Evidence map›Paper›PMID 11159429›Full record

ArticleBiophysical journal2001

Calculations show substantial serial engagement of T cell receptors.

C Wofsy, D Coombs, B Goldstein

Open access · bronzeAbstract read
In one paragraph

Article in Biophysical journal, 2001. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

22 citing papers in PubMed, 65 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. A cell topography-based mechanism for ligand discrimination by the T cell receptor.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  5. Article
  6. Phenotypic models of T cell activation.Nature reviews. Immunology · 2014
    Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Perspectives for computer modeling in the study of T cell activation.Cold Spring Harbor perspectives in biology · 2010
    Review
  13. Review
  14. 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 at 3 institutions in 1 country.

C WofsyDepartment of Mathematics and Statistics, University of New Mexico, Albuquerque, New Mexico 87131, USA.
D Coombs
B Goldstein
Los Alamos National Laboratory · USUniversity of Arizona · USUniversity of New Mexico · US

Funding

Receptor Aggregation and Its EffectsR37GM035556 · NIGMS · UNIVERSITY OF CALIF-LOS ALAMOS NAT LAB · PI GOLDSTEIN, BYRON B · 2003 to 2012
$6.4M
RECEPTOR AGGREGATION AND ITS EFFECTSR01GM035556 · NIGMS · UNIVERSITY OF CALIF-LOS ALAMOS NAT LAB · PI GOLDSTEIN, BYRON B · 1985 to 2002
$1.2M
NIGMS NIH HHS GM35556
6 · The paper itself

Abstract

The serial engagement model provides an attractive and plausible explanation for how a typical antigen presenting cell, exhibiting a low density of peptides recognized by a T cell, can initiate T cell responses. If a single peptide displayed by a major histocompatibility complex (MHC) can bind, sequentially, to different T cell receptors (TCR), then a few peptides can activate many receptors. To date, arguments supporting and questioning the prevalence of serial engagement have centered on the down-regulation of TCR after contact of T cells with antigen presenting cells. Recently, the existence of serial engagement has been challenged by the demonstration that engagement of TCR can down-regulate nonengaged bystander TCR. Here we show that for binding and dissociation rates that characterize interactions between T cell receptors and peptide-MHC, substantial serial engagement occurs. The result is independent of mechanisms and measurements of receptor down-regulation. The conclusion that single peptide-MHC engage many TCR, before diffusing out of the contact region between the antigen-presenting cell and the T cell, is based on a general first passage time calculation for a particle alternating between states in which different diffusion coefficients govern its transport.

Indexed as

Antigen-Presenting CellsBiophysical PhenomenaBiophysicsDiffusionMajor Histocompatibility ComplexModels, BiologicalPeptidesProtein BindingReceptors, Antigen, T-CellT-LymphocytesPeptidesReceptors, Antigen, T-Cell

Identifiers

PMID11159429
PMCPMC1301260
OpenAlexW2038837035

What OpenQuestion holds

Textmetadata
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.