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Vol. 10, Issue 6, 1859-1872, June 1999

Dynamics of Gene Expression Revealed by Comparison of Serial Analysis of Gene Expression Transcript Profiles from Yeast Grown on Two Different Carbon Sources

Arnoud J. Kal,*dagger Anton Jan van Zonneveld,*Dagger Vladimir Benes,§ Marlene van den Berg,* Marian Groot Koerkamp,* Kaj Albermann,parallel Normann Strack,parallel Jan M. Ruijter, Alexandra Richter,§ Bernard Dujon,# Wilhelm Ansorge,§ and Henk F. Tabak*a

Departments of  *Biochemistry and  Anatomy and Embryology, University of Amsterdam, Academic Medical Center, 1105 AZ Amsterdam, The Netherlands;  §European Molecular Biology Laboratory, Biochemical Instrumentation Programme, D-69117 Heidelberg, Germany;  parallel Munich Information Centre for Protein Sequences, Max-Planck-Institut für Biochemie, D-82152 Martinsried, Germany; and  #Unité de Génétique Moleculaire des Levures, Institut Pasteur, F-75724 Paris Cedex 15, France

We describe a genome-wide characterization of mRNA transcript levels in yeast grown on the fatty acid oleate, determined using Serial Analysis of Gene Expression (SAGE). Comparison of this SAGE library with that reported for glucose grown cells revealed the dramatic adaptive response of yeast to a change in carbon source. A major fraction (>20%) of the 15,000 mRNA molecules in a yeast cell comprised differentially expressed transcripts, which were derived from only 2% of the total number of ~6300 yeast genes. Most of the mRNAs that were differentially expressed code for enzymes or for other proteins participating in metabolism (e.g., metabolite transporters). In oleate-grown cells, this was exemplified by the huge increase of mRNAs encoding the peroxisomal beta -oxidation enzymes required for degradation of fatty acids. The data provide evidence for the existence of redox shuttles across organellar membranes that involve peroxisomal, cytoplasmic, and mitochondrial enzymes. We also analyzed the mRNA profile of a mutant strain with deletions of the PIP2 and OAF1 genes, encoding transcription factors required for induction of genes encoding peroxisomal proteins. Induction of genes under the immediate control of these factors was abolished; other genes were up-regulated, indicating an adaptive response to the changed metabolism imposed by the genetic impairment. We describe a statistical method for analysis of data obtained by SAGE.


   Online version of this article contains a complete data set. Online version available at www.molbiolcell.org.
dagger    Present address: Gene Expression Control Laboratory, Imperial Cancer Research Fund, 44 Lincoln's Inn Fields, London WC2A 3PX, United Kingdom.
Dagger    Present address: Introgene BV, 2333 AL Leiden, The Netherlands.
a   Corresponding author. E-mail address: H.F.Tabak{at}amc.uva.nl.


Molecular Biology of the Cell
Vol. 10, 1859-1872, June 1999
Copyright © 1999 by The American Society for Cell Biology



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