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Chen J, Feng X, Zhou X, Li Y. Role of the tripartite motif-containing (TRIM) family of proteins in insulin resistance and related disorders. Diabetes Obes Metab 2024; 26:3-15. [PMID: 37726973 DOI: 10.1111/dom.15294] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Revised: 08/27/2023] [Accepted: 09/05/2023] [Indexed: 09/21/2023]
Abstract
Emerging evidence suggests that the ubiquitin-mediated degradation of insulin-signalling-related proteins may be involved in the development of insulin resistance and its related disorders. Tripartite motif-containing (TRIM) proteins, a superfamily belonging to the E3 ubiquitin ligases, are capable of controlling protein levels and function by ubiquitination, which is essential for the modulation of insulin sensitivity. Recent research has indicated that some of these TRIMs act as key regulatory factors of metabolic disorders such as type 2 diabetes mellitus, obesity, nonalcoholic fatty liver disease, and atherosclerosis. This review provides a comprehensive overview of the latest evidence linking TRIMs to the regulation of insulin resistance and its related disorders, their roles in regulating multiple signalling pathways or cellular processes, such as insulin signalling pathways, peroxisome proliferator-activated receptor signalling pathways, glucose and lipid metabolism, the inflammatory response, and cell cycle control, as well as recent advances in the development of TRIM-targeted drugs.
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Affiliation(s)
- Jianrong Chen
- Department of Endocrinology and Metabolism, First Affiliated Hospital of Nanchang University, Nanchang, China
- Jiangxi Clinical Research Centre for Endocrine and Metabolic disease, Nanchang, China
- Jiangxi Branch of National Clinical Research Centre for Metabolic disease, Nanchang, China
| | - Xianjie Feng
- Evidence-based Medicine Research Centre, Jiangxi University of Chinese Medicine, Nanchang, China
| | - Xu Zhou
- Evidence-based Medicine Research Centre, Jiangxi University of Chinese Medicine, Nanchang, China
| | - Yong Li
- Department of Anaesthesiology, Medical Centre of Anaesthesiology and Pain, First Affiliated Hospital of Nanchang University, Nanchang, China
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Ma J, Chen X, Xue R, Wang F, Dong J, Tao N, Qin Z. Cinnamaldehyde inhibits cytokine storms induced by the ORF3a protein of SARS-CoV-2 via ROS-elimination in activated T cells. Phytother Res 2023; 37:6006-6020. [PMID: 37726983 DOI: 10.1002/ptr.8016] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Revised: 08/04/2023] [Accepted: 09/03/2023] [Indexed: 09/21/2023]
Abstract
Cytokine storms are the cause of complications in patients with severe COVID-19, and it becomes the target of therapy. Several natural compounds were selected to screen the inhibitory effect on T-cell proliferation by Fluorescence-Activated Cell Sorting (FACS) and cytokine production by enzyme-linked immunosorbent assay (ELISA). Open reading frame 3a (ORF3a) of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) stimulates the specific T-cell activation model in vivo and in vitro. The coculture system included the macrophage cell line RAW264.7 and splenocytes. Reactive oxygen species (ROS) levels and glycolysis in T cells were evaluated. Cinnamaldehyde effectively inhibits cytokine storms both in vitro and in vivo. It decreased inflammatory cytokine (such as IFN-γ, TNF-α, IL-6, and IL-2) production by murine peripheral blood cells upon direct stimulation with ConA, after immunization with the MHV-A59 virus or ORF3a peptide from SARS-CoV-2. Cinnamaldehyde restored the percentage of T cells, which was originally decreased in the peripheral blood and splenocytes of ORF3a-immunized mice. In a coculture system, cinnamaldehyde reduced the secretion of inflammatory cytokines from macrophages in a T-cell dependent manner. Furthermore, cinnamaldehyde decreased the ROS level in activated T cells, which in turn reduced glycolysis and the activation of T cells. Cinnamaldehyde can be used as a candidate molecule for COVID-19.
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Affiliation(s)
- Jing Ma
- Medical Research Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Key Laboratory of Protein and Peptide Pharmaceuticals, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Xu Chen
- Key Laboratory of Protein and Peptide Pharmaceuticals, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
| | - Rui Xue
- Medical Research Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Fei Wang
- Medical Research Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Jun Dong
- Cell Biology, Deutsches Rheuma-Forschungszentrum Berlin (DRFZ), an Institute of the Leibniz Association, Berlin, Germany
| | - Ning Tao
- Key Laboratory of Protein and Peptide Pharmaceuticals, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
| | - Zhihai Qin
- Medical Research Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Key Laboratory of Protein and Peptide Pharmaceuticals, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
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Yu Y, Xia Q, Zhan G, Gao S, Han T, Mao M, Li X, Wang Y. TRIM67 alleviates cerebral ischemia‒reperfusion injury by protecting neurons and inhibiting neuroinflammation via targeting IκBα for K63-linked polyubiquitination. Cell Biosci 2023; 13:99. [PMID: 37248543 DOI: 10.1186/s13578-023-01056-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Accepted: 05/22/2023] [Indexed: 05/31/2023] Open
Abstract
BACKGROUND Excessive and unresolved neuroinflammation plays an important role in the pathophysiology of many neurological disorders, such as ischemic stroke, yet there are no effective treatments. Tripartite motif-containing 67 (TRIM67) plays a crucial role in the control of inflammatory disease and pathogen infection-induced inflammation; however, the role of TRIM67 in cerebral ischemia‒reperfusion injury remains poorly understood. RESULTS In the present study, we demonstrated that the expression level of TRIM67 was significantly reduced in middle cerebral artery occlusion and reperfusion (MCAO/R) mice and primary cultured microglia subjected to oxygen-glucose deprivation and reperfusion. Furthermore, a significant reduction in infarct size and neurological deficits was observed in mice after TRIM67 upregulation. Interestingly, TRIM67 upregulation alleviated neuroinflammation and cell death after cerebral ischemia‒reperfusion injury in MCAO/R mice. A mechanistic study showed that TRIM67 bound to IκBα, reduced K48-linked ubiquitination and increased K63-linked ubiquitination, thereby inhibiting its degradation and promoting the stability of IκBα, ultimately inhibiting NF-κB activity after cerebral ischemia. CONCLUSION Taken together, this study demonstrated a previously unidentified mechanism whereby TRIM67 regulates neuroinflammation and neuronal apoptosis and strongly indicates that upregulation of TRIM67 may provide therapeutic benefits for ischemic stroke.
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Affiliation(s)
- Yongbo Yu
- Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan, 030032, China
| | - Qian Xia
- Department of Anesthesiology, Hubei Key Laboratory of Geriatric Anesthesia and Perioperative Brain Health, and Wuhan Clinical Research Center for Geriatric Anesthesia, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Gaofeng Zhan
- Department of Anesthesiology, Hubei Key Laboratory of Geriatric Anesthesia and Perioperative Brain Health, and Wuhan Clinical Research Center for Geriatric Anesthesia, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Shuai Gao
- Department of Neurosurgery, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, 030032, China
| | - Tangrui Han
- Department of Neurosurgery, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, 030032, China
| | - Meng Mao
- Department of Anesthesiology and Perioperative Medicine, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou, 450007, China
| | - Xing Li
- Department of Anesthesiology, Hubei Key Laboratory of Geriatric Anesthesia and Perioperative Brain Health, and Wuhan Clinical Research Center for Geriatric Anesthesia, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
| | - Yonghong Wang
- Department of Neurosurgery, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, 030032, China.
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Chatterjee A, Walters R, Shafi Z, Ahmed OS, Sebek M, Gysi D, Yu R, Eliassi-Rad T, Barabási AL, Menichetti G. Improving the generalizability of protein-ligand binding predictions with AI-Bind. Nat Commun 2023; 14:1989. [PMID: 37031187 PMCID: PMC10082765 DOI: 10.1038/s41467-023-37572-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Accepted: 03/23/2023] [Indexed: 04/10/2023] Open
Abstract
Identifying novel drug-target interactions is a critical and rate-limiting step in drug discovery. While deep learning models have been proposed to accelerate the identification process, here we show that state-of-the-art models fail to generalize to novel (i.e., never-before-seen) structures. We unveil the mechanisms responsible for this shortcoming, demonstrating how models rely on shortcuts that leverage the topology of the protein-ligand bipartite network, rather than learning the node features. Here we introduce AI-Bind, a pipeline that combines network-based sampling strategies with unsupervised pre-training to improve binding predictions for novel proteins and ligands. We validate AI-Bind predictions via docking simulations and comparison with recent experimental evidence, and step up the process of interpreting machine learning prediction of protein-ligand binding by identifying potential active binding sites on the amino acid sequence. AI-Bind is a high-throughput approach to identify drug-target combinations with the potential of becoming a powerful tool in drug discovery.
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Affiliation(s)
- Ayan Chatterjee
- Network Science Institute, Northeastern University, Boston, MA, USA
| | - Robin Walters
- Khoury College of Computer Sciences, Northeastern University, Boston, MA, USA
| | - Zohair Shafi
- Khoury College of Computer Sciences, Northeastern University, Boston, MA, USA
| | - Omair Shafi Ahmed
- Khoury College of Computer Sciences, Northeastern University, Boston, MA, USA
| | - Michael Sebek
- Network Science Institute, Northeastern University, Boston, MA, USA
- Department of Physics, Northeastern University, Boston, MA, USA
| | - Deisy Gysi
- Network Science Institute, Northeastern University, Boston, MA, USA
- Department of Physics, Northeastern University, Boston, MA, USA
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Rose Yu
- Department of Computer Science and Engineering, University of California, San Diego, CA, USA
| | - Tina Eliassi-Rad
- Network Science Institute, Northeastern University, Boston, MA, USA
- Khoury College of Computer Sciences, Northeastern University, Boston, MA, USA
- Santa Fe Institute, Santa Fe, NM, USA
- The Institute for Experiential AI, Northeastern University, Boston, MA, USA
| | - Albert-László Barabási
- Network Science Institute, Northeastern University, Boston, MA, USA
- Department of Physics, Northeastern University, Boston, MA, USA
- Department of Network and Data Science, Central European University, Budapest, Hungary
| | - Giulia Menichetti
- Network Science Institute, Northeastern University, Boston, MA, USA.
- Department of Physics, Northeastern University, Boston, MA, USA.
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
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Taylor L, Von Lendenfeld F, Ashton A, Sanghani H, Di Pretoro S, Usselmann L, Veretennikova M, Dallmann R, McKeating JA, Vasudevan S, Jagannath A. Sleep and circadian rhythm disruption alters the lung transcriptome to predispose to viral infection. iScience 2023; 26:105877. [PMID: 36590897 PMCID: PMC9788990 DOI: 10.1016/j.isci.2022.105877] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Revised: 10/11/2022] [Accepted: 12/21/2022] [Indexed: 12/26/2022] Open
Abstract
Sleep and circadian rhythm disruption (SCRD), as encountered during shift work, increases the risk of respiratory viral infection including SARS-CoV-2. However, the mechanism(s) underpinning higher rates of respiratory viral infection following SCRD remain poorly characterized. To address this, we investigated the effects of acute sleep deprivation on the mouse lung transcriptome. Here we show that sleep deprivation profoundly alters the transcriptional landscape of the lung, causing the suppression of both innate and adaptive immune systems, disrupting the circadian clock, and activating genes implicated in SARS-CoV-2 replication, thereby generating a lung environment that could promote viral infection and associated disease pathogenesis. Our study provides a mechanistic explanation of how SCRD increases the risk of respiratory viral infections including SARS-CoV-2 and highlights possible therapeutic avenues for the prevention and treatment of respiratory viral infection.
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Affiliation(s)
- Lewis Taylor
- Sleep and Circadian Neuroscience Institute (SCNi), Nuffield Department of Clinical Neurosciences, New Biochemistry Building, University of Oxford, South Parks Road, Oxford OX1 3QU, UK
| | - Felix Von Lendenfeld
- Sleep and Circadian Neuroscience Institute (SCNi), Nuffield Department of Clinical Neurosciences, New Biochemistry Building, University of Oxford, South Parks Road, Oxford OX1 3QU, UK
| | - Anna Ashton
- Sleep and Circadian Neuroscience Institute (SCNi), Nuffield Department of Clinical Neurosciences, New Biochemistry Building, University of Oxford, South Parks Road, Oxford OX1 3QU, UK
| | - Harshmeena Sanghani
- Department of Pharmacology, University of Oxford, Mansfield Road, Oxford OX1 3QT, UK
| | - Simona Di Pretoro
- Sleep and Circadian Neuroscience Institute (SCNi), Nuffield Department of Clinical Neurosciences, New Biochemistry Building, University of Oxford, South Parks Road, Oxford OX1 3QU, UK
| | - Laura Usselmann
- Division of Biomedical Sciences, Warwick Medical School, Interdisciplinary Biomedical Research Building, Gibbet Hill Campus, University of Warwick, Coventry CV4 7AL, UK
| | - Maria Veretennikova
- Zeeman Institute for Systems Biology & Infectious Disease Epidemiology Research, Department of Mathematics, Mathematical Sciences Building, University of Warwick, Coventry CV4 7AL, UK
| | - Robert Dallmann
- Division of Biomedical Sciences, Warwick Medical School, Interdisciplinary Biomedical Research Building, Gibbet Hill Campus, University of Warwick, Coventry CV4 7AL, UK
| | - Jane A. McKeating
- Nuffield Department of Medicine, University of Oxford, Old Road Campus, Oxford OX3 7BN, UK
- Chinese Academy of Medical Sciences (CAMS) Oxford Institute (COI), University of Oxford, Old Road Campus, Oxford OX3 7BN, UK
| | - Sridhar Vasudevan
- Department of Pharmacology, University of Oxford, Mansfield Road, Oxford OX1 3QT, UK
| | - Aarti Jagannath
- Sleep and Circadian Neuroscience Institute (SCNi), Nuffield Department of Clinical Neurosciences, New Biochemistry Building, University of Oxford, South Parks Road, Oxford OX1 3QU, UK
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Chasapis CT, Perlepes SP, Bjørklund G, Peana M. Structural modeling of protein ensembles between E3 RING ligases and SARS-CoV-2: The role of zinc binding domains. J Trace Elem Med Biol 2023; 75:127089. [PMID: 36209710 PMCID: PMC9531365 DOI: 10.1016/j.jtemb.2022.127089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Revised: 08/13/2022] [Accepted: 09/28/2022] [Indexed: 12/13/2022]
Abstract
BACKGROUND The ubiquitin system is a modification process with many different cellular functions including immune signaling and antiviral functions. E3 ubiquitin ligases are enzymes that recruit an E2 ubiquitin-conjugating enzyme bound to ubiquitin in order to catalyze the transfer of ubiquitin from the E2 to a protein substrate. The RING E3s, the most abundant type of ubiquitin ligases, are characterized by a zinc (II)-binding domain called RING (Really Interesting New Gene). Viral replication requires modifying and hijacking key cellular pathways within host cells such as cellular ubiquitination. There are well-established examples where a viral proteins bind to RING E3s, redirecting them to degrade otherwise long-lived host proteins or inhibiting E3's ubiquitination activity. Recently, three binary interactions between SARS-CoV-2 proteins and innate human immune signaling Ε3 RING ligases: NSP15-RNF41, ORF3a-TRIM59 and NSP9-MIB1 have been experimentally established. METHODS In this work, we have investigated the mode of the previous experimentally supported NSP15-RNF41, ORF3a,-TRIM59 and NSP9-MIB1 binary interactions by in silico methodologies intending to provide structural insights of E3-virus interplay that can help identify potential inhibitors that could block SARS-CoV-2 infection of immune cells. CONCLUSION In silico methodologies have shown that the above human E3 ligases interact with viral partners through their Zn(II) binding domains. This RING mediated formation of stable SARS-CoV-2-E3 complexes indicates a critical structural role of RING domains in immune system disruption by SARS-CoV-2-infection. DATA AVAILABILITY The data used to support the findings of this research are included within the article and are labeled with references.
