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Coherent feed-forward loop acts as an efficient information transmitting motif.

Md Sorique Aziz Momin1, Ayan Biswas1, Suman K Banik1

  • 1Department of Chemistry, Bose Institute, 93/1 A P C Road, Kolkata 700009, India.

Physical Review. E
|March 15, 2020
PubMed
Summary
This summary is machine-generated.

The coherent type-1 feed-forward loop motif maximizes information transmission and minimizes noise in gene expression. This network structure acts as a superior decoder of environmental signals compared to other network patterns.

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Area of Science:

  • Systems Biology
  • Theoretical Biology
  • Gene Regulatory Networks

Background:

  • Feed-forward loops (FFLs) are common network motifs in gene regulation.
  • Understanding information processing in biological networks is crucial for deciphering cellular behavior.
  • Previous studies have explored various network structures, but a comparative analysis of FFLs in signal decoding is needed.

Purpose of the Study:

  • To theoretically investigate information transmission in a coherent type-1 feed-forward loop motif.
  • To compare the information processing capabilities of FFLs with other network patterns like cascades and bifurcations.
  • To evaluate the noise reduction properties of the FFL motif in gene expression.

Main Methods:

  • Development of a theoretical formalism for steady-state information transmission analysis.
  • Utilizing a Gaussian framework to quantify Shannon mutual information.
  • Modeling signal integration through an additive mechanism within the FFL.
  • Comparing FFLs with two-step cascades and bifurcation networks.

Main Results:

  • The coherent type-1 FFL motif maximizes Shannon mutual information fractions between gene products and regulators.
  • FFLs exhibit significantly lower noise in target gene expression compared to cascade and bifurcation networks.
  • Theoretical predictions remain invariant under parametric transformations, indicating robustness.

Conclusions:

  • The coherent type-1 FFL motif is an efficient information processor in biological systems.
  • FFLs demonstrate superior signal decoding capabilities from environmental cues.
  • This motif offers a robust mechanism for precise gene expression control with reduced noise.