ArticleProceedings of the National Academy of Sciences of the United States of America2013
Quorum sensing allows T cells to discriminate between self and nonself.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.
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Who cites it
43 citing papers in PubMed, 80 citations in OpenAlex.
- 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
- Excitability as a design principle in the immune system.Science advances · 2026Article
- Design principles of the cytotoxic CD8Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Design principles of the cytotoxic CD8ArXiv · 2025Article
- Design principles of the cytotoxic CD8bioRxiv : the preprint server for biology · 2025Article
- SLAMF7 (CD319) on activated CD8Cell death and differentiation · 2025Article
- The quantum model of T-cell activation: Revisiting immune response theories.Scandinavian journal of immunology · 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
- 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
- Systems immunology of regulatory T cells: can one circuit explain it all?Trends in immunology · 2023Review
- CTLA4 depletes T cell endogenous and trogocytosed B7 ligands via cis-endocytosis.The Journal of experimental medicine · 2023Article
- Proofreading does not result in more reliable ligand discrimination in receptor signaling due to its inherent stochasticity.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- The Adaptation Model of Immunity: Signal IV Matters Most in Determining the Functional Outcomes of Immune Responses.Journal of immunology (Baltimore, Md. : 1950) · 2023Article
- Article
- Review
- The perception and response of T cells to a changing environment are based on the law of initial value.Science signaling · 2022Review
- T cell immune responses deciphered.Science (New York, N.Y.) · 2022Article
- Defending and integrating an organism by the immune system.Scandinavian journal of immunology · 2022Review
- Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
T cells orchestrate pathogen-specific adaptive immune responses by identifying peptides derived from pathogenic proteins that are displayed on the surface of infected cells. Host cells also display peptide fragments from the host's own proteins. Incorrectly identifying peptides derived from the body's own proteome as pathogenic can result in autoimmune disease. To minimize autoreactivity, immature T cells that respond to self-peptides are deleted in the thymus by a process called negative selection. However, negative selection is imperfect, and autoreactive T cells exist in healthy individuals. To understand how autoimmunity is yet avoided, without loss of responsiveness to pathogens, we have developed a model of T-cell training and response. Our model shows that T cells reliably respond to infection and avoid autoimmunity because collective decisions made by the T-cell population, rather than the responses of individual T cells, determine biological outcomes. The theory is qualitatively consistent with experimental data and yields a criterion for thymic selection to be adequate for suppressing autoimmunity.
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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.