• DocumentCode
    3201980
  • Title

    Detection of RNAP-DNA complexes using solid state nanopores

  • Author

    Raillon, C. ; Granjon, P. ; Graf, M. ; Radenovic, A.

  • Author_Institution
    Lab. of Nanoscale Biol., EPFL, Lausanne, Switzerland
  • fYear
    2013
  • fDate
    3-7 July 2013
  • Firstpage
    4106
  • Lastpage
    4109
  • Abstract
    Transcription is the first step in gene expression where DNA is copied into RNA. It is extensively studied at the bulk level especially the regulation mechanism, which in cancerous cells is impaired. We were interested in studying E. coli RNAP enzyme at the single-molecule level for its functional as well as molecular motor properties. With nanopore sensing, we were able to observe RNA polymerase-DNA complexes translocate through nanopores and able to distinguish between individual complexes and bare RNA polymerase. We were also able to observe orientation of RNA polymerase in the nanopore whether flow or electric field predominates. The complexity of the signals from the protein-DNA complexes experiment motivated us to develop level detection software. This software is based on a change detection method called the CUSUM algorithm. OpenNanpore software was designed to analyze in details current blockages in nanopore signals with very little prior knowledge on the signal. With this work one can separate events according to their number of levels and study those sub-populations separately.
  • Keywords
    DNA; RNA; cancer; cellular biophysics; genetics; microorganisms; nanobiotechnology; CUSUM algorithm; E. coli RNAP enzyme; OpenNanpore software; RNAP-DNA complexes detection; cancerous cells; change detection method; gene expression; gene transcription; level detection software; molecular motor properties; nanopore sensing; regulation mechanism; solid state nanopores; DNA; Fabrication; Nanobioscience; Proteins; RNA; Sensors; Software;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
  • Conference_Location
    Osaka
  • ISSN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2013.6610448
  • Filename
    6610448