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Affiliation(s)
- Christos T Chasapis
- Institute of Chemical Biology, National Hellenic Research Foundation, 11635 Athens, Greece.
| | | | - Geir Bjørklund
- Council for Nutritional and Environmental Medicine (CONEM), Mo i Rana, Norway
| | - Massimiliano Peana
- Department of Chemical, Physical, Mathematical and Natural Sciences, University of Sassari, Italy.
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Qi Z, Pi X, Xu Y, Zhang Q, Wangkahart E, Meng F, Wang Z. Molecular characterization of the evolutionary conserved signaling intermediate in Toll pathways (ECSIT) of soiny mullet (Liza haematocheila). FISH & SHELLFISH IMMUNOLOGY 2022; 130:79-85. [PMID: 36087818 DOI: 10.1016/j.fsi.2022.09.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Revised: 09/02/2022] [Accepted: 09/02/2022] [Indexed: 06/15/2023]
Abstract
Mammalian evolutionary conserved signaling intermediate in Toll pathways (ECSIT) is an important intracellular protein that involves in innate immunity, embryogenesis, and assembly or stability of the mitochondrial complex I. In the present study, the ECSIT was characterized in soiny mullet (Liza haematocheila). The full-length cDNA of mullet ECSIT was 1860 bp, encoding 449 amino acids. Mullet ECSIT shared 60.4%∼78.2% sequence identities with its teleost counterparts. Two conserved protein domains, ECSIT domain and C-terminal domain, were found in mullet ECSIT. Realtime qPCR analysis revealed that mullet ECSIT was distributed in all examined tissues with high expressions in spleen, head kidney (HK) and gill. Further analysis showed that mullet ECSIT in spleen was up-regulated from 6 h to 48 h after Streptococcus dysgalactiae infection. In addition, the co-immunoprecipitation (co-IP) assay confirmed that mullet ECSIT could interact with tumor necrosis factor receptor-associated factor 6 (TRAF6). Molecular docking revealed that the polar interaction and hydrophobic interaction play crucial roles in the forming of ECSIT-TRAF6 complex. The resides of mullet ECSIT that involved in the interaction between ECSIT and TRAF6 were Arg107, Glu113, Phe114, Glu124, Lys120 and Lys121, which mainly located in the ECSIT domain. Our results demonstrated that mullet ECSIT involved in the immune defense against bacterial and regulation of TLRs signaling pathway by interaction with TRAF6. To the best of our knowledge, this is the first report on ECSIT of soiny mullet, which deepen the understanding of ECSIT and its functions in the immune response of teleosts.
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Affiliation(s)
- Zhitao Qi
- Jiangsu Key Laboratory of Biochemistry and Biotechnology of Marine Wetland, Yancheng Institute of Technology, Yancheng, China.
| | - Xiangyu Pi
- Jiangsu Key Laboratory of Biochemistry and Biotechnology of Marine Wetland, Yancheng Institute of Technology, Yancheng, China
| | - Yang Xu
- Jiangsu Key Laboratory of Biochemistry and Biotechnology of Marine Wetland, Yancheng Institute of Technology, Yancheng, China
| | - Qihuan Zhang
- Jiangsu Key Laboratory of Biochemistry and Biotechnology of Marine Wetland, Yancheng Institute of Technology, Yancheng, China
| | - Eakapol Wangkahart
- Laboratory of Fish Immunology and Nutrigenomics, Applied Animal and Aquatic Sciences Research Unit, Division of Fisheries, Faculty of Technology, Mahasarakham University, Maha Sarakham, Thailand
| | - Fancui Meng
- Tianjin Institute of Pharmaceutical Research, Tianjin, 300193, China
| | - Zisheng Wang
- Jiangsu Key Laboratory of Biochemistry and Biotechnology of Marine Wetland, Yancheng Institute of Technology, Yancheng, China
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Niu Y, Fu X, Lin Q, Liang H, Luo X, Zuo S, Liu L, Li N. The composition and antiviral activity of scTRIM59 in Mandarin fish. FISH & SHELLFISH IMMUNOLOGY 2022; 130:86-92. [PMID: 36055555 DOI: 10.1016/j.fsi.2022.08.068] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Revised: 08/12/2022] [Accepted: 08/23/2022] [Indexed: 06/15/2023]
Abstract
The tripartite motif (TRIM) proteins play critical roles in viral infection by modulating innate immunity. However, the molecular and antiviral activity of TRIM59 in mandrain fish is not fully understood. In present study, we cloned and sequenced the TRIM59 core sequence and explored its characteristics in Mandarin fish. The Siniperca chuatsi TRIM59 (scTRIM59) showed relatively high expression in immune-related organs. scTRIM59 expression was significantly down-regulated post ISKNV infection in vivo and vitro, but up-regulated at the early stages of SCRV infection in CPB cells. The overexpression of scTRIM59 inhibited ISKNV and SCRV infection, but decreased the expression of IRF3/IRF7-mediated signal genes. However, knockdown of scTRIM59 promoted the ISKNV and SCRV infection, but increased the expression of IRF3/IRF7-mediated signal genes. Those results indicated that scTRIM59 negatively regulated ISKNV, SCRV infection and IRF3/IRF7-mediated signal genes. This study provided new ideas about the function of scTRIM59.
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Affiliation(s)
- Yinjie Niu
- Pearl River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Key Laboratory of Fishery Drug Development, Ministry of Agriculture and Rural Affairs, Guangdong Provincial Key Laboratory of Aquatic Animal Immunology and Sustainable Aquaculture, Guangzhou, 510380, China
| | - Xiaozhe Fu
- Pearl River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Key Laboratory of Fishery Drug Development, Ministry of Agriculture and Rural Affairs, Guangdong Provincial Key Laboratory of Aquatic Animal Immunology and Sustainable Aquaculture, Guangzhou, 510380, China
| | - Qiang Lin
- Pearl River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Key Laboratory of Fishery Drug Development, Ministry of Agriculture and Rural Affairs, Guangdong Provincial Key Laboratory of Aquatic Animal Immunology and Sustainable Aquaculture, Guangzhou, 510380, China
| | - Hongru Liang
- Pearl River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Key Laboratory of Fishery Drug Development, Ministry of Agriculture and Rural Affairs, Guangdong Provincial Key Laboratory of Aquatic Animal Immunology and Sustainable Aquaculture, Guangzhou, 510380, China
| | - Xia Luo
- Pearl River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Key Laboratory of Fishery Drug Development, Ministry of Agriculture and Rural Affairs, Guangdong Provincial Key Laboratory of Aquatic Animal Immunology and Sustainable Aquaculture, Guangzhou, 510380, China
| | - Shaozhi Zuo
- Pearl River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Key Laboratory of Fishery Drug Development, Ministry of Agriculture and Rural Affairs, Guangdong Provincial Key Laboratory of Aquatic Animal Immunology and Sustainable Aquaculture, Guangzhou, 510380, China
| | - Lihui Liu
- Pearl River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Key Laboratory of Fishery Drug Development, Ministry of Agriculture and Rural Affairs, Guangdong Provincial Key Laboratory of Aquatic Animal Immunology and Sustainable Aquaculture, Guangzhou, 510380, China
| | - Ningqiu Li
- Pearl River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Key Laboratory of Fishery Drug Development, Ministry of Agriculture and Rural Affairs, Guangdong Provincial Key Laboratory of Aquatic Animal Immunology and Sustainable Aquaculture, Guangzhou, 510380, China.
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Jin Z, Chen T, Zhu Z, Xu B, Yan D. The role of TRIM59 in immunity and immune-related diseases. Int Rev Immunol 2022; 43:33-40. [PMID: 35975813 DOI: 10.1080/08830185.2022.2102618] [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: 04/24/2022] [Accepted: 07/09/2022] [Indexed: 10/15/2022]
Abstract
TRIM59 is a member of the tripartite motif containing (TRIM) protein family. It functions as an E3 ubiquitin ligase through its RING domain and is expressed by multiple types of cells. Physiogically, TRIM59 is involved in development, immune response, and the invasion and metastasis of tumors. In this review, we first describe the structure, expression, and subcellular location of TRIM59. Then, we summarize emerging evidence for TRIM59 in immunological diseases including infection, vascular diseases, autoimmunity, and tumor immunity. Additionally, we discuss important molecular signaling pathways that mediate TRIM59 activity. Altogether, the accumulating evidence suggests that manipulating TRIM59 levels and activity may open an avenue for innovative therapies for immune diseases and tumors.
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Affiliation(s)
- Zheng Jin
- Department of Immunology, College of Basic Medical Sciences, Jilin University, Changchun City, Jilin Province, China
| | - Tiffany Chen
- Divison of Vascular Surgery, Department of Surgery, Stanford University School of Medicine, Stanford, CA
| | - Zhenhua Zhu
- Department of Orthopaedic Trauma, Center for Orthopaedic Surgery, The Third Affiliated Hospital of Southern Medical University, Guangzhou, Guangdong Province, China
| | - Baohui Xu
- Divison of Vascular Surgery, Department of Surgery, Stanford University School of Medicine, Stanford, CA
| | - Dongmei Yan
- Department of Immunology, College of Basic Medical Sciences, Jilin University, Changchun City, Jilin Province, China
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Chaitanya NSN, Tammineni P, Nagaraju GP, Reddy ABM. Pleiotropic roles of evolutionarily conserved signaling intermediate in toll pathway (ECSIT) in pathophysiology. J Cell Physiol 2022; 237:3496-3504. [DOI: 10.1002/jcp.30832] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Revised: 06/23/2022] [Accepted: 07/04/2022] [Indexed: 11/10/2022]
Affiliation(s)
- Nyshadham S. N. Chaitanya
- Department of Animal Biology, School of Life Sciences University of Hyderabad Hyderabad Telangana India
| | - Prasad Tammineni
- Department of Animal Biology, School of Life Sciences University of Hyderabad Hyderabad Telangana India
| | | | - Aramati BM Reddy
- Department of Animal Biology, School of Life Sciences University of Hyderabad Hyderabad Telangana India
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11
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Chen Y, Wu Y, Zhu L, Chen C, Xu S, Tang D, Jiao Y, Yu W. METTL3-Mediated N6-Methyladenosine Modification of Trim59 mRNA Protects Against Sepsis-Induced Acute Respiratory Distress Syndrome. Front Immunol 2022; 13:897487. [PMID: 35693774 PMCID: PMC9174697 DOI: 10.3389/fimmu.2022.897487] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Accepted: 04/28/2022] [Indexed: 12/22/2022] Open
Abstract
N6-methyladenosine (m6A) RNA modification is a fundamental determinant of mRNA metabolism in eukaryotic cells and is involved in numerous physiological and pathological processes. However, the specific role of m6A modification in sepsis-induced acute respiratory distress syndrome(ARDS) remains unknown. Here, we show that the levels of m6A RNA were significantly decreased in septic lungs and that METTL3 was the main regulator involved in the absence of m6A RNA modification. Pulmonary endothelial barrier damage is a critical process in the pathogenesis of acute lung injury during sepsis. METTL3 regulated endothelial barrier dysfunction and inflammatory responses in sepsis-induced ARDS in vivo and in vitro. Furthermore, we identified tripartite motif-containing (Trim)59 as a key m6A effector and Trim59 deficiency exacerbated lung injury. Mechanistically, METTL3 inhibited endothelial injury in sepsis-induced ARDS through Trim59-associated NF-κB inactivation. Our findings revealed novel insights into epitranscriptional mechanisms in sepsis-induced ARDS via m6A modifications, which has important application value in the diagnosis, prognosis, and molecular-targeted therapy of sepsis-associated lung injury.
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Affiliation(s)
- Yi Chen
- Department of Anesthesiology, Renji Hospital, Jiaotong University School of Medicine, Shanghai, China.,The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, China
| | - Yuling Wu
- Department of Anesthesiology, Renji Hospital, Jiaotong University School of Medicine, Shanghai, China
| | - Linjie Zhu
- Department of Anesthesiology, Renji Hospital, Jiaotong University School of Medicine, Shanghai, China
| | - Caiyang Chen
- Department of Anesthesiology, Renji Hospital, Jiaotong University School of Medicine, Shanghai, China
| | - Saihong Xu
- Department of Anesthesiology, Renji Hospital, Jiaotong University School of Medicine, Shanghai, China
| | - Dan Tang
- Department of Anesthesiology, Renji Hospital, Jiaotong University School of Medicine, Shanghai, China
| | - Yingfu Jiao
- Department of Anesthesiology, Renji Hospital, Jiaotong University School of Medicine, Shanghai, China
| | - Weifeng Yu
- Department of Anesthesiology, Renji Hospital, Jiaotong University School of Medicine, Shanghai, China
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12
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Fan W, Liu X, Zhang J, Qin L, Du J, Li X, Qian S, Chen H, Qian P. TRIM67 Suppresses TNFalpha-Triggered NF-kB Activation by Competitively Binding Beta-TrCP to IkBa. Front Immunol 2022; 13:793147. [PMID: 35273593 PMCID: PMC8901487 DOI: 10.3389/fimmu.2022.793147] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Accepted: 01/31/2022] [Indexed: 12/22/2022] Open
Abstract
The transcription factor NF-κB plays an important role in modulation of inflammatory pathways, which are associated with inflammatory diseases, neurodegeneration, apoptosis, immune responses, and cancer. Increasing evidence indicates that TRIM proteins are crucial role in the regulation of NF-κB signaling pathways. In this study, we identified TRIM67 as a negative regulator of TNFα-triggered NF-κB activation. Ectopic expression of TRIM67 significantly represses TNFα-induced NF-κB activation and the expression of pro-inflammatory cytokines TNFα and IL-6. In contrast, Trim67 depletion promotes TNFα-induced expression of TNFα, IL-6, and Mcp-1 in primary mouse embryonic fibroblasts. Mechanistically, we found that TRIM67 competitively binding β-transducin repeat-containing protein (β-TrCP) to IκBα results inhibition of β-TrCP-mediated degradation of IκBα, which finally caused inhibition of TNFα-triggered NF-κB activation. In summary, our findings revealed that TRIM67 function as a novel negative regulator of NF-κB signaling pathway, implying TRIM67 might exert an important role in regulation of inflammation disease and pathogen infection caused inflammation.
