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Science
Article . 2023 . Peer-reviewed
Data sources: Crossref
Science
Article . 2023
MPG.PuRe
Article . 2023
Data sources: MPG.PuRe
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Protein-metabolite interactomics of carbohydrate metabolism reveal regulation of lactate dehydrogenase

Authors: Kevin G. Hicks; Ahmad A. Cluntun; Heidi L. Schubert; Sean R. Hackett; Jordan A. Berg; Paul G. Leonard; Mariana A. Ajalla Aleixo; +39 Authors

Protein-metabolite interactomics of carbohydrate metabolism reveal regulation of lactate dehydrogenase

Abstract

Metabolic networks are interconnected and influence diverse cellular processes. The protein-metabolite interactions that mediate these networks are frequently low affinity and challenging to systematically discover. We developed mass spectrometry integrated with equilibrium dialysis for the discovery of allostery systematically (MIDAS) to identify such interactions. Analysis of 33 enzymes from human carbohydrate metabolism identified 830 protein-metabolite interactions, including known regulators, substrates, and products as well as previously unreported interactions. We functionally validated a subset of interactions, including the isoform-specific inhibition of lactate dehydrogenase by long-chain acyl–coenzyme A. Cell treatment with fatty acids caused a loss of pyruvate-lactate interconversion dependent on lactate dehydrogenase isoform expression. These protein-metabolite interactions may contribute to the dynamic, tissue-specific metabolic flexibility that enables growth and survival in an ever-changing nutrient environment.

Country
Germany
Keywords

L-Lactate Dehydrogenase, Allosteric Regulation, Organ Specificity, Fatty Acids, Metabolome, Humans, Carbohydrate Metabolism, Mass Spectrometry

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    126
    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
126
Top 1%
Top 10%
Top 0.1%
Green