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Genes encoding peroxisomal proteins in the yeast Saccharomyces cereviasiae are induced in the presence of oleate in growth medium. This induction is known to be mediated by the binding of a heterodimer of transcription factors Oaf1 and Pip2 to an upstream activating sequence called ORE (oleate response element). By analyzing expression of nine ORE-containing genes we show that the presence of an ORE sequence is not sufficient to confer oleate inducibility, as three such genes were in fact expressed constitutively. Moreover, some of the oleate-inducible genes undergo activation even in the absence of Pip2. Using coimmunoprecipitation we show that, when Pip2 is missing, Oaf1 may form homodimers which apparently substitute for the Oaf1-Pip2 heterodimer.
Pubmed ID: 18671944 RIS Download
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A curated database that provides comprehensive integrated biological information for Saccharomyces cerevisiae along with search and analysis tools to explore these data. SGD allows researchers to discover functional relationships between sequence and gene products in fungi and higher organisms. The SGD also maintains the S. cerevisiae Gene Name Registry, a complete list of all gene names used in S. cerevisiae which includes a set of general guidelines to gene naming. Protein Page provides basic protein information calculated from the predicted sequence and contains links to a variety of secondary structure and tertiary structure resources. Yeast Biochemical Pathways allows users to view and search for biochemical reactions and pathways that occur in S. cerevisiae as well as map expression data onto the biochemical pathways. Literature citations are provided where available.
View all literature mentionsSoftware analysis package for molecular biology community. Automatically copes with data in variety of formats and allows transparent retrieval of sequence data from web. Libraries are provided with package. Provides toolkit for creating bioinformatics applications or workflows. Provides set of sequence analysis programs. Provided programs cover areas such as sequence alignment, rapid database searching with sequence patterns, protein motif identification, nucleotide sequence pattern analysis, codon usage analysis for small genomes, rapid identification of sequence patterns in large scale sequence sets, and presentation tools for publication.
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