Optimal ligand discrimination by asymmetric dimerization and turnover of interferon receptors

In multicellular organisms, antiviral defense mechanisms evoke a reliable collective immune response despite the noisy nature of biochemical communication between tissue cells. A molecular hub of this response, the interferon I receptor (IFNAR), discriminates between ligand types by their affinity r...

Full description

Saved in:
Bibliographic Details
Main Authors: Binder, Patrick (Author) , Schnellbächer, Nikolas David (Author) , Höfer, Thomas (Author) , Becker, Nils B. (Author) , Schwarz, Ulrich S. (Author)
Format: Article (Journal)
Language:English
Published: September 10, 2021
In: Proceedings of the National Academy of Sciences of the United States of America
Year: 2021, Volume: 118, Issue: 37, Pages: 1-8
ISSN:1091-6490
DOI:10.1073/pnas.2103939118
Online Access:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1073/pnas.2103939118
Verlag, lizenzpflichtig, Volltext: https://www.pnas.org/content/118/37/e2103939118
Get full text
Author Notes:Patrick Binder, Nikolas D. Schnellbächer, Thomas Höfer, Nils B. Becker, and Ulrich S. Schwarz
Description
Summary:In multicellular organisms, antiviral defense mechanisms evoke a reliable collective immune response despite the noisy nature of biochemical communication between tissue cells. A molecular hub of this response, the interferon I receptor (IFNAR), discriminates between ligand types by their affinity regardless of concentration. To understand how ligand type can be decoded robustly by a single receptor, we frame ligand discrimination as an information-theoretic problem and systematically compare the major classes of receptor architectures: allosteric, homodimerizing, and heterodimerizing. We demonstrate that asymmetric heterodimers achieve the best discrimination power over the entire physiological range of local ligand concentrations. This design enables sensing of ligand presence and type, and it buffers against moderate concentration fluctuations. In addition, receptor turnover, which drives the receptor system out of thermodynamic equilibrium, allows alignment of activation points for ligands of different affinities and thereby makes ligand discrimination practically independent of concentration. IFNAR exhibits this optimal architecture, and our findings thus suggest that this specialized receptor can robustly decode digital messages carried by its different ligands.
Item Description:Gesehen am 20.10.2021
Physical Description:Online Resource
ISSN:1091-6490
DOI:10.1073/pnas.2103939118