Selecting Hub Genes and Predicting Target Genes of microRNAs in Tuberculosis via the Bioinformatics Analysis
Tuberculosis (TB) is the world's most prevalently infectious disease. Molecular mechanisms behind tuberculosis remain unknown. microRNA (miRNA) is involved in a wide variety of diseases. To validate the significant genes and miRNAs in the current sample, two messenger RNA (mRNA) expression prof...
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Genetics Research |
| Online Access: | http://dx.doi.org/10.1155/2021/6226291 |
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| author | Siqi Deng Shijie Shen Saeed El-Ashram Huan Lu Dan Luo Guomin Ye null Zhen feng Bo Zhang Hui Zhang Wanjiang Zhang Jiangdong Wu Chuangfu Chen |
| author_facet | Siqi Deng Shijie Shen Saeed El-Ashram Huan Lu Dan Luo Guomin Ye null Zhen feng Bo Zhang Hui Zhang Wanjiang Zhang Jiangdong Wu Chuangfu Chen |
| author_sort | Siqi Deng |
| collection | DOAJ |
| description | Tuberculosis (TB) is the world's most prevalently infectious disease. Molecular mechanisms behind tuberculosis remain unknown. microRNA (miRNA) is involved in a wide variety of diseases. To validate the significant genes and miRNAs in the current sample, two messenger RNA (mRNA) expression profile datasets and three miRNA expression profile datasets were downloaded from the Gene Expression Omnibus (GEO) database. The differentially expressed (DE) genes (DEGs) and miRNAs (DE miRNAs) between healthy and TB patients were filtered out. Enrichment analysis was executed, and a protein-protein interaction (PPI) network was developed to understand the enrich pathways and hub genes of TB. Additionally, the target genes of miRNA were predicted and overlapping target genes were identified. We studied a total of 181 DEGs (135 downregulated and 46 upregulated genes) and two DE miRNAs (2 downregulated miRNAs) from two gene profile datasets and three miRNA profile datasets, respectively. 10 hub genes were defined based on high degree of connectivity. A PPI network's top module was constructed. The 23 DEGs identified have a significant relationship with miRNAs. 25 critically significant Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways were discovered. The detailed study revealed that, in tuberculosis, the DE miRNA and DEGs form an interaction network. The identification of novel target genes and main pathways would aid with our understanding of miRNA's function in tuberculosis progression. |
| format | Article |
| id | doaj-art-feed22f892d5456bacbf35ef959b8eda |
| institution | OA Journals |
| issn | 1469-5073 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Genetics Research |
| spelling | doaj-art-feed22f892d5456bacbf35ef959b8eda2025-08-20T02:22:45ZengWileyGenetics Research1469-50732021-01-01202110.1155/2021/6226291Selecting Hub Genes and Predicting Target Genes of microRNAs in Tuberculosis via the Bioinformatics AnalysisSiqi Deng0Shijie Shen1Saeed El-Ashram2Huan Lu3Dan Luo4Guomin Ye5null Zhen feng6Bo Zhang7Hui Zhang8Wanjiang Zhang9Jiangdong Wu10Chuangfu Chen11Key Laboratory of Xinjiang Endemic and Ethnic Diseases Cooperated By Education Ministry with Xinjiang ProvinceKey Laboratory of Xinjiang Endemic and Ethnic Diseases Cooperated By Education Ministry with Xinjiang ProvinceCollege of Life Science and EngineeringKey Laboratory of Xinjiang Endemic and Ethnic Diseases Cooperated By Education Ministry with Xinjiang ProvinceKey Laboratory of Xinjiang Endemic and Ethnic Diseases Cooperated By Education Ministry with Xinjiang ProvinceKey Laboratory of Xinjiang Endemic and Ethnic Diseases Cooperated By Education Ministry with Xinjiang ProvinceKey Laboratory of Xinjiang Endemic and Ethnic Diseases Cooperated By Education Ministry with Xinjiang ProvinceKey Laboratory of Xinjiang Endemic and Ethnic Diseases Cooperated By Education Ministry with Xinjiang ProvinceKey Laboratory of Xinjiang Endemic and Ethnic Diseases Cooperated By Education Ministry with Xinjiang ProvinceKey Laboratory of Xinjiang Endemic and Ethnic Diseases Cooperated By Education Ministry with Xinjiang ProvinceKey Laboratory of Xinjiang Endemic and Ethnic Diseases Cooperated By Education Ministry with Xinjiang ProvinceKey Laboratory of Xinjiang Endemic and Ethnic Diseases Cooperated By Education Ministry with Xinjiang ProvinceTuberculosis (TB) is the world's most prevalently infectious disease. Molecular mechanisms behind tuberculosis remain unknown. microRNA (miRNA) is involved in a wide variety of diseases. To validate the significant genes and miRNAs in the current sample, two messenger RNA (mRNA) expression profile datasets and three miRNA expression profile datasets were downloaded from the Gene Expression Omnibus (GEO) database. The differentially expressed (DE) genes (DEGs) and miRNAs (DE miRNAs) between healthy and TB patients were filtered out. Enrichment analysis was executed, and a protein-protein interaction (PPI) network was developed to understand the enrich pathways and hub genes of TB. Additionally, the target genes of miRNA were predicted and overlapping target genes were identified. We studied a total of 181 DEGs (135 downregulated and 46 upregulated genes) and two DE miRNAs (2 downregulated miRNAs) from two gene profile datasets and three miRNA profile datasets, respectively. 10 hub genes were defined based on high degree of connectivity. A PPI network's top module was constructed. The 23 DEGs identified have a significant relationship with miRNAs. 25 critically significant Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways were discovered. The detailed study revealed that, in tuberculosis, the DE miRNA and DEGs form an interaction network. The identification of novel target genes and main pathways would aid with our understanding of miRNA's function in tuberculosis progression.http://dx.doi.org/10.1155/2021/6226291 |
| spellingShingle | Siqi Deng Shijie Shen Saeed El-Ashram Huan Lu Dan Luo Guomin Ye null Zhen feng Bo Zhang Hui Zhang Wanjiang Zhang Jiangdong Wu Chuangfu Chen Selecting Hub Genes and Predicting Target Genes of microRNAs in Tuberculosis via the Bioinformatics Analysis Genetics Research |
| title | Selecting Hub Genes and Predicting Target Genes of microRNAs in Tuberculosis via the Bioinformatics Analysis |
| title_full | Selecting Hub Genes and Predicting Target Genes of microRNAs in Tuberculosis via the Bioinformatics Analysis |
| title_fullStr | Selecting Hub Genes and Predicting Target Genes of microRNAs in Tuberculosis via the Bioinformatics Analysis |
| title_full_unstemmed | Selecting Hub Genes and Predicting Target Genes of microRNAs in Tuberculosis via the Bioinformatics Analysis |
| title_short | Selecting Hub Genes and Predicting Target Genes of microRNAs in Tuberculosis via the Bioinformatics Analysis |
| title_sort | selecting hub genes and predicting target genes of micrornas in tuberculosis via the bioinformatics analysis |
| url | http://dx.doi.org/10.1155/2021/6226291 |
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