In 1997 Joseph DeRisi, Vishwanath Iyer, and Patrick Brown

In 1997 Joseph DeRisi, Vishwanath Iyer, and Patrick Brown conducted an experiment on Saccharomyces cerevisiae using DNA microarrays. Describe their experiment, their hypothesis and their general findings from their study.

In 1997 Joseph DeRisi, Vishwanath Iyer, and Patrick Brown

In 1997 Joseph DeRisi, Vishwanath Iyer, and Patrick Brown conducted an experiment on Saccharomyces cerevisiae using DNA microarrays. Describe their experiment, their hypothesis and their general findings from their study.

More details;

DNA microarrays containing virtually every gene of Saccharomyces cerevisiae were used to carry out a comprehensive investigation of the temporal program of gene expression accompanying the metabolic shift from fermentation to respiration. The expression profiles observed for genes with known metabolic functions pointed to features of the metabolic reprogramming that occur during the diauxic shift, and the expression patterns of many previously uncharacterized genes provided clues to their possible functions. The same DNA microarrays were also used to identify genes whose expression was affected by deletion of the transcriptional co-repressor TUP1 or overexpression of the transcriptional activator YAP1. These results demonstrate the feasibility and utility of this approach to genomewide exploration of gene expression patterns.

We sought to create a comprehensive catalog of yeast genes whose transcript levels vary periodically within the cell cycle. To this end, we used DNA microarrays and samples from yeast cultures synchronized by three independent methods: α factor arrest, elutriation, and arrest of a cdc15 temperature-sensitive mutant. Using periodicity and correlation algorithms, we identified 800 genes that meet an objective minimum criterion for cell cycle regulation.

In separate experiments, designed to examine the effects of inducing either the G1 cyclin Cln3p or the B-type cyclin Clb2p. We found that the mRNA levels of more than half of these 800 genes respond to one or both of these cyclins. Furthermore, we analyzed our set of cell cycle–regulated genes for known. Also, new promoter elements and show that several known elements (or variations thereof) contain information predictive of cell cycle regulation. Finally, A full description and complete data sets are available at http://cellcycle-www.stanford.edu

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