Bioinformatic analysis of systemic lupus erythematosus based on miRNA microarray

Abstract

Objective To analyze the differential expressions of miRNA in monocyte derived dendritic cells (moDCs) from systemic lupus erythematosus (SLE) patients and healthy people by bioinformatic analysis. Methods The GSE79240 dataset was downloaded from the gene expression omnibus (GEO) database, differential miRNAs were screened by R language. Funrich software was used to analyze the gene ontology (GO) enrichment, Kyoto encyclopedia of genes and genomes (KEGG) pathway enrichment and transcription factors. MiRTarBase database was used to predict target genes. Results A total of 19 differential miRNAs were screened out,of which 11 were up-regulated and 8 were down-regulated.Biological process of GO enrichment was enriched in signal transduction and cell communication; cellular component of GO enrichment was enriched in nucleus and cytoplasm; molecular function of GO enrichment was expressed in transcription factor activity, ubiquitin-specific protease activity and receptor signalling complex scaffold activity. KEGG pathway was shown mainly in glypican signalling pathway, TRAIL signalling pathway and S1P signalling pathway. The transcription factors related to miRNA mainly included: SP1, SP4, EGR1 and POU2F1. Forteen miRNAs have been experimentally verified to have target genes. Conclusions The differential miRNAs in moDCs of SLE patients may play an important role in the pathogenesis of SLE and provide new clue for the diagnosis of SLE.

Keywords

• systemic lupus erythematosus|bioinformatic analysis|dendritic cells|mirna