Related Experiment Video
Updated: Feb 17, 2026

10:16
Mining Spatial Transcriptomics Datasets using DeepSpaceDB
Published on: September 5, 2025
821
An RNA-Seq atlas of gene expression in mouse and rat normal tissues
Julia F Söllner1,2, German Leparc1, Tobias Hildebrandt1
1Target Discovery, Research Boehringer Ingelheim Pharma GmbH & CoKG, Biberach 88397, Germany.
Scientific Data
|December 13, 2017
Summary
This study presents a comprehensive RNA-Seq dataset for mouse and rat tissues, revealing conserved gene expression patterns across species. This resource aids comparative genomics and understanding gene function in mammals.
Area of Science:
- Genomics
- Transcriptomics
- Comparative Biology
Background:
- Gene function is linked to expression specificity.
- RNA-Sequencing (RNA-Seq) is vital for genome-wide expression analysis.
Purpose of the Study:
- To create a comprehensive RNA-Seq dataset for 13 tissues in mice and rats.
- To facilitate comparative genomics and analysis of cross-species gene expression conservation.
Main Methods:
- RNA-Sequencing of 13 tissues from male C57BL6 mice and male Han Wistar rats.
- Bioinformatics pipeline for data processing and validation.
- Principal Component Analysis and comparative genomics.
Main Results:
- Generated a unique transcriptome dataset for mouse and rat tissues.
- Tissue samples clustered similarly by Principal Component Analysis.
- Identified conserved tissue distribution profiles for genes with high sequence identity to human orthologs.
Conclusions:
- The study provides a valuable resource for comparative genomics research.
- Facilitates analysis of tissue specificity and cross-species gene conservation.
- Supports understanding of gene function in higher organisms.

