Cortes Michael G, Lin Yiruo, Zeng Lanying, Balázsi Gábor
The Louis and Beatrice Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, New York 11794, USA; email:
Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, New York 11794, USA.
Annu Rev Biophys. 2021 May 6;50:117-134. doi: 10.1146/annurev-biophys-082020-063558.
Cellular decision making is the process whereby cells choose one developmental pathway from multiple possible ones, either spontaneously or due to environmental stimuli. Examples in various cell types suggest an almost inexhaustible plethora of underlying molecular mechanisms. In general, cellular decisions rely on the gene regulatory network, which integrates external signals to drive cell fate choice. The search for general principles of such a process benefits from appropriate biological model systems that reveal how and why certain gene regulatory mechanisms drive specific cellular decisions according to ecological context and evolutionary outcomes. In this article, we review the historical and ongoing development of the phage lambda lysis-lysogeny decision as a model system to investigate all aspects of cellular decision making. The unique generality, simplicity, and richness of phage lambda decision making render it a constant source ofmathematical modeling-aided inspiration across all of biology. We discuss the origins and progress of quantitative phage lambda modeling from the 1950s until today, as well as its possible future directions. We provide examples of how modeling enabled methods and theory development, leading to new biological insights by revealing gaps in the theory and pinpointing areas requiring further experimental investigation. Overall, we highlight the utility of theoretical approaches both as predictive tools, to forecast the outcome of novel experiments, and as explanatory tools, to elucidate the natural processes underlying experimental data.
细胞决策是细胞从多种可能的发育途径中选择其一的过程,这种选择可以是自发的,也可以是由环境刺激引起的。各种细胞类型中的例子表明,潜在的分子机制几乎数不胜数。一般来说,细胞决策依赖于基因调控网络,该网络整合外部信号以驱动细胞命运选择。寻找这一过程的一般原则得益于合适的生物学模型系统,这些系统揭示了某些基因调控机制如何以及为何根据生态背景和进化结果驱动特定的细胞决策。在本文中,我们回顾了噬菌体λ裂解 - 溶原决策作为一个模型系统在细胞决策各个方面研究中的历史和当前发展。噬菌体λ决策的独特普遍性、简单性和丰富性使其成为整个生物学领域数学建模辅助灵感的持续来源。我们讨论了从20世纪50年代至今定量噬菌体λ建模的起源和进展,以及其可能的未来方向。我们提供了一些例子,说明建模如何推动方法和理论的发展,通过揭示理论中的差距和确定需要进一步实验研究的领域,从而带来新的生物学见解。总体而言,我们强调理论方法作为预测工具预测新实验结果以及作为解释工具阐明实验数据背后自然过程的效用。