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基于稳健性的无细胞蛋白质合成应用平台的开发。

Development of a robust -based cell-free protein synthesis application platform.

作者信息

Jiang Nan, Ding Xuanwei, Lu Yuan

机构信息

Key Laboratory of Industrial Biocatalysis, Ministry of Education, Department of Chemical Engineering, Tsinghua University, Beijing 100084, China.

出版信息

Biochem Eng J. 2021 Jan 15;165:107830. doi: 10.1016/j.bej.2020.107830. Epub 2020 Oct 17.

Abstract

Since the cell-free protein synthesis system is not limited by the cell growth, all the substrates are used to produce the protein of interest, and the reaction environment can be flexibly controlled. All the advantages allow it to synthesize toxic proteins, membrane proteins, and unnatural proteins that are difficult to make . However, one typical reason why the cell-free system has not been widely accepted as a practical alternative, is its expression efficiency problem. The -based system was chosen in this study, and the model protein deGFP was expressed to explore a more efficient cell-free system. The results showed that Mg with a concentration of 15 mM in the cell-free system with BL21 Star (DE3) as the extract could better synthesize protein. The smaller the vectors, the lighter the burden, the higher the protein synthesis. Simulating the crowding effect in the cell does not improve the protein expression efficiency of the optimized cell-free protein synthesis system. Based on the optimized system, the cell-free fundamental research platform, primary screening platform, and portable biomolecular synthesis platform were established. This study provides a robust cell-free protein synthesis toolbox with easy extract preparation and high protein yield. It also enables more researchers to reap the benefits from the cell-free biosynthesis platform.

摘要

由于无细胞蛋白质合成系统不受细胞生长的限制,所有底物都用于生产目标蛋白质,并且反应环境可以灵活控制。所有这些优点使其能够合成难以制备的有毒蛋白质、膜蛋白和非天然蛋白质。然而,无细胞系统尚未被广泛接受为一种实用替代方案的一个典型原因是其表达效率问题。本研究选择了基于大肠杆菌的系统,并表达模型蛋白deGFP以探索更高效的无细胞系统。结果表明,以BL21 Star (DE3)为提取物的无细胞系统中,浓度为15 mM的镁能更好地合成蛋白质。载体越小,负担越轻,蛋白质合成越高。模拟细胞内的拥挤效应并不能提高优化后的无细胞蛋白质合成系统的蛋白质表达效率。基于优化后的系统,建立了无细胞基础研究平台、初步筛选平台和便携式生物分子合成平台。本研究提供了一个强大的无细胞蛋白质合成工具箱,其提取物制备简便且蛋白质产量高。它还使更多研究人员能够从无细胞生物合成平台中受益。

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