LncRNAs Predicted to Interfere With the Gene Regulation Activity of miR-637 and miR-196a-5p in GBM
Rigorous molecular characterization of biological systems has uncovered a variety of gene variations underlying normal and disease states and a remarkable complexity in the forms of RNA transcripts that exist. A recent concept, competitive endogenous RNA, suggests that some non-coding RNAs can bind...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2020-03-01
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| Series: | Frontiers in Oncology |
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| Online Access: | https://www.frontiersin.org/article/10.3389/fonc.2020.00303/full |
| _version_ | 1818929561216221184 |
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| author | Jingfang Zheng Zhiying Su Yang Kong Yang Kong Qingping Lin Hongli Liu Yanlong Wang Jian Wang Jian Wang |
| author_facet | Jingfang Zheng Zhiying Su Yang Kong Yang Kong Qingping Lin Hongli Liu Yanlong Wang Jian Wang Jian Wang |
| author_sort | Jingfang Zheng |
| collection | DOAJ |
| description | Rigorous molecular characterization of biological systems has uncovered a variety of gene variations underlying normal and disease states and a remarkable complexity in the forms of RNA transcripts that exist. A recent concept, competitive endogenous RNA, suggests that some non-coding RNAs can bind to miRNAs to modulate their role in gene expression. Here, we used several platforms, integrating mRNA, non-coding RNAs and protein data to generate an RNA-protein network that may be dysregulated in human glioblastoma multiforme (GBM). Publicly available microarray data for mRNA and miRNA were used to identify differentially expressed miRNAs and mRNAs in GBM relative to non-neoplastic tissue samples. Target miRNAs were further selected based on their prognostic significance, and the intersection of their target gene set with the differentially expressed gene set in Venn diagrams. Two miRNAs, miR-637 and miR-196a-5p, were associated with poor and better prognosis, respectively, in GBM patients. Non-coding RNAs, ENSG00000203739/ENSG00000271646 and TPTEP1, were predicted to be miRNA target genes for miR-637 and miR-196a-5p and positively correlated with the selected mRNA, CYBRD1 and RUFY2. A local protein interaction network was constructed using these two mRNAs. Predictions based on the ENSG00000203739/ENSG00000271646-miR-637-CYBRD1 and TPTEP1-miR-196a-5p-RUFY2 regulation axes indicated that the two proteins may act as an oncogene and tumor suppressor, respectively, in the development of GBM. These results highlight competitive endogenous RNA networks as alternative molecular therapeutic targets in the treatment of the disease. |
| first_indexed | 2024-12-20T03:46:45Z |
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| id | doaj.art-adcc532553ee4b5b945fc88dea464817 |
| institution | Directory Open Access Journal |
| issn | 2234-943X |
| language | English |
| last_indexed | 2024-12-20T03:46:45Z |
| publishDate | 2020-03-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Oncology |
| spelling | doaj.art-adcc532553ee4b5b945fc88dea4648172022-12-21T19:54:35ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2020-03-011010.3389/fonc.2020.00303509699LncRNAs Predicted to Interfere With the Gene Regulation Activity of miR-637 and miR-196a-5p in GBMJingfang Zheng0Zhiying Su1Yang Kong2Yang Kong3Qingping Lin4Hongli Liu5Yanlong Wang6Jian Wang7Jian Wang8Department of Gynecology, Women and Children's Hospital, School of Medicine, Xiamen University, Xiamen, ChinaDepartment of Reproductive Medicine, Women and Children's Hospital, School of Medicine, Xiamen University, Xiamen, ChinaDepartment of Neurosurgery, Qilu Hospital of Shandong University and Institute of Brain and Brain-Inspired Science, Shandong University, Jinan, ChinaTranslational Cancer Research Group, Department of Biomedicine, University of Bergen, Bergen, NorwayDepartment of Gynecology, Women and Children's Hospital, School of Medicine, Xiamen University, Xiamen, ChinaDepartment of Gynecology, Women and Children's Hospital, School of Medicine, Xiamen University, Xiamen, ChinaDepartment of Gynecology, Women and Children's Hospital, School of Medicine, Xiamen University, Xiamen, ChinaDepartment of Neurosurgery, Qilu Hospital of Shandong University and Institute of Brain and Brain-Inspired Science, Shandong University, Jinan, ChinaTranslational Cancer Research Group, Department of Biomedicine, University of Bergen, Bergen, NorwayRigorous molecular characterization of biological systems has uncovered a variety of gene variations underlying normal and disease states and a remarkable complexity in the forms of RNA transcripts that exist. A recent concept, competitive endogenous RNA, suggests that some non-coding RNAs can bind to miRNAs to modulate their role in gene expression. Here, we used several platforms, integrating mRNA, non-coding RNAs and protein data to generate an RNA-protein network that may be dysregulated in human glioblastoma multiforme (GBM). Publicly available microarray data for mRNA and miRNA were used to identify differentially expressed miRNAs and mRNAs in GBM relative to non-neoplastic tissue samples. Target miRNAs were further selected based on their prognostic significance, and the intersection of their target gene set with the differentially expressed gene set in Venn diagrams. Two miRNAs, miR-637 and miR-196a-5p, were associated with poor and better prognosis, respectively, in GBM patients. Non-coding RNAs, ENSG00000203739/ENSG00000271646 and TPTEP1, were predicted to be miRNA target genes for miR-637 and miR-196a-5p and positively correlated with the selected mRNA, CYBRD1 and RUFY2. A local protein interaction network was constructed using these two mRNAs. Predictions based on the ENSG00000203739/ENSG00000271646-miR-637-CYBRD1 and TPTEP1-miR-196a-5p-RUFY2 regulation axes indicated that the two proteins may act as an oncogene and tumor suppressor, respectively, in the development of GBM. These results highlight competitive endogenous RNA networks as alternative molecular therapeutic targets in the treatment of the disease.https://www.frontiersin.org/article/10.3389/fonc.2020.00303/fulllncRNAmRNAGBMmolecular datasetsnetwork |
| spellingShingle | Jingfang Zheng Zhiying Su Yang Kong Yang Kong Qingping Lin Hongli Liu Yanlong Wang Jian Wang Jian Wang LncRNAs Predicted to Interfere With the Gene Regulation Activity of miR-637 and miR-196a-5p in GBM Frontiers in Oncology lncRNA mRNA GBM molecular datasets network |
| title | LncRNAs Predicted to Interfere With the Gene Regulation Activity of miR-637 and miR-196a-5p in GBM |
| title_full | LncRNAs Predicted to Interfere With the Gene Regulation Activity of miR-637 and miR-196a-5p in GBM |
| title_fullStr | LncRNAs Predicted to Interfere With the Gene Regulation Activity of miR-637 and miR-196a-5p in GBM |
| title_full_unstemmed | LncRNAs Predicted to Interfere With the Gene Regulation Activity of miR-637 and miR-196a-5p in GBM |
| title_short | LncRNAs Predicted to Interfere With the Gene Regulation Activity of miR-637 and miR-196a-5p in GBM |
| title_sort | lncrnas predicted to interfere with the gene regulation activity of mir 637 and mir 196a 5p in gbm |
| topic | lncRNA mRNA GBM molecular datasets network |
| url | https://www.frontiersin.org/article/10.3389/fonc.2020.00303/full |
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