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Prediction and Analysis of SARS-CoV-2-Targeting MicroRNA in Human Lung Epithelium.
Chow, Jonathan Tak-Sum; Salmena, Leonardo.
  • Chow JT; Department of Pharmacology and Toxicology, University of Toronto, Toronto, ON M5S 1A8, Canada.
  • Salmena L; Department of Pharmacology and Toxicology, University of Toronto, Toronto, ON M5S 1A8, Canada.
Genes (Basel) ; 11(9)2020 08 26.
Article in English | MEDLINE | ID: covidwho-730522
ABSTRACT
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), an RNA virus, is responsible for the coronavirus disease 2019 (COVID-19) pandemic of 2020. Experimental evidence suggests that microRNA can mediate an intracellular defence mechanism against some RNA viruses. The purpose of this study was to identify microRNA with predicted binding sites in the SARS-CoV-2 genome, compare these to their microRNA expression profiles in lung epithelial tissue and make inference towards possible roles for microRNA in mitigating coronavirus infection. We hypothesize that high expression of specific coronavirus-targeting microRNA in lung epithelia may protect against infection and viral propagation, conversely, low expression may confer susceptibility to infection. We have identified 128 human microRNA with potential to target the SARS-CoV-2 genome, most of which have very low expression in lung epithelia. Six of these 128 microRNA are differentially expressed upon in vitro infection of SARS-CoV-2. Additionally, 28 microRNA also target the SARS-CoV genome while 23 microRNA target the MERS-CoV genome. We also found that a number of microRNA are commonly identified in two other studies. Further research into identifying bona fide coronavirus targeting microRNA will be useful in understanding the importance of microRNA as a cellular defence mechanism against pathogenic coronavirus infections.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: MicroRNAs / Alveolar Epithelial Cells / Betacoronavirus Type of study: Prognostic study Limits: Humans Language: English Year: 2020 Document Type: Article Affiliation country: Genes11091002

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Full text: Available Collection: International databases Database: MEDLINE Main subject: MicroRNAs / Alveolar Epithelial Cells / Betacoronavirus Type of study: Prognostic study Limits: Humans Language: English Year: 2020 Document Type: Article Affiliation country: Genes11091002