• DocumentCode
    1762751
  • Title

    The RNA Polymerase Flow Model of Gene Transcription

  • Author

    Edri, Shlomit ; Gazit, Eran ; Cohen, Emmanuel ; Tuller, Tamir

  • Author_Institution
    Dept. of Biomed. Eng., Tel-Aviv Univ., Tel-Aviv, Israel
  • Volume
    8
  • Issue
    1
  • fYear
    2014
  • fDate
    Feb. 2014
  • Firstpage
    54
  • Lastpage
    64
  • Abstract
    Gene expression is a fundamental cellular process by which proteins are synthesized based on the information coded in the genes. The two major steps of this process are the transcription of the DNA segment corresponding to a gene to mRNA molecules and the translation of the mRNA molecules to proteins by the ribosome. Thus, understanding, modeling and engineering the different stages of this process have both important biotechnological applications and contributions to basic life science. In previous studies we have introduced the Homogenous Ribosome Flow Model (HRFM) and demonstrated its advantages in analyses of the translation process. In this study we introduce the RNA Polymerase Flow Model (RPFM), a non trivial extension of the HRFM, which also includes a backward flow and can be used for modeling transcription and maybe other similar processes. We compare the HRFM and the RPFM in the three regimes of the transcription process: rate limiting initiation, rate limiting elongation and rate limiting termination via a simulative and analytical analysis. In addition, based on experimental data, we show that RPFM is a better choice for modeling transcription process.
  • Keywords
    RNA; biochemistry; biomechanics; cellular biophysics; elongation; enzymes; genetics; molecular biophysics; proteins; DNA segment; HRFM; RNA polymerase flow model; RPFM; basic life science; biotechnological applications; fundamental cellular process; gene expression; gene transcription; mRNA molecules; proteins; rate limiting elongation; rate limiting initiation; rate limiting termination; ribosome; Biological system modeling; DNA; Mathematical model; Polymers; Proteins; RNA; Steady-state; Flow models; RNA polymerase; gene expression model; systems biology; systems genomics and proteomics; transcription elongation;
  • fLanguage
    English
  • Journal_Title
    Biomedical Circuits and Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1932-4545
  • Type

    jour

  • DOI
    10.1109/TBCAS.2013.2290063
  • Filename
    6737286