基于转录因子的 1,2-丙二醇反应生物传感器的研究与工程设计

IF 3.9 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Yuxi Teng, Xinyu Gong, Jianli Zhang, Ziad Obideen and Yajun Yan*, 
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引用次数: 0

摘要

基于转录因子(TF)的生物传感器已成为促进代谢工程发展的有力工具。然而,随着众多生物生产目标的出现,适用的基于转录因子的生物传感器的种类仍然非常有限。在本研究中,我们研究并设计了鼠伤寒沙门氏菌中的 1,2-丙二醇(1,2-PD)反应型转录激活因子 PocR,以丰富当前的生物传感器种类。PocR 在大肠杆菌中的异源特性分析表明,其工作范围和动态范围明显有限,这主要是由于在没有 1,2-PD 诱导剂的情况下,PocR 与其相应启动子之间的结合存在漏洞。杂合性表征揭示了 PocR 对甘油和 1,2-丁二醇(1,2-BD)的小反应性。利用 AlphaFold 预测结构和蛋白质诱变,我们初步探索了 PocR 的基本机制。根据所研究的机制,我们设计了一个 PcoR-F46R/G105D 变体,其对甘油的诱导剂特异性发生了改变,同时还设计了一个 PocR-ARE (Q107A/S192R/A203E) 变体,其动态范围提高了近 4 倍(活化 6.7 倍),工作范围扩大了 20 倍(0-20 mM 1,2-PD)。最后,我们通过启动子工程成功地将 PocR 转化为抑制因子。激活和抑制功能的整合建立了一个基于 PocR-ARE 的多功能 1,2-PD-诱导双功能调控系统。我们的工作展示了对一种尚未充分开发的能够招募 RNA 聚合酶的转录激活因子的探索和利用。它还提供了一种 1,2-PD 响应型双功能调节器和甘油响应型激活剂,从而扩展了生物传感器工具箱。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Investigating and Engineering an 1,2-Propanediol-Responsive Transcription Factor-Based Biosensor

Investigating and Engineering an 1,2-Propanediol-Responsive Transcription Factor-Based Biosensor

Investigating and Engineering an 1,2-Propanediol-Responsive Transcription Factor-Based Biosensor

Transcription factor (TF)-based biosensors have arisen as powerful tools in the advancement of metabolic engineering. However, with the emergence of numerous bioproduction targets, the variety of applicable TF-based biosensors remains severely limited. In this study, we investigated and engineered an 1,2-propanediol (1,2-PD)-responsive transcription activator, PocR, from Salmonella typhimurium to enrich the current biosensor repertoire. Heterologous characterization of PocR in E. coli revealed a significantly limited operational range and dynamic range, primarily attributed to the leaky binding between PocR and its corresponding promoters in the absence of the 1,2-PD inducer. Promiscuity characterization uncovered the minor responsiveness of PocR toward glycerol and 1,2-butanediol (1,2-BD). Using AlphaFold-predicted structure and protein mutagenesis, we preliminarily explored the underlying mechanism of PocR. Based on the investigated mechanism, we engineered a PcoR-F46R/G105D variant with an altered inducer specificity to glycerol, as well as a PocR-ARE (Q107A/S192R/A203E) variant with nearly a 4-fold higher dynamic range (6.7-fold activation) and a 20-fold wider operational range (0–20 mM 1,2-PD). Finally, we successfully converted PocR to a repressor through promoter engineering. Integrating the activation and repression functions established a versatile 1,2-PD-induced bifunctional regulation system based on PocR-ARE. Our work showcases the exploration and exploitation of an underexplored type of transcriptional activator capable of recruiting RNA polymerase. It also expands the biosensor toolbox by providing a 1,2-PD-responsive bifunctional regulator and glycerol-responsive activator.

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来源期刊
CiteScore
8.00
自引率
10.60%
发文量
380
审稿时长
6-12 weeks
期刊介绍: The journal is particularly interested in studies on the design and synthesis of new genetic circuits and gene products; computational methods in the design of systems; and integrative applied approaches to understanding disease and metabolism. Topics may include, but are not limited to: Design and optimization of genetic systems Genetic circuit design and their principles for their organization into programs Computational methods to aid the design of genetic systems Experimental methods to quantify genetic parts, circuits, and metabolic fluxes Genetic parts libraries: their creation, analysis, and ontological representation Protein engineering including computational design Metabolic engineering and cellular manufacturing, including biomass conversion Natural product access, engineering, and production Creative and innovative applications of cellular programming Medical applications, tissue engineering, and the programming of therapeutic cells Minimal cell design and construction Genomics and genome replacement strategies Viral engineering Automated and robotic assembly platforms for synthetic biology DNA synthesis methodologies Metagenomics and synthetic metagenomic analysis Bioinformatics applied to gene discovery, chemoinformatics, and pathway construction Gene optimization Methods for genome-scale measurements of transcription and metabolomics Systems biology and methods to integrate multiple data sources in vitro and cell-free synthetic biology and molecular programming Nucleic acid engineering.
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