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Updated: Jul 3, 2025

Single-cell Analysis of Immunophenotype and Cytokine Production in Peripheral Whole Blood via Mass Cytometry
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Single-cell Analysis of Immunophenotype and Cytokine Production in Peripheral Whole Blood via Mass Cytometry

Published on: June 26, 2018

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Single-cell transcriptome landscape of circulating CD4+ T cell populations in autoimmune diseases

Yoshiaki Yasumizu1, Daiki Takeuchi2, Reo Morimoto3

  • 1Department of Experimental Immunology, Immunology Frontier Research Center, Osaka University, Osaka, Japan; Department of Neurology, Graduate School of Medicine, Osaka University, Osaka, Japan; Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives (OTRI), Osaka University, Osaka, Japan.

Cell Genomics
|February 15, 2024
PubMed

Insights

This study reveals 12 gene programs driving CD4+ T cell diversity in autoimmune diseases. These programs help characterize diseases and predict clinical status, offering new insights into T cell heterogeneity.

Area of Science:

  • Immunology
  • Genomics
  • Computational Biology

Background:

  • CD4+ T cells are crucial in autoimmune diseases, but their diverse roles are not fully understood due to cellular heterogeneity.
  • Understanding CD4+ T cell subpopulations is vital for elucidating autoimmune disease mechanisms and progression.

Approach:

  • Utilized decomposition-based transcriptome characterization and canonical clustering to analyze CD4+ T cell heterogeneity.
  • Performed a large-scale meta-analysis of over 1.8 million peripheral CD4+ T cells from 953 individuals across 20 diseases.
  • Developed a reference map of CD4+ T cell subpopulations and their alterations in various autoimmune conditions.

Key Points:

  • Identified 12 independent gene programs that explain the heterogeneity within CD4+ T cells.
  • Demonstrated that these transcriptional programs effectively characterize autoimmune diseases and predict clinical status.
  • Found disease-specific enrichment of genetic variants associated with autoimmune diseases within these 12 gene programs.

Conclusions:

  • The 12 gene programs provide a comprehensive landscape of CD4+ T cell subpopulations in autoimmune diseases.
  • This framework enhances our understanding of T cell heterogeneity and its implications for disease.
  • Offers potential for improved disease characterization and therapeutic target identification in autoimmune disorders.

Keywords:
CD4(+) T cellsGWASautoimmune diseasesimmunogenomicssingle-cell RNA-seq

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