• DocumentCode
    3453878
  • Title

    Integrated analysis of hela cell microRNAs´ microarray data and anti-cancer pathway prediction of beta-sitosterol

  • Author

    Xijia Fei ; Dachuang Liu ; Cuihong Dai ; Aiju Hou ; Jianzhong Li ; Dechang Xu

  • Author_Institution
    Sch. of Food Sci. & Eng., Harbin Inst. of Technol., Harbin, China
  • fYear
    2012
  • fDate
    4-7 Oct. 2012
  • Firstpage
    824
  • Lastpage
    830
  • Abstract
    It has remarkable efficacy to treat cervical cancer cell using beta-sitosterol. At present, beta-sitosterol has been used in the clinical treatment of cancer and its side effects are remotely lower than the traditional drug such as cisplatin. However, the anticancer mechanism of beta-sitosterol is unknown in cervical cancer. In this study, we mainly use TaqMan MicroRNA Assay to detect the consequence of Hela cell treatment by beta-sitosterol and cisplatin and analyze it from molecular level. We find out the differentially expressed microRNAs and forecast their targets by Targetscan. We also provide direct evidence that STK4/MST1 is a functional target. From the viewpoint of bioinformatics, we speculate the possible pathway of beta-sitosterol to inhibit tumor.
  • Keywords
    RNA; cancer; cellular biophysics; drugs; lab-on-a-chip; molecular biophysics; patient treatment; tumours; HeLa cell microRNA microarray data; Hela cell treatment; STK4-MST1; TaqMan microRNA assay; Targetscan; anticancer pathway prediction; beta-sitosterol; bioinformatics; cervical cancer cell treatment; cisplatin; clinical cancer treatment; functional target; integrated analysis; molecular level; side effects; traditional drug; tumor; Cervical cancer; Drugs; Inhibitors; Proteins; Tumors; STK4/MST1; beta-sitosterol; hela; microarray;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedicine Workshops (BIBMW), 2012 IEEE International Conference on
  • Conference_Location
    Philadelphia, PA
  • Print_ISBN
    978-1-4673-2746-6
  • Electronic_ISBN
    978-1-4673-2744-2
  • Type

    conf

  • DOI
    10.1109/BIBMW.2012.6470247
  • Filename
    6470247