• DocumentCode
    3318897
  • Title

    In Silico Mining of MicroRNA Signatures in Human Ovarian Cancer

  • Author

    Sameen, Sheema ; Khalid, Zoya ; Malik, Shaukat Iqbal

  • Author_Institution
    Dept. of Bioinf. & Biotechnol., Int. Islamic Univ. (IIU), Islamabad, Pakistan
  • fYear
    2011
  • fDate
    10-12 May 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    During last decade an extensive research had been made on the microRNA´s, their targets, their functions and their involvement in different diseases. The basic functioning of microRNA´s is cell proliferation and cell death which provided the evidence for their involvement in cancers. Researchers put all of their efforts in unraveling the truths of microRNA roles in cancer prognosis and treatment but still there is a need of further investigation. In this paper we suggested an in silico approach for finding association of microRNA´s with cancer. Our approach is more authentic in the sense that we chose those genes which are proved to be associated with ovarian cancer and then these genes were further analyzed for their targeting microRNA´s. We predicted microRNA´s that are confirm to be involved in human ovarian cancer by our method.
  • Keywords
    cancer; cellular biophysics; data mining; macromolecules; patient treatment; MicroRNA signature; Silico mining; cancer prognosis; cancer treatment; cell death; cell proliferation; diseases; human ovarian cancer; Bioinformatics; Cancer; Diseases; Gene expression; Genomics; Humans; Libraries; claudin gene family; microRNA; ovarian cancer;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedical Engineering, (iCBBE) 2011 5th International Conference on
  • Conference_Location
    Wuhan
  • ISSN
    2151-7614
  • Print_ISBN
    978-1-4244-5088-6
  • Type

    conf

  • DOI
    10.1109/icbbe.2011.5780100
  • Filename
    5780100