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Identifying the miRNA Signature Association with Aging-Related Senescence in Glioblastoma

Glioblastoma (GBM) is the most common malignant brain tumor and its malignant phenotypic characteristics are classified as grade IV tumors. Molecular interactions, such as protein–protein, protein–ncRNA, and protein–peptide interactions are crucial to transfer the signaling communications in cellula...

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Autores principales: Gnanavel, Mutharasu, Murugesan, Akshaya, Konda Mani, Saravanan, Yli-Harja, Olli, Kandhavelu, Meenakshisundaram
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7825621/
https://www.ncbi.nlm.nih.gov/pubmed/33419230
http://dx.doi.org/10.3390/ijms22020517
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author Gnanavel, Mutharasu
Murugesan, Akshaya
Konda Mani, Saravanan
Yli-Harja, Olli
Kandhavelu, Meenakshisundaram
author_facet Gnanavel, Mutharasu
Murugesan, Akshaya
Konda Mani, Saravanan
Yli-Harja, Olli
Kandhavelu, Meenakshisundaram
author_sort Gnanavel, Mutharasu
collection PubMed
description Glioblastoma (GBM) is the most common malignant brain tumor and its malignant phenotypic characteristics are classified as grade IV tumors. Molecular interactions, such as protein–protein, protein–ncRNA, and protein–peptide interactions are crucial to transfer the signaling communications in cellular signaling pathways. Evidences suggest that signaling pathways of stem cells are also activated, which helps the propagation of GBM. Hence, it is important to identify a common signaling pathway that could be visible from multiple GBM gene expression data. microRNA signaling is considered important in GBM signaling, which needs further validation. We performed a high-throughput analysis using micro array expression profiles from 574 samples to explore the role of non-coding RNAs in the disease progression and unique signaling communication in GBM. A series of computational methods involving miRNA expression, gene ontology (GO) based gene enrichment, pathway mapping, and annotation from metabolic pathways databases, and network analysis were used for the analysis. Our study revealed the physiological roles of many known and novel miRNAs in cancer signaling, especially concerning signaling in cancer progression and proliferation. Overall, the results revealed a strong connection with stress induced senescence, significant miRNA targets for cell cycle arrest, and many common signaling pathways to GBM in the network.
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spelling pubmed-78256212021-01-24 Identifying the miRNA Signature Association with Aging-Related Senescence in Glioblastoma Gnanavel, Mutharasu Murugesan, Akshaya Konda Mani, Saravanan Yli-Harja, Olli Kandhavelu, Meenakshisundaram Int J Mol Sci Article Glioblastoma (GBM) is the most common malignant brain tumor and its malignant phenotypic characteristics are classified as grade IV tumors. Molecular interactions, such as protein–protein, protein–ncRNA, and protein–peptide interactions are crucial to transfer the signaling communications in cellular signaling pathways. Evidences suggest that signaling pathways of stem cells are also activated, which helps the propagation of GBM. Hence, it is important to identify a common signaling pathway that could be visible from multiple GBM gene expression data. microRNA signaling is considered important in GBM signaling, which needs further validation. We performed a high-throughput analysis using micro array expression profiles from 574 samples to explore the role of non-coding RNAs in the disease progression and unique signaling communication in GBM. A series of computational methods involving miRNA expression, gene ontology (GO) based gene enrichment, pathway mapping, and annotation from metabolic pathways databases, and network analysis were used for the analysis. Our study revealed the physiological roles of many known and novel miRNAs in cancer signaling, especially concerning signaling in cancer progression and proliferation. Overall, the results revealed a strong connection with stress induced senescence, significant miRNA targets for cell cycle arrest, and many common signaling pathways to GBM in the network. MDPI 2021-01-06 /pmc/articles/PMC7825621/ /pubmed/33419230 http://dx.doi.org/10.3390/ijms22020517 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Gnanavel, Mutharasu
Murugesan, Akshaya
Konda Mani, Saravanan
Yli-Harja, Olli
Kandhavelu, Meenakshisundaram
Identifying the miRNA Signature Association with Aging-Related Senescence in Glioblastoma
title Identifying the miRNA Signature Association with Aging-Related Senescence in Glioblastoma
title_full Identifying the miRNA Signature Association with Aging-Related Senescence in Glioblastoma
title_fullStr Identifying the miRNA Signature Association with Aging-Related Senescence in Glioblastoma
title_full_unstemmed Identifying the miRNA Signature Association with Aging-Related Senescence in Glioblastoma
title_short Identifying the miRNA Signature Association with Aging-Related Senescence in Glioblastoma
title_sort identifying the mirna signature association with aging-related senescence in glioblastoma
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7825621/
https://www.ncbi.nlm.nih.gov/pubmed/33419230
http://dx.doi.org/10.3390/ijms22020517
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