Literature DB >> 25731751

A roadmap for interpreting (13)C metabolite labeling patterns from cells.

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 inn class="Chemical">sights 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.
Copyright © 2015 Elsevier Ltd. All rights reserved.

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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


  98 in total

1.  Bioreaction network topology and metabolic flux ratio analysis by biosynthetic fractional 13C labeling and two-dimensional NMR spectroscopy.

Authors:  T Szyperski; R W Glaser; M Hochuli; J Fiaux; U Sauer; J E Bailey; K Wüthrich
Journal:  Metab Eng       Date:  1999-07       Impact factor: 9.783

2.  Accurate assessment of amino acid mass isotopomer distributions for metabolic flux analysis.

Authors:  Maciek R Antoniewicz; Joanne K Kelleher; Gregory Stephanopoulos
Journal:  Anal Chem       Date:  2007-09-07       Impact factor: 6.986

Review 3.  Flux analysis and metabolomics for systematic metabolic engineering of microorganisms.

Authors:  Yoshihiro Toya; Hiroshi Shimizu
Journal:  Biotechnol Adv       Date:  2013-05-13       Impact factor: 14.227

Review 4.  Isotopically non-stationary metabolic flux analysis: complex yet highly informative.

Authors:  Wolfgang Wiechert; Katharina Nöh
Journal:  Curr Opin Biotechnol       Date:  2013-04-24       Impact factor: 9.740

5.  Reversibility of the mitochondrial isocitrate dehydrogenase reaction in the perfused rat liver. Evidence from isotopomer analysis of citric acid cycle intermediates.

Authors:  C Des Rosiers; C A Fernandez; F David; H Brunengraber
Journal:  J Biol Chem       Date:  1994-11-04       Impact factor: 5.157

6.  Correcting for the effects of natural abundance in stable isotope resolved metabolomics experiments involving ultra-high resolution mass spectrometry.

Authors:  Hunter Nb Moseley
Journal:  BMC Bioinformatics       Date:  2010-03-17       Impact factor: 3.169

Review 7.  Metabolic flux rewiring in mammalian cell cultures.

Authors:  Jamey D Young
Journal:  Curr Opin Biotechnol       Date:  2013-05-28       Impact factor: 9.740

8.  Quantification and mass isotopomer profiling of α-keto acids in central carbon metabolism.

Authors:  Michael Zimmermann; Uwe Sauer; Nicola Zamboni
Journal:  Anal Chem       Date:  2014-02-24       Impact factor: 6.986

Review 9.  Metabolic networks in motion: 13C-based flux analysis.

Authors:  Uwe Sauer
Journal:  Mol Syst Biol       Date:  2006-11-14       Impact factor: 11.429

10.  Quantitative flux analysis reveals folate-dependent NADPH production.

Authors:  Jing Fan; Jiangbin Ye; Jurre J Kamphorst; Tomer Shlomi; Craig B Thompson; Joshua D Rabinowitz
Journal:  Nature       Date:  2014-05-04       Impact factor: 49.962

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  205 in total

1.  Stable isotopes and LC-MS for monitoring metabolic disturbances in Friedreich's ataxia platelets.

Authors:  Andrew J Worth; Sankha S Basu; Eric C Deutsch; Wei-Ting Hwang; Nathaniel W Snyder; David R Lynch; Ian A Blair
Journal:  Bioanalysis       Date:  2015       Impact factor: 2.681

2.  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 3.  Metabolic Regulation of Angiogenesis in Diabetes and Aging.

Authors:  Naoki Sawada; Zolt Arany
Journal:  Physiology (Bethesda)       Date:  2017-07

Review 4.  Applications of metabolomics to study cancer metabolism.

Authors:  Akash K Kaushik; Ralph J DeBerardinis
Journal:  Biochim Biophys Acta Rev Cancer       Date:  2018-04-25       Impact factor: 10.680

5.  A three-minute method for high-throughput quantitative metabolomics and quantitative tracing experiments of central carbon and nitrogen pathways.

Authors:  Travis Nemkov; Kirk C Hansen; Angelo D'Alessandro
Journal:  Rapid Commun Mass Spectrom       Date:  2017-04-30       Impact factor: 2.419

6.  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 7.  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

8.  Profiling the Metabolism of Human Cells by Deep 13C Labeling.

Authors:  Nina Grankvist; Jeramie D Watrous; Kim A Lagerborg; Yaroslav Lyutvinskiy; Mohit Jain; Roland Nilsson
Journal:  Cell Chem Biol       Date:  2018-09-27       Impact factor: 8.116

9.  Rational Design of a Parthenolide-based Drug Regimen That Selectively Eradicates Acute Myelogenous Leukemia Stem Cells.

Authors:  Shanshan Pei; Mohammad Minhajuddin; Angelo D'Alessandro; Travis Nemkov; Brett M Stevens; Biniam Adane; Nabilah Khan; Fred K Hagen; Vinod K Yadav; Subhajyoti De; John M Ashton; Kirk C Hansen; Jonathan A Gutman; Daniel A Pollyea; Peter A Crooks; Clayton Smith; Craig T Jordan
Journal:  J Biol Chem       Date:  2016-08-29       Impact factor: 5.157

10.  Hyperpolarized MRI Visualizes Warburg Effects and Predicts Treatment Response to mTOR Inhibitors in Patient-Derived ccRCC Xenograft Models.

Authors:  Yiyu Dong; Roozbeh Eskandari; Chelsea Ray; Kristin L Granlund; Lidia Dos Santos-Cunha; Vesselin Z Miloushev; Sui Seng Tee; Sangmoo Jeong; Omer Aras; Ying-Bei Chen; Emily H Cheng; James J Hsieh; Kayvan R Keshari
Journal:  Cancer Res       Date:  2018-11-20       Impact factor: 12.701

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