Suppr超能文献

pT7MT,一种带有金属硫蛋白2A标签的新型原核融合表达载体。

pT7MT, a metallothionein 2A-tagged novel prokaryotic fusion expression vector.

作者信息

Marikar Faiz M M T, Fang Lei, Jiang Shu-Han, Hua Zi-Chun

机构信息

State Key Laboratory of Pharmaceutical Biotechnology, College of Life Sciences, Nanjing University, Nanjing, PR China.

出版信息

J Microbiol Biotechnol. 2007 May;17(5):728-32.

Abstract

In the present article, a novel fusion expression vector for Escherichia coli was developed based on the pTORG plasmid, a derivative of pET32a. This vector, named pT7MT (GenBank Accession No DQ504436), carries a T7 promoter and it drives the downstream gene encoding Metallothionein 2A (MT2A). There are in-framed multiple cloning sites (MCS) downstream of the MT2A gene. A target gene can be cloned into the MCS and fused to the C-terminal of the MT2A gene in a compatible open reading frame (ORF) to achieve fusion expression. The metal-binding capability of MT2A allows the purification of fusion proteins by metal chelating affinity chromatogralhy, known as Ni2+-affinity chromatography. Using this expression vector, we successfully got the stable and high-yield expression of MT2A-GST and MT2A-Troponin I fusion proteins. These two proteins were easily purified from the supernatant of cell lysates by one-step Ni2+ -affinity chromatography. The final yields of MT2A-GST and MT2A-Troponin I were 30 mg/l and 28 mg/l in LB culture, respectively. Taken together, our data suggest that pT7MT can be applied as a useful expression vector for stable and high-yield production of fusion proteins.

摘要

在本文中,基于pET32a的衍生物pTORG质粒,开发了一种用于大肠杆菌的新型融合表达载体。该载体名为pT7MT(GenBank登录号DQ504436),携带T7启动子,并驱动下游编码金属硫蛋白2A(MT2A)的基因。MT2A基因下游存在读码框内的多克隆位点(MCS)。可以将目标基因克隆到MCS中,并在兼容的开放阅读框(ORF)中与MT2A基因的C末端融合,以实现融合表达。MT2A的金属结合能力使得可以通过金属螯合亲和层析(即Ni2+亲和层析)纯化融合蛋白。使用该表达载体,我们成功实现了MT2A-GST和MT2A-肌钙蛋白I融合蛋白的稳定高产表达。这两种蛋白通过一步Ni2+亲和层析很容易从细胞裂解物的上清液中纯化出来。在LB培养物中,MT2A-GST和MT2A-肌钙蛋白I的最终产量分别为30 mg/l和28 mg/l。综上所述,我们的数据表明pT7MT可作为一种有用的表达载体,用于稳定高产融合蛋白的生产。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验