References
- Bairoch, A., & Apweiler, R. (2000). The SWISS-PROT protein sequence database and its supplement TrEMBL in 2000. Nucleic Acids Research, 28(1), 45–48. https://doi.org/https://doi.org/10.1093/nar/28.1.45
- Belouzard, S., Chu, V. C., & Whittaker, G. R. (2009). Activation of the SARS coronavirus spike protein via sequential proteolytic cleavage at two distinct sites. Proceedings of the National Academy of Sciences of the United States of America, 106(14), 5871–5876. https://doi.org/https://doi.org/10.1073/pnas.0809524106
- Blanco-Melo, D., Nilsson-Payant, B. E., Liu, W.-C., Møller, R., Panis, M., Sachs, D., Albrecht, R. A., & tenOever, B. R. (2020). SARS-CoV-2 launches a unique transcriptional signature from in vitro, ex vivo, and in vivo systems. bioRxiv: 2020.2003.2024.004655.
- Blom, N., Sicheritz-Pontén, T., Gupta, R., Gammeltoft, S., & Brunak, S. (2004). Prediction of post-translational glycosylation and phosphorylation of proteins from the amino acid sequence. Proteomics, 4(6), 1633–1649. https://doi.org/https://doi.org/10.1002/pmic.200300771
- Chen, Y., & Wang, X. (2020). miRDB: An online database for prediction of functional microRNA targets. Nucleic Acids Research, 48(D1), D127–D131. https://doi.org/https://doi.org/10.1093/nar/gkz757
- Cheng, H., Wang, Y., & Wang, G. Q. (2020). Organ‐protective effect of angiotensin‐converting enzyme 2 and its effect on the prognosis of COVID‐19. Journal of Medical Virology, 92(7), 726–730. https://doi.org/https://doi.org/10.1002/jmv.25785
- Choi, Y., & Chan, A. P. (2015). PROVEAN web server: A tool to predict the functional effect of amino acid substitutions and indels. Bioinformatics (Oxford, England), 31(16), 2745–2747. https://doi.org/https://doi.org/10.1093/bioinformatics/btv195
- Dingerdissen, H. M., Torcivia-Rodriguez, J., Hu, Y., Chang, T.-C., Mazumder, R., & Kahsay, R. (2018). BioMuta and BioXpress: Mutation and expression knowledgebases for cancer biomarker discovery. Nucleic Acids Research, 46(D1), D1128–D1136. https://doi.org/https://doi.org/10.1093/nar/gkx907
- Donoghue, M., Hsieh, F., Baronas, E., Godbout, K., Gosselin, M., Stagliano, N., Donovan, M., Woolf, B., Robison, K., Jeyaseelan, R., Breitbart, R. E., & Acton, S. (2000). A novel angiotensin-converting enzyme-related carboxypeptidase (ACE2) converts angiotensin I to angiotensin 1-9. Circulation Research, 87(5), E1–e9. https://doi.org/https://doi.org/10.1161/01.res.87.5.e1
- Duckert, P., Brunak, S., & Blom, N. (2004). Prediction of proprotein convertase cleavage sites. Protein Engineering, Design & Selection : Peds, 17(1), 107–112. https://doi.org/https://doi.org/10.1093/protein/gzh013
- Emanuelsson, O., Brunak, S., von Heijne, G., & Nielsen, H. (2007). Locating proteins in the cell using TargetP, SignalP and related tools. Nature Protocols, 2(4), 953–971. https://doi.org/https://doi.org/10.1038/nprot.2007.131
- Fagerberg, L., Hallström, B. M., Oksvold, P., Kampf, C., Djureinovic, D., Odeberg, J., Habuka, M., Tahmasebpoor, S., Danielsson, A., Edlund, K., Asplund, A., Sjöstedt, E., Lundberg, E., Szigyarto, C. A.-K., Skogs, M., Takanen, J. O., Berling, H., Tegel, H., Mulder, J., Nilsson, P., Schwenk, J. M., Lindskog, C., Danielsson, F., Mardinoglu, A., Sivertsson, A., von Feilitzen, K., Forsberg, M., Zwahlen, M., Olsson, I., Navani, S., Huss, M., Nielsen, J., Ponten, F., & Uhlén, M. (2014). Analysis of the human tissue-specific expression by genome-wide integration of transcriptomics and antibody-based proteomics. Molecular & Cellular Proteomics : Mcp, 13(2), 397–406. https://doi.org/https://doi.org/10.1074/mcp.M113.035600
- Fang, Y., Gao, F., Hao, J., & Liu, Z. (2017). microRNA-1246 mediates lipopolysaccharide-induced pulmonary endothelial cell apoptosis and acute lung injury by targeting angiotensin-converting enzyme 2. American Journal of Translational Research, 9(3), 1287–1296.
