Home > Publications database > Unveiling genetic signatures of immune response in immune-related diseases through single-cell eQTL analysis across diverse conditions. > print

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024 7 _ |a 10.1038/s41467-025-61192-4
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082 _ _ |a 500
100 1 _ |a Zhang, Zhenhua
|0 0000-0002-1781-7127
|b 0
245 _ _ |a Unveiling genetic signatures of immune response in immune-related diseases through single-cell eQTL analysis across diverse conditions.
260 _ _ |a [London]
|c 2025
|b Springer Nature
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520 _ _ |a 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.
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650 _ 2 |a Humans
|2 MeSH
650 _ 2 |a Quantitative Trait Loci: genetics
|2 MeSH
650 _ 2 |a Single-Cell Analysis: methods
|2 MeSH
650 _ 2 |a COVID-19: immunology
|2 MeSH
650 _ 2 |a COVID-19: genetics
|2 MeSH
650 _ 2 |a COVID-19: virology
|2 MeSH
650 _ 2 |a SARS-CoV-2: immunology
|2 MeSH
650 _ 2 |a Transcriptome
|2 MeSH
650 _ 2 |a Male
|2 MeSH
650 _ 2 |a Female
|2 MeSH
650 _ 2 |a Gene Regulatory Networks
|2 MeSH
650 _ 2 |a Monocytes: immunology
|2 MeSH
650 _ 2 |a Monocytes: metabolism
|2 MeSH
650 _ 2 |a Immune System Diseases: genetics
|2 MeSH
650 _ 2 |a Immune System Diseases: immunology
|2 MeSH
650 _ 2 |a Adult
|2 MeSH
650 _ 2 |a Immunity: genetics
|2 MeSH
650 _ 2 |a Genetic Predisposition to Disease
|2 MeSH
700 1 _ |a Li, Wenchao
|0 0000-0002-7956-0742
|b 1
700 1 _ |a Zhan, Qiuyao
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700 1 _ |a Aillaud, Michelle
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700 1 _ |a Botey-Bataller, Javier
|0 0000-0003-3512-3150
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700 1 _ |a Zoodsma, Martijn
|0 0000-0003-3636-2209
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700 1 _ |a Ter Horst, Rob
|0 0000-0003-0576-5873
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700 1 _ |a Joosten, Leo A B
|0 0000-0001-6166-9830
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700 1 _ |a Bock, Christoph
|0 0000-0001-6091-3088
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700 1 _ |a Schulte, Leon N
|0 0000-0001-6814-9344
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700 1 _ |a Xu, Cheng-Jian
|0 0000-0003-1586-4672
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700 1 _ |a Netea, Mihai G
|0 0000-0003-2421-6052
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700 1 _ |a Bonder, Marc Jan
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700 1 _ |a Li, Yang
|0 0000-0003-4022-7341
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773 _ _ |a 10.1038/s41467-025-61192-4
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