• DocumentCode
    1475943
  • Title

    Cell-cell interaction and diversity of emergent behaviours

  • Author

    Damiani, Carlo ; Serra, Renan ; Villani, M. ; Kauffman, S.A. ; Colacci, A.

  • Author_Institution
    Dept. of Social, Cognitive & Quantitative Sci., Modena & Reggio Emilia Univ., Reggio Emilia, Italy
  • Volume
    5
  • Issue
    2
  • fYear
    2011
  • fDate
    3/1/2011 12:00:00 AM
  • Firstpage
    137
  • Lastpage
    144
  • Abstract
    Despite myriads of possible gene expression profiles, cells tend to be found in a confined number of expression patterns. The dynamics of Boolean models of gene regulatory networks has proven to be a likely candidate for the description of such self-organisation phenomena. Because cells do not live in isolation, but they constantly shape their functions to adapt to signals from other cells, this raises the question of whether the cooperation among cells entails an expansion or a reduction of their possible steady states. Multi random Boolean networks are introduced here as a model for interaction among cells that might be suitable for the investigation of some generic properties regarding the influence of communication on the diversity of cell behaviours. In spite of its simplicity, the model exhibits a non-obvious phenomenon according to which a moderate exchange of products among adjacent cells fosters the variety of their possible behaviours, which on the other hand are more similar to one another. On the contrary, a more invasive coupling would lead cells towards homogeneity.
  • Keywords
    Boolean algebra; cellular biophysics; genetics; self-adjusting systems; Boolean model dynamics; cell behaviour diversity; cell-cell interaction; expression pattern confined number; gene expression profiles; gene regulatory networks; multi random Boolean networks; self-organisation phenomena;
  • fLanguage
    English
  • Journal_Title
    Systems Biology, IET
  • Publisher
    iet
  • ISSN
    1751-8849
  • Type

    jour

  • DOI
    10.1049/iet-syb.2010.0039
  • Filename
    5735001