PUBLICATION

An optimised pipeline for parallel image-based quantification of gene expression and genotyping after in situ hybridisation.

Authors
Dobrzycki, T., Krecsmarik, M., Bonkhofer, F., Patient, R., Monteiro, R.
ID
ZDB-PUB-180315-2
Date
2018
Source
Biology Open   7(4): (Journal)
Registered Authors
Monteiro, Rui, Patient, Roger K.
Keywords
Bias, Genotyping, Image quantification, Mutant, Zebrafish
MeSH Terms
none
PubMed
29535102 Full text @ Biol. Open
Abstract
Advances in genome engineering have resulted in the generation of numerous zebrafish mutant lines. A commonly used method to assess gene expression in the mutants is in situ hybridisation (ISH). Because the embryos can be distinguished by genotype after ISH, comparing gene expression between wild-type and mutant siblings can be done blinded and in parallel. Such experimental design reduces the technical variation between samples and minimises the risk of bias. This approach, however, requires an efficient method of genomic DNA extraction from post-ISH fixed zebrafish samples to ascribe phenotype to genotype. Here we describe a method to obtain PCR-quality DNA from 95-100% of zebrafish embryos, suitable for genotyping after ISH. In addition, we provide an image analysis protocol for quantifying gene expression of ISH-probed embryos, adaptable for the analysis of different expression patterns. Finally, we show that intensity-based image analysis enables accurate representation of the variability of gene expression detected by ISH and that it can complement quantitative methods like qRT-PCR. By combining genotyping after ISH and computer-based image analysis, we have established a high-confidence, unbiased methodology to assign gene expression levels to specific genotypes, and applied it to the analysis of molecular phenotypes of newly generated lmo4a mutants.
Genes / Markers
Figures
Show all Figures
Expression
Phenotype
Mutations / Transgenics
Human Disease / Model
Sequence Targeting Reagents
Fish
Antibodies
Orthology
Engineered Foreign Genes
Mapping