A systems-biology model of the tumor necrosis factor (TNF) interactions with TNF receptor 1 and 2.


Journal

Bioinformatics (Oxford, England)
ISSN: 1367-4811
Titre abrégé: Bioinformatics
Pays: England
ID NLM: 9808944

Informations de publication

Date de publication:
05 05 2021
Historique:
received: 13 12 2019
revised: 07 07 2020
accepted: 15 09 2020
pubmed: 30 9 2020
medline: 4 6 2021
entrez: 29 9 2020
Statut: ppublish

Résumé

Clustering enables TNF receptors to stimulate intracellular signaling. The differential soluble ligand-induced clustering behavior of TNF receptor 1 (TNFR1) and TNFR2 was modeled. A structured, rule-based model implemented ligand-independent pre-ligand binding assembly domain (PLAD)-mediated homotypic low affinity interactions of unliganded and liganded TNF receptors. Soluble TNF initiates TNFR1 signaling but not TNFR2 signaling despite receptor binding unless it is secondarily oligomerized. We consider high affinity binding of TNF to signaling-incompetent pre-assembled dimeric TNFR1 and TNFR2 molecules and secondary clustering of liganded dimers to signaling competent ligand-receptor clusters. Published receptor numbers, affinities and measured different activities of clustered receptors validated model simulations for a large range of receptor and ligand concentrations. Different PLAD-PLAD affinities and different activities of receptor clusters explain the observed differences in the TNF receptor stimulating activities of soluble TNF. All scripts and data are in manuscript and supplement at Bioinformatics online. Supplementary data are available at Bioinformatics online.

Identifiants

pubmed: 32991680
pii: 5912932
doi: 10.1093/bioinformatics/btaa844
doi:

Substances chimiques

Ligands 0
Receptors, Tumor Necrosis Factor, Type I 0
Tumor Necrosis Factor-alpha 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

669-676

Informations de copyright

© The Author(s) 2020. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Auteurs

Juan Pablo Prada (JP)

Department of Bioinformatics, Biocenter, University of Würzburg, Würzburg 97074, Germany.

Gaby Wangorsch (G)

Department of Bioinformatics, Biocenter, University of Würzburg, Würzburg 97074, Germany.

Kirstin Kucka (K)

Division of Molecular Internal Medicine, Department of Internal Medicine II, University Hospital Würzburg, Würzburg 97080, Germany.

Isabell Lang (I)

Division of Molecular Internal Medicine, Department of Internal Medicine II, University Hospital Würzburg, Würzburg 97080, Germany.

Thomas Dandekar (T)

Department of Bioinformatics, Biocenter, University of Würzburg, Würzburg 97074, Germany.
Department of Structural and Computational Biology, European Molecular Biology Laboratory (EMBL), 69012 Heidelberg, Germany.

Harald Wajant (H)

Division of Molecular Internal Medicine, Department of Internal Medicine II, University Hospital Würzburg, Würzburg 97080, Germany.

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