12935_2017_458_MOESM1_ESM.rar (23.59 MB)
MOESM1 of Integrated genomic characterization of cancer genes in glioma
datasetposted on 13.10.2017, 05:00 authored by Aijun Liang, Bin Zhou, Wei Sun
Additional file 1: Figure S1. Driver genes in IDH1-mutated, non-IDH1-mutated and total glioma groups. A. The overlap of driver genes predicted by OncodriveCLUST in the three groups; B. The overlap of driver genes predicted by OncodriveFM in the three groups; C. The overlap of driver genes predicted by Icages in the three groups; D. The overlap of driver genes predicted by Drgap in the three groups; E. The overlap of driver genes predicted by Dendrix in the three groups; F. The overlap of driver pathways predicted by Dendrix in the three groups. Figure S2. Expression profiling of 428 driver genes between glioma and normal brain samples, expression values of each gene was presented as log(FPKM + 0.001). Figure S3. The protein–protein interaction network of driver genes. Network nodes represent proteins, network edges represent protein–protein associations. Notably, disconnected nodes were disabled in the network. Colored nodes refer to query proteins and first shell of interactors, white nodes are second shell of interactors. Blue lines represent known interactions from curated Kyoto Encyclopedia of Genes and Genomes database. Pink lines represent experimentally determined protein–protein interactions. Green lines denote genes that are frequently observed in each other’s genomic neighborhood. Black lines stand for genes whose expression is correlated across a large number of experiments. Dark blue gene families show similar occurrence patterns across genomes, light blue proteins show amino acid sequence similarity. Figure S4. The frequencies of copy number variations in 52 glioma samples.