- Ferrario, C. M., Trask, A. J., & Jessup, J. A. (2005). Advances in biochemical and functional roles of angiotensin-converting enzyme 2 and angiotensin-(1-7) in regulation of cardiovascular function. American Journal of Physiology. Heart and Circulatory Physiology, 289(6), H2281–H2290. https://doi.org/https://doi.org/10.1152/ajpheart.00618.2005
- Gao, G. F. (2018). From “A"IV to "Z"IKV: Attacks from emerging and re-emerging pathogens. Cell, 172(6), 1157–1159. https://doi.org/https://doi.org/10.1016/j.cell.2018.02.025
- Garg, V. K., Avashthi, H., Tiwari, A., Jain, P. A., Ramkete, P. W., Kayastha, A. M., & Singh, V. K. (2016). MFPPI - Multi FASTA ProtParam Interface. Bioinformation, 12(2), 74–77. https://doi.org/https://doi.org/10.6026/97320630012074
- GeneCards, T. H. G. D. (2020). ACE2 Gene. Retrieved 11 June, 2020, from https://www.genecards.org/cgi-bin/carddisp.pl?gene=ACE2.
- Gorbalenya, A., Baker, S., Baric, R., de Groot, R., Drosten, C., Gulyaeva, A., Haagmans, B., Lauber, C., Leontovich, A., & Neuman, B. (2020). The species severe acute respiratory syndrome related coronavirus: Classifying 2019-nCoV and naming it SARS-CoV-2. Nature Microbiology, 5, 536–544.
- Guan, W.-J., Ni, Z.-Y., Hu, Y., Liang, W.-H., Ou, C.-Q., He, J.-X., Liu, L., Shan, H., Lei, C.-L., Hui, D. S. C., Du, B., Li, L.-J., Zeng, G., Yuen, K.-Y., Chen, R.-C., Tang, C.-L., Wang, T., Chen, P.-Y., Xiang, J., … China Medical Treatment Expert Group for Covid-19 (2020). Clinical characteristics of coronavirus disease 2019 in China. The New England Journal of Medicine, 382(18), 1708–1720. https://doi.org/https://doi.org/10.1056/NEJMoa2002032
- Guex, N., & Peitsch, M. C. (1997). SWISS-MODEL and the Swiss-PdbViewer: An environment for comparative protein modeling. Electrophoresis, 18(15), 2714–2723. https://doi.org/https://doi.org/10.1002/elps.1150181505
- Gupta, R., Jung, E., & Brunak, S. (2004). Prediction of N-glycosylation sites in human proteins. 46, 203–206.
