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
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