A roadmap for interpreting 13C metabolite labeling patterns from cells

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

doi:10.1016/j.copbio.2015.02.003

A roadmap for interpreting ¹³C metabolite labeling patterns from cells

Joerg M Buescher
, Maciek R Antoniewicz
, Laszlo G Boros
, Shawn C Burgess
, Henri Brunengraber
, Clary B Clish
, Ralph J DeBerardinis
, Olivier Feron
, Christian Frezza
, Bart Ghesquiere
, Eyal Gottlieb
, Karsten Hiller
, Russell G Jones
, Jurre J Kamphorst
, Richard G Kibbey
, Alec C Kimmelman
, Jason W Locasale
, Sophia Y Lunt
, Oliver DK Maddocks
, Craig Malloy

Christian M Metallo, Emmanuelle J Meuillet, Joshua Munger, Katharina Nöh, Joshua D Rabinowitz, Markus Ralser, Uwe Sauer, Gregory Stephanopoulos, Julie St-Pierre, Daniel A Tennant, Christoph Wittmann, Matthew G Vander Heiden, Alexei Vazquez, Karen Vousden, Jamey D Young, Nicola Zamboni, Sarah Maria Fendt^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

298 Citations (Scopus)

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.

Original language	English
Pages (from-to)	189-201
Number of pages	13
Journal	Current Opinion in Biotechnology
Volume	34
Early online date	28 Feb 2015
DOIs	https://doi.org/10.1016/j.copbio.2015.02.003
Publication status	Published - Aug 2015

ASJC Scopus subject areas

Biotechnology
Bioengineering
Biomedical Engineering

Access to Document

10.1016/j.copbio.2015.02.003

Cite this

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. DK., ... Fendt, S. M. (2015). A roadmap for interpreting ¹³C metabolite labeling patterns from cells. Current Opinion in Biotechnology, 34, 189-201. https://doi.org/10.1016/j.copbio.2015.02.003

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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.",

author = "Buescher, \{Joerg M\} and Antoniewicz, \{Maciek R\} and Boros, \{Laszlo G\} and Burgess, \{Shawn C\} and Henri Brunengraber and Clish, \{Clary B\} and DeBerardinis, \{Ralph J\} and Olivier Feron and Christian Frezza and Bart Ghesquiere and Eyal Gottlieb and Karsten Hiller 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 Craig Malloy and Metallo, \{Christian M\} and Meuillet, \{Emmanuelle J\} and Joshua Munger and Katharina N{\"o}h and Rabinowitz, \{Joshua D\} and Markus Ralser and Uwe Sauer and Gregory Stephanopoulos and Julie St-Pierre and Tennant, \{Daniel A\} and Christoph Wittmann and \{Vander Heiden\}, \{Matthew G\} and Alexei Vazquez and Karen Vousden and Young, \{Jamey D\} and Nicola Zamboni and Fendt, \{Sarah Maria\}",

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Buescher, JM, Antoniewicz, MR, Boros, LG, Burgess, SC, Brunengraber, H, Clish, CB, DeBerardinis, RJ, Feron, O, Frezza, C, Ghesquiere, B, Gottlieb, E, Hiller, K, Jones, RG, Kamphorst, JJ, Kibbey, RG, Kimmelman, AC, Locasale, JW, Lunt, SY, Maddocks, ODK, Malloy, C, Metallo, CM, Meuillet, EJ, Munger, J, Nöh, K, Rabinowitz, JD, Ralser, M, Sauer, U, Stephanopoulos, G, St-Pierre, J, Tennant, DA, Wittmann, C, Vander Heiden, MG, Vazquez, A, Vousden, K, Young, JD, Zamboni, N & Fendt, SM 2015, 'A roadmap for interpreting ¹³C metabolite labeling patterns from cells', Current Opinion in Biotechnology, vol. 34, pp. 189-201. https://doi.org/10.1016/j.copbio.2015.02.003

TY - JOUR

T1 - A roadmap for interpreting 13C metabolite labeling patterns from cells

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

PY - 2015/8

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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.

UR - https://www.scopus.com/pages/publications/84923596826

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DO - 10.1016/j.copbio.2015.02.003

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SN - 0958-1669

VL - 34

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JO - Current Opinion in Biotechnology

JF - Current Opinion in Biotechnology