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Related Concept Videos

Autoimmune Disorders01:29

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...
Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

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.
GWAS does not require the identification of the target gene involved in...
Immunoprecipitation01:20

Immunoprecipitation

Immunoprecipitation, or IP, is a widely used technique that employs protein-antibody interactions to isolate proteins or protein complexes in their native state for studying protein-protein interactions, quaternary structures, or supramolecular complexes. Various modifications of the technique, including chromatin IP, cross-linking IP, and fluorescence IP, are commonly used.
Chromatin Immunoprecipitation
Chromatin immunoprecipitation, also known as ChIP, is used to study protein-DNA or...

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Related Experiment Video

Updated: Jul 18, 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

Bioinformatics for study of autoimmunity.

Nikolai Petrovsky1, Vladimir Brusic

  • 1Flinders Medical Centre/Flinders University, Bedford Park, Adelaide, SA, 5042, Australia.

Autoimmunity
|December 21, 2006
PubMed
Summary

Bioinformatics and immunoinformatics are crucial for analyzing vast autoimmunity data. These advanced strategies enable efficient data retrieval, interpretation, and a deeper understanding of immune system function in autoimmunity research.

Area of Science:

  • Immunoinformatics
  • Bioinformatics
  • Autoimmunity Research

Background:

  • Explosive growth in biological data (sequence, genetic, proteomic, clinical, epidemiological) relevant to autoimmunity.
  • Need for advanced bioinformatics strategies to manage and interpret complex, high-volume biological data.
  • Emergence of immunoinformatics as a specialized field for immunological data analysis.

Purpose of the Study:

  • To review recent advances in immunoinformatics pertinent to autoimmunity research.
  • To highlight the utility of bioinformatics tools for accessing and utilizing biological data in autoimmunity.
  • To showcase how immunoinformatics transforms the understanding of immune system function.

Main Methods:

  • Review of specialized databases and bioinformatics tools for immunological data storage and analysis.

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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: Jul 18, 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

  • Examination of genomics and proteomics tools applicable to autoimmunity.
  • Analysis of tools for studying B-cell and T-cell epitopes, integrative approaches, and web servers.

    • Main Results:

    • Significant progress in developing specialized tools for immunological data management and analysis.
    • Demonstration of immunoinformatics' role in transforming the understanding of immune system function.
    • Identification of key databases, tools, and approaches in immunoinformatics for autoimmunity research.

    Conclusions:

    • Bioinformatics and immunoinformatics are essential for leveraging the wealth of biological data in autoimmunity research.
    • Advanced computational strategies are vital for efficient data retrieval, analysis, and interpretation.
    • Immunoinformatics offers transformative insights into immune system function and autoimmunity.