Nontargeted in vitro metabolomics for high-throughput identification of novel enzymes in Escherichia coli

被引:0
|
作者
Sevin, Daniel C. [1 ,2 ,3 ]
Fuhrer, Tobias [1 ]
Zamboni, Nicola [1 ]
Sauer, Uwe [1 ]
机构
[1] ETH, Inst Mol Syst Biol, Zurich, Switzerland
[2] Life Sci Zurich, PhD Program Syst Biol, Zurich, Switzerland
[3] GlaxoSmithKline R&D, Cellzome, Heidelberg, Germany
关键词
CONSERVED HYPOTHETICAL PROTEINS; SEQUENCE; DEHYDROGENASE; INFORMATION; METABOLISM; DISCOVERY; NETWORKS; LIBRARY;
D O I
10.1038/NMETH.4103
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Our understanding of metabolism is limited by a lack of knowledge about the functions of many enzymes. Here, we develop a high-throughput mass spectrometry approach to comprehensively profile proteins for in vitro enzymatic activity. Overexpressed or purified proteins are incubated in a supplemented metabolome extract containing hundreds of biologically relevant candidate substrates, and accumulating and depleting metabolites are determined by nontargeted mass spectrometry. By combining chemometrics and database approaches, we established an automated pipeline for unbiased annotation of the functions of novel enzymes. In screening all 1,275 functionally uncharacterized Escherichia coli proteins, we discovered 241 potential novel enzymes, 12 of which we experimentally validated. Our high-throughput in vitro metabolomics method is generally applicable to any purified protein or crude cell lysate of its overexpression host and enables performing up to 1,200 nontargeted enzyme assays per working day.
引用
收藏
页码:187 / 194
页数:8
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