%0 Journal Article
%T A Computational Approach To Predict A Novel MicroRNA From The Associated Genes Of Cutaneous Lichen Planus: An Initiation Towards The Discovery Of Therapeutic Biomarkers
%A Harishchander Anandaram
%J Biosensors  Journal | Biomarkers Journal | Open Access Journal
%D 2018
%R 10.15226/2575-6303/3/1/00119
%X In the post genomic era, identifying a novel microRNA (miRNA) from the associated genes of an autoimmune disease and identifying the role of miRNA in the pathways associated with the disease pathology is a challenging task to execute. The challenge was approached by identifying the associated genes of Lichen Planus from DisGeNET followed by the identification of miRNAs from miRTarBase and transcription factors from RegNetwork. Then an association matrix was formed by the combination of genes, miRNAs and transcription factors to illustrate the regulatory network. The regulatory network was subjected to the analysis of graph theory in cytoscape followed by the identification of hub gene and its regulators by the ˇ°radialityˇ± function in cytohubba. Finally the probable regulatory networks were identified on the basis of compatibility in the interaction between the gene and miRNA with respect to seed pairing in miRmap followed by the identification of associated pathways in Enrichr. In this study it was identified that the pathogenesis of cutaneous lichen planus was triggered by the regulatory network of BCL2 and the miRNA hsa-miR- 143-3p regulates BCL2 with transcription factors RELA and NFKB1 and the enrichment analysis of associated genes resulted in the identification of AGE-RAGE signaling pathway on the basis of p value. In future, the detailed mechanism of has-miR-143-3p in cutaneous lichen planus will be studied by reconstructing the AGE-RAGE signaling pathway with miRNA and transcription factors. Key words: Computational Approach; MicroRNA; Lichen Planus; Therapeutic Biomarkers
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