A New Network-Based Strategy for Predicting the Potential miRNA-mRNA Interactions in Tumorigenesis
MicroRNA (miRNA) plays an important role in the degradation and inhibition of mRNAs and is a kind of essential drug targets for cancer therapy. To facilitate the clinical cancer research, we proposed a network-based strategy to identify the cancer-related miRNAs and to predict their targeted genes b...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2017-01-01
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| Series: | International Journal of Genomics |
| Online Access: | http://dx.doi.org/10.1155/2017/3538568 |
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| _version_ | 1832567203958882304 |
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| author | Jiwei Xue Fanfan Xie Junmei Xu Yuan Liu Yu Liang Zhining Wen Menglong Li |
| author_facet | Jiwei Xue Fanfan Xie Junmei Xu Yuan Liu Yu Liang Zhining Wen Menglong Li |
| author_sort | Jiwei Xue |
| collection | DOAJ |
| description | MicroRNA (miRNA) plays an important role in the degradation and inhibition of mRNAs and is a kind of essential drug targets for cancer therapy. To facilitate the clinical cancer research, we proposed a network-based strategy to identify the cancer-related miRNAs and to predict their targeted genes based on the gene expression profiles. The strategy was validated by using the data sets of acute myeloid leukemia (AML), breast invasive carcinoma (BRCA), and kidney renal clear cell carcinoma (KIRC). The results showed that in the top 20 miRNAs ranked by their degrees, 90.0% (18/20), 70.0% (14/20), and 70.0% (14/20) miRNAs were found to be associated with the cancers for AML, BRCA, and KIRC, respectively. The KEGG pathways and GO terms enriched with the genes that were predicted as the targets of the cancer-related miRNAs were significantly associated with the biological processes of cancers. In addition, several genes, which were predicted to be regulated by more than three miRNAs, were identified to be the potential drug targets annotated by using the human protein atlas database. Our results demonstrated that the proposed strategy can be helpful for predicting the miRNA-mRNA interactions in tumorigenesis and identifying the cancer-related miRNAs as the potential drug targets. |
| format | Article |
| id | doaj-art-df24280b6b794b58adf1da0b8e91f209 |
| institution | Kabale University |
| issn | 2314-436X 2314-4378 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Genomics |
| spelling | doaj-art-df24280b6b794b58adf1da0b8e91f2092025-02-03T01:02:09ZengWileyInternational Journal of Genomics2314-436X2314-43782017-01-01201710.1155/2017/35385683538568A New Network-Based Strategy for Predicting the Potential miRNA-mRNA Interactions in TumorigenesisJiwei Xue0Fanfan Xie1Junmei Xu2Yuan Liu3Yu Liang4Zhining Wen5Menglong Li6College of Chemistry, Sichuan University, Chengdu 610064, ChinaCollege of Chemistry, Sichuan University, Chengdu 610064, ChinaCollege of Chemistry, Sichuan University, Chengdu 610064, ChinaCollege of Chemistry, Sichuan University, Chengdu 610064, ChinaCollege of Chemistry, Sichuan University, Chengdu 610064, ChinaCollege of Chemistry, Sichuan University, Chengdu 610064, ChinaCollege of Chemistry, Sichuan University, Chengdu 610064, ChinaMicroRNA (miRNA) plays an important role in the degradation and inhibition of mRNAs and is a kind of essential drug targets for cancer therapy. To facilitate the clinical cancer research, we proposed a network-based strategy to identify the cancer-related miRNAs and to predict their targeted genes based on the gene expression profiles. The strategy was validated by using the data sets of acute myeloid leukemia (AML), breast invasive carcinoma (BRCA), and kidney renal clear cell carcinoma (KIRC). The results showed that in the top 20 miRNAs ranked by their degrees, 90.0% (18/20), 70.0% (14/20), and 70.0% (14/20) miRNAs were found to be associated with the cancers for AML, BRCA, and KIRC, respectively. The KEGG pathways and GO terms enriched with the genes that were predicted as the targets of the cancer-related miRNAs were significantly associated with the biological processes of cancers. In addition, several genes, which were predicted to be regulated by more than three miRNAs, were identified to be the potential drug targets annotated by using the human protein atlas database. Our results demonstrated that the proposed strategy can be helpful for predicting the miRNA-mRNA interactions in tumorigenesis and identifying the cancer-related miRNAs as the potential drug targets.http://dx.doi.org/10.1155/2017/3538568 |
| spellingShingle | Jiwei Xue Fanfan Xie Junmei Xu Yuan Liu Yu Liang Zhining Wen Menglong Li A New Network-Based Strategy for Predicting the Potential miRNA-mRNA Interactions in Tumorigenesis International Journal of Genomics |
| title | A New Network-Based Strategy for Predicting the Potential miRNA-mRNA Interactions in Tumorigenesis |
| title_full | A New Network-Based Strategy for Predicting the Potential miRNA-mRNA Interactions in Tumorigenesis |
| title_fullStr | A New Network-Based Strategy for Predicting the Potential miRNA-mRNA Interactions in Tumorigenesis |
| title_full_unstemmed | A New Network-Based Strategy for Predicting the Potential miRNA-mRNA Interactions in Tumorigenesis |
| title_short | A New Network-Based Strategy for Predicting the Potential miRNA-mRNA Interactions in Tumorigenesis |
| title_sort | new network based strategy for predicting the potential mirna mrna interactions in tumorigenesis |
| url | http://dx.doi.org/10.1155/2017/3538568 |
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