Fig. 3: Pseudotime analysis projects cell-state progression in recurrent tumors. | Nature Communications

Fig. 3: Pseudotime analysis projects cell-state progression in recurrent tumors.

From: Single-cell multi-omics identifies metabolism-linked epigenetic reprogramming as a driver of therapy-resistant medulloblastoma

Fig. 3: Pseudotime analysis projects cell-state progression in recurrent tumors.

A Pseudotime ordering of primary tumor cell states (CNP, GABA-I, Pro-photo, Pro-UBC) B. Recurrent tumor cell states (CNP, GABA-I, Pro-photo, GABA) on a bifurcated cell trajectory, (above) color scale based on pseudotime, (below) separated and colored by cell state. C Heatmap of hierarchically clustered expression of top 100 branch-dependent genes based on branched expression analysis modeling (BEAM) for primary (genes, n = 100) D. Recurrence (genes, n = 100). The direction of pseudotime starts at the pre-branch and follows either cell fate 1 or cell fate 2. E Primary ATAC accessibility score (above) and Gene expression (below) along pseudotime trajectory for marker genes (n = 44). F Recurrence ATAC accessibility score (above) and Gene expression (below) along pseudotime trajectory for marker genes (n = 44). Color scale indicates accessibility or relative expression. See also Supplementary Fig. 4.

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