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

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.

Authors

Institutions

Publication Details

Journal
Nature Communications
Published
2025-08-04
DOI
https://doi.org/10.1038/s41467-025-61192-4
Citations
2
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
1.61

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Leon N. Schulte, Marc Jan Bonder, Martijn Zoodsma, Rob ter Horst et al.
2 citations
Nature Communications
Single-cell and spatial transcriptomics
1.61
article

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

Leon N. Schulte, Marc Jan Bonder, Martijn Zoodsma, Rob ter Horst, Mihai Gheorghe Netea, Leo A. B. Joosten, Michelle Aillaud, Zhenhua Zhang, Cheng‐Jian Xu, Christoph Bock, Qiuyao Zhan, Javier Botey-Bataller, Wenchao Li, Yang Li
article en
2 citations

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.

Nature CommunicationsVol. 16(1)
University Medical Center Groningen (NL), University of Bonn (DE), Austrian Academy of Sciences (AT), Radboud University Nijmegen (NL), Philipps University of Marburg (DE), Austrian Research Institute for Artificial Intelligence (AT), University of Groningen (NL), German Cancer Research Center (DE), Iuliu Hațieganu University of Medicine and Pharmacy (RO), Heidelberg University (DE), Radboud University Medical Center (NL), Medizinische Hochschule Hannover (DE), Radboud Institute for Molecular Life Sciences (NL), Oncode Institute (NL), Helmholtz Centre for Infection Research (DE), CeMM Research Center for Molecular Medicine (AT), German Center for Lung Research (DE), European Molecular Biology Laboratory (DE), Centre for Individualised Infection Medicine (DE), Center for Experimental and Clinical Infection Research (DE), Artificial Intelligence in Medicine (Canada) (CA), Medical University of Vienna (AT)
European Commission, Deutsche Forschungsgemeinschaft, Radboud Universiteit, China Scholarship Council, Radboud Universitair Medisch Centrum, National Institutes of Health, National Heart, Lung, and Blood Institute, National Institute of Mental Health, National Institute on Drug Abuse, National Human Genome Research Institute, NIH Office of the Director, National Cancer Institute, National Institute of Neurological Disorders and Stroke, Common Fund
Good health and well-being
Openalex Percentile: Top 16%
Single-cell and spatial transcriptomics
1.61
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.