Comparative Expression of Ncrnas in Psoriasis Plaque By Bioinformatics Method

Background and aim: introduction: psoriasis is an inflammatory skin disease characterized by hyperplasia of keratinocytes, epidermis thickness, and the penetration of t cells and leukocytes into the dermis. recent advances of transcriptional profiling technologies provides the ability of simultaneously obtain an enormous amount of information of ncrnas in order to identify complex disease, molecular pathways and biomarkers. in this study, we describe sequencing-based transcriptome profiling, provided bioinformatics analysis of ncrna transcripts. methods: methods: lncrnas were compared between 18 psoriatic patients punch biopsies and 16 normal skin samples of gse74697. also sorted keratinocytes of 9 helthy skin and 9 pesoriasis lesional skin of gse129373 were compared in order to investigate mirnas in these groups. differentially expressed ncrnas were identified under the criteria of a minimum one log-fold change and adjp<0.05 to be significant. pathway enrichment analysis and regulatory network were performed using online databases. multiple data bases was used to analyze the target genes of the differentially expressed ncrnas. results: results: considering a minimum one log-fold change significant, our data exhibit 86 lncrna and 15 mirna with different expression pattern. pathway analysis of lncrnas revealed that short-chain fatty acid metabolism could be one of the top pathways associated with psoriasis. sphingolipid signaling pathway andpi3k/akt signaling pathway were some of the top pathways appeared in the analysis of mirnas. however, interestingly there were in common pathways in the analysis of lncrnas and mirnas. conclusion: conclusion: in this study we try to find out the roles of ncrnas in psoriasis. given that psoriasis is a multifactorial and multigenic disease, understanding the role of ncrnas may help us to get a better perspective of this complex disease.