Literature DB >> 22069095

Evaluating (13)C enrichment data of free amino acids for precise metabolic flux analysis.

Eiji Mori1, Chikara Furusawa, Shuichi Kajihata, Tomokazu Shirai, Hiroshi Shimizu.   

Abstract

Metabolic flux analysis using (13)C enrichment data of intracellular free amino acids (FAAs) can improve the time resolution of flux estimation compared to analysis of proteinogenic amino acid data owing to the faster turnover times of FAAs. The nature of the (13)C enrichment dynamics of FAAs remains obscure, however, especially with regard to its dependence on culture conditions, even though an understanding of dynamic behavior is important for precise metabolic flux estimation. In this study, we analyzed the (13)C enrichment dynamics of free and proteinogenic amino acids in a series of continuous culture experiments with Escherichia coli. The results indicated that the effect of protein degradation on the (13)C enrichment of FAAs was negligible under cellular growth conditions. Furthermore, they showed that the time scale necessary for (13)C enrichment dynamics of FAAs to reach a steady state depends on culture conditions such as oxygen uptake rate, which was likely due to different pool sizes of intracellular metabolites. The results demonstrate the importance of analyzing (13)C enrichment dynamics for the precise estimation of metabolic fluxes using FAA data.
Copyright © 2011 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

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Year:  2011        PMID: 22069095     DOI: 10.1002/biot.201000446

Source DB:  PubMed          Journal:  Biotechnol J        ISSN: 1860-6768            Impact factor:   4.677


  12 in total

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Journal:  Nat Commun       Date:  2014-12-17       Impact factor: 14.919

2.  A Method to Constrain Genome-Scale Models with 13C Labeling Data.

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Journal:  PLoS Comput Biol       Date:  2015-09-17       Impact factor: 4.475

3.  Investigating the effects of perturbations to pgi and eno gene expression on central carbon metabolism in Escherichia coli using (13)C metabolic flux analysis.

Authors:  Yuki Usui; Takashi Hirasawa; Chikara Furusawa; Tomokazu Shirai; Natsuko Yamamoto; Hirotada Mori; Hiroshi Shimizu
Journal:  Microb Cell Fact       Date:  2012-06-21       Impact factor: 5.328

4.  Reliable Metabolic Flux Estimation in Escherichia coli Central Carbon Metabolism Using Intracellular Free Amino Acids.

Authors:  Nobuyuki Okahashi; Shuichi Kajihata; Chikara Furusawa; Hiroshi Shimizu
Journal:  Metabolites       Date:  2014-05-30

5.  13C based proteinogenic amino acid (PAA) and metabolic flux ratio analysis of Lactococcus lactis reveals changes in pentose phosphate (PP) pathway in response to agitation and temperature related stresses.

Authors:  Kamalrul Azlan Azizan; Habtom W Ressom; Eduardo R Mendoza; Syarul Nataqain Baharum
Journal:  PeerJ       Date:  2017-07-05       Impact factor: 2.984

6.  Acceleration and suppression of resistance development by antibiotic combinations.

Authors:  Shingo Suzuki; Takaaki Horinouchi; Chikara Furusawa
Journal:  BMC Genomics       Date:  2017-04-26       Impact factor: 3.969

7.  13C-metabolic flux analysis of ethanol-assimilating Saccharomyces cerevisiae for S-adenosyl-L-methionine production.

Authors:  Kenshi Hayakawa; Fumio Matsuda; Hiroshi Shimizu
Journal:  Microb Cell Fact       Date:  2018-05-31       Impact factor: 5.328

8.  OpenMebius: an open source software for isotopically nonstationary 13C-based metabolic flux analysis.

Authors:  Shuichi Kajihata; Chikara Furusawa; Fumio Matsuda; Hiroshi Shimizu
Journal:  Biomed Res Int       Date:  2014-06-11       Impact factor: 3.411

9.  Prediction of Cross-resistance and Collateral Sensitivity by Gene Expression profiles and Genomic Mutations.

Authors:  Takaaki Horinouchi; Shingo Suzuki; Hazuki Kotani; Kumi Tanabe; Natsue Sakata; Hiroshi Shimizu; Chikara Furusawa
Journal:  Sci Rep       Date:  2017-10-25       Impact factor: 4.379

10.  Raman spectral signature reflects transcriptomic features of antibiotic resistance in Escherichia coli.

Authors:  Arno Germond; Taro Ichimura; Takaaki Horinouchi; Hideaki Fujita; Chikara Furusawa; Tomonobu M Watanabe
Journal:  Commun Biol       Date:  2018-07-02
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