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High Resolution Whole Mount In Situ Hybridization within Zebrafish Embryos to Study Gene Expression and Function
Published on: October 19, 2013
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A high-resolution mRNA expression time course of embryonic development in zebrafish
Richard J White1, John E Collins1, Ian M Sealy1
1Wellcome Trust Sanger Institute, Hinxton, United Kingdom.
Elife
|November 17, 2017
Summary
This study maps mRNA expression during zebrafish development from single cells to five days post-fertilisation. Researchers identified thousands of genes with distinct temporal expression patterns, including novel zinc finger genes active during genome activation.
Area of Science:
- Developmental Biology
- Genomics
- Transcriptomics
Background:
- Understanding gene expression dynamics is crucial for deciphering developmental processes.
- Zebrafish (Danio rerio) serve as a powerful model organism for studying vertebrate development.
Purpose of the Study:
- To create a comprehensive mRNA expression time course of zebrafish development.
- To characterize temporal expression profiles and identify genes with specific developmental roles.
- To provide a valuable public resource for developmental biology research.
Main Methods:
- RNA sequencing (RNA-seq) was performed on zebrafish embryos at 18 distinct time points (1 cell to 5 days post-fertilisation).
- Poly(A) pulldown and stranded RNA-seq with 3' end transcript counting were employed.
- Analysis focused on temporal expression profiles of over 23,000 genes.
Main Results:
- Temporal expression profiles for 23,642 genes were characterized.
- 5,024 previously unnamed genes were associated with specific developmental time points based on co-variance.
- A novel set of over 100 zinc finger genes showed peak expression during zygotic genome activation.
- New genes, transcripts, alternative exon usage, novel 3' ends, primary microRNAs, and divergent gene paralogs were identified.
Conclusions:
- This study provides an unprecedented baseline reference for zebrafish gene expression during early development.
- The identified temporal gene expression patterns and novel genes offer insights into developmental regulation.
- The dataset is publicly accessible, facilitating future research in developmental genomics and transcriptomics.

