Evidence map›Paper›PMID 40759647›Full record

ArticleNature communications2025

Unveiling genetic signatures of immune response in immune-related diseases through single-cell eQTL analysis across diverse conditions.

Zhenhua Zhang, Wenchao Li, Qiuyao Zhan, Michelle Aillaud, Javier Botey-Bataller, Martijn Zoodsma, Rob Ter Horst, Leo A B Joosten, Christoph Bock, Leon N Schulte and 4 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 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

14 authors.

Zhenhua ZhangDepartment of Computational Biology for Individualised Infection Medicine, Centre for Individualised Infection Medicine (CiiM), a joint venture between the Helmholtz-Centre for Infection Research (HZI) and the Hannover Medical School (MHH), Hannover, Germany.ORCID http://orcid.org/0000-0002-1781-7127
Wenchao LiDepartment of Computational Biology for Individualised Infection Medicine, Centre for Individualised Infection Medicine (CiiM), a joint venture between the Helmholtz-Centre for Infection Research (HZI) and the Hannover Medical School (MHH), Hannover, Germany.ORCID http://orcid.org/0000-0002-7956-0742
Qiuyao ZhanDepartment of Computational Biology for Individualised Infection Medicine, Centre for Individualised Infection Medicine (CiiM), a joint venture between the Helmholtz-Centre for Infection Research (HZI) and the Hannover Medical School (MHH), Hannover, Germany.
Michelle AillaudInstitute for Lung Research, Philipps University, Marburg, Germany.
Javier Botey-BatallerDepartment of Computational Biology for Individualised Infection Medicine, Centre for Individualised Infection Medicine (CiiM), a joint venture between the Helmholtz-Centre for Infection Research (HZI) and the Hannover Medical School (MHH), Hannover, Germany.ORCID http://orcid.org/0000-0003-3512-3150
Martijn ZoodsmaDepartment of Computational Biology for Individualised Infection Medicine, Centre for Individualised Infection Medicine (CiiM), a joint venture between the Helmholtz-Centre for Infection Research (HZI) and the Hannover Medical School (MHH), Hannover, Germany.ORCID http://orcid.org/0000-0003-3636-2209
Rob Ter HorstCeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria.ORCID http://orcid.org/0000-0003-0576-5873
Leo A B JoostenDepartment of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, the Netherlands.ORCID http://orcid.org/0000-0001-6166-9830
Christoph BockCeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria.ORCID http://orcid.org/0000-0001-6091-3088
Leon N SchulteInstitute for Lung Research, Philipps University, Marburg, Germany.ORCID http://orcid.org/0000-0001-6814-9344
Cheng-Jian XuDepartment of Computational Biology for Individualised Infection Medicine, Centre for Individualised Infection Medicine (CiiM), a joint venture between the Helmholtz-Centre for Infection Research (HZI) and the Hannover Medical School (MHH), Hannover, Germany.ORCID http://orcid.org/0000-0003-1586-4672
Mihai G NeteaDepartment of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, the Netherlands.ORCID http://orcid.org/0000-0003-2421-6052
Marc Jan BonderDepartment of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.ORCID http://orcid.org/0000-0002-8431-3180
Yang LiDepartment of Computational Biology for Individualised Infection Medicine, Centre for Individualised Infection Medicine (CiiM), a joint venture between the Helmholtz-Centre for Infection Research (HZI) and the Hannover Medical School (MHH), Hannover, Germany. Yang.Li@helmholtz-hzi.de.ORCID http://orcid.org/0000-0003-4022-7341

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Deciphering the intricate regulatory mechanisms underlying biological processes holds promise for elucidating how genetic variants contribute to immune-related disorders. We map genetic effects on gene expression (expression quantitative trait locus, eQTL) using single-cell transcriptomes of 152 samples from 38 healthy individuals, covering baseline state and lipopolysaccharide challenge either before or after Bacillus Calmette-Guerin vaccination. Interestingly, we uncover a monocyte eQTL linked to the LCP1, shedding light on inter-individual variations in trained immunity. Furthermore, we elucidate genetic and epigenetic regulatory networks of CD55 and SLFN5. Of note, our results support the pivotal roles of SLFN5 in COVID-19 pathogenesis by incorporating disease-associated loci, chromatin accessibility, and transcription factor binding affinities, aligning with the established functions of SLFN5 in restricting virus replication during viral infection. Our study provides a paradigm to decipher genetic underpinnings of complex traits by integrating single-cell eQTLs with multi-omics data from patients and public databases.

Indexed as

COVID-19Immune System DiseasesImmunityQuantitative Trait LociAdultFemaleGene Regulatory NetworksGenetic Predisposition to DiseaseHumansMaleMonocytesSARS-CoV-2Single-Cell AnalysisTranscriptome

Identifiers

PMID40759647
PMCPMC12322060

What OpenQuestion holds

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Registered trials

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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.