Evidence map›Paper›PMID 17971442›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2007

Single-molecule level analysis of the subunit composition of the T cell receptor on live T cells.

John R James, Samuel S White, Richard W Clarke, Adam M Johansen, Paul D Dunne, David L Sleep, William J Fitzgerald, Simon J Davis, David Klenerman

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2007. 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
2.5field-weighted citation impact, top 10% 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, 79 citations in OpenAlex.

  1. Article
  2. Pre-organized landscape of T cell surface.Frontiers in immunology · 2023
    Review
  3. Surfaces for Study of Receptor Dynamics on T Cells.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Single-molecule investigations of T-cell activation.Current opinion in biomedical engineering · 2019
    Article
  10. 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
  11. Article
  12. Article
  13. Article
  14. Membrane Ultrastructure and T Cell Activation.Frontiers in immunology · 2018
    Review
  15. Article
  16. Article
  17. Review
  18. Functional role of T-cell receptor nanoclusters in signal initiation and antigen discrimination.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  19. Usp12 stabilizes the T-cell receptor complex at the cell surface during signaling.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  20. Review
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

9 authors at 4 institutions in 1 country.

John R JamesNuffield Department of Clinical Medicine and Medical Research Council Human Immunology Unit, The Weatherall Institute of Molecular Medicine, University of Oxford, John Radcliffe Hospital, Headington, Oxford OX3 9DS, United Kingdom.
Samuel S White
Richard W Clarke
Adam M Johansen
Paul D Dunne
David L Sleep
William J Fitzgerald
Simon J Davis
David Klenerman
University of Cambridge · GBJohn Radcliffe Hospital · GBMRC Human Immunology Unit · GBUniversity of Oxford · GB

Funding

Biotechnology and Biological Sciences Research Council BB/D000467/1Wellcome Trust 081894
6 · The paper itself

Abstract

The T cell receptor (TCR) expressed on most T cells is a protein complex consisting of TCRalphabeta heterodimers that bind antigen and cluster of differentiation (CD) 3epsilondelta, epsilongamma, and zetazeta dimers that initiate signaling. A long-standing controversy concerns whether there is one, or more than one, alphabeta heterodimer per complex. We used a form of single-molecule spectroscopy to investigate this question on live T cell hybridomas. The method relies on detecting coincident fluorescence from single molecules labeled with two different fluorophores, as the molecules diffuse through a confocal volume. The fraction of events that are coincident above the statistical background is defined as the "association quotient," Q. In control experiments, Q was significantly higher for cells incubated with wheat germ agglutinin dual-labeled with Alexa488 and Alexa647 than for cells incubated with singly labeled wheat germ agglutinin. Similarly, cells expressing the homodimer, CD28, gave larger values of Q than cells expressing the monomer, CD86, when incubated with mixtures of Alexa488- and Alexa647-labeled antibody Fab fragments. T cell hybridomas incubated with mixtures of anti-TCRbeta Fab fragments labeled with each fluorophore gave a Q value indistinguishable from the Q value for CD86, indicating that the dominant form of the TCR comprises single alphabeta heterodimers. The values of Q obtained for CD86 and the TCR were low but nonzero, suggesting that there is transient or nonrandom confinement, or diffuse clustering of molecules at the T cell surface. This general method for analyzing the subunit composition of protein complexes could be extended to other cell surface or intracellular complexes, and other living cells.

Indexed as

AnimalsB7-2 AntigenCD28 AntigensDimerizationHybridomasMiceModels, MolecularPeptide FragmentsProtein SubunitsReceptor-CD3 Complex, Antigen, T-CellReceptors, Antigen, T-CellReceptors, Antigen, T-Cell, alpha-betaT-LymphocytesB7-2 AntigenCD28 AntigensPeptide FragmentsProtein SubunitsReceptor-CD3 Complex, Antigen, T-CellReceptors, Antigen, T-CellReceptors, Antigen, T-Cell, alpha-beta

Identifiers

PMID17971442
PMCPMC2077052
OpenAlexW1976431498

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.