Fig. 3: Pseudotime trajectory analysis of tumor cells in Zbp1−/− and WT groups. | Cell Death & Disease

Fig. 3: Pseudotime trajectory analysis of tumor cells in Zbp1−/− and WT groups.

From: Single-cell RNA sequencing identifies ZBP1-dependent mechanisms in OSCC progression

Fig. 3: Pseudotime trajectory analysis of tumor cells in Zbp1−/− and WT groups.The alternative text for this image may have been generated using AI.

A–C Pseudotime analysis of tumor cells using Monocle2. Each dot on the graph denotes an individual cell, systematically arranged according to the inferred developmental trajectory. The x-axis and y-axis, labeled as Component 1 and Component 2, respectively, represent the two principal dimensions obtained through DDRTree-based dimensionality reduction. A Cells ordered along pseudotime. B Cells grouped into distinct ‘states’, which represent transcriptionally similar cell clusters along the trajectory. C Distribution of WT and Zbp1−/− tumor cells along the trajectory. D Proportion of tumor cells from WT and Zbp1−/− mice within each state identified in Fig. 3B. E Heatmap of functional enrichment for the top 100 differentially expressed genes. F Heatmap showing differentially expressed genes along distinct branches and GO Biological Process (GO BP) enrichment across clusters. G Dynamic expression patterns of representative differentially expressed genes that determine cell fate in Zbp1−/− and WT tumor cells. H Survival analysis of genes from (G) using the GEPIA2 database.

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