A roadmap for interpreting (13)C metabolite labeling patterns from cells.
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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Curr Opin Biotechnol
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MC_UU_12022/6 / Medical Research Council / United Kingdom
R01 CA157996 / CA / NCI NIH HHS / United States
R01 DK078184 / DK / NIDDK NIH HHS / United States
R01 AI081773 / AI / NIAID NIH HHS / United States
P41 EB015908 / EB / NIBIB NIH HHS / United States
R01 DK092606 / DK / NIDDK NIH HHS / United States
R01 CA160458 / CA / NCI NIH HHS / United States
MC_UP_1101/3 / Medical Research Council / United Kingdom