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An RNA-Seq atlas of gene expression in mouse and rat normal tissues
Gene functionality is closely connected to its expression specificity across tissues and cell types. RNA-Seq is a powerful quantitative tool to explore genome wide expression. The aim of this study is to provide a comprehensive RNA-Seq dataset across the same 13 tissues for mouse and rat, two of the...
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Published in: | Scientific data 2017-12, Vol.4 (1), p.170185-170185, Article 170185 |
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Main Authors: | , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Gene functionality is closely connected to its expression specificity across tissues and cell types. RNA-Seq is a powerful quantitative tool to explore genome wide expression. The aim of this study is to provide a comprehensive RNA-Seq dataset across the same 13 tissues for mouse and rat, two of the most relevant species for biomedical research. The dataset provides the transcriptome across tissues from three male C57BL6 mice and three male Han Wistar rats. We also describe our bioinformatics pipeline to process and technically validate the data. Principal component analysis shows that tissue samples from both species cluster similarly. We show by comparative genomics that many genes with high sequence identity with respect to their human orthologues also have a highly correlated tissue distribution profile and are in agreement with manually curated literature data for human. In summary, the present study provides a unique resource for comparative genomics and will facilitate the analysis of tissue specificity and cross-species conservation in higher organisms.
Design Type(s)
species comparison design • organism part comparison design
Measurement Type(s)
transcription profiling assay
Technology Type(s)
RNA sequencing
Factor Type(s)
Species • animal body part
Sample Characteristic(s)
Mus musculus • Rattus norvegicus • brain • colon • duodenum • esophagus • heart • ileum • jejunum • kidney • liver • pancreas • quadriceps femoris • stomach • thymus
Machine-accessible metadata file describing the reported data
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ISSN: | 2052-4463 2052-4463 |
DOI: | 10.1038/sdata.2017.185 |