Literature DB >> 29231921

An RNA-Seq atlas of gene expression in mouse and rat normal tissues.

Julia F Söllner1,2, German Leparc1, Tobias Hildebrandt1, Holger Klein1, Leo Thomas3, Elia Stupka1, Eric Simon1.   

Abstract

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.

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Year:  2017        PMID: 29231921      PMCID: PMC5726313          DOI: 10.1038/sdata.2017.185

Source DB:  PubMed          Journal:  Sci Data        ISSN: 2052-4463            Impact factor:   6.444


  23 in total

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