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Comprehensive microRNA-seq transcriptomic profiling across 11 organs, 4 ages, and 2 sexes of Fischer 344 rats
Rat is one of the most widely-used models in chemical safety evaluation and biomedical research. However, the knowledge about its microRNA (miRNA) expression patterns across multiple organs and various developmental stages is still limited. Here, we constructed a comprehensive rat miRNA expression B...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9098487/ https://www.ncbi.nlm.nih.gov/pubmed/35551205 http://dx.doi.org/10.1038/s41597-022-01285-7 |
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author | Yao, Xintong Sun, Shanyue Zi, Yi Liu, Yaqing Yang, Jingcheng Ren, Luyao Chen, Guangchun Cao, Zehui Hou, Wanwan Song, Yueqiang Shang, Jun Jiang, He Li, Zhihui Wang, Haiyan Zhang, Peipei Shi, Leming Li, Quan-Zhen Yu, Ying Zheng, Yuanting |
author_facet | Yao, Xintong Sun, Shanyue Zi, Yi Liu, Yaqing Yang, Jingcheng Ren, Luyao Chen, Guangchun Cao, Zehui Hou, Wanwan Song, Yueqiang Shang, Jun Jiang, He Li, Zhihui Wang, Haiyan Zhang, Peipei Shi, Leming Li, Quan-Zhen Yu, Ying Zheng, Yuanting |
author_sort | Yao, Xintong |
collection | PubMed |
description | Rat is one of the most widely-used models in chemical safety evaluation and biomedical research. However, the knowledge about its microRNA (miRNA) expression patterns across multiple organs and various developmental stages is still limited. Here, we constructed a comprehensive rat miRNA expression BodyMap using a diverse collection of 320 RNA samples from 11 organs of both sexes of juvenile, adolescent, adult and aged Fischer 344 rats with four biological replicates per group. Following the Illumina TruSeq Small RNA protocol, an average of 5.1 million 50 bp single-end reads was generated per sample, yielding a total of 1.6 billion reads. The quality of the resulting miRNA-seq data was deemed to be high from raw sequences, mapped sequences, and biological reproducibility. Importantly, aliquots of the same RNA samples have previously been used to construct the mRNA BodyMap. The currently presented miRNA-seq dataset along with the existing mRNA-seq dataset from the same RNA samples provides a unique resource for studying the expression characteristics of existing and novel miRNAs, and for integrative analysis of miRNA-mRNA interactions, thereby facilitating better utilization of rats for biomarker discovery. |
format | Online Article Text |
id | pubmed-9098487 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-90984872022-05-14 Comprehensive microRNA-seq transcriptomic profiling across 11 organs, 4 ages, and 2 sexes of Fischer 344 rats Yao, Xintong Sun, Shanyue Zi, Yi Liu, Yaqing Yang, Jingcheng Ren, Luyao Chen, Guangchun Cao, Zehui Hou, Wanwan Song, Yueqiang Shang, Jun Jiang, He Li, Zhihui Wang, Haiyan Zhang, Peipei Shi, Leming Li, Quan-Zhen Yu, Ying Zheng, Yuanting Sci Data Data Descriptor Rat is one of the most widely-used models in chemical safety evaluation and biomedical research. However, the knowledge about its microRNA (miRNA) expression patterns across multiple organs and various developmental stages is still limited. Here, we constructed a comprehensive rat miRNA expression BodyMap using a diverse collection of 320 RNA samples from 11 organs of both sexes of juvenile, adolescent, adult and aged Fischer 344 rats with four biological replicates per group. Following the Illumina TruSeq Small RNA protocol, an average of 5.1 million 50 bp single-end reads was generated per sample, yielding a total of 1.6 billion reads. The quality of the resulting miRNA-seq data was deemed to be high from raw sequences, mapped sequences, and biological reproducibility. Importantly, aliquots of the same RNA samples have previously been used to construct the mRNA BodyMap. The currently presented miRNA-seq dataset along with the existing mRNA-seq dataset from the same RNA samples provides a unique resource for studying the expression characteristics of existing and novel miRNAs, and for integrative analysis of miRNA-mRNA interactions, thereby facilitating better utilization of rats for biomarker discovery. Nature Publishing Group UK 2022-05-12 /pmc/articles/PMC9098487/ /pubmed/35551205 http://dx.doi.org/10.1038/s41597-022-01285-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Descriptor Yao, Xintong Sun, Shanyue Zi, Yi Liu, Yaqing Yang, Jingcheng Ren, Luyao Chen, Guangchun Cao, Zehui Hou, Wanwan Song, Yueqiang Shang, Jun Jiang, He Li, Zhihui Wang, Haiyan Zhang, Peipei Shi, Leming Li, Quan-Zhen Yu, Ying Zheng, Yuanting Comprehensive microRNA-seq transcriptomic profiling across 11 organs, 4 ages, and 2 sexes of Fischer 344 rats |
title | Comprehensive microRNA-seq transcriptomic profiling across 11 organs, 4 ages, and 2 sexes of Fischer 344 rats |
title_full | Comprehensive microRNA-seq transcriptomic profiling across 11 organs, 4 ages, and 2 sexes of Fischer 344 rats |
title_fullStr | Comprehensive microRNA-seq transcriptomic profiling across 11 organs, 4 ages, and 2 sexes of Fischer 344 rats |
title_full_unstemmed | Comprehensive microRNA-seq transcriptomic profiling across 11 organs, 4 ages, and 2 sexes of Fischer 344 rats |
title_short | Comprehensive microRNA-seq transcriptomic profiling across 11 organs, 4 ages, and 2 sexes of Fischer 344 rats |
title_sort | comprehensive microrna-seq transcriptomic profiling across 11 organs, 4 ages, and 2 sexes of fischer 344 rats |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9098487/ https://www.ncbi.nlm.nih.gov/pubmed/35551205 http://dx.doi.org/10.1038/s41597-022-01285-7 |
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