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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Libertas Academica
2014
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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. |
format | Online Article Text |
id | pubmed-4214595 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Libertas Academica |
record_format | MEDLINE/PubMed |
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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