- Guruprasad, K., Reddy, B. B., & Pandit, M. W. (1990). Correlation between stability of a protein and its dipeptide composition: A novel approach for predicting in vivo stability of a protein from its primary sequence. Protein Engineering, 4(2), 155–161. https://doi.org/https://doi.org/10.1093/protein/4.2.155
- Hamming, I., Cooper, M. E., Haagmans, B. L., Hooper, N. M., Korstanje, R., Osterhaus, A. D., Timens, W., Turner, A., Navis, G., & van Goor, H. (2007). The emerging role of ACE2 in physiology and disease. The Journal of Pathology, 212(1), 1–11. https://doi.org/https://doi.org/10.1002/path.2162
- He, X., Chang, S., Zhang, J., Zhao, Q., Xiang, H., Kusonmano, K., Yang, L., Sun, Z. S., Yang, H., & Wang, J. (2008). MethyCancer: The database of human DNA methylation and cancer. Nucleic Acids Research, 36(Database issue), D836–841. (Database issue): https://doi.org/https://doi.org/10.1093/nar/gkm730
- Holshue, M. L., DeBolt, C., Lindquist, S., Lofy, K. H., Wiesman, J., Bruce, H., Spitters, C., Ericson, K., Wilkerson, S., Tural, A., Diaz, G., Cohn, A., Fox, L., Patel, A., Gerber, S. I., Kim, L., Tong, S., Lu, X., & Lindstrom, S. (2020). First case of 2019 novel coronavirus in the United States. The New England Journal of Medicine, 382(10), 929–936. https://doi.org/https://doi.org/10.1056/NEJMoa2001191
- Huang, C., Wang, Y., Li, X., Ren, L., Zhao, J., Hu, Y., Zhang, L., Fan, G., Xu, J., Gu, X., Cheng, Z., Yu, T., Xia, J., Wei, Y., Wu, W., Xie, X., Yin, W., Li, H., & Liu, M. (2020). Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. The Lancet, 395(10223), 497–506. https://doi.org/https://doi.org/10.1016/S0140-6736(20)30183-5
- Ikai, A. (1980). Thermostability and aliphatic index of globular proteins. The Journal of Biochemistry, 88(6), 1895–1898.
- Imai, Y., Kuba, K., Rao, S., Huan, Y., Guo, F., Guan, B., Yang, P., Sarao, R., Wada, T., Leong-Poi, H., Crackower, M. A., Fukamizu, A., Hui, C.-C., Hein, L., Uhlig, S., Slutsky, A. S., Jiang, C., & Penninger, J. M. (2005). Angiotensin-converting enzyme 2 protects from severe acute lung failure. Nature, 436(7047), 112–116. https://doi.org/https://doi.org/10.1038/nature03712
- Jia, Q., Chang, J., Hong, Q., Zhang, J-j., Zhou, H., & Chen, F-h. (2018). MiR-212-5p exerts a protective effect in chronic obstructive pulmonary disease. Discovery Medicine, 26(144), 173–183.
- Jing, Y., Run-Qian, L., Hao-Ran, W., Hao-Ran, C., Ya-Bin, L., Yang, G., & Fei, C. (2020). Potential influence of COVID-19/ACE2 on the female reproductive system. Molecular Human Reproduction, 26(6), 367–373. https://doi.org/https://doi.org/10.1093/molehr/gaaa030
- Johansen, M. B., Kiemer, L., & Brunak, S. (2006). Analysis and prediction of mammalian protein glycation. Glycobiology, 16(9), 844–853. https://doi.org/https://doi.org/10.1093/glycob/cwl009
- Julenius, K. (2007). NetCGlyc 1.0: Prediction of mammalian C-mannosylation sites. Glycobiology, 17(8), 868–876. https://doi.org/https://doi.org/10.1093/glycob/cwm050
- Kiemer, L., Lund, O., Brunak, S., & Blom, N. (2004). Coronavirus 3CLpro proteinase cleavage sites: Possible relevance to SARS virus pathology. BMC Bioinformatics, 5, 72–72. https://doi.org/https://doi.org/10.1186/1471-2105-5-72
- Krogh, A., Larsson, B., von Heijne, G., & Sonnhammer, E. L. (2001). Predicting transmembrane protein topology with a hidden Markov model: Application to complete genomes. Journal of Molecular Biology, 305(3), 567–580. https://doi.org/https://doi.org/10.1006/jmbi.2000.4315
- Kuba, K., Imai, Y., Ohto-Nakanishi, T., & Penninger, J. M. (2010). Trilogy of ACE2: A peptidase in the renin-angiotensin system, a SARS receptor, and a partner for amino acid transporters. Pharmacology & Therapeutics, 128(1), 119–128. https://doi.org/https://doi.org/10.1016/j.pharmthera.2010.06.003
- Kuba, K., Imai, Y., Rao, S., Gao, H., Guo, F., Guan, B., Huan, Y., Yang, P., Zhang, Y., Deng, W., Bao, L., Zhang, B., Liu, G., Wang, Z., Chappell, M., Liu, Y., Zheng, D., Leibbrandt, A., & Wada, T. (2005). A crucial role of angiotensin converting enzyme 2 (ACE2) in SARS coronavirus-induced lung injury. Nature Medicine, 11(8), 875–879. https://doi.org/https://doi.org/10.1038/nm1267
- Kuba, K., Imai, Y., Rao, S., Jiang, C., & Penninger, J. M. (2006). Lessons from SARS: Control of acute lung failure by the SARS receptor ACE2. Journal of Molecular Medicine (Berlin, Germany)), 84(10), 814–820. https://doi.org/https://doi.org/10.1007/s00109-006-0094-9
- Kumar, P., Henikoff, S., & Ng, P. C. (2009). Predicting the effects of coding non-synonymous variants on protein function using the SIFT algorithm. Nature Protocols, 4(7), 1073–1081. https://doi.org/https://doi.org/10.1038/nprot.2009.86
- Lai, M. (2007). Coronaviridae. Fields Virology, I, 1305–1318.
