ArticleEuropean journal of medical research2021
An integrative bioinformatics analysis for identifying hub genes associated with infection of lung samples in patients infected with SARS-CoV-2.
Article in European journal of medical research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed, 8 citations in OpenAlex.
- Shared molecular mechanisms of common differentially expressed genes (C-DEGs) linking gallbladder stones to carcinogenesis: integrated bioinformatics and experimental validation.Cancer cell international · 2026Article
- Role of early growth response 1 in inflammation-associated lung diseases.American journal of physiology. Lung cellular and molecular physiology · 2023Review
- Five-Year Assessment of Multiple Gene Variants Associated with Bone Marrow Hypocellularity, Reduced Bone Density, and Ovarian Insufficiency in Adolescence.Journal of bone metabolism · 2022Article
- Immune-Related Protein Interaction Network in Severe COVID-19 Patients toward the Identification of Key Proteins and Drug Repurposing.Biomolecules · 2022Article
- Examining the role of EGR1 during viral infections.Frontiers in microbiology · 2022Review
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAt the end of 2019, the world witnessed the emergence and ravages of a viral infection induced by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Also known as the coronavirus disease 2019 (COVID-19), it has been identified as a public health emergency of international concern (PHEIC) by the World Health Organization (WHO) because of its severity.
methodsThe gene data of 51 samples were extracted from the GSE150316 and GSE147507 data set and then processed by means of the programming language R, through which the differentially expressed genes (DEGs) that meet the standards were screened. The Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed on the selected DEGs to understand the functions and approaches of DEGs. The online tool STRING was employed to construct a protein-protein interaction (PPI) network of DEGs and, in turn, to identify hub genes.
resultsA total of 52 intersection genes were obtained through DEG identification. Through the GO analysis, we realized that the biological processes (BPs) that have the deepest impact on the human body after SARS-CoV-2 infection are various immune responses. By using STRING to construct a PPI network, 10 hub genes were identified, including IFIH1, DDX58, ISG15, EGR1, OASL, SAMD9, SAMD9L, XAF1, IFITM1, and TNFSF10.
conclusionThe results of this study will hopefully provide guidance for future studies on the pathophysiological mechanism of SARS-CoV-2 infection.
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