A roadmap for interpreting 13C metabolite labeling patterns from cells
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Joerg M Buescher Maciek R Antoniewicz Laszlo G Boros Shawn C Burgess Henri Brunengraber Clary B Clish Ralph J DeBerardinis Olivier Feron Christian Frezza Bart Ghesquiere Eyal Gottlieb Karsten Hiller Russell G Jones Jurre J Kamphorst Richard G Kibbey Alec C Kimmelman Jason W Locasale Sophia Y Lunt Oliver Dk Maddocks Craig Malloy Christian M Metallo Emmanuelle J Meuillet Joshua Munger Katharina Nöh Joshua D Rabinowitz Markus Ralser Uwe Sauer Gregory Stephanopoulos Julie St-Pierre Daniel A Tennant Christoph Wittmann Matthew G Vander Heiden Alexei Vazquez Karen Vousden Jamey D Young Nicola Zamboni Sarah-Maria Fendt Toggle all authors (37)
Abstract
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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Publisher website (DOI) 10.1016/j.copbio.2015.02.003
Europe PubMed Central 25731751
Pubmed 25731751
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