ReviewFrontiers in immunology2014
Receptor Pre-Clustering and T cell Responses: Insights into Molecular Mechanisms.
Review in Frontiers in immunology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Balancing the Nanoscale Organization in Multivalent Materials for Functional Inhibition of the Programmed Death-1 Immune Checkpoint.ACS nano · 2024Article
- Trogocytic molting of T cell microvilli upregulates T cell receptor surface expression and promotes clonal expansion.Nature communications · 2023Article
- Pre-organized landscape of T cell surface.Frontiers in immunology · 2023Review
- T Cell Immunological Synaptosomes: Definition and Isolation.Methods in molecular biology (Clifton, N.J.) · 2023Article
- A set point in the selection of the αβTCR T cell repertoire imposed by pre-TCR signaling strength.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- CCR5 deficiency impairs CD4The EMBO journal · 2020Article
- Development of a Simple Kinetic Mathematical Model of Aggregation of Particles or Clustering of Receptors.Life (Basel, Switzerland) · 2020Article
- Potentiating the Antitumor Activity of Cytotoxic T CellsFrontiers in immunology · 2020Article
- First passage events in biological systems with non-exponential inter-event times.Scientific reports · 2018Article
- A window of opportunity for cooperativity in the T Cell Receptor.Nature communications · 2018Article
- Three-dimensional localization of T-cell receptors in relation to microvilli using a combination of superresolution microscopies.Proceedings of the National Academy of Sciences of the United States of America · 2016Article
- Cargo binding promotes KDEL receptor clustering at the mammalian cell surface.Scientific reports · 2016Article
- Trial Watch: Peptide-based anticancer vaccines.Oncoimmunology · 2015Review
- Immune system modeling and analysis.Frontiers in immunology · 2014Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
T cell activation, initiated by T cell receptor (TCR) mediated recognition of pathogen-derived peptides presented by major histocompatibility complex class I or II molecules (pMHC), shows exquisite specificity and sensitivity, even though the TCR-pMHC binding interaction is of low affinity. Recent experimental work suggests that TCR pre-clustering may be a mechanism via which T cells can achieve such high sensitivity. The unresolved stoichiometry of the TCR makes TCR-pMHC binding and TCR triggering, an open question. We formulate a mathematical model to characterize the pre-clustering of T cell receptors (TCRs) on the surface of T cells, motivated by the experimentally observed distribution of TCR clusters on the surface of naive and memory T cells. We extend a recently introduced stochastic criterion to compute the timescales of T cell responses, assuming that ligand-induced cross-linked TCR is the minimum signaling unit. We derive an approximate formula for the mean time to signal initiation. Our results show that pre-clustering reduces the mean activation time. However, additional mechanisms favoring the existence of clusters are required to explain the difference between naive and memory T cell responses. We discuss the biological implications of our results, and both the compatibility and complementarity of our approach with other existing mathematical models.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.