1st International and 10th National Iranian Conference on Bioinformatics

miRDisNet: A Meta-Database of miRNA, lncRNA and circRNA-Disease Association Resources With Graph Presentation

Paper ID : 1284-ICB10

Authors:

Mohammad Hasan Jafari Najaf Abadi, Seyed Hamid Aghaee Bakhtiari *

گروه زیست فناوری و نانوفناوری پزشکی، دانشکده پزشکی، دانشگاه علوم پزشکی مشهد، مشهد، ایران

Abstract:

Nowadays, the role of ncRNAs, which include miRNAs, lncRNAs and circRNAs in the beginning, and progression of various diseases has been fully proven. Today, these molecules are used for prognosis, diagnosis, drug response and therapy in various diseases. Because of the importance of these molecules, many databases have been created to store ncRNA-related communications. Most of these databases are limited to relations of a single type of disease like immune disease or cancer or single category of ncRNAs. Therefore, researchers have to go to many databases and combine the data manually to achieve desired result. Moreover, due to several names for a unique disease and differences in the naming of the same disease in various databases and the diverse naming of miRNAs in different versions of miRBase, this is more difficult and the data loss is very probable. We combined the information of 17 existing databases including miRNA (BioM2MetDisease, Cardio_ncRNA, DMPred, EpimiR, HMDD, ImmunemiR, miR2Disease, miRandola, miRCancer, miREnvironment, OncomiR and PhenomiR), lncRNA (Cardio_ncRNA, Lnc2Cancer and LncRNADisease) and circRNA (circRNAdb) and minimize the loss of data by uniforming the names of diseases and miRNAs. In this research, we provide for the first time a simultaneous search for multiple ncRNAs and diseases for users, which can see the results as an intersection or union. In addition, we analyze the upregulation or downregulation of a specific ncRNA in a disease. Due to the complexity of the relationship in ncRNA-disease, tables cannot present the desired results but graphs are more suitable items that broadly used in the systems biology to display and analyze the complex networks. In this study, results will be displayed in graphs and help to provide researchers with a variety of filters to achieve results that are more favorable. miRDisNet is accessible via http://mirdisnet.ir/.

Keywords:

miRNA; lncRNAs; circRNA; ncRNA-Disease Association; miRDisNet; Graph presentation

Status : Paper Accepted (Poster Presentation)