An mTOR inhibitor discovery system using drug-sensitized yeast

Anna K Breen1, Sarah Thomas1, David Beckett1

  • 1Department of Biomedical Sciences, Western University of Health Sciences, Lebanon, OR, 97355, USA.

Geroscience
|January 30, 2025
PubMed

Insights

Researchers developed a drug-sensitive yeast strain to identify new TOR inhibitors. This platform significantly enhances detection sensitivity for compounds targeting the TOR pathway, aiding in the discovery of potential geroprotective and anti-cancer agents.

Area of Science:

  • Molecular Biology
  • Drug Discovery
  • Yeast Genetics

Background:

  • The target of rapamycin (TOR) pathway regulates cell growth and aging.
  • Rapamycin extends lifespan but has side effects, necessitating new TOR inhibitors.
  • Yeast models offer a tractable system for studying TOR and identifying inhibitors.

Purpose of the Study:

  • To develop a highly sensitive yeast-based platform for identifying novel TOR inhibitors.
  • To improve the detection sensitivity for known TOR inhibitors.
  • To screen compounds for TOR pathway inhibitory activity.

Main Methods:

  • Generated a panel of Saccharomyces cerevisiae strains with mutations in TOR pathway genes and removed drug efflux genes.
  • Created a drug-sensitive yeast background for enhanced inhibitor detection.
  • Tested known TOR inhibitors (Torin1, GSK2126458, AZD8055) and screened other compounds for TOR1-dependent growth inhibition.

Main Results:

  • The drug-sensitive yeast system demonstrated a 200-250 fold increase in sensitivity for Torin1 and GSK2126458.
  • Identified TOR1-dependent growth inhibition by AZD8055, which was not observed in wild-type yeast.
  • Discovered aminophylline as a novel TOR1-dependent growth inhibitor and found no TOR inhibition by several other tested compounds.

Conclusions:

  • The developed drug-sensitive yeast platform is highly effective for identifying TOR pathway inhibitors.
  • This system provides a rapid, cost-efficient, and sensitive tool for drug discovery.
  • The platform has the potential to accelerate the identification of new geroprotective and anti-cancer agents.