Project description:microarray experiment to test the gene expression in long term lines of mutator and non-mutator yeast. Here we use an experimental evolution approach to investigate the conditions required for evolution of a reduction in mutation rate and the mechanisms by which populations tolerate the accumulation of deleterious mutations. We find that after ~6700 generations four out of eight experimental mutator lines had evolved a decreased mutation rate.
Project description:microarray experiment to test the gene expression in long term lines of mutator and non-mutator yeast. Here we use an experimental evolution approach to investigate the conditions required for evolution of a reduction in mutation rate and the mechanisms by which populations tolerate the accumulation of deleterious mutations. We find that after ~6700 generations four out of eight experimental mutator lines had evolved a decreased mutation rate. 2 condition experiment, derived experimental evolution strains compared to their ancestor strain. We compared the expression profile of one of the mutator lines (m8) after 6700 generations with its mutator ancestor, and as a control, an evolved non mutator after 6700 generations was compared to to its non-mutator ancestor. In order to prepare cells for expression microarray, glass tubes containing 3 ml of YPD were inoculated from overnight cultures, and grown until the OD600 was approximately 0.3.
Project description:We report the application of single-molecule-based sequencing technology for high-throughput profiling of histone modifications in yeast. By obtaining bases of sequence from chromatin immunoprecipitated DNA, we generated genome-wide chromatin-state maps of saccharomuces cerevisiae.We find that H3T11 phosphorylationlysine is widely distributed in gene promoter region and chromosome telomere region
Project description:A systematic approach allowing the identification of the molecular way-of-action of novel potential drugs represents the golden-tool for drug-discovery. While high-throughput screening technologies of large libraries is now well established, the assessment of the drug targets and mechanism of action is still under development. Taking advantage of the yeast model Saccharomyces cerevisiae, we herein applied BarSeq, a Next Generation Sequencing-based method to the analysis of both haploinsufficiency and homozygous fitness effects of a novel antifungal drug ('089') compared to the well-known antifungal ketoconazole. '089' was a novel compound identified in during a screen for antifungal drugs, as it was showing fungicidal effects, and able to affect the yeast fitness at the mitochondrial level (Stefanini et al., 2010. (Dissection of the Effects of Small Bicyclic Peptidomimetics on a Panel of Saccharomyces cerevisiae Mutants;.J Biol Chem, 285: 23477-23485.) Integrative bioinformatic analysis of BarSeq, whole genome expression analysis and classical biological assays identified the target and cell pathways affected by the novel antifungal. Confirmation of the effects observed in the yeast model and in pathogenic fungi further demonstrated the reliability of the multi-sided approach and the novelty of the targets and way-of-action of the new class of molecules studied representing a valuable source of novel antifungals.
Project description:We created a mutator protein. The mutator, was prepared by fusing a PmCDA1 (Petromyzon marinus Cytidine DeAminase) and E.coli RNA polymerase alpha subunit(EcoRNAP alpha). After 120 cycles, whole genome sequencing was performed on the wild type and evolved sample. After characterization of the mutation capacity of our mutator, we evolved a sucrose utilization strain and we sequenced Suc strain.
Project description:The target of rapamycin (TOR) plays a central role in eukaryotic cell growth control. With prevalent hyper-activation of the mTOR pathway in human cancers, novel strategies to enhance TOR pathway inhibition are highly desirable. We used a yeast-based high-throughput chemical genetic screen to identify small-molecule enhancers of rapamycin (SMERs) and used whole genome expression analysis to identify their mechanisms of action.