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

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...

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Autores principales: Ji, Xiangjun, Li, Peng, Fuscoe, James C, Chen, Geng, Xiao, Wenzhong, Shi, Leming, Ning, Baitang, Liu, Zhichao, Hong, Huixiao, Wu, Jun, Liu, Jinghua, Guo, Lei, Kreil, David P, Łabaj, Paweł P, Zhong, Liping, Bao, Wenjun, Huang, Yong, He, Jian, Zhao, Yongxiang, Tong, Weida, Shi, Tieliu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7470976/
https://www.ncbi.nlm.nih.gov/pubmed/32749457
http://dx.doi.org/10.1093/nar/gkaa638
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author Ji, Xiangjun
Li, Peng
Fuscoe, James C
Chen, Geng
Xiao, Wenzhong
Shi, Leming
Ning, Baitang
Liu, Zhichao
Hong, Huixiao
Wu, Jun
Liu, Jinghua
Guo, Lei
Kreil, David P
Łabaj, Paweł P
Zhong, Liping
Bao, Wenjun
Huang, Yong
He, Jian
Zhao, Yongxiang
Tong, Weida
Shi, Tieliu
author_facet Ji, Xiangjun
Li, Peng
Fuscoe, James C
Chen, Geng
Xiao, Wenzhong
Shi, Leming
Ning, Baitang
Liu, Zhichao
Hong, Huixiao
Wu, Jun
Liu, Jinghua
Guo, Lei
Kreil, David P
Łabaj, Paweł P
Zhong, Liping
Bao, Wenjun
Huang, Yong
He, Jian
Zhao, Yongxiang
Tong, Weida
Shi, Tieliu
author_sort Ji, Xiangjun
collection PubMed
description 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.
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spelling pubmed-74709762020-09-09 A comprehensive rat transcriptome built from large scale RNA-seq-based annotation Ji, Xiangjun Li, Peng Fuscoe, James C Chen, Geng Xiao, Wenzhong Shi, Leming Ning, Baitang Liu, Zhichao Hong, Huixiao Wu, Jun Liu, Jinghua Guo, Lei Kreil, David P Łabaj, Paweł P Zhong, Liping Bao, Wenjun Huang, Yong He, Jian Zhao, Yongxiang Tong, Weida Shi, Tieliu Nucleic Acids Res Data Resources and Analyses 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. Oxford University Press 2020-09-04 2020-08-04 /pmc/articles/PMC7470976/ /pubmed/32749457 http://dx.doi.org/10.1093/nar/gkaa638 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Data Resources and Analyses
Ji, Xiangjun
Li, Peng
Fuscoe, James C
Chen, Geng
Xiao, Wenzhong
Shi, Leming
Ning, Baitang
Liu, Zhichao
Hong, Huixiao
Wu, Jun
Liu, Jinghua
Guo, Lei
Kreil, David P
Łabaj, Paweł P
Zhong, Liping
Bao, Wenjun
Huang, Yong
He, Jian
Zhao, Yongxiang
Tong, Weida
Shi, Tieliu
A comprehensive rat transcriptome built from large scale RNA-seq-based annotation
title A comprehensive rat transcriptome built from large scale RNA-seq-based annotation
title_full A comprehensive rat transcriptome built from large scale RNA-seq-based annotation
title_fullStr A comprehensive rat transcriptome built from large scale RNA-seq-based annotation
title_full_unstemmed A comprehensive rat transcriptome built from large scale RNA-seq-based annotation
title_short A comprehensive rat transcriptome built from large scale RNA-seq-based annotation
title_sort comprehensive rat transcriptome built from large scale rna-seq-based annotation
topic Data Resources and Analyses
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7470976/
https://www.ncbi.nlm.nih.gov/pubmed/32749457
http://dx.doi.org/10.1093/nar/gkaa638
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