Single-Cell Sequencing Analysis Based on Public Databases for Constructing a Metastasis-Related Prognostic Model for Gastric Cancer

Figure 2

Dimensionality reduction clustering and pseudotime series analysis. (a) Spatial distribution of metastatic and nonmetastatic gastric cancer cells. It can be seen that gastric cancer cells are well divided into metastatic and nonmetastatic clusters. (b) Expression of immune cell markers in 2 clusters. (c) Spatial distribution of cluster1 and cluster0. (d) Spatial distribution of immune cells and nonimmune cells. (e) Heat map of the distribution of the top 10 differential genes in the two clusters. (f) Pseudotime series analysis. Gastric cancer-immune cells differentiate from the deeper blue to the lighter blue. (g) There are 5 states of gastric cancer-immune cell differentiation. (h) The cells analyzed are all gastric cancer-immune cells. (i) The differentiation track of metastatic gastric cancer-immune cells and nonmetastatic gastric cancer-immune cells.

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