Gene signatures and potential therapeutic targets of Middle East respiratory syndrome coronavirus (MERS-CoV)-infected human lung adenocarcinoma epithelial cells

被引:21
作者
Wu, Yen-Hung [1 ,2 ]
Yeh, I-Jeng [1 ,2 ]
Nam Nhut Phan [3 ]
Yen, Meng-Chi [1 ,2 ]
Hung, Jui-Hsiang [4 ]
Chiao, Chung-Chieh [5 ]
Chen, Chien-Fu [5 ]
Sun, Zhengda [6 ]
Hsu, Hui-Ping [7 ,8 ]
Wang, Chih-Yang [9 ,10 ]
Lai, Ming-Derg [11 ,12 ]
机构
[1] Kaohsiung Med Univ, Kaohsiung Med Univ Hosp, Dept Emergency Med, Kaohsiung 80708, Taiwan
[2] Kaohsiung Med Univ, Coll Med, Grad Inst Clin Med, Kaohsiung 807, Taiwan
[3] Nguyen Tat Thanh Univ, NTT Inst Hitechnol, Ho Chi Minh City, Vietnam
[4] Chia Nan Univ Pharm & Sci, Dept Biotechnol, Tainan 71710, Taiwan
[5] I Shou Univ, Sch Chinese Med Postbaccalaureate, Kaohsiung 82445, Taiwan
[6] Kaiser Permanente, Northern Calif Reg Labs, Permanente Med Grp, 1725 Eastshore Hwy, Berkeley, CA 94710 USA
[7] Natl Cheng Kung Univ, Natl Cheng Kung Univ Hosp, Coll Med, Dept Surg, Tainan 70101, Taiwan
[8] Vanderbilt Univ, Dept Biostat, Med Ctr, Nashville, TN 37232 USA
[9] Taipei Med Univ, Coll Med Sci & Technol, PhD Program Canc Mol Biol & Drug Discovery, Taipei 11031, Taiwan
[10] Taipei Med Univ, Coll Med Sci & Technol, Grad Inst Canc Biol & Drug Discovery, Taipei 11031, Taiwan
[11] Natl Cheng Kung Univ, Dept Biochem & Mol Biol, Tainan 70101, Taiwan
[12] Natl Cheng Kung Univ, Coll Med, Inst Basic Med Sci, Tainan 70101, Taiwan
关键词
Coronavirus; Middle East respiratory syndrome coronavirus (MERS-CoV); miRNA; Bioinformatics; Connectivity map; Lung adenocarcinoma; CONNECTIVITY MAP; INFECTION; EXPRESSION; REPLICATION; INHIBITORS; COVID-19; HIV;
D O I
10.1016/j.jmii.2021.03.007
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
Background: Pathogenic coronaviruses include Middle East respiratory syndrome coronavirus (MERS-CoV), severe acute respiratory syndrome coronavirus (SARS-CoV), and SARS-CoV-2. These viruses have induced outbreaks worldwide, and there are currently no effective medications against them. Therefore, there is an urgent need to develop potential drugs against coronaviruses. Methods: High-throughput technology is widely used to explore differences in messenger (m) RNA and micro (mi)RNA expression profiles, especially to investigate proteineprotein interactions and search for new therapeutic compounds. We integrated miRNA and mRNA expression profiles in MERS-CoV-infected cells and compared them to mock-infected controls from public databases. Results: Through the bioinformatics analysis, there were 251 upregulated genes and eight highly differentiated miRNAs that overlapped in the two datasets. External validation verified that these genes had high expression in MERS-CoV-infected cells, including RC3H1, NF-kappa B, CD69, TNFAIP3, LEAP-2, DUSP10, CREB5, CXCL2, etc. We revealed that immune, olfactory or sensory system-related, and signal-transduction networks were discovered from upregulated mRNAs in MERS-CoV-infected cells. In total, 115 genes were predicted to be related to miRNAs, with the intersection of upregulated mRNAs and miRNA-targeting prediction genes such as TCF4, NR3C1, and POU2F2. Through the Connectivity Map (CMap) platform, we suggested potential compounds to use against MERS-CoV infection, including diethylcarbamazine, harpagoside, bumetanide, enalapril, and valproic acid. Conclusions: The present study illustrates the crucial roles of miRNA- mRNA interacting networks in MERS-CoV-infected cells. The genes we identified are potential targets for treating MERS-CoV infection; however, these could possibly be extended to other coronavirus infections. Copyright (C) 2021, Taiwan Society of Microbiology. Published by Elsevier Taiwan LLC.
引用
收藏
页码:845 / 857
页数:13
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