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Affiliation(s)
- Wenchun Fan
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China.,Division of Animal Infectious Diseases, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
| | - Xueyan Liu
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China.,Division of Animal Infectious Diseases, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
| | - Jinyan Zhang
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China.,Division of Animal Infectious Diseases, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
| | - Liuxing Qin
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China.,Division of Animal Infectious Diseases, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
| | - Jian Du
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China.,Division of Animal Infectious Diseases, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
| | - Xiangmin Li
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China.,Division of Animal Infectious Diseases, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China.,The Cooperative Innovation Center for Sustainable Pig Production, Huazhong Agricultural University, Wuhan, China
| | - Suhong Qian
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China.,Division of Animal Infectious Diseases, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
| | - Huanchun Chen
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China.,Division of Animal Infectious Diseases, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China.,The Cooperative Innovation Center for Sustainable Pig Production, Huazhong Agricultural University, Wuhan, China
| | - Ping Qian
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China.,Division of Animal Infectious Diseases, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China.,The Cooperative Innovation Center for Sustainable Pig Production, Huazhong Agricultural University, Wuhan, China
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13
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Cai C, Tang YD, Zheng C. When RING Finger Family Proteins meet SARS-CoV-2. J Med Virol 2022; 94:2977-2985. [PMID: 35257387 DOI: 10.1002/jmv.27701] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Revised: 02/23/2022] [Accepted: 03/03/2022] [Indexed: 10/18/2022]
Abstract
The pandemic coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is currently the most formidable challenge to humans. Understanding the complicated virus-host interplay is crucial for fighting against viral infection. A growing number of studies point to the critical roles of RING (really interesting new gene) finger (RNF) proteins during SARS-CoV-2 infection. RNF proteins exert direct antiviral activity by targeting genome and envelope glycoproteins of SARS-CoV-2. Additionally, some RNF members serve as potent regulators for antiviral innate immunity and antibody-dependent neutralization of SARS-CoV-2. Notably, SARS-CoV-2 also hijacks the RNF proteins-mediated ubiquitination process to evade host antiviral innate immunity and enhance viral replication. In this mini-review, we discuss the diverse antiviral mechanisms of RNF proteins and viral immune evasion in an RNF proteins-dependent manner. Understanding the crosstalk between RNF proteins and SARS-CoV-2 infection would help design potential novel targets for COVID-19 treatment. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Chunmei Cai
- Research Center for High Altitude Medicine, School of Medical, Qinghai University, Xining, China.,Key Laboratory of Application and Foundation for High Altitude Medicine Research in Qinghai Province, Qinghai University, Xining, China
| | - Yan-Dong Tang
- Department of Immunology, School of Basic Medical Sciences, Fujian Medical University, Fuzhou, China.,State Key Laboratory of Veterinary Biotechnology, Harbin Veterinary Research Institute of Chinese Academy of Agricultural Sciences, Harbin, China
| | - Chunfu Zheng
- Department of Immunology, School of Basic Medical Sciences, Fujian Medical University, Fuzhou, China.,Department of Microbiology, Immunology and Infectious Diseases, University of Calgary, Calgary, Alberta, Canada
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14
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Chaudhary JK, Yadav R, Chaudhary PK, Maurya A, Roshan R, Azam F, Mehta J, Handu S, Prasad R, Jain N, Pandey AK, Dhamija P. Host Cell and SARS-CoV-2-Associated Molecular Structures and Factors as Potential Therapeutic Targets. Cells 2021; 10:cells10092427. [PMID: 34572076 PMCID: PMC8467010 DOI: 10.3390/cells10092427] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Revised: 08/28/2021] [Accepted: 08/31/2021] [Indexed: 02/07/2023] Open
Abstract
Coronavirus disease 19 (COVID-19) is caused by an enveloped, positive-sense, single-stranded RNA virus, referred to as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which belongs to the realm Riboviria, order Nidovirales, family Coronaviridae, genus Betacoronavirus and the species Severe acute respiratory syndrome-related coronavirus. This viral disease is characterized by a myriad of varying symptoms, such as pyrexia, cough, hemoptysis, dyspnoea, diarrhea, muscle soreness, dysosmia, lymphopenia and dysgeusia amongst others. The virus mainly infects humans, various other mammals, avian species and some other companion livestock. SARS-CoV-2 cellular entry is primarily accomplished by molecular interaction between the virus’s spike (S) protein and the host cell surface receptor, angiotensin-converting enzyme 2 (ACE2), although other host cell-associated receptors/factors, such as neuropilin 1 (NRP-1) and neuropilin 2 (NRP-2), C-type lectin receptors (CLRs), as well as proteases such as TMPRSS2 (transmembrane serine protease 2) and furin, might also play a crucial role in infection, tropism, pathogenesis and clinical outcome. Furthermore, several structural and non-structural proteins of the virus themselves are very critical in determining the clinical outcome following infection. Considering such critical role(s) of the abovementioned host cell receptors, associated proteases/factors and virus structural/non-structural proteins (NSPs), it may be quite prudent to therapeutically target them through a multipronged clinical regimen to combat the disease.
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Affiliation(s)
- Jitendra Kumar Chaudhary
- Department of Zoology, Shivaji College, University of Delhi, New Delhi 110027, India; (J.K.C.); (R.R.)
| | - Rohitash Yadav
- Department of Pharmacology, All India Institute of Medical Sciences (AIIMS), Rishikesh 249201, India;
- Correspondence: (R.Y.); (P.D.)
| | - Pankaj Kumar Chaudhary
- Molecular Biology & Proteomics Laboratory, Department of Biotechnology, Indian Institute of Technology (IIT), Roorkee 247667, India; (P.K.C.); (R.P.)
| | - Anurag Maurya
- Department of Botany, Shivaji College, University of Delhi, New Delhi 110027, India;
| | - Rakesh Roshan
- Department of Zoology, Shivaji College, University of Delhi, New Delhi 110027, India; (J.K.C.); (R.R.)
| | - Faizul Azam
- Department of Pharmaceutical Chemistry and Pharmacognosy, Unaizah College of Pharmacy, Qassim University, Unaizah 51911, Saudi Arabia;
| | - Jyoti Mehta
- Department of Physiology, Maharishi Markandeshwar Medical College and Hospital, Solan 173229, India;
| | - Shailendra Handu
- Department of Pharmacology, All India Institute of Medical Sciences (AIIMS), Rishikesh 249201, India;
| | - Ramasare Prasad
- Molecular Biology & Proteomics Laboratory, Department of Biotechnology, Indian Institute of Technology (IIT), Roorkee 247667, India; (P.K.C.); (R.P.)
| | - Neeraj Jain
- Department of Cancer Biology, CSIR-Central Drug Research Institute, Lucknow 226031, India;
| | - Avaneesh Kumar Pandey
- Department of Pharmacology, Postgraduate Institute of Medical Education and Research, Chandigarh 160012, India;
| | - Puneet Dhamija
- Department of Pharmacology, All India Institute of Medical Sciences (AIIMS), Rishikesh 249201, India;
- Correspondence: (R.Y.); (P.D.)
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15
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Dubey AR, Jagtap YA, Kumar P, Patwa SM, Kinger S, Kumar A, Singh S, Prasad A, Jana NR, Mishra A. Biochemical strategies of E3 ubiquitin ligases target viruses in critical diseases. J Cell Biochem 2021; 123:161-182. [PMID: 34520596 DOI: 10.1002/jcb.30143] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2021] [Revised: 07/23/2021] [Accepted: 08/24/2021] [Indexed: 12/15/2022]
Abstract
Viruses are known to cause various diseases in human and also infect other species such as animal plants, fungi, and bacteria. Replication of viruses depends upon their interaction with hosts. Human cells are prone to such unwanted viral infections. Disintegration and reconstitution require host machinery and various macromolecules like DNA, RNA, and proteins are invaded by viral particles. E3 ubiquitin ligases are known for their specific function, that is, recognition of their respective substrates for intracellular degradation. Still, we do not understand how ubiquitin proteasome system-based enzymes E3 ubiquitin ligases do their functional interaction with different viruses. Whether E3 ubiquitin ligases help in the elimination of viral components or viruses utilize their molecular capabilities in their intracellular propagation is not clear. The first time our current article comprehends fundamental concepts and new insights on the different viruses and their interaction with various E3 Ubiquitin Ligases. In this review, we highlight the molecular pathomechanism of viruses linked with E3 Ubiquitin Ligases dependent mechanisms. An enhanced understanding of E3 Ubiquitin Ligase-mediated removal of viral proteins may open new therapeutic strategies against viral infections.
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Affiliation(s)
- Ankur R Dubey
- Department of Bioscience and Bioengineering, Cellular and Molecular Neurobiology Unit, Indian Institute of Technology Jodhpur, Jodhpur, Rajasthan, India
| | - Yuvraj A Jagtap
- Department of Bioscience and Bioengineering, Cellular and Molecular Neurobiology Unit, Indian Institute of Technology Jodhpur, Jodhpur, Rajasthan, India
| | - Prashant Kumar
- Department of Bioscience and Bioengineering, Cellular and Molecular Neurobiology Unit, Indian Institute of Technology Jodhpur, Jodhpur, Rajasthan, India
| | - Som M Patwa
- Department of Bioscience and Bioengineering, Cellular and Molecular Neurobiology Unit, Indian Institute of Technology Jodhpur, Jodhpur, Rajasthan, India
| | - Sumit Kinger
- Department of Bioscience and Bioengineering, Cellular and Molecular Neurobiology Unit, Indian Institute of Technology Jodhpur, Jodhpur, Rajasthan, India
| | - Amit Kumar
- Department of Biosciences and Biomedical Engineering, Indian Institute of Technology Indore, Indore, India
| | - Sarika Singh
- Department of Neuroscience and Ageing Biology, Division of Toxicology and Experimental Medicine, CSIR-Central Drug Research Institute, Lucknow, Uttar Pradesh, India
| | - Amit Prasad
- School of Basic Sciences, Indian Institute of Technology Mandi, Mandi, India
| | - Nihar R Jana
- School of Bioscience, Indian Institute of Technology Kharagpur, Kharagpur, India
| | - Amit Mishra
- Department of Bioscience and Bioengineering, Cellular and Molecular Neurobiology Unit, Indian Institute of Technology Jodhpur, Jodhpur, Rajasthan, India
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16
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Guo J, Min K, Deng L. Potential value of tripartite motif-containing 59 as a biomarker for predicting the prognosis of patients with lung cancer: A protocol for systematic review and meta-analysis. Medicine (Baltimore) 2021; 100:e26868. [PMID: 34397900 PMCID: PMC8360424 DOI: 10.1097/md.0000000000026868] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Accepted: 07/22/2021] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND In recent years, related studies have revealed that tripartite motif-containing 59 (TRIM59) is related to the prognosis of lung cancer. However, these results have not been proved by any evidence. Therefore, this study evaluated the relationship between TRIM59 and the prognosis of lung cancer by carrying out meta-analysis. In addition, we explored the mechanism and related pathways of TRIM59 in lung cancer through bioinformatics analysis. METHODS Comprehensive literature search was performed in China National Knowledge Infrastructure, Chinese Biomedical literature Database, Chinese Scientific and Journal Database, Wan Fang, Web of Science, PubMed, and EMBASE databases, and eligible studies were obtained based on the inclusion and exclusion criteria. The pooled hazard ratios and odds ratios were applied to assess the clinical value of TRIM59 expression for overall survival and clinicopathological features. Meanwhile, meta-analysis was conducted on the Stata 16.0. The mRNA expression level of TRIM59 in lung cancer was analyzed using Oncomine and Gene Expression Profiling Interactive Analysis (GEPIA) database. Gene Set Enrichment Analysis (GSEA) was used to predict the signaling pathways that TRIM59 might be involved in. The correlation between the expression level of TRIM59 in lung cancer and the abundance of immune cell invasion was analyzed by TIMER database. The survival analysis was verified by Kaplan-Meier Plotter database. RESULTS The results of this meta-analysis would be submitted to peer-reviewed journals for publication. CONCLUSION In this study, the application of meta-analysis and bioinformatics analysis will provide evidence support for the study on the prognosis and mechanism of TRIM59 in lung cancer.
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Affiliation(s)
- Jianfei Guo
- Department of Thoracic Surgery, Xingtai People's Hospital of Hebei Medical University, Xingtai, Hebei Province, China
| | - Ke Min
- Department of Cardiothoracic Surgery, Jiujiang First People's Hospital, Jiujiang, Jiangxi Province, China
| | - Lichun Deng
- Department of Oncology, Jiangyin People's Hospital, Jiangyin, Jiangsu Province, China
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17
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Jin Z, Zhu Z, Zhang W, Liu L, Tang M, Li D, Yan D, Zhu X. Effects of TRIM59 on RAW264.7 macrophage gene expression and function. Immunobiology 2021; 226:152109. [PMID: 34252840 DOI: 10.1016/j.imbio.2021.152109] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2020] [Revised: 05/12/2021] [Accepted: 06/22/2021] [Indexed: 12/24/2022]
Abstract
Macrophages have a variety of functions, such as secreting cytokines, phagocytosis, et al. Tripartite motif containing 59 (TRIM59) protein is highly expressed in tumor cells. It can regulate proliferation of tumor cells and promote tumor progression. Recent studies shown that the expression of TRIM59 was different in macrophages when stimulated by different stimuli, however, the effects of TRIM59 on macrophage gene expression profiles and functions are still unknown. In our study, we constructed RAW264.7 macrophages with high and low expression of TRIM59, and used next generation sequencing to explore the effects of TRIM59 on macrophage gene expression profiles. Results showed that TRIM59 affected an abundant number of genes, and may affect phagocytosis and cell cycles. We also examined the expression of surface molecules, secretion of cytokines, phagocytosis, proliferation, and apoptosis of macrophages, and confirmed that TRIM59 increased the expression of FcγRs CD16/32, CD64 and the secretion of TNF-α and IL-10, promoted phagocytosis and proliferation of RAW264.7 cells, inhibited the expression of complement receptor CD11b and antigen presentation related receptors (MHCII, CD80), but TRIM59 had no significant effect on apoptosis. Our study explored the effect of TRIM59 on the gene expression and function of macrophages comprehensively.
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Affiliation(s)
- Zheng Jin
- Department of Immunology, College of Basic Medical Sciences, Jilin University, Changchun, Jilin Province, China
| | - Zhenhua Zhu
- Department of Orthopaedic Trauma, Center for Orthopaedic Surgery, The Third Affiliated Hospital of Southern Medical University, West of Zhongshan Avenue 183#, Guangzhou, Guangdong Province, China
| | - Wenxin Zhang
- Department of Pathogenobiology, College of Basic Medical Sciences, Jilin University, Changchun, Jilin Province, China
| | - Liping Liu
- Department of Immunology, College of Basic Medical Sciences, Jilin University, Changchun, Jilin Province, China
| | - Mengyan Tang
- Department of Immunology, College of Basic Medical Sciences, Jilin University, Changchun, Jilin Province, China
| | - Dong Li
- Department of Immunology, College of Basic Medical Sciences, Jilin University, Changchun, Jilin Province, China
| | - Dongmei Yan
- Department of Immunology, College of Basic Medical Sciences, Jilin University, Changchun, Jilin Province, China.
| | - Xun Zhu
- Department of Immunology, College of Basic Medical Sciences, Jilin University, Changchun, Jilin Province, China.
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18
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Jin Z, Zhu Z. The role of TRIM proteins in PRR signaling pathways and immune-related diseases. Int Immunopharmacol 2021; 98:107813. [PMID: 34126340 DOI: 10.1016/j.intimp.2021.107813] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2021] [Revised: 05/13/2021] [Accepted: 05/23/2021] [Indexed: 12/25/2022]
Abstract
Pattern recognition receptors (PRRs) are a kind of recognition molecules mainly expressed on innate immune cells. PRRs recognize one or more kinds of pathogen-associated molecular patterns (PAMPs), inducing the production of interleukin (IL), tumor necrosis factor (TNF), interferon (IFN) and other related cytokines to aggravate immune-related diseases. PPR signaling pathways play an important role in both innate and adaptive immune system, and they are easy to be activated or regulated. Tripartite motif (TRIM) proteins are a group of highly conserved proteins in structure. Most of TRIM proteins contain RING domain, which is thought to play a role in ubiquitination. TRIM proteins are involved in viral immunity, inflammatory response, autophagy, and tumor growth. In this review, we focus on the regulation of TRIM proteins on PRR signaling pathways and their roles in immune-related diseases.
