High expression of ACE2 receptor of 2019-nCoV on the epithelial cells of oral mucosa
Identifieur interne : 000B26 ( Ncbi/Curation ); précédent : 000B25; suivant : 000B27High expression of ACE2 receptor of 2019-nCoV on the epithelial cells of oral mucosa
Auteurs : Hao Xu ; Liang Zhong ; Jiaxin Deng ; Jiakuan Peng ; Hongxia Dan ; Xin Zeng ; Taiwen Li ; Qianming ChenSource :
- International Journal of Oral Science [ 1674-2818 ] ; 2020.
Descripteurs français
- KwdFr :
- Analyse de profil d'expression de gènes, Bases de données génétiques, Cellules épithéliales (métabolisme), Cellules épithéliales (virologie), Humains, Infections à coronavirus (génétique), Infections à coronavirus (transmission), Langue (métabolisme), Langue (virologie), Muqueuse de la bouche (enzymologie), Muqueuse de la bouche (virologie), Peptidyl-Dipeptidase A (métabolisme), Pneumopathie virale (génétique), Pneumopathie virale (transmission).
- MESH :
- enzymologie : Muqueuse de la bouche.
- génétique : Infections à coronavirus, Pneumopathie virale.
- métabolisme : Cellules épithéliales, Langue, Peptidyl-Dipeptidase A.
- virologie : Cellules épithéliales, Langue, Muqueuse de la bouche.
- transmission : Analyse de profil d'expression de gènes, Bases de données génétiques, Humains, Infections à coronavirus, Pneumopathie virale.
English descriptors
- KwdEn :
- Betacoronavirus (pathogenicity), Coronavirus Infections (genetics), Coronavirus Infections (transmission), Databases, Genetic, Epithelial Cells (metabolism), Epithelial Cells (virology), Gene Expression Profiling, Humans, Mouth Mucosa (enzymology), Mouth Mucosa (virology), Peptidyl-Dipeptidase A (metabolism), Pneumonia, Viral (genetics), Pneumonia, Viral (transmission), Tongue (metabolism), Tongue (virology).
- MESH :
- chemical , metabolism : Peptidyl-Dipeptidase A.
- enzymology : Mouth Mucosa.
- genetics : Coronavirus Infections, Pneumonia, Viral.
- metabolism : Epithelial Cells, Tongue.
- pathogenicity : Betacoronavirus.
- transmission : Coronavirus Infections, Pneumonia, Viral.
- virology : Epithelial Cells, Mouth Mucosa, Tongue.
- Databases, Genetic, Gene Expression Profiling, Humans.
Abstract
It has been reported that ACE2 is the main host cell receptor of 2019-nCoV and plays a crucial role in the entry of virus into the cell to cause the final infection. To investigate the potential route of 2019-nCov infection on the mucosa of oral cavity, bulk RNA-seq profiles from two public databases including The Cancer Genome Atlas (TCGA) and Functional Annotation of The Mammalian Genome Cap Analysis of Gene Expression (FANTOM5 CAGE) dataset were collected. RNA-seq profiling data of 13 organ types with para-carcinoma normal tissues from TCGA and 14 organ types with normal tissues from FANTOM5 CAGE were analyzed in order to explore and validate the expression of ACE2 on the mucosa of oral cavity. Further, single-cell transcriptomes from an independent data generated in-house were used to identify and confirm the ACE2-expressing cell composition and proportion in oral cavity. The results demonstrated that the ACE2 expressed on the mucosa of oral cavity. Interestingly, this receptor was highly enriched in epithelial cells of tongue. Preliminarily, those findings have explained the basic mechanism that the oral cavity is a potentially high risk for 2019-nCoV infectious susceptibility and provided a piece of evidence for the future prevention strategy in dental clinical practice as well as daily life.
