TISCH

TISCH provides integrated access to and standardized analysis of single-cell RNA sequencing (scRNA-seq) datasets to characterize cellular composition and immune heterogeneity in the tumor microenvironment (TME).

Key Features:

• Extensive Database Integration: Integrates single-cell transcriptomic profiles from nearly two million cells across 76 tumor datasets covering 28 cancer types.
• Standardized Data Processing: Applies a uniform workflow including quality control, batch effect removal, malignant cell classification, cell clustering, cell-type annotation, differential expression analysis, and functional enrichment analysis.
• Interactive Visualization: Provides visualizations of gene expression at single-cell and cluster levels and supports systematic comparisons across cell types, patients, tissue origins, treatment groups, response outcomes, and cancer types.

Scientific Applications:

• Cancer Immunotherapy Research: Supports analysis of tumor–immune interactions relevant to checkpoint blockade therapies targeting co-inhibitory pathways.
• TME Heterogeneity Characterization: Enables characterization of stochastic heterogeneity within the tumor microenvironment to investigate variable patient responses to therapies.
• Comparative Cancer Studies: Facilitates comparative characterization and integration of immune system heterogeneity across different cancer contexts to inform therapeutic strategy development.

Methodology:

Integration of single-cell transcriptomic profiles followed by quality control, batch effect removal, malignant cell classification, cell clustering, cell-type annotation, differential expression analysis, and functional enrichment analysis.