ReviewInternational journal of molecular sciences2022
The Enigmatic Nature of the TCR-pMHC Interaction: Implications for CAR-T and TCR-T Engineering.
Review in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed.
- Leveraging mathematical models to predict and control T-cell activation.PLoS computational biology · 2026Article
- TCRLens: structure-aware equivariant graph learning for TCR-pMHC-I recognition and immunogenic epitope discovery.Bioinformatics advances · 2026Article
- Adoptive T Cell therapy for cancer and autoimmune disease: current advances, challenges, and future directions.Oncology reviews · 2026Article
- Multiplexed profiling of single-cell secretion on a hierarchical loading microwell chip.Biosensors & bioelectronics · 2025Article
- Neoantigen identification and TCR-T therapy development for solid tumors: current advances and future perspectives.Journal of the National Cancer Center · 2025Article
- Viral oncogenesis in cancer: from mechanisms to therapeutics.Signal transduction and targeted therapy · 2025Review
- Review
- Mathematical models of TCR initial triggering.Frontiers in immunology · 2024Review
- Immunological mechanisms of tolerance: Central, peripheral and the role of T and B cells.Asia Pacific allergy · 2023Review
- The screening, identification, design and clinical application of tumor-specific neoantigens for TCR-T cells.Molecular cancer · 2023Review
- Optical sensing and control of T cell signaling pathways.Frontiers in physiology · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
The interaction of the T-cell receptor (TCR) with a peptide in the major histocompatibility complex (pMHC) plays a central role in the adaptive immunity of higher chordates. Due to the high specificity and sensitivity of this process, the immune system quickly recognizes and efficiently responds to the appearance of foreign and altered self-antigens. This is important for ensuring anti-infectious and antitumor immunity, in addition to maintaining self-tolerance. The most common parameter used for assessing the specificity of TCR-pMHC interaction is affinity. This thermodynamic characteristic is widely used not only in various theoretical aspects, but also in practice, for example, in the engineering of various T-cell products with a chimeric (CAR-T) or artificial (TCR-engineered T-cell) antigen receptor. However, increasing data reveal the fact that, in addition to the thermodynamic component, the specificity of antigen recognition is based on the kinetics and mechanics of the process, having even greater influence on the selectivity of the process and T lymphocyte activation than affinity. Therefore, the kinetic and mechanical aspects of antigen recognition should be taken into account when designing artificial antigen receptors, especially those that recognize antigens in the MHC complex. This review describes the current understanding of the nature of the TCR-pMHC interaction, in addition to the thermodynamic, kinetic, and mechanical principles underlying the specificity and high sensitivity of this interaction.
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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.