4.7 Article

CircR2Disease v2.0: An Updated Web Server for Experimentally Validated circRNA-disease Associations and Its Application

期刊

GENOMICS PROTEOMICS & BIOINFORMATICS
卷 20, 期 3, 页码 435-445

出版社

ELSEVIER
DOI: 10.1016/j.gpb.2021.10.002

关键词

circRNA; circRNA-disease; association; Graph convolutional; network; Gradient boosting decision; tree; Machine learning

资金

  1. National Natural Science Foundation of China [61972451, 61672334, 61902230]
  2. Fundamental Research Funds for the Central Universities [GK201901010]

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CircR2Disease v2.0 is an updated database that provides a comprehensive resource and web tool for the relationships between circular RNAs (circRNAs) and diseases. This version includes a significantly increased number of experimentally validated circRNA-disease associations and manually collected information on circRNA-miRNA, circRNA-miRNA-target, and circRNA-RBP interactions. It also provides links to various nomenclature databases for gene symbols and disease name IDs. Detailed descriptions and sample information have been integrated into the updated version. CircR2Disease v2.0 serves as a platform for systematic investigation of dysregulated circRNAs in various diseases and exploration of their posttranscriptional regulatory function in diseases.
With accumulating dysregulated circular RNAs (circRNAs) in pathological processes, the regulatory functions of circRNAs, especially circRNAs as microRNA (miRNA) sponges and their interactions with RNA-binding proteins (RBPs), have been widely validated. However, the collected information on experimentally validated circRNA-disease associations is only preliminary. Therefore, an updated CircR2Disease database providing a comprehensive resource and web tool to clarify the relationships between circRNAs and diseases in diverse species is necessary. Here, we present an updated CircR2Disease v2.0 with the increased number of circRNA-disease associations and novel characteristics. CircR2Disease v2.0 provides more than 5-fold experimentally validated circRNA-disease associations compared to its previous version. This version includes 4201 entries between 3077 circRNAs and 312 disease subtypes. Secondly, the information of circRNA-miRNA, circRNA-miRNA-target, and circRNA-RBP interactions has been manually collected for various diseases. Thirdly, the gene symbols of circRNAs and disease name IDs can be linked with various nomenclature databases. Detailed descriptions such as samples and journals have also been integrated into the updated version. Thus, CircR2Disease v2.0 can serve as a platform for users to systematically investigate the roles of dysregulated circRNAs in various diseases and further explore the posttranscriptional regulatory function in diseases. Finally, we propose a computational method named circDis based on the graph convolutional network (GCN) and gradient boosting decision tree (GBDT) to illustrate the applications of the CircR2Disease v2.0 database. CircR2Disease v2.0 is available at http://bioinfo.snnu.edu.cn/CircR2Disease_v2.0 and https://github.com/bioinforlab/CircR2Disease-v2.0.

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