Master Regulators, Regulatory Networks, and Pathways of Glioblastoma Subtypes
Author(s) -
Serdar Bozdag,
Aiguo Li,
Mehmet Baysan,
Howard A. Fine
Publication year - 2014
Publication title -
cancer informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.606
H-Index - 31
ISSN - 1176-9351
DOI - 10.4137/cin.s14027
Subject(s) - glioblastoma , ingenuity , biology , gene regulatory network , epigenetics , computational biology , systems biology , gene , regulation of gene expression , transcriptome , biological pathway , brain cancer , pathway analysis , gene expression , cancer research , genetics , cancer , neoclassical economics , economics
Glioblastoma multiforme (GBM) is the most common malignant brain tumor. GBM samples are classified into subtypes based on their transcriptomic and epigenetic profiles. Despite numerous studies to better characterize GBM biology, a comprehensive study to identify GBM subtype- specific master regulators, gene regulatory networks, and pathways is missing. Here, we used FastMEDUSA to compute master regulators and gene regulatory networks for each GBM subtype. We also ran Gene Set Enrichment Analysis and Ingenuity Pathway Analysis on GBM expression dataset from The Cancer Genome Atlas Project to compute GBM- and GBM subtype-specific pathways. Our analysis was able to recover some of the known master regulators and pathways in GBM as well as some putative novel regulators and pathways, which will aide in our understanding of the unique biology of GBM subtypes.
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