Literature DB >> 27343766

Phenotyping hepatocellular metabolism using uniformly labeled carbon-13 molecular probes and LC-HRMS stable isotope tracing.

John K Meissen1, David A Pirman1, Min Wan2, Emily Miller1, Aditi Jatkar2, Russell Miller2, Rick C Steenwyk1, Matthew Blatnik3.   

Abstract

Metabolite stable isotope tracing is a powerful bioanalytical strategy that has the potential to unravel phenotypic markers of early pharmaceutical efficacy by monitoring enzymatic incorporation of carbon-13 atoms into targeted pathways over time. The practice of probing biological systems with carbon-13 labeled molecules using broad MS-based screens has been utilized for many years in academic laboratories but has had limited application in the pharmaceutical R&D environment. The goal of this work was to establish a LCMS analytical workflow that was capable of monitoring carbon-13 isotope changes in glycolysis, the TCA and urea cycles, and non-essential amino acid metabolism. This work applies a standardized protein precipitation with 80% cold methanol and two distinct reverse-phase ion-pair liquid chromatography methods coupled to either a positive- or negative-ion mode high-resolution accurate mass spectrometry screening method. The data herein combines thousands of single-point peak integrations into a novel metabolite network map as a visualization aid to probe and monitor stable isotope incorporation in murine hepatocytes using uniformly labeled (13)C6 glucose, (13)C3 lactate, and (13)C5 glutamine. This work also demonstrates that nitrogen metabolism may have a large influence on the TCA cycle and gluconeogenic carbon fluxes in hepatocyte cell culture.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Central carbon metabolism; Cytoscape; High resolution mass spectrometry (HRMS); Metabolic Flux; Metabolomics; Nitrogen metabolism

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Year:  2016        PMID: 27343766     DOI: 10.1016/j.ab.2016.06.019

Source DB:  PubMed          Journal:  Anal Biochem        ISSN: 0003-2697            Impact factor:   3.365


  1 in total

1.  Metabolic programming a lean phenotype by deregulation of RNA polymerase III.

Authors:  Ian M Willis; Robyn D Moir; Nouria Hernandez
Journal:  Proc Natl Acad Sci U S A       Date:  2018-11-14       Impact factor: 11.205

  1 in total

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