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Sample Preparation and Analysis of RNASeq-based Gene Expression Data from Zebrafish
Published on: October 27, 2017
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Sample Preparation and Analysis of RNASeq-based Gene Expression Data from Zebrafish
Timothy L Hostelley1, Jessica E Nesmith1, Norann A Zaghloul2
1Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine.
Journal of Visualized Experiments : Jove
|November 21, 2017
Summary
This study presents a detailed protocol for analyzing global gene expression in zebrafish embryos using RNA sequencing (RNASeq). This method helps identify novel molecular pathways and gene changes related to observed phenotypes.
Area of Science:
- Developmental Biology
- Genomics
- Molecular Biology
Background:
- Global gene expression analysis aids in identifying novel pathways linked to phenotypes.
- Zebrafish embryos are a suitable model for rapid, whole-transcriptome assessment due to ease of RNA isolation.
Purpose of the Study:
- To present a comprehensive protocol for global gene expression analysis in zebrafish embryos via RNA sequencing (RNASeq).
- To detail methods for RNA preparation, data analysis, and validation using quantitative reverse transcriptase PCR (qRT-PCR).
Main Methods:
- RNA extraction from whole zebrafish embryos or sorted cells from transgenic lines.
- RNA sequencing (RNASeq) for transcriptome-wide gene expression profiling.
- Bioinformatic analysis to identify enriched pathways and Gene Ontology (GO) terms.
- Validation of gene expression changes using quantitative reverse transcriptase PCR (qRT-PCR).
Main Results:
- A robust protocol for RNASeq-based gene expression analysis in zebrafish embryos is established.
- Methods for identifying enriched pathways and GO terms from RNASeq data are described.
- Validation of identified gene expression changes using qRT-PCR is demonstrated.
Conclusions:
- The presented protocols enable comparative analysis of gene expression in zebrafish to uncover molecular insights into phenotypes.
- This approach facilitates the identification of novel gene expression changes and associated biological pathways.

