Evidence map›Paper›PMID 41053988›Full record

ReviewEuropean journal of immunology2025

From Histology to High-Resolution Mapping: The Rise of Spatial Omics in Immunology.

Marco De Giovanni, Donato Inverso, Matteo Iannacone

Abstract readReview
In one paragraph

Review in European journal of immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
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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

3 authors.

Marco De GiovanniDivision of Immunology, Transplantation, and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Donato InversoDivision of Immunology, Transplantation, and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Matteo IannaconeDivision of Immunology, Transplantation, and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy.ORCID 0000-0002-9370-2671

Funding

964481ERC 101116224European CommissionEuropean Research Council 1011126135Fondo Italiano per la Scienza (FIS) FIS-2023-00745Horizon Europe Framework Program Doctoral Network 101167421Italian Association for Cancer Research 22737Italian Association for Cancer Research 26183Italian Association for Cancer Research 27564Italian Association for Cancer Research 30520Italian Ministry for University and Research 2022FMESXLItalian Ministry for University and Research PE00000007Medical Research Council Developmental Pathway MR/Y019466/1
6 · The paper itself

Abstract

The immune system is deeply shaped by its anatomical context, with spatial organization emerging as a fundamental principle of immune regulation. Recent advances in spatial omics technologies-encompassing transcriptomics, proteomics, metabolomics, lipidomics, and phosphoproteomics-have revolutionized our ability to study immune processes within intact tissue environments. By preserving spatial coordinates while capturing high-dimensional molecular data, these technologies offer unprecedented insight into how immune cell states and functions are governed by local cues and tissue architecture. In this review, we provide an overview of the major spatial omics platforms, emphasizing methodologies that have gained traction within the immunology community and in our own research. We then illustrate how these tools have begun to elucidate the logic of immune compartmentalization across anatomically complex tissues. While not exhaustive, we highlight selected examples from the intestine, secondary lymphoid organs, and liver to show how spatial omics has uncovered region-specific immune programs, microenvironmental niches, and context-dependent signaling pathways. Together, these studies demonstrate how spatial omics technologies are redefining immunological inquiry-shifting the focus from isolated cell types to their spatially embedded roles in tissue physiology and pathology.

Indexed as

Allergy and ImmunologyImmune SystemAnimalsGenomicsHumansLipidomicsMetabolomicsProteomicsSignal TransductionTranscriptome

Identifiers

PMID41053988
PMCPMC12501406

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.