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Compartmentation of glycogen metabolism revealed from (13)C isotopologue distributions
BACKGROUND: Stable isotope tracers are used to assess metabolic flux profiles in living cells. The existing methods of measurement average out the isotopic isomer distribution in metabolites throughout the cell, whereas the knowledge of compartmental organization of analyzed pathways is crucial for...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3292525/ https://www.ncbi.nlm.nih.gov/pubmed/22034837 http://dx.doi.org/10.1186/1752-0509-5-175 |
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author | Marin de Mas, Igor Selivanov, Vitaly A Marin, Silvia Roca, Josep Orešič, Matej Agius, Loranne Cascante, Marta |
author_facet | Marin de Mas, Igor Selivanov, Vitaly A Marin, Silvia Roca, Josep Orešič, Matej Agius, Loranne Cascante, Marta |
author_sort | Marin de Mas, Igor |
collection | PubMed |
description | BACKGROUND: Stable isotope tracers are used to assess metabolic flux profiles in living cells. The existing methods of measurement average out the isotopic isomer distribution in metabolites throughout the cell, whereas the knowledge of compartmental organization of analyzed pathways is crucial for the evaluation of true fluxes. That is why we accepted a challenge to create a software tool that allows deciphering the compartmentation of metabolites based on the analysis of average isotopic isomer distribution. RESULTS: The software Isodyn, which simulates the dynamics of isotopic isomer distribution in central metabolic pathways, was supplemented by algorithms facilitating the transition between various analyzed metabolic schemes, and by the tools for model discrimination. It simulated (13)C isotope distributions in glucose, lactate, glutamate and glycogen, measured by mass spectrometry after incubation of hepatocytes in the presence of only labeled glucose or glucose and lactate together (with label either in glucose or lactate). The simulations assumed either a single intracellular hexose phosphate pool, or also channeling of hexose phosphates resulting in a different isotopic composition of glycogen. Model discrimination test was applied to check the consistency of both models with experimental data. Metabolic flux profiles, evaluated with the accepted model that assumes channeling, revealed the range of changes in metabolic fluxes in liver cells. CONCLUSIONS: The analysis of compartmentation of metabolic networks based on the measured (13)C distribution was included in Isodyn as a routine procedure. The advantage of this implementation is that, being a part of evaluation of metabolic fluxes, it does not require additional experiments to study metabolic compartmentation. The analysis of experimental data revealed that the distribution of measured (13)C-labeled glucose metabolites is inconsistent with the idea of perfect mixing of hexose phosphates in cytosol. In contrast, the observed distribution indicates the presence of a separate pool of hexose phosphates that is channeled towards glycogen synthesis. |
format | Online Article Text |
id | pubmed-3292525 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-32925252012-03-05 Compartmentation of glycogen metabolism revealed from (13)C isotopologue distributions Marin de Mas, Igor Selivanov, Vitaly A Marin, Silvia Roca, Josep Orešič, Matej Agius, Loranne Cascante, Marta BMC Syst Biol Methodology Article BACKGROUND: Stable isotope tracers are used to assess metabolic flux profiles in living cells. The existing methods of measurement average out the isotopic isomer distribution in metabolites throughout the cell, whereas the knowledge of compartmental organization of analyzed pathways is crucial for the evaluation of true fluxes. That is why we accepted a challenge to create a software tool that allows deciphering the compartmentation of metabolites based on the analysis of average isotopic isomer distribution. RESULTS: The software Isodyn, which simulates the dynamics of isotopic isomer distribution in central metabolic pathways, was supplemented by algorithms facilitating the transition between various analyzed metabolic schemes, and by the tools for model discrimination. It simulated (13)C isotope distributions in glucose, lactate, glutamate and glycogen, measured by mass spectrometry after incubation of hepatocytes in the presence of only labeled glucose or glucose and lactate together (with label either in glucose or lactate). The simulations assumed either a single intracellular hexose phosphate pool, or also channeling of hexose phosphates resulting in a different isotopic composition of glycogen. Model discrimination test was applied to check the consistency of both models with experimental data. Metabolic flux profiles, evaluated with the accepted model that assumes channeling, revealed the range of changes in metabolic fluxes in liver cells. CONCLUSIONS: The analysis of compartmentation of metabolic networks based on the measured (13)C distribution was included in Isodyn as a routine procedure. The advantage of this implementation is that, being a part of evaluation of metabolic fluxes, it does not require additional experiments to study metabolic compartmentation. The analysis of experimental data revealed that the distribution of measured (13)C-labeled glucose metabolites is inconsistent with the idea of perfect mixing of hexose phosphates in cytosol. In contrast, the observed distribution indicates the presence of a separate pool of hexose phosphates that is channeled towards glycogen synthesis. BioMed Central 2011-10-28 /pmc/articles/PMC3292525/ /pubmed/22034837 http://dx.doi.org/10.1186/1752-0509-5-175 Text en Copyright ©2011 de Mas et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Methodology Article Marin de Mas, Igor Selivanov, Vitaly A Marin, Silvia Roca, Josep Orešič, Matej Agius, Loranne Cascante, Marta Compartmentation of glycogen metabolism revealed from (13)C isotopologue distributions |
title | Compartmentation of glycogen metabolism revealed from (13)C isotopologue distributions |
title_full | Compartmentation of glycogen metabolism revealed from (13)C isotopologue distributions |
title_fullStr | Compartmentation of glycogen metabolism revealed from (13)C isotopologue distributions |
title_full_unstemmed | Compartmentation of glycogen metabolism revealed from (13)C isotopologue distributions |
title_short | Compartmentation of glycogen metabolism revealed from (13)C isotopologue distributions |
title_sort | compartmentation of glycogen metabolism revealed from (13)c isotopologue distributions |
topic | Methodology Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3292525/ https://www.ncbi.nlm.nih.gov/pubmed/22034837 http://dx.doi.org/10.1186/1752-0509-5-175 |
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