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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
Youjia Zhou
Alex J. Bott
Sonia R. Salvatore
Fei Chang
Aubrie Blevins
Paige Barta
Samantha Tilley
Aaron Leifer
Andrea Guzman
Ajak Arok
Sarah Fogarty
Jacob M. Winter
Hee-Chul Ahn
Karen N. Allen
Samuel Block
Iara A. Cardoso
Jianping Ding
Ingrid Dreveny
William C. Gasper
Quinn Ho
Atsushi Matsuura
Michael J. Palladino
Sabin Prajapati
Pengkai Sun
Kai Tittmann
Dean R. Tolan
Judith Unterlass
Andrew P. VanDemark
Matthew G. Vander Heiden
Bradley A. Webb
Cai-Hong Yun
Pengkai Zhao
Bei Wang
Francisco J. Schopfer
Christopher P. Hill
Maria Cristina Nonato
Florian L. Muller
James E. Cox
Jared Rutter
Source :
Science
Publication Year :
2023
Publisher :
American Association for the Advancement of Science (AAAS), 2023.

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.

Subjects

Subjects :
Multidisciplinary
Article

Details

ISSN :
10959203 and 00368075
Volume :
379
Database :
OpenAIRE
Journal :
Science
Accession number :
edsair.doi.dedup.....352755dceffe88559d81ce00a2f38a1e