Url:
DOI: 10.1038/s41368-020-0074-x
PubMed: 32094336
PubMed Central: 7039956
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<imprint><date when="2020">2020</date>
</imprint>
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Betacoronavirus (pathogenicity)</term>
<term>Coronavirus Infections (genetics)</term>
<term>Coronavirus Infections (transmission)</term>
<term>Databases, Genetic</term>
<term>Epithelial Cells (metabolism)</term>
<term>Epithelial Cells (virology)</term>
<term>Gene Expression Profiling</term>
<term>Humans</term>
<term>Mouth Mucosa (enzymology)</term>
<term>Mouth Mucosa (virology)</term>
<term>Peptidyl-Dipeptidase A (metabolism)</term>
<term>Pneumonia, Viral (genetics)</term>
<term>Pneumonia, Viral (transmission)</term>
<term>Tongue (metabolism)</term>
<term>Tongue (virology)</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr"><term>Analyse de profil d'expression de gènes</term>
<term>Bases de données génétiques</term>
<term>Cellules épithéliales (métabolisme)</term>
<term>Cellules épithéliales (virologie)</term>
<term>Humains</term>
<term>Infections à coronavirus (génétique)</term>
<term>Infections à coronavirus (transmission)</term>
<term>Langue (métabolisme)</term>
<term>Langue (virologie)</term>
<term>Muqueuse de la bouche (enzymologie)</term>
<term>Muqueuse de la bouche (virologie)</term>
<term>Peptidyl-Dipeptidase A (métabolisme)</term>
<term>Pneumopathie virale (génétique)</term>
<term>Pneumopathie virale (transmission)</term>
</keywords>
<keywords scheme="MESH" type="chemical" qualifier="metabolism" xml:lang="en"><term>Peptidyl-Dipeptidase A</term>
</keywords>
<keywords scheme="MESH" qualifier="enzymologie" xml:lang="fr"><term>Muqueuse de la bouche</term>
</keywords>
<keywords scheme="MESH" qualifier="enzymology" xml:lang="en"><term>Mouth Mucosa</term>
</keywords>
<keywords scheme="MESH" qualifier="genetics" xml:lang="en"><term>Coronavirus Infections</term>
<term>Pneumonia, Viral</term>
</keywords>
<keywords scheme="MESH" qualifier="génétique" xml:lang="fr"><term>Infections à coronavirus</term>
<term>Pneumopathie virale</term>
</keywords>
<keywords scheme="MESH" qualifier="metabolism" xml:lang="en"><term>Epithelial Cells</term>
<term>Tongue</term>
</keywords>
<keywords scheme="MESH" qualifier="métabolisme" xml:lang="fr"><term>Cellules épithéliales</term>
<term>Langue</term>
<term>Peptidyl-Dipeptidase A</term>
</keywords>
<keywords scheme="MESH" qualifier="pathogenicity" xml:lang="en"><term>Betacoronavirus</term>
</keywords>
<keywords scheme="MESH" qualifier="transmission" xml:lang="en"><term>Coronavirus Infections</term>
<term>Pneumonia, Viral</term>
</keywords>
<keywords scheme="MESH" qualifier="virologie" xml:lang="fr"><term>Cellules épithéliales</term>
<term>Langue</term>
<term>Muqueuse de la bouche</term>
</keywords>
<keywords scheme="MESH" qualifier="virology" xml:lang="en"><term>Epithelial Cells</term>
<term>Mouth Mucosa</term>
<term>Tongue</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Databases, Genetic</term>
<term>Gene Expression Profiling</term>
<term>Humans</term>
</keywords>
<keywords scheme="MESH" qualifier="transmission" xml:lang="fr"><term>Analyse de profil d'expression de gènes</term>
<term>Bases de données génétiques</term>
<term>Humains</term>
<term>Infections à coronavirus</term>
<term>Pneumopathie virale</term>
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<front><div type="abstract" xml:lang="en"><p id="Par1">It has been reported that ACE2 is the main host cell receptor of 2019-nCoV and plays a crucial role in the entry of virus into the cell to cause the final infection. To investigate the potential route of 2019-nCov infection on the mucosa of oral cavity, bulk RNA-seq profiles from two public databases including The Cancer Genome Atlas (TCGA) and Functional Annotation of The Mammalian Genome Cap Analysis of Gene Expression (FANTOM5 CAGE) dataset were collected. RNA-seq profiling data of 13 organ types with para-carcinoma normal tissues from TCGA and 14 organ types with normal tissues from FANTOM5 CAGE were analyzed in order to explore and validate the expression of ACE2 on the mucosa of oral cavity. Further, single-cell transcriptomes from an independent data generated in-house were used to identify and confirm the ACE2-expressing cell composition and proportion in oral cavity. The results demonstrated that the ACE2 expressed on the mucosa of oral cavity. Interestingly, this receptor was highly enriched in epithelial cells of tongue. Preliminarily, those findings have explained the basic mechanism that the oral cavity is a potentially high risk for 2019-nCoV infectious susceptibility and provided a piece of evidence for the future prevention strategy in dental clinical practice as well as daily life.</p>
