Extended Data Fig. 1: Quality control and benchmarking of CHARM. | Nature

Extended Data Fig. 1: Quality control and benchmarking of CHARM.

From: Gene regulatory landscape dissected by single-cell four-omics sequencing

Extended Data Fig. 1: Quality control and benchmarking of CHARM.

a,b, Scatter plots showing quality control metrics used for filtering CHARM data. a, Fraction of reads in peaks (FRiP) for H3K27me3 versus chromatin accessibility. b, Number of Hi-C contacts versus RNA UMIs per cell. Dashed lines indicate filtering thresholds. c, Violin plots showing TSS enrichment per cell across different methods. d-g, Violin plots comparing per-cell data yield from CHARM with other single-cell methods across four modalities: d, RNA UMIs; e, H3K27me3 fragments; f, accessible chromatin fragments; and g, Hi-C contacts. Boxes indicate the median and 25th-75th percentiles, with whiskers extending to 1.5× the interquartile range in panel c-g. h, Scatter plot of Sox2 UMI counts versus enhancer–promoter (E–P) interaction strength, with cells ordered by Sox2 expression. Each dot represents one cell (n = 720 cells). Pearson’s correlation coefficient is indicated. i, Box plots comparing E–P interaction strength between cells with high and low Sox2 expression. Cells were divided into high (n = 176 cells) and low (n = 544 cells) Sox2 expression groups. Boxes indicate the median and 25th-75th percentiles, with whiskers extending to 1.5× the interquartile range. Statistical significance was assessed using a two-sided Wilcoxon rank-sum test (P = 0.72).

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