Literature DB >> 12369191

Metabolism of lactic acid bacteria studied by nuclear magnetic resonance.

Ana Ramos1, Ana Rute Neves, Helena Santos.   

Abstract

The complexity of metabolic and regulatory networks presents a great scientific challenge to an integrated view of how individual components contribute to the overall function. Nuclear magnetic resonance (NMR) spectroscopy is undoubtedly a suitable technique for global investigations of microbial metabolism, since it allows a view into living cells without disturbing the cellular organisation. Therefore, metabolic processes can be monitored in real time under physiological conditions. In the present paper, examples of the application of NMR to study the metabolism of lactic acid bacteria will be given. These include the analysis of labelling patterns in end-products using 13C as a tracer, thereby establishing metabolic pathways, the detection and quantification of intermediates in the pathway of exopolysaccharide biosynthesis, and on line monitoring of glycolytic kinetics to assess the effect of metabolic engineering strategies.

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Year:  2002        PMID: 12369191

Source DB:  PubMed          Journal:  Antonie Van Leeuwenhoek        ISSN: 0003-6072            Impact factor:   2.271


  8 in total

Review 1.  Biological systems modeling and analysis: a biomolecular technique of the twenty-first century.

Authors:  Gautam Goel; I-Chun Chou; Eberhard O Voit
Journal:  J Biomol Tech       Date:  2006-09

2.  System estimation from metabolic time-series data.

Authors:  Gautam Goel; I-Chun Chou; Eberhard O Voit
Journal:  Bioinformatics       Date:  2008-09-04       Impact factor: 6.937

3.  Parameter estimation of kinetic models from metabolic profiles: two-phase dynamic decoupling method.

Authors:  Gengjie Jia; Gregory N Stephanopoulos; Rudiyanto Gunawan
Journal:  Bioinformatics       Date:  2011-05-09       Impact factor: 6.937

4.  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

Review 5.  Systems biology of lactic acid bacteria: a critical review.

Authors:  Bas Teusink; Herwig Bachmann; Douwe Molenaar
Journal:  Microb Cell Fact       Date:  2011-08-30       Impact factor: 5.328

6.  Identification of neutral biochemical network models from time series data.

Authors:  Marco Vilela; Susana Vinga; Marco A Grivet Mattoso Maia; Eberhard O Voit; Jonas S Almeida
Journal:  BMC Syst Biol       Date:  2009-05-05

7.  Identification of a metabolic reaction network from time-series data of metabolite concentrations.

Authors:  Kansuporn Sriyudthsak; Fumihide Shiraishi; Masami Yokota Hirai
Journal:  PLoS One       Date:  2013-01-10       Impact factor: 3.240

8.  Automated smoother for the numerical decoupling of dynamics models.

Authors:  Marco Vilela; Carlos C H Borges; Susana Vinga; Ana Tereza R Vasconcelos; Helena Santos; Eberhard O Voit; Jonas S Almeida
Journal:  BMC Bioinformatics       Date:  2007-08-21       Impact factor: 3.169

  8 in total

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