% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@ARTICLE{Buescher:188342,
      author       = {Buescher, Joerg M and Antoniewicz, Maciek R and Boros,
                      Laszlo G and Burgess, Shawn C and Brunengraber, Henri and
                      Clish, Clary B and DeBerardinis, Ralph J and Feron, Olivier
                      and Frezza, Christian and Ghesquiere, Bart and Gottlieb,
                      Eyal and Hiller, Karsten and Jones, Russell G and Kamphorst,
                      Jurre J and Kibbey, Richard G and Kimmelman, Alec C and
                      Locasale, Jason W and Lunt, Sophia Y and Maddocks, Oliver DK
                      and Malloy, Craig and Metallo, Christian M and Meuillet,
                      Emmanuelle J and Munger, Joshua and Nöh, Katharina and
                      Rabinowitz, Joshua D and Ralser, Markus and Sauer, Uwe and
                      Stephanopoulos, Gregory and St-Pierre, Julie and Tennant,
                      Daniel A and Wittmann, Christoph and Vander Heiden, Matthew
                      G and Vazquez, Alexei and Vousden, Karen and Young, Jamey D
                      and Zamboni, Nicola and Fendt, Sarah-Maria},
      title        = {{A} roadmap for interpreting 13{C} metabolite labeling
                      patterns from cells},
      journal      = {Current opinion in biotechnology},
      volume       = {34},
      issn         = {0958-1669},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {FZJ-2015-01750},
      pages        = {189 - 201},
      year         = {2015},
      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.},
      cin          = {IBG-1},
      ddc          = {610},
      cid          = {I:(DE-Juel1)IBG-1-20101118},
      pnm          = {581 - Biotechnology (POF3-581)},
      pid          = {G:(DE-HGF)POF3-581},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000361256300026},
      pubmed       = {pmid:25731751},
      doi          = {10.1016/j.copbio.2015.02.003},
      url          = {https://juser.fz-juelich.de/record/188342},
}