中国病毒学2023，Vol.38Issue(4) ：508-519.DOI:10.1016/j.virs.2023.05.004

Integrated interactome and transcriptome analysis reveals key host factors critical for SARS-CoV-2 infection

Jie Sheng Lili Li Xueying Lv Meiling Gao Ziyi Chen Zhuo Zhou Jingfeng Wang Aiping Wu Taijiao Jiang
中国病毒学2023，Vol.38Issue(4) ：508-519.DOI:10.1016/j.virs.2023.05.004
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  • 万方数据

Integrated interactome and transcriptome analysis reveals key host factors critical for SARS-CoV-2 infection

Jie Sheng 1Lili Li 2Xueying Lv 3Meiling Gao 2Ziyi Chen 2Zhuo Zhou 2Jingfeng Wang 2Aiping Wu 2Taijiao Jiang4
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作者信息

  • 1. Institute of Systems Medicine,Chinese Academy of Medical Sciences & Peking Union Medical College,Beijing,100005,China;Suzhou Institute of Systems Medicine,Suzhou,215123,China;Institute of Basic Medical Sciences,Chinese Academy of Medical Sciences,School of Basic Medicine,Peking Union Medical College,Beijing,100005,China
  • 2. Institute of Systems Medicine,Chinese Academy of Medical Sciences & Peking Union Medical College,Beijing,100005,China;Suzhou Institute of Systems Medicine,Suzhou,215123,China
  • 3. Institute of Systems Medicine,Chinese Academy of Medical Sciences & Peking Union Medical College,Beijing,100005,China;Suzhou Institute of Systems Medicine,Suzhou,215123,China;Department of Microbiology and Parasitology,College of Basic Medical Sciences,China Medical University,Shenyang 110122,China
  • 4. Institute of Systems Medicine,Chinese Academy of Medical Sciences & Peking Union Medical College,Beijing,100005,China;Suzhou Institute of Systems Medicine,Suzhou,215123,China;Guangzhou Laboratory,Guangzhou,510005,China;State Key Laboratory of Respiratory Disease,the First Affiliated Hospital of Guangzhou Medical University,Guangzhou Medical University,Guangzhou,510120,China
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Abstract

The coronavirus disease 2019(COVID-19)pandemic,caused by severe acute respiratory syndrome coronavirus 2(SARS-CoV-2),has seriously threatened global public health and caused huge economic losses.Omics studies of SARS-CoV-2 can help understand the interaction between the virus and host,thereby providing a new perspective in guiding the intervention and treatment of the SARS-CoV-2 infection.Since large amount of SARS-CoV-2 omics data have been accumulated in public databases,this study aimed to identify key host factors involved in SARS-CoV-2 infection through systematic integration of transcriptome and interactome data.By manually curating published studies,we obtained a comprehensive SARS-CoV-2-human protein-protein interactions(PPIs)network,comprising 3591 human proteins interacting with 31 SARS-CoV-2 viral proteins.Using the RobustRankAg-gregation method,we identified 123 multiple cell line common genes(CLCGs),of which 115 up-regulated CLCGs showed host enhanced innate immunity and chemotactic response signatures.Combined with network analysis,co-expression and functional enrichment analysis,we discovered four key host factors involved in SARS-CoV-2 infection:IFITM1,SERPINE1,DDX60,and TNFAIP2.Furthermore,SERPINE1 was found to facilitate SARS-CoV-2 replication,and can alleviate the endoplasmic reticulum(ER)stress induced by ORF8 protein through interaction with ORF8.Our findings highlight the importance of systematic integration analysis in understanding SARS-CoV-2-human interactions and provide valuable insights for future research on potential therapeutic targets against SARS-CoV-2 infection.

Key words

SARS-CoV-2/Interactome/Transcriptome/Integration analysis/ER stress

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基金项目

National Natural Science Foundation of China(32070678)

National Natural Science Foundation of China(82102371)

National Natural Science Foundation of China(31671371)

Emergency Key Program of Guangzhou Laboratory(EKPG21-12)

Selfsupporting Program of Guangzhou Laboratory(SRPG22-007)

Selfsupporting Program of Guangzhou Laboratory(SRPG22-020)

National Key Research and Development Program of China(2020YFC0840800)

CAMS Innovation Fund for Medical Sciences(CIFMS)(2021-I2M-1-061)

National Key Research and Development Program of China(2021YFC2302000)

出版年

2023
中国病毒学
中国科学院武汉病毒研究所，中国微生物学会

中国病毒学

CSTPCDCSCD
影响因子：0.393
ISSN：1674-0769
参考文献量66
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