首页> 美国卫生研究院文献>Computational and Structural Biotechnology Journal >Engineering Translation in Mammalian Cell Factories to Increase Protein Yield: The Unexpected Use of Long Non-Coding SINEUP RNAs
【2h】

Engineering Translation in Mammalian Cell Factories to Increase Protein Yield: The Unexpected Use of Long Non-Coding SINEUP RNAs

机译:哺乳动物细胞工厂中的工程翻译以增加蛋白质产量:长非编码SINEUP RNA的意外使用

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Mammalian cells are an indispensable tool for the production of recombinant proteins in contexts where function depends on post-translational modifications. Among them, Chinese Hamster Ovary (CHO) cells are the primary factories for the production of therapeutic proteins, including monoclonal antibodies (MAbs). To improve expression and stability, several methodologies have been adopted, including methods based on media formulation, selective pressure and cell- or vector engineering. This review presents current approaches aimed at improving mammalian cell factories that are based on the enhancement of translation. Among well-established techniques (codon optimization and improvement of mRNA secondary structure), we describe SINEUPs, a family of antisense long non-coding RNAs that are able to increase translation of partially overlapping protein-coding mRNAs. By exploiting their modular structure, SINEUP molecules can be designed to target virtually any mRNA of interest, and thus to increase the production of secreted proteins. Thus, synthetic SINEUPs represent a new versatile tool to improve the production of secreted proteins in biomanufacturing processes.
机译:在功能取决于翻译后修饰的情况下,哺乳动物细胞是生产重组蛋白必不可少的工具。其中,中国仓鼠卵巢(CHO)细胞是生产治疗性蛋白质(包括单克隆抗体(MAb))的主要工厂。为了提高表达和稳定性,已采用了几种方法,包括基于培养基配方,选择性压力和细胞或载体工程的方法。这篇综述提出了基于改进翻译的旨在改善哺乳动物细胞工厂的当前方法。在成熟的技术(密码子优化和mRNA二级结构的改进)中,我们描述了SINEUPs,这是一个反义长非编码RNA家族,能够增加部分重叠的蛋白质编码mRNA的翻译。通过利用其模块化结构,可以将SINEUP分子设计为靶向几乎所有感兴趣的mRNA,从而增加分泌蛋白的产量。因此,合成SINEUPs代表了一种新的通用工具,可以改善生物制造过程中分泌蛋白的产生。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号