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| Content Provider | World Health Organization (WHO)-Global Index Medicus |
|---|---|
| Author | Jürchott, Kathrin Guo, Ke-Tai Catchpole, Gareth Feher, Kristen Willmitzer, Lothar Schichor, Christian Selbig, Joachim |
| Description | Country affiliation: Germany Author Affiliation: Jürchott K ( AG Bioinformatics, Institute for Biochemistry and Biology, University of Potsdam, Germany. juerchott@mpimp-golm.mpg.de) |
| Abstract | 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. |
| File Format | HTM / HTML |
| ISSN | 03032647 |
| Issue Number | 2 |
| Volume Number | 105 |
| e-ISSN | 18728324 |
| Journal | Biosystems |
| Language | English |
| Publisher | Elsevier |
| Publisher Date | 2011-08-01 |
| Publisher Place | Ireland |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Discipline Computational Biology Amino Acids Metabolism Glioma Lipid Metabolism Mesenchymal Stromal Cells Metabolic Networks And Pathways Cell Line Computational Biology Gas Chromatography-mass Spectrometry Methods Humans Comparative Study Journal Article Research Support, Non-u.s. Gov't |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Statistics and Probability Medicine Biochemistry, Genetics and Molecular Biology Modeling and Simulation |
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