Abstract
Metabolic flux analysis represents an essential perspective to understand cellular physiology and offers quantitative information to guide pathway engineering. A valuable approach for experimental elucidation of metabolic flux is dynamic flux analysis, which estimates the relative or absolute flow rates through a series of metabolic intermediates in a given pathway. It is based on kinetic isotope labeling experiments, liquid chromatography-mass spectrometry (LC-MS), and computational analysis that relate kinetic isotope trajectories of metabolites to pathway activity. Herein, we illustrate the mathematic principles underlying the dynamic flux analysis and mainly focus on describing the experimental procedures for data generation. This protocol is exemplified using cyanobacterial metabolism as an example, for which reliable labeling data for central carbon metabolites can be acquired quantitatively. This protocol is applicable to other microbial systems as well and can be readily adapted to address different metabolic processes.
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Acknowledgments
This work was supported by the National Renewable Energy Laboratory (NREL) Director’s Fellowship (Laboratory Directed Research and Development Subtask 06271403. This work was authored in part by Alliance for Sustainable Energy, LLC, the Manager and Operator of the National Renewable Energy Laboratory for the U.S. Department of Energy (DOE) under Contract No. DE-AC36-08GO28308. The views expressed in the chapter do not necessarily represent the views of the DOE or the U.S. Government. The U.S. Government retains and the publisher, by accepting the article for publication, acknowledges that the U.S. Government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this work, or allow others to do so, for U.S. Government purposes.
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Xiong, W., Jiang, H., Maness, P. (2020). Dynamic Flux Analysis: An Experimental Approach of Fluxomics. In: Himmel, M., Bomble, Y. (eds) Metabolic Pathway Engineering. Methods in Molecular Biology, vol 2096. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-0195-2_14
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DOI: https://doi.org/10.1007/978-1-0716-0195-2_14
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