• DocumentCode
    2109859
  • Title

    Potential MiRNAs recognition site identification in 3´ UTR regions by DSP methods

  • Author

    Maggi, Norbert ; Arrigo, P. ; Ruggiero, Carmelina

  • Author_Institution
    Sect. of Genoa, Inst. of Macromol. Studies (ISMAC), Genoa, Italy
  • fYear
    2012
  • fDate
    Aug. 28 2012-Sept. 1 2012
  • Firstpage
    5558
  • Lastpage
    5561
  • Abstract
    MicroRNAs (miRNAs) are small non-coding RNAs that regulate fundamental cellular processes in diverse organisms and that have an important function in gene expression regulation. miRNAs seem capable to concurrently modulate hundreds of target genes. Their abnormal expression is emerging as important element in many pathological conditions. The identification of microRNA binding sites on those proteins that can be disease biomarker is fundamental to design synthetic artificial oligomers. In this paper we suggest a method, based on signal processing, to filter out potential miRNA recognition sites in the 3´ UTR region of mRNAs.
  • Keywords
    RNA; biology computing; cellular biophysics; diseases; filtering theory; genetics; molecular biophysics; pattern recognition; proteins; signal processing; 3´ UTR regions; DSP methods; abnormal expression; design synthetic artificial oligomers; disease biomarker; diverse organisms; filter; fundamental cellular processes; gene expression regulation; microRNA binding sites; pathological conditions; potential miRNAs recognition site identification; proteins; signal processing; small noncoding RNAs; Biological system modeling; Cancer; Digital signal processing; Electric potential; Proteins; RNA; Gene Expression Regulation; MicroRNAs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4119-8
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2012.6347253
  • Filename
    6347253