High-throughput Saccharomyces cerevisiae cultivation method for credentialing-based untargeted metabolomics.

ABSTRACT: Identifying metabolites in model organisms is critical for many areas of biology, including unravelling disease aetiology or elucidating functions of putative enzymes. Even now, hundreds of predicted metabolic genes in Saccharomyces cerevisiae remain uncharacterized, indicating that our understanding of metabolism is far from complete even in well-characterized organisms. While untargeted high-resolution mass spectrometry (HRMS) enables the detection of thousands of features per analysis, many of these have a non-biological origin. Stable isotope labelling (SIL) approaches can serve as credentialing strategies to distinguish biologically relevant features from background signals, but implementing these experiments at large scale remains challenging. Here, we developed a SIL-based approach

SUBMITTER: Favilli L 

PROVIDER: S-EPMC10289995 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature