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Oscillatory stimuli differentiate adapting circuit topologies.

Sahand Jamal Rahi1,2, Johannes Larsch3,4, Kresti Pecani1

  • 1Laboratory of Cell Cycle Genetics, The Rockefeller University, New York, New York, USA.

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|August 29, 2017
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Scientists discovered new ways to identify biological circuit motifs in adapting systems. They found unique "response signatures" for negative feedback loops (NFLs) and incoherent feed-forward loops (IFFLs), aiding in understanding cellular processes.

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Area of Science:

  • Systems biology
  • Molecular biology
  • Biophysics

Background:

  • Elucidating molecular interactions in biological systems is complex with current methods.
  • Identifying specific circuit motifs, like positive feedback loops, relies on known signatures (e.g., bistability).
  • Adaptation in biological systems is generated by negative feedback loops (NFLs) and incoherent feed-forward loops (IFFLs), but their distinct signatures remain unknown.

Purpose of the Study:

  • To define novel response signatures for distinguishing between NFLs and IFFLs in adapting biological systems.
  • To develop a method for inferring the wiring diagrams of cellular circuits based on their dynamic responses.

Main Methods:

  • Computational modeling and mathematical proofs were used to derive theoretical response signatures.
  • The proposed signatures were tested computationally under oscillatory stimulation.
  • The identified signatures were experimentally applied to biological systems, including yeast and Caenorhabditis elegans.

Main Results:

  • Negative feedback loops (NFLs) exhibit refractory-period stabilization and period skipping in response to oscillatory stimuli, unlike IFFLs.
  • Application to yeast identified the circuit governing cell cycle timing.
  • A calcium (Ca2+) mediated NFL was discovered in Caenorhabditis elegans AWA neurons, responsible for adaptation in chemotaxis.

Conclusions:

  • Differential response signatures provide a powerful, orthogonal approach to identifying circuit motifs in adapting biological systems.
  • These signatures enable direct inference of wiring diagrams, overcoming limitations of current molecular interaction techniques.
  • The findings offer new insights into cellular timing mechanisms and neuronal adaptation.