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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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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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. |
format | Online Article Text |
id | pubmed-7470976 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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