CircNet: a database of circular RNAs derived from transcriptome sequencing data

Yu‐Chen Liu(National Yang Ming Chiao Tung University), Jianrong Li(National Chung Hsing University), Chuan-Hu Sun(National Chung Hsing University), Erik Andrews(Dartmouth Institute for Health Policy and Clinical Practice), Rou-Fang Chao(National Chung Hsing University), Feng-Mao Lin(National Yang Ming Chiao Tung University), Shun-Long Weng(Mackay Memorial Hospital), Sheng‐Da Hsu(National Yang Ming Chiao Tung University), Chieh‐Chen Huang(National Chung Hsing University), Chao Cheng(Dartmouth College), Chun-Chi Liu(National Chung Hsing University), Hsien‐Da Huang(National Yang Ming Chiao Tung University)
Nucleic Acids Research
October 7, 2015
Cited by 370Open Access
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Abstract

Circular RNAs (circRNAs) represent a new type of regulatory noncoding RNA that only recently has been identified and cataloged. Emerging evidence indicates that circRNAs exert a new layer of post-transcriptional regulation of gene expression. In this study, we utilized transcriptome sequencing datasets to systematically identify the expression of circRNAs (including known and newly identified ones by our pipeline) in 464 RNA-seq samples, and then constructed the CircNet database (http://circnet.mbc.nctu.edu.tw/) that provides the following resources: (i) novel circRNAs, (ii) integrated miRNA-target networks, (iii) expression profiles of circRNA isoforms, (iv) genomic annotations of circRNA isoforms (e.g. 282 948 exon positions), and (v) sequences of circRNA isoforms. The CircNet database is to our knowledge the first public database that provides tissue-specific circRNA expression profiles and circRNA-miRNA-gene regulatory networks. It not only extends the most up to date catalog of circRNAs but also provides a thorough expression analysis of both previously reported and novel circRNAs. Furthermore, it generates an integrated regulatory network that illustrates the regulation between circRNAs, miRNAs and genes.


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