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Affiliation(s)
- Zheng Jin
- Department of Immunology, College of Basic Medical Sciences, Jilin University, Changchun, Jilin Province, China
| | - Zhenhua Zhu
- Department of Orthopaedic Trauma, The Third Affiliated Hospital of Southern, Medical University, Guangzhou, Guangdong Province, China.
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19
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Brief review on repurposed drugs and vaccines for possible treatment of COVID-19. Eur J Pharmacol 2021; 898:173977. [PMID: 33639193 PMCID: PMC7905377 DOI: 10.1016/j.ejphar.2021.173977] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Revised: 02/06/2021] [Accepted: 02/19/2021] [Indexed: 02/07/2023]
Abstract
Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), the causative agent of the pandemic coronavirus disease 2019 (Covid-19) has claimed more than a million lives. Various in silico, in vitro, and in vivo studies are being conducted to understand the effect of SARS-CoV-2 on the cellular metabolism of humans and the various drugs and drug-targets that may be used. In this review, we discuss protein-protein interactions (PPIs) between viral and human proteins as well as viral targets like proteases. We try to understand the molecular mechanism of various repurposed antiviral drugs against SARS-CoV-2, their combination therapies, drug dosage regimens, and their adverse effects along with possible alternatives like non-toxic antiviral phytochemicals. Ultimately, randomized controlled trials are needed to identify which of these compounds has the required balance of efficacy and safety. We also focus on the recent advancements in diagnostic methods and vaccine candidates developed around the world to fight against Covid-19.
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20
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Wang L, Ning S. TRIMming Type I Interferon-Mediated Innate Immune Response in Antiviral and Antitumor Defense. Viruses 2021; 13:279. [PMID: 33670221 PMCID: PMC7916971 DOI: 10.3390/v13020279] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Revised: 02/04/2021] [Accepted: 02/09/2021] [Indexed: 12/17/2022] Open
Abstract
The tripartite motif (TRIM) family comprises at least 80 members in humans, with most having ubiquitin or SUMO E3 ligase activity conferred by their N-terminal RING domain. TRIMs regulate a wide range of processes in ubiquitination- or sumoylation-dependent manners in most cases, and fewer as adaptors. Their roles in the regulation of viral infections, autophagy, cell cycle progression, DNA damage and other stress responses, and carcinogenesis are being increasingly appreciated, and their E3 ligase activities are attractive targets for developing specific immunotherapeutic strategies for immune diseases and cancers. Given their importance in antiviral immune response, viruses have evolved sophisticated immune escape strategies to subvert TRIM-mediated mechanisms. In this review, we focus on their regulation of IFN-I-mediated innate immune response, which plays key roles in antiviral and antitumor defense.
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Affiliation(s)
- Ling Wang
- Department of Internal Medicine, Quillen College of Medicine, East Tennessee State University, Johnson City, TN 37614, USA;
- Center of Excellence for Inflammation, Infectious Diseases and Immunity, Quillen College of Medicine, East Tennessee State University, Johnson City, TN 37614, USA
| | - Shunbin Ning
- Department of Internal Medicine, Quillen College of Medicine, East Tennessee State University, Johnson City, TN 37614, USA;
- Center of Excellence for Inflammation, Infectious Diseases and Immunity, Quillen College of Medicine, East Tennessee State University, Johnson City, TN 37614, USA
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21
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TRIM Proteins in Inflammation: from Expression to Emerging Regulatory Mechanisms. Inflammation 2021; 44:811-820. [PMID: 33415537 DOI: 10.1007/s10753-020-01394-8] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2020] [Revised: 10/07/2020] [Accepted: 12/07/2020] [Indexed: 02/06/2023]
Abstract
Inflammation is an immune response to exogenous or endogenous insults that helps to maintain the tissue homeostasis under stressful conditions. Depending on the differential types of insults, inflammation is classified into microbial, autoimmune, metabolic, allergic, and physical inflammation. With regard to its involvement in the pathogenesis of most of human diseases, dissecting the key molecules in the regulation of inflammatory process is vital for the prevention and therapeutics of human diseases. Tripartite motif (TRIM) proteins are a versatile family of E3 ligases, which are composed of > 80 distinct members in humans recognized for their roles in antiviral responses. Recently, a large number of studies have shown the regulatory roles of TRIM proteins in mediating the inflammation. Herein in this review, we discuss the aberrations of TRIM proteins in autoimmune and autoinflammatory diseases, with a focus on the regulation of different components of inflammatory process, including inflammasome, NF-κB signaling, type I IFN (interferon) production, and Th1/Th17 cell differentiation. Importantly, elucidation of the mechanism underlying the regulation of inflammation by TRIMs provides insights into the use of TRIMs as therapeutic targets for disease treatment.
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22
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Kumar V. Understanding the complexities of SARS-CoV2 infection and its immunology: A road to immune-based therapeutics. Int Immunopharmacol 2020; 88:106980. [PMID: 33182073 PMCID: PMC7843151 DOI: 10.1016/j.intimp.2020.106980] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2020] [Revised: 09/02/2020] [Accepted: 09/03/2020] [Indexed: 02/07/2023]
Abstract
Emerging infectious diseases always pose a threat to humans along with plant and animal life. SARS-CoV2 is the recently emerged viral infection that originated from Wuhan city of the Republic of China in December 2019. Now, it has become a pandemic. Currently, SARS-CoV2 has infected more than 27.74 million people worldwide, and taken 901,928 human lives. It was named first 'WH 1 Human CoV' and later changed to 2019 novel CoV (2019-nCoV). Scientists have established it as a zoonotic viral disease emerged from Chinese horseshoe bats, which do not develop a severe infection. For example, Rhinolophus Chinese horseshoe bats harboring severe acute respiratory syndrome-related coronavirus (SARSr-CoV) or SARSr-Rh-BatCoV appear healthy and clear the virus within 2-4 months period. The article introduces first the concept of EIDs and some past EIDs, which have affected human life. Next section discusses mysteries regarding SARS-CoV2 origin, its evolution, and human transfer. Third section describes COVID-19 clinical symptoms and factors affecting susceptibility or resistance. The fourth section introduces the SARS-CoV2 entry in the host cell, its replication, and the establishment of productive infection. Section five describes the host's immune response associated with asymptomatic, symptomatic, mild to moderate, and severe COVID-19. The subsequent seventh and eighth sections mention the immune status in COVID-19 convalescent patients and re-emergence of COVID-19 in them. Thereafter, the eighth section describes viral strategies to hijack the host antiviral immune response and generate the "cytokine storm". The ninth section describes about transgenic humane ACE2 (hACE2) receptor expressing mice to study immunity, drugs, and vaccines. The article ends with the development of different immunomodulatory and immunotherapeutics strategies, including vaccines waiting for their approval in humans as prophylaxis or treatment measures.
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Affiliation(s)
- V Kumar
- Children's Health Queensland Clinical Unit, School of Clinical Medicine, Faculty of Medicine, Mater Research, University of Queensland, ST Lucia, Brisbane, Queensland 4078, Australia; School of Biomedical Sciences, Faculty of Medicine, University of Queensland, ST Lucia, Brisbane, Queensland 4078, Australia.
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23
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Minakshi R, Jan AT, Rahman S, Kim J. A Testimony of the Surgent SARS-CoV-2 in the Immunological Panorama of the Human Host. Front Cell Infect Microbiol 2020; 10:575404. [PMID: 33262955 PMCID: PMC7687052 DOI: 10.3389/fcimb.2020.575404] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2020] [Accepted: 08/26/2020] [Indexed: 12/19/2022] Open
Abstract
The resurgence of SARS in the late December of 2019 due to a novel coronavirus, SARS-CoV-2, has shadowed the world with a pandemic. The physiopathology of this virus is very much in semblance with the previously known SARS-CoV and MERS-CoV. However, the unprecedented transmissibility of SARS-CoV-2 has been puzzling the scientific efforts. Though the virus harbors much of the genetic and architectural features of SARS-CoV, a few differences acquired during its evolutionary selective pressure is helping the SARS-CoV-2 to establish prodigious infection. Making entry into host the cell through already established ACE-2 receptor concerted with the action of TMPRSS2, is considered important for the virus. During the infection cycle of SARS-CoV-2, the innate immunity witnesses maximum dysregulations in its molecular network causing fatalities in aged, comorbid cases. The overt immunopathology manifested due to robust cytokine storm shows ARDS in severe cases of SARS-CoV-2. A delayed IFN activation gives appropriate time to the replicating virus to evade the host antiviral response and cause disruption of the adaptive response as well. We have compiled various aspects of SARS-CoV-2 in relation to its unique structural features and ability to modulate innate as well adaptive response in host, aiming at understanding the dynamism of infection.
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Affiliation(s)
- Rinki Minakshi
- Department of Microbiology, Swami Shraddhanand College, University of Delhi, New Delhi, India
| | - Arif Tasleem Jan
- School of Biosciences and Biotechnology, Baba Ghulam Shah Badshah University, Rajouri, India
| | - Safikur Rahman
- Munshi Singh College, BR Ambedkar Bihar University, Muzaffarpur, India
| | - Jihoe Kim
- Department of Medical Biotechnology, Research Institute of Cell Culture, Yeungnam University, Gyeongsan-si, South Korea
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24
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Biterge Süt B. Molecular profiling of immune cell-enriched Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) interacting protein USP13. Life Sci 2020; 258:118170. [PMID: 32735883 PMCID: PMC7387267 DOI: 10.1016/j.lfs.2020.118170] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2020] [Revised: 07/18/2020] [Accepted: 07/25/2020] [Indexed: 12/19/2022]
Abstract
AIMS Coronavirus disease 2019 (COVID-19), which is caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), is a major health concern worldwide. Due to the lack of specific medication and vaccination, drug-repurposing attempts has emerged as a promising approach and identified several human proteins interacting with the virus. This study aims to provide a comprehensive molecular profiling of the immune cell-enriched SARS-CoV-2 interacting protein USP13. MATERIALS AND METHODS The list of immune cell-enriched proteins interacting with SARS-CoV-2 was retrieved from The Human Protein Atlas. Genomic alterations were identified using cBioPortal. Survival analysis was performed via Kaplan-Meier Plotter. Analyses of protein expression and tumor infiltration levels were carried out by TIMER. KEY FINDINGS 14 human proteins that interact with SARS-CoV-2 were enriched in immune cells. Among these proteins, USP13 had the highest frequency of genomic alterations. Higher USP13 levels were correlated with improved survival in breast and lung cancers, while resulting in poor prognosis in ovarian and gastric cancers. Furthermore, copy number variations of USP13 significantly affected the infiltration levels of distinct subtypes of immune cells in head & neck, lung, ovarian and stomach cancers. Although our results suggested a tumor suppressor role for USP13 in lung cancer, in other cancers, its role seemed to be context-dependent. SIGNIFICANCE It is critical to identify and characterize human proteins that interact with SARS-CoV-2 in order to have a better understanding of the disease and to develop better therapies/vaccines. Here, we provided a comprehensive molecular profiling the immune cell-enriched SARS-CoV-2 interacting protein USP13, which will be useful for future studies.
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Affiliation(s)
- Burcu Biterge Süt
- Niğde Ömer Halisdemir University, Faculty of Medicine, Department of Medical Biology, Turkey.
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25
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Kumar V. Emerging Human Coronavirus Infections (SARS, MERS, and COVID-19): Where They Are Leading Us. Int Rev Immunol 2020; 40:5-53. [PMID: 32744465 DOI: 10.1080/08830185.2020.1800688] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Coronavirus infections are responsible for mild, moderate, and severe infections in birds and mammals. These were first isolated in humans as causal microorganisms responsible for common cold. The 2002-2003 SARS epidemic caused by SARS-CoV and 2012 MERS epidemic (64 countries affected) caused by MERS-CoV showed their acute and fatal side. These two CoV infections killed thousands of patients infected worldwide. However, WHO has still reported the MERS case in December 2019 in middle-eastern country (Saudi Arabia), indicating the MERS epidemic has not ended completely yet. Although we have not yet understood completely these two CoV epidemics, a third most dangerous and severe CoV infection has been originated in the Wuhan city, Hubei district of China in December 2019. This CoV infection called COVID-19 or SARS-CoV2 infection has now spread to 210 countries and territories around the world. COVID-19 has now been declared a pandemic by the World Health Organization (WHO). It has infected more than 16.69 million people with more than 663,540 deaths across the world. Thus the current manuscript aims to describe all three (SARS, MERS, and COVID-19) in terms of their causal organisms (SARS-CoV, MERS-CoV, and SARS-CoV2), similarities and differences in their clinical symptoms, outcomes, immunology, and immunopathogenesis, and possible future therapeutic approaches.
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Affiliation(s)
- Vijay Kumar
- Children's Health Queensland Clinical Unit, School of Clinical Medicine, Faculty of Medicine, Mater Research, University of Queensland, Brisbane, Queensland, Australia.,School of Biomedical Sciences, Faculty of Medicine, University of Queensland, Brisbane, Queensland, Australia
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26
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Zhang L, Yu C, Ge Z, Tao H, Meng F, Xu X, Tian T, Song C, Hu Z, Li J, Zhu F. Whole exome sequencing reveals the different responsiveness to Enterovirus 71 vaccination in Chinese children. Int J Infect Dis 2020; 97:47-53. [DOI: 10.1016/j.ijid.2020.06.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2020] [Revised: 06/04/2020] [Accepted: 06/04/2020] [Indexed: 10/24/2022] Open
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27
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Zhang R, Dai X, Cao X, Zhang C, Wang K, Huang X, Ren Q. Trim23 promotes WSSV replication though negative regulation of antimicrobial peptides expression in Macrobrachium nipponense. Mol Immunol 2020; 124:172-179. [DOI: 10.1016/j.molimm.2020.06.007] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2020] [Revised: 06/06/2020] [Accepted: 06/09/2020] [Indexed: 01/03/2023]
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28
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Li J, Guo M, Tian X, Wang X, Yang X, Wu P, Liu C, Xiao Z, Qu Y, Yin Y, Wang C, Zhang Y, Zhu Z, Liu Z, Peng C, Zhu T, Liang Q. Virus-Host Interactome and Proteomic Survey Reveal Potential Virulence Factors Influencing SARS-CoV-2 Pathogenesis. MED 2020; 2:99-112.e7. [PMID: 32838362 PMCID: PMC7373048 DOI: 10.1016/j.medj.2020.07.002] [Citation(s) in RCA: 205] [Impact Index Per Article: 51.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Revised: 06/27/2020] [Accepted: 07/15/2020] [Indexed: 02/05/2023]
Abstract
Background The ongoing coronavirus disease 2019 (COVID-19) pandemic caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is a global public health concern due to relatively easy person-to-person transmission and the current lack of effective antiviral therapy. However, the exact molecular mechanisms of SARS-CoV-2 pathogenesis remain largely unknown. Methods Genome-wide screening was used to establish intraviral and viral-host interactomes. Quantitative proteomics was used to investigate the peripheral blood mononuclear cell (PBMC) proteome signature in COVID-19. Findings We elucidated 286 host proteins targeted by SARS-CoV-2 and >350 host proteins that are significantly perturbed in COVID-19-derived PBMCs. This signature in severe COVID-19 PBMCs reveals a significant upregulation of cellular proteins related to neutrophil activation and blood coagulation, as well as a downregulation of proteins mediating T cell receptor signaling. From the interactome, we further identified that non-structural protein 10 interacts with NF-κB-repressing factor (NKRF) to facilitate interleukin-8 (IL-8) induction, which potentially contributes to IL-8-mediated chemotaxis of neutrophils and the overexuberant host inflammatory response observed in COVID-19 patients. Conclusions Our study not only presents a systematic examination of SARS-CoV-2-induced perturbation of host targets and cellular networks but it also reveals insights into the mechanisms by which SARS-CoV-2 triggers cytokine storms, representing a powerful resource in the pursuit of therapeutic interventions. Funding National Key Research and Development Project of China, National Natural Science Foundation of China, National Science and Technology Major Project, Program for Professor of Special Appointment (Eastern Scholar) at Shanghai Institutions of Higher Learning, Shanghai Science and Technology Commission, Shanghai Municipal Health Commission, Shanghai Municipal Key Clinical Specialty, Innovative Research Team of High-level Local Universities in Shanghai, Interdisciplinary Program of Shanghai Jiao Tong University, SII Challenge Fund for COVID-19 Research, Chinese Academy of Sciences (CAS) Large Research Infrastructure of Maintenance and Remolding Project, and Chinese Academy of Sciences Key Technology Talent Program. Genome-wide screens identify 58 binary interactions between 29 SARS-CoV-2 proteins Virus-host interactome identifies 286 host targets for SARS-CoV-2 proteins Quantitative analysis depicts the overall proteome signature in COVID-19 PBMCs Nsp10 targets NKRF to facilitate IL-8 induction
The COVID-19 pandemic is caused by SARS-CoV-2, but little is known about the functions of its viral proteins. The authors characterized the SARS-CoV-2 intraviral and virus-host interaction networks in human cells and identified 286 potential host targets. Quantitative proteomic analysis revealed elevated levels of IL-6 and IL-8 in PBMCs collected from severe COVID-19 patients compared with mild ones, and the functional annotation of differentially expressed proteins implicate pathways involved in neutrophil activation, T cell receptor signaling, and the coagulation cascade. Combining virus-host interactome with COVID-19 proteomic analysis, the authors found that nsp10 interacts with NKRF to mediate IL-8 expression, providing a potential molecular mechanism for SARS-CoV-2-induced cytokine storm and marking it as a possible emerging therapeutic target.
