scAPAatlas

scAPAatlas catalogs alternative polyadenylation (APA) events across human and mouse cell types using single-cell RNA sequencing (scRNA-seq) data to enable analysis of cell-type-specific APA and its relationships with gene expression and regulatory factors.

Key Features:

• Cell-Type Specificity: Identifies APA events from scRNA-seq data across 24 human and 25 mouse normal tissues to define cell-type-specific APA patterns.
• Correlation Analysis: Examines the relationship between APA and gene expression levels to assess how alternative polyadenylation correlates with transcript abundance.
• Crosstalk Exploration: Estimates interactions between cell-type-specific APA events and regulatory elements such as microRNAs and RNA-binding proteins.

Scientific Applications:

• Regulatory role analysis: Investigates how APA contributes to post-transcriptional gene regulation by linking APA patterns to gene expression and regulatory factors.
• Development and differentiation studies: Supports analysis of APA dynamics across cellular differentiation and tissue development contexts.
• Disease and environmental response: Enables exploration of APA involvement in health, disease, and responses to environmental changes.

Methodology:

Uses scRNA-seq data from 24 human and 25 mouse normal tissues to identify cell-type-specific APA events, perform correlation analyses between APA and gene expression, and estimate interactions with microRNAs and RNA-binding proteins.