Literature DB >> 22898717

Isotopically nonstationary 13C flux analysis of Myc-induced metabolic reprogramming in B-cells.

Taylor A Murphy1, Chi V Dang, Jamey D Young.   

Abstract

We assessed several methods of (13)C metabolic flux analysis (MFA) and found that isotopically nonstationary MFA achieved maximum flux resolution in cultured P493-6 B-cells, which have been engineered to provide tunable expression of the Myc oncoprotein. Comparison of metabolic flux maps obtained under oncogenic (High) and endogenous (Low) Myc expression levels revealed network-wide reprogramming in response to ectopic Myc expression. High Myc cells relied more heavily on mitochondrial oxidative metabolism than Low Myc cells and globally upregulated their consumption of amino acids relative to glucose. TCA cycle and amphibolic mitochondrial pathways exhibited 2- to 4-fold flux increases in High Myc cells, in contrast to modest increases in glucose uptake and lactate excretion. Because our MFA approach relied exclusively upon isotopic measurements of protein-bound amino acids and RNA-bound ribose, it is readily applicable to more complex tumor models that are not amenable to direct extraction and isotopic analysis of free intracellular metabolites.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22898717      PMCID: PMC3535509          DOI: 10.1016/j.ymben.2012.07.008

Source DB:  PubMed          Journal:  Metab Eng        ISSN: 1096-7176            Impact factor:   9.783


  76 in total

1.  Elementary metabolite units (EMU): a novel framework for modeling isotopic distributions.

Authors:  Maciek R Antoniewicz; Joanne K Kelleher; Gregory Stephanopoulos
Journal:  Metab Eng       Date:  2006-09-17       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

3.  Metabolic flux analysis in a nonstationary system: fed-batch fermentation of a high yielding strain of E. coli producing 1,3-propanediol.

Authors:  Maciek R Antoniewicz; David F Kraynie; Lisa A Laffend; Joanna González-Lergier; Joanne K Kelleher; Gregory Stephanopoulos
Journal:  Metab Eng       Date:  2007-02-23       Impact factor: 9.783

4.  Evidence for an alternative glycolytic pathway in rapidly proliferating cells.

Authors:  Matthew G Vander Heiden; Jason W Locasale; Kenneth D Swanson; Hadar Sharfi; Greg J Heffron; Daniel Amador-Noguez; Heather R Christofk; Gerhard Wagner; Joshua D Rabinowitz; John M Asara; Lewis C Cantley
Journal:  Science       Date:  2010-09-17       Impact factor: 47.728

5.  Flux analysis shows that hypoxia-inducible-factor-1-alpha minimally affects intracellular metabolism in tumor spheroids.

Authors:  Byoung-jin Kim; Neil S Forbes
Journal:  Biotechnol Bioeng       Date:  2007-04-15       Impact factor: 4.530

6.  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

7.  The oncogene c-Myc coordinates regulation of metabolic networks to enable rapid cell cycle entry.

Authors:  Fionnuala Morrish; Nicola Neretti; John M Sedivy; David M Hockenbery
Journal:  Cell Cycle       Date:  2008-02-08       Impact factor: 4.534

Review 8.  The interplay between MYC and HIF in cancer.

Authors:  Chi V Dang; Jung-whan Kim; Ping Gao; Jason Yustein
Journal:  Nat Rev Cancer       Date:  2008-01       Impact factor: 60.716

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

Review 10.  Dichloroacetate (DCA) as a potential metabolic-targeting therapy for cancer.

Authors:  E D Michelakis; L Webster; J R Mackey
Journal:  Br J Cancer       Date:  2008-09-02       Impact factor: 7.640

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  46 in total

1.  Regulation of substrate utilization by the mitochondrial pyruvate carrier.

Authors:  Nathaniel M Vacanti; Ajit S Divakaruni; Courtney R Green; Seth J Parker; Robert R Henry; Theodore P Ciaraldi; Anne N Murphy; Christian M Metallo
Journal:  Mol Cell       Date:  2014-10-30       Impact factor: 17.970

Review 2.  Pluripotent stem cell energy metabolism: an update.

Authors:  Tara Teslaa; Michael A Teitell
Journal:  EMBO J       Date:  2014-12-04       Impact factor: 11.598

Review 3.  Plant metabolic modeling: achieving new insight into metabolism and metabolic engineering.

Authors:  Kambiz Baghalian; Mohammad-Reza Hajirezaei; Falk Schreiber
Journal:  Plant Cell       Date:  2014-10-24       Impact factor: 11.277

Review 4.  Methods and advances in metabolic flux analysis: a mini-review.

Authors:  Maciek R Antoniewicz
Journal:  J Ind Microbiol Biotechnol       Date:  2015-01-23       Impact factor: 3.346

Review 5.  MYC and mitochondrial biogenesis.

Authors:  Fionnuala Morrish; David Hockenbery
Journal:  Cold Spring Harb Perspect Med       Date:  2014-05-01       Impact factor: 6.915

6.  MYC Disrupts the Circadian Clock and Metabolism in Cancer Cells.

Authors:  Brian J Altman; Annie L Hsieh; Arjun Sengupta; Saikumari Y Krishnanaiah; Zachary E Stine; Zandra E Walton; Arvin M Gouw; Anand Venkataraman; Bo Li; Pankuri Goraksha-Hicks; Sharon J Diskin; David I Bellovin; M Celeste Simon; Jeffrey C Rathmell; Mitchell A Lazar; John M Maris; Dean W Felsher; John B Hogenesch; Aalim M Weljie; Chi V Dang
Journal:  Cell Metab       Date:  2015-09-17       Impact factor: 27.287

Review 7.  MYC, Metabolism, and Cancer.

Authors:  Zachary E Stine; Zandra E Walton; Brian J Altman; Annie L Hsieh; Chi V Dang
Journal:  Cancer Discov       Date:  2015-09-17       Impact factor: 39.397

Review 8.  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

9.  Enzymatic passaging of human embryonic stem cells alters central carbon metabolism and glycan abundance.

Authors:  Mehmet G Badur; Hui Zhang; Christian M Metallo
Journal:  Biotechnol J       Date:  2015-09-10       Impact factor: 4.677

10.  13C metabolic flux analysis of microbial and mammalian systems is enhanced with GC-MS measurements of glycogen and RNA labeling.

Authors:  Christopher P Long; Jennifer Au; Jacqueline E Gonzalez; Maciek R Antoniewicz
Journal:  Metab Eng       Date:  2016-06-22       Impact factor: 9.783

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