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. 2019 Jun 3;7:5. doi: 10.1186/s40478-019-0744-0

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© The Author(s). 2019

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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Fig. 3 — Functional implication of hyper- and hypo-methylated sites in LTS-GBM. a Distribution of Pearson correlation coefficients between DNA methylation level (beta) and gene expression measured by RNA-seq (FPKM) across 32 GBM samples in TCGA. The red describes the genes (number of genes: 366) corresponding to the selected hyper-methylated sites in this study while the gray shows the genes (number of genes: 4413) matched to insignificant sites associated with the island. b DNA methylation level around somatic mutations found in 136 TCGA GBM samples by whole exome sequencing. The hypo-methylated sites in LTS-GBM (N = 1802) were compared with the insignificant sites in open sea (N = 5032)