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Transcriptomic profiling of rat liver samples in a comprehensive study design by RNA-Seq
RNA-Seq provides the capability to characterize the entire transcriptome in multiple levels including gene expression, allele specific expression, alternative splicing, fusion gene detection, and etc. The US FDA-led SEQC (i.e., MAQC-III) project conducted a comprehensive study focused on the transcr...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4322565/ https://www.ncbi.nlm.nih.gov/pubmed/25977778 http://dx.doi.org/10.1038/sdata.2014.21 |
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author | Gong, Binsheng Wang, Charles Su, Zhenqiang Hong, Huixiao Thierry-Mieg, Jean Thierry-Mieg, Danielle Shi, Leming Auerbach, Scott S. Tong, Weida Xu, Joshua |
author_facet | Gong, Binsheng Wang, Charles Su, Zhenqiang Hong, Huixiao Thierry-Mieg, Jean Thierry-Mieg, Danielle Shi, Leming Auerbach, Scott S. Tong, Weida Xu, Joshua |
author_sort | Gong, Binsheng |
collection | PubMed |
description | RNA-Seq provides the capability to characterize the entire transcriptome in multiple levels including gene expression, allele specific expression, alternative splicing, fusion gene detection, and etc. The US FDA-led SEQC (i.e., MAQC-III) project conducted a comprehensive study focused on the transcriptome profiling of rat liver samples treated with 27 chemicals to evaluate the utility of RNA-Seq in safety assessment and toxicity mechanism elucidation. The chemicals represented multiple chemogenomic modes of action (MOA) and exhibited varying degrees of transcriptional response. The paired-end 100 bp sequencing data were generated using Illumina HiScanSQ and/or HiSeq 2000. In addition to the core study, six animals (i.e., three aflatoxin B1 treated rats and three vehicle control rats) were sequenced three times, with two separate library preparations on two sequencing machines. This large toxicogenomics dataset can serve as a resource to characterize various aspects of transcriptomic changes (e.g., alternative splicing) that are byproduct of chemical perturbation. |
format | Online Article Text |
id | pubmed-4322565 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-43225652015-05-14 Transcriptomic profiling of rat liver samples in a comprehensive study design by RNA-Seq Gong, Binsheng Wang, Charles Su, Zhenqiang Hong, Huixiao Thierry-Mieg, Jean Thierry-Mieg, Danielle Shi, Leming Auerbach, Scott S. Tong, Weida Xu, Joshua Sci Data Data Descriptor RNA-Seq provides the capability to characterize the entire transcriptome in multiple levels including gene expression, allele specific expression, alternative splicing, fusion gene detection, and etc. The US FDA-led SEQC (i.e., MAQC-III) project conducted a comprehensive study focused on the transcriptome profiling of rat liver samples treated with 27 chemicals to evaluate the utility of RNA-Seq in safety assessment and toxicity mechanism elucidation. The chemicals represented multiple chemogenomic modes of action (MOA) and exhibited varying degrees of transcriptional response. The paired-end 100 bp sequencing data were generated using Illumina HiScanSQ and/or HiSeq 2000. In addition to the core study, six animals (i.e., three aflatoxin B1 treated rats and three vehicle control rats) were sequenced three times, with two separate library preparations on two sequencing machines. This large toxicogenomics dataset can serve as a resource to characterize various aspects of transcriptomic changes (e.g., alternative splicing) that are byproduct of chemical perturbation. Nature Publishing Group 2014-08-26 /pmc/articles/PMC4322565/ /pubmed/25977778 http://dx.doi.org/10.1038/sdata.2014.21 Text en Copyright © 2014, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0 This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0 Metadata associated with this Data Descriptor is available at http://www.nature.com/sdata/ and is released under the CC0 waiver to maximize reuse. |
spellingShingle | Data Descriptor Gong, Binsheng Wang, Charles Su, Zhenqiang Hong, Huixiao Thierry-Mieg, Jean Thierry-Mieg, Danielle Shi, Leming Auerbach, Scott S. Tong, Weida Xu, Joshua Transcriptomic profiling of rat liver samples in a comprehensive study design by RNA-Seq |
title | Transcriptomic profiling of rat liver samples in a comprehensive study design by RNA-Seq |
title_full | Transcriptomic profiling of rat liver samples in a comprehensive study design by RNA-Seq |
title_fullStr | Transcriptomic profiling of rat liver samples in a comprehensive study design by RNA-Seq |
title_full_unstemmed | Transcriptomic profiling of rat liver samples in a comprehensive study design by RNA-Seq |
title_short | Transcriptomic profiling of rat liver samples in a comprehensive study design by RNA-Seq |
title_sort | transcriptomic profiling of rat liver samples in a comprehensive study design by rna-seq |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4322565/ https://www.ncbi.nlm.nih.gov/pubmed/25977778 http://dx.doi.org/10.1038/sdata.2014.21 |
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