Abstract

Circular RNAs (circRNAs), a new class of regulatory noncoding RNAs, play important roles in human diseases. While a growing number of circRNAs have been characterized with biological functions, it is necessary to integrate all the information to facilitate studies on circRNA functions and regulatory networks in human diseases. Circ2Disease database contains 273 manually curated associations between 237 circRNAs and 54 human diseases with strong experimental evidence from 120 studies. Each association includes circRNA name, disease name, expression pattern, experimental method, a brief functional description of the circRNA-disease relationship, and other detailed information. The experimentally validated miRNAs that may be ‘sponged up’ by these circRNAs and their validated targets were also integrated to form a comprehensive regulatory network. Circ2Disease provides a user-friendly interface to browse, search, analyze regulatory network and download data. With the rapidly increasing interest in circRNAs, Circ2Disease will significantly improve our understanding of circRNA deregulation in diseases and is a useful resource for studying posttranscriptional regulatory roles of circRNAs in human diseases.

Highlights

  • Circular RNA is a type of RNA molecule which forms a covalently closed continuous loop by back-splicing or lariat[1]

  • Some ciRNAs6 and EIciRNAs11 can interfere with pre-mRNA splicing that is a critical step in the posttranscriptional regulation of gene expression

  • If any miRNAs that are sponged by circRNAs were validated experimentally, their miRNA targets, RNA binding protein (RBP) and other up- or down-stream regulatory genes were retrieved from literature

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Summary

Introduction

Circular RNA (circRNA) is a type of RNA molecule which forms a covalently closed continuous loop by back-splicing or lariat[1]. CircNet utilized transcriptome sequencing datasets to identify the expression of circRNAs21 Another database Circ2Traits studied the potential association of circRNAs with human traits and mapped trait related SNPs on circRNA loci[19]. In addition to these large-scale studies, individual or specific circRNA deregulation in various diseases have been reported rapidly. With a user-friendly interface, users can browse, search, analyze regulatory network and download detailed information for each entry We hope that this database can help in pushing forward the studies of circRNA-disease associations in the research community

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