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    Please use this identifier to cite or link to this item: https://ir.cnu.edu.tw/handle/310902800/34348


    標題: Gene signatures and potential therapeutic targets of Middle East respiratory syndrome coronavirus (MERS-CoV)-infected human lung adenocarcinoma epithelial cells
    作者: Wu, Yen-Hung
    Yeh, I-Jeng
    Phan, Nam Nhut
    Yen, Meng-Chi
    Hung, Jui-Hsiang
    Chiao, Chung-Chieh
    Chen, Chien-Fu
    Sun, Zhengda
    Hsu, Hui-Ping
    Wang, Chih-Yang
    Lai, Ming-Derg
    貢獻者: Kaohsiung Med Univ, Kaohsiung Med Univ Hosp, Dept Emergency Med
    Kaohsiung Med Univ, Coll Med, Grad Inst Clin Med
    Nguyen Tat Thanh Univ, NTT Inst Hitechnol
    Chia Nan Univ Pharm & Sci, Dept Biotechnol
    I Shou Univ, Sch Chinese Med Postbaccalaureate
    Kaiser Permanente, Northern Calif Reg Labs, Permanente Med Grp
    Natl Cheng Kung Univ, Natl Cheng Kung Univ Hosp, Coll Med, Dept Surg
    Vanderbilt Univ, Dept Biostat, Med Ctr
    Taipei Med Univ, Coll Med Sci & Technol, PhD Program Canc Mol Biol & Drug Discovery
    Taipei Med Univ, Coll Med Sci & Technol, Grad Inst Canc Biol & Drug Discovery
    Natl Cheng Kung Univ, Dept Biochem & Mol Biol
    Natl Cheng Kung Univ, Coll Med, Inst Basic Med Sci
    關鍵字: Coronavirus
    Middle East respiratory syndrome coronavirus (MERS-CoV)
    miRNA
    Bioinformatics
    Connectivity map
    Lung adenocarcinoma
    日期: 2021
    上傳時間: 2023-11-11 11:45:00 (UTC+8)
    出版者: ELSEVIER TAIWAN
    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.
    關聯: J MICROBIOL IMMUNOL, v.54, n.5, pp.845-857
    Appears in Collections:[生物科技系(所)] 期刊論文

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