TY  - JOUR
AU  - Buescher, Joerg M
AU  - Antoniewicz, Maciek R
AU  - Boros, Laszlo G
AU  - Burgess, Shawn C
AU  - Brunengraber, Henri
AU  - Clish, Clary B
AU  - DeBerardinis, Ralph J
AU  - Feron, Olivier
AU  - Frezza, Christian
AU  - Ghesquiere, Bart
AU  - Gottlieb, Eyal
AU  - Hiller, Karsten
AU  - Jones, Russell G
AU  - Kamphorst, Jurre J
AU  - Kibbey, Richard G
AU  - Kimmelman, Alec C
AU  - Locasale, Jason W
AU  - Lunt, Sophia Y
AU  - Maddocks, Oliver DK
AU  - Malloy, Craig
AU  - Metallo, Christian M
AU  - Meuillet, Emmanuelle J
AU  - Munger, Joshua
AU  - Nöh, Katharina
AU  - Rabinowitz, Joshua D
AU  - Ralser, Markus
AU  - Sauer, Uwe
AU  - Stephanopoulos, Gregory
AU  - St-Pierre, Julie
AU  - Tennant, Daniel A
AU  - Wittmann, Christoph
AU  - Vander Heiden, Matthew G
AU  - Vazquez, Alexei
AU  - Vousden, Karen
AU  - Young, Jamey D
AU  - Zamboni, Nicola
AU  - Fendt, Sarah-Maria
TI  - A roadmap for interpreting 13C metabolite labeling patterns from cells
JO  - Current opinion in biotechnology
VL  - 34
SN  - 0958-1669
CY  - Amsterdam [u.a.]
PB  - Elsevier Science
M1  - FZJ-2015-01750
SP  - 189 - 201
PY  - 2015
AB  - 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.
LB  - PUB:(DE-HGF)16
UR  - <Go to ISI:>//WOS:000361256300026
C6  - pmid:25731751
DO  - DOI:10.1016/j.copbio.2015.02.003
UR  - https://juser.fz-juelich.de/record/188342
ER  -