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10.1093/bib/bbaa376

http://scihub22266oqcxt.onion/10.1093/bib/bbaa376
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suck abstract from ncbi


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pmid33333559      Brief+Bioinform 2021 ; 22 (2): 1324-1337
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  • Gene expression profiling of SARS-CoV-2 infections reveal distinct primary lung cell and systemic immune infection responses that identify pathways relevant in COVID-19 disease #MMPMID33333559
  • Moni MA; Quinn JMW; Sinmaz N; Summers MA
  • Brief Bioinform 2021[Mar]; 22 (2): 1324-1337 PMID33333559show ga
  • To identify key gene expression pathways altered with infection of the novel coronavirus SARS-CoV-2, we performed the largest comparative genomic and transcriptomic analysis to date. We compared the novel pandemic coronavirus SARS-CoV-2 with SARS-CoV and MERS-CoV, as well as influenza A strains H1N1, H3N2 and H5N1. Phylogenetic analysis confirms that SARS-CoV-2 is closely related to SARS-CoV at the level of the viral genome. RNAseq analyses demonstrate that human lung epithelial cell responses to SARS-CoV-2 infection are distinct. Extensive Gene Expression Omnibus literature screening and drug predictive analyses show that SARS-CoV-2 infection response pathways are closely related to those of SARS-CoV and respiratory syncytial virus infections. We validated SARS-CoV-2 infection response genes as disease-associated using Kaplan-Meier survival estimates in lung disease patient data. We also analysed COVID-19 patient peripheral blood samples, which identified signalling pathway concordance between the primary lung cell and blood cell infection responses.
  • |*Gene Expression Profiling[MESH]
  • |COVID-19/*immunology/virology[MESH]
  • |Humans[MESH]
  • |Influenza A virus/immunology[MESH]
  • |Kaplan-Meier Estimate[MESH]
  • |Lung/immunology/*virology[MESH]
  • |Reproducibility of Results[MESH]


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