SCDevDB

SCDevDB consolidates 10 human single-cell RNA-seq datasets into 176 developmental cell groups organized across 24 developmental pathways to profile single-cell gene expression dynamics during human development.

Key Features:

• Gene Expression Search and Visualization: Provides searchable gene expression profiles across multiple developmental pathways at single-cell resolution.
• Differentially Expressed Genes (DEGs): Supplies lists of DEGs for each developmental pathway to identify genes with significant expression changes between stages.
• T-distributed Stochastic Neighbor Embedding (t-SNE) Maps: Includes t-SNE maps that illustrate relationships among developmental stages based on DEGs.
• Functional Analysis (GO and KEGG): Integrates Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis results for identified DEGs.
• Pathway Construction: Organizes the collected data into 24 constructed developmental pathways to represent stage-wise progression and cellular differentiation.

Scientific Applications:

• Study of gene regulation during development: Enables analysis of stage-specific gene expression changes and regulatory patterns across human developmental pathways.
• Identification of key regulatory genes: Supports detection of candidate regulatory genes via DEGs associated with developmental transitions.
• Exploration of cellular heterogeneity: Facilitates examination of cell-type and stage-specific heterogeneity at single-cell resolution within developmental contexts.

Methodology:

Consolidation of 10 human single-cell RNA-seq datasets and categorization into 176 developmental cell groups and 24 pathways; identification and provision of DEGs for each pathway; generation of t-SNE maps based on DEGs; integration of GO and KEGG analysis results for the DEGs.