Bibliographic Details
| Title: |
Absolute Quantification of the Central Carbon Metabolome in Eight Commonly Applied Prokaryotic and Eukaryotic Model Systems. |
| Authors: |
Røst, Lisa M., Brekke Thorfinnsdottir, Lilja, Kumar, Kanhaiya, Fuchino, Katsuya, Eide Langørgen, Ida, Bartosova, Zdenka, Kristiansen, Kåre Andre, Bruheim, Per |
| Source: |
Metabolites (2218-1989); Feb2020, Vol. 10 Issue 2, p74, 1p |
| Subject Terms: |
TANDEM mass spectrometry, KREBS cycle, PENTOSE phosphate pathway, BIOLOGICAL systems, METABOLOMICS, ALGAL growth, ALGAL cells |
| Abstract: |
Absolute quantification of intracellular metabolite pools is a prerequisite for modeling and in-depth biological interpretation of metabolomics data. It is the final step of an elaborate metabolomics workflow, with challenges associated with all steps—from sampling to quantifying the physicochemically diverse metabolite pool. Chromatographic separation combined with mass spectrometric (MS) detection is the superior platform for high coverage, selective, and sensitive detection of metabolites. Herein, we apply our quantitative MS-metabolomics workflow to measure and present the central carbon metabolome of a panel of commonly applied biological model systems. The workflow includes three chromatographic methods combined with isotope dilution tandem mass spectrometry to allow for absolute quantification of 68 metabolites of glycolysis, the pentose phosphate pathway, the tricarboxylic acid cycle, and the amino acid and (deoxy) nucleoside pools. The biological model systems; Bacillus subtilis, Saccharomyces cerevisiae, two microalgal species, and four human cell lines were all cultured in commonly applied culture media and sampled in exponential growth phase. Both literature and databases are scarce with comprehensive metabolite datasets, and existing entries range over several orders of magnitude. The workflow and metabolite panel presented herein can be employed to expand the list of reference metabolomes, as encouraged by the metabolomics community, in a continued effort to develop and refine high-quality quantitative metabolomics workflows. [ABSTRACT FROM AUTHOR] |
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| Database: |
Complementary Index |
