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A roadmap for interpreting 13C metabolite labeling patterns from cells
Open accessAbstract
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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- 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).
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