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A comprehensive rat transcriptome built from large scale RNA-seq-based annotation

  • Xiangjun Ji
  • , Peng Li
  • , James C. Fuscoe
  • , Geng Chen
  • , Wenzhong Xiao
  • , Leming Shi
  • , Baitang Ning
  • , Zhichao Liu
  • , Huixiao Hong
  • , Jun Wu
  • , Jinghua Liu
  • , Lei Guo
  • , David P. Kreil
  • , Paweł P. Łabaj
  • , Liping Zhong
  • , Wenjun Bao
  • , Yong Huang
  • , Jian He
  • , Yongxiang Zhao*
  • , Weida Tong
  • Tieliu Shi
*Corresponding author for this work
  • Center for Bioinformatics and Computational Biology
  • East China Normal University
  • School of Basic Medical Sciences
  • Southern Medical University
  • Harvard University
  • United States Food and Drug Administration
  • Center for Pharmacogenomics
  • Fudan University
  • Department of Biotechnology
  • University of Natural Resources and Life Sciences, Vienna
  • Małopolska Centre of Biotechnology
  • Jagiellonian University in Kraków
  • Biological Targeting Diagnosis and Therapy Research Center
  • Guangxi Medical University
  • SAS Institute, Inc.
  • Beihang University

Research output: Contribution to journal › Article › peer-review

Abstract

The rat is an important model organism in biomedical research for studying human disease mechanisms and treatments, but its annotated transcriptome is far from complete. We constructed a Rat Transcriptome Re-annotation named RTR using RNA-seq data from 320 samples in 11 different organs generated by the SEQC consortium. Totally, there are 52 807 genes and 114 152 transcripts in RTR. Transcribed regions and exons in RTR account for ∼42% and ∼6.5% of the genome, respectively. Of all 73 074 newly annotated transcripts in RTR, 34 213 were annotated as high confident coding transcripts and 24 728 as high confident long noncoding transcripts. Different tissues rather than different stages have a significant influence on the expression patterns of transcripts. We also found that 11 715 genes and 15 852 transcripts were expressed in all 11 tissues and that 849 house-keeping genes expressed different isoforms among tissues. This comprehensive transcriptome is freely available at http://www.unimd.org/rtr/. Our new rat transcriptome provides essential reference for genetics and gene expression studies in rat disease and toxicity models.

Original languageEnglish
Pages (from-to)8320-8331
Number of pages12
JournalNucleic Acids Research
Volume48
Issue number15
DOIs
StatePublished - 4 Sep 2020

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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