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Yin P, Jian X, Liu Y, Liu Y, Lv L, Cui H, Zhang L. Elucidating cellular interactome of chikungunya virus identifies host dependency factors. Virol Sin 2023; 38:497-507. [PMID: 37182691 PMCID: PMC10436055 DOI: 10.1016/j.virs.2023.05.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Accepted: 05/11/2023] [Indexed: 05/16/2023] Open
Abstract
Chikungunya virus (CHIKV) is a re-emerging mosquito-transmitted RNA virus causing joint and muscle pain. To better understand how CHIKV rewires the host cell and usurps host cell functions, we generated a systematic CHIKV-human protein-protein interaction map and revealed several novel connections that will inform further mechanistic studies. One of these novel interactions, between the viral protein E1 and STIP1 homology and U-box containing protein 1 (STUB1), was found to mediate ubiquitination of E1 and degrade E1 through the proteasome. Capsid associated with G3BP1, G3BP2 and AAA+ ATPase valosin-containing protein (VCP). Furthermore, VCP inhibitors blocked CHIKV infection, suggesting VCP could serve as a therapeutic target. Further work is required to fully understand the functional consequences of these interactions. Given that CHIKV proteins are conserved across alphaviruses, many virus-host protein-protein interactions identified in this study might also exist in other alphaviruses. Construction of interactome of CHIKV provides the basis for further studying the function of alphavirus biology.
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Affiliation(s)
- Peiqi Yin
- Department of Clinical Laboratory Medicine, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, 250013, China; NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100176, China
| | - Xia Jian
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100176, China
| | - Yihan Liu
- Department of Pathogen Biology, School of Clinical and Basic Medical Sciences, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, 250117, China; Medical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, 250117, China
| | - Yuwen Liu
- Department of Pathogen Biology, School of Clinical and Basic Medical Sciences, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, 250117, China
| | - Lu Lv
- Department of Pathogen Biology, School of Clinical and Basic Medical Sciences, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, 250117, China; Medical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, 250117, China
| | - Haoran Cui
- Department of Pathogen Biology, School of Clinical and Basic Medical Sciences, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, 250117, China; Medical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, 250117, China
| | - Leiliang Zhang
- Department of Clinical Laboratory Medicine, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, 250013, China; Department of Pathogen Biology, School of Clinical and Basic Medical Sciences, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, 250117, China; Medical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, 250117, China.
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Abstract
Alphaviruses contain many human and animal pathogens, such as CHIKV, SINV, and VEEV. Accumulating evidence indicates that innate immunity plays an important role in response to alphaviruses infection. In parallel, alphaviruses have evolved many strategies to evade host antiviral innate immunity. In the current review, we focus on the underlying mechanisms employed by alphaviruses to evade cGAS-STING, IFN, transcriptional host shutoff, translational host shutoff, and RNAi. Dissecting the detailed antiviral immune evasion mechanisms by alphaviruses will enhance our understanding of the pathogenesis of alphaviruses and may provide more effective strategies to control alphaviruses infection.
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Affiliation(s)
- Yihan Liu
- Department of Infectious Diseases, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
- Department of Pathogen Biology, School of Clinical and Basic Medical Sciences, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China
- Medical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China
| | - Yupei Yuan
- Department of Pathogen Biology, School of Clinical and Basic Medical Sciences, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China
- Medical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China
| | - Leiliang Zhang
- Department of Infectious Diseases, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
- Department of Pathogen Biology, School of Clinical and Basic Medical Sciences, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China
- Medical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China
- *Correspondence: Leiliang Zhang,
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Xu W, Pei G, Liu H, Ju X, Wang J, Ding Q, Li P. Compartmentalization-aided interaction screening reveals extensive high-order complexes within the SARS-CoV-2 proteome. Cell Rep 2021; 36:109482. [PMID: 34297909 PMCID: PMC8285250 DOI: 10.1016/j.celrep.2021.109482] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Revised: 05/21/2021] [Accepted: 07/12/2021] [Indexed: 12/12/2022] Open
Abstract
Bearing a relatively large single-stranded RNA genome in nature, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) utilizes sophisticated replication/transcription complexes (RTCs), mainly composed of a network of nonstructural proteins and nucleocapsid protein, to establish efficient infection. In this study, we develop an innovative interaction screening strategy based on phase separation in cellulo, namely compartmentalization of protein-protein interactions in cells (CoPIC). Utilizing CoPIC screening, we map the interaction network among RTC-related viral proteins. We identify a total of 47 binary interactions among 14 proteins governing replication, discontinuous transcription, and translation of coronaviruses. Further exploration via CoPIC leads to the discovery of extensive ternary complexes composed of these components, which infer potential higher-order complexes. Taken together, our results present an efficient and robust interaction screening strategy, and they indicate the existence of a complex interaction network among RTC-related factors, thus opening up opportunities to understand SARS-CoV-2 biology and develop therapeutic interventions for COVID-19.
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Affiliation(s)
- Weifan Xu
- Beijing Advanced Innovation Center for Structural Biology & Frontier Research Center for Biological Structure, Beijing, China; Tsinghua-Peking Center for Life Sciences, Beijing, China; School of Life Sciences, Tsinghua University, Beijing, China
| | - Gaofeng Pei
- Beijing Advanced Innovation Center for Structural Biology & Frontier Research Center for Biological Structure, Beijing, China; Tsinghua-Peking Center for Life Sciences, Beijing, China; School of Life Sciences, Tsinghua University, Beijing, China
| | - Hongrui Liu
- School of Life Sciences, Tsinghua University, Beijing, China
| | - Xiaohui Ju
- Beijing Advanced Innovation Center for Structural Biology & Frontier Research Center for Biological Structure, Beijing, China; School of Medicine, Tsinghua University, Beijing, China
| | - Jing Wang
- Beijing Advanced Innovation Center for Structural Biology & Frontier Research Center for Biological Structure, Beijing, China; Tsinghua-Peking Center for Life Sciences, Beijing, China; School of Life Sciences, Tsinghua University, Beijing, China
| | - Qiang Ding
- Beijing Advanced Innovation Center for Structural Biology & Frontier Research Center for Biological Structure, Beijing, China; School of Medicine, Tsinghua University, Beijing, China
| | - Pilong Li
- Beijing Advanced Innovation Center for Structural Biology & Frontier Research Center for Biological Structure, Beijing, China; Tsinghua-Peking Center for Life Sciences, Beijing, China; School of Life Sciences, Tsinghua University, Beijing, China.
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