Extended Data Fig. 6: PhyloVelo reconstructs the cellular trajectory of lung cancer evolution in 3435_NT_T1. | Nature Biotechnology

Extended Data Fig. 6: PhyloVelo reconstructs the cellular trajectory of lung cancer evolution in 3435_NT_T1.

From: PhyloVelo enhances transcriptomic velocity field mapping using monotonically expressed genes

Extended Data Fig. 6

(a) Single-cell phylogenetic tree of primary lung tumor 3435_NT_T1 (n = 1,109 cells) from KP (KrasLSL-G12D/+;Trp53fl/fl) mouse model. The single-cell RNA data, cell type annotations and lineage tree were obtained from Yang et al. (b) RNA velocity fields (scVelo - dynamical mode). (c) PhyloVelo velocity fields. (d) The fitness signatures of single cells as defined by Yang et al. (e) The correlation between scVelo latent time and fitness signatures. The Spearman correlation coefficients and P values are shown here. (f) The correlation between PhyloVelo pseudotime and fitness signatures. The Spearman correlation coefficients and P values are shown here. (g) CytoTRACE score of individual cells. (h) The correlation between scVelo latent time and CytoTRACE scores. The Spearman correlation coefficients and P values are shown here. (i) The correlation between PhyloVelo pseudotime and CytoTRACE scores. (j) The correlation of phylogenetic velocities for the overlapped MEGs between KP primary tumor 3435_NT_T1 and 3726_NT_T1. The Pearson correlation coefficient and P value are shown here.

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