(2024) Time-series bioinformatics analysis of SARS-CoV-infected cells to identify the biological processes associated with severe acute respiratory syndrome. Human Antibodies. pp. 81-88. ISSN 10932607 (ISSN)
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Abstract
BACKGROUND: The COVID-19 pandemic, caused by the new virus of the coronavirus family, SARS-CoV-2, could lead to acute respiratory syndrome. The molecular mechanisms related to this disorder are still debatable. METHODS: In this study to understand the pathogenicity mechanism of SARS-CoV-2, using the bioinformatics approaches, we investigated the expression of involved genes, their regulatory, and main signaling pathways during the time on days 1, 2, 3, and 4 of SARS-CoV infected cells. RESULTS: Here, our investigation shows the complex changes in gene expression on days 2 and 3 post-infection. The functional analysis showed that especially related to immune response, response to other organisms, and defense response. IL6-AS1 is the predicted long non-coding RNA and is a key regulator during infection. In this study, for the first time has been reported the role of IL6-AS1. Also, the correlation of differential expression genes with the level of immune infiltration was shown in the relationship of Natural killer cells and T cell CD 4+ with DE genes. CONCLUSION: In the current study, identification of the altered expression pattern of genes in SARS-CoV-infected cells in time course also can help identify and link the molecular mechanisms and explore the holistic view of infection of SARS-CoV-2. © 2024 IOS Press. All rights reserved.
| Item Type: | Article |
|---|---|
| Keywords: | COVID-19 gene expression Microarray analysis severe acute respiratory syndrome Biological Phenomena Computational Biology Humans Interleukin-6 Pandemics SARS-CoV-2 B-cell lymphoma 3 protein calmodulin CXCL2 chemokine interleukin 17 interleukin 6 iodide peroxidase lectin long untranslated RNA microRNA microRNA 1 3p microRNA 107 microRNA 124 3p microRNA 1301 3p microRNA 146a 5p microRNA 155 5p microRNA 15a 5p microRNA 16 5p microRNA 17 3p microRNA 192 5p microRNA 193b 5p microRNA 20b 5p microRNA 214 3p microRNA 215 5p microRNA 221 3p microRNA 23b 5p microRNA 26b 5p microRNA 30a 5p microRNA 34a 5p microRNA 92a 3p mitogen activated protein kinase kinase kinase 14 mitogen activated protein kinase phosphatase 1 nuclear receptor Nur77 nucleotide binding oligomerization domain protein protein c jun RNA transcription factor FosB transcription factor HES 1 unclassified drug airway epithelium cell ankyrin repeat and SOCS box containing 9 gene Article B lymphocyte bardet biedl syndrome 2 gene bioinformatics CD4+ T lymphocyte CD8+ T lymphocyte cell infiltration coronavirus disease 2019 cysteine and serine rich nuclear protein 1 gene data analysis differential gene expression dual specificity phosphatase 8 gene family with sequence similarity 8 member A1 gene gene gene interaction gene ontology gene regulatory network human human cell immune infiltration immune response immunocompetent cell interferon lambda 1 gene macrophage natural killer cell NFKB inhibitor alpha gene principal component analysis quality control retinal G protein coupled receptor gene ribonuclease A family member 4 gene ribosomal protein S6 kinase A1 gene RNA sequence Severe acute respiratory syndrome coronavirus 2 signal transduction time series analysis TMEM154 transmembrane protein 154 gene TNF signaling cellular, subcellular and molecular biological phenomena and functions genetics pandemic |
| Page Range: | pp. 81-88 |
| Journal or Publication Title: | Human Antibodies |
| Journal Index: | Scopus |
| Volume: | 31 |
| Number: | 4 |
| Identification Number: | https://doi.org/10.3233/HAB-230012 |
| ISSN: | 10932607 (ISSN) |
| Depositing User: | خانم ناهید ضیائی |
| URI: | http://eprints.mui.ac.ir/id/eprint/30729 |
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