Gene Site Saturation Mutagenesis Primer Pool Design
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Solution Overview
Problem
Current gene modification techniques are laborious, expensive, and often result in biased codon frequency, making it difficult to efficiently generate specific gene variants with technical simplicity.
Innovation Solution
A method involving the use of a pool of primers capable of binding to specific regions of a parent polynucleotide, allowing for the generation of modified polynucleotides with amino acid substitutions at targeted positions through polymerase extension reactions, which can encode for all possible standard amino acid substitutions at a given position, thereby simplifying the process and reducing bias.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional gene modification techniques (error-prone PCR, site-directed mutagenesis kits) are used, then gene variants can be generated, but the process becomes laborious and expensive
Solution Approach 1:
The method divides the gene into specific regions of interest and applies mutagenesis only to those segments using targeted primers, rather than attempting to mutate the entire gene. This segmentation approach reduces the complexity of the mutagenesis process while maintaining the ability to generate diverse variants in critical regions.
Solution Approach 2:
The method performs preliminary design and synthesis of specific primers that encode desired amino acid substitutions before the actual mutagenesis reaction. By pre-calculating and preparing the exact genetic changes needed, the method eliminates the need for extensive screening and random mutagenesis, thereby simplifying the overall process and reducing costs.
2Manufacturing precision
If traditional mutagenesis methods are used, then gene variants can be produced, but biased codon frequency results in uneven amino acid distribution
Solution Approach 1:
The method applies different codons for the same amino acid substitution at different positions based on local codon usage preferences. By analyzing the specific genomic context and applying position-specific codon optimization, the method achieves uniform amino acid distribution while maintaining natural codon frequency patterns, thereby improving both precision and reliability.
Solution Approach 2:
The method dynamically adjusts codon selection parameters based on the specific position and context within the gene. Rather than using a fixed codon table, the system modifies codon choices to account for local variations in codon usage frequency, ensuring that each amino acid substitution is encoded with appropriate codon frequency for that specific location.
3Manufacturing precision
If comprehensive screening is performed to identify desired gene variants, then specific properties can be achieved, but the process becomes time-consuming and expensive
Solution Approach 1:
The method performs preliminary in silico screening and prediction of variant properties before experimental validation. By using computational tools to predict which amino acid substitutions are most likely to achieve desired properties, the method reduces the number of variants that need to be experimentally screened, thereby significantly reducing time and cost while maintaining high precision in achieving target properties.
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 method allows for the efficient production of modified polynucleotides and polypeptides with desired properties, such as stability and substrate specificity, by reducing the need for extensive screening and minimizing biases in codon frequency, thus enhancing the efficiency and effectiveness of gene modification processes.
Implementation Method 1
subjecting the reaction mixture to a polymerase extension reaction to generate the plurality of modified polynucleotides
Data Source
AI summary
Disclosed herein is an improved Gene Site Saturation Mutagenesis (GSSM) method for producing a plurality of modified polynucleotides and/or polypeptides, creating specific changes to a gene, and reassembling mutations or changes at one or more sites.