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Cell Signaling Feedback Loops

Positive and negative feedback loops are crucial for regulating biological signaling systems. These feedback loops are processes that connect output signals to their inputs.
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Related Experiment Video

Updated: Jul 10, 2026

Efficient Sampling of Genetically Encoded Biosensor Design Space Enabled with a Design of Experiments and Automation Workflow
08:58

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Published on: October 17, 2025

Optimal signal processing in small stochastic biochemical networks.

Etay Ziv1, Ilya Nemenman, Chris H Wiggins

  • 1College of Physicians and Surgeons, Columbia University, New York, New York, United States of America. ez87@columbia.edu

Plos One
|October 25, 2007
PubMed
Summary

Transcriptional regulatory networks can efficiently process environmental signals, even with few molecules. Network topology, particularly negative feedback, enhances information processing and robustness, explaining biological phenomena.

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Published on: October 4, 2024

Area of Science:

  • Systems Biology
  • Molecular Biology
  • Information Theory

Background:

  • Transcriptional regulatory networks control gene expression in response to environmental cues.
  • Understanding how network topology influences signal processing is crucial for deciphering cellular functions.
  • Previous studies often focused on specific network functions rather than general information processing capabilities.

Purpose of the Study:

  • To quantify the impact of transcriptional regulatory network topology on environmental signal processing.
  • To determine the maximum information a network can transmit between chemical signals and genetic responses.
  • To explore network designs that achieve high information fidelity under realistic biological constraints.

Main Methods:

  • Utilized information theory to measure the mutual information between input signals and output responses.
  • Analyzed biochemical circuits with three chemical species and one regulator each, including feedback loops.
  • Employed an analytic model of particle number fluctuations to account for molecular noise.

Main Results:

  • Generic networks with low molecule numbers and fast response times achieve high information transmission fidelity, surpassing simple binary switches.
  • Odd-numbered negative feedback loops reduce molecular noise, facilitating higher information transduction.
  • High-information solutions are robust to parameter variations and can be supported by single circuits.

Conclusions:

  • Network topology significantly influences a system's capacity to process environmental information.
  • Negative feedback mechanisms are critical for enhancing information fidelity and robustness in biological networks.
  • These findings offer insights into biological cross-talk and transcription factor auto-repression.