Evidence map›Paper›PMID 41943872›Full record

ReviewEuropean journal of immunology2026

Uncovering Immune Niches in Health and Disease Using Spatial Transcriptomics.

Johan Thorsson, Yang Zhao, Eduardo J Villablanca, Camilla Engblom

Abstract readReview
In one paragraph

Review in European journal of immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Johan ThorssonDivision of Immunology and Respiratory Medicine, Department of Medicine Solna, Karolinska Institutet and Clinical Immunology and Transfusion Medicine, Karolinska University Hospital, Stockholm, Sweden.ORCID 0009-0000-9657-8306
Yang ZhaoDivision of Immunology and Respiratory Medicine, Department of Medicine Solna, Karolinska Institutet and Clinical Immunology and Transfusion Medicine, Karolinska University Hospital, Stockholm, Sweden.
Eduardo J VillablancaDivision of Immunology and Respiratory Medicine, Department of Medicine Solna, Karolinska Institutet and Clinical Immunology and Transfusion Medicine, Karolinska University Hospital, Stockholm, Sweden.ORCID 0000-0001-9522-9729
Camilla EngblomDivision of Immunology and Respiratory Medicine, Department of Medicine Solna, Karolinska Institutet and Clinical Immunology and Transfusion Medicine, Karolinska University Hospital, Stockholm, Sweden.ORCID 0000-0001-5090-4161

Funding

Karolinska InstitutetKarolinska Institutet SciLifeLabSwedish Society for Medical Research 19 0395 PjSwedish Society for Medical Research 22 2060 PjSwedish Society for Medical Research 24 0901
6 · The paper itself

Abstract

Spatial transcriptomics allows for the investigation of complex cellular ecosystems directly in their native tissues and enables the dissection of immune niches as spatially organized and functionally diverse microenvironments across homeostatic, inflammatory, and malignant settings. In this review, we examine how spatial transcriptomics tools have been applied to interrogate the cellular and molecular architecture of immune niches, including the emerging studies of B and T cell clonal niches. We focus on immune niches in intestinal and tumor tissues due to their importance to both health and pathology, discuss pressing immunological questions these technologies may help to address, and highlight future developments in the field.

Indexed as

Cellular MicroenvironmentNeoplasmsTranscriptomeAnimalsB-LymphocytesHumansSpatial TranscriptomicsT-LymphocytesTumor Microenvironmentcancer immunologyimmune nichesmucosal immunologyspatial transcriptomics

Identifiers

PMID41943872
PMCPMC13054458

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.