Kun Liu, Xinlan Fan, Ming Zhao, Yu Chen, Qinghui Tang, Shenghua Wei, Zhenglian Xue, Dongzhi Wei, Feng-Qing Wang
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Structure-Guided Design of Artificial Transcription Factor for a Progesterone Biosensor.
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.
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.