Extended Data Fig. 1: Quality control for deep-sequencing dataset and overlap between differentially chromatin accessible regions and differentially expressed genes.
a, Data quality for the ATAC-seq was evaluated by calculating the Fraction of read in peaks (FRIP Score). b, Chromatin accessibility regions pie chart. c, Volcano plot for all significantly differentially accessible regions (DARs). d, Metrics for RNA-seq showing the sequencing library size of assigned reads. e, PCA plot in two dimensions of differential expressed genes in acute (salmon) and chronic (green) GC B cells. f, Histogram of the nominal p-values calculated by DESeq for synthetic data RNA-seq. g, Volcano plot for differentially expressed genes (DEGs) identified by RNA-seq. h, Within Sum of Square (WSS) plot for the optimal number of clusters determined by the K-mean analysis. i, Dot plot showing differential chromatin accessibility regions (DARs) or expressed genes (DEGs) (yellow dots) and the overlap between the two datasets (black dots). j, Heat maps for overlapped DARs (ATAC-Seq, left panel) and DEGs (RNA-Seq, right panel). k, PRC2 targets assessed within DARs (upper panels) or DEGs (lower panels); ****P < 0.0001,Wilcoxon matched-pairs signed rank test, two-tailed p-value. l, Plots of normalised counts for non-canonical PRC1 (top), PRC2 and PRC2 co-factors (bottom); n = 2 mice per group, data represent mean ± SEM.
