
In an effort to identify sets of yeast genes that are coregulated across various cellular transitions, gene expression data sets derived from yeast cells progressing through the cell cycle, sporulation, and diauxic shift were analyzed. A partitioning algorithm was used to divide each data set into 24 clusters of similar expression profiles, and the membership of the clusters was compared across the three experiments. A single cluster of 189 genes from the cell cycle experiment was found to share 65 genes with a cluster of 159 genes from the sporulation data set. Many of these genes were found to be clustered in the diauxic-shift experiment as well. The overlapping set was enriched for genes required for rRNA biosynthesis and included genes encoding RNA helicases, subunits of RNA polymerases I and III, and rRNA processing factors. A subset of the 65 genes was tested for expression by a quantitative-relative reverse transcriptase PCR technique, and they were found to be coregulated after release from alpha factor arrest, heat shock, and tunicamycin treatment. Promoter scanning analysis revealed that the 65 genes within this ribosome and rRNA biosynthesis (RRB) regulon were enriched for two motifs: the 13-base GCGATGAGATGAG and the 11-base TGAAAAATTTT consensus sequences. Both motifs were found to be important for promoting gene expression after release from alpha factor arrest in a test rRNA processing gene (EBP2), which suggests that these consensus sequences may function broadly in the regulation of a set of genes required for ribosome and rRNA biosynthesis.
Hot Temperature, Base Sequence, Models, Genetic, Reverse Transcriptase Polymerase Chain Reaction, Amino Acid Motifs, Cell Cycle, Molecular Sequence Data, Nuclear Proteins, Models, Theoretical, Polymerase Chain Reaction, Fungal Proteins, Gene Expression Regulation, RNA, Ribosomal, Multigene Family, Carrier Proteins, Promoter Regions, Genetic, Ribosomes, Algorithms, Oligonucleotide Array Sequence Analysis, Plasmids
Hot Temperature, Base Sequence, Models, Genetic, Reverse Transcriptase Polymerase Chain Reaction, Amino Acid Motifs, Cell Cycle, Molecular Sequence Data, Nuclear Proteins, Models, Theoretical, Polymerase Chain Reaction, Fungal Proteins, Gene Expression Regulation, RNA, Ribosomal, Multigene Family, Carrier Proteins, Promoter Regions, Genetic, Ribosomes, Algorithms, Oligonucleotide Array Sequence Analysis, Plasmids
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