Developing highER-throughput zebrafish screens for in-vivo CNS drug discovery

Adam Michael Stewart, Robert Gerlai, Allan V. Kalueff*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

59 Citations (Scopus)

Abstract

The high prevalence of brain disorders and the lack of their efficient treatments necessitate improved in-vivo pre-clinical models and tests. The zebrafish (Danio rerio), a vertebrate species with high genetic and physiological homology to humans, is an excellent organism for innovative central nervous system (CNS) drug discovery and small molecule screening. Here, we outline new strategies for developing higher-throughput zebrafish screens to test neuroactive drugs and predict their pharmacological mechanisms. With the growing application of automated 3D phenotyping, machine learning algorithms, movement pattern- and behavior recognition, and multi-animal video-tracking, zebrafish screens are expected to markedly improve CNS drug discovery.

Original languageEnglish
Article number14
JournalFrontiers in Behavioral Neuroscience
Volume9
Issue numberFEB
DOIs
Publication statusPublished - 12 Feb 2015
Externally publishedYes

Keywords

  • Big data
  • CNS drug discovery
  • High-throughput screens
  • Phenomics
  • Zebrafish models

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