Dynamics of Gene Expression Revealed by Comparison of Serial Analysis of Gene Expression Transcript Profiles from Yeast Grown on Two Different Carbon SourcesD
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 c...
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Veröffentlicht in: | Molecular biology of the cell 1999-06, Vol.10 (6), p.1859-1872 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | 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 β-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. |
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ISSN: | 1059-1524 |