• DocumentCode
    3313566
  • Title

    System identification of hunchback protein patterning in early drosophila embryogenesis

  • Author

    Aswani, Anil ; Guturu, Harendra ; Tomlin, Claire

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Univ. of California at Berkeley, Berkeley, CA, USA
  • fYear
    2009
  • fDate
    15-18 Dec. 2009
  • Firstpage
    7723
  • Lastpage
    7728
  • Abstract
    Early patterning in the Drosophila melanogaster embryo occurs through a complicated network of interactions involving transcription factor proteins and the mRNA of their target genes. One such system is the pattern of hunchback mRNA and its regulation by Bicoid and Kru¿ppel proteins. This system is well-studied, but there is disagreement amongst biologists on how exactly hunchback expression is regulated. We attempt here to provide evidence to distinguish between two models in contention, through system identification. Our general approach is to do nonlinear regression on a parametric, nonlinear partial differential equation model which incorporates transcription, diffusion, and degradation. We perform the regression, analyze the results and then interpret the results in the biological context. We also compare our results to previous work on this system.
  • Keywords
    biology computing; macromolecules; partial differential equations; proteins; regression analysis; Bicoid proteins; Kru¿ppel proteins; biological context; drosophila melanogaster embryo; early drosophila embryogenesis; hunchback protein patterning; mRNA; nonlinear regression; partial differential equation model; system identification; transcription factor proteins; Contracts; Embryo; Interference; Processor scheduling; Proteins; Scheduling algorithm; Spread spectrum communication; System identification; Utility programs; Wireless networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on
  • Conference_Location
    Shanghai
  • ISSN
    0191-2216
  • Print_ISBN
    978-1-4244-3871-6
  • Electronic_ISBN
    0191-2216
  • Type

    conf

  • DOI
    10.1109/CDC.2009.5400645
  • Filename
    5400645