Back to Search
Start Over
Automated, high-throughput, in vivo analysis of visual function using the zebrafish
- Source :
- Developmental Dynamics. 245:605-613
- Publication Year :
- 2016
- Publisher :
- Wiley, 2016.
-
Abstract
- BACKGROUND Modern genomics has enabled the identification of an unprecedented number of genetic variants, which in many cases are extremely rare, associated with blinding disorders. A significant challenge will be determining the pathophysiology of each new variant. The Zebrafish is an excellent model for the study of inherited diseases of the eye. By 5 days post-fertilization (dpf), they have quantifiable behavioral responses to visual stimuli. However, visual behavior assays can take several hours to perform or can only be assessed one fish at a time. RESULTS To increase the throughput for vision assays, we used the Viewpoint Zebrabox to automate the visual startle response and created software, Visual Interrogation of Zebrafish Manipulations (VIZN), to automate data analysis. This process allows 96 Zebrafish larvae to be tested and resultant data to be analyzed in less than 35 minutes. We validated this system by disrupting function of a gene necessary for photoreceptor differentiation and observing decreased response to visual stimuli. CONCLUSIONS This automated method along with VIZN allows rapid, high-throughput, in vivo testing of Zebrafish's ability to respond to light/dark stimuli. This allows the rapid analysis of novel genes involved in visual function by morpholino, CRISPRS, or small-molecule drug screens. Developmental Dynamics 245:605-613, 2016. © 2016 Wiley Periodicals, Inc.
- Subjects :
- 0301 basic medicine
Startle response
Visual perception
genetic structures
Morpholino
medicine.diagnostic_test
biology
biology.organism_classification
ZebraBox
03 medical and health sciences
030104 developmental biology
0302 clinical medicine
In vivo
High-Throughput Screening Assays
medicine
Neuroscience
Zebrafish
030217 neurology & neurosurgery
Function (biology)
Developmental Biology
Subjects
Details
- ISSN :
- 10588388
- Volume :
- 245
- Database :
- OpenAIRE
- Journal :
- Developmental Dynamics
- Accession number :
- edsair.doi...........89cf07013a9712d5e7b01b9847ca1c93