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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
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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. |
format | Online Article Text |
id | pubmed-4071984 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
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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