Fig. 2
From: Distinctive epigenomes characterize glioma stem cells and their response to differentiation cues
GSC-specific transcriptomic profiles relative to NSCs. a Line plot showing the number of deregulation events shared among different GSC lines. The embedded bar graph shows deregulation events in each GSC (as labeled on X-axis) compared to NSC. Blue: upregulation; orange: downregulation. b Volcano plot illustrating differential expression in GSC compared to NSC. Black dots: genes not differentially expressed. Blue dots: deregulated genes in any GSC. Orange: genes deregulated in ≥ 6 GSCs. Green: genes common to all 12 GSC lines. X-axis denotes the log2-transformed expression fold change. Y-axis denotes the log10-transformed false discovery rate. c Ingenuity pathway analysis (IPA) comparative analysis of the top most commonly activated (red) and inhibited (blue) biological pathways in GSCs relative to NSCs. The pathways are annotated to the right while GSC IDs are at the bottom of the heatmap. Blue: inhibition of the pathway. Red: activation of the pathway. d IPA analysis of the top activated (red) and inhibited (teal) upstream regulators in GSC relative to NSC. The regulators are annotated to the right; GSC number is at the bottom of the heatmap. e MicroRNA (miRNA) networks and their targeted genes (expressed as gray dots). Genes involved in transcriptional regulation in cancer are highlighted in blue dots in the network and listed at the left. KAT6A and TET3 are highlighted as targets of mir4292 and mir762, respectively