Evidence map›Paper›PMID 25145757›Full record

ReviewNature reviews. Immunology2014

Phenotypic models of T cell activation.

Melissa Lever, Philip K Maini, P Anton van der Merwe, Omer Dushek

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Immunology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 103 papers.

0numbers the graph read from it
0cells of the map it votes in
103citing papers in PubMed
5.7field-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

103 citing papers in PubMed, 179 citations in OpenAlex.

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  6. Involvement of the PD-1 pathway in the modulation of immune responses during allergic diseases.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2026
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43 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

4 authors at 2 institutions in 2 countries.

Melissa LeverSir William Dunn School of Pathology, University of Oxford, South Parks Road, Oxford, Oxfordshire OX1 3RE, UK.
Philip K MainiWolfson Centre for Mathematical Biology, Mathematical Institute, University of Oxford, Oxford, Oxfordshire OX2 6GG, UK.
P Anton van der MerweSir William Dunn School of Pathology, University of Oxford, South Parks Road, Oxford, Oxfordshire OX1 3RE, UK.
Omer Dushek1] Sir William Dunn School of Pathology, University of Oxford, South Parks Road, Oxford, Oxfordshire OX1 3RE, UK. [2] Wolfson Centre for Mathematical Biology, Mathematical Institute, University of Oxford, Oxford, Oxfordshire OX2 6GG, UK.
University of Oxford · GBMathematical Institute of the Slovak Academy of Sciences · SK

Funding

Cancer Research UK C19634/A12336Medical Research Council G19/31Medical Research Council G9722488Medical Research Council MR/J002011/1Wellcome Trust 098363
6 · The paper itself

Abstract

T cell activation is a crucial checkpoint in adaptive immunity, and this activation depends on the binding parameters that govern the interactions between T cell receptors (TCRs) and peptide-MHC complexes (pMHC complexes). Despite extensive experimental studies, the relationship between the TCR-pMHC binding parameters and T cell activation remains controversial. To make sense of conflicting experimental data, a variety of verbal and mathematical models have been proposed. However, it is currently unclear which model or models are consistent or inconsistent with experimental data. A key problem is that a direct comparison between the models has not been carried out, in part because they have been formulated in different frameworks. For this Analysis article, we reformulated published models of T cell activation into phenotypic models, which allowed us to directly compare them. We find that a kinetic proofreading model that is modified to include limited signalling is consistent with the majority of published data. This model makes the intriguing prediction that the stimulation hierarchy of two different pMHC complexes (or two different TCRs that are specific for the same pMHC complex) may reverse at different pMHC concentrations.

Indexed as

Adaptive ImmunityModels, ImmunologicalAntigen-Presenting CellsCell CommunicationCell DifferentiationHumansLymphocyte ActivationMajor Histocompatibility ComplexProtein BindingReceptors, Antigen, T-CellSignal TransductionT-LymphocytesReceptors, Antigen, T-Cell

Identifiers

PMID25145757
OpenAlexW2058645356

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.