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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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Bibliographic Details
Published in:Scientific data 2017-12, Vol.4 (1), p.170185-170185, Article 170185
Main Authors: Söllner, Julia F., Leparc, German, Hildebrandt, Tobias, Klein, Holger, Thomas, Leo, Stupka, Elia, Simon, Eric
Format: Article
Language:English
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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 (ISA-Tab format)
ISSN:2052-4463
2052-4463
DOI:10.1038/sdata.2017.185