling frameworks covering Boolean, dynamic kinetic, single-cell models, which have been used to study processes and phenomena ranging from crosstalks to sources of cell-to-cell variability in the context of SNF1 signalling. Based on the lessons from existing models, we further discuss how to develop a consensus dynamic mechanistic model of the entire SNF1 pathway that can provide novel insights into the dynamics of nutrient signalling.
酿酒酵母拥有一套复杂的信号系统,该系统在细胞适应不断变化的环境中起着至关重要的作用。SNF1 途径在葡萄糖去抑制后调节能量稳态;因此,它在各种过程中发挥着重要作用,例如代谢、细胞周期和自噬。为了揭示其行为,SNF1 信号已被广泛研究。然而,途径成分之间存在强烈的相互联系和变化;因此,仅基于实验数据来阐明其动态行为具有挑战性。为了解决这个复杂性,系统生物学方法已经成功应用。本综述总结了可用的数学建模框架的进展、优点和缺点,这些框架涵盖布尔型、动态动力学、单细胞模型,已被用于研究从串扰到 SNF1 信号背景下细胞间变异性来源的各种过程和现象。基于现有模型的经验,我们进一步讨论了如何开发整个 SNF1 途径的共识动态机制模型,该模型可以为营养信号的动态提供新的见解。