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Related Experiment Video

Updated: Jun 4, 2026

The bm12 Inducible Model of Systemic Lupus Erythematosus (SLE) in C57BL/6 Mice
12:04

The bm12 Inducible Model of Systemic Lupus Erythematosus (SLE) in C57BL/6 Mice

Published on: November 1, 2015

Single-cell sequencing in systemic lupus erythematosus.

Anrui Yu1, Jingyi Wu1, Dehao Zhu2

  • 1Department of Rheumatology and Immunology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Lupus
|June 3, 2026
PubMed
Summary

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Single-cell RNA sequencing reveals immune cell diversity in systemic lupus erythematosus (SLE), uncovering new therapeutic targets and biomarkers for this complex autoimmune disease.

Area of Science:

  • Immunology
  • Genomics
  • Computational Biology

Background:

  • Systemic lupus erythematosus (SLE) is a complex autoimmune disease with diverse clinical features and multi-organ impact.
  • Limited understanding of SLE pathogenesis stems from the cellular and molecular heterogeneity of immune cells across different tissues.
  • A comprehensive review of single-cell technologies in SLE research is crucial to address knowledge gaps.

Purpose of the Study:

  • To synthesize recent advances in applying single-cell technologies to systemic lupus erythematosus (SLE) research.
  • To highlight how single-cell RNA sequencing (scRNA-seq) aids in understanding SLE pathogenesis.
  • To identify potential therapeutic targets and prognostic biomarkers for SLE.

Main Methods:

  • Application of single-cell RNA sequencing (scRNA-seq) to various SLE sample types, including peripheral blood, kidney, skin, and bone marrow.
Keywords:
heterogeneitysingle-cell RNA sequencingsystemic lupus erythematosus

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Related Experiment Videos

Last Updated: Jun 4, 2026

The bm12 Inducible Model of Systemic Lupus Erythematosus (SLE) in C57BL/6 Mice
12:04

The bm12 Inducible Model of Systemic Lupus Erythematosus (SLE) in C57BL/6 Mice

Published on: November 1, 2015

Analysis of Fecal Microbiota Dynamics in Lupus-Prone Mice Using a Simple, Cost-Effective DNA Isolation Method
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Analysis of Fecal Microbiota Dynamics in Lupus-Prone Mice Using a Simple, Cost-Effective DNA Isolation Method

Published on: May 2, 2022

  • Analysis of high-resolution transcriptomic data to identify distinct immune cell subpopulations and their functional states.
  • Integration of scRNA-seq with spatial transcriptomics and machine learning for enhanced data interpretation.

    • Main Results:

    • scRNA-seq identified distinct immune cell subsets and functional alterations in SLE, such as aberrant B- and T-cell populations.
    • Dysregulated interferon-stimulated genes and pathogenic low-density granulocytes were characterized in SLE patients.
    • Cellular heterogeneity deconvolution revealed cell-specific pathways offering potential therapeutic targets and prognostic biomarkers.
    • Integration with spatial transcriptomics and machine learning enabled mapping of disease-specific immune niches and prediction of clinical outcomes.

    Conclusions:

    • Single-cell RNA sequencing (scRNA-seq) is a transformative technology for decoding SLE pathogenesis.
    • High-resolution insights from scRNA-seq bridge the gap between fundamental research and clinical applications in SLE.
    • scRNA-seq findings guide the development of targeted therapies and prognostic biomarkers for SLE.