Fig. 2

Summary of RNA-sequencing (RNA-seq) results. a Scatter plot showing results of a principal component analysis (PCA) of transformed count data from RNA-seq using DESeq2 (varianceStabilizingtransformation). Samples are colored according to their disease status, observe that the DIC are separated from all other samples along dimension 1 (the x-axis). b The scree plot line indicates the amount of the total variance preserved by a principal component. c Table summary of RNA-seq result analysis. Up refers to upregulated genes, down refers to downregulated genes. d Heatmap representing the top 50 differentially expressed genes (DEGs) across all three groups of samples. The heatmap colors reflect values representing the degree of expression from low to high as blue to red, respectively, as shown on the scale at the top-left hand side of the figure. Red indicates control (CTL), blue therapy-related myeloid neoplasm (t-MN) and green dic(1;7). e Significance for ZMAT3 and NR1H2 expression were tested by Mann–Whitney test (*p < 0.05); values are expressed as means ± SEM