PUBLICATION

"Zebrafishing" for Novel Genes Relevant to the Glomerular Filtration Barrier

Authors
Hanke, N., Staggs, L., Schroder, P., Litteral, J., Fleig, S., Kaufeld, J., Pauli, C., Haller, H., and Schiffer, M.
ID
ZDB-PUB-131112-17
Date
2013
Source
BioMed Research International   2013: 658270 (Review)
Registered Authors
Keywords
none
MeSH Terms
  • Animals
  • Disease Models, Animal
  • Glomerular Filtration Barrier/metabolism
  • Glomerular Filtration Barrier/pathology*
  • Humans
  • Kidney Diseases/genetics*
  • Kidney Diseases/pathology
  • Membrane Proteins/genetics*
  • Morpholinos/genetics
  • Zebrafish/genetics*
PubMed
24106712 Full text @ Biomed Res. Int.
Abstract

Data for genes relevant to glomerular filtration barrier function or proteinuria is continually increasing in an era of microarrays, genome-wide association studies, and quantitative trait locus analysis. Researchers are limited by published literature searches to select the most relevant genes to investigate. High-throughput cell cultures and other in vitro systems ultimately need to demonstrate proof in an in vivo model. Generating mammalian models for the genes of interest is costly and time intensive, and yields only a small number of test subjects. These models also have many pitfalls such as possible embryonic mortality and failure to generate phenotypes or generate nonkidney specific phenotypes. Here we describe an in vivo zebrafish model as a simple vertebrate screening system to identify genes relevant to glomerular filtration barrier function. Using our technology, we are able to screen entirely novel genes in 4–6 weeks in hundreds of live test subjects at a fraction of the cost of a mammalian model. Our system produces consistent and reliable evidence for gene relevance in glomerular kidney disease; the results then provide merit for further analysis in mammalian models.

Genes / Markers
Figures
Expression
Phenotype
Mutations / Transgenics
Human Disease / Model
Sequence Targeting Reagents
Fish
Antibodies
Orthology
Engineered Foreign Genes
Mapping