• DocumentCode
    1772899
  • Title

    Antitumor mechanism research of cryptotanshinone by module-based network analysis

  • Author

    Shichao Zheng ; Zhenzhen Ren ; Shifeng Wang ; Yanling Zhang ; Yanjiang Qiao

  • Author_Institution
    Sch. of Chinese Pharmacy, Beijing Univ. of Chinese Med., Beijing, China
  • fYear
    2014
  • fDate
    24-27 Oct. 2014
  • Firstpage
    31
  • Lastpage
    35
  • Abstract
    Cryptotanshinone (CPT) is one of the major liposoluble ingredients in Salvia miltiorrhiza which exerts antitumor activity on several types of cancers. However, the action mechanism of CPT remained to be clarified. The current study aimed to elucidate the antitumor mechanism of CPT based on the protein interaction network (PIN) analysis. A PIN of CPT was constructed with 244 nodes and 778 interactions, and was analyzed by Gene ontology (GO) enrichment analysis based on Markov Cluster algorithm (MCL). Two modules were found to be intimately associated with antitumor. Still further, the antitumor effect of CPT may be partly attributable to inhibiting the activation of the c-Src pathway and overexpression of EGFR, to mediating overexpression of PIAS and activation of EIF2AK3. Therefore, this study may shed new light on the antitumor mechanism and treatment of CPT.
  • Keywords
    Markov processes; cancer; cellular biophysics; complex networks; drugs; genetics; molecular biophysics; organic compounds; proteins; tumours; CPT PIN analysis; CPT action mechanism; EGFR overexpression; EIF2AK3 activation; MCL; Markov cluster algorithm; PIAS overexpression; Salvia miltiorrhiza; antitumor activity; c-Src pathway activation; cancer; cryptotanshinone antitumor mechanism; gene ontology enrichment analysis; liposoluble ingredients; module based network analysis; protein interaction network; Bioinformatics; Cancer; Clustering algorithms; Computer architecture; Cryptography; Proteins; GO enrichment analysis; Protein interaction network; antitumor actions; cryptotanshinone; module;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems Biology (ISB), 2014 8th International Conference on
  • Conference_Location
    Qingdao
  • Type

    conf

  • DOI
    10.1109/ISB.2014.6990427
  • Filename
    6990427