No abstract

ObjectiveThe 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 13C-labeled substrates targeting central metabolic pathways.MethodsWe designed a stable isotope tracing strategy to interrogate post-harvest metabolic activity during subcellular fractionation using liquid chromatography-mass spectrometry (LC-MS).ResultsWe 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 mitochondrial and cytosolic metabolic analyses.ConclusionsOur 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.

No abstract

Metabolism is highly compartmentalized within cells, and the sub-cellular distribution of metabolites determines their use. Quantitative sub-cellular metabolomic measurements can yield crucial insights into the roles of metabolites in cellular processes. Yet, these analyses are subject to multiple confounding factors in sample preparation. We developed Stable Isotope Labeling of Essential nutrients in cell Culture - Sub-cellular Fractionation (SILEC-SF), which uses rigorous internal standard controls that are present throughout fractionation and processing to quantify metabolites in sub-cellular compartments by liquid chromatography-mass spectrometry (LC-MS). Focusing on the analysis of acyl-Coenzyme A thioester metabolites (acyl-CoAs), SILEC-SF was tested in a range of sample types from cell lines to mouse and human tissues. Its utility was further validated by analysis of mitochondrial versus cytosolic acyl-CoAs in the well-defined compartmentalized metabolic response to hypoxia. We then applied the method to investigate metabolic responses in the cytosol and nucleus. Within the cytosol, we found that the mevalonate pathway intermediate 3-Hydroxy-3-methylglutaryl-CoA (HMG-CoA) is exquisitely sensitive to acetyl-CoA supply. The nucleus has been an exceptionally challenging compartment in which to quantify metabolites, due in part to its permeability. We applied the SILEC-SF method to nuclei, identifying that the nuclear acyl-CoA profile is distinct from the cytosolic compartment, with notable nuclear enrichment of propionyl-CoA. Altogether, we present the SILEC-SF method as a flexible approach for quantitative sub-cellular metabolic analyses.

Quantification of cellular deoxyribonucleoside mono-(dNMP), di-(dNDP), triphosphates (dNTPs) and related nucleoside metabolites are difficult due to their physiochemical properties and widely varying abundance. Involvement of dNTP metabolism in cellular processes including senescence and pathophysiological processes including cancer and viral infection make dNTP metabolism an important bioanalytical target. We modified a previously developed ion pairing reversed phase chromatography-mass spectrometry method for the simultaneous quantification and 13 C isotope tracing of dNTP metabolites. dNMPs, dNDPs, and dNTPs were chromatographically resolved to avoid mis-annotation of in-source fragmentation. We used commercially available 13 C 15 N-stable isotope labeled analogs as internal standards and show that this isotope dilution approach improves analytical figures of merit. At sufficiently high mass resolution achievable on an Orbitrap mass analyzer, stable isotope resolved metabolomics allows simultaneous isotope dilution quantification and 13 C isotope tracing from major substrates including 13 C-glucose. As a proof of principle, we quantified dNMP, dNDP and dNTP pools from multiple cell lines. We also identified isotopologue enrichment from glucose corresponding to ribose from the pentose-phosphate pathway in dNTP metabolites.