Literature DB >> 17425455

Cellular metabolomics of Escherchia coli.

Joshua D Rabinowitz1.   

Abstract

Escherichia coli is among the simplest and best-understood free-living organisms. It has served as a valuable model for numerous biological processes, including cellular metabolism. Just as E. coli stood at the front of the genomic revolution, it is playing a leading role in the development of cellular metabolomics: the study of the complete metabolic contents of cells, including their dynamic concentration changes and fluxes. This review briefly describes the essentials of cellular metabolomics and its fundamental differentiation from biomarker metabolomics and lipidomics. Key technologies for metabolite quantitation from E. coli are described, with a focus on those involving mass spectrometry. In particular emphasis is given to the cell handling and sample preparation steps required for collecting data of high biological reliability, such as fast metabolome quenching. Future challenges, both in terms of data collection and application of the data to obtain a comprehensive understanding of metabolic dynamics, are discussed.

Entities:  

Mesh:

Year:  2007        PMID: 17425455     DOI: 10.1586/14789450.4.2.187

Source DB:  PubMed          Journal:  Expert Rev Proteomics        ISSN: 1478-9450            Impact factor:   3.940


  15 in total

1.  High coverage metabolomics analysis reveals phage-specific alterations to Pseudomonas aeruginosa physiology during infection.

Authors:  Jeroen De Smet; Michael Zimmermann; Maria Kogadeeva; Pieter-Jan Ceyssens; Wesley Vermaelen; Bob Blasdel; Ho Bin Jang; Uwe Sauer; Rob Lavigne
Journal:  ISME J       Date:  2016-02-16       Impact factor: 10.302

2.  Absolute quantitation of intracellular metabolite concentrations by an isotope ratio-based approach.

Authors:  Bryson D Bennett; Jie Yuan; Elizabeth H Kimball; Joshua D Rabinowitz
Journal:  Nat Protoc       Date:  2008       Impact factor: 13.491

3.  Analytical strategies for LC-MS-based targeted metabolomics.

Authors:  Wenyun Lu; Bryson D Bennett; Joshua D Rabinowitz
Journal:  J Chromatogr B Analyt Technol Biomed Life Sci       Date:  2008-04-29       Impact factor: 3.205

4.  Suitability of silica hydride stationary phase, aqueous normal phase chromatography for untargeted metabolomic profiling of Enterococcus faecium and Staphylococcus aureus.

Authors:  Scott A Weisenberg; Tiffany R Butterfield; Steven M Fischer; Kyu Y Rhee
Journal:  J Sep Sci       Date:  2009-07       Impact factor: 3.645

5.  Mass conservation and inference of metabolic networks from high-throughput mass spectrometry data.

Authors:  Pradeep Bandaru; Mukesh Bansal; Ilya Nemenman
Journal:  J Comput Biol       Date:  2011-02       Impact factor: 1.479

Review 6.  Analysis of bacterial biofilms using NMR-based metabolomics.

Authors:  Bo Zhang; Robert Powers
Journal:  Future Med Chem       Date:  2012-06       Impact factor: 3.808

Review 7.  Metabolomics in systems microbiology.

Authors:  Marshall Louis Reaves; Joshua D Rabinowitz
Journal:  Curr Opin Biotechnol       Date:  2010-11-01       Impact factor: 9.740

8.  Extraction of hydrophilic metabolites from Plasmodium falciparum-infected erythrocytes for metabolomic analysis.

Authors:  Kellen L Olszewski; Manuel Llinás
Journal:  Methods Mol Biol       Date:  2013

9.  Liquid chromatography-tandem quadrupole mass spectrometry and comprehensive two-dimensional gas chromatography-time-of-flight mass spectrometry measurement of targeted metabolites of Methylobacterium extorquens AM1 grown on two different carbon sources.

Authors:  Song Yang; Martin Sadilek; Robert E Synovec; Mary E Lidstrom
Journal:  J Chromatogr A       Date:  2009-02-21       Impact factor: 4.759

10.  Kinetic flux profiling for quantitation of cellular metabolic fluxes.

Authors:  Jie Yuan; Bryson D Bennett; Joshua D Rabinowitz
Journal:  Nat Protoc       Date:  2008       Impact factor: 13.491

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.