Suppr超能文献

通过基于荧光激活细胞分选(FACS)的N端编码DNA文库筛选提高大肠杆菌中重组蛋白的产量。

Increasing recombinant protein production in E. coli via FACS-based selection of N-terminal coding DNA libraries.

作者信息

Herynek Štěpán, Svoboda Jakub, Huličiak Maroš, Peleg Yoav, Škultétyová Ľubica, Mikulecký Pavel, Schneider Bohdan

机构信息

Institute of Biotechnology, Czech Academy of Sciences, BIOCEV, Prague, Czech Republic.

Structural Proteomics Unit (SPU), Department of Life Sciences Core Facilities (LSCF), Weizmann Institute of Science, Rehovot, Israel.

出版信息

FEBS J. 2025 Mar;292(5):1070-1085. doi: 10.1111/febs.17376. Epub 2024 Dec 26.

Abstract

Here, we present a previously undescribed approach to modify N-terminal sequences of recombinant proteins to increase their production yield in Escherichia coli. Prior research has demonstrated that the nucleotides immediately following the start codon can significantly influence protein expression. However, the impact of these sequences is construct-specific and is not universally applicable to all proteins. Most of the previous research has been limited to selecting from a few rationally designed sequences. In contrast, we used a directed evolution-based methodology, screening large numbers of diversified sequences derived from DNA libraries coding for the N-termini of investigated proteins. To facilitate the identification of cells with increased expression of the target construct, we cloned a GFP gene at the C-terminus of the expressed genes and used fluorescent activated cell sorting (FACS) to separate cells based on their fluorescence. By following this systematic workflow, we successfully elevated the yield of soluble recombinant proteins of multiple constructs up to over 30-fold.

摘要

在此,我们展示了一种此前未被描述的方法,用于修饰重组蛋白的N端序列,以提高其在大肠杆菌中的产量。先前的研究表明,起始密码子后的核苷酸可显著影响蛋白质表达。然而,这些序列的影响具有构建体特异性,并非普遍适用于所有蛋白质。之前的大多数研究仅限于从少数合理设计的序列中进行选择。相比之下,我们使用了基于定向进化的方法,筛选了大量源自编码所研究蛋白质N端的DNA文库的多样化序列。为便于鉴定目标构建体表达增加的细胞,我们在表达基因的C端克隆了一个绿色荧光蛋白(GFP)基因,并使用荧光激活细胞分选(FACS)根据荧光对细胞进行分离。通过遵循这一系统流程,我们成功地将多种构建体的可溶性重组蛋白产量提高了30倍以上。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/384e/11880969/960e46a4638b/FEBS-292-1070-g003.jpg

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