Subcellular metabolic pathway kinetics are revealed by correcting for artifactual post harvest metabolism
Sophie Trefely, Joyce Liu, Katharina Huber, Mary T. Doan, Helen Jiang, Jay Singh, Eliana von Krusenstiern, Anna Bostwick, Peining Xu, Juliane G. Bogner-Strauss, …
Endocrinology & Metabolism Life Sciences & Biomedicine Science & Technology
Objective: The dynamic regulation of metabolic pathways can be monitored by stable isotope tracing. Yet, many metabolites are part of distinct processes within different subcellular compartments. Standard isotope tracing experiments relying on analyses in whole cells may not accurately reflect compartmentalized metabolic processes. Analysis of compartmentalized metabolism and the dynamic interplay between compartments can potentially be achieved by stable isotope tracing followed by subcellular fractionation. Although it is recognized that metabolism can take place during biochemical fractionation of cells, a clear understanding of how such post-harvest metabolism impacts the interpretation of subcellular isotope tracing data and methods to correct for this are lacking. We set out to directly assess artifactual metabolism, enabling us to develop and test strategies to correct for it. We apply these techniques to examine the compartment-specific metabolic kinetics of C-13-labeled substrates targeting central metabolic pathways.
Methods: We designed a stable isotope tracing strategy to interrogate post-harvest metabolic activity during subcellular fractionation using liquid chromatography-mass spectrometry (LC-MS).
Results: We show that post-harvest metabolic activity occurs rapidly (within seconds) upon cell harvest. With further characterization we reveal that this post-harvest metabolism is enzymatic and reflects the metabolic capacity of the sub-cellular compartment analyzed, but it is limited in the extent of its propagation into downstream metabolites in metabolic pathways. We also propose and test a post-labeling strategy to assess the amount of post-harvest metabolism occurring in an experiment and then to adjust data to account for this. We validate this approach for both mitochondria! and cytosolic metabolic analyses.
Conclusions: Our data indicate that isotope tracing coupled with sub-cellular fractionation can reveal distinct and dynamic metabolic features of cellular compartments, and that confidence in such data can be improved by applying a post-labeling correction strategy. We examine compartmentalized metabolism of acetate and glutamine and show that acetyl-CoA is turned over rapidly in the cytosol and acts as a pacemaker of anabolic metabolism in this compartment. (C) 2019 The Author(s). Published by Elsevier GmbH.
Subcellular metabolic pathway kinetics are revealed by correcting for artifactual post harvest metabolism
Creators
Sophie Trefely - Drexel University
Joyce Liu - University of Pennsylvania
Katharina Huber - Graz University of Technology
Mary T. Doan - Drexel University
Helen Jiang - Drexel University
Jay Singh - Drexel University
Eliana von Krusenstiern - Drexel University
Anna Bostwick - Drexel University
Peining Xu - Drexel University
Juliane G. Bogner-Strauss - Graz University of Technology
Kathryn E. Wellen - University of Pennsylvania
Nathaniel W. Snyder - Drexel University
Publication Details
Molecular metabolism (Germany), v 30, pp 61-71
Publisher
Elsevier
Number of pages
11
Grant note
1-18-PDF-144 / American Diabetes Association post-doctoral fellowship
R01CA174761 / NCI; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Cancer Institute (NCI)
R01GM132261 / NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute of General Medical Sciences (NIGMS)
R03HD092630 / NICHHD
R01DK116005 / NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute of Diabetes & Digestive & Kidney Diseases (NIDDK)
R01GM132261 / NIGMS; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute of General Medical Sciences (NIGMS)
FWF W1226; FWF P27108 / Austrian Science Fund; Austrian Science Fund (FWF)
R01CA174761 / NATIONAL CANCER INSTITUTE; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Cancer Institute (NCI)
Resource Type
Journal article
Language
English
Academic Unit
Biochemistry and Molecular Biology; Epidemiology and Biostatistics; A.J. Drexel Autism Institute
Web of Science ID
WOS:000500474800005
Scopus ID
2-s2.0-85072950678
Other Identifier
991019168098404721
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