Lefin Nicolás, Miranda Javiera, Beltrán Jorge F, Belén Lisandra Herrera, Effer Brian, Pessoa Adalberto, Farias Jorge G, Zamorano Mauricio
Department of Chemical Engineering, Science and Engineering Faculty, Universidad de La Frontera, Temuco, Chile.
Departamento de Ciencias Básicas, Facultad de Ciencias, Universidad Santo Tomas, Santiago, Chile.
Front Pharmacol. 2023 Jun 22;14:1208277. doi: 10.3389/fphar.2023.1208277. eCollection 2023.
Heterologous expression of L-asparaginase (L-ASNase) has become an important area of research due to its clinical and food industry applications. This review provides a comprehensive overview of the molecular and metabolic strategies that can be used to optimize the expression of L-ASNase in heterologous systems. This article describes various approaches that have been employed to increase enzyme production, including the use of molecular tools, strain engineering, and optimization. The review article highlights the critical role that rational design plays in achieving successful heterologous expression and underscores the challenges of large-scale production of L-ASNase, such as inadequate protein folding and the metabolic burden on host cells. Improved gene expression is shown to be achievable through the optimization of codon usage, synthetic promoters, transcription and translation regulation, and host strain improvement, among others. Additionally, this review provides a deep understanding of the enzymatic properties of L-ASNase and how this knowledge has been employed to enhance its properties and production. Finally, future trends in L-ASNase production, including the integration of CRISPR and machine learning tools are discussed. This work serves as a valuable resource for researchers looking to design effective heterologous expression systems for L-ASNase production as well as for enzymes production in general.
由于L-天冬酰胺酶(L-ASNase)在临床和食品工业中的应用,其异源表达已成为一个重要的研究领域。本综述全面概述了可用于优化L-ASNase在异源系统中表达的分子和代谢策略。本文描述了为提高酶产量而采用的各种方法,包括使用分子工具、菌株工程和优化。综述文章强调了合理设计在实现成功异源表达中所起的关键作用,并强调了L-ASNase大规模生产的挑战,如蛋白质折叠不足和宿主细胞的代谢负担。通过优化密码子使用、合成启动子、转录和翻译调控以及宿主菌株改良等方法,可以实现基因表达的改善。此外,本综述深入了解了L-ASNase的酶学性质,以及如何利用这些知识来增强其性质和产量。最后,讨论了L-ASNase生产的未来趋势,包括CRISPR和机器学习工具的整合。这项工作为希望设计有效的异源表达系统来生产L-ASNase以及一般酶生产的研究人员提供了宝贵的资源。