IAAA

IAAA integrates bulk RNA-seq and single-cell RNA-seq transcriptome data to enable analysis of gene expression patterns and cell-cell interactions in autoimmune diseases.

Key Features:

• Data Integration: Consolidates bulk RNA-seq from 929 samples across 10 autoimmune diseases and single-cell RNA-seq from 783,203 cells in 96 samples across six autoimmune diseases.
• Customizable Analysis Modules: Provides modules for gene expression analysis, differential gene expression detection, correlation studies, similar gene detection, and cell-cell interaction mapping.
• Data Output Formats: Presents analysis results as plots, tables, and PDF files.

Scientific Applications:

• Gene expression profiling: Investigate gene expression patterns associated with diverse autoimmune conditions using integrated transcriptome data.
• Biomarker identification: Identify candidate biomarkers through differential gene expression analysis.
• Gene correlation analysis: Explore correlations between genes to infer potential functional relationships in disease mechanisms.
• Cross-disease gene comparison: Detect similar genes that may play analogous roles across different autoimmune diseases.
• Cell-cell interaction analysis: Analyze cell-cell interactions to characterize cellular dynamics within affected tissues.

Methodology:

Integration of large-scale bulk RNA-seq and single-cell RNA-seq transcriptome datasets from autoimmune disease studies.