A roadmap for interpreting (13)C metabolite labeling patterns from cells. Author Joerg Buescher, Maciek Antoniewicz, Laszlo Boros, Shawn Burgess, Henri Brunengraber, Clary Clish, Ralph DeBerardinis, Olivier Feron, Christian Frezza, Bart Ghesquiere, Eyal Gottlieb, Karsten Hiller, Russell Jones, Jurre Kamphorst, Richard Kibbey, Alec Kimmelman, Jason Locasale, Sophia Lunt, Oliver Maddocks, Craig Malloy, Christian Metallo, Emmanuelle Meuillet, Joshua Munger, Katharina Nöh, Joshua Rabinowitz, Markus Ralser, Uwe Sauer, Gregory Stephanopoulos, Julie St-Pierre, Daniel Tennant, Christoph Wittmann, Matthew Heiden, Alexei Vazquez, Karen Vousden, Jamey Young, Nicola Zamboni, Sarah-Maria Fendt Publication Year 2015 Type Journal Article 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. Journal Curr Opin Biotechnol Volume 34 Pages 189-201 Date Published 02/2015 Alternate Journal Curr. Opin. Biotechnol. Google ScholarBibTeXEndNote X3 XML