Literature DB >> 14748081

Genome-wide transcriptional response of a Saccharomyces cerevisiae strain with an altered redox metabolism.

Christoffer Bro1, Birgitte Regenberg, Jens Nielsen.   

Abstract

The genome-wide transcriptional response of a Saccharomyces cerevisiae strain deleted in GDH1 that encodes a NADP(+)-dependent glutamate dehydrogenase was compared to a wild-type strain under anaerobic steady-state conditions. The GDH1-deleted strain has a significantly reduced NADPH requirement, and therefore, an altered redox metabolism. Identification of genes with significantly changed expression using a t-test and a Bonferroni correction yielded only 16 transcripts when accepting two false-positives, and 7 of these were Open Reading Frames (ORFs) with unknown function. Among the 16 transcripts the only one with a direct link to redox metabolism was GND1, encoding phosphogluconate dehydrogenase. To extract additional information we analyzed the transcription data for a gene subset consisting of all known genes encoding metabolic enzymes that use NAD(+) or NADP(+). The subset was analyzed for genes with significantly changed expression again with a t-test and correction for multiple testing. This approach was found to enrich the analysis since GND1, ZWF1 and ALD6, encoding the most important enzymes for regeneration of NADPH under anaerobic conditions, were down-regulated together with eight other genes encoding NADP(H)-dependent enzymes. This indicates a possible common redox-dependent regulation of these genes. Furthermore, we showed that it might be necessary to analyze the expression of a subset of genes to extract all available information from global transcription analysis. Copyright 2004 Wiley Periodicals, Inc.

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Year:  2004        PMID: 14748081     DOI: 10.1002/bit.10899

Source DB:  PubMed          Journal:  Biotechnol Bioeng        ISSN: 0006-3592            Impact factor:   4.530


  10 in total

1.  Improvement of galactose uptake in Saccharomyces cerevisiae through overexpression of phosphoglucomutase: example of transcript analysis as a tool in inverse metabolic engineering.

Authors:  Christoffer Bro; Steen Knudsen; Birgitte Regenberg; Lisbeth Olsson; Jens Nielsen
Journal:  Appl Environ Microbiol       Date:  2005-11       Impact factor: 4.792

2.  Uncovering transcriptional regulation of metabolism by using metabolic network topology.

Authors:  Kiran Raosaheb Patil; Jens Nielsen
Journal:  Proc Natl Acad Sci U S A       Date:  2005-02-14       Impact factor: 11.205

3.  High-throughput metabolic state analysis: the missing link in integrated functional genomics of yeasts.

Authors:  Silas G Villas-Bôas; Joel F Moxley; Mats Akesson; Gregory Stephanopoulos; Jens Nielsen
Journal:  Biochem J       Date:  2005-06-01       Impact factor: 3.857

4.  Sampling the solution space in genome-scale metabolic networks reveals transcriptional regulation in key enzymes.

Authors:  Sergio Bordel; Rasmus Agren; Jens Nielsen
Journal:  PLoS Comput Biol       Date:  2010-07-15       Impact factor: 4.475

5.  Cytosolic NADPH balancing in Penicillium chrysogenum cultivated on mixtures of glucose and ethanol.

Authors:  Zheng Zhao; Karel Kuijvenhoven; Walter M van Gulik; Joseph J Heijnen; Wouter A van Winden; Peter J T Verheijen
Journal:  Appl Microbiol Biotechnol       Date:  2010-08-31       Impact factor: 4.813

6.  Evolutionarily engineered ethanologenic yeast detoxifies lignocellulosic biomass conversion inhibitors by reprogrammed pathways.

Authors:  Z Lewis Liu; Menggen Ma; Mingzhou Song
Journal:  Mol Genet Genomics       Date:  2009-06-11       Impact factor: 3.291

7.  Targeted proteome analysis of single-gene deletion strains of Saccharomyces cerevisiae lacking enzymes in the central carbon metabolism.

Authors:  Fumio Matsuda; Syohei Kinoshita; Shunsuke Nishino; Atsumi Tomita; Hiroshi Shimizu
Journal:  PLoS One       Date:  2017-02-27       Impact factor: 3.240

8.  Coordinated concentration changes of transcripts and metabolites in Saccharomyces cerevisiae.

Authors:  Patrick H Bradley; Matthew J Brauer; Joshua D Rabinowitz; Olga G Troyanskaya
Journal:  PLoS Comput Biol       Date:  2009-01-30       Impact factor: 4.475

9.  The influence of HMF and furfural on redox-balance and energy-state of xylose-utilizing Saccharomyces cerevisiae.

Authors:  Magnus Ask; Maurizio Bettiga; Valeria Mapelli; Lisbeth Olsson
Journal:  Biotechnol Biofuels       Date:  2013-02-15       Impact factor: 6.040

10.  Reporter pathway analysis from transcriptome data: Metabolite-centric versus Reaction-centric approach.

Authors:  Tunahan Çakır
Journal:  Sci Rep       Date:  2015-09-28       Impact factor: 4.379

  10 in total

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