</div>
</front>
<back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Wang, C" uniqKey="Wang C">C Wang</name>
</author>
<author><name sortKey="Horby, Pw" uniqKey="Horby P">PW Horby</name>
</author>
<author><name sortKey="Hayden, Fg" uniqKey="Hayden F">FG Hayden</name>
</author>
<author><name sortKey="Gao, Gf" uniqKey="Gao G">GF Gao</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Katoh, K" uniqKey="Katoh K">K Katoh</name>
</author>
<author><name sortKey="Standley, Dm" uniqKey="Standley D">DM Standley</name>
</author>
</analytic>
</biblStruct>
<biblStruct></biblStruct>
<biblStruct><analytic><author><name sortKey="Zhou, P" uniqKey="Zhou P">P Zhou</name>
</author>
</analytic>
</biblStruct>
<biblStruct></biblStruct>
<biblStruct><analytic><author><name sortKey="Lu, R" uniqKey="Lu R">R Lu</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Li, W" uniqKey="Li W">W Li</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Hofmann, H" uniqKey="Hofmann H">H Hofmann</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Xu, X" uniqKey="Xu X">X Xu</name>
</author>
</analytic>
</biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct><analytic><author><name sortKey="De Wit, E" uniqKey="De Wit E">E de Wit</name>
</author>
<author><name sortKey="Van Doremalen, N" uniqKey="Van Doremalen N">N van Doremalen</name>
</author>
<author><name sortKey="Falzarano, D" uniqKey="Falzarano D">D Falzarano</name>
</author>
<author><name sortKey="Munster, Vj" uniqKey="Munster V">VJ Munster</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Chen, Y" uniqKey="Chen Y">Y Chen</name>
</author>
<author><name sortKey="Liu, Q" uniqKey="Liu Q">Q Liu</name>
</author>
<author><name sortKey="Guo, D" uniqKey="Guo D">D Guo</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Ren, X" uniqKey="Ren X">X Ren</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Harmer, D" uniqKey="Harmer D">D Harmer</name>
</author>
<author><name sortKey="Gilbert, M" uniqKey="Gilbert M">M Gilbert</name>
</author>
<author><name sortKey="Borman, R" uniqKey="Borman R">R Borman</name>
</author>
<author><name sortKey="Clark, Kl" uniqKey="Clark K">KL Clark</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Hamming, I" uniqKey="Hamming I">I Hamming</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Rostom, R" uniqKey="Rostom R">R Rostom</name>
</author>
<author><name sortKey="Svensson, V" uniqKey="Svensson V">V Svensson</name>
</author>
<author><name sortKey="Teichmann, Sa" uniqKey="Teichmann S">SA Teichmann</name>
</author>
<author><name sortKey="Kar, G" uniqKey="Kar G">G Kar</name>
</author>
</analytic>
</biblStruct>
<biblStruct></biblStruct>
<biblStruct><analytic><author><name sortKey="Peixoto, Ap" uniqKey="Peixoto A">AP Peixoto</name>
</author>
<author><name sortKey="Campos, Gs" uniqKey="Campos G">GS Campos</name>
</author>
<author><name sortKey="Queiroz, Lb" uniqKey="Queiroz L">LB Queiroz</name>
</author>
<author><name sortKey="Sardi, Si" uniqKey="Sardi S">SI Sardi</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Dionne, Kr" uniqKey="Dionne K">KR Dionne</name>
</author>
<author><name sortKey="Warnakulasuriya, S" uniqKey="Warnakulasuriya S">S Warnakulasuriya</name>
</author>
<author><name sortKey="Zain, Rb" uniqKey="Zain R">RB Zain</name>
</author>
<author><name sortKey="Cheong, Sc" uniqKey="Cheong S">SC Cheong</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Li, J" uniqKey="Li J">J Li</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Wang, Z" uniqKey="Wang Z">Z Wang</name>
</author>
</analytic>
</biblStruct>
<biblStruct></biblStruct>
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