ReviewNature reviews. Immunology2026
The challenge and promise of studying human antigen-specific T cells.
Review in Nature reviews. 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.
What it found
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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.
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.
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Authors and funding
5 authors.
Funding
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Abstract
Each antigen-specific T cell population represents only a small fraction of the total T cell repertoire, yet these populations play a disproportionately large role in immune responses to viruses and cancer and act as key effectors in autoimmune disease. Understanding their behaviour and phenotypes is therefore crucial for elucidating disease mechanisms. The rarity of these cells and the difficulty of isolating them meant that most prior studies examined bulk, unselected T cell populations. Such approaches capture substantial heterogeneity arising from diverse antigen targets, HLA alleles and potential bystander cells, yet have shaped much of our understanding of T cell responses and phenotypes. In this Review, we discuss how a combination of fundamental and emerging technologies now enables the detailed study of antigen-specific T cells. We highlight how insights linking epitope specificity, T cell receptor (TCR) usage and functional profiles across blood and tissues are transforming our understanding of T cell immunity. Furthermore, we emphasize that the widespread adoption of paired TCR sequencing is generating antigen-specific TCR datasets that can serve as durable reference libraries, enabling future studies and immune atlases to annotate and characterize antigen-specific T cell responses within broader datasets.
Identifiers
42443595What Socratic holds
Registered trials
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 Socratic graph.