Document Type
Article
Language
eng
Format of Original
12 p.
Publication Date
2014
Publisher
Libertas Academica
Source Publication
Cancer Informatics
Source ISSN
1176-9351
Original Item ID
doi: 10.4137/CIN.S14027
Abstract
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.
Recommended Citation
Bozdag, Serdar; Li, Aiguo; Baysan, Mehmet; and Fine, Howard A., "Master Regulators, Regulatory Networks, and Pathways of Glioblastoma Subtypes" (2014). Mathematics, Statistics and Computer Science Faculty Research and Publications. 236.
https://epublications.marquette.edu/mscs_fac/236
Comments
Published version. Cancer Informatics, Vol. 13, S. 3 (2014): 33-44. DOI. This is an open-access article distributed under the terms of the Creative Commons CC-BY-NC 3.0 License.