School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW 2052, Australia.
Synthetic Biology Future Science Platform, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Canberra, ACT 2601, Australia.
ACS Synth Biol. 2024 Jun 21;13(6):1781-1797. doi: 10.1021/acssynbio.4c00101. Epub 2024 Jun 3.
Post-translational modifications (PTMs) such as phosphorylation and dephosphorylation can rapidly alter protein surface chemistry and structural conformation, which can switch protein-protein interactions (PPIs) within signaling networks. Recently, -designed phosphorylation-responsive protein switches have been created that harness kinase- and phosphatase-mediated phosphorylation to modulate PPIs. PTM-driven protein switches are promising tools for investigating PTM dynamics in living cells, developing biocompatible nanodevices, and engineering signaling pathways to program cell behavior. However, little is known about the physical and kinetic constraints of PTM-driven protein switches, which limits their practical application. In this study, we present a framework to evaluate two-component PTM-driven protein switches based on four performance metrics: effective concentration, dynamic range, response time, and reversibility. Our computational models reveal an intricate relationship between the binding kinetics, phosphorylation kinetics, and switch concentration that governs the sensitivity and reversibility of PTM-driven protein switches. Building upon the insights of the interaction modeling, we built and evaluated novel phosphorylation-driven protein switches consisting of phosphorylation-sensitive coiled coils as sensor domains fused to fluorescent proteins as actuator domains. By modulating the phosphorylation state of the switches with a specific protein kinase and phosphatase, we demonstrate fast, reversible transitions between "on" and "off" states. The response of the switches linearly correlated to the kinase concentration, demonstrating its potential as a biosensor for kinase measurements in real time. As intended, the switches responded to specific kinase activity with an increase in the fluorescence signal and our model could be used to distinguish between two mechanisms of switch activation: dimerization or a structural rearrangement. The protein switch kinetics model developed here should enable PTM-driven switches to be designed with ideal performance for specific applications.
翻译后修饰(PTM),如磷酸化和去磷酸化,能够迅速改变蛋白质的表面化学性质和结构构象,进而在信号网络中切换蛋白质-蛋白质相互作用(PPI)。最近,人们设计出了磷酸化响应蛋白开关,利用激酶和磷酸酶介导的磷酸化来调节PPI。PTM驱动的蛋白开关是研究活细胞中PTM动态变化、开发生物相容性纳米器件以及设计信号通路以编程细胞行为的有前景的工具。然而,对于PTM驱动的蛋白开关的物理和动力学限制知之甚少,这限制了它们的实际应用。在本研究中,我们提出了一个基于四个性能指标来评估双组分PTM驱动蛋白开关的框架:有效浓度、动态范围、响应时间和可逆性。我们的计算模型揭示了结合动力学、磷酸化动力学和开关浓度之间的复杂关系,这些因素决定了PTM驱动蛋白开关的灵敏度和可逆性。基于相互作用建模的见解,我们构建并评估了新型磷酸化驱动蛋白开关,该开关由作为传感器结构域的磷酸化敏感卷曲螺旋与作为效应器结构域的荧光蛋白融合而成。通过用特定的蛋白激酶和磷酸酶调节开关的磷酸化状态,我们展示了“开”和“关”状态之间快速、可逆的转变。开关的响应与激酶浓度呈线性相关,证明了其作为实时激酶测量生物传感器的潜力。如预期的那样,开关对特定的激酶活性做出响应,荧光信号增加,并且我们的模型可用于区分开关激活的两种机制:二聚化或结构重排。这里开发的蛋白质开关动力学模型应能使PTM驱动的开关针对特定应用设计出具有理想性能的产品。