Fig. 1: Landscape of H3K27ac signals across RCC histologies. | Nature Communications

Fig. 1: Landscape of H3K27ac signals across RCC histologies.

From: Epigenomic charting and functional annotation of risk loci in renal cell carcinoma

Fig. 1: Landscape of H3K27ac signals across RCC histologies.The alternative text for this image may have been generated using AI.

A Distribution of RCC H3K27ac peaks according to genomic region for 30 fresh frozen RCC tumor samples (12 chRCC, 6 pRCC, 12 ccRCC). B Numbers of histology-specific and common H3K27ac peaks. C H3K27ac profiles at PAX8 in six representative samples from each RCC histology. D Hierarchical clustering of chRCC, ccRCC, and pRCC based on sample-to-sample pairwise correlation of the H3K27ac ChIP-seq peaks. E Distribution of histology-specific H3K27ac peaks among RCC subtypes. FH Volcano plots with the log change of gene expression (FPKM) in one histology compared to the other two histologies (F ccRCC vs. others, G pRCC vs. others, H chRCC vs. others). Two-sided P values were used and corrected for multiple comparison testing (FDR-adjusted P value <0.05). RCC renal cell carcinoma, chRCC chromophobe RCC, ccRCC clear cell RCC, pRCC papillary RCC.

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