A global database for modeling tumor-immune cell communication

Our database contained five CSV files. All the deposited data was processed and openly available. The CSV table ‘Experimentally verified TIC communication’ contained detailed information of experimentally verified TIC communications including gene symbols, cell types, interaction types, species, experiments, interaction comments and original reference information. Integrated ligand-receptor interactions were displayed in the CSV table ‘Integrated ligand-receptor interactions’ including gene symbols, functions, sources of LR pairs and evidences. Predicted TIC communications based on bulk RNA-seq were stored in the CSV table ‘Predicted TIC communication based on experimentally verified TICs and bulk RNA-seq’ and the CSV table ‘Predicted TIC communication based on ligand-receptor interactions and bulk RNA-seq’. The former dataset contained the detailed information including gene symbols, cell types, cancer types, interaction strength and p values. However, ligands, receptors, functions, evidences, cancer types, interaction strength and p values were recorded in the latter dataset. The CSV table ‘Predicted TIC communication based on scRNA-seq’ consisted of the detailed information of predicted TIC interactions inferred by five algorithms using 32 scRNA-seq datasets and union of ligand-receptor interactions. This dataset contained ligands, receptors, cell types, prediction methods, evidences, datasets, cancer types and cancer subtypes.