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10.1371/journal.pone.0243270

http://scihub22266oqcxt.onion/10.1371/journal.pone.0243270
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33301474!7728291!33301474
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suck abstract from ncbi


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pmid33301474      PLoS+One 2020 ; 15 (12): e0243270
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  • The transcriptomic profiling of SARS-CoV-2 compared to SARS, MERS, EBOV, and H1N1 #MMPMID33301474
  • Alsamman AM; Zayed H
  • PLoS One 2020[]; 15 (12): e0243270 PMID33301474show ga
  • The SARS-CoV-2 (COVID-19) pandemic is a global crisis that threatens our way of life. As of November 18, 2020, SARS-CoV-2 has claimed more than 1,342,709 lives, with a global mortality rate of ~2.4% and a recovery rate of ~69.6%. Understanding the interaction of cellular targets with the SARS-CoV-2 infection is crucial for therapeutic development. Therefore, the aim of this study was to perform a comparative analysis of transcriptomic signatures of infection of SARS-CoV-2 compared to other respiratory viruses (EBOV, H1N1, MERS-CoV, and SARS-CoV), to determine a unique anti-SARS-CoV-2 gene signature. We identified for the first time that molecular pathways for heparin-binding, RAGE, miRNA, and PLA2 inhibitors were associated with SARS-CoV-2 infection. The NRCAM and SAA2 genes, which are involved in severe inflammatory responses, and the FGF1 and FOXO1 genes, which are associated with immune regulation, were found to be associated with the cellular gene response to SARS-CoV-2 infection. Moreover, several cytokines, most significantly IL-8 and IL-6, demonstrated key associations with SARS-CoV-2 infection. Interestingly, the only response gene that was shared among the five viral infections was SERPINB1. The protein-protein interaction (PPI) analysis shed light on genes with high interaction activity that SARS-CoV-2 shares with other viral infections. The findings showed that the genetic pathways associated with rheumatoid arthritis, the AGE-RAGE signaling system, malaria, hepatitis B, and influenza A were of high significance. We found that the virogenomic transcriptome of infection, gene modulation of host antiviral responses, and GO terms of SARS-CoV-2 and EBOV were more similar than to SARS, H1N1, and MERS. This work compares the virogenomic signatures of highly pathogenic viruses and provides valid targets for potential therapy against SARS-CoV-2.
  • |*Transcriptome[MESH]
  • |COVID-19/*genetics/metabolism[MESH]
  • |Coronavirus Infections/genetics/metabolism[MESH]
  • |Ebolavirus/physiology[MESH]
  • |Gene Expression Profiling[MESH]
  • |Hemorrhagic Fever, Ebola/genetics/metabolism[MESH]
  • |Host-Pathogen Interactions[MESH]
  • |Humans[MESH]
  • |Influenza A Virus, H1N1 Subtype/physiology[MESH]
  • |Influenza, Human/genetics/metabolism[MESH]
  • |Middle East Respiratory Syndrome Coronavirus/physiology[MESH]
  • |Protein Interaction Maps[MESH]
  • |SARS-CoV-2/*physiology[MESH]


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