ArticleProceedings of the National Academy of Sciences of the United States of America2017
Effects of thymic selection on T cell recognition of foreign and tumor antigenic peptides.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed.
- Biophysical modeling for accurate T cell specificity prediction of viral and tumor antigens.Nature communications · 2026Article
- A biophysical framework for accurately identifying antigen single-amino acid escape variants and corresponding variant-specific compensatory TCR sequences.bioRxiv : the preprint server for biology · 2026Article
- AI/ML-empowered approaches for predicting T Cell-mediated immunity and beyond.Frontiers in immunology · 2025Article
- Integration of kinetic data into affinity-based models for improved T cell specificity prediction.Biophysical journal · 2024Article
- Feature Selection Enhances Peptide Binding Predictions for TCR-Specific Interactions.bioRxiv : the preprint server for biology · 2024Article
- Focusing on CD8Journal of experimental & clinical cancer research : CR · 2024Review
- The role of promiscuous molecular recognition in the evolution of RNase-based self-incompatibility in plants.Nature communications · 2024Article
- RACER-m leverages structural features for sparse T cell specificity prediction.Science advances · 2024Article
- How persistent infection overcomes peripheral tolerance mechanisms to cause T cell-mediated autoimmune disease.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Feature selection enhances peptide binding predictions for TCR-specific interactions.Frontiers in immunology · 2024Article
- Neoantigen-specific CD8 T cells with high structural avidity preferentially reside in and eliminate tumors.Nature communications · 2023Article
- Article
- Immune cells use active tugging forces to distinguish affinity and accelerate evolution.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Measures of epitope binding degeneracy from T cell receptor repertoires.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Quantitative approaches for decoding the specificity of the human T cell repertoire.Frontiers in immunology · 2023Review
- A Proposed Link Between Acute Thymic Involution and Late Adverse Effects of Chemotherapy.Frontiers in immunology · 2022Article
- Review
- Breast cancer dormancy: need for clinically relevant models to address current gaps in knowledge.NPJ breast cancer · 2021Review
- Challenges of Neoantigen Targeting in Lynch Syndrome and Constitutional Mismatch Repair Deficiency Syndrome.Cancers · 2021Review
- Rapid Assessment of T-Cell Receptor Specificity of the Immune Repertoire.Nature computational science · 2021Article
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Authors and funding
3 authors.
Funding
Abstract
The advent of cancer immunotherapy has generated renewed hope for the treatment of many malignancies by introducing a number of novel strategies that exploit various properties of the immune system. These therapies are based on the idea that cytotoxic T lymphocytes (CTLs) directly recognize and respond to tumor-associated neoantigens (TANs) in much the same way as they would to foreign peptides presented on cell surfaces. To date, however, nearly all attempts to optimize immunotherapeutic strategies have been empirical. Here, we develop a model of T cell selection based on the assumption of random interaction strengths between a self-peptide and the various T cell receptors. The model enables the analytical study of the effects of selection on the CTL recognition of TANs and completely foreign peptides and can estimate the number of CTLs that can detect donor-matched transplants. We show that negative selection thresholds chosen to reflect experimentally observed thymic survival rates result in near-optimal production of T cells that are capable of surviving selection and recognizing foreign antigen. These analytical results are confirmed by simulation.
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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.