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Prediction and Analysis of SARS-CoV-2-Targeting MicroRNA in Human Lung Epithelium

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...

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Autores principales: Chow, Jonathan Tak-Sum, Salmena, Leonardo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7565861/
https://www.ncbi.nlm.nih.gov/pubmed/32858958
http://dx.doi.org/10.3390/genes11091002
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author Chow, Jonathan Tak-Sum
Salmena, Leonardo
author_facet Chow, Jonathan Tak-Sum
Salmena, Leonardo
author_sort Chow, Jonathan Tak-Sum
collection PubMed
description 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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spelling pubmed-75658612020-10-26 Prediction and Analysis of SARS-CoV-2-Targeting MicroRNA in Human Lung Epithelium Chow, Jonathan Tak-Sum Salmena, Leonardo Genes (Basel) Communication 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. MDPI 2020-08-26 /pmc/articles/PMC7565861/ /pubmed/32858958 http://dx.doi.org/10.3390/genes11091002 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Communication
Chow, Jonathan Tak-Sum
Salmena, Leonardo
Prediction and Analysis of SARS-CoV-2-Targeting MicroRNA in Human Lung Epithelium
title Prediction and Analysis of SARS-CoV-2-Targeting MicroRNA in Human Lung Epithelium
title_full Prediction and Analysis of SARS-CoV-2-Targeting MicroRNA in Human Lung Epithelium
title_fullStr Prediction and Analysis of SARS-CoV-2-Targeting MicroRNA in Human Lung Epithelium
title_full_unstemmed Prediction and Analysis of SARS-CoV-2-Targeting MicroRNA in Human Lung Epithelium
title_short Prediction and Analysis of SARS-CoV-2-Targeting MicroRNA in Human Lung Epithelium
title_sort prediction and analysis of sars-cov-2-targeting microrna in human lung epithelium
topic Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7565861/
https://www.ncbi.nlm.nih.gov/pubmed/32858958
http://dx.doi.org/10.3390/genes11091002
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