Uncovering MicroRNA and Transcription Factor Mediated Regulatory Networks in Glioblastoma.

Glioblastoma multiforme (GBM) is the most common and lethal brain tumor in humans. Recent studies revealed that patterns of microRNA (miRNA) expression in GBM tissue samples are different from those in normal brain tissues, suggesting that a number of miRNAs play critical roles in the pathogenesis o...

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Main Authors: Jingchun Sun, Xue Gong, Benjamin Purow, Zhongming Zhao
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2012-01-01
Series:PLoS Computational Biology
Online Access:http://europepmc.org/articles/PMC3400583?pdf=render
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author Jingchun Sun
Xue Gong
Benjamin Purow
Zhongming Zhao
author_facet Jingchun Sun
Xue Gong
Benjamin Purow
Zhongming Zhao
author_sort Jingchun Sun
collection DOAJ
description Glioblastoma multiforme (GBM) is the most common and lethal brain tumor in humans. Recent studies revealed that patterns of microRNA (miRNA) expression in GBM tissue samples are different from those in normal brain tissues, suggesting that a number of miRNAs play critical roles in the pathogenesis of GBM. However, little is yet known about which miRNAs play central roles in the pathology of GBM and their regulatory mechanisms of action. To address this issue, in this study, we systematically explored the main regulation format (feed-forward loops, FFLs) consisting of miRNAs, transcription factors (TFs) and their impacting GBM-related genes, and developed a computational approach to construct a miRNA-TF regulatory network. First, we compiled GBM-related miRNAs, GBM-related genes, and known human TFs. We then identified 1,128 3-node FFLs and 805 4-node FFLs with statistical significance. By merging these FFLs together, we constructed a comprehensive GBM-specific miRNA-TF mediated regulatory network. Then, from the network, we extracted a composite GBM-specific regulatory network. To illustrate the GBM-specific regulatory network is promising for identification of critical miRNA components, we specifically examined a Notch signaling pathway subnetwork. Our follow up topological and functional analyses of the subnetwork revealed that six miRNAs (miR-124, miR-137, miR-219-5p, miR-34a, miR-9, and miR-92b) might play important roles in GBM, including some results that are supported by previous studies. In this study, we have developed a computational framework to construct a miRNA-TF regulatory network and generated the first miRNA-TF regulatory network for GBM, providing a valuable resource for further understanding the complex regulatory mechanisms in GBM. The observation of critical miRNAs in the Notch signaling pathway, with partial verification from previous studies, demonstrates that our network-based approach is promising for the identification of new and important miRNAs in GBM and, potentially, other cancers.
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spelling doaj.art-447ef27393004573a9d09dc95a8b76dd2022-12-22T00:50:32ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582012-01-0187e100248810.1371/journal.pcbi.1002488Uncovering MicroRNA and Transcription Factor Mediated Regulatory Networks in Glioblastoma.Jingchun SunXue GongBenjamin PurowZhongming ZhaoGlioblastoma multiforme (GBM) is the most common and lethal brain tumor in humans. Recent studies revealed that patterns of microRNA (miRNA) expression in GBM tissue samples are different from those in normal brain tissues, suggesting that a number of miRNAs play critical roles in the pathogenesis of GBM. However, little is yet known about which miRNAs play central roles in the pathology of GBM and their regulatory mechanisms of action. To address this issue, in this study, we systematically explored the main regulation format (feed-forward loops, FFLs) consisting of miRNAs, transcription factors (TFs) and their impacting GBM-related genes, and developed a computational approach to construct a miRNA-TF regulatory network. First, we compiled GBM-related miRNAs, GBM-related genes, and known human TFs. We then identified 1,128 3-node FFLs and 805 4-node FFLs with statistical significance. By merging these FFLs together, we constructed a comprehensive GBM-specific miRNA-TF mediated regulatory network. Then, from the network, we extracted a composite GBM-specific regulatory network. To illustrate the GBM-specific regulatory network is promising for identification of critical miRNA components, we specifically examined a Notch signaling pathway subnetwork. Our follow up topological and functional analyses of the subnetwork revealed that six miRNAs (miR-124, miR-137, miR-219-5p, miR-34a, miR-9, and miR-92b) might play important roles in GBM, including some results that are supported by previous studies. In this study, we have developed a computational framework to construct a miRNA-TF regulatory network and generated the first miRNA-TF regulatory network for GBM, providing a valuable resource for further understanding the complex regulatory mechanisms in GBM. The observation of critical miRNAs in the Notch signaling pathway, with partial verification from previous studies, demonstrates that our network-based approach is promising for the identification of new and important miRNAs in GBM and, potentially, other cancers.http://europepmc.org/articles/PMC3400583?pdf=render
spellingShingle Jingchun Sun
Xue Gong
Benjamin Purow
Zhongming Zhao
Uncovering MicroRNA and Transcription Factor Mediated Regulatory Networks in Glioblastoma.
PLoS Computational Biology
title Uncovering MicroRNA and Transcription Factor Mediated Regulatory Networks in Glioblastoma.
title_full Uncovering MicroRNA and Transcription Factor Mediated Regulatory Networks in Glioblastoma.
title_fullStr Uncovering MicroRNA and Transcription Factor Mediated Regulatory Networks in Glioblastoma.
title_full_unstemmed Uncovering MicroRNA and Transcription Factor Mediated Regulatory Networks in Glioblastoma.
title_short Uncovering MicroRNA and Transcription Factor Mediated Regulatory Networks in Glioblastoma.
title_sort uncovering microrna and transcription factor mediated regulatory networks in glioblastoma
url http://europepmc.org/articles/PMC3400583?pdf=render
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