• Investigation and analysis of MYH11 gene in Bladder cancer cells
  • Fatemeh sadat esbah,1 fatemeh hajizaki,2 Mohammad Rezaei,3 Mansoureh Azadeh,4,*
    1. Zist Fanavari Novin Biotechnology Institute, Isfahan, Iran
    2. Zist Fanavari Novin Biotechnology Institute, Isfahan, Iran
    3. Zist Fanavari Novin Biotechnology Institute, Isfahan, Iran
    4. Zist Fanavari Novin Biotechnology Institute, Isfahan, Iran


  • Introduction: Transitional cell carcinoma, cancer begins in cells in the innermost tissue layer of the bladder. These cells can stretch when the bladder is full and shrink when it is emptied. Most bladder cancers begin in transitional cells. Bladder cancer (BCa) is the most common malignancy of the urinary tract and one of the most prevalent cancers worldwide. Research has been moving from being strictly conducted in a real-life lab environment to a ‘virtual lab’ environment where data management and analysis are done. This investigation aimed to find a novel differentially expressed gene in the TCC patients compared to control samples.
  • Methods: Expression analysis of GSE166716 achieved from GEO2R online software and validation of expression analyses performed by GEPIA2 database. ENCORI and GEPIA2 performed survival, expression, and correlation analyses. The desired gene to miRWALK to find the target miRNA.Target miRNA was searched in LncBase, and appropriate lncRNAs were found. At last, Cytoscape software was used to show the interaction between the components of the CeRNA network.
  • Results: Through analysis of the GEO dataset, a gene named MYH11 was found to be considerably upregulated (|logFC| = -6.14, adj. P value =2.03e-14) in TCC samples. GeneCards Summary for MYH11 Gene MYH11 (Myosin Heavy Chain 11) is a Protein Coding gene. Among its related pathways are EPH-Ephrin signaling and Integrin Pathway. Gene Ontology (GO) annotations related to this gene include calmodulin binding and cytoskeletal motor activity. An important paralog of this gene is MYH10. In the survival analysis, the increase in gene expression is directly related to the death rate. By analyzing possible miRNA-mRNA interactions, hsa-miR-125a-3p was selected.
  • Conclusion: This miRNA was then searched in LncBase and LINC02605, the strongest interaction.
  • Keywords: MYH11; Cancer ; CeRNA ; mirWALK ; LncBase