Identification of Novel Genes in Osteoarthritic Fibroblast-Like Synoviocytes Using Next-Generation Sequencing and Bioinformatics Approaches.

摘要: Synovitis in osteoarthritis (OA) the consequence of low grade inflammatory process caused by cartilage breakdown products that stimulated production pro-inflammatory mediators fibroblast-like synoviocytes (FLS). FLS participate joint homeostasis and inflammation microenvironment triggers transformation. In current study, we aimed to identify differentially expressed genes potential miRNA regulations human OA through deep sequencing bioinformatics approaches. The 245 were identified, pathway analysis using various databases indicated their enrichment functions related altered extracellular matrix organization, cell adhesion cellular movement. Moreover, among 14 dysregulated with src kinase associated phosphoprotein 2 (SKAP2), adaptor protein complex 1 sigma subunit (AP1S2), PHD finger 21A (PHF21A), lipoma preferred partner (LPP), transcription factor AP-2 alpha (TFAP2A) showed similar expression patterns synovial tissue datasets Gene Expression Omnibus database. Ingenuity Pathway Analysis identified LPP participated migration spreading FLS, which was potentially regulated miR-141-3p. findings suggested new perspectives into understanding novel molecular signatures involved pathogenesis OA, may be therapeutic targets.