Literature DB >> 19622376

Evaluation of 13C isotopic tracers for metabolic flux analysis in mammalian cells.

Christian M Metallo1, Jason L Walther, Gregory Stephanopoulos.   

Abstract

(13)C metabolic flux analysis (MFA) is the most comprehensive means of characterizing cellular metabolic states. Uniquely labeled isotopic tracers enable more focused analyses to probe specific reactions within the network. As a result, the choice of tracer largely determines the precision with which one can estimate metabolic fluxes, especially in complex mammalian systems that require multiple substrates. Here we have experimentally determined metabolic fluxes in a tumor cell line, successfully recapitulating the hallmarks of cancer cell metabolism. Using these data, we computationally evaluated specifically labeled (13)C glucose and glutamine tracers for their ability to precisely and accurately estimate fluxes in central carbon metabolism. These methods enabled us to identify the optimal tracer for analyzing individual fluxes, specific pathways, and central carbon metabolism as a whole. [1,2-(13)C(2)]glucose provided the most precise estimates for glycolysis, the pentose phosphate pathway, and the overall network. Tracers such as [2-(13)C]glucose and [3-(13)C]glucose also outperformed the more commonly used [1-(13)C]glucose. [U-(13)C(5)]glutamine emerged as the preferred isotopic tracer for the analysis of the tricarboxylic acid (TCA) cycle. These results provide valuable, quantitative information on the performance of (13)C-labeled substrates and can aid in the design of more informative MFA experiments in mammalian cell culture.

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Year:  2009        PMID: 19622376      PMCID: PMC3026314          DOI: 10.1016/j.jbiotec.2009.07.010

Source DB:  PubMed          Journal:  J Biotechnol        ISSN: 0168-1656            Impact factor:   3.307


  33 in total

1.  Quantitative analysis of acetoacetate metabolism in AS-30D hepatoma cells with 13C and 14C isotopic techniques.

Authors:  A L Holleran; G Fiskum; J K Kelleher
Journal:  Am J Physiol       Date:  1997-06

2.  Planning optimal measurements of isotopomer distributions for estimation of metabolic fluxes.

Authors:  Ari Rantanen; Taneli Mielikäinen; Juho Rousu; Hannu Maaheimo; Esko Ukkonen
Journal:  Bioinformatics       Date:  2006-02-27       Impact factor: 6.937

3.  Determination of confidence intervals of metabolic fluxes estimated from stable isotope measurements.

Authors:  Maciek R Antoniewicz; Joanne K Kelleher; Gregory Stephanopoulos
Journal:  Metab Eng       Date:  2006-04-24       Impact factor: 9.783

4.  Experimental design principles for isotopically instationary 13C labeling experiments.

Authors:  Katharina Nöh; Wolfgang Wiechert
Journal:  Biotechnol Bioeng       Date:  2006-06-05       Impact factor: 4.530

5.  Computational tools for isotopically instationary 13C labeling experiments under metabolic steady state conditions.

Authors:  Katharina Nöh; Aljoscha Wahl; Wolfgang Wiechert
Journal:  Metab Eng       Date:  2006-06-12       Impact factor: 9.783

6.  [1,2-13C2]-D-glucose profiles of the serum, liver, pancreas, and DMBA-induced pancreatic tumors of rats.

Authors:  László G Boros; Megan R Lerner; Daniel L Morgan; Stephanie L Taylor; Brenda J Smith; Russell G Postier; Daniel J Brackett
Journal:  Pancreas       Date:  2005-11       Impact factor: 3.327

7.  ATP citrate lyase inhibition can suppress tumor cell growth.

Authors:  Georgia Hatzivassiliou; Fangping Zhao; Daniel E Bauer; Charalambos Andreadis; Anthony N Shaw; Dashyant Dhanak; Sunil R Hingorani; David A Tuveson; Craig B Thompson
Journal:  Cancer Cell       Date:  2005-10       Impact factor: 31.743

