چکیده

Abstract Background: Coronavirus 2019 (COVID-19) is caused by severe coronavirus 2 acute respiratory syndrome (SARS-CoV-2). Type 1 interferons (IFN-1) are a group of cytokines with non-specific antiviral and immunomodulatory properties. They include subgroups α and β, among others (ε, ω, κ). Interferons-α (IFNα) and -β (IFNβ) have been suggested as candidates for COVID-19 drug therapy. This study aimed to investigate the rate of expression in case and control samples through bioinformatics analysis of public datasets. Materials and Methods: In this study the gene expression datasets has obtained from the Gene Expression Omnibus (GEO) database. A total of 36 series about human coronavirus were retrieved from the database. After a review, microarray gene expression dataset with the accession number of GSE177477 were selected. This dataset contains 11 COVID-19 symptomatic cases and 18 healthy Controls in CEL format on the GPL23159 platform. The GEO2R tool used to screen out the rate of expression, and the adjusted P-value and |logFC| calculated. Next, all the differentially expressed genes (DEGs) that met the cutoff criteria, adjusted P˂0.05, considered as DEGs. Results: In the present study, gene expression analysis based on publicly available databases was performed. Analysis of microarray data on type I interferon pathways indicated that the rate of expression in COVID-19 symptomatic cases was higher in order to healthy Controls. Conclusions: Bioinformatics analysis can use as a diagnostic procedure, and also identyfing host protective mechanisms against SARS-CoV-2 infection can help improve COVID-19 treatment. Key Words: COVID-19 ، Gene expression ،Microarray Analysis . REFERENCES 1. Barrett T, Edgar R. [19] Gene expression omnibus: microarray data storage, submission, retrieval, and analysis. Methods in enzymology, 1;411:352-69 , Jan 2006. 2. Masood KI, Yameen M, Ashraf J, Shahid S, Mahmood SF, Nasir A, Nasir N, Jamil B, Ghanchi NK, Khanum I, Razzak SA. Upregulated type I interferon responses in asymptomatic COVID-19 infection are associated with improved clinical outcome. Scientific reports, 25;11(1):1-4, Nov 2021. 3. Lam S, Lombardi A, Ouanounou A. COVID-19: A review of the proposed pharmacological treatments. European journal of pharmacology, 5;886:173451, Nov 2020.

کليدواژه ها

COVID-19، Gene expression، Microarray Analysis

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ملیحه حسین پور , 1400 , ارزیابی بیوانفورماتیک مسیرهای اینترفرون نوع I در افراد آلوده به SARS-CoV-2 بر اساس داده های ریزآرایه , نخستین همایش بین المللی و سومین همایش ملی ریاضیات زیستی