tetano
Editor, Senior Moderator
Hum Antibodies
. 2023 Nov 30.
doi: 10.3233/HAB-230012. Online ahead of print. Time-series bioinformatics analysis of SARS-CoV-infected cells to identify the biological processes associated with severe acute respiratory syndrome
Razieh Fatehi[SUP] 1 [/SUP], Farinaz Khosravian[SUP] 2 3 [/SUP], Mansoor Salehi[SUP] 2 3 [/SUP], Mohammad Kazemi[SUP] 1 4 [/SUP]
Affiliations
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.
Keywords: COVID-19; Microarray analysis; gene expression; severe acute respiratory syndrome.
. 2023 Nov 30.
doi: 10.3233/HAB-230012. Online ahead of print. Time-series bioinformatics analysis of SARS-CoV-infected cells to identify the biological processes associated with severe acute respiratory syndrome
Razieh Fatehi[SUP] 1 [/SUP], Farinaz Khosravian[SUP] 2 3 [/SUP], Mansoor Salehi[SUP] 2 3 [/SUP], Mohammad Kazemi[SUP] 1 4 [/SUP]
Affiliations
- PMID: 38143341
- DOI: 10.3233/HAB-230012
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.
Keywords: COVID-19; Microarray analysis; gene expression; severe acute respiratory syndrome.