Computational Platform for Flux Analysis Using 13C-Label Tracing- Phase I SBIR Final Report

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Isotopic label tracing is a powerful experimental technique that can be combined with metabolic models to quantify metabolic fluxes in an organism under a particular set of growth conditions. In this work we constructed a genome-scale metabolic model of Methylobacterium extorquens, a facultative methylotroph with potential application in the production of useful chemicals from methanol. A series of labeling experiments were performed using 13C-methanol, and the resulting distribution of labeled carbon in the proteinogenic amino acids was determined by mass spectrometry. Algorithms were developed to analyze this data in context of the metabolic model, yielding flux distributions for wild-type and ... continued below

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Van Dien, Stephen J. April 12, 2005.

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Isotopic label tracing is a powerful experimental technique that can be combined with metabolic models to quantify metabolic fluxes in an organism under a particular set of growth conditions. In this work we constructed a genome-scale metabolic model of Methylobacterium extorquens, a facultative methylotroph with potential application in the production of useful chemicals from methanol. A series of labeling experiments were performed using 13C-methanol, and the resulting distribution of labeled carbon in the proteinogenic amino acids was determined by mass spectrometry. Algorithms were developed to analyze this data in context of the metabolic model, yielding flux distributions for wild-type and several engineered strains of M. extorquens. These fluxes were compared to those predicted by model simulation alone, and also integrated with microarray data to give an improved understanding of the metabolic physiology of this organism.

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2.63

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  • Report No.: DOE ER83965-1
  • Grant Number: FG02-04ER83965
  • DOI: 10.2172/859298 | External Link
  • Office of Scientific & Technical Information Report Number: 859298
  • Archival Resource Key: ark:/67531/metadc779020

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  • April 12, 2005

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  • Dec. 3, 2015, 9:30 a.m.

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  • Aug. 3, 2016, 6:20 p.m.

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Van Dien, Stephen J. Computational Platform for Flux Analysis Using 13C-Label Tracing- Phase I SBIR Final Report, report, April 12, 2005; United States. (digital.library.unt.edu/ark:/67531/metadc779020/: accessed August 23, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.