Figure 4
Figure 4. Open chromatin differences between B-cell differentiation stages associate with expression differences and mutation frequency in corresponding lymphomas. (A) The heatmap depicts the chromatin signal at gene level for H3K36me3, H3ac, and H3K4me1 open chromatin markers in genes with the most significant open chromatin differences between normal and GC B cells. On the rightmost heatmap, gene expression in MCL samples (64 cases) and BL (23 cases) is indicated for the same genes. Orange indicates higher chromatin signal or higher gene expression, and blue indicates lower. (B) The boxplots on the left illustrate difference in open chromatin score for genes differentially mutated between BL and MCL. On the horizontal axis, “MCL Mutated Genes” is defined as genes with a significantly higher mutation rate in MCL compared with BL (and the reverse for “BL Mutated Genes”). The boxplots on the right indicate expression fold change between normal GC and naïve B cells for the same 2 sets of genes. The size of the individual data points is scaled to the number of mutated cases in the corresponding disease.

Open chromatin differences between B-cell differentiation stages associate with expression differences and mutation frequency in corresponding lymphomas. (A) The heatmap depicts the chromatin signal at gene level for H3K36me3, H3ac, and H3K4me1 open chromatin markers in genes with the most significant open chromatin differences between normal and GC B cells. On the rightmost heatmap, gene expression in MCL samples (64 cases) and BL (23 cases) is indicated for the same genes. Orange indicates higher chromatin signal or higher gene expression, and blue indicates lower. (B) The boxplots on the left illustrate difference in open chromatin score for genes differentially mutated between BL and MCL. On the horizontal axis, “MCL Mutated Genes” is defined as genes with a significantly higher mutation rate in MCL compared with BL (and the reverse for “BL Mutated Genes”). The boxplots on the right indicate expression fold change between normal GC and naïve B cells for the same 2 sets of genes. The size of the individual data points is scaled to the number of mutated cases in the corresponding disease.

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