利用利用高斯荧光素酶的筛选方法鉴定酵母中异源表达的改良信号肽。

IF 3.9 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Ginevra Camboni, Jared Cartwright, Gideon Grogan
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引用次数: 0

摘要

本文描述了一种高通量和敏感的筛选方法,用于改进酿酒酵母中基因靶标的表达,该筛选方法是基于酵母荧光素酶的活性。利用Agrocybe aegerita (AaeUPO)的非特异性过氧酶(Unspecific Peroxygenase, UPO)作为模型蛋白,通过在信号肽(SP)结构域内基于pcr的易出错突变,可以将靶标与AaeUPO蛋白第一个折叠结构域下游编码的Gaussia荧光素酶融合,并对表达上清进行发光检测,从而检测到表达的改善。通过这种方法,揭示了AaeUPO SP内先前未发现的改善表达的突变,并将其应用于酿酒葡萄球菌全长AaeUPO的表达。该系统与表达良好或表达不良的对照表达构建体进行了验证,结果表明,与野生型SP序列相比,最佳突变体的表达量提高了13.9倍。据设想,该协议可能普遍适用于高通量检测的改进表达酿酒酵母的结构,使用定向进化技术工程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Identification of improved signal peptides for heterologous expression in Saccharomyces using a screen that exploits Gaussia luciferase.

Identification of improved signal peptides for heterologous expression in Saccharomyces using a screen that exploits Gaussia luciferase.

Identification of improved signal peptides for heterologous expression in Saccharomyces using a screen that exploits Gaussia luciferase.

Identification of improved signal peptides for heterologous expression in Saccharomyces using a screen that exploits Gaussia luciferase.

A high-throughput and sensitive screen for the improved expression of gene targets in Saccharomyces cerevisiae is described that is based upon the activity of the luciferase from Gaussia princeps. Using the Unspecific Peroxygenase (UPO) from Agrocybe aegerita (AaeUPO) as a model protein, improvements in expression, effected through error-prone PCR-based mutation within the signal peptide (SP) domain, can be detected using fusion of the target to Gaussia luciferase encoded downstream of the first folded domain of the AaeUPO protein and luminescent assay of expression supernatants. In this way, previously undiscovered mutations within the SP of AaeUPO that improve expression were revealed, and then applied to the expression of full-length AaeUPO in S. cerevisiae. The system was validated against control expression constructs that were well or poorly expressed and indicated a 13.9-fold improvement in expression for the best mutant over the wild-type SP sequence. It is envisaged that this protocol may be applied generally to the high-throughput detection of improved expression in S. cerevisiae for constructs that are engineered using directed evolution techniques.

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来源期刊
Scientific Reports
Scientific Reports Natural Science Disciplines-
CiteScore
7.50
自引率
4.30%
发文量
19567
审稿时长
3.9 months
期刊介绍: We publish original research from all areas of the natural sciences, psychology, medicine and engineering. You can learn more about what we publish by browsing our specific scientific subject areas below or explore Scientific Reports by browsing all articles and collections. Scientific Reports has a 2-year impact factor: 4.380 (2021), and is the 6th most-cited journal in the world, with more than 540,000 citations in 2020 (Clarivate Analytics, 2021). •Engineering Engineering covers all aspects of engineering, technology, and applied science. It plays a crucial role in the development of technologies to address some of the world''s biggest challenges, helping to save lives and improve the way we live. •Physical sciences Physical sciences are those academic disciplines that aim to uncover the underlying laws of nature — often written in the language of mathematics. It is a collective term for areas of study including astronomy, chemistry, materials science and physics. •Earth and environmental sciences Earth and environmental sciences cover all aspects of Earth and planetary science and broadly encompass solid Earth processes, surface and atmospheric dynamics, Earth system history, climate and climate change, marine and freshwater systems, and ecology. It also considers the interactions between humans and these systems. •Biological sciences Biological sciences encompass all the divisions of natural sciences examining various aspects of vital processes. The concept includes anatomy, physiology, cell biology, biochemistry and biophysics, and covers all organisms from microorganisms, animals to plants. •Health sciences The health sciences study health, disease and healthcare. This field of study aims to develop knowledge, interventions and technology for use in healthcare to improve the treatment of patients.
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