Promoter Library for Precise Gene Expression Control
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Solution Overview
Problem
Current methods for elucidating gene function and genetic control are limited by discrete sampling of gene expression levels, which fail to provide a comprehensive understanding of phenotype dependency on gene expression, and inducible promoters face challenges with high costs and transcriptional heterogeneity at the single-cell level.
Innovation Solution
A library of expression vectors with promoters of varying strengths, generated through random mutation, are used to optimize gene expression by stable integration into cells, allowing for precise control and verification of gene expression levels at both population and single-cell levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If deletion and strong over-expression of genes are used to elucidate gene function, then gene function can be identified, but the full dependency of phenotype on gene expression cannot be accessed due to discrete sampling at only a few expression levels
Solution Approach 1:
The patent applies parameter changes by creating a promoter library with systematically varied promoter strengths ranging from near-zero to high expression levels. This continuous variation in the promoter strength parameter enables comprehensive sampling of the gene expression-phenotype dependency relationship, resolving the limitation of discrete deletion/overexpression approaches.
Solution Approach 2:
The patent introduces dynamics by establishing a continuous spectrum of promoter strengths that can be tuned and adjusted. This dynamic range of expression levels allows the system to adapt to different phenotypic requirements and provides a comprehensive view of gene expression effects that static binary approaches (deletion vs. overexpression) cannot achieve.
2Ease of operation
If inducible promoters are used for continuous control of expression, then expression can be controlled at the macroscopic level, but practical applications are limited by prohibitive inducer costs, hypersensitivity to inducer concentration, and transcriptional heterogeneity at the single-cell level
Solution Approach 1:
The patent applies copying by creating a library of promoters that replicate and propagate different expression strength variants through stable integration into the genome. This allows the expression control function to be inherited and maintained without requiring external inducers, eliminating cost and concentration sensitivity issues associated with inducible systems.
Solution Approach 2:
The patent uses parameter changes by encoding expression strength information directly in the promoter sequence itself rather than requiring external chemical inducers. The promoter's intrinsic properties (sequence composition, structure) determine expression levels, providing reliable and homogeneous control at the single-cell level without the heterogeneity and cost problems of inducible systems.
3Productivity
If inducible systems are used for recombinant protein overproduction, then expression can be increased, but the elucidation of gene function and genetic control requires well characterized promoter libraries which are homogeneous at the single cell level
Solution Approach 1:
The patent applies segmentation by dividing the promoter library into distinct functional categories or clusters based on their expression strength and characteristics. This segmentation allows the library to simultaneously provide high-expression promoters for protein overproduction while maintaining subsets with precise, homogeneous expression for gene function analysis, resolving the contradiction between productivity and measurement precision.
Data Source
AI summary
The present invention relates to expression cassettes libraries of expression vectors comprising the same, wherein each vector comprises at least one gene of interest and a promoter operatively linked thereto wherein each promoter comprises a nucleic acid, whose sequence is randomly mutated with respect to that of another in the library and cells comprising the same. Methods utilizing either the libraries or cells of this invention, in optimizing gene expression, protein expression, or optimized gene or protein delivery are described.