Literature DB >> 23111062

Parallel labeling experiments with [1,2-(13)C]glucose and [U-(13)C]glutamine provide new insights into CHO cell metabolism.

Woo Suk Ahn1, Maciek R Antoniewicz.   

Abstract

We applied a parallel labeling strategy using two isotopic tracers, [1,2-(13)C]glucose and [U-(13)C]glutamine, to determine metabolic fluxes in Chinese hamster ovary (CHO) cells. CHO cells were grown in parallel cultures over a period of six days with glucose and glutamine feeding. On days 2 and 5, isotopic tracers were introduced and (13)C-labeling of intracellular metabolites was measured by gas chromatography-mass spectrometry (GC-MS). Metabolites in glycolysis pathway reached isotopic steady state for [1,2-(13)C]glucose within 1.5h, and metabolites in the TCA cycle reached isotopic steady state for [U-(13)C]glutamine within 3h. Combined analysis of multiple data sets produced detailed flux maps at two key metabolic phases, exponential growth phase (day 2) and early stationary phase (day 5). Flux results revealed significant rewiring of intracellular metabolism in the transition from growth to non-growth, including changes in oxidative pentose phosphate pathway, anaplerosis, amino acid metabolism, and fatty acid biosynthesis. At the growth phase, de novo fatty acid biosynthesis correlated well with the lipid requirements for cell growth. However, surprisingly, at the non-growth phase the fatty acid biosynthesis flux remained high even though no new lipids were needed for cell growth. Additionally, we identified a discrepancy in the estimated TCA cycle flux obtained using traditional stoichiometric flux balancing and (13)C-metabolic flux analysis. Our results suggested that CHO cells produced additional metabolites from glucose that were not captured in previous metabolic models. Follow-up experiments with [U-(13)C]glucose confirmed that additional metabolites were accumulating in the medium that became M+3 and M+6 labeled.
Copyright © 2012 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 23111062     DOI: 10.1016/j.ymben.2012.10.001

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


  49 in total

Review 1.  Metabolic flux analysis of Escherichia coli knockouts: lessons from the Keio collection and future outlook.

Authors:  Christopher P Long; Maciek R Antoniewicz
Journal:  Curr Opin Biotechnol       Date:  2014-03-28       Impact factor: 9.740

Review 2.  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

3.  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 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

5.  Comprehensive metabolic modeling of multiple 13C-isotopomer data sets to study metabolism in perfused working hearts.

Authors:  Scott B Crown; Joanne K Kelleher; Rosanne Rouf; Deborah M Muoio; Maciek R Antoniewicz
Journal:  Am J Physiol Heart Circ Physiol       Date:  2016-08-05       Impact factor: 4.733

6.  Complete genome sequence, metabolic model construction and phenotypic characterization of Geobacillus LC300, an extremely thermophilic, fast growing, xylose-utilizing bacterium.

Authors:  Lauren T Cordova; Christopher P Long; Keerthi P Venkataramanan; Maciek R Antoniewicz
Journal:  Metab Eng       Date:  2015-09-21       Impact factor: 9.783

7.  13C isotope-assisted methods for quantifying glutamine metabolism in cancer cells.

Authors:  Jie Zhang; Woo Suk Ahn; Paulo A Gameiro; Mark A Keibler; Zhe Zhang; Gregory Stephanopoulos
Journal:  Methods Enzymol       Date:  2014       Impact factor: 1.600

8.  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

9.  Stable inhibition of mmu-miR-466h-5p improves apoptosis resistance and protein production in CHO cells.

Authors:  Aliaksandr Druz; Young-Jin Son; Michael Betenbaugh; Joseph Shiloach
Journal:  Metab Eng       Date:  2013-01-29       Impact factor: 9.783

10.  Quantification of Metabolic Rearrangements During Neural Stem Cells Differentiation into Astrocytes by Metabolic Flux Analysis.

Authors:  João V Sá; Susanne Kleiderman; Catarina Brito; Ursula Sonnewald; Marcel Leist; Ana P Teixeira; Paula M Alves
Journal:  Neurochem Res       Date:  2016-04-12       Impact factor: 3.996

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.