Single-cell landscape of immune cells in multiple autoimmune diseases

Autoimmune pathologies arise from dysregulated immune activation, yet conserved molecular programs across autoimmune contexts remain incompletely characterized. Here, we analyzed integrative single-cell RNA sequencing data of over 1.3 million cells from 239 samples spanning six autoimmune diseases, revealing disease-specific and cell type-specific transcriptional programs. Systematic immune profiling identified 41 functionally annotated gene clusters (GCs) with cross-disease activation. We identified a cytotoxic <i>CD8</i> <sup>+</sup> T cell-enriched gene cluster (GC40) that drives enhanced cytotoxic function and clonal expansion across four autoimmune diseases. In parallel, we identified a secretory granule lumen-associated GC08 that is highly expressed in <i>CD14</i> <sup>+</sup> monocytes and promotes plasma cell activation through upregulation of TNFSF13B secretion. Furthermore, we leveraged a disease classifier to discriminate autoimmune disease types and healthy states. Our study provides both a resource and a predictive framework at the single-cell level, supporting future targeted therapies for autoimmune diseases.

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Journal
iScience
Published
2025-12-20
DOI
https://doi.org/10.1016/j.isci.2025.114515
Primary Topic
Single-cell and spatial transcriptomics
Type
article
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article

Single-cell landscape of immune cells in multiple autoimmune diseases

Wujianan Sun, Guosheng Wang, Meifang Tang, Kun Chen et al.
iScience
Single-cell and spatial transcriptomics
article

Single-cell landscape of immune cells in multiple autoimmune diseases

Wujianan Sun, Guosheng Wang, Meifang Tang, Kun Chen, Kun Qu, Lin Zhu, Yufang Shi, Zitian Liu, Qian Liu, Xu Liu, Xiaomei Li, Junyu Wang, Jun Lin, Jiang Chen, Zheng Ao, Wen Zhang
article en

Abstract

Autoimmune pathologies arise from dysregulated immune activation, yet conserved molecular programs across autoimmune contexts remain incompletely characterized. Here, we analyzed integrative single-cell RNA sequencing data of over 1.3 million cells from 239 samples spanning six autoimmune diseases, revealing disease-specific and cell type-specific transcriptional programs. Systematic immune profiling identified 41 functionally annotated gene clusters (GCs) with cross-disease activation. We identified a cytotoxic <i>CD8</i> <sup>+</sup> T cell-enriched gene cluster (GC40) that drives enhanced cytotoxic function and clonal expansion across four autoimmune diseases. In parallel, we identified a secretory granule lumen-associated GC08 that is highly expressed in <i>CD14</i> <sup>+</sup> monocytes and promotes plasma cell activation through upregulation of TNFSF13B secretion. Furthermore, we leveraged a disease classifier to discriminate autoimmune disease types and healthy states. Our study provides both a resource and a predictive framework at the single-cell level, supporting future targeted therapies for autoimmune diseases.

iScienceVol. 29(1)
University of Science and Technology of China (CN)
Openalex Percentile: Top 62%
Single-cell and spatial transcriptomics
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