Structure-Guided Design of Artificial Transcription Factor for a Progesterone Biosensor.

IF 3.9 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Kun Liu, Xinlan Fan, Ming Zhao, Yu Chen, Qinghui Tang, Shenghua Wei, Zhenglian Xue, Dongzhi Wei, Feng-Qing Wang
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Abstract

Transcription factors (TFs) can be used in genetic circuits and biosensors in the field of synthetic biology. Traditionally, TFs derived from prokaryotic organisms are transferred to more complex eukaryotic cells to achieve gene control; however, TFs in eukaryotes are rarely transferred to prokaryotes. Herein, an artificial TF responsive to progesterone was designed through MD simulations, and the linker fine-tuned the convergence of the DNA-binding domain and activation domain as the desired conformation guide to design an artificial TF ProB assembled from the QFDBD, the ligand-binding domain, linker, and QFAD. The ProB acted on the synthetic promoter QT, which is composed of QUAS, 10-bp space, T7, and the RBS, which controlled the transcription of the biosensor GFP in E. coli. The performance of the whole-cell progesterone biosensor was optimized via a bacterial enrichment strategy, which made the biosensor highly sensitive (LOD 0.15 μg/L and EC50 26.58 μg/L), preferably in the working temperature range (20-30 °C), with only a 56.4 min detection time and a working concentration range of 0.15-40 μg/L, and the performance reached the requirements of clinical application. This report presents effective strategies and valuable insights into the design of non-natural TFs and their artificial systems in prokaryotes.

黄体酮生物传感器人工转录因子的结构导向设计。
转录因子在合成生物学的遗传电路和生物传感器中有着广泛的应用。传统上,来自原核生物的tf被转移到更复杂的真核细胞中以实现基因控制;然而,真核生物中的tf很少转移到原核生物中。本文通过MD模拟设计了一个对黄体酮有响应的人工TF,并将连接子微调dna结合域和激活域的收敛作为所需的构象指南,设计了一个由QFDBD、配体结合域、连接子和QFAD组装而成的人工TF ProB。ProB作用于由QUAS、10-bp空间、T7和RBS组成的合成启动子QT,该启动子在大肠杆菌中控制生物传感器GFP的转录。通过细菌富集策略对全细胞孕酮生物传感器的性能进行优化,使该传感器具有较高的灵敏度(LOD为0.15 μg/L, EC50为26.58 μg/L),工作温度范围为20 ~ 30℃,检测时间仅为56.4 min,工作浓度范围为0.15 ~ 40 μg/L,性能达到临床应用要求。本报告提出了在原核生物中设计非天然tf及其人工系统的有效策略和有价值的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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