- Li, F., Li, W., Farzan, M., & Harrison, S. C. (2005). Structure of SARS coronavirus spike receptor-binding domain complexed with receptor. Science (New York, N.Y.).), 309(5742), 1864–1868. https://doi.org/https://doi.org/10.1126/science.1116480
- Liu, Q., Du, J., Yu, X., Xu, J., Huang, F., Li, X., Zhang, C., Li, X., Chang, J., Shang, D., Zhao, Y., Tian, M., Lu, H., Xu, J., Li, C., Zhu, H., Jin, N., & Jiang, C. (2017). miRNA-200c-3p is crucial in acute respiratory distress syndrome. Cell Discovery, 3(1), 1–17. https://doi.org/https://doi.org/10.1038/celldisc.2017.21
- Lu, G., & Liu, D. (2012). SARS-like virus in the Middle East: A truly bat-related coronavirus causing human diseases. Protein & Cell, 3(11), 803–805. https://doi.org/https://doi.org/10.1007/s13238-012-2811-1
- Lu, G., Wang, Q., & Gao, G. F. (2015). Bat-to-human: Spike features determining 'host jump' of coronaviruses SARS-CoV, MERS-CoV, and beyond. Trends in Microbiology, 23(8), 468–478. https://doi.org/https://doi.org/10.1016/j.tim.2015.06.003
- Lu, R., Zhao, X., Li, J., Niu, P., Yang, B., Wu, H., Wang, W., Song, H., Huang, B., Zhu, N., Bi, Y., Ma, X., Zhan, F., Wang, L., Hu, T., Zhou, H., Hu, Z., Zhou, W., & Zhao, L. (2020). Genomic characterisation and epidemiology of 2019 novel coronavirus: Implications for virus origins and receptor binding. The Lancet, 395(10224), 565–574. https://doi.org/https://doi.org/10.1016/S0140-6736(20)30251-8
- Lv, Z.-D., Yang, D.-X., Liu, X.-P., Jin, L.-Y., Wang, X.-G., Yang, Z.-C., Liu, D., Zhao, J.-J., Kong, B., Li, F.-N., & Wang, H.-B. (2017). MiR-212-5p Suppresses the epithelial-mesenchymal transition in triple-negative breast cancer by targeting Prrx2. Cellular Physiology and Biochemistry: International Journal of Experimental Cellular Physiology, Biochemistry, and Pharmacology, 44(5), 1785–1795. https://doi.org/https://doi.org/10.1159/000485785
- McCarthy, D. J., Chen, Y., & Smyth, G. K. (2012). Differential expression analysis of multifactor RNA-Seq experiments with respect to biological variation. Nucleic Acids Research, 40(10), 4288–4297. https://doi.org/https://doi.org/10.1093/nar/gks042
- McWilliam, H., Li, W., Uludag, M., Squizzato, S., Park, Y. M., Buso, N., Cowley, A. P., & Lopez, R. (2013). Analysis tool web services from the EMBL-EBI. Nucleic Acids Research, 41(Web Server issue), W597–W600. https://doi.org/https://doi.org/10.1093/nar/gkt376
- Millet, J. K., & Whittaker, G. R. (2015). Host cell proteases: Critical determinants of coronavirus tropism and pathogenesis. Virus Research, 202, 120–134. https://doi.org/https://doi.org/10.1016/j.virusres.2014.11.021
- NCBI Gene. (2020, 7th June). FOS Fos proto-oncogene, AP-1 transcription factor subunit [Homo sapiens (human)]. https://www.ncbi.nlm.nih.gov/gene/2353.
