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Related Concept Videos

Autoimmune Disorders01:29

Autoimmune Disorders

661
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...
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Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

14.1K
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...
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Related Experiment Video

Updated: Sep 6, 2025

High-Throughput Transcriptome Analysis for Investigating Host-Pathogen Interactions
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A transcriptome atlas and interactive analysis platform for autoimmune disease.

Zhuoqiao Shen1,2,3, Minghao Fang2, Wujianan Sun2,3,4

  • 1School of Data Sciences, University of Science and Technology of China, No. 443, Huangshan Road, Shushan District, Hefei, Anhui 230027, China.

Database : the Journal of Biological Databases and Curation
|June 27, 2022
PubMed
Summary
This summary is machine-generated.

Researchers developed the Interactive Analysis and Atlas for Autoimmune disease (IAAA) database, integrating transcriptome sequencing data from numerous autoimmune disease patients. This tool facilitates gene expression and cell-cell interaction analysis for deeper insights into autoimmune diseases.

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Area of Science:

  • Immunology
  • Genomics
  • Bioinformatics

Background:

  • Next-generation sequencing has generated extensive transcriptome data for autoimmune diseases.
  • A unified database for analyzing this data is currently lacking.
  • Understanding gene transcription in autoimmune diseases is crucial.

Purpose of the Study:

  • To develop a user-friendly web database tool for autoimmune disease transcriptome data analysis.
  • To integrate bulk and single-cell RNA sequencing data.
  • To provide customizable analysis modules for researchers.

Main Methods:

  • Developed the Interactive Analysis and Atlas for Autoimmune disease (IAAA) web database.
  • Integrated bulk RNA-seq data (929 samples, 10 diseases) and single-cell RNA-seq data (783,203 cells, 96 samples, 6 diseases).
  • Implemented analysis modules for gene expression, correlation, and cell-cell interaction.

Main Results:

  • IAAA integrates a substantial volume of autoimmune disease transcriptome data.
  • The database offers customizable analysis options including gene expression, correlation, and cell-cell interaction.
  • Results can be visualized in plots, tables, or PDF formats.

Conclusions:

  • IAAA serves as a valuable resource for autoimmune disease research.
  • The tool enables deeper exploration of transcriptome data's potential.
  • Facilitates understanding of gene transcription's role in autoimmune diseases.