Literature DB >> 28303165

Modeling framework for isotopic labeling of heteronuclear moieties.

Mark I Borkum1, Patrick N Reardon1, Ronald C Taylor2, Nancy G Isern1.   

Abstract

BACKGROUND: Isotopic labeling is an analytic technique that is used to track the movement of isotopes through reaction networks. In general, the applicability of isotopic labeling techniques is limited to the investigation of reaction networks that consider homonuclear moieties, whose atoms are of one tracer element with two isotopes, distinguished by the presence of one additional neutron.
RESULTS: This article presents a reformulation of the modeling framework for isotopic labeling, generalized to arbitrarily large, heteronuclear moieties, arbitrary numbers of isotopic tracer elements, and arbitrary numbers of isotopes per element, distinguished by arbitrary numbers of additional neutrons.
CONCLUSIONS: With this work, it is now possible to simulate the isotopic labeling states of metabolites in completely arbitrary biochemical reaction networks.

Entities:  

Keywords:  Cumomers; Elementary metabolite units; Isotopic labeling; Isotopomers; Metabolic engineering

Year:  2017        PMID: 28303165      PMCID: PMC5337233          DOI: 10.1186/s13321-017-0201-7

Source DB:  PubMed          Journal:  J Cheminform        ISSN: 1758-2946            Impact factor:   5.514


  12 in total

1.  Bidirectional reaction steps in metabolic networks: III. Explicit solution and analysis of isotopomer labeling systems.

Authors:  W Wiechert; M Möllney; N Isermann; M Wurzel; A A de Graaf
Journal:  Biotechnol Bioeng       Date:  1999       Impact factor: 4.530

2.  Elementary metabolite units (EMU): a novel framework for modeling isotopic distributions.

Authors:  Maciek R Antoniewicz; Joanne K Kelleher; Gregory Stephanopoulos
Journal:  Metab Eng       Date:  2006-09-17       Impact factor: 9.783

3.  INCA: a computational platform for isotopically non-stationary metabolic flux analysis.

Authors:  Jamey D Young
Journal:  Bioinformatics       Date:  2014-01-11       Impact factor: 6.937

4.  Optimization of 13C isotopic tracers for metabolic flux analysis in mammalian cells.

Authors:  Jason L Walther; Christian M Metallo; Jie Zhang; Gregory Stephanopoulos
Journal:  Metab Eng       Date:  2011-12-19       Impact factor: 9.783

5.  Evaluation of 13C isotopic tracers for metabolic flux analysis in mammalian cells.

Authors:  Christian M Metallo; Jason L Walther; Gregory Stephanopoulos
Journal:  J Biotechnol       Date:  2009-07-19       Impact factor: 3.307

6.  Simultaneous tracing of carbon and nitrogen isotopes in human cells.

Authors:  Roland Nilsson; Mohit Jain
Journal:  Mol Biosyst       Date:  2016-05-24

7.  Evaluation of carbon flux and substrate selection through alternate pathways involving the citric acid cycle of the heart by 13C NMR spectroscopy.

Authors:  C R Malloy; A D Sherry; F M Jeffrey
Journal:  J Biol Chem       Date:  1988-05-25       Impact factor: 5.157

8.  Fluxomers: a new approach for 13C metabolic flux analysis.

Authors:  Orr Srour; Jamey D Young; Yonina C Eldar
Journal:  BMC Syst Biol       Date:  2011-08-16

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

Authors:  Héctor García Martín; Vinay Satish Kumar; Daniel Weaver; Amit Ghosh; Victor Chubukov; Aindrila Mukhopadhyay; Adam Arkin; Jay D Keasling
Journal:  PLoS Comput Biol       Date:  2015-09-17       Impact factor: 4.475

10.  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

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  1 in total

1.  The Design of FluxML: A Universal Modeling Language for 13C Metabolic Flux Analysis.

Authors:  Martin Beyß; Salah Azzouzi; Michael Weitzel; Wolfgang Wiechert; Katharina Nöh
Journal:  Front Microbiol       Date:  2019-05-24       Impact factor: 5.640

  1 in total

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