- NCBI Gene. (2020, 1st June). FOXO4 forkhead box O4 [Homo sapiens (human)]. https://www.ncbi.nlm.nih.gov/gene/4303.
- NCBI Gene. (2020, 7th June). FOXP2 forkhead box P2 [Homo sapiens (human)]. https://www.ncbi.nlm.nih.gov/gene/93986.
- NCBI Gene. (2020). ACE2 angiotensin I converting enzyme 2 [Homo sapiens (human)]. Retrieved June 9th, 2020. https://www.ncbi.nlm.nih.gov/gene/59272.
- Patel, S., Rauf, A., Khan, H., & Abu-Izneid, T. (2017). Renin-angiotensin-aldosterone (RAAS): The ubiquitous system for homeostasis and pathologies. Biomedicine & Pharmacotherapy = Biomedecine & Pharmacotherapie, 94, 317–325. https://doi.org/https://doi.org/10.1016/j.biopha.2017.07.091
- R Development Core Team. (2010). R: A language and environment for statistical computing, R Foundation for Statistical Computing. Austria..
- Ritchie, M. E., Phipson, B., Wu, D., Hu, Y., Law, C. W., Shi, W., & Smyth, G. K. (2015). limma powers differential expression analyses for RNA-sequencing and microarray studies. Nucleic Acids Research, 43(7), e47–e47. https://doi.org/https://doi.org/10.1093/nar/gkv007
- Sim, N. L., Kumar, P., Hu, J., Henikoff, S., Schneider, G., & Ng, P. C. (2012). SIFT web server: Predicting effects of amino acid substitutions on proteins. Nucleic Acids Research, 40(Web Server issue), W452–457. (Web Server issue): https://doi.org/https://doi.org/10.1093/nar/gks539
- Simmons, G., Gosalia, D. N., Rennekamp, A. J., Reeves, J. D., Diamond, S. L., & Bates, P. (2005). Inhibitors of cathepsin L prevent severe acute respiratory syndrome coronavirus entry. Proceedings of the National Academy of Sciences of the United States of America, 102(33), 11876–11881. https://doi.org/https://doi.org/10.1073/pnas.0505577102
- Simmons, G., Reeves, J. D., Rennekamp, A. J., Amberg, S. M., Piefer, A. J., & Bates, P. (2004). Characterization of severe acute respiratory syndrome-associated coronavirus (SARS-CoV) spike glycoprotein-mediated viral entry. Proceedings of the National Academy of Sciences of the United States of America, 101(12), 4240–4245. https://doi.org/https://doi.org/10.1073/pnas.0306446101
- Simmons, G., Zmora, P., Gierer, S., Heurich, A., & Pöhlmann, S. (2013). Proteolytic activation of the SARS-coronavirus spike protein: Cutting enzymes at the cutting edge of antiviral research. Antiviral Research, 100(3), 605–614. https://doi.org/https://doi.org/10.1016/j.antiviral.2013.09.028
- Slenter, D. N., Kutmon, M., Hanspers, K., Riutta, A., Windsor, J., Nunes, N., Mélius, J., Cirillo, E., Coort, S. L., Digles, D., Ehrhart, F., Giesbertz, P., Kalafati, M., Martens, M., Miller, R., Nishida, K., Rieswijk, L., Waagmeester, A., Eijssen, L. M. T., Evelo, C. T., Pico, A. R., & Willighagen, E. L. (2018). WikiPathways: A multifaceted pathway database bridging metabolomics to other omics research. Nucleic Acids Research, 46(D1), D661–D667. https://doi.org/https://doi.org/10.1093/nar/gkx1064
