Evidence map›Paper›PMID 31221762›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2019

A cell topography-based mechanism for ligand discrimination by the T cell receptor.

Ricardo A Fernandes, Kristina A Ganzinger, Justin C Tzou, Peter Jönsson, Steven F Lee, Matthieu Palayret, Ana Mafalda Santos, Alexander R Carr, Aleks Ponjavic, Veronica T Chang and 7 more

Open access · hybridAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
5.2field-weighted citation impact, top 3% of its field
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

47 citing papers in PubMed, 80 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. T-cell virtuosity in ''knowing thyself".Frontiers in immunology · 2024
    Review
  11. Article
  12. Antigen perception in T cells by long-term Erk and NFAT signaling dynamics.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  13. Article
  14. Article
  15. Article
  16. Pre-organized landscape of T cell surface.Frontiers in immunology · 2023
    Review
  17. Review
  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

17 authors at 6 institutions in 4 countries.

Ricardo A FernandesRadcliffe Department of Medicine, John Radcliffe Hospital, University of Oxford, OX3 9DS Oxford, United Kingdom.ORCID 0000-0001-5343-3334
Kristina A GanzingerDepartment of Chemistry, University of Cambridge, CB2 1EW Cambridge, United Kingdom.
Justin C TzouDepartment of Applied & Computational Mathematics & Statistics, University of Notre Dame, Notre Dame, IN 46556.
Peter JönssonDepartment of Chemistry, University of Cambridge, CB2 1EW Cambridge, United Kingdom.ORCID 0000-0003-2994-8017
Steven F LeeDepartment of Chemistry, University of Cambridge, CB2 1EW Cambridge, United Kingdom.ORCID 0000-0003-4492-5139
Matthieu PalayretDepartment of Chemistry, University of Cambridge, CB2 1EW Cambridge, United Kingdom.ORCID 0000-0002-5343-8378
Ana Mafalda SantosRadcliffe Department of Medicine, John Radcliffe Hospital, University of Oxford, OX3 9DS Oxford, United Kingdom.
Alexander R CarrDepartment of Chemistry, University of Cambridge, CB2 1EW Cambridge, United Kingdom.
Aleks PonjavicDepartment of Chemistry, University of Cambridge, CB2 1EW Cambridge, United Kingdom.
Veronica T ChangRadcliffe Department of Medicine, John Radcliffe Hospital, University of Oxford, OX3 9DS Oxford, United Kingdom.
Charlotte MacleodDepartment of Chemistry, University of Cambridge, CB2 1EW Cambridge, United Kingdom.
B Christoffer LagerholmRadcliffe Department of Medicine, John Radcliffe Hospital, University of Oxford, OX3 9DS Oxford, United Kingdom.
Alan E LindsayMathematics Department, University of British Columbia, Vancouver, BC V6T 1Z2, Canada.
Omer DushekSir William Dunn School of Pathology, University of Oxford, OX1 3RE Oxford, United Kingdom.ORCID 0000-0001-5847-5226
Andreas TilevikSchool of Bioscience, University of Skövde, 541 28 Skövde, Sweden andreas.tilevik@his.se simon.davis@imm.ox.ac.uk dk10012@cam.ac.uk.
Simon J DavisRadcliffe Department of Medicine, John Radcliffe Hospital, University of Oxford, OX3 9DS Oxford, United Kingdom; andreas.tilevik@his.se simon.davis@imm.ox.ac.uk dk10012@cam.ac.uk.
David KlenermanDepartment of Chemistry, University of Cambridge, CB2 1EW Cambridge, United Kingdom; andreas.tilevik@his.se simon.davis@imm.ox.ac.uk dk10012@cam.ac.uk.ORCID 0000-0001-7116-6954
University of Cambridge · GBJohn Radcliffe Hospital · GBUniversity of British Columbia · CAUniversity of Notre Dame · USUniversity of Oxford · GBUniversity of Skövde · SE

Funding

Biotechnology and Biological Sciences Research CouncilCancer Research UKMedical Research Council MC_UU_00008/4Medical Research Council MC_UU_12010/4Wellcome Trust 207547/Z/17/ZWellcome Trust WT101609MA
6 · The paper itself

Abstract

The T cell receptor (TCR) initiates the elimination of pathogens and tumors by T cells. To avoid damage to the host, the receptor must be capable of discriminating between wild-type and mutated self and nonself peptide ligands presented by host cells. Exactly how the TCR does this is unknown. In resting T cells, the TCR is largely unphosphorylated due to the dominance of phosphatases over the kinases expressed at the cell surface. However, when agonist peptides are presented to the TCR by major histocompatibility complex proteins expressed by antigen-presenting cells (APCs), very fast receptor triggering, i.e., TCR phosphorylation, occurs. Recent work suggests that this depends on the local exclusion of the phosphatases from regions of contact of the T cells with the APCs. Here, we developed and tested a quantitative treatment of receptor triggering reliant only on TCR dwell time in phosphatase-depleted cell contacts constrained in area by cell topography. Using the model and experimentally derived parameters, we found that ligand discrimination likely depends crucially on individual contacts being ∼200 nm in radius, matching the dimensions of the surface protrusions used by T cells to interrogate their targets. The model not only correctly predicted the relative signaling potencies of known agonists and nonagonists but also achieved this in the absence of kinetic proofreading. Our work provides a simple, quantitative, and predictive molecular framework for understanding why TCR triggering is so selective and fast and reveals that, for some receptors, cell topography likely influences signaling outcomes.

Indexed as

AnimalsAntigen-Presenting CellsHost-Pathogen InteractionsHumansImmunity, InnateKineticsLigandsLymphocyte ActivationMajor Histocompatibility ComplexMicrovilliModels, TheoreticalPeptidesPhosphorylationReceptors, Antigen, T-CellSignal TransductionSingle Molecule ImagingLigandsPeptidesReceptors, Antigen, T-Celldwell timemicrovillireceptor triggeringsingle-molecule imagingT cell receptor

Identifiers

PMID31221762
PMCPMC6628812
OpenAlexW2953056004

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.