Rational Genetic Libraries for Recombinant Protein Yield
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Solution Overview
Problem
Current methods for producing recombinant proteins in mammalian cell systems face challenges in achieving high yields and efficiency, particularly due to limitations in post-translational modification capabilities and the lack of a universal signal peptide that can enhance protein production across different proteins.
Innovation Solution
A method involving the creation of rational genetic libraries with specific nucleotide randomization in genetic elements such as signal sequences, transcriptional, and translational regulatory regions to optimize protein production, allowing for the identification of high-performing clones that produce proteins at higher levels than those mediated by the original sequences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a total random 20 amino acids long signal peptide library is generated, then all possible variants are covered, but the library size becomes approximately 10^26 which is too huge to allow for identification of the best ones
Solution Approach 1:
The patent applies local quality by focusing randomization only on specific critical positions within the signal peptide sequence rather than randomizing all positions. This approach maintains the essential functional regions of the signal peptide while introducing variability only where it is most likely to impact protein secretion efficiency, thereby reducing library complexity from 10^26 to a manageable size while still capturing the most important variants
Solution Approach 2:
The patent segments the signal peptide sequence into distinct regions, identifying specific positions that are most critical for function. By dividing the sequence and applying randomization selectively to key segments rather than the entire sequence, the invention creates a focused library that is both manageable and effective at identifying high-performing signal peptides
2Reliability
If mammalian cell systems are used for producing glycosylated proteins, then post-translational modification capabilities are achieved, but production costs increase and process technology becomes complicated
Solution Approach 1:
The patent changes the parameters of the expression system by optimizing genetic elements within mammalian cells to enhance protein secretion efficiency. By modifying signal peptide sequences and other regulatory elements, the invention improves production yield and reduces process complexity while maintaining the essential post-translational modification capabilities of mammalian systems
3Productivity
If expression vectors are genetically engineered to enhance protein synthesis, then production yield increases, but the complexity of vector design and selection processes increases
Solution Approach 1:
The patent applies preliminary action by pre-identifying and optimizing critical genetic elements such as signal peptide sequences before constructing the full expression vector. By performing targeted randomization and selection of key elements in advance, the invention simplifies subsequent vector design and reduces the complexity of the overall engineering process while still achieving high production yields
Data Source
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AI summary
The invention relates to a method to generate rational libraries comprising genetic elements which are involved in transcriptional and/or translational regulation of a gene and devised to increase the production yield of the encoded protein as well as to the rational library and to the application of said rational library.