EyeMirDB: a Web-Based Platform of Experimentally Supported Eye Disease-miRNA Information

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Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
Background

Studies of microRNA biology have increased in numerous scientific research domains, including eye science. MicroRNAs (miRNAs) are small non-coding RNAs that operate as post-transcriptional regulators of gene expression by destroying or blocking the translation of target messenger RNA. Despite significant efforts to investigate the miRNA of eye disease, a complete platform of frequent ocular disease with genes, pathways, and miRNA is still unavailable.

Material and Methods

Three well-known databases were used as the main data source: DisGeNET, OMIM, and KEGG. The curated genes involved in each disease were manually collected. Then, the annotation information like gene’s sequence, description, chromosome’s number, start and end loci were extracted from the Ensembl data source. Gene’s pathway information was earned from KEGG and Reactome. Finally, experimentally validated gene’s related miRNA has been collected from miRecords, miRTarBase, and TarBase. In order to consider miRNAs expression in ocular tissues.

Results

we present EyeMirDB (http://eyemirdb.databanks.behrc.ir/), a web-based platform of consisting of all predicted and validated miRNAs. Information on the annotation of miRNA-related genes was also collected in order to better understand the effects of miRNA. Pathways by which these genes are active were also identified. Right now, EyeMirDB contains 429 curated genes, 1258 pathways, and 2596 validated miRNAs of 25 prevalent ocular diseases.

Conclusion

We introduce EyeMirDB, a web-based platform of Eye diseases-related interactions including disease-gene, gene-miRNA, gene-pathway curated information, and annotations, with the optionality of studying all these entities from different viewpoints. This data portal is a good entry point for ocular disease researchers.

Language:
English
Published:
Journal of Ophthalmic and Optometric Sciences, Volume:4 Issue: 3, Summer 2020
Pages:
32 to 41
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