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Affiliation(s)
- Jingjiao Li
- Research Center of Translational Medicine, Shanghai Children's Hospital, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Institute of Immunology, Department of Immunology and Microbiology, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Mingquan Guo
- Shanghai Institute of Phage, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China
- Department of Laboratory Medicine, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China
| | - Xiaoxu Tian
- National Facility for Protein Science in Shanghai, Zhangjiang Lab, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China
| | - Xin Wang
- Research Center of Translational Medicine, Shanghai Children's Hospital, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Institute of Immunology, Department of Immunology and Microbiology, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Xing Yang
- Research Center of Translational Medicine, Shanghai Children's Hospital, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Institute of Immunology, Department of Immunology and Microbiology, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Ping Wu
- National Facility for Protein Science in Shanghai, Zhangjiang Lab, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China
| | - Chengrong Liu
- Research Center of Translational Medicine, Shanghai Children's Hospital, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Institute of Immunology, Department of Immunology and Microbiology, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Zixuan Xiao
- Department of Medicine, University of Alberta, Edmonton, AB, Canada
| | - Yafei Qu
- Research Center of Translational Medicine, Shanghai Children's Hospital, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Institute of Immunology, Department of Immunology and Microbiology, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Yue Yin
- National Facility for Protein Science in Shanghai, Zhangjiang Lab, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China
| | - Chunxia Wang
- Department of Critical Care Medicine, Shanghai Children's Hospital, Shanghai Jiao Tong University, Shanghai 200062, China
| | - Yucai Zhang
- Department of Critical Care Medicine, Shanghai Children's Hospital, Shanghai Jiao Tong University, Shanghai 200062, China
| | - Zhaoqin Zhu
- Department of Laboratory Medicine, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China
| | - Zhenshan Liu
- Research Center of Translational Medicine, Shanghai Children's Hospital, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Institute of Immunology, Department of Immunology and Microbiology, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Chao Peng
- National Facility for Protein Science in Shanghai, Zhangjiang Lab, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China
| | - Tongyu Zhu
- Shanghai Institute of Phage, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China
- Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Qiming Liang
- Research Center of Translational Medicine, Shanghai Children's Hospital, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Institute of Immunology, Department of Immunology and Microbiology, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
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29
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Gordon DE, Jang GM, Bouhaddou M, Xu J, Obernier K, White KM, O'Meara MJ, Rezelj VV, Guo JZ, Swaney DL, Tummino TA, Hüttenhain R, Kaake RM, Richards AL, Tutuncuoglu B, Foussard H, Batra J, Haas K, Modak M, Kim M, Haas P, Polacco BJ, Braberg H, Fabius JM, Eckhardt M, Soucheray M, Bennett MJ, Cakir M, McGregor MJ, Li Q, Meyer B, Roesch F, Vallet T, Mac Kain A, Miorin L, Moreno E, Naing ZZC, Zhou Y, Peng S, Shi Y, Zhang Z, Shen W, Kirby IT, Melnyk JE, Chorba JS, Lou K, Dai SA, Barrio-Hernandez I, Memon D, Hernandez-Armenta C, Lyu J, Mathy CJP, Perica T, Pilla KB, Ganesan SJ, Saltzberg DJ, Rakesh R, Liu X, Rosenthal SB, Calviello L, Venkataramanan S, Liboy-Lugo J, Lin Y, Huang XP, Liu Y, Wankowicz SA, Bohn M, Safari M, Ugur FS, Koh C, Savar NS, Tran QD, Shengjuler D, Fletcher SJ, O'Neal MC, Cai Y, Chang JCJ, Broadhurst DJ, Klippsten S, Sharp PP, Wenzell NA, Kuzuoglu-Ozturk D, Wang HY, Trenker R, Young JM, Cavero DA, Hiatt J, Roth TL, Rathore U, Subramanian A, Noack J, Hubert M, Stroud RM, Frankel AD, Rosenberg OS, Verba KA, Agard DA, Ott M, Emerman M, Jura N, von Zastrow M, Verdin E, Ashworth A, Schwartz O, d'Enfert C, Mukherjee S, Jacobson M, Malik HS, Fujimori DG, Ideker T, Craik CS, Floor SN, Fraser JS, Gross JD, Sali A, Roth BL, Ruggero D, Taunton J, Kortemme T, Beltrao P, Vignuzzi M, García-Sastre A, Shokat KM, Shoichet BK, Krogan NJ. A SARS-CoV-2 protein interaction map reveals targets for drug repurposing. Nature 2020; 583:459-468. [PMID: 32353859 PMCID: PMC7431030 DOI: 10.1038/s41586-020-2286-9] [Citation(s) in RCA: 2905] [Impact Index Per Article: 726.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2020] [Accepted: 04/22/2020] [Indexed: 02/07/2023]
Abstract
A newly described coronavirus named severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which is the causative agent of coronavirus disease 2019 (COVID-19), has infected over 2.3 million people, led to the death of more than 160,000 individuals and caused worldwide social and economic disruption1,2. There are no antiviral drugs with proven clinical efficacy for the treatment of COVID-19, nor are there any vaccines that prevent infection with SARS-CoV-2, and efforts to develop drugs and vaccines are hampered by the limited knowledge of the molecular details of how SARS-CoV-2 infects cells. Here we cloned, tagged and expressed 26 of the 29 SARS-CoV-2 proteins in human cells and identified the human proteins that physically associated with each of the SARS-CoV-2 proteins using affinity-purification mass spectrometry, identifying 332 high-confidence protein-protein interactions between SARS-CoV-2 and human proteins. Among these, we identify 66 druggable human proteins or host factors targeted by 69 compounds (of which, 29 drugs are approved by the US Food and Drug Administration, 12 are in clinical trials and 28 are preclinical compounds). We screened a subset of these in multiple viral assays and found two sets of pharmacological agents that displayed antiviral activity: inhibitors of mRNA translation and predicted regulators of the sigma-1 and sigma-2 receptors. Further studies of these host-factor-targeting agents, including their combination with drugs that directly target viral enzymes, could lead to a therapeutic regimen to treat COVID-19.
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Affiliation(s)
- David E Gordon
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Gwendolyn M Jang
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Mehdi Bouhaddou
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Jiewei Xu
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Kirsten Obernier
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Kris M White
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Matthew J O'Meara
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Veronica V Rezelj
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, Paris, France
| | - Jeffrey Z Guo
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Danielle L Swaney
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Tia A Tummino
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA
| | - Ruth Hüttenhain
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Robyn M Kaake
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Alicia L Richards
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Beril Tutuncuoglu
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Helene Foussard
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Jyoti Batra
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Kelsey Haas
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Maya Modak
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Minkyu Kim
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Paige Haas
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Benjamin J Polacco
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Hannes Braberg
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Jacqueline M Fabius
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Manon Eckhardt
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Margaret Soucheray
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Melanie J Bennett
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Merve Cakir
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Michael J McGregor
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Qiongyu Li
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Bjoern Meyer
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, Paris, France
| | - Ferdinand Roesch
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, Paris, France
| | - Thomas Vallet
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, Paris, France
| | - Alice Mac Kain
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, Paris, France
| | - Lisa Miorin
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Elena Moreno
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Zun Zar Chi Naing
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Yuan Zhou
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Shiming Peng
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA
| | - Ying Shi
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
- Howard Hughes Medical Institute, University of California San Francisco, San Francisco, CA, USA
| | - Ziyang Zhang
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
- Howard Hughes Medical Institute, University of California San Francisco, San Francisco, CA, USA
| | - Wenqi Shen
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
- Howard Hughes Medical Institute, University of California San Francisco, San Francisco, CA, USA
| | - Ilsa T Kirby
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
- Howard Hughes Medical Institute, University of California San Francisco, San Francisco, CA, USA
| | - James E Melnyk
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
- Howard Hughes Medical Institute, University of California San Francisco, San Francisco, CA, USA
| | - John S Chorba
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
- Howard Hughes Medical Institute, University of California San Francisco, San Francisco, CA, USA
| | - Kevin Lou
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
- Howard Hughes Medical Institute, University of California San Francisco, San Francisco, CA, USA
| | - Shizhong A Dai
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
- Howard Hughes Medical Institute, University of California San Francisco, San Francisco, CA, USA
| | - Inigo Barrio-Hernandez
- European Molecular Biology Laboratory (EMBL), European Bioinformatics Institute, Wellcome Genome Campus, Cambridge, UK
| | - Danish Memon
- European Molecular Biology Laboratory (EMBL), European Bioinformatics Institute, Wellcome Genome Campus, Cambridge, UK
| | - Claudia Hernandez-Armenta
- European Molecular Biology Laboratory (EMBL), European Bioinformatics Institute, Wellcome Genome Campus, Cambridge, UK
| | - Jiankun Lyu
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA
| | - Christopher J P Mathy
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA
- The UC Berkeley-UCSF Graduate Program in Bioengineering, University of California San Francisco, San Francisco, CA, USA
| | - Tina Perica
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA
| | - Kala Bharath Pilla
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA
| | - Sai J Ganesan
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA
| | - Daniel J Saltzberg
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA
| | - Ramachandran Rakesh
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA
| | - Xi Liu
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA
| | - Sara B Rosenthal
- Center for Computational Biology and Bioinformatics, Department of Medicine, University of California San Diego, San Diego, CA, USA
| | - Lorenzo Calviello
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Department of Cell and Tissue Biology, University of California San Francisco, San Francisco, CA, USA
| | - Srivats Venkataramanan
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Department of Cell and Tissue Biology, University of California San Francisco, San Francisco, CA, USA
| | - Jose Liboy-Lugo
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Department of Cell and Tissue Biology, University of California San Francisco, San Francisco, CA, USA
| | - Yizhu Lin
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Department of Cell and Tissue Biology, University of California San Francisco, San Francisco, CA, USA
| | - Xi-Ping Huang
- Department of Pharmacology, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - YongFeng Liu
- Department of Pharmacology, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Stephanie A Wankowicz
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA
- Biophysics Graduate Program, University of California San Francisco, San Francisco, CA, USA
| | - Markus Bohn
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA
| | - Maliheh Safari
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA, USA
| | - Fatima S Ugur
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
- Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA
| | - Cassandra Koh
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, Paris, France
| | - Nastaran Sadat Savar
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, Paris, France
| | - Quang Dinh Tran
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, Paris, France
| | - Djoshkun Shengjuler
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, Paris, France
| | - Sabrina J Fletcher
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, Paris, France
| | | | | | | | | | | | - Phillip P Sharp
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Nicole A Wenzell
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Duygu Kuzuoglu-Ozturk
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
- Department of Urology, University of California San Francisco, San Francisco, CA, USA
| | - Hao-Yuan Wang
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Raphael Trenker
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Cardiovascular Research Institute, University of California San Francisco, San Francisco, CA, USA
| | - Janet M Young
- Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Devin A Cavero
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- George William Hooper Foundation, Department of Microbiology and Immunology, University of California San Francisco, San Francisco, CA, USA
| | - Joseph Hiatt
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Medical Scientist Training Program, University of California San Francisco, San Francisco, CA, USA
| | - Theodore L Roth
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- George William Hooper Foundation, Department of Microbiology and Immunology, University of California San Francisco, San Francisco, CA, USA
- Medical Scientist Training Program, University of California San Francisco, San Francisco, CA, USA
| | - Ujjwal Rathore
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- George William Hooper Foundation, Department of Microbiology and Immunology, University of California San Francisco, San Francisco, CA, USA
| | - Advait Subramanian
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- George William Hooper Foundation, Department of Microbiology and Immunology, University of California San Francisco, San Francisco, CA, USA
| | - Julia Noack
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- George William Hooper Foundation, Department of Microbiology and Immunology, University of California San Francisco, San Francisco, CA, USA
| | - Mathieu Hubert
- Virus and Immunity Unit, Institut Pasteur, Paris, France
| | - Robert M Stroud
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA, USA
| | - Alan D Frankel
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA, USA
| | - Oren S Rosenberg
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA, USA
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Kliment A Verba
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA
| | - David A Agard
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA, USA
| | - Melanie Ott
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Michael Emerman
- Division of Human Biology, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Natalia Jura
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
- Cardiovascular Research Institute, University of California San Francisco, San Francisco, CA, USA
| | - Mark von Zastrow
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
- Department of Psychiatry, University of California San Francisco, San Francisco, CA, USA
| | - Eric Verdin
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
- Buck Institute for Research on Aging, Novato, CA, USA
| | - Alan Ashworth
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
| | | | | | - Shaeri Mukherjee
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- George William Hooper Foundation, Department of Microbiology and Immunology, University of California San Francisco, San Francisco, CA, USA
| | - Matt Jacobson
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA
| | - Harmit S Malik
- Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Danica G Fujimori
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
- Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA
| | - Trey Ideker
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Division of Genetics, Department of Medicine, University of California San Diego, San Diego, CA, USA
| | - Charles S Craik
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
| | - Stephen N Floor
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Department of Cell and Tissue Biology, University of California San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
| | - James S Fraser
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA
| | - John D Gross
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA
| | - Andrej Sali
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA
| | - Bryan L Roth
- Department of Pharmacology, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Davide Ruggero
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
- Department of Urology, University of California San Francisco, San Francisco, CA, USA
| | - Jack Taunton
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Tanja Kortemme
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA
- The UC Berkeley-UCSF Graduate Program in Bioengineering, University of California San Francisco, San Francisco, CA, USA
| | - Pedro Beltrao
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- European Molecular Biology Laboratory (EMBL), European Bioinformatics Institute, Wellcome Genome Campus, Cambridge, UK
| | - Marco Vignuzzi
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, Paris, France.
| | - Adolfo García-Sastre
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Department of Medicine, Division of Infectious Diseases, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| | - Kevan M Shokat
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA.
