• Bioinformatics data analysis and signaling pathways related to gene expression profile in clear cell renal cell carcinoma
  • Ehsane Sadat Ameli,1 Mohammad Rezaei,2 Mansoureh Azadeh,3,*
    1. Zist Fnavari Novin Biotecnology Institute
    2. Zist Fnavari Novin Biotecnology Institute
    3. Zist Fanavari Novin Biotechnology Institute


  • Introduction: Clear cell renal cell carcinoma (ccRCC) is the most common solid lesion within kidney, and its prognostic is influenced by the progression covering a complex network of gene interaction [1]. in the last ten years ,research has been moving from being experimented in a real life lab to a virtual lab environment where analysis of data are done[2].
  • Methods: First , the gene expression data of ccRCC disease (GSE168845) received from Gene Expression Omnibus (GEO) database and then used GEO2R to find the expressed genes and analysis . then, for check potential correlation between the found gene and clear cell renal cell carcinoma disease used to ENCORI[3] and GEPIA2[4] databases . next to found worthy pathways signaling and ontologies used Enrichr [5] and for finding interactions between protein-protein used from String[6] . also for checking the interactions of mRNA-miRNA in 3`UTR , LncRNA-mRNA , LncRNA-miRNA and used miRWalk [7] , LncRRIsearch[8] and Lncbase.v3[9] data bases in order.
  • Results: The gene that called PTGER3 was found by analyzing data of GEO data base and found out that the expression was significantly reduced in ccRCC. ( Log FC = -9.78 and adj.p.val = 1.43E-08 ). The prostaglandin EP3 receptor, also known as ep3, is a prostaglandin receptor for prostaglandin E2 (PGE2) that encoded by the human gene PTGER3 . this receptor may have many functions which involve digestion , nervous system and kidney reabsorption activities .[10] . The EP3 receptor is expressed in vessels as well as in the thick ascending limb and collecting duct, where it antagonizes vasopressin-stimulated salt and water transport. There for, PTGER3 involved in prostaglandin E receptor activity and also the regulation of lipolysis in adipocytes and negative regulation of secretion that related to renal cancer. The analysis of potential miRNA-mRNA interaction indicated hsa-miR-6837-5p as possibility significant factor for intended gene mRNA. In LncRRIsearch resulted good interaction between KCNQ1QT1 , LINC01239 and TSIX LncRNAs and mRNA. At last , searched hsa-miR-6794-5p miRNA in LncBase.v3 and found a potential intraction for AL160006.1 LncRNA .
  • Conclusion: There for, PTGER3 is low expression gene in ccRCC cancer and had strong interaction between KCNQ1QT1 , LINC01239 and TSIX and has-miR-6837-5p and possibility interaction between has-miR-6794-5p and AL160006.1.
  • Keywords: Clear cell renal cell carcinoma , Cancer , PTGER3 , Micro array