Fig. 5: Metabolic labeling-based RNA velocity analysis of HCT116 cells in response to 5-AZA-CdR treatment. | Nature Communications

Fig. 5: Metabolic labeling-based RNA velocity analysis of HCT116 cells in response to 5-AZA-CdR treatment.

From: Well-TEMP-seq as a microwell-based strategy for massively parallel profiling of single-cell temporal RNA dynamics

Fig. 5

UMAP visualization of HCT116 cells treated with 5-AZA-CdR for 0/1/2/3 d characterized by conventional splicing-based (upper-left) or metabolic labeling-based (lower-left) RNA velocity analysis. Cells are color-coded by treatment time. The streamlines reveal the integration paths of local projections moving from the observed state to the extrapolated future state. The magnitude of RNA velocity is indicated by the streamline thickness. Randomized velocity controls (middle) were performed by first shuffling the velocity for genes of each cell and then randomly switching the sign of shuffled velocity values. The cell-wise velocity confidence (right) was measured by how well each velocity vector met the local neighborhood structure-defined geometric constraints.

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