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Methods Mol Biol. 2019;1859:301-316. doi: 10.1007/978-1-4939-8757-3_18.

Dynamic 13C Labeling of Fast Turnover Metabolites for Analysis of Metabolic Fluxes and Metabolite Channeling.

Author information

1
Department of Environmental, Energy and Chemical Engineering, Washington University in St. Louis, St. Louis, MO, USA.
2
iHuman Institute, ShanghaiTech University, Shanghai, China.
3
Department of Environmental, Energy and Chemical Engineering, Washington University in St. Louis, St. Louis, MO, USA. yinjie.tang@wustl.edu.

Abstract

Dynamic or isotopically nonstationary 13C labeling experiments are a powerful tool not only for precise carbon flux quantification (e.g., metabolic flux analysis of photoautotrophic organisms) but also for theĀ investigation of pathway bottlenecks, a cell's phenotype, and metabolite channeling. In general, isotopically nonstationary metabolic flux analysis requires three main components: (1) transient isotopic labeling experiments; (2) metabolite quenching and isotopomer analysis using LC-MS; (3) metabolic network construction and flux quantification. Labeling dynamics of key metabolites from 13C-pulse experiments allow flux estimation of key central pathways by solving ordinary differential equations to fit time-dependent isotopomer distribution data. Additionally, it is important to provide biomass requirements, carbon uptake rates, specific growth rates, and carbon excretion rates to properly and precisely balance the metabolic network. Labeling dynamics through cascade metabolites may also identify channeling phenomena in which metabolites are passed between enzymes without mixing with the bulk phase. In this chapter, we outline experimental protocols to probe metabolic pathways through dynamic labeling. We describe protocols for labeling experiments, metabolite quenching and extraction, LC-MS analysis, computational flux quantification, and metabolite channeling observations.

KEYWORDS:

Channeling; Flux analysis; Isotopic labeling experiments; LC-MS; Metabolism; Quenching

PMID:
30421238
DOI:
10.1007/978-1-4939-8757-3_18
[Indexed for MEDLINE]

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