• DocumentCode
    139033
  • Title

    A bio-inspired spatial patterning circuit

  • Author

    Kai-Yuan Chen ; Joe, Danial J. ; Shealy, James B. ; Land, Bruce R. ; Xiling Shen

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Cornell Univ., Ithaca, NY, USA
  • fYear
    2014
  • fDate
    26-30 Aug. 2014
  • Firstpage
    86
  • Lastpage
    89
  • Abstract
    Lateral Inhibition (LI) is a widely conserved patterning mechanism in biological systems across species. Distinct from better-known Turing patterns, LI depend on cell-cell contact rather than diffusion. We built an in silico genetic circuit model to analyze the dynamic properties of LI. The model revealed that LI amplifies differences between neighboring cells to push them into opposite states, hence forming stable 2-D patterns. Inspired by this insight, we designed and implemented an electronic circuit that recapitulates LI patterning dynamics. This biomimetic system serve as a physical model to elucidate the design principle of generating robust patterning through spatial feedback, regardless of the underlying devices being biological or electrical.
  • Keywords
    bio-inspired materials; biological techniques; biomimetics; cellular biophysics; genetics; networks (circuits); LI patterning dynamics; bioinspired spatial patterning circuit; biological devices; biological systems; biomimetic system; cell-cell contact; dynamic properties; electrical devices; electronic circuit; in silico genetic circuit model; lateral inhibition; physical model; spatial feedback; stable 2D patterns; turing patterns; Biological system modeling; Cells (biology); Educational institutions; Integrated circuit modeling; Mathematical model; Pattern formation; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
  • Conference_Location
    Chicago, IL
  • ISSN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2014.6943535
  • Filename
    6943535