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Related Experiment Video

Updated: Jun 22, 2026

Generation of Two-color Antigen Microarrays for the Simultaneous Detection of IgG and IgM Autoantibodies
10:16

Generation of Two-color Antigen Microarrays for the Simultaneous Detection of IgG and IgM Autoantibodies

Published on: September 15, 2016

Deconvolution of blood microarray data identifies cellular activation patterns in systemic lupus erythematosus.

Alexander R Abbas1, Kristen Wolslegel, Dhaya Seshasayee

  • 1Department of Bioinformatics, Genentech Inc, South San Francisco, CA, USA. abbas@gene.com

Plos One
|July 2, 2009
PubMed
Summary

Microarray expression deconvolution accurately quantifies immune cells in Systemic Lupus Erythematosus (SLE) blood. Novel patterns of leukocyte activation correlate with disease severity, suggesting new therapeutic targets for this complex autoimmune condition.

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Area of Science:

  • Immunology
  • Genomics
  • Computational Biology

Background:

  • Systemic Lupus Erythematosus (SLE) is a complex autoimmune disease characterized by significant alterations in peripheral leukocyte populations.
  • Understanding these leukocyte dynamics in SLE is crucial but remains incomplete.
  • Existing methods struggle to rigorously characterize mixed cell populations in blood.

Purpose of the Study:

  • To apply microarray expression deconvolution to analyze peripheral blood leukocyte populations in SLE.
  • To identify novel patterns of immune cell activation and their relationship to clinical variables.
  • To enhance the understanding of SLE immunopathology and explore potential therapeutic avenues.

Main Methods:

  • Utilized microarray expression deconvolution to quantify cell types and states in real blood samples and cell line mixtures.

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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

Related Experiment Videos

Last Updated: Jun 22, 2026

Generation of Two-color Antigen Microarrays for the Simultaneous Detection of IgG and IgM Autoantibodies
10:16

Generation of Two-color Antigen Microarrays for the Simultaneous Detection of IgG and IgM Autoantibodies

Published on: September 15, 2016

Single-cell Analysis of Immunophenotype and Cytokine Production in Peripheral Whole Blood via Mass Cytometry
12:36

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

Published on: June 26, 2018

  • Characterized a wide range of peripheral leukocyte populations in SLE patients.
  • Correlated identified immune cell patterns with clinical data, disease severity, and treatment responses.

    • Main Results:

    • Demonstrated the accuracy of microarray expression deconvolution for analyzing blood cell composition.
    • Uncovered specific activation patterns in NK and T helper lymphocytes.
    • Identified expansion and activation of monocytes, NK cells, and T helper cells, linking them to the interferon signature in SLE.
    • Observed correlations between leukocyte dynamics, disease severity, and treatment.

    Conclusions:

    • Microarray expression deconvolution is a powerful tool for dissecting complex immune cell landscapes in SLE.
    • Specific leukocyte activation patterns, particularly involving monocytes, NK cells, and T helper cells, are central to SLE pathogenesis and its interferon signature.
    • These findings provide insights into SLE pathology and suggest potential targets for novel therapeutic interventions.