PropertyValue
?:abstract
  • BACKGROUND: Coronavirus disease 2019 (COVID-19) caused by a novel betacoronavirus named severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has attracted top health concerns worldwide within a few months after its appearance. Since viruses are highly dependent on the host small RNAs (microRNAs) for their replication and propagation, in this study, top miRNAs targeting SARS-CoV-2 genome and top miRNAs targeting differentially expressed genes (DEGs) in lungs of patients infected with SARS-CoV-2, were predicted. METHODS: All human mature miRNA sequences were acquired from miRBase database. MiRanda tool was used to predict the potential human miRNA binding sites on the SARS-CoV-2 genome. EdgeR identified differentially expressed genes (DEGs) in response to SARS-CoV-2 infection from GEO147507 data. Gene Set Enrichment Analysis (GSEA) and DEGs annotation analysis were performed using ToppGene and Metascape tools. RESULTS: 160 miRNAs with a perfect matching in the seed region were identified. Among them, there was 15 miRNAs with more than three binding sites and 12 miRNAs with a free energy binding of −29 kCal/Mol. MiR-29 family had the most binding sites (11 sites) on the SARS-CoV-2 genome. MiR-21 occupied four binding sites and was among the top miRNAs that targeted up-regulated DEGs. In addition to miR-21, miR-16, let-7b, let-7e, and miR-146a were the top miRNAs targeting DEGs. CONCLUSION: Collectively, more experimental studies especially miRNA-based studies are needed to explore detailed molecular mechanisms of SARS-CoV-2 infection. Moreover, the role of DEGs including STAT1, CCND1, CXCL-10, and MAPKAPK2 in SARS-CoV-2 should be investigated to identify the similarities and differences between SARS-CoV-2 and other respiratory viruses.
is ?:annotates of
?:creator
?:doi
  • 10.1016/j.ncrna.2020.11.005
?:doi
?:journal
  • Noncoding_RNA_Res
?:license
  • no-cc
?:pdf_json_files
  • document_parses/pdf_json/77c52f3719930183f6bc0ba4e3dccb1ce49406d4.json
?:pmc_json_files
  • document_parses/pmc_json/PMC7680021.xml.json
?:pmcid
?:pmid
?:pmid
  • 33251388.0
?:publication_isRelatedTo_Disease
is ?:relation_isRelatedTo_publication of
?:sha_id
?:source
  • Elsevier; Medline; PMC
?:title
  • High affinity of host human microRNAs to SARS-CoV-2 genome: An in silico analysis
?:type
?:year
  • 2020-11-21

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