Comprehensive investigation of RNA‐sequencing dataset reveals the hub genes and molecular mechanisms of coronavirus disease 2019 acute respiratory distress syndrome
Abstract The goal of this study is to reveal the hub genes and molecular mechanisms of the coronavirus disease 2019 (COVID‐19) acute respiratory distress syndrome (ARDS) based on the genome‐wide RNA sequencing dataset. The RNA sequencing dataset of COVID‐19 ARDS was obtained from GSE163426. A total...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-12-01
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| Series: | IET Systems Biology |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/syb2.12034 |
| _version_ | 1811215883723341824 |
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| author | Wangsheng Deng Jiaxing Zeng Shunyu Lu Chaoqian Li |
| author_facet | Wangsheng Deng Jiaxing Zeng Shunyu Lu Chaoqian Li |
| author_sort | Wangsheng Deng |
| collection | DOAJ |
| description | Abstract The goal of this study is to reveal the hub genes and molecular mechanisms of the coronavirus disease 2019 (COVID‐19) acute respiratory distress syndrome (ARDS) based on the genome‐wide RNA sequencing dataset. The RNA sequencing dataset of COVID‐19 ARDS was obtained from GSE163426. A total of 270 differentially expressed genes (DEGs) were identified between COVID‐19 ARDS and control group patients. Functional enrichment analysis of DEGs suggests that these DEGs may be involved in the following biological processes: response to cytokine, G‐protein coupled receptor activity, ionotropic glutamate receptor signalling pathway and G‐protein coupled receptor signalling pathway. By using the weighted correlation network analysis approach to analyse these DEGs, 10 hub DEGs that may play an important role in COVID‐19 ARDS were identified. A total of 67 potential COVID‐19 ARDS targetted drugs were identified by a complement map analysis. Immune cell infiltration analysis revealed that the levels of T cells CD4 naive, T cells follicular helper, macrophages M1 and eosinophils in COVID‐19 ARDS patients were significantly different from those in control group patients. In conclusion, this study identified 10 COVID‐19 ARDS‐related hub DEGs and numerous potential molecular mechanisms through a comprehensive analysis of the RNA sequencing dataset and also revealed the difference in immune cell infiltration of COVID‐19 ARDS. |
| first_indexed | 2024-04-12T06:29:55Z |
| format | Article |
| id | doaj.art-1afedd3b6d994d7a8067def6d6c98970 |
| institution | Directory Open Access Journal |
| issn | 1751-8849 1751-8857 |
| language | English |
| last_indexed | 2024-04-12T06:29:55Z |
| publishDate | 2021-12-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Systems Biology |
| spelling | doaj.art-1afedd3b6d994d7a8067def6d6c989702022-12-22T03:44:02ZengWileyIET Systems Biology1751-88491751-88572021-12-0115620521810.1049/syb2.12034Comprehensive investigation of RNA‐sequencing dataset reveals the hub genes and molecular mechanisms of coronavirus disease 2019 acute respiratory distress syndromeWangsheng Deng0Jiaxing Zeng1Shunyu Lu2Chaoqian Li3Emergency Department The Fourth Affiliated Hospital of Guangxi Medical University Liuzhou ChinaEmergency Department The Fourth Affiliated Hospital of Guangxi Medical University Liuzhou ChinaDepartment of Pharmacy Affiliated Tumor Hospital of Guangxi Medical University Nanning ChinaEmergency Department The First Affiliated Hospital of Guangxi Medical University Nanning ChinaAbstract The goal of this study is to reveal the hub genes and molecular mechanisms of the coronavirus disease 2019 (COVID‐19) acute respiratory distress syndrome (ARDS) based on the genome‐wide RNA sequencing dataset. The RNA sequencing dataset of COVID‐19 ARDS was obtained from GSE163426. A total of 270 differentially expressed genes (DEGs) were identified between COVID‐19 ARDS and control group patients. Functional enrichment analysis of DEGs suggests that these DEGs may be involved in the following biological processes: response to cytokine, G‐protein coupled receptor activity, ionotropic glutamate receptor signalling pathway and G‐protein coupled receptor signalling pathway. By using the weighted correlation network analysis approach to analyse these DEGs, 10 hub DEGs that may play an important role in COVID‐19 ARDS were identified. A total of 67 potential COVID‐19 ARDS targetted drugs were identified by a complement map analysis. Immune cell infiltration analysis revealed that the levels of T cells CD4 naive, T cells follicular helper, macrophages M1 and eosinophils in COVID‐19 ARDS patients were significantly different from those in control group patients. In conclusion, this study identified 10 COVID‐19 ARDS‐related hub DEGs and numerous potential molecular mechanisms through a comprehensive analysis of the RNA sequencing dataset and also revealed the difference in immune cell infiltration of COVID‐19 ARDS.https://doi.org/10.1049/syb2.12034proteinsRNAdiseasesgeneticspneumodynamicspatient treatment |
| spellingShingle | Wangsheng Deng Jiaxing Zeng Shunyu Lu Chaoqian Li Comprehensive investigation of RNA‐sequencing dataset reveals the hub genes and molecular mechanisms of coronavirus disease 2019 acute respiratory distress syndrome IET Systems Biology proteins RNA diseases genetics pneumodynamics patient treatment |
| title | Comprehensive investigation of RNA‐sequencing dataset reveals the hub genes and molecular mechanisms of coronavirus disease 2019 acute respiratory distress syndrome |
| title_full | Comprehensive investigation of RNA‐sequencing dataset reveals the hub genes and molecular mechanisms of coronavirus disease 2019 acute respiratory distress syndrome |
| title_fullStr | Comprehensive investigation of RNA‐sequencing dataset reveals the hub genes and molecular mechanisms of coronavirus disease 2019 acute respiratory distress syndrome |
| title_full_unstemmed | Comprehensive investigation of RNA‐sequencing dataset reveals the hub genes and molecular mechanisms of coronavirus disease 2019 acute respiratory distress syndrome |
| title_short | Comprehensive investigation of RNA‐sequencing dataset reveals the hub genes and molecular mechanisms of coronavirus disease 2019 acute respiratory distress syndrome |
| title_sort | comprehensive investigation of rna sequencing dataset reveals the hub genes and molecular mechanisms of coronavirus disease 2019 acute respiratory distress syndrome |
| topic | proteins RNA diseases genetics pneumodynamics patient treatment |
| url | https://doi.org/10.1049/syb2.12034 |
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