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13C metabolic flux analysis: optimal design of isotopic labeling experiments
Institution:1. Department of Chemical and Biomolecular Engineering, Vanderbilt University, PMB 351604, Nashville, TN 37235-1604, USA;2. Department of Molecular Physiology and Biophysics, Vanderbilt University, PMB 351604, Nashville, TN 37235-1604, USA;1. Department of Chemical and Biomolecular Engineering, Vanderbilt University, PMB 351604, Nashville, TN 37235-1604, USA;2. Department of Molecular Physiology and Biophysics, Vanderbilt University, PMB 351604, Nashville, TN 37235-1604, USA;1. Université de Toulouse, INSA, UPS, INP, LISBP, F-31077 Toulouse, France;2. INRA, UMR 792, Ingénierie des Systèmes Biologiques et des Procédés, F-31400 Toulouse, France;3. CNRS, UMR 5504, F-31400 Toulouse, France;4. Universität des Saarlande, Systembiotechnologie Campus, D-66123 Saarbrücken, Germany
Abstract:
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  • Highlights► Design of isotopic labeling experiments determines the precision of flux estimates. ► New approaches were developed to select optimal isotopic tracers and measurements. ► Tandem mass spectrometry provides more informative data for 13C flux analysis. ► Parallel labeling experiments can improve the quality of flux estimates. ► New methods are needed for optimal design of parallel labeling experiments.
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