Reliable target ligand detection by noise-induced receptor cluster formation

Area of Science:

• Cellular Biology
• Biophysics
• Biochemistry

Background:

• Intracellular reactions exhibit inherent stochasticity, posing challenges for cellular signaling.
• Cells must achieve sensitive and specific molecular detection despite environmental noise and interfering molecules.

Purpose of the Study:

• To elucidate the mechanism by which cells balance stochasticity with reliable signaling.
• To investigate the role of receptor clustering in enhancing sensitivity and specificity.

Main Methods:

• Modeling ligand-induced stochastic cluster formation of receptors.
• Analyzing noise-induced symmetry breaking in cellular systems.
• Investigating the compensation of non-target ligands through cluster dynamics.

Main Results:

• Demonstrated that ligand-induced stochastic receptor clustering enhances sensitivity and specificity.
• Showed that noise-induced cluster formation enables reliable target ligand detection.
• Proposed that intrinsic stochasticity enhances cellular sensing capabilities.

Conclusions:

• Receptor clustering, driven by noise-induced symmetry breaking, allows cells to overcome stochasticity for reliable signaling.
• This mechanism provides a novel explanation for sensitive and specific ligand detection in cellular environments.
• The findings offer insights into the biological function of receptor clustering and potential alternatives to kinetic proofreading for ligand detection.