- Howard Hughes Medical Institute, University of California San Francisco, San Francisco, CA, USA.
| | - Brian K Shoichet
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.
- Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA.
| | - Nevan J Krogan
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.
- J. David Gladstone Institutes, San Francisco, CA, USA.
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA.
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
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30
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TRIM59 attenuates IL-1β-driven cartilage matrix degradation in osteoarthritis via direct suppression of NF-κB and JAK2/STAT3 signaling pathway. Biochem Biophys Res Commun 2020; 529:28-34. [PMID: 32560815 DOI: 10.1016/j.bbrc.2020.05.130] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2020] [Accepted: 05/13/2020] [Indexed: 12/18/2022]
Abstract
The tripartite motif (TRIM) protein family are implicated in a wide array of cellular processes, including cell growth, differentiation, apoptosis and inflammation. This study aimed to investigate the specific function of TRIM59 in chondrocytes and its association with the pathophysiology of osteoarthritis (OA). We observed the downregulated TRIM59 expression in OA cartilage compared to normal tissues. Overexpression of TRIM59 suppressed interleukin 1 beta (IL-1β)-induced extracellular matrix (ECM) metabolic imbalance, proinflammatory cytokine production, apoptosis and decrease in cell viability. Mechanistic analyses further revealed that IL-1β-induced activation of the NF-κB and JAK2/STAT3 pathway is suppressed upon TRIM59 overexpression. TRIM59 expression was consistently decreased in a rat OA model in vivo, and its overexpression led to inhibition of matrix metallopeptidase-13 (MMP-13) production, proinflammatory cytokine levels and increased collagen type II (collagen II) and aggrecan synthesis. Our data collectively suggest that TRIM59 plays a critical in OA development through regulation of NF-κB and JAK2/STAT3 signaling pathway. Pharmacological upregulation of TRIM59 may therefore present an effective novel therapeutic approach for OA.
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31
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Gordon DE, Jang GM, Bouhaddou M, Xu J, Obernier K, White KM, O'Meara MJ, Rezelj VV, Guo JZ, Swaney DL, Tummino TA, Hüttenhain R, Kaake RM, Richards AL, Tutuncuoglu B, Foussard H, Batra J, Haas K, Modak M, Kim M, Haas P, Polacco BJ, Braberg H, Fabius JM, Eckhardt M, Soucheray M, Bennett MJ, Cakir M, McGregor MJ, Li Q, Meyer B, Roesch F, Vallet T, Mac Kain A, Miorin L, Moreno E, Naing ZZC, Zhou Y, Peng S, Shi Y, Zhang Z, Shen W, Kirby IT, Melnyk JE, Chorba JS, Lou K, Dai SA, Barrio-Hernandez I, Memon D, Hernandez-Armenta C, Lyu J, Mathy CJP, Perica T, Pilla KB, Ganesan SJ, Saltzberg DJ, Rakesh R, Liu X, Rosenthal SB, Calviello L, Venkataramanan S, Liboy-Lugo J, Lin Y, Huang XP, Liu Y, Wankowicz SA, Bohn M, Safari M, Ugur FS, Koh C, Savar NS, Tran QD, Shengjuler D, Fletcher SJ, O'Neal MC, Cai Y, Chang JCJ, Broadhurst DJ, Klippsten S, Sharp PP, Wenzell NA, Kuzuoglu-Ozturk D, Wang HY, Trenker R, Young JM, Cavero DA, Hiatt J, Roth TL, Rathore U, Subramanian A, Noack J, Hubert M, Stroud RM, Frankel AD, Rosenberg OS, Verba KA, Agard DA, Ott M, Emerman M, Jura N, von Zastrow M, Verdin E, Ashworth A, Schwartz O, d'Enfert C, Mukherjee S, Jacobson M, Malik HS, Fujimori DG, Ideker T, Craik CS, Floor SN, Fraser JS, Gross JD, Sali A, Roth BL, Ruggero D, Taunton J, Kortemme T, Beltrao P, Vignuzzi M, García-Sastre A, Shokat KM, Shoichet BK, Krogan NJ. A SARS-CoV-2 protein interaction map reveals targets for drug repurposing. Nature 2020. [PMID: 32353859 DOI: 10.1038/s41586‐020‐2286‐9] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
A newly described coronavirus named severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which is the causative agent of coronavirus disease 2019 (COVID-19), has infected over 2.3 million people, led to the death of more than 160,000 individuals and caused worldwide social and economic disruption1,2. There are no antiviral drugs with proven clinical efficacy for the treatment of COVID-19, nor are there any vaccines that prevent infection with SARS-CoV-2, and efforts to develop drugs and vaccines are hampered by the limited knowledge of the molecular details of how SARS-CoV-2 infects cells. Here we cloned, tagged and expressed 26 of the 29 SARS-CoV-2 proteins in human cells and identified the human proteins that physically associated with each of the SARS-CoV-2 proteins using affinity-purification mass spectrometry, identifying 332 high-confidence protein-protein interactions between SARS-CoV-2 and human proteins. Among these, we identify 66 druggable human proteins or host factors targeted by 69 compounds (of which, 29 drugs are approved by the US Food and Drug Administration, 12 are in clinical trials and 28 are preclinical compounds). We screened a subset of these in multiple viral assays and found two sets of pharmacological agents that displayed antiviral activity: inhibitors of mRNA translation and predicted regulators of the sigma-1 and sigma-2 receptors. Further studies of these host-factor-targeting agents, including their combination with drugs that directly target viral enzymes, could lead to a therapeutic regimen to treat COVID-19.
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Affiliation(s)
- David E Gordon
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Gwendolyn M Jang
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Mehdi Bouhaddou
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Jiewei Xu
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Kirsten Obernier
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Kris M White
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Matthew J O'Meara
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Veronica V Rezelj
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, Paris, France
| | - Jeffrey Z Guo
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Danielle L Swaney
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Tia A Tummino
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA
| | - Ruth Hüttenhain
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Robyn M Kaake
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Alicia L Richards
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Beril Tutuncuoglu
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Helene Foussard
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Jyoti Batra
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Kelsey Haas
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Maya Modak
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Minkyu Kim
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Paige Haas
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Benjamin J Polacco
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Hannes Braberg
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Jacqueline M Fabius
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Manon Eckhardt
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Margaret Soucheray
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Melanie J Bennett
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Merve Cakir
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Michael J McGregor
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Qiongyu Li
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Bjoern Meyer
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, Paris, France
| | - Ferdinand Roesch
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, Paris, France
| | - Thomas Vallet
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, Paris, France
| | - Alice Mac Kain
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, Paris, France
| | - Lisa Miorin
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Elena Moreno
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Zun Zar Chi Naing
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Yuan Zhou
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Shiming Peng
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA
| | - Ying Shi
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA.,Howard Hughes Medical Institute, University of California San Francisco, San Francisco, CA, USA
| | - Ziyang Zhang
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA.,Howard Hughes Medical Institute, University of California San Francisco, San Francisco, CA, USA
| | - Wenqi Shen
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA.,Howard Hughes Medical Institute, University of California San Francisco, San Francisco, CA, USA
| | - Ilsa T Kirby
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA.,Howard Hughes Medical Institute, University of California San Francisco, San Francisco, CA, USA
| | - James E Melnyk
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA.,Howard Hughes Medical Institute, University of California San Francisco, San Francisco, CA, USA
| | - John S Chorba
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA.,Howard Hughes Medical Institute, University of California San Francisco, San Francisco, CA, USA
| | - Kevin Lou
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA.,Howard Hughes Medical Institute, University of California San Francisco, San Francisco, CA, USA
| | - Shizhong A Dai
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA.,Howard Hughes Medical Institute, University of California San Francisco, San Francisco, CA, USA
| | - Inigo Barrio-Hernandez
- European Molecular Biology Laboratory (EMBL), European Bioinformatics Institute, Wellcome Genome Campus, Cambridge, UK
| | - Danish Memon
- European Molecular Biology Laboratory (EMBL), European Bioinformatics Institute, Wellcome Genome Campus, Cambridge, UK
| | - Claudia Hernandez-Armenta
- European Molecular Biology Laboratory (EMBL), European Bioinformatics Institute, Wellcome Genome Campus, Cambridge, UK
| | - Jiankun Lyu
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA
| | - Christopher J P Mathy
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA.,The UC Berkeley-UCSF Graduate Program in Bioengineering, University of California San Francisco, San Francisco, CA, USA
| | - Tina Perica
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA
| | - Kala Bharath Pilla
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA
| | - Sai J Ganesan
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA
| | - Daniel J Saltzberg
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA
| | - Ramachandran Rakesh
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA
| | - Xi Liu
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA
| | - Sara B Rosenthal
- Center for Computational Biology and Bioinformatics, Department of Medicine, University of California San Diego, San Diego, CA, USA
| | - Lorenzo Calviello
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Department of Cell and Tissue Biology, University of California San Francisco, San Francisco, CA, USA
| | - Srivats Venkataramanan
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Department of Cell and Tissue Biology, University of California San Francisco, San Francisco, CA, USA
| | - Jose Liboy-Lugo
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Department of Cell and Tissue Biology, University of California San Francisco, San Francisco, CA, USA
| | - Yizhu Lin
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Department of Cell and Tissue Biology, University of California San Francisco, San Francisco, CA, USA
| | - Xi-Ping Huang
- Department of Pharmacology, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - YongFeng Liu
- Department of Pharmacology, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Stephanie A Wankowicz
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA.,Biophysics Graduate Program, University of California San Francisco, San Francisco, CA, USA
| | - Markus Bohn
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA
| | - Maliheh Safari
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA, USA
| | - Fatima S Ugur
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA.,Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA
| | - Cassandra Koh
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, Paris, France
| | - Nastaran Sadat Savar
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, Paris, France
| | - Quang Dinh Tran
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, Paris, France
| | - Djoshkun Shengjuler
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, Paris, France
| | - Sabrina J Fletcher
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, Paris, France
| | | | | | | | | | | | - Phillip P Sharp
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Nicole A Wenzell
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Duygu Kuzuoglu-Ozturk
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA.,Department of Urology, University of California San Francisco, San Francisco, CA, USA
| | - Hao-Yuan Wang
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Raphael Trenker
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Cardiovascular Research Institute, University of California San Francisco, San Francisco, CA, USA
| | - Janet M Young
- Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Devin A Cavero
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,George William Hooper Foundation, Department of Microbiology and Immunology, University of California San Francisco, San Francisco, CA, USA
| | - Joseph Hiatt
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Medical Scientist Training Program, University of California San Francisco, San Francisco, CA, USA
| | - Theodore L Roth
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,George William Hooper Foundation, Department of Microbiology and Immunology, University of California San Francisco, San Francisco, CA, USA.,Medical Scientist Training Program, University of California San Francisco, San Francisco, CA, USA
| | - Ujjwal Rathore
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,George William Hooper Foundation, Department of Microbiology and Immunology, University of California San Francisco, San Francisco, CA, USA
| | - Advait Subramanian
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,George William Hooper Foundation, Department of Microbiology and Immunology, University of California San Francisco, San Francisco, CA, USA
| | - Julia Noack
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,George William Hooper Foundation, Department of Microbiology and Immunology, University of California San Francisco, San Francisco, CA, USA
| | - Mathieu Hubert
- Virus and Immunity Unit, Institut Pasteur, Paris, France
| | - Robert M Stroud
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA, USA
| | - Alan D Frankel
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA, USA
| | - Oren S Rosenberg
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA, USA.,Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Kliment A Verba
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA
| | - David A Agard
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA, USA
| | - Melanie Ott
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Michael Emerman
- Division of Human Biology, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Natalia Jura
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA.,Cardiovascular Research Institute, University of California San Francisco, San Francisco, CA, USA
| | - Mark von Zastrow
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA.,Department of Psychiatry, University of California San Francisco, San Francisco, CA, USA
| | - Eric Verdin
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Department of Medicine, University of California San Francisco, San Francisco, CA, USA.,Buck Institute for Research on Aging, Novato, CA, USA
| | - Alan Ashworth
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
| | | | | | - Shaeri Mukherjee
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,George William Hooper Foundation, Department of Microbiology and Immunology, University of California San Francisco, San Francisco, CA, USA
| | - Matt Jacobson
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA
| | - Harmit S Malik
- Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Danica G Fujimori
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA.,Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA
| | - Trey Ideker
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Division of Genetics, Department of Medicine, University of California San Diego, San Diego, CA, USA
| | - Charles S Craik
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA.,Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
| | - Stephen N Floor
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Department of Cell and Tissue Biology, University of California San Francisco, San Francisco, CA, USA.,Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
| | - James S Fraser
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA
| | - John D Gross
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA
| | - Andrej Sali
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA.,Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA
| | - Bryan L Roth
- Department of Pharmacology, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Davide Ruggero
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA.,Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA.,Department of Urology, University of California San Francisco, San Francisco, CA, USA
| | - Jack Taunton
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Tanja Kortemme
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA.,The UC Berkeley-UCSF Graduate Program in Bioengineering, University of California San Francisco, San Francisco, CA, USA
| | - Pedro Beltrao
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,European Molecular Biology Laboratory (EMBL), European Bioinformatics Institute, Wellcome Genome Campus, Cambridge, UK
| | - Marco Vignuzzi
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, Paris, France.
| | - Adolfo García-Sastre
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA. .,Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA. .,Department of Medicine, Division of Infectious Diseases, Icahn School of Medicine at Mount Sinai, New York, NY, USA. .,The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| | - Kevan M Shokat
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA. .,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA. .,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA. .,Howard Hughes Medical Institute, University of California San Francisco, San Francisco, CA, USA.
| | - Brian K Shoichet
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA. .,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA. .,Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA.
| | - Nevan J Krogan
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA. .,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA. .,J. David Gladstone Institutes, San Francisco, CA, USA. .,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA. .,Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
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32
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Liu G, Song J, Zhao Y, Zhang L, Qin J, Cui Y. Tripartite motif containing 59 (TRIM59) promotes esophageal cancer progression via promoting MST4 expression and ERK pathway. J Recept Signal Transduct Res 2020; 40:471-478. [PMID: 32340525 DOI: 10.1080/10799893.2020.1756327] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
Objective: To detect the expression of tripartite motif containing 59 (TRIM59) in human esophageal cancer (EC) tissues and explore whether TRIM59 could affect the progression of EC.Methods: Quantitative PCR and immunohistochemistry assays were performed to detect the expression of TRIM59 in 40 human EC tissues and corresponding non-tumor tissues. The correlations between TRIM59 expression and clinical pathological features of patients with EC were also investigated. CCK-8, colony formation, wound closure, and transwell assays were performed to detect the effects of TRIM59 on EC cells in vitro., Immunoblotting assays were performed to detect the effects of TRIM59 on the expression of mammalian sterile-20-like kinase 4 (MST4) and ERK pathway.Results: We reported increased expression of TRIM59 in human EC tissues, and its expression was correlated with clinical features, including metastasis (p = .011*) and maximum diameter (p = .027*), in patients with EC. We further found that TRIM59 contributed to the proliferation and invasion of EC cells via regulating mammalian sterile-20-like kinase 4 (MST4) expression and ERK pathway.Conclusion: Our data confirmed the involvement of TRIM59 in EC progression and proposed that TRIM59 could serve as a promising therapeutic target for the treatment of EC.
