
Gas chromatography-mass spectrometry (GC-MS) profiles were generated from U87 glioma cells and human mesenchymal stem cells (hMSC). 37 metabolites representing glycolysis intermediates, TCA cycle metabolites, amino acids and lipids were selected for a detailed analysis. The concentrations of these metabolites were compared and Pearson correlation coefficients were used to calculate the relationship between pairs of metabolites. Metabolite profiles and correlation patterns differ significantly between the two cell lines. These profiles can be considered as a signature of the underlying biochemical system and provide snap-shots of the metabolism in mesenchymal stem cells and tumor cells.
Computational Biology, Humans, Mesenchymal Stem Cells, Glioma, Amino Acids, Lipid Metabolism, Institut für Biochemie und Biologie, Gas Chromatography-Mass Spectrometry, Metabolic Networks and Pathways, Cell Line
Computational Biology, Humans, Mesenchymal Stem Cells, Glioma, Amino Acids, Lipid Metabolism, Institut für Biochemie und Biologie, Gas Chromatography-Mass Spectrometry, Metabolic Networks and Pathways, Cell Line
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