克隆(编程)
重组DNA
方案(数学)
生产(经济)
生物
计算生物学
计算机科学
遗传学
数学
基因
程序设计语言
数学分析
宏观经济学
经济
作者
Sonja Zweng,Gabriel Mendoza-Rojas,Alexander Lepak,Florian Altegoer
出处
期刊:Methods in molecular biology
日期:2024-09-17
卷期号:: 229-249
被引量:1
标识
DOI:10.1007/978-1-0716-4220-7_13
摘要
Recombinant protein production is pivotal in molecular biology, enabling profound insights into cellular processes through biophysical, biochemical, and structural analyses of the purified samples. The demand for substantial biomolecule quantities often presents challenges, particularly for eukaryotic proteins. Escherichia coli expression systems have evolved to address these issues, offering advanced features such as solubility tags, posttranslational modification capabilities, and modular plasmid libraries. Nevertheless, existing tools are often complex, which limits their accessibility and necessitate streamlined systems for rapid screening under standardized conditions. Based on the Golden Gate cloning method, we have developed a simple "one-pot" approach for the generation of expression constructs using strategically chosen protein purification tags like hexahistidine, SUMO, MBP, GST, and GB1 to enhance solubility and expression. The system allows visual candidate screening through mScarlet fluorescence and solubility tags are removable via TEV protease cleavage. We provide a comprehensive protocol encompassing oligonucleotide design, cloning, expression, His-tag affinity chromatography, and size-exclusion chromatography. This method, therefore, streamlines prokaryotic and eukaryotic protein production, rendering it accessible to standard molecular biology laboratories with basic protein biochemical equipment.
科研通智能强力驱动
Strongly Powered by AbleSci AI