Figure 4.
Figure 4. Pseudotime analysis of scRNAseq data. (A) Supervised monocle plot displaying the trajectory of day-29 hiPSC-derived erythroid cells along pseudotime indicating a gradation from GFP−HBBlow to GFP+ cells. The 3 input fractions specified when performing this analysis are shown in the violin plot on the right. (B) Principal component (PC) analysis plot constructed using the top 500 differentially expressed genes between the 3 conditions illustrating the separation of day-29 hiPSC-derived erythroid cells (top). Density graph showing the distribution of the 3 subpopulations with respect to PC1 (bottom). (C) Heatmap showing gene expression changes over pseudotime. Vertical columns represent units of pseudotime. (D) Scatter plots illustrating the expression pattern of selected genes over pseudotime. Normalized expression is shown as transcripts per million (TPM).

Pseudotime analysis of scRNAseq data. (A) Supervised monocle plot displaying the trajectory of day-29 hiPSC-derived erythroid cells along pseudotime indicating a gradation from GFPHBBlow to GFP+ cells. The 3 input fractions specified when performing this analysis are shown in the violin plot on the right. (B) Principal component (PC) analysis plot constructed using the top 500 differentially expressed genes between the 3 conditions illustrating the separation of day-29 hiPSC-derived erythroid cells (top). Density graph showing the distribution of the 3 subpopulations with respect to PC1 (bottom). (C) Heatmap showing gene expression changes over pseudotime. Vertical columns represent units of pseudotime. (D) Scatter plots illustrating the expression pattern of selected genes over pseudotime. Normalized expression is shown as transcripts per million (TPM).

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