CardioAtlas

CardioAtlas provides comprehensive analysis of single-cell transcriptome data in cardiovascular tissues and diseases across human and mouse reference atlases.

Key Features:

• Cell-type prediction: Predicts cell types for scRNA-seq data using constructed reference atlases.
• Marker gene identification: Identifies marker genes for cardiovascular cell types.
• Functional enrichment analysis: Performs functional enrichment analysis on identified genes.
• Cell-type-specific transcription regulon identification: Identifies transcription regulons specific to cardiovascular cell types.
• Cell-cell communication analysis: Analyzes cell-cell communication networks in cardiovascular tissues and diseases.
• Personalized analysis: Supports user upload of scRNA-seq data for customized analysis.

Scientific Applications:

• Cardiovascular system development research: Supports investigation of cardiovascular system development through single-cell transcriptome analysis.
• Cardiovascular disease mechanism studies: Enables analysis of mechanisms underlying cardiovascular diseases at single-cell resolution.
• Cell population characterization: Facilitates identification and characterization of previously unrecognized cell populations in cardiovascular tissues.
• Cross-species cardiovascular comparison: Supports comparative analysis between human and mouse cardiovascular systems using species-specific reference atlases.

Methodology:

CardioAtlas was constructed through large-scale literature retrieval and manual annotation to build scRNA-seq reference atlases for human and mouse cardiovascular systems and diseases.