Ding Nana, Zhou Shenghu, Deng Yu
National Engineering Laboratory for Cereal Fermentation Technology, Jiangnan University, Wuxi 214122, Jiangsu, China.
Sheng Wu Gong Cheng Xue Bao. 2021 Mar 25;37(3):911-922. doi: 10.13345/j.cjb.200641.
Transcription factor-based biosensors (TFBs) play an essential role in metabolic engineering and synthetic biology. TFBs sense the metabolite concentration signals and convert them into specific signal output. They hold high sensitivity, strong specificity, brief analysis speed, and are widely used in response to target metabolites. Here we reviewe the principles of TFBs, the application examples, and challenges faced in recent years in microbial cells, including detecting target metabolite concentrations, high-throughput screening, adaptive laboratory evolutionary selection, and dynamic control. Simultaneously, to overcome the challenges in the application, we also focus on reviewing the performance tuning strategies of TFBs, mainly including traditional and computer-aided tuning strategies. We also discuss the opportunities and challenges that TFBs may face in practical applications, and propose the future research trend.
基于转录因子的生物传感器（TFBs）在代谢工程和合成生物学中发挥着重要作用。TFBs感知代谢物浓度信号并将其转化为特定的信号输出。它们具有高灵敏度、强特异性、分析速度快等特点，被广泛应用于对目标代谢物的响应。在此，我们综述了TFBs的原理、应用实例以及近年来在微生物细胞中面临的挑战，包括检测目标代谢物浓度、高通量筛选、适应性实验室进化选择和动态控制。同时，为了克服应用中的挑战，我们还着重综述了TFBs的性能调节策略，主要包括传统和计算机辅助调节策略。我们还讨论了TFBs在实际应用中可能面临的机遇和挑战，并提出了未来的研究趋势。
