Project description:Saccharomyces cerevisiae is an excellent microorganism for industrial succinic acid production, but high succinic acid concentration will inhibit the growth of Saccharomyces cerevisiae then reduce the production of succinic acid. Through analysis the transcriptomic data of Saccharomyces cerevisiae with different genetic backgrounds under different succinic acid stress, we hope to find the response mechanism of Saccharomyces cerevisiae to succinic acid.
Project description:Gentamicin is a highly efficacious antibiotic against gram-negative bacteria. However, its usefulness in treating infection is compromised by its poorly understood renal toxicity. This toxic effect is seen in a variety of organisms. While the yeast Saccharomyces cerevisiae is relatively insensitive to gentamicin, mutations in any one of 20 or so genes causes a dramatic increase in sensitivity. Many of these genes encode proteins important for translation termination or specific protein trafficking complexes. Here, we demonstrate by microarray analysis that gentamicin treatment leads to dramatic decreases in genes under the control of the MADS box protein Mcm1, including genes encoding products involved in mating, nitrogen utilization, and ribosome biogenesis. Furthermore, microarray analysis also demonstrates an increase in a Rlm1-dependent set of genes involved in maintaining the structure of the cell wall that are also induced by the antifungal agents caspofungin and calcofluor white. Subsequent inspection of the physical and genetic interactions of the remaining gentamicin sensitive mutants revealed a network centered around chitin synthase and the Arf Pathway. Furthermore, conditional arf1 mutants are hypersensitive to gentamicin even under permissive conditions. These results suggest that gentamicin may act as a cell wall stress, possibly by disrupting Arf-dependent trafficking of proteins involved in forming the cell wall. Keywords: disease state analysis, comparative genomic analysis +/- gentamicin treatment
Project description:Industrial bioethanol production may involve a low pH environment,improving the tolerance of S. cerevisiae to a low pH environment caused by inorganic acids may be of industrial importance to control bacterial contamination, increase ethanol yield and reduce production cost. Through analysis the transcriptomic data of Saccharomyces cerevisiae with different ploidy under low pH stress, we hope to find the tolerance mechanism of Saccharomyces cerevisiae to low pH.
Project description:We employed CapitalBio Corporation to investigate the global transcriptional profiling of Saccharomyces cerevisiae treated with thymol. Keywords: gene expression array-based, count
Project description:We employed CapitalBio Corporation to investigate the global transcriptional profiling of Saccharomyces cerevisiae treated with allicin.
