ArticleFASEB journal : official publication of the Federation of American Societies for Experimental Biology2008
The receptor deformation model of TCR triggering.
Article in FASEB journal : official publication of the Federation of American Societies for Experimental Biology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.
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Who cites it
56 citing papers in PubMed, 83 citations in OpenAlex.
- Manufacturing synthetic viscoelastic antigen-presenting cells for immunotherapy.Nature protocols · 2026Review
- Focusing on CD8Journal of experimental & clinical cancer research : CR · 2024Review
- Ligand requirements for immunoreceptor triggering.Communications biology · 2024Article
- Review
- Mechanical forces amplify TCR mechanotransduction in T cell activation and function.Applied physics reviews · 2024Review
- Exploring Mast Cell-CD8 T Cell Interactions in Inflammatory Skin Diseases.International journal of molecular sciences · 2023Review
- Targeted mechanical forces enhance the effects of tumor immunotherapy by regulating immune cells in the tumor microenvironment.Cancer biology & medicine · 2023Review
- Mechanosurveillance: Tiptoeing T Cells.Frontiers in immunology · 2022Review
- Cell-cell interfaces as specialized compartments directing cell function.Nature reviews. Molecular cell biology · 2020Review
- Mouse T cell priming is enhanced by maturation-dependent stiffening of the dendritic cell cortex.eLife · 2020Article
- Spatiotemporal Regulation of Signaling: Focus on T Cell Activation and the Immunological Synapse.International journal of molecular sciences · 2020Review
- Atomic-resolution view of complete TCR-CD3 revealed.Protein & cell · 2020Article
- MHC binding affects the dynamics of different T-cell receptors in different ways.PLoS computational biology · 2019Article
- Article
- Article
- Towards multiscale modeling of the CD8Wiley interdisciplinary reviews. Systems biology and medicine · 2019Review
- Review: Bioengineering strategies to probe T cell mechanobiology.APL bioengineering · 2018Review
- TCR Signaling: Mechanisms of Initiation and Propagation.Trends in biochemical sciences · 2018Review
- Role of Mechanotransduction and Tension in T Cell Function.Frontiers in immunology · 2018Review
- Integrins Modulate T Cell Receptor Signaling by Constraining Actin Flow at the Immunological Synapse.Frontiers in immunology · 2018Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
Through T cell receptors (TCRs), T cells can detect and respond to very small numbers of foreign peptides among a huge number of self-peptides presented by major histocompatibility complexes (pMHCs) on the surface of antigen-presenting cells (APCs). How T cells achieve such remarkable sensitivity and specificity through pMHC-TCR binding is an intensively pursued issue in immunology today; the key question is how pMHC-TCR binding initiates, or triggers, a signal from TCRs. Multiple competing models have been proposed, none of which fully explains the sensitivity and specificity of TCR triggering. What has been omitted from existing theories is that the pMHC-TCR interaction at the T cell/APC interface must be under constant mechanical stress, due to the dynamic nature of cell-cell interaction. Taking this condition into consideration, we propose the receptor deformation model of TCR triggering. In this model, TCR signaling is initiated by conformational changes of the TCR/CD3 complex, induced by a pulling force originating from the cytoskeleton and transmitted through pMHC-TCR binding interactions with enough strength to resist rupture. By introducing mechanical force into a model of T cell signal initiation, the receptor deformation model provides potential mechanistic solutions to the sensitivity and specificity of TCR triggering.
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Registered trials
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.