• DocumentCode
    81172
  • Title

    Comparison of adaptation motifs: temporal, stochastic and spatial responses

  • Author

    Iglesias, Pablo A. ; Changji Shi

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Johns Hopkins Univ., Baltimore, MD, USA
  • Volume
    8
  • Issue
    6
  • fYear
    2014
  • fDate
    12 2014
  • Firstpage
    268
  • Lastpage
    281
  • Abstract
    The cells´ ability to adapt to changes in the external environment is crucial for the survival of many organisms. There are two broad classes of signalling networks that achieve perfect adaptation. Both rely on complementary regulation of the response by an external signal and an inhibitory process. In one class of systems, inhibition comes about from the response itself, closing a negative feedback (NFB) loop. In the other, the inhibition comes directly from the external signal in what is referred to as an incoherent feedforward (IFF) loop. Although both systems show adaptive behaviour to constant changes in the level of the stimulus, their response to other forms of stimuli can differ. Here the authors consider the respective response to various such disturbances, including ramp increases, removal of the stimulus and pulses. The authors also consider the effect of stochastic fluctuations in signalling that come about from the interaction of the signalling elements. Finally, the authors consider the possible effect of spatially varying signals. The authors show that both the NFB and the IFF motifs can be used to sense static spatial gradients, under a local excitation, global inhibition assumption. The results may help experimentalists develop protocols that can discriminate between the two adaptation motifs.
  • Keywords
    cellular biophysics; microorganisms; stochastic processes; IFF motifs; NFB motifs; adaptation motifs; incoherent feedforward loop; inhibitory process; negative feedback loop; signalling networks; spatial responses; spatial varying signals; stochastic fluctuation effect; stochastic responses; temporal responses;
  • fLanguage
    English
  • Journal_Title
    Systems Biology, IET
  • Publisher
    iet
  • ISSN
    1751-8849
  • Type

    jour

  • DOI
    10.1049/iet-syb.2014.0026
  • Filename
    6978112