对基于光蛋白的方法进行新的研究,以确定E. coli重组蛋白表达的最佳编码序列
Artur I Zabolotskii1, Natalia S Riabkova1
1Lomonosov Moscow State University, Moscow, Russia.
Biotechnology journal
|April 16, 2024
概括
优化基因中的同名编码子.
科学领域:
- 分子生物学分子生物学
- 生物技术是生物技术.
- 遗传学 是一个遗传学.
背景情况:
- 遗传密码的退化允许一个氨基酸有多个编码子.
- 同义代码子选择影响蛋白质表达,特别是在大肠杆菌中.
- 在5'-end的mRNA二次结构可以阻碍翻译启动.
研究的目的:
- 开发一种高效的方法来优化蛋白质表达,使用同义代码子替代.
- 为了克服in silico基因优化的局限性.
- 增强细菌中表达不良的蛋白质的表达.
主要方法:
- 创建一个部分随机的图书馆的表达式构造与选定的同义变体.
- 感兴趣的基因与光蛋白记者基因的融合.
- 基于记者信号强度选变异,以识别高表达性候选者.
主要成果:
- 证明了三种蛋白质的 prokaryotic 表达的显著增加:犬类的 cystatin C,人类的 BCL2 相关的 athanogene 3 和人类的心脏 I.
- 验证了选方法的有效性,以识别最佳的同名密码体变异.
- 通过这种方法实现了蛋白质产量的大幅改善.
结论:
- 为优化细菌中的蛋白质表达而开发了一种新,简单和具有成本效益的方法.
- 这种方法为表达不良的蛋白质提供了一个有效的替代品,而不是在中优化.
- 随机图书馆的选为基因工程和蛋白质生产提供了一个强大的工具.
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