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通过化学蛋白质组学辅助的表型筛选构建无细胞系统

Engineering cell-free systems by chemoproteomic-assisted phenotypic screening.

作者信息

Levitskaya Zarina, Ser Zheng, Koh Hiromi, Mei Wang Shi, Chee Sharon, Sobota Radoslaw Mikolaj, Ghadessy John F

机构信息

Protein and Peptide Engineering and Research Laboratory, Institute of Molecular and Cell Biology, Agency for Science, Technology and Research (A*STAR) 8A Biomedical Grove Singapore 138648

Function Proteomics Laboratory, Institute of Molecular and Cell Biology, Agency for Science, Technology and Research (A*STAR) 8A Biomedical Grove Singapore 138648

出版信息

RSC Chem Biol. 2024 Mar 6;5(4):372-385. doi: 10.1039/d4cb00004h. eCollection 2024 Apr 3.

Abstract

Phenotypic screening is a valuable tool to both understand and engineer complex biological systems. We demonstrate the functionality of this approach in the development of cell-free protein synthesis (CFPS) technology. Phenotypic screening identified numerous compounds that enhanced protein production in yeast lysate CFPS reactions. Notably, many of these were competitive ATP kinase inhibitors, with the exploitation of their inherent substrate promiscuity redirecting ATP flux towards heterologous protein expression. Chemoproteomic-guided strain engineering partially phenocopied drug effects, with a 30% increase in protein yield observed upon deletion of the ATP-consuming SSA1 component of the HSP70 chaperone. Moreover, drug-mediated metabolic rewiring coupled with template optimization generated the highest protein yields in yeast CFPS to date using a hitherto less efficient, but more cost-effective glucose energy regeneration system. Our approach highlights the utility of target-agnostic phenotypic screening and target identification to deconvolute cell-lysate complexity, adding to the expanding repertoire of strategies for improving CFPS.

摘要

表型筛选是理解和构建复杂生物系统的一种有价值的工具。我们在无细胞蛋白质合成(CFPS)技术的开发中证明了这种方法的功能。表型筛选鉴定出了许多能增强酵母裂解物CFPS反应中蛋白质产量的化合物。值得注意的是,其中许多是竞争性ATP激酶抑制剂,利用它们固有的底物混杂性将ATP通量重定向至异源蛋白质表达。化学蛋白质组学指导的菌株工程部分模拟了药物效应,在删除HSP70伴侣蛋白的ATP消耗成分SSA1后,观察到蛋白质产量提高了30%。此外,药物介导的代谢重布线与模板优化相结合,使用一种迄今效率较低但成本效益更高的葡萄糖能量再生系统,在酵母CFPS中产生了迄今为止最高的蛋白质产量。我们的方法突出了无靶点表型筛选和靶点鉴定在解开细胞裂解物复杂性方面的效用,为改进CFPS的策略库增添了内容。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/077c/10989505/fad075bdc798/d4cb00004h-f1.jpg

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