Literature DB >> 17035687

Determination of metabolic flux ratios from 13C-experiments and gas chromatography-mass spectrometry data: protocol and principles.

Annik Nanchen1, Tobias Fuhrer, Uwe Sauer.   

Abstract

Network topology is a necessary fundament to understand function and properties of microbial reaction networks. A valuable method for experimental elucidation of metabolic network topology is metabolic flux ratio analysis, which quantifies the relative contribution of two or more converging pathways to a given metabolite. It is based on 13C-labeling experiments, gas chromatography-mass spectrometry analysis, and probabilistic equations that relate mass distributions in proteinogenic amino acids to pathway activity. Here, we describe the protocol for sample generation and illustrate the principles underlying the calculation of metabolic flux ratios with three examples. These principles are also implemented in the publicly available software FiatFlux, which directly calculates flux ratios from the mass spectra of amino acids.

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Year:  2007        PMID: 17035687     DOI: 10.1007/978-1-59745-244-1_11

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  70 in total

1.  13C-tracer and gas chromatography-mass spectrometry analyses reveal metabolic flux distribution in the oleaginous microalga Chlorella protothecoides.

Authors:  Wei Xiong; Lixia Liu; Chao Wu; Chen Yang; Qingyu Wu
Journal:  Plant Physiol       Date:  2010-08-18       Impact factor: 8.340

2.  (13)C-based metabolic flux analysis.

Authors:  Nicola Zamboni; Sarah-Maria Fendt; Martin Rühl; Uwe Sauer
Journal:  Nat Protoc       Date:  2009-05-21       Impact factor: 13.491

3.  The metabolic origins of mannose in glycoproteins.

Authors:  Mie Ichikawa; David A Scott; Marie-Estelle Losfeld; Hudson H Freeze
Journal:  J Biol Chem       Date:  2014-01-09       Impact factor: 5.157

4.  Multiple propionyl coenzyme A-supplying pathways for production of the bioplastic poly(3-hydroxybutyrate-co-3-hydroxyvalerate) in Haloferax mediterranei.

Authors:  Jing Han; Jing Hou; Fan Zhang; Guomin Ai; Ming Li; Shuangfeng Cai; Hailong Liu; Lei Wang; Zejian Wang; Siliang Zhang; Lei Cai; Dahe Zhao; Jian Zhou; Hua Xiang
Journal:  Appl Environ Microbiol       Date:  2013-02-22       Impact factor: 4.792

5.  2H/1H variation in microbial lipids is controlled by NADPH metabolism.

Authors:  Reto S Wijker; Alex L Sessions; Tobias Fuhrer; Michelle Phan
Journal:  Proc Natl Acad Sci U S A       Date:  2019-05-31       Impact factor: 11.205

6.  Phosphomannose isomerase inhibitors improve N-glycosylation in selected phosphomannomutase-deficient fibroblasts.

Authors:  Vandana Sharma; Mie Ichikawa; Ping He; David A Scott; Yalda Bravo; Russell Dahl; Bobby G Ng; Nicholas D P Cosford; Hudson H Freeze
Journal:  J Biol Chem       Date:  2011-09-26       Impact factor: 5.157

7.  A Combined Metabolomics and Fluxomics Analysis Identifies Steps Limiting Oil Synthesis in Maize Embryos.

Authors:  Jean-Christophe Cocuron; Mohamed Koubaa; Rebecca Kimmelfield; Zacchary Ross; Ana Paula Alonso
Journal:  Plant Physiol       Date:  2019-09-17       Impact factor: 8.340

8.  Network identification and flux quantification of glucose metabolism in Rhodobacter sphaeroides under photoheterotrophic H(2)-producing conditions.

Authors:  Yongzhen Tao; Deng Liu; Xing Yan; Zhihua Zhou; Jeong K Lee; Chen Yang
Journal:  J Bacteriol       Date:  2011-11-04       Impact factor: 3.490

9.  Intracellular pathways for lignin catabolism in white-rot fungi.

Authors:  Carlos Del Cerro; Erika Erickson; Tao Dong; Allison R Wong; Elizabeth K Eder; Samuel O Purvine; Hugh D Mitchell; Karl K Weitz; Lye Meng Markillie; Meagan C Burnet; David W Hoyt; Rosalie K Chu; Jan-Fang Cheng; Kelsey J Ramirez; Rui Katahira; Wei Xiong; Michael E Himmel; Venkataramanan Subramanian; Jeffrey G Linger; Davinia Salvachúa
Journal:  Proc Natl Acad Sci U S A       Date:  2021-03-02       Impact factor: 11.205

10.  Convergent peripheral pathways catalyze initial glucose catabolism in Pseudomonas putida: genomic and flux analysis.

Authors:  Teresa del Castillo; Juan L Ramos; José J Rodríguez-Herva; Tobias Fuhrer; Uwe Sauer; Estrella Duque
Journal:  J Bacteriol       Date:  2007-05-04       Impact factor: 3.490

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