Receptors, Antigen, T-Cell
"Receptors, Antigen, T-Cell" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
Molecules on the surface of T-lymphocytes that recognize and combine with antigens. The receptors are non-covalently associated with a complex of several polypeptides collectively called CD3 antigens (CD3 COMPLEX). Recognition of foreign antigen and the major histocompatibility complex is accomplished by a single heterodimeric antigen-receptor structure, composed of either alpha-beta (RECEPTORS, ANTIGEN, T-CELL, ALPHA-BETA) or gamma-delta (RECEPTORS, ANTIGEN, T-CELL, GAMMA-DELTA) chains.
| Descriptor ID |
D011948
|
| MeSH Number(s) |
D12.776.543.750.705.816.824
|
| Concept/Terms |
Receptors, Antigen, T-Cell- Receptors, Antigen, T-Cell
- T-Cell Antigen Receptor
- Antigen Receptor, T-Cell
- Receptor, T-Cell Antigen
- T Cell Antigen Receptor
- T-Cell Receptors
- Receptors, T-Cell
- T Cell Receptors
- T-Cell Receptor
- Receptor, T-Cell
- T Cell Receptor
- Receptors, T-Cell Antigen
- Receptors, T Cell Antigen
- T-Cell Antigen Receptors
- Antigen Receptors, T-Cell
- Antigen Receptors, T Cell
|
Below are MeSH descriptors whose meaning is more general than "Receptors, Antigen, T-Cell".
Below are MeSH descriptors whose meaning is more specific than "Receptors, Antigen, T-Cell".
- Receptors, Antigen, T-Cell
- Complementarity Determining Regions
- Receptor-CD3 Complex, Antigen, T-Cell
- Receptors, Antigen, T-Cell, alpha-beta
- Receptors, Antigen, T-Cell, gamma-delta
This graph shows the total number of publications written about "Receptors, Antigen, T-Cell" by people in this website by year, and whether "Receptors, Antigen, T-Cell" was a major or minor topic of these publications.
To see the data from this visualization as text,
click here.
| Year | Major Topic | Minor Topic | Total |
|---|
| 1995 | 1 | 0 | 1 |
| 1996 | 1 | 0 | 1 |
| 1999 | 2 | 0 | 2 |
| 2002 | 1 | 0 | 1 |
| 2005 | 1 | 1 | 2 |
| 2006 | 0 | 1 | 1 |
| 2012 | 1 | 0 | 1 |
| 2017 | 17 | 16 | 33 |
| 2018 | 25 | 9 | 34 |
| 2019 | 7 | 9 | 16 |
| 2020 | 5 | 3 | 8 |
| 2021 | 7 | 2 | 9 |
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Below are the most recent publications written about "Receptors, Antigen, T-Cell" by people in Profiles.
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DLpTCR: an ensemble deep learning framework for predicting immunogenic peptide recognized by T cell receptor. Brief Bioinform. 2021 11 05; 22(6).
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SARS-CoV-2-reactive T-cell receptors isolated from convalescent COVID-19 patients confer potent T-cell effector function. Eur J Immunol. 2021 11; 51(11):2651-2664.
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Safety and antibody response after one and/or two doses of BNT162b2 Anti-SARS-CoV-2 mRNA vaccine in patients treated by CAR T cells therapy. Br J Haematol. 2022 01; 196(2):360-362.
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Structural basis of biased T cell receptor recognition of an immunodominant HLA-A2 epitope of the SARS-CoV-2 spike protein. J Biol Chem. 2021 09; 297(3):101065.
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GIANA allows computationally-efficient TCR clustering and multi-disease repertoire classification by isometric transformation. Nat Commun. 2021 08 04; 12(1):4699.
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Single-cell RNA sequencing reveals ex vivo signatures of SARS-CoV-2-reactive T cells through 'reverse phenotyping'. Nat Commun. 2021 07 26; 12(1):4515.
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Deep learning identifies antigenic determinants of severe SARS-CoV-2 infection within T-cell repertoires. Sci Rep. 2021 07 12; 11(1):14275.
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A Single-Cell Atlas of Lymphocyte Adaptive Immune Repertoires and Transcriptomes Reveals Age-Related Differences in Convalescent COVID-19 Patients. Front Immunol. 2021; 12:701085.
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SARS-CoV-2-specific CD8+ T-cell responses and TCR signatures in the context of a prominent HLA-A*24:02 allomorph. Immunol Cell Biol. 2021 10; 99(9):990-1000.
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Immunodominant T-cell epitopes from the SARS-CoV-2 spike antigen reveal robust pre-existing T-cell immunity in unexposed individuals. Sci Rep. 2021 06 23; 11(1):13164.