Literature DB >> 24021936

COMPLETE-MFA: complementary parallel labeling experiments technique for metabolic flux analysis.

Robert W Leighty1, Maciek R Antoniewicz.   

Abstract

We have developed a novel approach for measuring highly accurate and precise metabolic fluxes in living cells, termed COMPLETE-MFA, short for complementary parallel labeling experiments technique for metabolic flux analysis. The COMPLETE-MFA method is based on combined analysis of multiple isotopic labeling experiments, where the synergy of using complementary tracers greatly improves the precision of estimated fluxes. In this work, we demonstrate the COMPLETE-MFA approach using all singly labeled glucose tracers, [1-(13)C], [2-(13)C], [3-(13)C], [4-(13)C], [5-(13)C], and [6-(13)C]glucose to determine precise metabolic fluxes for wild-type Escherichia coli. Cells were grown in six parallel cultures on defined medium with glucose as the only carbon source. Mass isotopomers of biomass amino acids were measured by gas chromatography-mass spectrometry (GC-MS). The data from all six experiments were then fitted simultaneously to a single flux model to determine accurate intracellular fluxes. We obtained a statistically acceptable fit with more than 300 redundant measurements. The estimated flux map is the most precise flux result obtained thus far for E. coli cells. To our knowledge, this is the first time that six isotopic labeling experiments have been successfully integrated for high-resolution (13)C-flux analysis.
Copyright © 2013 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  (13)C tracers; Combined flux analysis; E. coli; Metabolic network; Parallel experiments

Mesh:

Substances:

Year:  2013        PMID: 24021936     DOI: 10.1016/j.ymben.2013.08.006

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


  36 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

2.  Fast growth phenotype of E. coli K-12 from adaptive laboratory evolution does not require intracellular flux rewiring.

Authors:  Christopher P Long; Jacqueline E Gonzalez; Adam M Feist; Bernhard O Palsson; Maciek R Antoniewicz
Journal:  Metab Eng       Date:  2017-09-23       Impact factor: 9.783

Review 3.  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

4.  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

5.  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

6.  Comprehensive analysis of glucose and xylose metabolism in Escherichia coli under aerobic and anaerobic conditions by 13C metabolic flux analysis.

Authors:  Jacqueline E Gonzalez; Christopher P Long; Maciek R Antoniewicz
Journal:  Metab Eng       Date:  2016-11-11       Impact factor: 9.783

7.  Dissecting the genetic and metabolic mechanisms of adaptation to the knockout of a major metabolic enzyme in Escherichia coli.

Authors:  Christopher P Long; Jacqueline E Gonzalez; Adam M Feist; Bernhard O Palsson; Maciek R Antoniewicz
Journal:  Proc Natl Acad Sci U S A       Date:  2017-12-18       Impact factor: 11.205

8.  13C metabolic flux analysis of three divergent extremely thermophilic bacteria: Geobacillus sp. LC300, Thermus thermophilus HB8, and Rhodothermus marinus DSM 4252.

Authors:  Lauren T Cordova; Robert M Cipolla; Adti Swarup; Christopher P Long; Maciek R Antoniewicz
Journal:  Metab Eng       Date:  2017-10-14       Impact factor: 9.783

9.  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

10.  (13)C-metabolic flux analysis of co-cultures: A novel approach.

Authors:  Nikodimos A Gebreselassie; Maciek R Antoniewicz
Journal:  Metab Eng       Date:  2015-07-26       Impact factor: 9.783

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