• DocumentCode
    3490991
  • Title

    Extrinsic vs. intrinsic noises in phage lambda genetic switch

  • Author

    Tian, Wei ; Zhu, Hongyuan ; Lei, Xue ; Ao, Ping

  • Author_Institution
    Key Lab. of Syst. Biomed. of Minist. of Educ., Shanghai Jiao Tong Univ., Shanghai, China
  • fYear
    2011
  • fDate
    2-4 Sept. 2011
  • Firstpage
    67
  • Lastpage
    71
  • Abstract
    Noises in biological modeling may be classified into two kinds: intrinsic noise, which derives from the variability in dominant molecular interaction and is responsible for the given phenomenon, and extrinsic noise, which arises from other sources, like fluctuations in the environment and so on. Phage lambda is a simple model organism that exhibits important noisy characteristics. It lives in either lysogenic state or lytic state after infecting a bacterium, that is determined by a genetic switch. The mathematical modeling of this genetic switch typically only considers intrinsic noise, though a previous study by one of present authors suggested the critical role of extrinsic noise. In the present study by comparing theoretical results of phage lambda in lysogeny with experiment data, we first achieve good numerical agreements of five constrains of phage lambda for averaged variables. This success indicates that current dominant molecular agents are right. In addition, we confirm the existence of extrinsic noise in lambda genetic switch and find it surprisingly large. This finding calls for an extension of the current mathematical model to better describe the noises. We also point out some possible sources of extrinsic noise.
  • Keywords
    biological techniques; genetics; molecular biophysics; extrinsic noise; intrinsic noise; lysogeny; molecular agents; molecular interaction; phage lambda genetic switch; Biological system modeling; Chemicals; Genetics; Mathematical model; Noise; Proteins; Switches; extrinsic noise; intrinsic noise; lysogeny; phage lambda; stochasticity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems Biology (ISB), 2011 IEEE International Conference on
  • Conference_Location
    Zhuhai
  • Print_ISBN
    978-1-4577-1661-4
  • Electronic_ISBN
    978-1-4577-1665-2
  • Type

    conf

  • DOI
    10.1109/ISB.2011.6033122
  • Filename
    6033122