Protein kinase sensors: an overview of new designs for visualizing kinase dynamics in single plant cells

Protein Interaction Kinetics Delimit the Performance of Phosphorylation-Driven Protein Switches

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, de novo-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.

Metal Messengers: Communication in the Bacterial World through Transition-Metal-Sensing Two-Component Systems

Bacteria survive in highly dynamic and complex environments due, in part, to the presence of systems that allow the rapid control of gene expression in the presence of changing environmental stimuli. The crosstalk between intra- and extracellular bacterial environments is often facilitated by two-component signal transduction systems that are typically composed of a transmembrane histidine kinase and a cytosolic response regulator. Sensor histidine kinases and response regulators work in tandem with their modular domains containing highly conserved structural features to control a diverse array of genes that respond to changing environments. Bacterial two-component systems are widespread and play crucial roles in many important processes, such as motility, virulence, chemotaxis, and even transition metal homeostasis. Transition metals are essential for normal prokaryotic physiological processes, and the presence of these metal ions may also influence pathogenic virulence if their levels are appropriately controlled. To do so, bacteria use transition-metal-sensing two-component systems that bind and respond to rapid fluctuations in extracytosolic concentrations of transition metals. This perspective summarizes the structural and metal-binding features of bacterial transition-metal-sensing two-component systems and places a special emphasis on understanding how these systems are used by pathogens to establish infection in host cells and how these systems may be targeted for future therapeutic developments.

Biological and Molecular Components for Genetically Engineering Biosensors in Plants

Plants adapt to their changing environments by sensing and responding to physical, biological, and chemical stimuli. Due to their sessile lifestyles, plants experience a vast array of external stimuli and selectively perceive and respond to specific signals. By repurposing the logic circuitry and biological and molecular components used by plants in nature, genetically encoded plant-based biosensors (GEPBs) have been developed by directing signal recognition mechanisms into carefully assembled outcomes that are easily detected. GEPBs allow for in vivo monitoring of biological processes in plants to facilitate basic studies of plant growth and development. GEPBs are also useful for environmental monitoring, plant abiotic and biotic stress management, and accelerating design-build-test-learn cycles of plant bioengineering. With the advent of synthetic biology, biological and molecular components derived from alternate natural organisms (e.g., microbes) and/or de novo parts have been used to build GEPBs. In this review, we summarize the framework for engineering different types of GEPBs. We then highlight representative validated biological components for building plant-based biosensors, along with various applications of plant-based biosensors in basic and applied plant science research. Finally, we discuss challenges and strategies for the identification and design of biological components for plant-based biosensors.