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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...

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Autores principales: Fendt, Sarah-Maria, Oliveira, Ana Paula, Christen, Stefan, Picotti, Paola, Dechant, Reinhard Christoph, Sauer, Uwe
Formato: Texto
Lenguaje:English
Publicado: European Molecular Biology Organization 2010
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.
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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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