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A framework for complex signal processing via synthetic biological operational amplifiers

文献类型： 外文期刊

作者： Cao, Wenjun 1 ; Liu, Lili 2 ; Sun, Qingxu 2 ; Shan, Yang 1 ; Chen, Ye 2 ;

作者机构： 1.Hunan Univ, Longping Agr Coll, Changsha, Peoples R China

2.Chinese Acad Sci, State Key Lab Quantitat Synthet Biol, Shenzhen Inst Synthet Biol, Shenzhen Inst Adv Technol, Shenzhen, Peoples R China

3.Hunan Acad Agr Sci, Agr Prod Proc Inst, Changsha, Peoples R China

期刊名称：NATURE COMMUNICATIONS （ 影响因子：15.7； 五年影响因子：17.2 ）

ISSN：

年卷期： 2025 年 16 卷 1 期

页码：

收录情况： SCI

摘要： Engineering genetic circuits to process complex biological signals remains a significant challenge due to non-orthogonal signal responses that limit precise control. In this study, we introduce a framework that integrates orthogonal operational amplifiers (OAs) into standardized biological processes to enable efficient signal decomposition and amplification. By engineering sigma/anti-sigma pairs, varying ribosome binding site (RBS) strengths, and utilizing both open-loop and closed-loop configurations, we design scalable OAs that enhance the precision, adaptability, and signal-to-noise ratio of genetic circuits. Additionally, we present a prototype whole-cell biosensor capable of detecting transcriptional changes in response to growth conditions, enabling growth-state-responsive induction systems. These systems provide dynamic gene expression control without external inducers, offering significant advantages for metabolic engineering applications. We also apply our framework to mitigate crosstalk in multi-signal systems, ensuring independent control over each signal channel within complex biological networks. Our approach enhances synthetic biology systems by robust signal processing and precise dynamic regulation.

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