Figure 2
Revealing CCC upstream/downstream pathways in the liver cancer dataset. (A) Sankey graph of cell interaction pathways in the cancer dataset from monocyteDC cells to CAFs. The first column represents Ligand Ontology, while the second column represents high-activity ligands. The third column represents the receptors corresponding to the ligands in the cellchatDB. The fourth column represents the predicted downstream pathways affected by these ligands. The thickness of the flow from the third column to the fourth column represents the number of downstream target genes in the pathway which is associated with the ligand. The thicker the flow, the greater the impact of the ligand-receptor pair on the corresponding downstream pathway. (B) Sankey graph of cell interaction pathways in the cancer dataset from monocyteDC cells to Tumor I cells. (C) Spatial distribution of Spp1 expression (middle) and the number of associated genes in the adjacent cells (right). The left is the cell-type overview of the dataset.

Revealing CCC upstream/downstream pathways in the liver cancer dataset. (A) Sankey graph of cell interaction pathways in the cancer dataset from monocyteDC cells to CAFs. The first column represents Ligand Ontology, while the second column represents high-activity ligands. The third column represents the receptors corresponding to the ligands in the cellchatDB. The fourth column represents the predicted downstream pathways affected by these ligands. The thickness of the flow from the third column to the fourth column represents the number of downstream target genes in the pathway which is associated with the ligand. The thicker the flow, the greater the impact of the ligand-receptor pair on the corresponding downstream pathway. (B) Sankey graph of cell interaction pathways in the cancer dataset from monocyteDC cells to Tumor I cells. (C) Spatial distribution of Spp1 expression (middle) and the number of associated genes in the adjacent cells (right). The left is the cell-type overview of the dataset.

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