A roadmap for interpreting (13)C metabolite labeling patterns from cells.

Journal Article (Journal Article;Review)

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.

Full Text

Duke Authors

Cited Authors

  • Buescher, JM; Antoniewicz, MR; Boros, LG; Burgess, SC; Brunengraber, H; Clish, CB; DeBerardinis, RJ; Feron, O; Frezza, C; Ghesquiere, B; Gottlieb, E; Hiller, K; Jones, RG; Kamphorst, JJ; Kibbey, RG; Kimmelman, AC; Locasale, JW; Lunt, SY; Maddocks, ODK; Malloy, C; Metallo, CM; Meuillet, EJ; Munger, J; Nöh, K; Rabinowitz, JD; Ralser, M; Sauer, U; Stephanopoulos, G; St-Pierre, J; Tennant, DA; Wittmann, C; Vander Heiden, MG; Vazquez, A; Vousden, K; Young, JD; Zamboni, N; Fendt, S-M

Published Date

  • August 2015

Published In

Volume / Issue

  • 34 /

Start / End Page

  • 189 - 201

PubMed ID

  • 25731751

Pubmed Central ID

  • PMC4552607

Electronic International Standard Serial Number (EISSN)

  • 1879-0429

Digital Object Identifier (DOI)

  • 10.1016/j.copbio.2015.02.003


  • eng

Conference Location

  • England