Adaptive threshold-stochastic resonance (AT-SR) in MHC clusters on the cell surface

László Bene1, Miklós Bagdány2, László Damjanovich1

  • 1Department of Surgery, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.

Immunology Letters
|November 19, 2019
PubMed

Insights

Stochastic resonance enhances immune cell signaling by using background noise to amplify weak signals, improving T-cell receptor detection of foreign antigens. This noise-assisted signal detection principle explains conserved receptor clusters in immune cells.

Area of Science:

  • Immunology
  • Cellular Signaling
  • Biophysics

Background:

  • Conserved 2D receptor clusters, termed membrane rafts, are found on immune cells and tumor cells, featuring MHCI and MHCII antigens.
  • The exact role of these clusters and MHCI molecules in transmembrane signaling and cluster maintenance remains largely unknown.
  • Existing models do not fully explain the observed conservativity and functional significance of these receptor arrangements.

Purpose of the Study:

  • To propose stochastic resonance (SR) as a unifying principle for transmembrane signaling within conserved receptor clusters.
  • To explain how immune recognition and cytokine binding events are organized and facilitated by these molecular clusters.
  • To provide a framework for understanding the amplification and detection of weak biological signals.

Main Methods:

  • Conceptual modeling based on the principles of stochastic resonance (noise-assisted signal detection).
  • Analysis of immune recognition as a prototype for transmembrane signaling within receptor clusters.
  • Theoretical exploration of signal amplification, threshold adjustment, and coincidence detection mechanisms.

Main Results:

  • Stochastic resonance explains how 'athermal noise' from self-peptide-MHC complexes amplifies weak signals from non-self-peptide MHC complexes.
  • This mechanism allows for readjustment of detection thresholds, enhancing sensitivity and specificity of T-cell receptors.
  • The model accounts for coincidence detection and frequency encoding of downstream signals, explaining the role of MHC islands.

Conclusions:

  • Stochastic resonance provides a general organizing principle for transmembrane signaling in conserved receptor clusters, applicable to immune recognition and cytokine binding.
  • The presence of MHC molecules in these clusters serves as a crucial source of 'noise' for signal amplification and coincidence detection.
  • The proposed SR model offers a testable biophysical explanation for complex cellular signaling events and suggests methods for experimental validation.

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