Cell-Free Operator Selection for Novel aTF Biosensor Sequences
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for developing new allosteric transcription factor (aTF) biosensors are intensive and time-consuming, requiring well-characterized operator sequences and small molecule regulators, and do not easily translate across organisms, limiting the expansion of sensing new molecules.
Innovation Solution
A cell-free operator selection assay is developed to identify novel aTF nucleic acid binding sequences through a method involving a library of partially randomized nucleic acid sequences, allosteric transcription factors, and ligands, followed by partitioning, purifying, and amplifying the nucleic acid sequences to generate enriched sequences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional methods are used to characterize operator sequences and small molecule regulators, then reliable biosensor function is achieved, but the process becomes intensive and time-consuming
Solution Approach 1:
The patent applies preliminary action by pre-selecting and enriching operator sequences from a library before final biosensor assembly. The method performs preliminary characterization through multiple rounds of selection and enrichment, identifying high-affinity operator sequences in advance, which then can be rapidly deployed into biosensor constructs without time-consuming optimization later
Solution Approach 2:
The patent uses copying by creating and screening multiple variants of operator sequences from a randomized library. Instead of characterizing one sequence at a time, the method synthesizes and tests numerous copies with variations, selecting the best performers for biosensor application, thereby parallelizing the characterization process
2Measurement precision
If well-characterized operator sequences are required for each new biosensor, then accurate ligand detection is achieved, but the expansion to sensing new molecules is blocked
Solution Approach 1:
The patent applies universality by developing a universal operator library and selection methodology that can be applied across different transcription factors and target molecules. The standardized library design and enrichment protocol create a reusable platform that maintains detection accuracy while enabling rapid adaptation to sense diverse molecules without requiring de novo characterization for each application
Solution Approach 2:
The patent uses parameter changes by systematically varying operator sequence parameters (nucleotide composition, length, position) in the randomized library. This allows exploration of sequence space to identify operators with optimal binding characteristics for different ligands, maintaining precision through controlled variation while expanding versatility across molecule types
3Adaptability or versatility
If natural aTF mechanisms from different organisms are used, then diverse biosensing capabilities are achieved, but translation to E. coli systems fails
Solution Approach 1:
The patent applies the intermediary principle by using a standardized E. coli-based selection system as a mediator between diverse natural aTFs and the final biosensor application. The method translates foreign aTF mechanisms into the E. coli context through in vitro selection and operator enrichment, creating an intermediate platform that ensures compatibility while preserving diverse sensing capabilities
Solution Approach 2:
The patent uses segmentation by separating the operator sequence identification from the transcription factor source. The method divides the biosensor development into modular components: the aTF binding domain is tested against a standardized E. coli operator library, allowing the regulatory mechanism to be independently characterized and optimized for E. coli compatibility before integration into full biosensor systems
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
Enables rapid identification of novel aTF nucleic acid sequences, allowing for high-throughput promoter discovery and expansion of biosensors, suitable for on-demand diagnostics and diverse applications.
Implementation Method 1
allosteric transcription factors (aTFs) that bind DNA and control gene expression via physical interactions with small molecule ligands
Implementation Method 2
aTFs bind DNA and control gene expression via physical interactions with small molecule ligands
Implementation Method 3
transcription factors are provided in a cell-free system for protein synthesis
Implementation Method 4
cell-free system for protein synthesis
Data Source
AI summary
Disclosed herein are methods and systems to generate novel nucleic acid sequences that bind to an allosteric transcription factor and novel nucleic acid sequences generated by said methods.


