Profiling Yeast Deletion Strains using Sample Multiplexing and Network-based Analyses

ABSTRACT: The yeast, Saccharomyces cerevisiae, is a widely used model system for investigating conserved biological functions and pathways. Advancements in sample multiplexing have facilitated the study of the yeast proteome, yet many yeast proteins remain uncharacterized or only partially characterized. The availability of yeast deletion strain collections is a powerful resource for yeast proteome studies, uncovering the effects of gene function, genetic interactions, and cellular stresses. As complex biological systems cannot be understood by simply analyzing the individual components, a systems approach is often required in which a protein is represented as a component of large, interacting networks. Here, to evaluate the current state of yeast proteome analysis, we used isobaric tag-based sample multiplexing (TMTpro16) to profile the proteomes of 75 yeast deletion strains. Using this strategy, we measured the abundance of nearly 5,000 proteins. We highlight covariance and regulation sub-networks and determine the gene ontology classifications of co-varying and co-regulated proteins. This dataset presents a resource that is amenable to further datamining to study individual deletion strains, pathways, proteins, and/or interactions thereof, while serving as a template for future network-based investigations using the yeast deletion strain collection.

INSTRUMENT(S): Orbitrap Fusion Lumos

ORGANISM(S): Saccharomyces Cerevisiae (baker's Yeast)

SUBMITTER: Joao Paulo  

LAB HEAD: Joao Paulo

PROVIDER: PXD032042 | Pride | 2022-09-02

REPOSITORIES: Pride