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Affiliation(s)
- Guangming Liu
- Department of Gastroenterology, The First Hospital of Jilin University, Changchun City, Jilin Province, China
| | - Jinying Song
- Department of Thoracic Surgery, The First Hospital of Jilin University, Changchun City, Jilin Province, China
| | - Yong Zhao
- Department of Thoracic Surgery, The First Hospital of Jilin University, Changchun City, Jilin Province, China
| | - Lianjie Zhang
- Department of Thoracic Surgery, The First Hospital of Jilin University, Changchun City, Jilin Province, China
| | - Junjie Qin
- Department of Gastroenterology, The First Hospital of Jilin University, Changchun City, Jilin Province, China
| | - Youbin Cui
- Department of Thoracic Surgery, The First Hospital of Jilin University, Changchun City, Jilin Province, China
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33
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Gordon DE, Jang GM, Bouhaddou M, Xu J, Obernier K, O'Meara MJ, Guo JZ, Swaney DL, Tummino TA, Hüttenhain R, Kaake RM, Richards AL, Tutuncuoglu B, Foussard H, Batra J, Haas K, Modak M, Kim M, Haas P, Polacco BJ, Braberg H, Fabius JM, Eckhardt M, Soucheray M, Bennett MJ, Cakir M, McGregor MJ, Li Q, Naing ZZC, Zhou Y, Peng S, Kirby IT, Melnyk JE, Chorba JS, Lou K, Dai SA, Shen W, Shi Y, Zhang Z, Barrio-Hernandez I, Memon D, Hernandez-Armenta C, Mathy CJP, Perica T, Pilla KB, Ganesan SJ, Saltzberg DJ, Ramachandran R, Liu X, Rosenthal SB, Calviello L, Venkataramanan S, Lin Y, Wankowicz SA, Bohn M, Trenker R, Young JM, Cavero D, Hiatt J, Roth T, Rathore U, Subramanian A, Noack J, Hubert M, Roesch F, Vallet T, Meyer B, White KM, Miorin L, Agard D, Emerman M, Ruggero D, García-Sastre A, Jura N, von Zastrow M, Taunton J, Schwartz O, Vignuzzi M, d'Enfert C, Mukherjee S, Jacobson M, Malik HS, Fujimori DG, Ideker T, Craik CS, Floor S, Fraser JS, Gross J, Sali A, Kortemme T, Beltrao P, Shokat K, Shoichet BK, Krogan NJ. A SARS-CoV-2-Human Protein-Protein Interaction Map Reveals Drug Targets and Potential Drug-Repurposing. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2020:2020.03.22.002386. [PMID: 32511329 PMCID: PMC7239059 DOI: 10.1101/2020.03.22.002386] [Citation(s) in RCA: 132] [Impact Index Per Article: 33.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
An outbreak of the novel coronavirus SARS-CoV-2, the causative agent of COVID-19 respiratory disease, has infected over 290,000 people since the end of 2019, killed over 12,000, and caused worldwide social and economic disruption 1,2 . There are currently no antiviral drugs with proven efficacy nor are there vaccines for its prevention. Unfortunately, the scientific community has little knowledge of the molecular details of SARS-CoV-2 infection. To illuminate this, we cloned, tagged and expressed 26 of the 29 viral proteins in human cells and identified the human proteins physically associated with each using affinity-purification mass spectrometry (AP-MS), which identified 332 high confidence SARS-CoV-2-human protein-protein interactions (PPIs). Among these, we identify 66 druggable human proteins or host factors targeted by 69 existing FDA-approved drugs, drugs in clinical trials and/or preclinical compounds, that we are currently evaluating for efficacy in live SARS-CoV-2 infection assays. The identification of host dependency factors mediating virus infection may provide key insights into effective molecular targets for developing broadly acting antiviral therapeutics against SARS-CoV-2 and other deadly coronavirus strains.
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Affiliation(s)
- David E Gordon
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,J. David Gladstone Institutes, San Francisco, CA 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA
| | - Gwendolyn M Jang
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,J. David Gladstone Institutes, San Francisco, CA 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA
| | - Mehdi Bouhaddou
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,J. David Gladstone Institutes, San Francisco, CA 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA
| | - Jiewei Xu
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,J. David Gladstone Institutes, San Francisco, CA 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA
| | - Kirsten Obernier
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,J. David Gladstone Institutes, San Francisco, CA 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA
| | - Matthew J O'Meara
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Jeffrey Z Guo
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,J. David Gladstone Institutes, San Francisco, CA 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA
| | - Danielle L Swaney
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,J. David Gladstone Institutes, San Francisco, CA 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA
| | - Tia A Tummino
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,Department of Pharmaceutical Chemistry, University of California, San Francisco
| | - Ruth Hüttenhain
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,J. David Gladstone Institutes, San Francisco, CA 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA
| | - Robyn M Kaake
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,J. David Gladstone Institutes, San Francisco, CA 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA
| | - Alicia L Richards
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,J. David Gladstone Institutes, San Francisco, CA 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA
| | - Beril Tutuncuoglu
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,J. David Gladstone Institutes, San Francisco, CA 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA
| | - Helene Foussard
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,J. David Gladstone Institutes, San Francisco, CA 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA
| | - Jyoti Batra
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,J. David Gladstone Institutes, San Francisco, CA 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA
| | - Kelsey Haas
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,J. David Gladstone Institutes, San Francisco, CA 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA
| | - Maya Modak
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,J. David Gladstone Institutes, San Francisco, CA 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA
| | - Minkyu Kim
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,J. David Gladstone Institutes, San Francisco, CA 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA
| | - Paige Haas
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,J. David Gladstone Institutes, San Francisco, CA 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA
| | - Benjamin J Polacco
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,J. David Gladstone Institutes, San Francisco, CA 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA
| | - Hannes Braberg
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,J. David Gladstone Institutes, San Francisco, CA 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA
| | - Jacqueline M Fabius
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,J. David Gladstone Institutes, San Francisco, CA 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA
| | - Manon Eckhardt
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,J. David Gladstone Institutes, San Francisco, CA 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA
| | - Margaret Soucheray
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,J. David Gladstone Institutes, San Francisco, CA 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA
| | - Melanie J Bennett
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,J. David Gladstone Institutes, San Francisco, CA 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA
| | - Merve Cakir
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,J. David Gladstone Institutes, San Francisco, CA 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA
| | - Michael J McGregor
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,J. David Gladstone Institutes, San Francisco, CA 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA
| | - Qiongyu Li
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,J. David Gladstone Institutes, San Francisco, CA 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA
| | - Zun Zar Chi Naing
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,J. David Gladstone Institutes, San Francisco, CA 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA
| | - Yuan Zhou
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,J. David Gladstone Institutes, San Francisco, CA 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA
| | - Shiming Peng
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,Department of Pharmaceutical Chemistry, University of California, San Francisco
| | - Ilsa T Kirby
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA.,Howard Hughes Medical Institute
| | - James E Melnyk
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA.,Howard Hughes Medical Institute
| | - John S Chorba
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA.,Howard Hughes Medical Institute
| | - Kevin Lou
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA.,Howard Hughes Medical Institute
| | - Shizhong A Dai
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA.,Howard Hughes Medical Institute
| | - Wenqi Shen
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA.,Howard Hughes Medical Institute
| | - Ying Shi
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA.,Howard Hughes Medical Institute
| | - Ziyang Zhang
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA.,Howard Hughes Medical Institute
| | - Inigo Barrio-Hernandez
- European Molecular Biology Laboratory (EMBL), European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Danish Memon
- European Molecular Biology Laboratory (EMBL), European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Claudia Hernandez-Armenta
- European Molecular Biology Laboratory (EMBL), European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Christopher J P Mathy
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco.,The UC Berkeley-UCSF Graduate Program in Bioengineering, University of California San Francisco, San Francisco, CA, USA
| | - Tina Perica
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco
| | - Kala B Pilla
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco
| | - Sai J Ganesan
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco
| | - Daniel J Saltzberg
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco
| | - Rakesh Ramachandran
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco
| | - Xi Liu
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,Department of Pharmaceutical Chemistry, University of California, San Francisco
| | - Sara B Rosenthal
- Center for Computational Biology and Bioinformatics, Department of Medicine, University of California San Diego
| | - Lorenzo Calviello
- Department of Cell and Tissue Biology, University of California, San Francisco
| | | | - Yizhu Lin
- Department of Cell and Tissue Biology, University of California, San Francisco
| | - Stephanie A Wankowicz
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco.,Biophysics Graduate Program, University of California, San Francisco
| | - Markus Bohn
- Department of Pharmaceutical Chemistry, University of California, San Francisco
| | - Raphael Trenker
- Cardiovascular Research Institute, University of California San Francisco, San Francisco, CA, 94158, USA
| | - Janet M Young
- Division of Basic Sciences, Fred Hutchinson Cancer Research Center
| | - Devin Cavero
- Medical Scientist Training Program, University of California, San Francisco, CA 94143, USA.,J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Joe Hiatt
- Medical Scientist Training Program, University of California, San Francisco, CA 94143, USA.,J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Theo Roth
- Medical Scientist Training Program, University of California, San Francisco, CA 94143, USA.,J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Ujjwal Rathore
- Medical Scientist Training Program, University of California, San Francisco, CA 94143, USA.,J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Advait Subramanian
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,George William Hooper Foundation, Department of Microbiology and Immunology, UC San Francisco
| | - Julia Noack
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,George William Hooper Foundation, Department of Microbiology and Immunology, UC San Francisco
| | - Mathieu Hubert
- Virus and Immunity Unit, Institut Pasteur, 28 rue du Dr Roux, 75724 Paris Cedex 15, France
| | - Ferdinand Roesch
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, 28 rue du Dr Roux, 75724 Paris cedex 15, France
| | - Thomas Vallet
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, 28 rue du Dr Roux, 75724 Paris cedex 15, France
| | - Björn Meyer
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, 28 rue du Dr Roux, 75724 Paris cedex 15, France
| | - Kris M White
- Department for Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Lisa Miorin
- Department for Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY
| | - David Agard
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,Biochemistry & Biophysics and Quantitative Biosciences Institute UCSF 600 16th St San Francisco, CA 94143
| | - Michael Emerman
- Division of Human Biology, Fred Hutchinson Cancer Research Center, Seattle, WA 98103
| | - Davide Ruggero
- Department of Urology, University of California, San Francisco, San Francisco, CA, USA.,Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA
| | - Adolfo García-Sastre
- Department for Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Natalia Jura
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,Cardiovascular Research Institute, University of California San Francisco, San Francisco, CA, 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA
| | - Mark von Zastrow
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA.,University of California San Francisco, Department of Psychiatry, San Francisco, CA, 94158, USA
| | - Jack Taunton
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA
| | - Olivier Schwartz
- Virus and Immunity Unit, Institut Pasteur, 28 rue du Dr Roux, 75724 Paris Cedex 15, France
| | - Marco Vignuzzi
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, 28 rue du Dr Roux, 75724 Paris cedex 15, France
| | - Christophe d'Enfert
- Direction Scientifique, Institut Pasteur, 28 rue du Dr Roux, 75724 Paris cedex 15, France
| | - Shaeri Mukherjee
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,George William Hooper Foundation, Department of Microbiology and Immunology, UC San Francisco
| | - Matt Jacobson
- Department of Pharmaceutical Chemistry, University of California, San Francisco
| | - Harmit S Malik
- Division of Basic Sciences, Fred Hutchinson Cancer Research Center
| | - Danica G Fujimori
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA.,Department of Pharmaceutical Chemistry, University of California, San Francisco
| | - Trey Ideker
- Division of Genetics, Department of Medicine, University of California San Diego
| | - Charles S Craik
- Department of Pharmaceutical Chemistry, University of California, San Francisco.,Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, 94158, USA
| | - Stephen Floor
- Department of Cell and Tissue Biology, University of California, San Francisco.,Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, 94158, USA
| | - James S Fraser
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco
| | - John Gross
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,Department of Pharmaceutical Chemistry, University of California, San Francisco
| | - Andrej Sali
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,Department of Pharmaceutical Chemistry, University of California, San Francisco.,Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco
| | - Tanja Kortemme
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco.,The UC Berkeley-UCSF Graduate Program in Bioengineering, University of California San Francisco, San Francisco, CA, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA
| | - Pedro Beltrao
- European Molecular Biology Laboratory (EMBL), European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Kevan Shokat
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA.,Howard Hughes Medical Institute
| | - Brian K Shoichet
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,Department of Pharmaceutical Chemistry, University of California, San Francisco
| | - Nevan J Krogan
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, 94158, USA.,University of California San Francisco, Quantitative Biosciences Institute (QBI), San Francisco, CA, 94158, USA.,J. David Gladstone Institutes, San Francisco, CA 94158, USA.,University of California San Francisco, Department of Cellular and Molecular Pharmacology, San Francisco, CA, 94158, USA
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Jin Z, Zhu Z, Liu S, Hou Y, Tang M, Zhu P, Tian Y, Li D, Yan D, Zhu X. TRIM59 Protects Mice From Sepsis by Regulating Inflammation and Phagocytosis in Macrophages. Front Immunol 2020; 11:263. [PMID: 32133014 PMCID: PMC7041419 DOI: 10.3389/fimmu.2020.00263] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2019] [Accepted: 01/31/2020] [Indexed: 01/23/2023] Open
Abstract
Sepsis is associated with bacterial invasion and inflammation and has a high mortality rate. Previous studies have demonstrated that tripartite motif 59 (TRIM59) was involved in NF-κB signaling and could promote phagocytosis of macrophages, but the role of TRIM59 in sepsis is still unknown. In our study, we found that TRIM59 was downregulated in lipopolysaccharide (LPS)-stimulated bone marrow-derived macrophages (BMDMs). In the cecal ligation and puncture (CLP) sepsis mice model, the mortality of Trim59flox/floxLyz-Cre (Trim59-cKO) mice was higher, the immune cell infiltration and damage of liver and lung were more severe, and bacteria burden was increased. We also found that TRIM59 altered the production of pro-inflammation cytokines, as well as macrophage phagocytosis ability. Further analysis indicated that NF-κB signal pathway and Fcγ receptors might be involved in these regulations. Our study demonstrated for the first time that TRIM59 protects mice from sepsis by regulating inflammation and phagocytosis in macrophages.
