通过工程生物传感器高通量优化酵母的蛋白质分泌。

IF 14.3 1区 工程技术 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Trends in biotechnology Pub Date : 2024-12-13 DOI:10.1016/j.tibtech.2024.11.010
Alexandra Cleaver, Runpeng Luo, Oliver B Smith, Lydia Murphy, Benjamin Schwessinger, Joseph Brock
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引用次数: 0

摘要

高价值蛋白质和酶的分泌是合成生物学经济的基础,可以在生产过程中连续发酵和蛋白质纯化而不需要细胞裂解。大多数真核生物的蛋白质分泌是由n端信号肽(SP)编码的;然而,SP序列变化对特定蛋白分泌效率的强烈影响尚不清楚。尽管天然SP序列多样性很高,但大多数重组蛋白分泌系统只使用少数具有良好特征的SP。此外,启动子和终止子的选择可以显著影响分泌效率,但筛选大量遗传结构体以获得最佳序列仍然效率低下。在这里,我们采用酵母g蛋白偶联受体(GPCR)生物传感器来测量与任何感兴趣的蛋白(POI)共同分泌的肽标签的浓度。因此,可以通过诱导受体激活下游上调的荧光报告蛋白来量化蛋白质分泌效率。这使得高通量筛选超过6000个启动子,SPs和终止子的组合,使用一锅组合金门克隆组装。我们证明这种生物传感器可以快速识别最佳的分泌物组合,并量化分泌水平。我们的研究结果强调了SP优化作为设计异源蛋白表达策略的第一步的重要性,证明了高通量筛选(HTS)方法在最大化分泌效率方面的价值。
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High-throughput optimisation of protein secretion in yeast via an engineered biosensor.

Secretion of high-value proteins and enzymes is fundamental to the synthetic biology economy, allowing continuous fermentation during production and protein purification without cell lysis. Most eukaryotic protein secretion is encoded by an N-terminal signal peptide (SP); however, the strong impact of SP sequence variation on the secretion efficiency of a given protein is not well defined. Despite high natural SP sequence diversity, most recombinant protein secretion systems use only a few well-characterised SPs. Additionally, the selection of promoters and terminators can significantly affect secretion efficiency, yet screening numerous genetic constructs for optimal sequences remains inefficient. Here, we adapted a yeast G-protein-coupled receptor (GPCR) biosensor, to measure the concentration of a peptide tag that is co-secreted with any protein of interest (POI). Thus, protein secretion efficiency can be quantified via induction of a fluorescent reporter that is upregulated downstream of receptor activation. This enabled high-throughput screening of over 6000 combinations of promoters, SPs, and terminators, assembled using one-pot Combinatorial Golden Gate cloning. We demonstrate this biosensor can quickly identify best combinations for secretion and quantify secretion levels. Our results highlight the importance of SP optimisation as an initial step in designing heterologous protein expression strategies, demonstrating the value of high-throughput screening (HTS) approaches for maximising secretion efficiency.

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来源期刊
Trends in biotechnology
Trends in biotechnology 工程技术-生物工程与应用微生物
CiteScore
28.60
自引率
1.20%
发文量
198
审稿时长
1 months
期刊介绍: Trends in Biotechnology publishes reviews and perspectives on the applied biological sciences, focusing on useful science applied to, derived from, or inspired by living systems. The major themes that TIBTECH is interested in include: Bioprocessing (biochemical engineering, applied enzymology, industrial biotechnology, biofuels, metabolic engineering) Omics (genome editing, single-cell technologies, bioinformatics, synthetic biology) Materials and devices (bionanotechnology, biomaterials, diagnostics/imaging/detection, soft robotics, biosensors/bioelectronics) Therapeutics (biofabrication, stem cells, tissue engineering and regenerative medicine, antibodies and other protein drugs, drug delivery) Agroenvironment (environmental engineering, bioremediation, genetically modified crops, sustainable development).
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