PUBLICATION
Disaggregation and Reaggregation of Zebrafish Retinal Cells for the Analysis of Neuronal Layering
- Authors
- Eldred, M.K., Muresan, L., Harris, W.A.
- ID
- ZDB-PUB-170716-3
- Date
- 2017
- Source
- Methods in molecular biology (Clifton, N.J.) : (Other)
- Registered Authors
- Harris, William A.
- Keywords
- 3D Petri dish, Aggregation, Isocontour profiling, Müller Glia, Organoid, Retina, Self-organization, SoFa, Zebrafish
- MeSH Terms
-
- Animals
- Animals, Genetically Modified/genetics
- Animals, Genetically Modified/metabolism*
- Cell Aggregation
- Cell Differentiation*
- Cell Proliferation
- Luminescent Proteins/metabolism
- Neurons/cytology*
- Neurons/metabolism
- Retina/cytology*
- Retina/metabolism
- Zebrafish/genetics
- Zebrafish/metabolism*
- PubMed
- 28710687 Full text @ Meth. Mol. Biol.
Citation
Eldred, M.K., Muresan, L., Harris, W.A. (2017) Disaggregation and Reaggregation of Zebrafish Retinal Cells for the Analysis of Neuronal Layering. Methods in molecular biology (Clifton, N.J.). .
Abstract
The reaggregation of dissociated cells to form organotypic structures provides an in vitro system for the analysis of the cellular interactions and molecular mechanisms involved in the formation of tissue architecture. The retina, an outgrowth of the forebrain, is a precisely layered neural tissue, yet the mechanisms underlying layer formation are largely unexplored. Here we describe the protocol to dissociate, re-aggregate, and culture zebrafish retinal cells from a transgenic, Spectrum of Fates, line where all main cell types are labelled with a combination of fluorescent proteins driven by fate-specific promoters. These cells re-aggregate and self-organize in just 48 h in minimal culture conditions. We also describe how the patterning in these aggregates can be analyzed using isocontour profiling to compare whether different conditions affect their self-organization.
Genes / Markers
Expression
Phenotype
Mutations / Transgenics
Human Disease / Model
Sequence Targeting Reagents
Fish
Orthology
Engineered Foreign Genes
Mapping