How does the same ligand activate signaling of different receptors in TNFR superfamily: a computational study

Zhaoqian Su, Yinghao Wu

Research output: Contribution to journalArticlepeer-review

Abstract

TNFα is a highly pleiotropic cytokine inducing inflammatory signaling pathways. It is initially presented on plasma membrane of cells (mTNFα), and also exists in a soluble variant (sTNFα) after cleavage. The ligand is shared by two structurally similar receptors, TNFR1 and TNFR2. Interestingly, while sTNFα preferentially stimulates TNFR1, TNFR2 signaling can only be activated by mTNFα. How can two similar receptors respond to the same ligand in such a different way? We employed computational simulations in multiple scales to address this question. We found that both mTNFα and sTNFα can trigger the clustering of TNFR1. The size of clusters induced by sTNFα is constantly larger than the clusters induced by mTNFα. The systems of TNFR2, on the other hand, show very different behaviors. Only when the interactions between TNFR2 are very weak, mTNFα can trigger the receptors to form very large clusters. Given the same weak binding affinity, only small oligomers were obtained in the system of sTNFα. Considering that TNF-mediated signaling is modulated by the ligand-induced clustering of receptors on cell surface, our study provided the mechanistic foundation to the phenomenon that different isoforms of the ligand can lead to highly distinctive signaling patterns for its receptors.

Original languageEnglish (US)
Pages (from-to)657-671
Number of pages15
JournalJournal of Cell Communication and Signaling
Volume17
Issue number3
DOIs
StatePublished - Sep 2023

Keywords

  • Multiscale simulations
  • Receptor clustering
  • Tumor necrosis factor

ASJC Scopus subject areas

  • Biochemistry
  • Molecular Biology
  • Cell Biology

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