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用于蛋白质工程的转座子。

Transposon for protein engineering.

作者信息

Shah Vandan, Kim Jin Ryoun

机构信息

Othmer-Jacobs Department of Chemical and Biomolecular Engineering, New York University , Brooklyn, NY, USA.

出版信息

Mob Genet Elements. 2016 Sep 22;6(6):e1239601. doi: 10.1080/2159256X.2016.1239601. eCollection 2016.

Abstract

Protein insertional fusion and circular permutation are 2 promising protein engineering techniques for creating integrated functionalities and sequence diversity of a protein, respectively. Finding insertion locations for protein insertional fusion and new termini for circular permutation through a rational approach is not always straightforward, especially, for proteins without detailed structural knowledge. On the contrary, a combinatorial approach facilitates a comprehensive search to evaluate all potential insertion sites and new termini locations. Conventional methods used to create random insertional fusion libraries generate sub-optimal inter-domain linker length and composition between fused proteins. There are also methods available for construction of random circular permutation libraries. However, these methods too, impose many drawbacks, such as significant sequence modification at the new termini of circular permutants and additionally, require re-design of transposons for tailored expression of circular permutants. Furthermore, these conventional methods employ relatively inefficient blunt-end ligation during library construction. In this commentary, we present a concise overview and key findings of engineered Mu transposons, which have recently been developed in our group as a facile and efficient tool to alleviate limitations realized from conventional methods and to construct high quality libraries for random insertional fusion and random circular permutation.

摘要

蛋白质插入融合和环形排列是两种很有前景的蛋白质工程技术,分别用于创造蛋白质的整合功能和序列多样性。通过合理的方法找到蛋白质插入融合的插入位置和环形排列的新末端并非总是易事,尤其是对于那些没有详细结构信息的蛋白质。相反,组合方法有助于进行全面搜索,以评估所有潜在的插入位点和新末端位置。用于创建随机插入融合文库的传统方法会产生融合蛋白之间次优的结构域间连接子长度和组成。也有构建随机环形排列文库的方法。然而,这些方法也存在许多缺点,例如环形排列突变体新末端的显著序列修饰,此外,还需要重新设计转座子以实现环形排列突变体的定制表达。此外,这些传统方法在文库构建过程中采用相对低效的平端连接。在这篇评论中,我们简要概述了工程化Mu转座子及其关键发现,该转座子最近由我们团队开发,是一种简便高效的工具,可缓解传统方法带来的局限性,并构建用于随机插入融合和随机环形排列的高质量文库。

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