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Unraveling condition-dependent networks of transcription factors that control metabolic pathway activity in yeast
Which transcription factors control the distribution of metabolic fluxes under a given condition? We address this question by systematically quantifying metabolic fluxes in 119 transcription factor deletion mutants of Saccharomyces cerevisiae under five growth conditions. While most knockouts did no...
Autores principales: | , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
European Molecular Biology Organization
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3010106/ https://www.ncbi.nlm.nih.gov/pubmed/21119627 http://dx.doi.org/10.1038/msb.2010.91 |
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author | Fendt, Sarah-Maria Oliveira, Ana Paula Christen, Stefan Picotti, Paola Dechant, Reinhard Christoph Sauer, Uwe |
author_facet | Fendt, Sarah-Maria Oliveira, Ana Paula Christen, Stefan Picotti, Paola Dechant, Reinhard Christoph Sauer, Uwe |
author_sort | Fendt, Sarah-Maria |
collection | PubMed |
description | Which transcription factors control the distribution of metabolic fluxes under a given condition? We address this question by systematically quantifying metabolic fluxes in 119 transcription factor deletion mutants of Saccharomyces cerevisiae under five growth conditions. While most knockouts did not affect fluxes, we identified 42 condition-dependent interactions that were mediated by a total of 23 transcription factors that control almost exclusively the cellular decision between respiration and fermentation. This relatively sparse, condition-specific network of active metabolic control contrasts with the much larger gene regulation network inferred from expression and DNA binding data. Based on protein and transcript analyses in key mutants, we identified three enzymes in the tricarboxylic acid cycle as the key targets of this transcriptional control. For the transcription factor Gcn4, we demonstrate that this control is mediated through the PKA and Snf1 signaling cascade. The discrepancy between flux response predictions, based on the known regulatory network architecture and our functional (13)C-data, demonstrates the importance of identifying and quantifying the extent to which regulatory effectors alter cellular functions. |
format | Text |
id | pubmed-3010106 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | European Molecular Biology Organization |
record_format | MEDLINE/PubMed |
spelling | pubmed-30101062010-12-27 Unraveling condition-dependent networks of transcription factors that control metabolic pathway activity in yeast Fendt, Sarah-Maria Oliveira, Ana Paula Christen, Stefan Picotti, Paola Dechant, Reinhard Christoph Sauer, Uwe Mol Syst Biol Article Which transcription factors control the distribution of metabolic fluxes under a given condition? We address this question by systematically quantifying metabolic fluxes in 119 transcription factor deletion mutants of Saccharomyces cerevisiae under five growth conditions. While most knockouts did not affect fluxes, we identified 42 condition-dependent interactions that were mediated by a total of 23 transcription factors that control almost exclusively the cellular decision between respiration and fermentation. This relatively sparse, condition-specific network of active metabolic control contrasts with the much larger gene regulation network inferred from expression and DNA binding data. Based on protein and transcript analyses in key mutants, we identified three enzymes in the tricarboxylic acid cycle as the key targets of this transcriptional control. For the transcription factor Gcn4, we demonstrate that this control is mediated through the PKA and Snf1 signaling cascade. The discrepancy between flux response predictions, based on the known regulatory network architecture and our functional (13)C-data, demonstrates the importance of identifying and quantifying the extent to which regulatory effectors alter cellular functions. European Molecular Biology Organization 2010-11-30 /pmc/articles/PMC3010106/ /pubmed/21119627 http://dx.doi.org/10.1038/msb.2010.91 Text en Copyright © 2010, EMBO and Macmillan Publishers Limited https://creativecommons.org/licenses/by-nc-sa/3.0/This is an open-access article distributed under the terms of the Creative Commons Attribution Noncommercial Share Alike 3.0 Unported License, which allows readers to alter, transform, or build upon the article and then distribute the resulting work under the same or similar license to this one. The work must be attributed back to the original author and commercial use is not permitted without specific permission. |
spellingShingle | Article Fendt, Sarah-Maria Oliveira, Ana Paula Christen, Stefan Picotti, Paola Dechant, Reinhard Christoph Sauer, Uwe Unraveling condition-dependent networks of transcription factors that control metabolic pathway activity in yeast |
title | Unraveling condition-dependent networks of transcription factors that control metabolic pathway activity in yeast |
title_full | Unraveling condition-dependent networks of transcription factors that control metabolic pathway activity in yeast |
title_fullStr | Unraveling condition-dependent networks of transcription factors that control metabolic pathway activity in yeast |
title_full_unstemmed | Unraveling condition-dependent networks of transcription factors that control metabolic pathway activity in yeast |
title_short | Unraveling condition-dependent networks of transcription factors that control metabolic pathway activity in yeast |
title_sort | unraveling condition-dependent networks of transcription factors that control metabolic pathway activity in yeast |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3010106/ https://www.ncbi.nlm.nih.gov/pubmed/21119627 http://dx.doi.org/10.1038/msb.2010.91 |
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