Engineered transcription factor-binding diversed functional nucleic acid-based synthetic biosensor

IF 12.1 1区 工程技术 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
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引用次数: 0

Abstract

Engineered transcription factors (eTFs) binding diversed functional nucleic acids (dFNAs), as innovative biorecognition systems, have gradually become indispensable core elements for building synthetic biosensors. They not only circumvent the limitations of the original TF-based biosensing technologies, but also inject new vitality into the field of synthetic biosensing. This review aims to provide the first comprehensive and systematic dissection of the eTF-dFNA synthetic biosensor concept. Firstly, the core principles and interaction mechanisms of eTF-dFNA biosensors are clarified. Next, we elaborate on the construction strategies of eTF-dFNA synthetic biosensors, detailing methods for the personalized customization of eTFs (irrational design, rational design, and semi-rational design) and dFNAs (SELEX, modifying and predicting), along with the exploration of strategies for the flexible selection of signal amplification and output modes. Furthermore, we discuss the exceptional performance and substantial advantages of eTF-dFNA synthetic biosensors, analyzing them from four perspectives: recognition domain, detection speed, sensitivity, and construction methodology. Building upon this analysis, we present their outstanding applications in point-of-care diagnostics, food-safety detection, environmental monitoring, and production control. Finally, we address the current limitations of eTF-dFNA synthetic biosensors candidly and envision the future direction of this technology, aiming to provide valuable insights for further research and applications in this burgeoning field.

Abstract Image

工程化转录因子结合多样化功能核酸合成生物传感器。
结合多样化功能核酸(dFNAs)的工程转录因子(eTFs)作为创新的生物识别系统,已逐渐成为构建合成生物传感器不可或缺的核心要素。它们不仅规避了原有基于 TF 的生物传感技术的局限性,也为合成生物传感领域注入了新的活力。本综述旨在首次全面系统地剖析 eTF-dFNA 合成生物传感器概念。首先,阐明了 eTF-dFNA 生物传感器的核心原理和相互作用机制。接着,我们阐述了 eTF-dFNA 合成生物传感器的构建策略,详细介绍了 eTF 的个性化定制方法(非理性设计、合理设计和半合理设计)和 dFNA 的个性化定制方法(SELEX、修改和预测),并探索了灵活选择信号放大和输出模式的策略。此外,我们还讨论了 eTF-dFNA 合成生物传感器的卓越性能和巨大优势,并从识别领域、检测速度、灵敏度和构建方法四个方面对其进行了分析。在此分析的基础上,我们介绍了它们在护理点诊断、食品安全检测、环境监测和生产控制方面的突出应用。最后,我们坦诚地探讨了 eTF-dFNA 合成生物传感器目前存在的局限性,并展望了这一技术的未来发展方向,旨在为这一新兴领域的进一步研究和应用提供有价值的见解。
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来源期刊
Biotechnology advances
Biotechnology advances 工程技术-生物工程与应用微生物
CiteScore
25.50
自引率
2.50%
发文量
167
审稿时长
37 days
期刊介绍: Biotechnology Advances is a comprehensive review journal that covers all aspects of the multidisciplinary field of biotechnology. The journal focuses on biotechnology principles and their applications in various industries, agriculture, medicine, environmental concerns, and regulatory issues. It publishes authoritative articles that highlight current developments and future trends in the field of biotechnology. The journal invites submissions of manuscripts that are relevant and appropriate. It targets a wide audience, including scientists, engineers, students, instructors, researchers, practitioners, managers, governments, and other stakeholders in the field. Additionally, special issues are published based on selected presentations from recent relevant conferences in collaboration with the organizations hosting those conferences.
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