Literature DB >> 23495969

Development of isotope labeling liquid chromatography-mass spectrometry for metabolic profiling of bacterial cells and its application for bacterial differentiation.

Yiman Wu1, Liang Li.   

Abstract

Quantitative and comprehensive profiling of cellular metabolites is currently a challenging task in bacterial metabolomics. In this work, a simple and robust method for profiling the amine- and phenol-containing metabolome of bacterial cells is described. The overall workflow consists of methanol-based cell lysis and metabolite extraction with ultrasonication, differential isotope dansylation labeling of cellular metabolites, and analysis of the labeled metabolites by liquid chromatography-mass spectrometry (LC-MS). Over a thousand peak pairs or putative metabolites can be detected from bacterial cells in a 25 min LC-MS run and near 2500 putative metabolites can be found in one bacterium from combined results of multiple analyses. After careful examination and optimization of the sample preparation process, this method is shown to be effective for both Gram-positive and Gram-negative bacteria. An idea of applying LC-ultraviolet (UV) detection to quantify the total amount of labeled metabolites is shown to be effective for normalizing the amounts of metabolites present in different samples for metabolome comparison. The use of differential isotopic labeling allows relative quantification of each individual metabolite, which facilitates comparative metabolomics studies and the generation of a metabolic fingerprint of a bacterium. Finally, this method is demonstrated to be useful for the differentiation of three bacterial species in cultured media and spiked human urine samples.

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Year:  2013        PMID: 23495969     DOI: 10.1021/ac400330z

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  7 in total

1.  High-Performance Chemical Isotope Labeling Liquid Chromatography Mass Spectrometry for Exosome Metabolomics.

Authors:  Xian Luo; Mingrui An; Kyle C Cuneo; David M Lubman; Liang Li
Journal:  Anal Chem       Date:  2018-07-03       Impact factor: 6.986

2.  Proteomics and 1H NMR-based metabolomics analysis of pathogenic Vibrio vulnificus aquacultures isolated from sewage drains.

Authors:  Chundan Zhang; Zhonghua Wang; Dijun Zhang; Jun Zhou; Chenyang Lu; Xiurong Su; Dewen Ding
Journal:  Environ Sci Pollut Res Int       Date:  2017-09-01       Impact factor: 4.223

3.  15N-cholamine--a smart isotope tag for combining NMR- and MS-based metabolite profiling.

Authors:  Fariba Tayyari; G A Nagana Gowda; Haiwei Gu; Daniel Raftery
Journal:  Anal Chem       Date:  2013-08-26       Impact factor: 6.986

4.  The Impact of GFP Reporter Gene Transduction and Expression on Metabolomics of Placental Mesenchymal Stem Cells Determined by UHPLC-Q/TOF-MS.

Authors:  Jinfeng Yang; Nan Wang; Deying Chen; Jiong Yu; Qiaoling Pan; Dan Wang; Jingqi Liu; Xiaowei Shi; Xiaotian Dong; Hongcui Cao; Liang Li; Lanjuan Li
Journal:  Stem Cells Int       Date:  2017-11-05       Impact factor: 5.443

5.  Metabolomics Study of Metabolic Changes in Renal Cells in Response to High-Glucose Exposure Based on Liquid or Gas Chromatography Coupled With Mass Spectrometry.

Authors:  Liang Wang; Yan Du; Bing-Ju Xu; Xu Deng; Qing-Hua Liu; Qiao-Qiao Zhong; Chen-Xiang Wang; Shuai Ji; Meng-Zhe Guo; Dao-Quan Tang
Journal:  Front Pharmacol       Date:  2019-08-20       Impact factor: 5.810

6.  Global-Scale Metabolomic Profiling of Human Hair for Simultaneous Monitoring of Endogenous Metabolome, Short- and Long-Term Exposome.

Authors:  Ying Chen; Jian Guo; Shipei Xing; Huaxu Yu; Tao Huan
Journal:  Front Chem       Date:  2021-05-12       Impact factor: 5.221

Review 7.  Single cell metabolomics using mass spectrometry: Techniques and data analysis.

Authors:  Renmeng Liu; Zhibo Yang
Journal:  Anal Chim Acta       Date:  2020-11-25       Impact factor: 6.558

  7 in total

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