The updated Tumor Immune Single-cell Hub (TISCH2) is a scRNA-seq database, which focuses on tumor microenvironment (TME). TISCH provides detailed cell-type annotation for all curated datasets, enabling the exploration of TME across different cancer types.
- 50 cancer types.
- 190 datasets: 40 datasets with ICB treatment (35 for human and 5 for mouse), 147 non-ICB datasets and 3 PBMC datasets.
- 6,297,320 cells: 1,227,590 malignant cells and 5,069,730 non-malignant cells.
- TF enrichment: Find the potential transcription factors of each cluster in every dataset.
- CCI analysis: 1. A heatmap shows an overview of cell-cell interaction number between different cell clusters; 2. The detail interaction information for a selected cluster (circus plot); 3. The significant ligand-receptor pairs in of source and target clusters (bubble plot).
- Survival: Find the potential transcription factors of each cluster in every dataset.
- Gene-gene correlation: 1. A heatmap shows an overview of cell-cell interaction number between different cell clusters; 2. The detail interaction information for a selected cluster (circus plot); 3. The significant ligand-receptor pairs in of source and target clusters (bubble plot).