Chae Young Kee, Kim Seol Hyun, Markley John L
Department of Chemistry, Sejong University, Seoul, Korea.
Department of Biochemistry, University of Wisconsin - Madison, Wisconsin, United States of America.
PLoS One. 2017 May 9;12(5):e0177233. doi: 10.1371/journal.pone.0177233. eCollection 2017.
Escherichia coli has been the most widely used host to produce large amounts of heterologous proteins. However, given an input plasmid DNA, E. coli may produce soluble protein, produce only inclusion bodies, or yield little or no protein at all. Many efforts have been made to surmount these problems, but most of them have involved time-consuming and labor-intensive trial-and-error. We hypothesized that different metabolomic fingerprints might be associated with different protein production outcomes. If so, then it might be possible to change the expression pattern by manipulating the metabolite environment. As a first step in testing this hypothesis, we probed a subset of the intracellular metabolites by partially labeling it with 13C-glucose. We tested 71 genes and identified 17 metabolites by employing the two-dimensional NMR spectroscopy. The statistical analysis showed that there existed the metabolite compositions favoring protein production. We hope that this work would help devise a systematic and predictive approach to the recombinant protein production.
大肠杆菌一直是用于大量生产异源蛋白的最广泛使用的宿主。然而,对于输入的质粒DNA,大肠杆菌可能产生可溶性蛋白、只产生包涵体,或者几乎不产生蛋白或完全不产生蛋白。人们已经做出了许多努力来克服这些问题,但大多数努力都涉及耗时且费力的反复试验。我们假设不同的代谢组学指纹可能与不同的蛋白质生产结果相关。如果是这样,那么通过操纵代谢物环境来改变表达模式可能是可行的。作为检验这一假设的第一步,我们用13C-葡萄糖对细胞内代谢物的一个子集进行部分标记来进行探测。我们测试了71个基因,并通过二维核磁共振光谱鉴定了17种代谢物。统计分析表明存在有利于蛋白质生产的代谢物组成。我们希望这项工作将有助于设计出一种系统的、可预测的重组蛋白生产方法。