A roadmap for interpreting 13C metabolite labeling patterns from cells
Author(s)
Stephanopoulos, Gregory
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Measuring intracellular metabolism has increasingly led to important insights in biomedical research. [superscript 13]C tracer analysis, although less information-rich than quantitative [superscript 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 nutrientcontributions. Here, we review selected key issues in interpreting [superscript 13]C metabolite labeling patterns, with the goal of drawing accurate conclusions from steady state and dynamic stable isotopic tracer experiments
Date issued
2015-08Department
Massachusetts Institute of Technology. Department of Chemical EngineeringJournal
Current Opinion in Biotechnology
Publisher
Elsevier
Citation
Buescher, Joerg M et al. “A Roadmap for Interpreting 13C Metabolite Labeling Patterns from Cells.” Current Opinion in Biotechnology 34 (2015): 189–201.
Version: Author's final manuscript
ISSN
09581669