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运用统计设计实验优化重组人鼻病毒14型3C蛋白酶的可溶性表达及纯化:酶的分离与特性鉴定

Optimization of Soluble Expression and Purification of Recombinant Human Rhinovirus Type-14 3C Protease Using Statistically Designed Experiments: Isolation and Characterization of the Enzyme.

作者信息

Antoniou Georgia, Papakyriacou Irineos, Papaneophytou Christos

机构信息

Department of Life and Health Sciences, School of Sciences and Engineering, University of Nicosia, 46 Makedonitissas Ave., 1700, Nicosia, Cyprus.

出版信息

Mol Biotechnol. 2017 Oct;59(9-10):407-424. doi: 10.1007/s12033-017-0032-9.

Abstract

Human rhinovirus (HRV) 3C protease is widely used in recombinant protein production for various applications such as biochemical characterization and structural biology projects to separate recombinant fusion proteins from their affinity tags in order to prevent interference between these tags and the target proteins. Herein, we report the optimization of expression and purification conditions of glutathione S-transferase (GST)-tagged HRV 3C protease by statistically designed experiments. Soluble expression of GST-HRV 3C protease was initially optimized by response surface methodology (RSM), and a 5.5-fold increase in enzyme yield was achieved. Subsequently, we developed a new incomplete factorial (IF) design that examines four variables (bacterial strain, expression temperature, induction time, and inducer concentration) in a single experiment. The new design called Incomplete Factorial-Strain/Temperature/Time/Inducer (IF-STTI) was validated using three GST-tagged proteins. In all cases, IF-STTI resulted in only 10% lower expression yields than those obtained by RSM. Purification of GST-HRV 3C was optimized by an IF design that examines simultaneously the effect of the amount of resin, incubation time of cell lysate with resin, and glycerol and DTT concentration in buffers, and a further 15% increase in protease recovery was achieved. Purified GST-HRV 3C protease was active at both 4 and 25 °C in a variety of buffers.

摘要

人鼻病毒(HRV)3C蛋白酶广泛应用于重组蛋白生产,用于各种应用,如生物化学表征和结构生物学项目,以从其亲和标签中分离重组融合蛋白,从而防止这些标签与目标蛋白之间的干扰。在此,我们通过统计设计实验报告了谷胱甘肽S-转移酶(GST)标记的HRV 3C蛋白酶表达和纯化条件的优化。GST-HRV 3C蛋白酶的可溶性表达最初通过响应面法(RSM)进行优化,酶产量提高了5.5倍。随后,我们开发了一种新的不完全因子设计,在单个实验中研究四个变量(细菌菌株、表达温度、诱导时间和诱导剂浓度)。这种名为不完全因子-菌株/温度/时间/诱导剂(IF-STTI)的新设计使用三种GST标记的蛋白进行了验证。在所有情况下,IF-STTI导致的表达产量仅比通过RSM获得的产量低10%。通过一种同时研究树脂量、细胞裂解物与树脂的孵育时间以及缓冲液中甘油和二硫苏糖醇浓度影响的IF设计,优化了GST-HRV 3C的纯化,蛋白酶回收率进一步提高了15%。纯化的GST-HRV 3C蛋白酶在4℃和25℃的各种缓冲液中均具有活性。

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