A High-Content Larval Zebrafish Brain Imaging Method for Small Molecule Drug Discovery.
Harrison LiuSteven ChenKevin HuangJeffrey KimHan MoRaffael IovineJulie GendrePauline PascalQiang LiYaping SunZhiqiang DongMichelle ArkinSu GuoBo HuangPublished in: PloS one (2016)
Drug discovery in whole-organisms such as zebrafish is a promising approach for identifying biologically-relevant lead compounds. However, high content imaging of zebrafish at cellular resolution is challenging due to the difficulty in orienting larvae en masse such that the cell type of interest is in clear view. We report the development of the multi-pose imaging method, which uses 96-well round bottom plates combined with a standard liquid handler to repose the larvae within each well multiple times, such that an image in a specific orientation can be acquired. We have validated this method in a chemo-genetic zebrafish model of dopaminergic neuron degeneration. For this purpose, we have developed an analysis pipeline that identifies the larval brain in each image and then quantifies neuronal health in CellProfiler. Our method achieves a SSMD* score of 6.96 (robust Z'-factor of 0.56) and is suitable for screening libraries up to 105 compounds in size.
Keyphrases
- drug discovery
- small molecule
- high resolution
- aedes aegypti
- drosophila melanogaster
- healthcare
- deep learning
- public health
- white matter
- genome wide
- cerebral ischemia
- mental health
- photodynamic therapy
- dna methylation
- machine learning
- subarachnoid hemorrhage
- climate change
- health information
- social media
- protein protein