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Journal article

Combined Rapid Injection NMR and Simulation Approach to Probe Redox-Dependent Pathway Control in Living Cells

From

Magnetic Resonance, Department of Health Technology, Technical University of Denmark1

Department of Health Technology, Technical University of Denmark2

Center for Hyperpolarization in Magnetic Resonance, Centers, Technical University of Denmark3

Quantitative Modeling of Cell Metabolism, Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark4

iLoop, Translational Management, Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark5

Research Groups, Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark6

Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark7

Department of Chemistry, Technical University of Denmark8

Dynamic response of intracellular reaction cascades to changing environments is a hallmark of living systems. As metabolism is complex, mechanistic models have gained popularity for describing the dynamic response of cellular metabolism and for identifying target genes for engineering. At the same time, the detailed tracking of transient metabolism in living cells on the sub-minute timescale has become amenable using dynamic nuclear polarization enhanced 13C NMR.

Here, we suggest an approach combining in-cell NMR spectroscopy with perturbation experiments and modeling to obtain evidence that the bottlenecks of yeast glycolysis depend on intracellular redox state. In pre-steady state glycolysis, pathway bottlenecks shift from downstream to upstream reactions within few seconds, consistent with a rapid decline in the NAD+/NADH ratio.

Simulations using mechanistic models reproduce the experimentally observed response and help identify unforeseen biochemical events. Remaining inaccuracies in the computational models can be identified experimentally. The combined use of rapid injection NMR spectroscopy and in silico simulations provides a promising method for characterizing cellular reactions with increasing mechanistic detail.

Language: English
Publisher: American Chemical Society
Year: 2019
Pages: 5395-5402
ISSN: 15204782 , 00032700 and 15206882
Types: Journal article
DOI: 10.1021/acs.analchem.9b00660
ORCIDs: Jensen, Pernille Rose , Matos, Marta , Sonnenschein, Nikolaus and Meier, Sebastian

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