OpenMebius: An Open Source Software for Isotopically Nonstationary 13C-Based Metabolic Flux Analysis. (11th June 2014)
- Record Type:
- Journal Article
- Title:
- OpenMebius: An Open Source Software for Isotopically Nonstationary 13C-Based Metabolic Flux Analysis. (11th June 2014)
- Main Title:
- OpenMebius: An Open Source Software for Isotopically Nonstationary 13C-Based Metabolic Flux Analysis
- Authors:
- Kajihata, Shuichi
Furusawa, Chikara
Matsuda, Fumio
Shimizu, Hiroshi - Other Names:
- Robert Martin Academic Editor.
- Abstract:
- Abstract : 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 theAbstract : 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. … (more)
- Is Part Of:
- BioMed research international. Volume 2014(2014)
- Journal:
- BioMed research international
- Issue:
- Volume 2014(2014)
- Issue Display:
- Volume 2014, Issue 2014 (2014)
- Year:
- 2014
- Volume:
- 2014
- Issue:
- 2014
- Issue Sort Value:
- 2014-2014-2014-0000
- Page Start:
- Page End:
- Publication Date:
- 2014-06-11
- Subjects:
- Medicine -- Periodicals
Biology -- Periodicals
Biotechnology -- Periodicals
Life sciences -- Periodicals
610.5 - Journal URLs:
- https://www.hindawi.com/journals/bmri/ ↗
- DOI:
- 10.1155/2014/627014 ↗
- Languages:
- English
- ISSNs:
- 2314-6133
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 17340.xml