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Accurate encoding and decoding by single cells: amplitude versus frequency modulation.

Gabriele Micali1, Gerardo Aquino2, David M Richards2

  • 1Department of Life Sciences, Imperial College, London, United Kingdom; Centre for Integrative Systems Biology and Bioinformatics, Imperial College, London, United Kingdom; Dipartimento di Fisica, Università degli Studi di Milano, Milano, Italy.

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Summary
This summary is machine-generated.

Cells use two main signaling mechanisms: amplitude modulation (AM) and frequency modulation (FM). This study finds AM is generally more accurate, suggesting FM

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Area of Science:

  • Cellular Biology
  • Biochemical Signaling
  • Systems Biology

Background:

  • Cells respond to external stimuli by regulating protein expression through biochemical signaling pathways.
  • Two primary internal encoding mechanisms exist: amplitude modulation (AM) and frequency modulation (FM).

Purpose of the Study:

  • To investigate the conditions under which cells benefit from using AM versus FM signaling.
  • To compare the accuracy of continuous (AM) versus bursty (FM) signaling models.

Main Methods:

  • Developed a mathematical model for single-receptor signaling dynamics.
  • Extended the model to multiple receptors to simulate AM and FM encoding.
  • Analyzed signaling accuracy based on model parameters and dynamics.

Main Results:

  • Bursty signaling (FM) is more accurate than continuous signaling (AM) only under fast dynamic conditions.
  • For multiple receptors, amplitude modulation (AM) consistently demonstrates higher accuracy than frequency modulation (FM).
  • The study suggests factors beyond accuracy, like gene coordination or threshold mechanisms, may drive FM usage.

Conclusions:

  • Amplitude modulation (AM) is generally superior for encoding concentration stimuli due to higher accuracy.
  • Frequency modulation (FM) might be employed for reasons other than signal fidelity, such as coordinating gene expression.
  • Understanding the trade-offs between AM and FM is crucial for deciphering cellular communication strategies.