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Integrating yeast chemical genomics and mammalian cell pathway analysis

  • Fu lai Zhou
  • , Sheena C. Li
  • , Yue Zhu
  • , Wan jing Guo
  • , Li jun Shao
  • , Justin Nelson
  • , Scott Simpkins
  • , De hua Yang
  • , Qing Liu
  • , Yoko Yashiroda
  • , Jin biao Xu
  • , Yao yue Fan
  • , Jian min Yue
  • , Minoru Yoshida
  • , Tian Xia
  • , Chad L. Myers
  • , Charles Boone
  • , Ming wei Wang

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish (US)
Pages (from-to)1245-1255
Number of pages11
JournalActa Pharmacologica Sinica
Volume40
Issue number9
DOIs
StatePublished - Sep 1 2019

Bibliographical note

Publisher Copyright:
© 2019, CPS and SIMM.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Wnt/β-catenin signaling pathway
  • autophagy
  • chemical genomics
  • tubulin cytoskeleton assembly
  • yeast

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