ADEIP

ADEIP analyzes age-dependent gene expression and immune profiles across human tissues to characterize molecular and immunological changes associated with aging.

Key Features:

• Comprehensive Data Integration: Consolidates GTEx RNA-Seq datasets comprising 16,704 samples across 30 major tissues grouped into six age ranges (20 to 79 years) and integrates additional datasets including SARS-CoV-2-related and human mesenchymal stem cell–associated gene sets.
• Dynamic Gene Expression Analysis: Performs genome-wide, age-stratified analyses of gene expression and applies gene set enrichment analysis to identify age-associated pathways and trends.
• Immune Profile Characterization: Assesses genes from 34 known immune function categories and evaluates immune cell compositions across tissues and age groups to characterize immunological changes with aging.
• Cross-tissue Comparative Analysis: Enables comparison of age-dependent expression and immune status across multiple tissues to reveal tissue-specific and shared aging signatures.

Scientific Applications:

• Age-Related Research: Supports investigation of molecular and immunological processes underlying human aging across tissues and defined age groups.
• Disease Mechanism Exploration: Facilitates study of how age-dependent gene expression and immune changes influence susceptibility and response to pathogens such as SARS-CoV-2 and to genes associated with human mesenchymal stem cells.
• Organogenesis Studies: Provides tissue-resolved expression and immune profile data for exploring the impact of aging on organ development and function.

Methodology:

Uses GTEx RNA-Seq data to perform genome-wide gene expression and immune profile analyses with dynamic, age-stratified analysis and gene set enrichment analysis, and integrates additional datasets including SARS-CoV-2 and mesenchymal stem cell–associated genes.