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Related Concept Videos

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Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
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Related Experiment Video

Updated: Nov 9, 2025

The bm12 Inducible Model of Systemic Lupus Erythematosus SLE in C57BL/6 Mice
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Transcriptomic studies of systemic lupus erythematosus.

Masahiro Nakano1, Yukiko Iwasaki1, Keishi Fujio2

  • 1Department of Allergy and Rheumatology, Graduate School of Medicine, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.

Inflammation and Regeneration
|April 10, 2021
PubMed
Summary

Systemic lupus erythematosus (SLE) transcriptomic studies reveal complex interferon signatures and cell-type specific gene expression patterns. Further research is needed to identify novel biomarkers and refine patient stratification for improved SLE management.

Keywords:
Lupus nephritisReviewSystemic lupus erythematosusTranscriptome

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Area of Science:

  • Immunology
  • Genomics
  • Systemic Autoimmune Diseases

Background:

  • Systemic lupus erythematosus (SLE) presents significant clinical heterogeneity, complicating management.
  • Previous transcriptomic studies identified several disease-relevant gene signatures in SLE patients.
  • The interferon (IFN) signature, involving multiple IFN subtypes, is a key focus in SLE research.

Purpose of the Study:

  • To review and discuss findings from transcriptomic studies in SLE.
  • To highlight the complexities of gene expression signatures, including IFN, myeloid, plasma cell, and T cell signatures.
  • To identify limitations in current transcriptomic research and suggest future directions for SLE biomarker discovery and patient stratification.

Main Methods:

  • Analysis of existing microarray and RNA sequencing data from SLE studies.
  • Review of cell-type-specific gene expression analyses, including CD8+ T cell exhaustion signatures.
  • Inclusion of recent single-cell RNA sequencing findings from SLE blood and tissues.

Main Results:

  • Transcriptomic studies reveal complex interferon (IFN) signatures (IFNα, IFNβ, IFNγ) in SLE.
  • Myeloid lineage, neutrophil, plasma cell, and T cell exhaustion signatures correlate with SLE activity, nephritis, and pregnancy complications, though some findings are debated.
  • Single-cell RNA sequencing highlights molecular heterogeneity and identifies distinct subpopulations involved in SLE pathogenesis.

Conclusions:

  • Transcriptomic studies provide valuable insights into SLE pathogenesis and heterogeneity.
  • Further investigation is crucial to validate identified signatures and explore novel therapeutic targets.
  • Precise patient stratification based on molecular profiles is essential for advancing SLE treatment strategies.