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Related Concept Videos

Amplifying Signals via Second Messengers01:15

Amplifying Signals via Second Messengers

Many receptor binding ligands are hydrophilic; they do not cross the cell membrane but bind to cell-surface receptors. Thus, their message must be relayed by second messengers present in the cell cytoplasm. There are several second messenger pathways, each with its own way of relaying information. For example, the G protein-coupled receptors can activate both phosphoinositol and cyclic AMP (cAMP) second messenger pathways. The phosphoinositol pathway is active when the receptor induces...
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Real-time Imaging of Single Engineered RNA Transcripts in Living Cells Using Ratiometric Bimolecular Beacons
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Published on: August 6, 2014

Robust signal processing in living cells.

Ralf Steuer1, Steffen Waldherr, Victor Sourjik

  • 1Institute for Theoretical Biology, Humboldt University of Berlin, Berlin, Germany. ralf.steuer@hu-berlin.de

Plos Computational Biology
|January 5, 2012
PubMed
Summary

Cellular signaling networks achieve reliable function through specific network topologies that maintain stable internal concentrations. This research identifies these organizing principles, enabling the design of robust synthetic biological circuits.

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Area of Science:

  • Systems biology
  • Biophysics
  • Molecular biology

Background:

  • Cellular signaling networks require high precision and reliability for robust function.
  • Maintaining stable intracellular concentrations is crucial despite environmental noise and fluctuations.
  • Stochastic fluctuations and parameter variations pose significant challenges to signaling fidelity.

Purpose of the Study:

  • To identify topological organizing principles that enable robust control of intracellular concentrations.
  • To develop a mathematical framework for assessing and designing robust reaction networks.
  • To provide experimental validation using the Escherichia coli chemotaxis pathway.

Main Methods:

  • Development of a simple mathematical formalism to analyze network topology.
  • Application of the framework to judge robustness against parameter perturbations.
  • Experimental validation using the Escherichia coli chemotaxis pathway.

Main Results:

  • Identification of topological principles for robust control of intracellular concentrations.
  • A framework to predict and design robust synthetic network architectures.
  • Demonstration of concentration robustness for the response regulator CheY in E. coli chemotaxis.

Conclusions:

  • Network topology is a key determinant of signaling robustness, not just parameter fine-tuning.
  • Specific network architectures can render system outputs invariant to perturbations.
  • The findings offer a new perspective on designing reliable biological systems.