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IsoTopics™ – November 2015

A Roadmap for Interpreting 13C Metabolite Labeling Patterns from Cells

Looking to increase the data quality and output of your 13C tracer study? This paper reviews key aspects of experimental design and data interpretation when utilizing 13C labeled tracers to interrogate cellular metabolism. Topics include: a comparison of metabolic steady state and isotopic steady state, labeling patterns of metabolites and cellular compartments, and labeling for steady state and dynamic studies.  

Abstract

Measuring intracellular metabolism has increasingly led to important insights in biomedical research. 13C tracer analysis, although less information-rich than quantitative 13C 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 13C metabolite labeling patterns, with the goal of drawing accurate conclusions from steady state and dynamic stable isotopic tracer experiments.

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Copyright © 2015 Elsevier Ltd. All rights reserved.

Authors: Buescher JM1, Antoniewicz MR2, Boros LG3, Burgess SC4, Brunengraber H5, Clish CB6, DeBerardinis RJ7, Feron O8, Frezza C9, Ghesquiere B1, Gottlieb E10,Hiller K11, Jones RG12, Kamphorst JJ13, Kibbey RG14, Kimmelman AC15, Locasale JW16, Lunt SY17, Maddocks OD10, Malloy C18, Metallo CM19, Meuillet EJ20,Munger J21, Nöh K22, Rabinowitz JD23, Ralser M24, Sauer U25, Stephanopoulos G26, St-Pierre J27, Tennant DA28, Wittmann C29, Vander Heiden MG30,Vazquez A10, Vousden K10, Young JD31, Zamboni N25, Fendt SM32.

 

 






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