Project description:The budding yeast Saccharomyces cerevisiae is a popular host to be used to produce recombinant proteins. Here we studied three yeast strains with different productivity using the RNA-seq data to elucidate the mechanisms for improving protein production.
Project description:<p>Aging is a complex biological process influenced by genetic factors, environmental conditions, and interactions between organisms and their associated microbes. The budding yeast Saccharomyces cerevisiae and the fruit fly Drosophila melanogaster provide complementary model systems for investigating conserved metabolic processes associated with aging and longevity. However, comprehensive metabolomic resources describing how aging-associated microbial genetic alterations influence host metabolic states remain limited.</p><p>In this study, we generated a comprehensive untargeted metabolomics dataset to characterize metabolic alterations associated with aging-related S. cerevisiae deletion strains and their interactions with the D. melanogaster host. The dataset includes liquid chromatography–mass spectrometry (LC–MS)-based metabolomic profiles from 15 yeast strains, including the BY4743 control strain and 14 aging-associated deletion strains, as well as host metabolomic profiles from Drosophila tissues exposed to different yeast interventions. Host samples include intestinal and non-intestinal tissues collected at different life stages, enabling assessment of tissue-specific and age-associated metabolic responses to yeast genetic perturbations.</p><p>The generated dataset contains raw and processed metabolomics data, metabolite annotation information, and comprehensive sample metadata describing biological conditions, genetic backgrounds, tissue sources, intervention groups, and experimental parameters. These data provide a reusable resource for studying yeast-derived metabolic regulation, microbe–host interactions, and age-associated metabolic remodeling.</p><p>This metabolomics resource facilitates integrative analyses of microbial genetic variation, host metabolic adaptation, and conserved aging-related pathways, and supports future investigations into the molecular connections between microbial factors and host physiology.</p>
