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Fig. 2 | Genome Biology

Fig. 2

From: scTAM-seq enables targeted high-confidence analysis of DNA methylation in single cells

Fig. 2

scTAM-seq identifies cellular states associated with proliferation. a Heatmap showing the binarized, single-cell DNAm matrix for 4100 ns-memory B cells in the 313 high-performance amplicons. Five clusters of ns-memory B cells and six CpG clusters were defined based on a hierarchical clustering (binary distance, Ward’s method). b Low-dimensional representation of the binarized data matrix for all cells (naive, cs- and ns-memory B cells) using UMAP. The pseudotime was inferred with Monocle3. c Surface-protein expression within the UMAP-space. The surface-protein expression data was binarized using a cutoff of 1 for the CLR-normalized counts. d Surface-protein expression for the different clusters (ordered by increasing pseudotime) identified in a as barplots. Shown is the mean and two times the standard error within each of the clusters. e Average DNAm value per CpG- and cell cluster were estimated by computing the fraction of all methylated amplicons in a given CpG and cell cluster. The error bar indicates two times the standard error across all cells of a cell cluster. The pie chart indicates the genomic distribution of the CpGs within each CpG cluster according to chromatin states of naive, germinal center, ns-, and cs-memory B cells defined in Beekman et al.

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