CancerSCEM

CancerSCEM provides an integrated database and analysis platform for exploring single-cell RNA sequencing (scRNA-seq) data to study cellular heterogeneity, immune landscapes, and pathogenesis across human cancers.

Key Features:

• Extensive dataset compilation: Contains scRNA-seq data from 208 cancer samples across 28 studies covering 20 human cancer types.
• Multiscale uniform analyses: Performs multiscale analyses including cell type annotation, functional gene expression profiling, cell interaction network construction, and survival analysis.
• Standardized processing: Applies standardized analytical methods to ensure consistency across integrated studies.
• Integrated analysis functions: Incorporates seven distinct analysis functions for scRNA-seq data analysis.

Scientific Applications:

• Tumor microenvironment characterization: Enables characterization of the tumor microenvironment at single-cell resolution across cancer types.
• Cellular heterogeneity analysis: Supports identification and profiling of cell subpopulations within tumors.
• Immune landscape and interaction studies: Facilitates analysis of immune cell composition and cell–cell interaction networks within tumors.
• Pathogenesis and therapeutic investigation: Aids studies of disease mechanisms and assessment of potential therapeutic targets.
• Survival and clinical correlation: Provides survival analysis to relate single-cell features to clinical outcomes.

Methodology:

Integration and processing of scRNA-seq datasets using standardized analytical methods for consistent cell type annotation and functional gene expression analysis, along with construction of cell interaction networks and survival analysis.