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Autoimmune Disorders

Autoimmune Disorders

Autoimmune diseases are a group of disorders in which the body's immune system mistakenly attacks its own cells, tissues, and organs. This results from an overactive immune response against substances and tissues normally present in the body. Let's delve into the concept and mechanism of autoimmune diseases from an immune system point of view, explore different causes and examples of such diseases, and discuss potential solutions.
Concept and Mechanism of Autoimmune Diseases
The immune system...

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Updated: Jun 23, 2026

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

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

Published on: September 15, 2016

Microarray analysis of autoimmune diseases by machine learning procedures.

Rubén Armañanzas¹, Borja Calvo, Iñaki Inza

¹Department of Computer Science and Artificial Intelligence, University of the Basque Country, 20080 San Sebastian, Spain. ruben@si.ehu.es

IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society

|May 9, 2009

Summary

This summary is machine-generated.

This study identifies 150 key genes distinguishing autoimmune diseases like systemic lupus erythematosus (SLE) and primary antiphospholipid syndrome (PAPS) from healthy individuals, revealing novel regulatory pathways and potential E2F involvement in autoimmunity.

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

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

Published on: June 26, 2018

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Last Updated: Jun 23, 2026

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

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

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

Published on: June 26, 2018

Area of Science:

Immunology
Genomics
Computational Biology

Background:

Autoimmune diseases like systemic lupus erythematosus (SLE) and primary antiphospholipid syndrome (PAPS) share common features but have unknown genetic origins.
Microarray gene expression profiling offers insights into disease pathogenesis.

Purpose of the Study:

To apply a novel machine learning-based gene selection technique to analyze microarray data from SLE and PAPS patients.
To identify key genes and regulatory pathways involved in the pathogenesis of these autoimmune diseases.

Main Methods:

Utilized a novel statistical technique combining data discretization, consensus gene selection, and multivariate correlation.
Analyzed microarray expression data from patients with SLE, PAPS, and healthy controls.

Main Results:

Identified a set of 150 genes that effectively discriminate between SLE/PAPS patients and healthy individuals.
Validated the relevance of this gene set using univariate and multivariate statistical analyses.
Discovered an interferon-regulated gene signature and identified altered pathways involving PTEN, TNF, and BCL-2.
Found a significant number of identified genes possess E2F binding motifs, suggesting a role for E2F in autoimmunity regulation.

Conclusions:

The study successfully identified a distinct gene signature for SLE and PAPS, offering new insights into their pathogenesis.
The findings highlight the potential role of E2F transcription factor in the regulation of autoimmune diseases.
This research provides a foundation for further investigation into the genetic underpinnings and therapeutic targets for SLE and PAPS.