Literature DB >> 23417810

13C-based metabolic flux analysis: fundamentals and practice.

Tae Hoon Yang1.   

Abstract

Isotope-based metabolic flux analysis is one of the emerging technologies applied to system level metabolic phenotype characterization in metabolic engineering. Among the developed approaches, (13)C-based metabolic flux analysis has been established as a standard tool and has been widely applied to quantitative pathway characterization of diverse biological systems. To implement (13)C-based metabolic flux analysis in practice, comprehending the underlying mathematical and computational modeling fundamentals is of importance along with carefully conducted experiments and analytical measurements. Such knowledge is also crucial when designing (13)C-labeling experiments and properly acquiring key data sets essential for in vivo flux analysis implementation. In this regard, the modeling fundamentals of (13)C-labeling systems and analytical data processing are the main topics we will deal with in this chapter. Along with this, the relevant numerical optimization techniques are addressed to help implementation of the entire computational procedures aiming at (13)C-based metabolic flux analysis in vivo.

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Year:  2013        PMID: 23417810     DOI: 10.1007/978-1-62703-299-5_15

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


  5 in total

Review 1.  Homeostasis of redox status derived from glucose metabolic pathway could be the key to understanding the Warburg effect.

Authors:  Shiwu Zhang; Chuanwei Yang; Zhenduo Yang; Dan Zhang; Xiaoping Ma; Gordon Mills; Zesheng Liu
Journal:  Am J Cancer Res       Date:  2015-02-15       Impact factor: 6.166

Review 2.  Homeostasis of redox status derived from glucose metabolic pathway could be the key to understanding the Warburg effect.

Authors:  Shiwu Zhang; Chuanwei Yang; Zhenduo Yang; Dan Zhang; Xiaoping Ma; Gordon Mills; Zesheng Liu
Journal:  Am J Cancer Res       Date:  2015-03-15       Impact factor: 6.166

3.  Analysis of Melanoma Cell Glutamine Metabolism by Stable Isotope Tracing and Gas Chromatography-Mass Spectrometry.

Authors:  David A Scott
Journal:  Methods Mol Biol       Date:  2021

4.  OpenFLUX2: (13)C-MFA modeling software package adjusted for the comprehensive analysis of single and parallel labeling experiments.

Authors:  Mikhail S Shupletsov; Lyubov I Golubeva; Svetlana S Rubina; Dmitry A Podvyaznikov; Shintaro Iwatani; Sergey V Mashko
Journal:  Microb Cell Fact       Date:  2014-11-19       Impact factor: 5.328

5.  Prediction of reaction knockouts to maximize succinate production by Actinobacillus succinogenes.

Authors:  Ambarish Nag; Peter C St John; Michael F Crowley; Yannick J Bomble
Journal:  PLoS One       Date:  2018-01-30       Impact factor: 3.240

  5 in total

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