| Literature DB >> 25731751 |
Joerg M Buescher1, Maciek R Antoniewicz2, Laszlo G Boros3, Shawn C Burgess4, Henri Brunengraber5, Clary B Clish6, Ralph J DeBerardinis7, Olivier Feron8, Christian Frezza9, Bart Ghesquiere1, Eyal Gottlieb10, Karsten Hiller11, Russell G Jones12, Jurre J Kamphorst13, Richard G Kibbey14, Alec C Kimmelman15, Jason W Locasale16, Sophia Y Lunt17, Oliver D K Maddocks10, Craig Malloy18, Christian M Metallo19, Emmanuelle J Meuillet20, Joshua Munger21, Katharina Nöh22, Joshua D Rabinowitz23, Markus Ralser24, Uwe Sauer25, Gregory Stephanopoulos26, Julie St-Pierre27, Daniel A Tennant28, Christoph Wittmann29, Matthew G Vander Heiden30, Alexei Vazquez10, Karen Vousden10, Jamey D Young31, Nicola Zamboni25, Sarah-Maria Fendt32.
Abstract
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.Entities:
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Year: 2015 PMID： 25731751 PMCID： PMC4552607 DOI： 10.1016/j.copbio.2015.02.003
Source DB: PubMed Journal: Curr Opin Biotechnol ISSN： 0958-1669 Impact factor: 9.740