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A roadmap for interpreting 13C metabolite labeling patterns from cells

Open access
Buescher, Joerg M, Antoniewicz, Maciek R, Boros, Laszlo G, Burgess, Shawn C, Brunengraber, Henri, Clish, Clary B, DeBerardinis, Ralph J, Feron, Olivier, Frezza, Christian, Ghesquiere, Bart, Gottlieb, Eyal, Hiller, Karsten, Jones, Russell G, Kamphorst, Jurre J, Kibbey, Richard G, Kimmelman, Alec C, Locasale, Jason W, Lunt, Sophia Y, Maddocks, Oliver DK, Malloy, Craig, Metallo, Christian M, Meuillet, Emmanuelle J, Munger, Joshua, Nöh, Katharina, Rabinowitz, Joshua D, Ralser, Markus, Sauer, Uwe, Stephanopoulos, Gregory, St-Pierre, Julie, Tennant, Daniel A, Wittmann, Christoph, Vander Heiden, Matthew G, Vazquez, Alexei, Vousden, Karen, Young, Jamey D, Zamboni, Nicola, Fendt, Sarah-Maria·2015·Current Opinion in Biotechnology

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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Metadata

Authors
Buescher, J. M., Antoniewicz, M. R., Boros, L. G., Burgess, S. C., Brunengraber, H., Clish, C. B., DeBerardinis, R. J., Feron, O., Frezza, C., Ghesquiere, B., Gottlieb, E., Hiller, K., Jones, R. G., Kamphorst, J. J., Kibbey, R. G., Kimmelman, A. C., Locasale, J. W., Lunt, S. Y., Maddocks, O. D., Malloy, C., Metallo, C. M., Meuillet, E. J., Munger, J., Nöh, K., Rabinowitz, J. D., Ralser, M., Sauer, U., Stephanopoulos, G., St-Pierre, J., Tennant, D. A., Wittmann, C., Vander Heiden, M. G., Vazquez, A., Vousden, K., Young, J. D., Zamboni, N., & Fendt, S.-M.
Venue
Current Opinion in Biotechnology
Publisher
Elsevier BV
Published
2015-08
Volume
34
Pages
189-201
ISSN
0958-1669 (ISSN-L)
OpenAlex
W2137386173
Cited by
629
References
16
FWCI
4.33
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: A roadmap for interpreting 13C metabolite labeling patterns from cells. https://app.cochat.ai/papers/10.1016/j.copbio.2015.02.003
The paper
Buescher, J. M., Antoniewicz, M. R., Boros, L. G., Burgess, S. C., Brunengraber, H., Clish, C. B., DeBerardinis, R. J., Feron, O., Frezza, C., Ghesquiere, B., Gottlieb, E., Hiller, K., Jones, R. G., Kamphorst, J. J., Kibbey, R. G., Kimmelman, A. C., Locasale, J. W., Lunt, S. Y., Maddocks, O. D., . . . Fendt, S.-M. (2015). A roadmap for interpreting 13C metabolite labeling patterns from cells. Current Opinion in Biotechnology. https://doi.org/10.1016/j.copbio.2015.02.003

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.