- Song, W., Gui, M., Wang, X., & Xiang, Y. (2018). Cryo-EM structure of the SARS coronavirus spike glycoprotein in complex with its host cell receptor ACE2. PLoS Pathogens, 14(8), e1007236 https://doi.org/https://doi.org/10.1371/journal.ppat.1007236
- Steentoft, C., Vakhrushev, S. Y., Joshi, H. J., Kong, Y., Vester-Christensen, M. B., Schjoldager, K. T., Lavrsen, K., Dabelsteen, S., Pedersen, N. B., Marcos-Silva, L., Gupta, R., Bennett, E. P., Mandel, U., Brunak, S., Wandall, H. H., Levery, S. B., & Clausen, H. (2013). Precision mapping of the human O-GalNAc glycoproteome through SimpleCell technology. The EMBO Journal, 32(10), 1478–1488. https://doi.org/https://doi.org/10.1038/emboj.2013.79
- Sticht, C., De La Torre, C., Parveen, A., & Gretz, N. (2018). miRWalk: An online resource for prediction of microRNA binding sites. PloS One, 13(10), e0206239. https://doi.org/https://doi.org/10.1371/journal.pone.0206239
- Su, S., Law, C. W., Ah-Cann, C., Asselin-Labat, M. L., Blewitt, M. E., & Ritchie, M. E. (2017). Glimma: Interactive graphics for gene expression analysis. Bioinformatics (Oxford, England)), 33(13), 2050–2052. https://doi.org/https://doi.org/10.1093/bioinformatics/btx094
- Szklarczyk, D., Morris, J. H., Cook, H., Kuhn, M., Wyder, S., Simonovic, M., Santos, A., Doncheva, N. T., Roth, A., Bork, P., Jensen, L. J., & von Mering, C. (2017). The STRING database in 2017: Quality-controlled protein-protein association networks, made broadly accessible. Nucleic Acids Research, 45(D1), D362–D368. https://doi.org/https://doi.org/10.1093/nar/gkw937
- Tang, H., & Thomas, P. D. (2016). PANTHER-PSEP: Predicting disease-causing genetic variants using position-specific evolutionary preservation. Bioinformatics (Oxford, England)), 32(14), 2230–2232. https://doi.org/https://doi.org/10.1093/bioinformatics/btw222
- Thomas, P. D., Kejariwal, A., Campbell, M. J., Mi, H., Diemer, K., Guo, N., Ladunga, I., Ulitsky-Lazareva, B., Muruganujan, A., Rabkin, S., Vandergriff, J. A., & Doremieux, O. (2003). PANTHER: A browsable database of gene products organized by biological function, using curated protein family and subfamily classification. Nucleic Acids Research, 31(1), 334–341. https://doi.org/https://doi.org/10.1093/nar/gkg115
- Tusnády, G. E., & Simon, I. (2001). The HMMTOP transmembrane topology prediction server. Bioinformatics (Oxford, England)), 17(9), 849–850. https://doi.org/https://doi.org/10.1093/bioinformatics/17.9.849
- Wang, C., Horby, P. W., Hayden, F. G., & Gao, G. F. (2020). A novel coronavirus outbreak of global health concern. The Lancet, 395(10223), 470–473. https://doi.org/https://doi.org/10.1016/S0140-6736(20)30185-9
- Warnes, G., Bolker, B., Bonebakker, L., Gentleman, R., Huber, W., Liaw, A., Lumley, T., Mächler, M., Magnusson, A., & Möller, S. (2005). gplots: Various R programming tools for plotting data.
- Wilkins, M. R., Gasteiger, E., Bairoch, A., Sanchez, J. C., Williams, K. L., Appel, R. D., & Hochstrasser, D. F. (1999). Protein identification and analysis tools in the ExPASy server. Methods in Molecular Biology (Clifton, N.J.), 112, 531–552.
