Genome-wide discovery of long intergenic noncoding RNAs and their epigenetic signatures in the rat

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作者
Aimin Li
Zhong-Yin Zhou
Xinhong Hei
Newton O. Otecko
Junying Zhang
Yajun Liu
Hongfang Zhou
Zhiqiang Zhao
Lei Wang
机构
[1] School of Computer Science and Engineering,
[2] Xi’an University of Technology,undefined
[3] State Key Laboratory of Genetic Resources and Evolution,undefined
[4] Kunming Institute of Zoology,undefined
[5] Chinese Academy of Sciences,undefined
[6] Kunming College of Life Science,undefined
[7] University of Chinese Academy of Sciences,undefined
[8] School of Computer Science and Technology,undefined
[9] Xidian University,undefined
[10] Higher Technology College,undefined
[11] Xi’an University of Technology,undefined
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摘要
Long intergenic noncoding RNAs (lincRNAs) play a crucial role in many biological processes. The rat is an important model organism in biomedical research. Recent studies have detected rat lincRNA genes from several samples. However, identification of rat lincRNAs using large-scale RNA-seq datasets remains unreported. Herein, using more than 100 billion RNA-seq reads from 59 publications together with RefSeq and UniGene annotated RNAs, we report 39,154 lincRNA transcripts encoded by 19,162 lincRNA genes in the rat. We reveal sequence and expression similarities in lincRNAs of rat, mouse and human. DNA methylation level of lincRNAs is higher than that of protein-coding genes across the transcription start sites (TSSs). And, three lincRNA genes overlap with differential methylation regions (DMRs) which associate with spontaneously hypertensive disease. In addition, there are similar binding trends for three transcription factors (HNF4A, CEBPA and FOXA1) between lincRNA genes and protein-coding genes, indicating that they harbour similar transcription regulatory mechanisms. To date, this is the most comprehensive assessment of lincRNAs in the rat genome. We provide valuable data that will advance lincRNA research using rat as a model.
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