Evidence map›Paper›PMID 40582988›Full record

ReviewImmunology and cell biology2025

Sketching T cell atlases in the single-cell era: challenges and recommendations.

Itana Bojović, António Gg Sousa, Sini Junttila, Laura L Elo

Abstract readReview
In one paragraph

Review in Immunology and cell biology, 2025. 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.

Itana BojovićTurku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland.
António Gg SousaTurku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland.ORCID https://orcid.org/0000-0003-4779-6459
Sini JunttilaTurku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland.
Laura L EloTurku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland.

Funding

Enlight-ten+ Marie Skłodowska-Curie grant 955321Research Council of Finland 329278Research Council of Finland 341342Research Council of Finland 364700
6 · The paper itself

Abstract

Recent advances in single-cell technologies have enabled the creation of comprehensive cell atlases, reference maps of various cell types within organisms. Here we specifically focus on T cell atlases, which offer a detailed catalog of the adaptive immune system at single-cell resolution. As such, they capture cellular diversity, functional states, and spatial dynamics across tissues, developmental stages, and disease conditions. Given the central role of T cells in orchestrating immune responses, their dysregulation underpins autoimmune disorders, cancer progression and failed immunotherapies. Therefore, a unified T cell atlas is critical for decoding such disease mechanisms, identifying therapeutic targets, and advancing personalized treatments. In this article, we explore the latest advances in T cell atlases, describing breakthroughs in multi-omics technologies, spatial profiling and computational frameworks that resolve transcriptional, epigenetic and proteomic heterogeneity. We also address persistent challenges and highlight strategies to address these gaps. Finally, we discuss emerging frontiers set to reshape our understanding of T cell dynamics in both health and diseases. Together, these insights underscore the transformative potential of T cell atlases in reconstructing precision immunology and accelerating therapeutic innovation.

Indexed as

Atlases as TopicSingle-Cell AnalysisT-LymphocytesAnimalsHumansatlasintegrationmulti‐omicssingle‐cellT cells

Identifiers

PMID40582988
PMCPMC12392707

What OpenQuestion holds

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LicenceCC BY
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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.