- Wrapp, D., Wang, N., Corbett, K. S., Goldsmith, J. A., Hsieh, C.-L., Abiona, O., Graham, B. S., & McLellan, J. S. (2020). Cryo-EM structure of the 2019-nCoV spike in the prefusion conformation. Science (New York, N.Y.).), 367(6483), 1260–1263. https://doi.org/https://doi.org/10.1126/science.abb2507
- Wu, F., Zhao, S., Yu, B., Chen, Y.-M., Wang, W., Song, Z.-G., Hu, Y., Tao, Z.-W., Tian, J.-H., Pei, Y.-Y., Yuan, M.-L., Zhang, Y.-L., Dai, F.-H., Liu, Y., Wang, Q.-M., Zheng, J.-J., Xu, L., Holmes, E. C., & Zhang, Y.-Z. (2020). A new coronavirus associated with human respiratory disease in China. Nature, 579(7798), 265–269. https://doi.org/https://doi.org/10.1038/s41586-020-2008-3
- Xiao, L., Sakagami, H., & Miwa, N. (2020). ACE2: The key molecule for understanding the pathophysiology of severe and critical conditions of COVID-19: Demon or angel. Viruses, 12(5), 491. https://doi.org/https://doi.org/10.3390/v12050491
- Xu, H., Zhong, L., Deng, J., Peng, J., Dan, H., Zeng, X., Li, T., & Chen, Q. (2020). High expression of ACE2 receptor of 2019-nCoV on the epithelial cells of oral mucosa. International Journal of Oral Science, 12(1), 1–5. https://doi.org/https://doi.org/10.1038/s41368-020-0074-x
- Xu, X., Chen, P., Wang, J., Feng, J., Zhou, H., Li, X., Zhong, W., & Hao, P. (2020). Evolution of the novel coronavirus from the ongoing Wuhan outbreak and modeling of its spike protein for risk of human transmission. Science China. Life Sciences, 63(3), 457–460. https://doi.org/https://doi.org/10.1007/s11427-020-1637-5
- Yan, T., Xiao, R., & Lin, G. (2020). Angiotensin-converting enzyme 2 in severe acute respiratory syndrome coronavirus and SARS-CoV-2: A double-edged sword? FASEB Journal: Official Publication of the Federation of American Societies for Experimental Biology, 34(5), 6017–6026. https://doi.org/https://doi.org/10.1096/fj.202000782
- Yang, X., Zhao, H., Li, Y., & Zhang, P. (2020). Angiotensin converting enzyme 2 in coronavirus disease (COVID-19): Evidence from bioinformatics analysis.
- Yu, C. S., Cheng, C. W., Su, W. C., Chang, K. C., Huang, S. W., Hwang, J. K., & Lu, C. H. (2014). CELLO2GO: A web server for protein subCELlular LOcalization prediction with functional gene ontology annotation. PloS One, 9(6), e99368 https://doi.org/https://doi.org/10.1371/journal.pone.0099368
- Zhao, Y., Zhao, Z., Wang, Y., Zhou, Y., Ma, Y., & Zuo, W. (2020). Single-cell RNA expression profiling of ACE2, thereceptor of SARS-CoV-2. Biorxiv.
- Zhou, P., Yang, X.-L., Wang, X.-G., Hu, B., Zhang, L., Zhang, W., Si, H.-R., Zhu, Y., Li, B., Huang, C.-L., Chen, H.-D., Chen, J., Luo, Y., Guo, H., Jiang, R.-D., Liu, M.-Q., Chen, Y., Shen, X.-R., & Wang, X. (2020). A pneumonia outbreak associated with a new coronavirus of probable bat origin. Nature, 579(7798), 270–273. https://doi.org/https://doi.org/10.1038/s41586-020-2012-7
- Zhu, N., Zhang, D., Wang, W., Li, X., Yang, B., Song, J., Zhao, X., Huang, B., Shi, W., Lu, R., Niu, P., Zhan, F., Ma, X., Wang, D., Xu, W., Wu, G., Gao, G. F., & Tan, W. (2020). A novel coronavirus from patients with pneumonia in China, 2019. The New England Journal of Medicine, 382(8), 727–733. https://doi.org/https://doi.org/10.1056/NEJMoa2001017