PUBLICATION

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

Authors
Stewart, A.M., Gerlai, R., Kalueff, A.V.
ID
ZDB-PUB-150303-4
Date
2015
Source
Frontiers in behavioral neuroscience   9: 14 (Other)
Registered Authors
Gerlai, Robert T., Kalueff, Allan V.
Keywords
CNS drug discovery, big data, high-throughput screens, phenomics, zebrafish models
MeSH Terms
none
PubMed
25729356 Full text @ Front. Behav. Neurosci.
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.
Genes / Markers
Figures
Expression
Phenotype
Mutations / Transgenics
Human Disease / Model
Sequence Targeting Reagents
Fish
Antibodies
Orthology
Engineered Foreign Genes
Mapping