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A novel high-content phenotypic screen to identify inhibitors of mitochondrial DNA maintenance in trypanosomes.

Migla MiskinyteJohn C DawsonAshraff MakdaDahlia Doughty-ShentonNeil O CarragherAchim Schnaufer
Published in: Antimicrobial agents and chemotherapy (2021)
Kinetoplastid parasites cause diverse neglected diseases in humans and livestock, with an urgent need for new treatments. Survival of kinetoplastids depends on their uniquely structured mitochondrial genome (kDNA), the eponymous kinetoplast. Here we report development of a high-content screen for pharmacologically induced kDNA loss, based on specific staining of parasites and automated image analysis. As proof-of-concept we screened a diverse set of ∼14,000 small molecules and exemplify a validated hit as a novel kDNA-targeting compound.
Keyphrases
  • mitochondrial dna
  • high throughput
  • copy number
  • oxidative stress
  • plasmodium falciparum
  • machine learning
  • deep learning
  • high glucose
  • gene expression
  • drug induced