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. Author manuscript; available in PMC: 2017 Jun 1.
Published in final edited form as: Neuroepigenetics. 2016 May 3;6:10–25. doi: 10.1016/j.nepig.2016.04.001

Fig. 9. Differential expression analysis of genes of human GBM specimens.

Fig. 9

(A) A heatmap for differential expression of genes of human GBM specimens and corresponding H3K27me3 enrichment in endogenous NSPCs. Genes used for input are differentially expressed genes with greater than 2-fold change in human GBM corresponding to genes in normal NSPCs of baboon SVZ, which are lack of detectable transcript levels (≤1 FPKM) and enriched by H3K27me3. Inset shows symmetric color scale indicating differences in expression level as the (base 2) log of the fold change of GBM sample divided by control. Red indicates increased expression of genes in GBM relative to control, blue color indicates decreased expression of genes in GBM compared to control. Colored bars in column to left of heatmap indicate whether corresponding gene in baboon NSPC is not detectable by RNA-Seq (≤ 1 FPKM) or is expressed (> 1FPKM). Dendrogram was determined by hierarchical clustering using Euclidian distance and complete linkage.

(B) A heatmap for differential expression of genes of human GBM specimens and corresponding H4K20me3 enrichment in endogenous NSPCs. Genes used for input are differentially expressed genes with greater than 2-fold change in human GBM corresponding to genes in normal NSPCs of baboon SVZ, which are lack of detectable transcript levels (≤1 FPKM) and enriched by H4K20me3. Inset shows symmetric color scale indicating differences in expression level as the (base 2) log of the fold change of GBM sample divided by control. Red indicates increased expression of genes in GBM relative to control, blue color indicates decreased expression of genes in GBM compared to control. Colored bars in column to left of heatmap indicate whether corresponding gene in baboon NSPC is not detectable by RNA-Seq (≤ 1 FPKM) or is expressed (> 1FPKM). Dendrogram was determined by hierarchical clustering using Euclidian distance and complete linkage.