Evidence map›Paper›PMID 19956745›Full record

ArticlePLoS computational biology2009

A role for rebinding in rapid and reliable T cell responses to antigen.

Omer Dushek, Raibatak Das, Daniel Coombs

Abstract read
In one paragraph

Article in PLoS computational biology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

46 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Physical extraction of antigen and information.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  7. Article
  8. T-cell virtuosity in ''knowing thyself".Frontiers in immunology · 2024
    Review
  9. Mathematical models of TCR initial triggering.Frontiers in immunology · 2024
    Review
  10. Article
  11. Review
  12. Article
  13. Dephosphorylation accelerates the dissociation of ZAP70 from the T cell receptor.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  14. How the T cell signaling network processes information to discriminate between self and agonist ligands.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Omer DushekDepartment of Mathematics, University of British Columbia, Vancouver, British Columbia, Canada.
Raibatak Das
Daniel Coombs

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Experimental work has shown that T cells of the immune system rapidly and specifically respond to antigenic molecules presented on the surface of antigen-presenting-cells and are able to discriminate between potential stimuli based on the kinetic parameters of the T cell receptor-antigen bond. These antigenic molecules are presented among thousands of chemically similar endogenous peptides, raising the question of how T cells can reliably make a decision to respond to certain antigens but not others within minutes of encountering an antigen presenting cell. In this theoretical study, we investigate the role of localized rebinding between a T cell receptor and an antigen. We show that by allowing the signaling state of individual receptors to persist during brief unbinding events, T cells are able to discriminate antigens based on both their unbinding and rebinding rates. We demonstrate that T cell receptor coreceptors, but not receptor clustering, are important in promoting localized rebinding, and show that requiring rebinding for productive signaling reduces signals from a high concentration of endogenous pMHC. In developing our main results, we use a relatively simple model based on kinetic proofreading. However, we additionally show that all our results are recapitulated when we use a detailed T cell receptor signaling model. We discuss our results in the context of existing models and recent experimental work and propose new experiments to test our findings.

Indexed as

Models, NeurologicalAnimalsAntigensComputer SimulationHumansImmunity, InnateReceptors, Antigen, T-CellT-LymphocytesAntigensReceptors, Antigen, T-Cell

Identifiers

PMID19956745
PMCPMC2775163

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Registered trials

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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.