密码子优化策略在异源蛋白表达中的应用

Enzymes are widely used in medical and biopharmaceuticals. They can be used not only for various disease treatments, but also clinical diagnosis. The use of microorganisms to express heterologous proteins has become the easiest and fastest way to obtain enzymes. In order to obtain high concentration and high-quality heterologous proteins, a common method is codon optimization of gene sequences. The traditional codon optimization strategy is mainly based on codon bias and GC content, ignoring complex and varied factors such as translational dynamics and metabolic levels. We provide here comprehensive codon optimization strategy based on gene level, transcriptional level, translational level, post-translational level and metabolic level, mainly including codon bias, codon harmonization, codon sensitivity, adjustment of gene sequence structure and some other influencing factors. We also summarize the aspects of strategy content, theoretical support and application. Besides, the advantages and disadvantages of each strategy are also systematically compared, providing an all-round, multi-level and multi-selection optimization strategy for heterogeneous protein expression, and also providing references for the enzyme industry and biopharmaceuticals.