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OpenMebius: An Open Source Software for Isotopically Nonstationary (13)C-Based Metabolic Flux Analysis

The in vivo measurement of metabolic flux by (13)C-based metabolic flux analysis ((13)C-MFA) provides valuable information regarding cell physiology. Bioinformatics tools have been developed to estimate metabolic flux distributions from the results of tracer isotopic labeling experiments using a (13...

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Autores principales: Kajihata, Shuichi, Furusawa, Chikara, Matsuda, Fumio, Shimizu, Hiroshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4071984/
https://www.ncbi.nlm.nih.gov/pubmed/25006579
http://dx.doi.org/10.1155/2014/627014
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author Kajihata, Shuichi
Furusawa, Chikara
Matsuda, Fumio
Shimizu, Hiroshi
author_facet Kajihata, Shuichi
Furusawa, Chikara
Matsuda, Fumio
Shimizu, Hiroshi
author_sort Kajihata, Shuichi
collection PubMed
description The in vivo measurement of metabolic flux by (13)C-based metabolic flux analysis ((13)C-MFA) provides valuable information regarding cell physiology. Bioinformatics tools have been developed to estimate metabolic flux distributions from the results of tracer isotopic labeling experiments using a (13)C-labeled carbon source. Metabolic flux is determined by nonlinear fitting of a metabolic model to the isotopic labeling enrichment of intracellular metabolites measured by mass spectrometry. Whereas (13)C-MFA is conventionally performed under isotopically constant conditions, isotopically nonstationary (13)C metabolic flux analysis (INST-(13)C-MFA) has recently been developed for flux analysis of cells with photosynthetic activity and cells at a quasi-steady metabolic state (e.g., primary cells or microorganisms under stationary phase). Here, the development of a novel open source software for INST-(13)C-MFA on the Windows platform is reported. OpenMebius (Open source software for Metabolic flux analysis) provides the function of autogenerating metabolic models for simulating isotopic labeling enrichment from a user-defined configuration worksheet. Analysis using simulated data demonstrated the applicability of OpenMebius for INST-(13)C-MFA. Confidence intervals determined by INST-(13)C-MFA were less than those determined by conventional methods, indicating the potential of INST-(13)C-MFA for precise metabolic flux analysis. OpenMebius is the open source software for the general application of INST-(13)C-MFA.
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spelling pubmed-40719842014-07-08 OpenMebius: An Open Source Software for Isotopically Nonstationary (13)C-Based Metabolic Flux Analysis Kajihata, Shuichi Furusawa, Chikara Matsuda, Fumio Shimizu, Hiroshi Biomed Res Int Research Article The in vivo measurement of metabolic flux by (13)C-based metabolic flux analysis ((13)C-MFA) provides valuable information regarding cell physiology. Bioinformatics tools have been developed to estimate metabolic flux distributions from the results of tracer isotopic labeling experiments using a (13)C-labeled carbon source. Metabolic flux is determined by nonlinear fitting of a metabolic model to the isotopic labeling enrichment of intracellular metabolites measured by mass spectrometry. Whereas (13)C-MFA is conventionally performed under isotopically constant conditions, isotopically nonstationary (13)C metabolic flux analysis (INST-(13)C-MFA) has recently been developed for flux analysis of cells with photosynthetic activity and cells at a quasi-steady metabolic state (e.g., primary cells or microorganisms under stationary phase). Here, the development of a novel open source software for INST-(13)C-MFA on the Windows platform is reported. OpenMebius (Open source software for Metabolic flux analysis) provides the function of autogenerating metabolic models for simulating isotopic labeling enrichment from a user-defined configuration worksheet. Analysis using simulated data demonstrated the applicability of OpenMebius for INST-(13)C-MFA. Confidence intervals determined by INST-(13)C-MFA were less than those determined by conventional methods, indicating the potential of INST-(13)C-MFA for precise metabolic flux analysis. OpenMebius is the open source software for the general application of INST-(13)C-MFA. Hindawi Publishing Corporation 2014 2014-06-11 /pmc/articles/PMC4071984/ /pubmed/25006579 http://dx.doi.org/10.1155/2014/627014 Text en Copyright © 2014 Shuichi Kajihata et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Kajihata, Shuichi
Furusawa, Chikara
Matsuda, Fumio
Shimizu, Hiroshi
OpenMebius: An Open Source Software for Isotopically Nonstationary (13)C-Based Metabolic Flux Analysis
title OpenMebius: An Open Source Software for Isotopically Nonstationary (13)C-Based Metabolic Flux Analysis
title_full OpenMebius: An Open Source Software for Isotopically Nonstationary (13)C-Based Metabolic Flux Analysis
title_fullStr OpenMebius: An Open Source Software for Isotopically Nonstationary (13)C-Based Metabolic Flux Analysis
title_full_unstemmed OpenMebius: An Open Source Software for Isotopically Nonstationary (13)C-Based Metabolic Flux Analysis
title_short OpenMebius: An Open Source Software for Isotopically Nonstationary (13)C-Based Metabolic Flux Analysis
title_sort openmebius: an open source software for isotopically nonstationary (13)c-based metabolic flux analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4071984/
https://www.ncbi.nlm.nih.gov/pubmed/25006579
http://dx.doi.org/10.1155/2014/627014
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