Department of Biological Systems Engineering, Virginia Tech, Blacksburg, VA 24061, United States.
Department of Biological Systems Engineering, Virginia Tech, Blacksburg, VA 24061, United States; Translational Plant Sciences Center (TPSC), Virginia Tech, Blacksburg, VA 24061, United States.
SLAS Technol. 2024 Apr;29(2):100113. doi: 10.1016/j.slast.2023.10.005. Epub 2023 Oct 31.
Genetically encoded biosensors are crucial for enhancing our understanding of how molecules regulate biological systems. Small molecule biosensors, in particular, help us understand the interaction between chemicals and biological processes. They also accelerate metabolic engineering by increasing screening throughput and eliminating the need for sample preparation through traditional chemical analysis. Additionally, they offer significantly higher spatial and temporal resolution in cellular analyte measurements. In this review, we discuss recent progress in in vivo biosensors and control systems-biosensor-based controllers-for metabolic engineering. We also specifically explore protein-based biosensors that utilize less commonly exploited signaling mechanisms, such as protein stability and induced degradation, compared to more prevalent transcription factor and allosteric regulation mechanism. We propose that these lesser-used mechanisms will be significant for engineering eukaryotic systems and slower-growing prokaryotic systems where protein turnover may facilitate more rapid and reliable measurement and regulation of the current cellular state. Lastly, we emphasize the utilization of cutting-edge and state-of-the-art techniques in the development of protein-based biosensors, achieved through rational design, directed evolution, and collaborative approaches.
基因编码生物传感器对于加深我们对分子如何调节生物系统的理解至关重要。小分子生物传感器特别有助于我们了解化学物质与生物过程之间的相互作用。它们还通过提高筛选通量并消除对传统化学分析的样品制备的需求,加速代谢工程。此外,它们在细胞分析物测量中提供了更高的空间和时间分辨率。在这篇综述中,我们讨论了代谢工程中体内生物传感器和控制系统(基于生物传感器的控制器)的最新进展。我们还特别探讨了基于蛋白质的生物传感器,与更常见的转录因子和别构调节机制相比,这些生物传感器利用了不太常用的信号机制,如蛋白质稳定性和诱导降解。我们提出,这些较少使用的机制对于工程真核系统和生长较慢的原核系统将是重要的,因为蛋白质周转可能促进对当前细胞状态的更快速和可靠的测量和调节。最后,我们强调了在通过合理设计、定向进化和协作方法开发基于蛋白质的生物传感器时利用最先进的技术的重要性。