Literature DB >> 11289786

Flux estimation using isotopic tracers: common ground for metabolic physiology and metabolic engineering.

J K Kelleher1.   

Abstract

Metabolic physiologists and metabolic engineers share the need to estimate flux. However, the physiologist often works with systems that do not maintain steady state for long. Many sites cannot be sampled, and calculating mass and isotopic balance for the entire system may not be feasible. To deal with these constraints, metabolic physiologists have developed specialized isotopic techniques that may be unfamiliar to metabolic engineers. A selection of these techniques is presented here, not because it is anticipated that they would be used by engineers exactly as in the physiologist's setting, but because they illustrate novel applications of tracer methodology. Creative engineers may find new adaptations of these tools in metabolic engineering and opportunities to increase redundancy. Physiologists, entering into a dialog with engineers, may see more clearly the potential of comprehensive models and revisit the impediments to a more complete analysis of human metabolic systems. Copyright 2001 Academic Press.

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Year:  2001        PMID: 11289786     DOI: 10.1006/mben.2001.0185

Source DB:  PubMed          Journal:  Metab Eng        ISSN: 1096-7176            Impact factor:   9.783


  16 in total

1.  Global metabolic effects of glycerol kinase overexpression in rat hepatoma cells.

Authors:  Ganesh Sriram; Lola Rahib; Jian-Sen He; Allison E Campos; Lilly S Parr; James C Liao; Katrina M Dipple
Journal:  Mol Genet Metab       Date:  2007-10-29       Impact factor: 4.797

2.  Electron spray ionization mass spectrometry and 2D 31P NMR for monitoring 18O/16O isotope exchange and turnover rates of metabolic oligophosphates.

Authors:  Emirhan Nemutlu; Nenad Juranic; Song Zhang; Lawrence E Ward; Tumpa Dutta; K Sreekumaran Nair; Andre Terzic; Slobodan Macura; Petras P Dzeja
Journal:  Anal Bioanal Chem       Date:  2012-03-18       Impact factor: 4.142

3.  Mass spectrometry-based microassay of (2)H and (13)C plasma glucose labeling to quantify liver metabolic fluxes in vivo.

Authors:  Clinton M Hasenour; Martha L Wall; D Emerson Ridley; Curtis C Hughey; Freyja D James; David H Wasserman; Jamey D Young
Journal:  Am J Physiol Endocrinol Metab       Date:  2015-05-19       Impact factor: 4.310

4.  Metabolic flux analysis in a nonstationary system: fed-batch fermentation of a high yielding strain of E. coli producing 1,3-propanediol.

Authors:  Maciek R Antoniewicz; David F Kraynie; Lisa A Laffend; Joanna González-Lergier; Joanne K Kelleher; Gregory Stephanopoulos
Journal:  Metab Eng       Date:  2007-02-23       Impact factor: 9.783

5.  Core fluxome and metafluxome of lactic acid bacteria under simulated cocoa pulp fermentation conditions.

Authors:  Philipp Adler; Christoph Josef Bolten; Katrin Dohnt; Carl Erik Hansen; Christoph Wittmann
Journal:  Appl Environ Microbiol       Date:  2013-07-12       Impact factor: 4.792

6.  Dynamic phosphometabolomic profiling of human tissues and transgenic models by 18O-assisted ³¹P NMR and mass spectrometry.

Authors:  Emirhan Nemutlu; Song Zhang; Anu Gupta; Nenad O Juranic; Slobodan I Macura; Andre Terzic; Arshad Jahangir; Petras Dzeja
Journal:  Physiol Genomics       Date:  2012-01-10       Impact factor: 3.107

Review 7.  The best models of metabolism.

Authors:  Eberhard O Voit
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2017-05-19

8.  In-depth profiling of lysine-producing Corynebacterium glutamicum by combined analysis of the transcriptome, metabolome, and fluxome.

Authors:  Jens Olaf Krömer; Oliver Sorgenfrei; Kai Klopprogge; Elmar Heinzle; Christoph Wittmann
Journal:  J Bacteriol       Date:  2004-03       Impact factor: 3.490

9.  Metabolic flux elucidation for large-scale models using 13C labeled isotopes.

Authors:  Patrick F Suthers; Anthony P Burgard; Madhukar S Dasika; Farnaz Nowroozi; Stephen Van Dien; Jay D Keasling; Costas D Maranas
Journal:  Metab Eng       Date:  2007-05-29       Impact factor: 9.783

Review 10.  18O-assisted dynamic metabolomics for individualized diagnostics and treatment of human diseases.

Authors:  Emirhan Nemutlu; Song Zhang; Nenad O Juranic; Andre Terzic; Slobodan Macura; Petras Dzeja
Journal:  Croat Med J       Date:  2012-12       Impact factor: 1.351

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