Evidence map›Paper›PMID 42305540›Full record

ReviewFrontiers in immunology2026

T cell decision-making decodes the dynamic antigenic landscape.

Inbal Eizenberg-Magar, Lior Dayan, Benny Chain, Yaron E Antebi

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Inbal Eizenberg-MagarDepartment of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel.
Lior DayanDepartment of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel.
Benny ChainDivision of Infection and Immunity, UCL, London, United Kingdom.
Yaron E AntebiDepartment of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The adaptive immune system continuously encounters antigens from a wide range of sources, including pathogens, self-tissues, tumors, and environmental agents. While extensive studies have characterized how lymphocytes respond to antigen binding, most experimental frameworks consider the antigenic environment as static. In reality, antigen levels can fluctuate dramatically across a wide range of temporal and spatial scales. In this review, we examine how the dynamics of antigen presentation, ranging from molecular binding events to organism-level exposure, affect T cell activation and fate. We discuss the cellular and molecular mechanisms that allow T cells to detect and respond to changes in antigen concentration over timescales from seconds to days. These include kinetic proofreading of TCR signaling, frequency-dependent decoding in intracellular signaling networks, and population-level feedback circuits involving effector and regulatory T cells. Theoretical and experimental evidence suggests that T cells are tuned not only to antigen quantity but also to its rate of change, with implications for tolerance, immune activation, and memory formation. We highlight how manipulating the dynamics of antigen exposure, such as through controlled vaccine delivery, can modulate immune responses and suggest that incorporating temporal features into immunological models may improve our understanding of immune decision-making and inform therapeutic strategies.

Indexed as

Antigen PresentationAntigensT-LymphocytesAnimalsHumansLymphocyte ActivationModels, ImmunologicalReceptors, Antigen, T-CellSignal TransductionAntigensReceptors, Antigen, T-Cellantigen dynamicsimmune decisionkinetic proofreadingsignal decodingsystems immunologyT cell activationT cell receptor signalingtemporal signal processing

Identifiers

PMID42305540
PMCPMC13265564

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Registered trials

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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.