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A roadmap for interpreting 13C metabolite labeling patterns from cells
- Buescher, Joerg M;
- Antoniewicz, Maciek R;
- Boros, Laszlo G;
- Burgess, Shawn C;
- Brunengraber, Henri;
- Clish, Clary B;
- DeBerardinis, Ralph J;
- Feron, Olivier;
- Frezza, Christian;
- Ghesquiere, Bart;
- Gottlieb, Eyal;
- Hiller, Karsten;
- Jones, Russell G;
- Kamphorst, Jurre J;
- Kibbey, Richard G;
- Kimmelman, Alec C;
- Locasale, Jason W;
- Lunt, Sophia Y;
- Maddocks, Oliver DK;
- Malloy, Craig;
- Metallo, Christian M;
- Meuillet, Emmanuelle J;
- Munger, Joshua;
- Nöh, Katharina;
- Rabinowitz, Joshua D;
- Ralser, Markus;
- Sauer, Uwe;
- Stephanopoulos, Gregory;
- St-Pierre, Julie;
- Tennant, Daniel A;
- Wittmann, Christoph;
- Heiden, Matthew G Vander;
- Vazquez, Alexei;
- Vousden, Karen;
- Young, Jamey D;
- Zamboni, Nicola;
- Fendt, Sarah-Maria
- et al.
Published Web Location
https://doi.org/10.1016/j.copbio.2015.02.003Abstract
Measuring intracellular metabolism has increasingly led to important insights in biomedical research. (13)C tracer analysis, although less information-rich than quantitative (13)C flux analysis that requires computational data integration, has been established as a time-efficient method to unravel relative pathway activities, qualitative changes in pathway contributions, and nutrient contributions. Here, we review selected key issues in interpreting (13)C metabolite labeling patterns, with the goal of drawing accurate conclusions from steady state and dynamic stable isotopic tracer experiments.
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