文章基本信息

标题：Transcriptomic profiling of rat liver samples in a comprehensive study design by RNA-Seq
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作者：Binsheng Gong ; Charles Wang ; Zhenqiang Su 等
期刊名称：Scientific Data
电子版ISSN：2052-4463
出版年度：2014
卷号：1
DOI：10.1038/sdata.2014.21
语种：English
出版社：Nature Publishing Group
摘要：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.