8.  Systems-level metabolic flux profiling identifies fatty acid synthesis as a target for antiviral therapy.

Authors:  Joshua Munger; Bryson D Bennett; Anuraag Parikh; Xiao-Jiang Feng; Jessica McArdle; Herschel A Rabitz; Thomas Shenk; Joshua D Rabinowitz
Journal:  Nat Biotechnol       Date:  2008-09-28       Impact factor: 54.908

9.  Defective RNA ribose synthesis in fibroblasts from patients with thiamine-responsive megaloblastic anemia (TRMA).

Authors:  László G Boros; Mara P Steinkamp; Judith C Fleming; Wai-Nang Paul Lee; Marta Cascante; Ellis J Neufeld
Journal:  Blood       Date:  2003-07-31       Impact factor: 22.113

10.  High-throughput screening platform for anticancer therapeutic drug cytotoxicity.

Authors:  Bhagwant Kaur Sekhon; Rebecca Heidi Roubin; Aaron Tan; Wing Keung Chan; Daniel Man-Yuen Sze
Journal:  Assay Drug Dev Technol       Date:  2008-10       Impact factor: 1.738

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  106 in total

Review 1.  AMP-activated protein kinase: an energy sensor that regulates all aspects of cell function.

Authors:  D Grahame Hardie
Journal:  Genes Dev       Date:  2011-09-15       Impact factor: 11.361

2.  Optical sensors for monitoring dynamic changes of intracellular metabolite levels in mammalian cells.

Authors:  Bi-Huei Hou; Hitomi Takanaga; Guido Grossmann; Li-Qing Chen; Xiao-Qing Qu; Alexander M Jones; Sylvie Lalonde; Oliver Schweissgut; Wolfgang Wiechert; Wolf B Frommer
Journal:  Nat Protoc       Date:  2011-10-27       Impact factor: 13.491

Review 3.  Stable isotope-resolved metabolomics and applications for drug development.

Authors:  Teresa W-M Fan; Pawel K Lorkiewicz; Katherine Sellers; Hunter N B Moseley; Richard M Higashi; Andrew N Lane
Journal:  Pharmacol Ther       Date:  2011-12-23       Impact factor: 12.310

Review 4.  Metabolism strikes back: metabolic flux regulates cell signaling.

Authors:  Christian M Metallo; Matthew G Vander Heiden
Journal:  Genes Dev       Date:  2010-12-15       Impact factor: 11.361

5.  Inhibition of nucleotide synthesis promotes replicative senescence of human mammary epithelial cells.

Authors:  Alireza Delfarah; Sydney Parrish; Jason A Junge; Jesse Yang; Frances Seo; Si Li; John Mac; Pin Wang; Scott E Fraser; Nicholas A Graham
Journal:  J Biol Chem       Date:  2019-05-28       Impact factor: 5.157

Review 6.  Publishing 13C metabolic flux analysis studies: a review and future perspectives.

Authors:  Scott B Crown; Maciek R Antoniewicz
Journal:  Metab Eng       Date:  2013-09-08       Impact factor: 9.783

7.  Human platelets as a platform to monitor metabolic biomarkers using stable isotopes and LC-MS.

Authors:  Sankha S Basu; Eric C Deutsch; Alec A Schmaier; David R Lynch; Ian A Blair
Journal:  Bioanalysis       Date:  2013-12       Impact factor: 2.681

8.  NADPH production by the oxidative pentose-phosphate pathway supports folate metabolism.

Authors:  Li Chen; Zhaoyue Zhang; Atsushi Hoshino; Henry D Zheng; Michael Morley; Zoltan Arany; Joshua D Rabinowitz
Journal:  Nat Metab       Date:  2019-03-11

Review 9.  Understanding metabolism with flux analysis: From theory to application.

Authors:  Ziwei Dai; Jason W Locasale
Journal:  Metab Eng       Date:  2016-09-22       Impact factor: 9.783

10.  Adiposity Results in Metabolic and Inflammation Differences in Premenopausal and Postmenopausal Women Consistent with the Difference in Breast Cancer Risk.

Authors:  H Zhao; J Wang; D Fang; O Lee; R T Chatterton; V Stearns; S A Khan; S E Bulun
Journal:  Horm Cancer       Date:  2018-03-15       Impact factor: 3.869

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