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Master Regulators, Regulatory Networks, and Pathways of Glioblastoma Subtypes

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 regulato...

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Detalles Bibliográficos
Autores principales: Bozdag, Serdar, Li, Aiguo, Baysan, Mehmet, Fine, Howard A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Libertas Academica 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4214595/
https://www.ncbi.nlm.nih.gov/pubmed/25368508
http://dx.doi.org/10.4137/CIN.S14027
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author Bozdag, Serdar
Li, Aiguo
Baysan, Mehmet
Fine, Howard A
author_facet Bozdag, Serdar
Li, Aiguo
Baysan, Mehmet
Fine, Howard A
author_sort Bozdag, Serdar
collection PubMed
description 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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spelling pubmed-42145952014-11-03 Master Regulators, Regulatory Networks, and Pathways of Glioblastoma Subtypes Bozdag, Serdar Li, Aiguo Baysan, Mehmet Fine, Howard A Cancer Inform Original Research 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. Libertas Academica 2014-10-15 /pmc/articles/PMC4214595/ /pubmed/25368508 http://dx.doi.org/10.4137/CIN.S14027 Text en © 2014 the author(s), publisher and licensee Libertas Academica Ltd. This is an open-access article distributed under the terms of the Creative Commons CC-BY-NC 3.0 License.
spellingShingle Original Research
Bozdag, Serdar
Li, Aiguo
Baysan, Mehmet
Fine, Howard A
Master Regulators, Regulatory Networks, and Pathways of Glioblastoma Subtypes
title Master Regulators, Regulatory Networks, and Pathways of Glioblastoma Subtypes
title_full Master Regulators, Regulatory Networks, and Pathways of Glioblastoma Subtypes
title_fullStr Master Regulators, Regulatory Networks, and Pathways of Glioblastoma Subtypes
title_full_unstemmed Master Regulators, Regulatory Networks, and Pathways of Glioblastoma Subtypes
title_short Master Regulators, Regulatory Networks, and Pathways of Glioblastoma Subtypes
title_sort master regulators, regulatory networks, and pathways of glioblastoma subtypes
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4214595/
https://www.ncbi.nlm.nih.gov/pubmed/25368508
http://dx.doi.org/10.4137/CIN.S14027
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