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Mathematical Modeling and Validation of the Ergosterol Pathway in Saccharomyces cerevisiae
The de novo biosynthetic machinery for both sphingolipid and ergosterol production in yeast is localized in the endoplasmic reticulum (ER) and Golgi. The interconnections between the two pathways are still poorly understood, but they may be connected in specialized membrane domains, and specific kno...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3237449/ https://www.ncbi.nlm.nih.gov/pubmed/22194828 http://dx.doi.org/10.1371/journal.pone.0028344 |
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author | Alvarez-Vasquez, Fernando Riezman, Howard Hannun, Yusuf A. Voit, Eberhard O. |
author_facet | Alvarez-Vasquez, Fernando Riezman, Howard Hannun, Yusuf A. Voit, Eberhard O. |
author_sort | Alvarez-Vasquez, Fernando |
collection | PubMed |
description | The de novo biosynthetic machinery for both sphingolipid and ergosterol production in yeast is localized in the endoplasmic reticulum (ER) and Golgi. The interconnections between the two pathways are still poorly understood, but they may be connected in specialized membrane domains, and specific knockouts strongly suggest that both routes have different layers of mutual control and are co-affected by drugs. With the goal of shedding light on the functional integration of the yeast sphingolipid-ergosterol (SL-E) pathway, we constructed a dynamic model of the ergosterol pathway using the guidelines of Biochemical Systems Theory (BST) (Savageau., J. theor. Biol., 25, 365–9, 1969). The resulting model was merged with a previous mathematical model of sphingolipid metabolism in yeast (Alvarez-Vasquez et al., J. theor. Biol., 226, 265–91, 2004; Alvarez-Vasquez et al., Nature 433, 425–30, 2005). The S-system format within BST was used for analyses of consistency, stability, and sensitivity of the SL-E model, while the GMA format was used for dynamic simulations and predictions. Model validation was accomplished by comparing predictions from the model with published results on sterol and sterol-ester dynamics in yeast. The validated model was used to predict the metabolomic dynamics of the SL-E pathway after drug treatment. Specifically, we simulated the action of drugs affecting sphingolipids in the endoplasmic reticulum and studied changes in ergosterol associated with microdomains of the plasma membrane (PM). |
format | Online Article Text |
id | pubmed-3237449 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-32374492011-12-22 Mathematical Modeling and Validation of the Ergosterol Pathway in Saccharomyces cerevisiae Alvarez-Vasquez, Fernando Riezman, Howard Hannun, Yusuf A. Voit, Eberhard O. PLoS One Research Article The de novo biosynthetic machinery for both sphingolipid and ergosterol production in yeast is localized in the endoplasmic reticulum (ER) and Golgi. The interconnections between the two pathways are still poorly understood, but they may be connected in specialized membrane domains, and specific knockouts strongly suggest that both routes have different layers of mutual control and are co-affected by drugs. With the goal of shedding light on the functional integration of the yeast sphingolipid-ergosterol (SL-E) pathway, we constructed a dynamic model of the ergosterol pathway using the guidelines of Biochemical Systems Theory (BST) (Savageau., J. theor. Biol., 25, 365–9, 1969). The resulting model was merged with a previous mathematical model of sphingolipid metabolism in yeast (Alvarez-Vasquez et al., J. theor. Biol., 226, 265–91, 2004; Alvarez-Vasquez et al., Nature 433, 425–30, 2005). The S-system format within BST was used for analyses of consistency, stability, and sensitivity of the SL-E model, while the GMA format was used for dynamic simulations and predictions. Model validation was accomplished by comparing predictions from the model with published results on sterol and sterol-ester dynamics in yeast. The validated model was used to predict the metabolomic dynamics of the SL-E pathway after drug treatment. Specifically, we simulated the action of drugs affecting sphingolipids in the endoplasmic reticulum and studied changes in ergosterol associated with microdomains of the plasma membrane (PM). Public Library of Science 2011-12-14 /pmc/articles/PMC3237449/ /pubmed/22194828 http://dx.doi.org/10.1371/journal.pone.0028344 Text en This is an open-access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication. https://creativecommons.org/publicdomain/zero/1.0/ This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration, which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. |
spellingShingle | Research Article Alvarez-Vasquez, Fernando Riezman, Howard Hannun, Yusuf A. Voit, Eberhard O. Mathematical Modeling and Validation of the Ergosterol Pathway in Saccharomyces cerevisiae |
title | Mathematical Modeling and Validation of the Ergosterol Pathway in Saccharomyces cerevisiae
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title_full | Mathematical Modeling and Validation of the Ergosterol Pathway in Saccharomyces cerevisiae
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title_fullStr | Mathematical Modeling and Validation of the Ergosterol Pathway in Saccharomyces cerevisiae
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title_full_unstemmed | Mathematical Modeling and Validation of the Ergosterol Pathway in Saccharomyces cerevisiae
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title_short | Mathematical Modeling and Validation of the Ergosterol Pathway in Saccharomyces cerevisiae
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title_sort | mathematical modeling and validation of the ergosterol pathway in saccharomyces cerevisiae |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3237449/ https://www.ncbi.nlm.nih.gov/pubmed/22194828 http://dx.doi.org/10.1371/journal.pone.0028344 |
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