Modular Metabolite Biosensor Design via Protein Segmentation
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Solution Overview
Problem
Current biosensors are insufficient for monitoring many metabolites of interest, and there lacks a generalizable approach to construct a wide range of metabolite-responsive biosensors, limiting the optimization of metabolic pathways and feedback control in microbial factories.
Innovation Solution
A bottom-up strategy is developed by converting metabolite-binding proteins into metabolite-responsive transcriptional regulators using a modular protein design approach with synthetic promoters and statistical analyses, specifically by fusing a programmable DNA binding motif with a model ligand binding protein to generate novel biosensors that modulate gene expression based on ligand binding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If naturally-evolved biosensors are used, then biosensor availability is limited, but constructing a wide range of metabolite-responsive biosensors lacks a generalizable approach
Solution Approach 1:
The biosensor is divided into three functional modules: a DNA-binding domain (DBD) that recognizes specific promoter sequences, a metabolite-binding domain (MBD) that detects the target metabolite, and a transcriptional regulation domain that modulates gene expression. This modular segmentation allows independent optimization and recombination of different domains to create diverse biosensors for various metabolites, resolving the contradiction between biosensor range and construction complexity
Solution Approach 2:
The invention creates a universal biosensor platform where the same modular architecture can detect different metabolites by simply更换 the MBD component. The conserved DBD and transcriptional regulation domains work with various MBDs to generate metabolite-specific biosensors, enabling a single design framework to serve multiple detection purposes across diverse synthetic biology applications
2Reliability
If metabolite-binding proteins are converted to transcriptional regulators, then biosensor performance improves, but the conversion process requires modular protein design and statistical analyses
Solution Approach 1:
The invention performs preliminary characterization of individual domain properties (DNA-binding affinity, metabolite-binding constants, transcriptional activation/repression strength) before assembling the complete biosensor. This pre-characterization data is used to predict and optimize the performance of the assembled biosensor, reducing the need for extensive iterative testing and statistical analysis while improving reliability
Solution Approach 2:
The invention systematically varies key parameters such as the number and spacing of DBD binding sites in the promoter, the affinity of the MBD for its metabolite, and the strength of the transcriptional regulation domain. By optimizing these parameters independently and combinatorially, the invention achieves high biosensor performance while providing design rules that simplify the engineering process for future biosensors
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables the design of novel biosensors that can monitor metabolite levels and implement feedback control, overcoming the limitations of naturally-evolved biosensors and providing a generalizable method for engineering diverse synthetic biology applications.
Implementation Method 1
The fusion protein, or biosensor, binds the ligand of the ligand-binding protein
Implementation Method 2
modulates expression of a reporter gene operably linked to a promoter that is engineered to include specific binding sites for the DNA-binding protein
Data Source
AI summary
Disclosed are systems, components, and methods for sensing a ligand in a cell or a reaction mixture. The disclosed systems, components, and methods may include and/or utilize a fusion protein comprising a ligand-binding protein and a DNA-binding protein. The fusion protein binds the ligand of the ligand-binding protein and modulates expression of a reporter gene operably linked to a promoter that is engineered to include specific binding sites for the DNA-binding protein. The difference in expression of the reporter gene in the presence of the ligand versus expression of the reporter gene in the absence of the ligand can be correlated to the concentration of the ligand in a reaction mixture.


