Vk∗MYC:Wwox KO CD138+ PCs display proinflammatory and tumorigenic transcriptomic signatures. (A) Unsupervised clustering and heat map of 87 differentially expressed genes (FDR < 0.05) comparing Vk∗MYC:Wwox WT and Vk∗MYC:Wwox KO CD138+ PCs (n = 3 mice per group). Red or blue colors indicate differentially upregulated or downregulated genes, respectively. Mean signals were background corrected and log2 transformed. (B-C) Bar graph depicting enrichment of biofunctions associated with tumorigenic phenotypes (B) and disease processes (C) (highlighted by red arrows), driven by dysregulated gene expression in Vk∗MYC:Wwox KO PCs (z score cutoff ±2; P < .05). (D) Bar graph showing top-activated and inhibited upstream regulators as per IPA (z score cutoff ±2; P < .05) based on DGE profiles in Vk∗MYC:Wwox KO compared to the control group.
Figure 3.

Vk∗MYC:Wwox KO CD138+ PCs display proinflammatory and tumorigenic transcriptomic signatures. (A) Unsupervised clustering and heat map of 87 differentially expressed genes (FDR < 0.05) comparing Vk∗MYC:Wwox WT and Vk∗MYC:Wwox KO CD138+ PCs (n = 3 mice per group). Red or blue colors indicate differentially upregulated or downregulated genes, respectively. Mean signals were background corrected and log2 transformed. (B-C) Bar graph depicting enrichment of biofunctions associated with tumorigenic phenotypes (B) and disease processes (C) (highlighted by red arrows), driven by dysregulated gene expression in Vk∗MYC:Wwox KO PCs (z score cutoff ±2; P < .05). (D) Bar graph showing top-activated and inhibited upstream regulators as per IPA (z score cutoff ±2; P < .05) based on DGE profiles in Vk∗MYC:Wwox KO compared to the control group.

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