SUMOFLUX: A Generalized Method for Targeted 13C Metabolic Flux Ratio Analysis.
Metabolic fluxes are a cornerstone of cellular physiology that emerge from a complex interplay of enzymes, carriers, and nutrients. The experimental assessment of in vivo intracellular fluxes using stable isotopic tracers is essential if we are to understand metabolic function and regulation. Flux estimation based on 13C or 2H labeling relies on complex simulation and iterative fitting; processes that necessitate a level of expertise that ordinarily preclude the non-expert user. To overcome this, we have developed SUMOFLUX, a methodology that is broadly applicable to the targeted analysis of 13C-metabolic fluxes. By combining surrogate modeling and machine learning, we trained a predictor to specialize in estimating flux ratios from measurable 13C-data. SUMOFLUX targets specific flux features individually, which makes it fast, user-friendly, applicable to experimental design and robust in terms of experimental noise and exchange flux magnitude. Collectively, we predict that SUMOFLUX's properties realistically pave the way to high-throughput flux analyses.
Institute of Molecular Systems Biology, ETH Zürich, Zürich, Switzerland.|Life Science Zürich Graduate School, Zürich, Switzerland.
Maria
M
Kogadeeva
Institute of Molecular Systems Biology, ETH Zürich, Zürich, Switzerland.
Nicola
0000-0003-1271-1021
N
Zamboni
D000465:Algorithms; D002247:Carbon Isotopes / Q000032:analysis / Q000378:metabolism*; D019295:Computational Biology; D004926:Escherichia coli / Q000378:metabolism; D064688:Metabolic Flux Analysis / Q000379:methods*; D008954:Models, Biological
D002247:Carbon Isotopes