大肠杆菌
异源的
密码子使用偏好性
异源表达
蛋白质表达
生物
计算生物学
重组DNA
遗传学
基因
基因组
作者
Ruizhao Jiang,Shuting Yuan,Yilong Zhou,Yuwen Wei,Fulong Li,Sheng Wang,Bo Chen,Huimin Yu
标识
DOI:10.1016/j.biotechadv.2024.108417
摘要
Protein expression is a critical process in diverse biological systems. For Escherichia coli, a widely employed microbial host in industrial catalysis and healthcare, researchers often face significant challenges in constructing recombinant expression systems. To maximize the potential of E. coli expression systems, it is essential to address problems regarding the low or absent production of certain target proteins. This article presents viable solutions to the main factors posing challenges to heterologous protein expression in E. coli, which includes protein toxicity, the intrinsic influence of gene sequences, and mRNA structure. These strategies include specialized approaches for managing toxic protein expression, addressing issues related to mRNA structure and codon bias, advanced codon optimization methodologies that consider multiple factors, and emerging optimization techniques facilitated by big data and machine learning.
科研通智能强力驱动
Strongly Powered by AbleSci AI