Evidence map›Paper›PMID 26076649›Full record

ReviewImmunology2015

More tricks with tetramers: a practical guide to staining T cells with peptide-MHC multimers.

Garry Dolton, Katie Tungatt, Angharad Lloyd, Valentina Bianchi, Sarah M Theaker, Andrew Trimby, Christopher J Holland, Marco Donia, Andrew J Godkin, David K Cole and 4 more

Abstract readReview
In one paragraph

Review in Immunology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 95 papers.

0numbers the graph read from it
0cells of the map it votes in
95citing 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

95 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Review
  4. Article
  5. Article
  6. Review
  7. Cellular immunotherapy in melanoma: the next frontier in cancer treatment.Journal of experimental & clinical cancer research : CR · 2026
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

35 more citing papers are in PubMed but not listed here.

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

14 authors.

Garry DoltonDivision of Infection and Immunity, Cardiff University School of Medicine, Cardiff, UK.
Katie TungattDivision of Infection and Immunity, Cardiff University School of Medicine, Cardiff, UK.
Angharad LloydDivision of Infection and Immunity, Cardiff University School of Medicine, Cardiff, UK.
Valentina BianchiDivision of Infection and Immunity, Cardiff University School of Medicine, Cardiff, UK.
Sarah M TheakerDivision of Infection and Immunity, Cardiff University School of Medicine, Cardiff, UK.
Andrew TrimbyDivision of Infection and Immunity, Cardiff University School of Medicine, Cardiff, UK.
Christopher J HollandDivision of Infection and Immunity, Cardiff University School of Medicine, Cardiff, UK.
Marco DoniaCentre for Cancer Immune Therapy, Herlev University Hospital, Herlev, Denmark.
Andrew J GodkinDivision of Infection and Immunity, Cardiff University School of Medicine, Cardiff, UK.
David K ColeDivision of Infection and Immunity, Cardiff University School of Medicine, Cardiff, UK.
Per Thor StratenCentre for Cancer Immune Therapy, Herlev University Hospital, Herlev, Denmark.
Mark PeakmanPeter Gorer Department of Immunobiology, King's College London, Guy's Hospital, London, UK.
Inge Marie SvaneCentre for Cancer Immune Therapy, Herlev University Hospital, Herlev, Denmark.
Andrew K SewellDivision of Infection and Immunity, Cardiff University School of Medicine, Cardiff, UK.

Funding

Biotechnology and Biological Sciences Research Council BB/H001085/1Wellcome Trust 100327
6 · The paper itself

Abstract

Analysis of antigen-specific T-cell populations by flow cytometry with peptide-MHC (pMHC) multimers is now commonplace. These reagents allow the tracking and phenotyping of T cells during infection, autoimmunity and cancer, and can be particularly revealing when used for monitoring therapeutic interventions. In 2009, we reviewed a number of 'tricks' that could be used to improve this powerful technology. More recent advances have demonstrated the potential benefits of using higher order multimers and of 'boosting' staining by inclusion of an antibody against the pMHC multimer. These developments now allow staining of T cells where the interaction between the pMHC and the T-cell receptor is over 20-fold weaker (K(D) > 1 mm) than could previously be achieved. Such improvements are particularly relevant when using pMHC multimers to stain anti-cancer or autoimmune T-cell populations, which tend to bear lower affinity T-cell receptors. Here, we update our previous work to include discussion of newer tricks that can produce substantially brighter staining even when using log-fold lower concentrations of pMHC multimer. We further provide a practical guide to using pMHC multimers that includes a description of several common pitfalls and how to circumvent them.

Indexed as

AntibodiesCD8-Positive T-LymphocytesFlow CytometryFluorescent DyesHistocompatibility Antigens Class IHistocompatibility Antigens Class IIHumansMajor Histocompatibility ComplexPeptidesProtein MultimerizationReceptors, Antigen, T-Cell, alpha-betaStaining and LabelingAntibodiesFluorescent DyesHistocompatibility Antigens Class IHistocompatibility Antigens Class IIPeptidesReceptors, Antigen, T-Cell, alpha-betapeptide-MHC dextramerpeptide-MHC tetramerT cellT-cell receptor

Identifiers

PMID26076649
PMCPMC4552497

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.