Evidence map›Paper›PMID 40534591›Full record

ReviewEuropean journal of immunology2025

Narrowing Down Key Players in Autoimmunity via Single-Cell Multiomics.

Altea Gjurgjaj, Cecilia Domínguez Conde

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Antibody-drug conjugate engineering: from design to efficacy and safety.Signal transduction and targeted therapy · 2026
    Review
  2. Review
  3. Article
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

2 authors.

Altea GjurgjajHuman Technopole, Milan, Italy.ORCID 0009-0009-6962-7518
Cecilia Domínguez CondeHuman Technopole, Milan, Italy.ORCID 0000-0002-8684-4655

Funding

Funding by Fondazione Human Technopole
6 · The paper itself

Abstract

Autoimmune diseases encompass a range of conditions in which our own immune system reacts against molecules encoded by our own genome. This phenomenon is mediated by the action of antigen receptors expressed by T and B cells. Identifying the molecular events that trigger these responses as well as the effector cells that underlie them is at the heart of autoimmunity research. In this review, we discuss how single-cell multiomics techniques applied to healthy and patient tissues are shedding light on the mechanisms underpinning autoimmune conditions, specifically by identifying disease-associated cell states and cellular communication networks, including those linked to specific autoimmunity susceptibility genetic loci. Furthermore, we dive into the unprecedented resolution achieved in mapping autoreactive lymphocytes, a key component of autoimmune responses. We conclude with a perspective on key bottlenecks and promising future directions leveraging the latest advances in single-cell sequencing with orthogonal methods.

Indexed as

Autoimmune DiseasesAutoimmunitySingle-Cell AnalysisAnimalsB-LymphocytesCell CommunicationHumansMultiomicsT-Lymphocytesantigen specificityautoimmunitycell statesmolecular mimicrysingle‐cell sequencing

Identifiers

PMID40534591
PMCPMC12177686

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.