Protein expression is a critical process in diverse biological systems. For , 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 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 , 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.

中文翻译：

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克服大肠杆菌中异源蛋白低表达或无表达挑战的策略


蛋白质表达是多种生物系统中的关键过程。对于工业催化和医疗保健中广泛使用的微生物宿主来说，研究人员在构建重组表达系统时经常面临重大挑战。为了最大限度地发挥表达系统的潜力，必须解决某些靶蛋白产量低或缺乏的问题。本文针对对异源蛋白表达构成挑战的主要因素提出了可行的解决方案，其中包括蛋白毒性、基因序列的内在影响和 mRNA 结构。这些策略包括管理有毒蛋白表达的专门方法、解决与 mRNA 结构和密码子偏倚相关的问题、考虑多种因素的先进密码子优化方法，以及大数据和机器学习促进的新兴优化技术。