Literature DB >> 15502163

Comparative proteome analysis of Saccharomyces cerevisiae grown in chemostat cultures limited for glucose or ethanol.

Annemieke Kolkman1, Maurien M A Olsthoorn, Carola E M Heeremans, Albert J R Heck, Monique Slijper.   

Abstract

The use of chemostat culturing enables investigation of steady-state physiological characteristics and adaptations to nutrient-limited growth, while all other relevant growth conditions are kept constant. We examined and compared the proteomic response of wild-type Saccharomyces cerevisiae CEN.PK113-7D to growth in aerobic chemostat cultures limited for carbon sources being either glucose or ethanol. To obtain a global overview of changes in the proteome, we performed triplicate analyses using two-dimensional gel electrophoresis and identified proteins of interest using MS. Relative quantities of about 400 proteins were obtained and analyzed statistically to determine which protein steady-state expression levels changed significantly under glucose- or ethanol-limited conditions. Interestingly, only enzymes involved in central carbon metabolism showed a significant change in steady-state expression, whereas expression was only detected in one of both carbon source-limiting conditions for 15 of these enzymes. Side effects that were previously reported for batch cultivation conditions, such as responses to continuous variation of specific growth rate, to carbon-catabolite repression, and to accumulation of toxic substrates, were not observed. Moreover, by comparing our proteome data with corresponding mRNA data, we were able to unravel which processes in the central carbon metabolism were regulated at the level of the proteome, and which processes at the level of transcriptome. Importantly, we show here that the combined approach of chemostat cultivation and comprehensive proteome analysis allowed us to study the primary effect of single limiting conditions on the yeast proteome.

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Year:  2004        PMID: 15502163     DOI: 10.1074/mcp.M400087-MCP200

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  23 in total

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2.  Comparative proteomic analysis of tolerance and adaptation of ethanologenic Saccharomyces cerevisiae to furfural, a lignocellulosic inhibitory compound.

Authors:  Feng-Ming Lin; Bin Qiao; Ying-Jin Yuan
Journal:  Appl Environ Microbiol       Date:  2009-04-10       Impact factor: 4.792

3.  Comparative proteome analysis of Saccharomyces cerevisiae: a global overview of in vivo targets of the yeast activator protein 1.

Authors:  He Jun; Thomas Kieselbach; Leif J Jönsson
Journal:  BMC Genomics       Date:  2012-06-09       Impact factor: 3.969

4.  Comparative proteomic analysis of transition of saccharomyces cerevisiae from glucose-deficient medium to glucose-rich medium.

Authors:  Bennett J Giardina; Bruce A Stanley; Hui-Ling Chiang
Journal:  Proteome Sci       Date:  2012-06-12       Impact factor: 2.480

5.  Quantitative proteomics targeting classes of motif-containing peptides using immunoaffinity-based mass spectrometry.

Authors:  Niclas Olsson; Peter James; Carl A K Borrebaeck; Christer Wingren
Journal:  Mol Cell Proteomics       Date:  2012-04-27       Impact factor: 5.911

6.  Nutrient control of eukaryote cell growth: a systems biology study in yeast.

Authors:  Alex Gutteridge; Pinar Pir; Juan I Castrillo; Philip D Charles; Kathryn S Lilley; Stephen G Oliver
Journal:  BMC Biol       Date:  2010-05-24       Impact factor: 7.431

7.  Transcriptomic analysis identifies growth rate modulation as a component of the adaptation of mycobacteria to survival inside the macrophage.

Authors:  D J V Beste; E Laing; B Bonde; C Avignone-Rossa; M E Bushell; J J McFadden
Journal:  J Bacteriol       Date:  2007-03-23       Impact factor: 3.490

8.  The influence of cultivation methods on Shewanella oneidensis physiology and proteome expression.

Authors:  Dwayne A Elias; Sandra L Tollaksen; David W Kennedy; Heather M Mottaz; Carol S Giometti; Jeffrey S McLean; Eric A Hill; Grigoriy E Pinchuk; Mary S Lipton; James K Fredrickson; Yuri A Gorby
Journal:  Arch Microbiol       Date:  2007-11-21       Impact factor: 2.552

9.  Mass spectrometry-based approaches toward absolute quantitative proteomics.

Authors:  Keiji Kito; Takashi Ito
Journal:  Curr Genomics       Date:  2008-06       Impact factor: 2.236

10.  Systems level modeling of the cell cycle using budding yeast.

Authors:  B P Ingalls; B P Duncker; D R Kim; B J McConkey
Journal:  Cancer Inform       Date:  2007-12-11
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