scPlantDB

scPlantDB provides a curated compendium of plant single-cell RNA sequencing (scRNA-seq) transcriptomic profiles to support comparative analysis of cell types and marker genes across multiple plant species.

Key Features:

• Extensive dataset integration: Integrates 67 high-quality scRNA-seq datasets comprising approximately 2.5 million cells from 17 plant species for cross-dataset and cross-species analyses.
• Rigorous data curation and quality control: Applies manual curation and strict quality-control measures to ensure standardized, reliable datasets sourced from public databases.
• Systematic comparison and functional annotation: Provides systematic comparison of marker genes and functional annotation of cell types across diverse datasets and species.

Scientific Applications:

• Cell-type identification: Enables identification and annotation of plant cell types using scRNA-seq marker genes across integrated datasets.
• Cellular heterogeneity analysis: Supports characterization of cellular diversity and heterogeneity within plant tissues at single-cell resolution.
• Marker discovery and comparative marker analysis: Facilitates discovery of novel cell-type markers and comparison of marker expression across species.
• Comparative genomics and evolutionary studies: Enables comparative analyses of cell-type expression patterns for evolutionary and cross-species investigations.

Methodology:

Collected scRNA-seq profiles from publicly available databases, performed manual curation and strict quality control, applied standardized processing protocols, and integrated the datasets.