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Improved Sample Preparation for Untargeted Metabolomics Profiling of Escherichia coli

Dongyang Ye, Xiaowei Li, Chengfei Wang, Saiwa Liu, Liang Zhao, Jingjing Du, Jian Xu, Jing Li, Tian Lu, Xi Xia

2021Microbiology Spectrum24 citationsDOIOpen Access PDF

Abstract

The emergence and global spread of multidrug-resistant bacteria and genes are a global problem. It is critical to understand the interactions between antibiotics and bacteria and find alternative treatments for infections when we are moving closer to a postantibiotic era. It has been demonstrated that the bacterial metabolic environment plays an important role in the modulation of antibiotic susceptibility and efficacy. In the present study, we proposed a novel metabolomic approach for intracellular metabolite profiling of E. coli, which can be used to investigate the metabolite alterations of bacteria caused by antibiotic treatment. Further understanding of antibiotic-induced perturbations of bacterial metabolism would facilitate the discovery of new therapeutic targets and pathways.

Topics & Concepts

Computational biologyEscherichia coliProfiling (computer programming)MetabolomicsBiologyGeneticsBioinformaticsComputer scienceGeneOperating systemMetabolomics and Mass Spectrometry StudiesGut microbiota and healthAdvanced Chemical Sensor Technologies