Literature DB >> 17898166

The fluxes through glycolytic enzymes in Saccharomyces cerevisiae are predominantly regulated at posttranscriptional levels.

Pascale Daran-Lapujade1, Sergio Rossell, Walter M van Gulik, Marijke A H Luttik, Marco J L de Groot, Monique Slijper, Albert J R Heck, Jean-Marc Daran, Johannes H de Winde, Hans V Westerhoff, Jack T Pronk, Barbara M Bakker.   

Abstract

Metabolic fluxes may be regulated "hierarchically," e.g., by changes of gene expression that adjust enzyme capacities (V(max)) and/or "metabolically" by interactions of enzymes with substrates, products, or allosteric effectors. In the present study, a method is developed to dissect the hierarchical regulation into contributions by transcription, translation, protein degradation, and posttranslational modification. The method was applied to the regulation of fluxes through individual glycolytic enzymes when the yeast Saccharomyces cerevisiae was confronted with the absence of oxygen and the presence of benzoic acid depleting its ATP. Metabolic regulation largely contributed to the approximately 10-fold change in flux through the glycolytic enzymes. This contribution varied from 50 to 80%, depending on the glycolytic step and the cultivation condition tested. Within the 50-20% hierarchical regulation of fluxes, transcription played a minor role, whereas regulation of protein synthesis or degradation was the most important. These also contributed to 75-100% of the regulation of protein levels.

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Year:  2007        PMID: 17898166      PMCID: PMC2000426          DOI: 10.1073/pnas.0707476104

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  27 in total

1.  Transcriptome meets metabolome: hierarchical and metabolic regulation of the glycolytic pathway.

Authors:  B H ter Kuile; H V Westerhoff
Journal:  FEBS Lett       Date:  2001-07-06       Impact factor: 4.124

2.  Integration of the information from gene expression and metabolic fluxes for the analysis of the regulatory mechanisms in Synechocystis.

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Journal:  Appl Microbiol Biotechnol       Date:  2002-03-15       Impact factor: 4.813

3.  Genome-wide analysis of mRNA translation profiles in Saccharomyces cerevisiae.

Authors:  Yoav Arava; Yulei Wang; John D Storey; Chih Long Liu; Patrick O Brown; Daniel Herschlag
Journal:  Proc Natl Acad Sci U S A       Date:  2003-03-26       Impact factor: 11.205

4.  Dynamics of protein turnover, a missing dimension in proteomics.

Authors:  Julie M Pratt; June Petty; Isabel Riba-Garcia; Duncan H L Robertson; Simon J Gaskell; Stephen G Oliver; Robert J Beynon
Journal:  Mol Cell Proteomics       Date:  2002-08       Impact factor: 5.911

5.  Characterization of differently processed forms of enolase 2 from Saccharomyces cerevisiae by two-dimensional gel electrophoresis and mass spectrometry.

Authors:  M R Larsen; P M Larsen; S J Fey; P Roepstorff
Journal:  Electrophoresis       Date:  2001-02       Impact factor: 3.535

6.  Simultaneous overexpression of enzymes of the lower part of glycolysis can enhance the fermentative capacity of Saccharomyces cerevisiae.

Authors:  H Peter Smits; J Hauf; S Müller; T J Hobley; F K Zimmermann; B Hahn-Hägerdal; J Nielsen; L Olsson
Journal:  Yeast       Date:  2000-10       Impact factor: 3.239

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Authors:  Timothy F Rayner; Joseph V Gray; Jeremy W Thorner
Journal:  J Biol Chem       Date:  2002-03-04       Impact factor: 5.157

8.  Physical evidence for distinct mechanisms of translational control by upstream open reading frames.

Authors:  A Gaba; Z Wang; T Krishnamoorthy; A G Hinnebusch; M S Sachs
Journal:  EMBO J       Date:  2001-11-15       Impact factor: 11.598

9.  Reproducibility of oligonucleotide microarray transcriptome analyses. An interlaboratory comparison using chemostat cultures of Saccharomyces cerevisiae.

Authors:  Matthew D W Piper; Pascale Daran-Lapujade; Christoffer Bro; Birgitte Regenberg; Steen Knudsen; Jens Nielsen; Jack T Pronk
Journal:  J Biol Chem       Date:  2002-07-16       Impact factor: 5.157

10.  Complementary profiling of gene expression at the transcriptome and proteome levels in Saccharomyces cerevisiae.

Authors:  Timothy J Griffin; Steven P Gygi; Trey Ideker; Beate Rist; Jimmy Eng; Leroy Hood; Ruedi Aebersold
Journal:  Mol Cell Proteomics       Date:  2002-04       Impact factor: 5.911

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  104 in total

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Journal:  Plant Physiol       Date:  2012-01-17       Impact factor: 8.340

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Journal:  Plant Cell       Date:  2010-08-10       Impact factor: 11.277

3.  Homeostasis and the glycogen shunt explains aerobic ethanol production in yeast.

Authors:  Robert G Shulman; Douglas L Rothman
Journal:  Proc Natl Acad Sci U S A       Date:  2015-08-17       Impact factor: 11.205

4.  Global gene expression analysis of Aspergillus nidulans reveals metabolic shift and transcription suppression under hypoxia.

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Authors:  Enrique Melendez-Hevia; Patricia De Paz-Lugo
Journal:  J Biosci       Date:  2008-12       Impact factor: 1.826

6.  Metabolic reconfiguration precedes transcriptional regulation in the antioxidant response.

Authors:  Markus Ralser; Mirjam M C Wamelink; Simone Latkolik; Erwin E W Jansen; Hans Lehrach; Cornelis Jakobs
Journal:  Nat Biotechnol       Date:  2009-07       Impact factor: 54.908

7.  Quantitative proteomics by metabolic labeling of model organisms.

Authors:  Joost W Gouw; Jeroen Krijgsveld; Albert J R Heck
Journal:  Mol Cell Proteomics       Date:  2009-11-19       Impact factor: 5.911

8.  The functional structure of central carbon metabolism in Pseudomonas putida KT2440.

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Journal:  Appl Environ Microbiol       Date:  2014-06-20       Impact factor: 4.792

9.  Activity motifs reveal principles of timing in transcriptional control of the yeast metabolic network.

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Journal:  Nat Biotechnol       Date:  2008-11       Impact factor: 54.908

10.  Growth landscape formed by perception and import of glucose in yeast.

Authors:  Hyun Youk; Alexander van Oudenaarden
Journal:  Nature       Date:  2009-12-17       Impact factor: 49.962

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