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Selection of High Producers From Combinatorial Libraries for the Production of Recombinant Proteins in Escherichia coli and Vibrio natriegens

机译:从组合图书馆中选择高产量的生产者以在大肠杆菌和纳氏弧菌中生产重组蛋白

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摘要

The optimization of recombinant protein production in bacteria is an important stage of process development, especially for difficult-to-express proteins that are particularly sensitive or recalcitrant. The optimal expression level must be neither too low, which would limit yields, nor too high, which would promote the formation of insoluble inclusion bodies. Expression can be optimized by testing different combinations of elements such as ribosome binding sites and N-terminal affinity tags, but the rate of protein synthesis is strongly dependent on mRNA secondary structures so the combined effects of these elements must be taken into account. This substantially increases the complexity of high-throughput expression screening. To address this limitation, we generated libraries of constructs systematically combining different ribosome binding sites, N-terminal affinity tags, and periplasmic translocation sequences representing two secretion pathways. Each construct also contained a green fluorescent protein (GFP) tag to allow the identification of high producers and a thrombin cleavage site enabling the removal of fusion tags. To achieve proof of principle, we generated libraries of 200 different combinations of elements for the expression of an antimicrobial peptide (AMPs), an antifungal peptide, and the enzyme urate oxidase (uricase) in Escherichia coli and Vibrio natriegens. High producers for all three difficult-to-express products were enriched by fluorescence-activated cell sorting. Our results indicated that the E. coli ssYahJ secretion signal is recognized in V. natriegens and efficiently mediates translocation to the periplasm. Our combinatorial library approach therefore allows the cross-species direct selection of high-producer clones for difficult-to-express proteins by systematically evaluating the combined impact of multiple construct elements.
机译:细菌中重组蛋白生产的优化是过程开发的重要阶段,特别是对于难于表达的蛋白,这些蛋白特别敏感或难降解。最佳表达水平既不能太低(会限制产量),也不能太高(会促进不溶性包涵体的形成)。可以通过测试元素的不同组合(例如核糖体结合位点和N末端亲和标签)来优化表达,但是蛋白质合成的速度强烈取决于mRNA的二级结构,因此必须考虑这些元素的组合作用。这实质上增加了高通量表达筛选的复杂性。为了解决此限制,我们生成了构建体库,系统地结合了代表两个分泌途径的不同核糖体结合位点,N末端亲和标记和周质易位序列。每个构建体还包含绿色荧光蛋白(GFP)标签以允许鉴定高产量的产品和凝血酶裂解位点,从而可以去除融合标签。为获得原理证明,我们生成了200种元素的不同组合的文库,用于在大肠杆菌和天然弧菌中表达抗微生物肽(AMPs),抗真菌肽和尿酸氧化酶(尿酸酶)。通过荧光激活细胞分选,丰富了所有三种难以表达的产品的高产量。我们的结果表明,大肠杆菌ssYahJ分泌信号在V. natriegens中得到识别,并有效介导易位至周质。因此,我们的组合文库方法可通过系统地评估多个构建元件的综合影响,跨物种直接选择难以表达的蛋白质的高产克隆。

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