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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| Veröffentlicht in: | Genes 2020-08, Vol.11 (9), p.1002 |
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| 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. |
| doi_str_mv | 10.3390/genes11091002 |
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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.</description><identifier>ISSN: 2073-4425</identifier><identifier>EISSN: 2073-4425</identifier><identifier>DOI: 10.3390/genes11091002</identifier><identifier>PMID: 32858958</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Alveolar Epithelial Cells - immunology ; Alveolar Epithelial Cells - virology ; Betacoronavirus - genetics ; Betacoronavirus - pathogenicity ; Cell Line, Tumor ; Communication ; Coronaviridae ; Coronaviruses ; COVID-19 ; Defense mechanisms ; Epithelium ; Genome, Viral ; Genomes ; Health aspects ; Humans ; Lung ; MicroRNAs ; MicroRNAs - genetics ; MicroRNAs - metabolism ; miRNA ; Nucleotide Motifs ; Pandemics ; Physiological aspects ; RNA viruses ; SARS-CoV-2 ; Sequence Analysis, RNA ; Severe acute respiratory syndrome coronavirus 2 ; Viral infections</subject><ispartof>Genes, 2020-08, Vol.11 (9), p.1002</ispartof><rights>COPYRIGHT 2020 MDPI AG</rights><rights>2020. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2020 by the authors. 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c509t-189849685ca197566ed605e588421500dbc8f9f3012121082e34a93e1431d1f63</citedby><cites>FETCH-LOGICAL-c509t-189849685ca197566ed605e588421500dbc8f9f3012121082e34a93e1431d1f63</cites><orcidid>0000-0002-6783-5032</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7565861/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7565861/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32858958$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Chow, Jonathan Tak-Sum</creatorcontrib><creatorcontrib>Salmena, Leonardo</creatorcontrib><title>Prediction and Analysis of SARS-CoV-2-Targeting MicroRNA in Human Lung Epithelium</title><title>Genes</title><addtitle>Genes (Basel)</addtitle><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. 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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.</description><subject>Alveolar Epithelial Cells - immunology</subject><subject>Alveolar Epithelial Cells - virology</subject><subject>Betacoronavirus - genetics</subject><subject>Betacoronavirus - pathogenicity</subject><subject>Cell Line, Tumor</subject><subject>Communication</subject><subject>Coronaviridae</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>Defense mechanisms</subject><subject>Epithelium</subject><subject>Genome, Viral</subject><subject>Genomes</subject><subject>Health aspects</subject><subject>Humans</subject><subject>Lung</subject><subject>MicroRNAs</subject><subject>MicroRNAs - genetics</subject><subject>MicroRNAs - metabolism</subject><subject>miRNA</subject><subject>Nucleotide Motifs</subject><subject>Pandemics</subject><subject>Physiological aspects</subject><subject>RNA viruses</subject><subject>SARS-CoV-2</subject><subject>Sequence Analysis, RNA</subject><subject>Severe acute respiratory syndrome coronavirus 2</subject><subject>Viral infections</subject><issn>2073-4425</issn><issn>2073-4425</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNpVkctP3DAQxq0KVNDCkSuKxDnt-Ln2BSlaQbfStjx24WqZxAlGib3YSaX97-sKymPmMNb4p2_G_hA6wfCNUgXfO-ttwhgUBiBf0CGBOS0ZI3zvw_kAHaf0BDkYEAD-FR1QIrlUXB6im-toG1ePLvjC-KaovOl3yaUitMW6ul2Xi3BfknJjYmdH57vil6tjuP1dFc4Xy2kwvlhNuX2xdeOj7d00HKH91vTJHr_WGbq7vNgsluXq6sfPRbUqaw5qLLFUkikheW2wmnMhbCOAWy4lI5gDNA-1bFVLAZOcIImlzChqMaO4wa2gM3T-orudHgbb1NaP0fR6G91g4k4H4_TnG-8edRf-6DyMS4GzwNmrQAzPk02jfgpTzO9PmjAq5wyUmL9Tnemtdr4NWaweXKp1JRimAhTITJUvVP6clKJt3_bAoP9ZpT9ZlfnTj8u_0f-NoX8B3xmL4g</recordid><startdate>20200826</startdate><enddate>20200826</enddate><creator>Chow, Jonathan Tak-Sum</creator><creator>Salmena, Leonardo</creator><general>MDPI AG</general><general>MDPI</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>COVID</scope><scope>DWQXO</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>LK8</scope><scope>M7P</scope><scope>P64</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>RC3</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-6783-5032</orcidid></search><sort><creationdate>20200826</creationdate><title>Prediction and Analysis of SARS-CoV-2-Targeting MicroRNA in Human Lung Epithelium</title><author>Chow, Jonathan Tak-Sum ; Salmena, Leonardo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c509t-189849685ca197566ed605e588421500dbc8f9f3012121082e34a93e1431d1f63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Alveolar Epithelial Cells - immunology</topic><topic>Alveolar Epithelial Cells - virology</topic><topic>Betacoronavirus - genetics</topic><topic>Betacoronavirus - pathogenicity</topic><topic>Cell Line, Tumor</topic><topic>Communication</topic><topic>Coronaviridae</topic><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>Defense mechanisms</topic><topic>Epithelium</topic><topic>Genome, Viral</topic><topic>Genomes</topic><topic>Health aspects</topic><topic>Humans</topic><topic>Lung</topic><topic>MicroRNAs</topic><topic>MicroRNAs - genetics</topic><topic>MicroRNAs - metabolism</topic><topic>miRNA</topic><topic>Nucleotide Motifs</topic><topic>Pandemics</topic><topic>Physiological aspects</topic><topic>RNA viruses</topic><topic>SARS-CoV-2</topic><topic>Sequence Analysis, RNA</topic><topic>Severe acute respiratory syndrome coronavirus 2</topic><topic>Viral infections</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chow, Jonathan Tak-Sum</creatorcontrib><creatorcontrib>Salmena, Leonardo</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>Coronavirus Research Database</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Biological Science Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Genetics Abstracts</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Genes</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chow, Jonathan Tak-Sum</au><au>Salmena, Leonardo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prediction and Analysis of SARS-CoV-2-Targeting MicroRNA in Human Lung Epithelium</atitle><jtitle>Genes</jtitle><addtitle>Genes (Basel)</addtitle><date>2020-08-26</date><risdate>2020</risdate><volume>11</volume><issue>9</issue><spage>1002</spage><pages>1002-</pages><issn>2073-4425</issn><eissn>2073-4425</eissn><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. 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| subjects | Alveolar Epithelial Cells - immunology Alveolar Epithelial Cells - virology Betacoronavirus - genetics Betacoronavirus - pathogenicity Cell Line, Tumor Communication Coronaviridae Coronaviruses COVID-19 Defense mechanisms Epithelium Genome, Viral Genomes Health aspects Humans Lung MicroRNAs MicroRNAs - genetics MicroRNAs - metabolism miRNA Nucleotide Motifs Pandemics Physiological aspects RNA viruses SARS-CoV-2 Sequence Analysis, RNA Severe acute respiratory syndrome coronavirus 2 Viral infections |
| title | Prediction and Analysis of SARS-CoV-2-Targeting MicroRNA in Human Lung Epithelium |
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