Yoko Yashiroda

This study shows that the antifungal peptide TNM-A causes ectopic overproduction of cell wall glucan in fission yeast by altering Cdc42 activation and glucan synthase localization.

The paper develops a barcoded yeast collection to map genotype-phenotype relationships across genetic diversity, revealing genetic variants linked to chemical responses.

This study identifies glutathione as an exometabolite that rescues growth and morphology defects in fission yeast mutants through both nutritional and non-nutritional mechanisms.

This study shows that pentadecanoic acid causes lipotoxicity in fission yeast by forming giant ER sheets, disrupting cell division.

The paper shows that NSF in fission yeast interacts with Hmt2 and shifts gene expression from fermentation to respiration-like, independent of carbon source.

This paper identifies brilacidin as a novel antifungal agent effective against Cryptococcus neoformans, showing it reduces fungal survival in macrophages and potentiates existing antifungals.

The paper identifies genes whose overexpression is adaptive under stress in budding yeast, revealing cellular requirements influenced by genetic background and environment.

BIONIC integrates biological networks using deep learning to improve accuracy and scalability, identifying novel gene interactions in yeast.

The paper benchmarks structure descriptors and similarity coefficients using chemical-genetic interaction data to improve compound function prediction.

The paper develops CG-TARGET to predict compound biological processes by integrating chemical-genetic and genetic interaction networks, showing improved accuracy and FDR control.

The paper introduces MOSAIC, a database and web resource for chemical-genetic interaction data, enabling mode-of-action prediction and discovery of compound effects in yeast.

This study develops a yeast-based chemical-genetic screening system to annotate compound functionality across biological processes and identifies compounds with dual modes of action.