A5084025133- Microbial Metabolic Engineering and Bioproduction
- Microbial Natural Products and Biosynthesis
- Computational Drug Discovery Methods
- Bioinformatics and Genomic Networks
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- Fungal and yeast genetics research
The University of Tokyo
2015-2022
The incidence of fungal infection and evolution multidrug resistance have increased the need for new antifungal agents. To gain further insight into development drugs, phenotypic profiles currently available agents three classes—ergosterol, cell wall nucleic acid biosynthesis inhibitors—were investigated using yeast morphology as a chemogenomic signature. comparison drug-induced morphological changes with deletion 4718 non-essential genes not only confirmed mode action drugs but also...
Abstract Morphological profiling is an omics-based approach for predicting intracellular targets of chemical compounds in which the dose-dependent morphological changes induced by compound are systematically compared to gene-deleted cells. In this study, we developed a reliable high-throughput (HT) platform yeast using drug-hypersensitive strains minimize use, HT microscopy speed up data generation and analysis, generalized linear model predict with high reliability. We first conducted...
Chemical-genetic interactions-observed when the treatment of mutant cells with chemical compounds reveals unexpected phenotypes-contain rich functional information linking to their cellular modes action. To systematically identify these interactions, an array mutants is challenged a compound and monitored for fitness defects, generating chemical-genetic interaction profile that provides quantitative, unbiased description function(s) perturbed by compound. Genetic obtained from genome-wide...
Abstract Chemical-genetic interactions – observed when the treatment of mutant cells with chemical compounds reveals unexpected phenotypes contain rich functional information linking to their cellular modes action. To systematically identify these interactions, an array mutants is challenged a compound and monitored for fitness defects, generating chemical-genetic interaction profile that provides quantitative, unbiased description function(s) perturbed by compound. Genetic obtained from...
Abstract Chemical-genetic approaches offer the potential for unbiased functional annotation of chemical libraries. Mutations can alter response cells to a compound, revealing chemical-genetic interactions that elucidate compound’s mode action. We developed highly parallel and yeast screening system involving three key components. First, in drug-sensitive genetic background, we constructed an optimized, diagnostic mutant collection is predictive all major biological processes. Second,...