Integrating yeast chemical genomics and mammalian cell pathway analysis

Acta Pharmacol Sin. 2019 Sep;40(9):1245-1255. doi: 10.1038/s41401-019-0231-y. Epub 2019 May 28.

Abstract

Chemical genomics has been applied extensively to evaluate small molecules that modulate biological processes in Saccharomyces cerevisiae. Here, we use yeast as a surrogate system for studying compounds that are active against metazoan targets. Large-scale chemical-genetic profiling of thousands of synthetic and natural compounds from the Chinese National Compound Library identified those with high-confidence bioprocess target predictions. To discover compounds that have the potential to function like therapeutic agents with known targets, we also analyzed a reference library of approved drugs. Previously uncharacterized compounds with chemical-genetic profiles resembling existing drugs that modulate autophagy and Wnt/β-catenin signal transduction were further examined in mammalian cells, and new modulators with specific modes of action were validated. This analysis exploits yeast as a general platform for predicting compound bioactivity in mammalian cells.

Keywords: Wnt/β-catenin signaling pathway; autophagy; chemical genomics; tubulin cytoskeleton assembly; yeast.

MeSH terms

  • Autophagy / drug effects*
  • Correlation of Data
  • Drug Discovery*
  • Genetic Profile
  • Genomics / methods
  • HEK293 Cells
  • HeLa Cells
  • Humans
  • Proof of Concept Study
  • Saccharomyces cerevisiae / drug effects*
  • Small Molecule Libraries / pharmacology*
  • Wnt Signaling Pathway / drug effects*
  • beta Catenin / metabolism

Substances

  • Small Molecule Libraries
  • beta Catenin