ReviewFrontiers in immunology2014
Theories and quantification of thymic selection.
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 54 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
54 citing papers in PubMed.
- Central T cell tolerance from sparse peptide sampling.Science advances · 2026Article
- Diversity, Equality, and Inclusion in the naïve T Cell Receptor Repertoire.Immunological reviews · 2026Review
- Human Leukocyte Antigen Determinants in Myocarditis and Dilated Cardiomyopathy.Current heart failure reports · 2026Review
- A temporal dialogue between the circadian clock and chronic inflammatory diseases.Disease models & mechanisms · 2026Review
- Multifaceted regulation of thymic tolerance by pattern recognition cascades.Frontiers in immunology · 2026Review
- Bulk RNAseq Analysis of Cardiac Myosin-Specific CD4Biomedicines · 2025Article
- T Cell-Specific Inactivation of the PI3K p110α Catalytic Subunit: Effect in T Cell Differentiation and Antigen-Specific Responses.International journal of molecular sciences · 2025Article
- Stabilization of β-Catenin Directs HEB to Limit Thymic Selection.Journal of immunology (Baltimore, Md. : 1950) · 2024Article
- Stochastic journeys of cell progenies through compartments and the role of self-renewal, symmetric and asymmetric division.Scientific reports · 2024Article
- A journey to your self: The vague definition of immune self and its practical implications.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- An integrative mechanistic model of thymocyte dynamics.Frontiers in immunology · 2024Article
- Mathematical Characterization of Private and Public Immune Receptor Sequences.Bulletin of mathematical biology · 2023Article
- A transfer-learning approach to predict antigen immunogenicity and T-cell receptor specificity.eLife · 2023Article
- Analysis of thymic generation of shared T-cell receptor α repertoire associated with recognition of tumor antigens shows no preference for neoantigens over wild-type antigens.Cancer medicine · 2023Article
- Modeling T Cell Fate.Annual review of immunology · 2023Review
- Modeling and predicting the overlap of B- and T-cell receptor repertoires in healthy and SARS-CoV-2 infected individuals.PLoS genetics · 2023Article
- Inferring the T cell repertoire dynamics of healthy individuals.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
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- Article
- Evolutionary trade-offs constraining the MHC gene expansion: beyond simple TCR depletion model.Frontiers in immunology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
The peripheral T cell repertoire is sculpted from prototypic T cells in the thymus bearing randomly generated T cell receptors (TCR) and by a series of developmental and selection steps that remove cells that are unresponsive or overly reactive to self-peptide-MHC complexes. The challenge of understanding how the kinetics of T cell development and the statistics of the selection processes combine to provide a diverse but self-tolerant T cell repertoire has invited quantitative modeling approaches, which are reviewed here.
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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.