Ikeakanam, Excellent Greatman and Covenant University, Theses (2022) ENHANCING VISUALISATION ALGORITHM IN CEMITOOL FOR CO-EXPRESSION ANALYSIS OF RNA-SEQ MULTISYSTEM INFLAMMATORY SYNDROME IN CHILDREN. Masters thesis, Covenant University Ota.
Full text not available from this repository.Abstract
The outbreak of the coronavirus is causing a lot of havoc globally. Elderly people and patients with comorbidities are said to be at a high risk of the virus while it is mild in children. In April 2020, a rare but serious condition named Multisystem Inflammatory Syndrome in Children was discovered and it was seen that this disease has an association with Covid-19. The cause of this disease is still unclear. The genes and mechanisms associated with the susceptibility remain unknown. In this study, gene co-expression network analysis was performed on MIS-C to discover key genes and pathways associated with the disease. The Co-expression module identification tool (CEMiTool) was used to carry out the co-expression analysis to identify modules and clusterProfiler was used for functional enrichment analysis of modules and key genes. A total of 13 modules were identified, and 2 key modules were screened out. The key modules were enriched in biological processes like defense response to virus, defense response to symbiont, response to virus, mitotic nuclear division, chromosome segregation, nuclear division, and mitotic cell cycle phase transition, and they were also enriched in pathways like Coronavirus-Covid-19, measles, influenza A, hepatitis C, NOD-like receptor signaling pathway, systemic lupus erythematosus, and alcoholism. The CEMiTool was enhanced and used to visualize the network of the key modules. A total of 20 hub genes were screened out and the hub genes were overlapped with 3130 differentially expressed genes from another dataset to screen out key genes The 4 key genes identified were OAS3, RSAD2, ZBP1, and CD274. Functional enrichment analysis revealed that these genes are enriched in defense response to virus, defense response to symbiont, response to virus, influenza A, and hepatitis C. Various studies also discussed the involvement of these genes in Covid-19 and pediatric Covid-19. MIS-C is a dangerous condition, that can lead to death, so the development of drugs and vaccines for the cure or prevention is very essential. The discovery of these candidate key genes may play a critical role in the development of drugs for its treatment.
| Item Type: | Thesis (Masters) |
|---|---|
| Uncontrolled Keywords: | Gene co-expression analysis, COVID-19, Multisystem Inflammatory Syndrome in Children (MIS-C), CEMiTool |
| Subjects: | Q Science > QA Mathematics Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science |
| Depositing User: | nwokealisi |
| Date Deposited: | 21 Sep 2022 12:39 |
| Last Modified: | 21 Sep 2022 12:39 |
| URI: | http://eprints.covenantuniversity.edu.ng/id/eprint/16190 |
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