Fig. 3 | Scientific Data

Fig. 3

From: A global database for modeling tumor-immune cell communication

Fig. 3The alternative text for this image may have been generated using AI.

The predicted interactions stored in TICCom. (a) The number of samples in each cancer type from different bulk RNA-seq resources. The datasets with serial numbers containing MTAB or GSE were obtained from the EMBL-EBI Expression Atlas. (b) The number of predicted verified tumor-immune cell direct interactions and that of predicted ligand-receptor interactions in bulk RNA-seq data from 25 cancer types. The significant p values of TCGA and ICGC cancer were set at 0.05; however, the significant p value of EMBL was set at 0.1 because of the smaller number of samples. (c) The bubble plot showed the number of predicted ligand-receptor interactions that occurred in each cancer and each immune cell inferred by five algorithms based on 32 scRNA-seq datasets from 13 cancer types and the integrated ligand-receptor interactions. The bar plot showed the number of cells in each cancer. The size of the bubble indicated the number of predicted ligand-receptor interactions.

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