ArticleJournal of medical virology2021
Genome-wide screening of SARS-CoV-2 infection-related genes based on the blood leukocytes sequencing data set of patients with COVID-19.
Article in Journal of medical virology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.
- Identifying novel host-based diagnostic biomarker panels for COVID-19: a whole-blood/nasopharyngeal transcriptome meta-analysis.Molecular medicine (Cambridge, Mass.) · 2022Pooled it
- Identification of potential biomarkers for 2022 Mpox virus infection: a transcriptomic network analysis and machine learning approach.Scientific reports · 2025Article
- APOBEC3-related mutations in the spike protein-encoding region facilitate SARS-CoV-2 evolution.Heliyon · 2024Article
- Multi-omics analysis uncovered systemic lupus erythematosus and COVID-19 crosstalk.Molecular medicine (Cambridge, Mass.) · 2024Article
- Metacell-based differential expression analysis identifies cell type specific temporal gene response programs in COVID-19 patient PBMCs.NPJ systems biology and applications · 2024Article
- Nucleic acid biomarkers of immune response and cell and tissue damage in children with COVID-19 and MIS-C.Cell reports. Medicine · 2023Article
- A Survey of COVID-19 Diagnosis Using Routine Blood Tests with the Aid of Artificial Intelligence Techniques.Diagnostics (Basel, Switzerland) · 2023Review
- Role of E3 ubiquitin ligases and deubiquitinating enzymes in SARS-CoV-2 infection.Frontiers in cellular and infection microbiology · 2023Review
- Immune responses of different COVID-19 vaccination strategies by analyzing single-cell RNA sequencing data from multiple tissues using machine learning methods.Frontiers in genetics · 2023Article
- A machine learning approach utilizing DNA methylation as an accurate classifier of COVID-19 disease severity.Scientific reports · 2022Article
- XAF1 Protects Host against Emerging RNA Viruses by Stabilizing IRF1-Dependent Antiviral Immunity.Journal of virology · 2022Article
- Identification of COVID-19-Specific Immune Markers Using a Machine Learning Method.Frontiers in molecular biosciences · 2022Article
- Hsa_circ_0000479/Hsa-miR-149-5p/RIG-I, IL-6 Axis: A Potential Novel Pathway to Regulate Immune Response against COVID-19.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2022Article
- Functional Roles and Targets of COVID-19 in Blood Cells Determined Using Bioinformatics Analyses.Bioinformatics and biology insights · 2022Article
- XGBoost-Based Feature Learning Method for Mining COVID-19 Novel Diagnostic Markers.Frontiers in public health · 2022Article
- Genome-wide screening of SARS-CoV-2 infection-related genes based on the blood leukocytes sequencing data set of patients with COVID-19.Journal of medical virology · 2021Article
Corrections and comments
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
Abstract
Coronavirus disease 2019 (COVID-19) is a global epidemic disease caused by a novel virus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), causing serious adverse effects on human health. In this study, we obtained a blood leukocytes sequencing data set of COVID-19 patients from the GEO database and obtained differentially expressed genes (DEGs). We further analyzed these DEGs by protein-protein interaction analysis and Gene Ontology enrichment analysis and identified the DEGs closely related to SARS-CoV-2 infection. Then, we constructed a six-gene model (comprising IFIT3, OASL, USP18, XAF1, IFI27, and EPSTI1) by logistic regression analysis and calculated the area under the ROC curve (AUC) for the diagnosis of COVID-19. The AUC values of the training group, testing group, and entire group were 0.930, 0.914, and 0.921, respectively. The six genes were highly expressed in patients with COVID-19 and positively correlated with the expression of SARS-CoV-2 invasion-related genes (ACE2, TMPRSS2, CTSB, and CTSL). The risk score calculated by this model was also positively correlated with the expression of TMPRSS2, CTSB, and CTSL, indicating that the six genes were closely related to SARS-CoV-2 infection. In conclusion, we comprehensively analyzed the functions of DEGs in the blood leukocytes of patients with COVID-19 and constructed a six-gene model that may contribute to the development of new diagnostic and therapeutic ideas for COVID-19. Moreover, these six genes may be therapeutic targets for COVID-19.
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Registered trials
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