• DocumentCode
    2718913
  • Title

    Parallel detection of nucleic acids using an electronic chip

  • Author

    Soleymani, Leyla ; Fang, Zhichao ; Kelley, Shana O. ; Sargent, Edward H.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Toronto, Toronto, ON
  • fYear
    2008
  • fDate
    16-18 Dec. 2008
  • Firstpage
    20
  • Lastpage
    23
  • Abstract
    Prostate cancer is the most commonly diagnosed cancer among North American men. The recent discovery of altered genes that play an underlying role in prostate cancer development has made the sequence-specific detection of nucleic acids especially important. Multiplexed detection using electronic readout would permit sensitive, reliable, fast and inexpensive identification of molecular biomarkers in clinical settings. This would improve early diagnosis, and would provide a route towards prognosis and new therapeutic possibilities. Here we report for the first time the development of a novel chip-based, addressable array of nano-textured microelectrodes (NMEs) that can be used in automated detection of a panel of prostate cancer-related gene fusions in clinical samples. The attomolar sensitivity along with the unique multiplexing capability of this system make it superior to the previously reported electrochemical nucleic acids sensors.
  • Keywords
    biology computing; cancer; electrochemical sensors; macromolecules; microelectrodes; molecular biophysics; nanoelectronics; electrochemical nucleic acids sensors; electronic chip; electronic readout; molecular biomarkers; multiplexed detection; nano-textured micro electrodes; parallel detection; prostate cancer; sequence-specific detection; Biochemistry; Cancer detection; Gene expression; Gold; Medical diagnostic imaging; Microelectrodes; Molecular biophysics; Pharmaceuticals; Prostate cancer; RNA;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovations in Information Technology, 2008. IIT 2008. International Conference on
  • Conference_Location
    Al Ain
  • Print_ISBN
    978-1-4244-3396-4
  • Electronic_ISBN
    978-1-4244-3397-1
  • Type

    conf

  • DOI
    10.1109/INNOVATIONS.2008.4781772
  • Filename
    4781772