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Affiliation(s)
- Zheng Jin
- Department of Immunology, College of Basic Medical Sciences, Jilin University, Changchun, China
| | - Zhenhua Zhu
- Department of Orthopaedic Trauma, The First Hospital of Jilin University, Changchun, China
| | - Shanshan Liu
- Department of Immunology, College of Basic Medical Sciences, Jilin University, Changchun, China
| | - Yuyang Hou
- Department of Immunology, College of Basic Medical Sciences, Jilin University, Changchun, China
| | - Mengyan Tang
- Department of Immunology, College of Basic Medical Sciences, Jilin University, Changchun, China
| | - Pei Zhu
- Department of Immunology, College of Basic Medical Sciences, Jilin University, Changchun, China
| | - Yuan Tian
- Key Laboratory for Molecular Enzymology and Engineering, Ministry of Education, Jilin University, Changchun, China
| | - Dong Li
- Department of Immunology, College of Basic Medical Sciences, Jilin University, Changchun, China
| | - Dongmei Yan
- Department of Immunology, College of Basic Medical Sciences, Jilin University, Changchun, China
| | - Xun Zhu
- Department of Immunology, College of Basic Medical Sciences, Jilin University, Changchun, China
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35
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TRIM59 expression is regulated by Sp1 and Nrf1 in LPS-activated macrophages through JNK signaling pathway. Cell Signal 2019; 67:109522. [PMID: 31883458 DOI: 10.1016/j.cellsig.2019.109522] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2019] [Revised: 12/23/2019] [Accepted: 12/23/2019] [Indexed: 12/19/2022]
Abstract
Activated macrophages play an important role in many inflammatory diseases including septic shock and atherosclerosis. TRIM59 has been showed to participate in many pathological processes, such as inflammation, cytotoxicity and tumorigenesis. However, the molecular mechanisms controlling its expression in activated macrophages are not fully understood. Here we report that TRIM59 expression is regulated by Sp1 and Nrf1 in LPS-activated macrophages. TRIM59 is highly expressed in macrophages, and markedly decreased by LPS stimuli in vivo and in vitro. TRIM59 promoter activity is also significantly suppressed by LPS and further analysis demonstrated that Sp1 and Nrf1 directly bound to the proximal promoter of TRIM59 gene. LPS treatment significantly decreased Sp1 expression, nuclear translocation and reduced its binding to the promoter, whereas increased Nrf1 expression, nuclear translocation and enhanced its binding to the promoter. Moreover, LPS-decreased TRIM59 expression was reversed by JNK inhibitor. Finally, TRIM59 level is significantly decreased during atherosclerosis progression. Taken together, our results demonstrated that TRIM59 expression was precisely regulated by Sp1 and Nrf1 in LPS-activated macrophages, which may be dependent on the activation of JNK signaling pathway and TRIM59 may be a potential therapeutic target for inflammatory diseases such as atherosclerosis.
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Ying H, Ji L, Xu Z, Fan X, Tong Y, Liu H, Zhao J, Cai X. TRIM59 promotes tumor growth in hepatocellular carcinoma and regulates the cell cycle by degradation of protein phosphatase 1B. Cancer Lett 2019; 473:13-24. [PMID: 31875525 DOI: 10.1016/j.canlet.2019.12.030] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2019] [Revised: 11/28/2019] [Accepted: 12/19/2019] [Indexed: 12/24/2022]
Abstract
Tripartite motif 59 (TRIM59) is a member of Tripartite motif protein family, which is frequently increased in many human cancers. However, the molecular mechanism of TRIM59 in hepatocellular carcinoma (HCC) has not been fully elucidated. In this study, we report that TRIM59 plays an essential role in growth of HCC. We analyzed RNA sequencing data to explore abnormally expressed TRIM59 in HCC. The effects of TRIM59 on HCC were investigated through in vitro and in vivo assays (i.e., CCK-8 assay, colony formation assay, flow cytometry assay, xenograft model, immunohistochemistry, immunofluorescence and western blot). The mechanism of TRIM59 action was explored through co-immunoprecipitation, immunofluorescence, mass spectrometry and bioinformatics. TRIM59 expression is up-regulated in HCC tissues. A high level of TRIM59 expression is correlated with poor overall and disease-free survival of HCC patients. Knockdown of TRIM59 attenuated proliferation, induced cells arrested at G1/S phase and reduced tumor growth in the mouse xenograft model. Ectopic expression of TRIM59 had the opposite results. Mechanistically, TRIM59 promoted growth and regulated cell cycle. Further studies indicated that TRIM59 might interacted physically with PPM1B, which has been reported to negatively regulate CDKs phosphorylation. We also discovered that TRIM59 increased degradation of PPM1B. TRIM59 overexpression in HCC patients correlated with reduced expression of PPM1B and increased CDKs phosphorylation and cell cycle proteins. Our findings demonstrate that TRIM59 promotes growth by PPM1B/CDKs signaling pathway, indicating a new prognostic biomarker candidate and a potential antitumor target for HCC.
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Affiliation(s)
- Hanning Ying
- Department of General Surgery, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Lin Ji
- Department of General Surgery, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Zhiyao Xu
- Department of Pathology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Xiaoxiao Fan
- Department of General Surgery, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Yifan Tong
- Department of General Surgery, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Hui Liu
- Biomedical Research Center, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Jia Zhao
- Biomedical Research Center, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Xiujun Cai
- Department of General Surgery, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
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Tian Y, Jin Z, Zhu P, Liu S, Zhang D, Tang M, Wang Y, Li D, Yan D, Li G, Zhu X. TRIM59: A membrane protein expressed on Bacillus Calmette-Guérin-activated macrophages that induces apoptosis of fibrosarcoma cells by direct contact. Exp Cell Res 2019; 384:111590. [DOI: 10.1016/j.yexcr.2019.111590] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2019] [Revised: 08/25/2019] [Accepted: 08/30/2019] [Indexed: 12/12/2022]
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TRIM59 inhibits porcine reproductive and respiratory syndrome virus (PRRSV)-2 replication in vitro. Res Vet Sci 2019; 127:105-112. [PMID: 31683196 DOI: 10.1016/j.rvsc.2019.10.004] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2019] [Revised: 09/27/2019] [Accepted: 10/06/2019] [Indexed: 12/20/2022]
Abstract
Porcine reproductive and respiratory syndrome (PRRS) caused by PRRS virus (PRRSV), has ranked among the major economically significant pathogen in the global swine industry. The PRRSV nonstructural protein (nsp)11 possesses nidovirus endoribonuclease (NendoU) activity, which is important for virus replication and suppression of the host innate immunity system. Recent proteomic study found that TRIM59 (tripartite motif-containing 59) interacted with the nsp11, albeit the exact role it plays in PRRSV infection remains enigmatic. Herein, we first confirmed the interaction between nsp11 and TRIM59 in co-transfected HEK293T cells and PRRSV-infected pulmonary alveolar macrophages (PAMs). The interacting domains between TRIM59 and nsp11 were further determined to be the N-terminal RING domain in TRIM59 and the C-terminal NendoU domain in nsp11, respectively. Moreover, we reported that overexpression of TRIM59 inhibited PRRSV infection in Marc-145 cells. Conversely, small interfering RNA (siRNA) depletion of TRIM59 resulted in enhanced production of PRRSV in PAMs. Together, these data add TRIM59 as a crucial antiviral component against PRRSV and provide new insights for development of new compounds to reduce PRRSV infection.
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Tian Y, Guo Y, Zhu P, Zhang D, Liu S, Tang M, Wang Y, Jin Z, Li D, Yan D, Li G, Zhu X. TRIM59 loss in M2 macrophages promotes melanoma migration and invasion by upregulating MMP-9 and Madcam1. Aging (Albany NY) 2019; 11:8623-8641. [PMID: 31600735 PMCID: PMC6814609 DOI: 10.18632/aging.102351] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2019] [Accepted: 09/27/2019] [Indexed: 12/19/2022]
Abstract
The culture supernatant from macrophages overexpressing TRIM59 has a cytotoxic effect on melanoma, but the mechanism remains unclear. To investigate whether deletion of TRIM59 in macrophages affects the metastatic potential of melanoma cells, we polarized control and TRIM59-deficient bone marrow-derived macrophages to the M2 phenotype and collected the respective conditioned media (CM). Exposure to CM from TRIM59-/--M2 cultures significantly promoted migration and invasion by B16-F0 and B16-F10 cells. Cytokine profiling indicated a ~15-fold increase in TNF-α production in CM from TRIM59-/--M2 cultures, and neutralizing TNF-α activity abrogated the referred stimulatory effects on cell motility. Transcriptome analysis revealed significant upregulation of MMP-9 and Madcam1 in melanoma cells exposed to TRIM59-/--M2 CM. Inhibitory experiments determined that these changes were also TNF-α-dependent and mediated by activation of ERK signaling. Independent knockdown of MMP9 and Madcam1 in B16-F10 cells impeded epithelial-mesenchymal transition and inhibited subcutaneous tumor growth and formation of metastatic lung nodules in vivo. These data suggest TRIM59 expression attenuates the tumor-promoting effect of tumor-associated macrophages, most of which resemble the M2 phenotype. Moreover, they highlight the relevance of TRIM59 in macrophages as a potential regulator of tumor metastasis and suggest TRIM59 could serve as a novel target for cancer immunotherapy.
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Affiliation(s)
- Yuan Tian
- Key Laboratory for Molecular Enzymology and Engineering of the Ministry of Education, College of Life Sciences, Jilin University, Changchun, China.,Department of Immunology, Jilin University, Changchun, China
| | - Yantong Guo
- Key Laboratory of Pathobiology, Ministry of Education, College of Basic Medical Sciences, Jilin University, Changchun, China
| | - Pei Zhu
- Department of Immunology, Jilin University, Changchun, China
| | - Dongxu Zhang
- Department of Immunology, Jilin University, Changchun, China
| | - Shanshan Liu
- Department of Immunology, Jilin University, Changchun, China
| | - Mengyan Tang
- Department of Immunology, Jilin University, Changchun, China
| | - Yuanxin Wang
- Department of Immunology, Jilin University, Changchun, China
| | - Zheng Jin
- Department of Immunology, Jilin University, Changchun, China
| | - Dong Li
- Department of Immunology, Jilin University, Changchun, China
| | - Dongmei Yan
- Department of Immunology, Jilin University, Changchun, China
| | - Guiying Li
- Key Laboratory for Molecular Enzymology and Engineering of the Ministry of Education, College of Life Sciences, Jilin University, Changchun, China
| | - Xun Zhu
- Key Laboratory for Molecular Enzymology and Engineering of the Ministry of Education, College of Life Sciences, Jilin University, Changchun, China
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CDK5-dependent phosphorylation and nuclear translocation of TRIM59 promotes macroH2A1 ubiquitination and tumorigenicity. Nat Commun 2019; 10:4013. [PMID: 31488827 PMCID: PMC6728346 DOI: 10.1038/s41467-019-12001-2] [Citation(s) in RCA: 43] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2018] [Accepted: 08/13/2019] [Indexed: 12/27/2022] Open
Abstract
Despite the development of adjuvant therapies, glioblastoma (GBM) patients remain incurable, thus justifying the urgent need of new therapies. CDK5 plays a critical role in GBM and is a potential target for GBM. However, the mechanism by which CDK5 promotes GBM tumorigenicity remains largely unknown. Here, we identify TRIM59 as a substrate of CDK5. EGFR-activated CDK5 directly binds to and phosphorylates TRIM59, a ubiquitin ligase at serine 308, which recruits PIN1 for cis–trans isomerization of TRIM59, leading to TRIM59 binding to importin α5 and nuclear translocation. Nuclear TRIM59 induces ubiquitination and degradation of the tumor suppressive histone variant macroH2A1, leading to enhanced STAT3 signaling activation and tumorigenicity. These findings are confirmed by inhibition of CDK5-activated TRIM59 activity that results in suppression of intracranial tumor growth. Correlative expressions of the components of this pathway are clinically prognostic. Our findings suggest targeting CDK5/TRIM59 signaling axis as a putative strategy for treating GBM. CDK5 is known to drive glioblastoma tumorigenicity but the downstream molecular mechanism is unknown. Here, the authors show that CDK5 activates STAT3 signalling via the nuclear import of TRIM59, which leads to the degradation of the tumour suppressor macroH2A1.
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41
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Shi JW, Huang Y. Screen and classify genes on bladder cancer associated with metastasis. GENE REPORTS 2019. [DOI: 10.1016/j.genrep.2019.100430] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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42
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Langevin C, Levraud JP, Boudinot P. Fish antiviral tripartite motif (TRIM) proteins. FISH & SHELLFISH IMMUNOLOGY 2019; 86:724-733. [PMID: 30550990 DOI: 10.1016/j.fsi.2018.12.008] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/29/2018] [Revised: 12/03/2018] [Accepted: 12/05/2018] [Indexed: 06/09/2023]
Abstract
Tripartite motif (TRIM) family or RBCC proteins comprises characteristic zinc-binding domains (a RING (R), a B-box type 1 (B1) and a B-box type 2 (B2)) and coiled-coil (CC) domain followed by a C-terminus variable domain. There are about 80 different TRIM proteins in human, but more than 200 in zebrafish with several large gene expansions (ftr >70 genes; btr >30 genes; trim35 > 30 genes). Repertoires of trim genes in fish are variable across fishes, but they have been remarkably diversified independently in a number of species. In mammals, TRIM proteins are involved in antiviral immunity through an astonishing diversity of mechanisms, from direct viral restriction to modulation of immune signaling and more recently autophagy. In fish, the antiviral role of TRIM proteins remains poorly understood. In zebrafish, fish specific TRIMs so called fintrims show a signature of positive selection in the C terminus SPRY domain, reminding features of mammalian antiviral trims such as TRIM5. Expression studies show that a number of trim genes, including many fintrims, can be induced during viral infections, and may play a role in antiviral defence. Some of them trigger antiviral activity in vitro against DNA and RNA viruses, such as FTR83 that also up-regulates the expression of type I IFN in zebrafish larvae. The tissue distribution of TRIM expression suggests that they may be involved in the regionalization of antiviral immunity, providing a particular protection to sensitive areas exposed to invading pathogens.
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Affiliation(s)
- Christelle Langevin
- INRA, Virologie et Immunologie Moléculaires, Université Paris-Saclay, Jouy-en-Josas, France.
| | - Jean-Pierre Levraud
- Institut Pasteur, Macrophages et Développement de l'Immunité, Paris, France; Centre National de la Recherche Scientifique, UMR3738, Paris, France
| | - Pierre Boudinot
- INRA, Virologie et Immunologie Moléculaires, Université Paris-Saclay, Jouy-en-Josas, France.
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Wang Y, Zhou Z, Wang X, Zhang X, Chen Y, Bai J, Di W. TRIM59 Is a Novel Marker of Poor Prognosis and Promotes Malignant Progression of Ovarian Cancer by Inducing Annexin A2 Expression. Int J Biol Sci 2018; 14:2073-2082. [PMID: 30585270 PMCID: PMC6299375 DOI: 10.7150/ijbs.28757] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2018] [Accepted: 09/26/2018] [Indexed: 12/30/2022] Open
Abstract
Ovarian cancer is the fifth common cause of death in woman worldwide. The tripartite motif-containing (TRIM) proteins consist of more than 70 known protein members. Studies have showed that TRIM proteins are involved in cancer and play important roles in cancer cell proliferation, migration, adhesion and metastasis. Recent studies have indicated that TRIM59, as a putative ubiquitin ligase, is up-regulated in some cancers and associated with poor prognosis of gastric cancer. However, the exact roles of TRIM59 in ovarian cancer are still unknown. In this study, we found that TRIM59 expression was increased and positively associated with histological grades (P = 0.000), FIGO stages (P = 0.016), and metastasis (P = 0.027) in ovarian cancer. A integrative data analysis tool revealed that ovarian cancer patients with high TRIM59 expression were correlated with more unfavorable overall and progression-free survival than the rest patients with low TRIM59 expression (P = 0.0024 and P = 7.5×10-6, respectively). Based on the finding in the clinical data, we performed a series of cell line and animal experiments, and found that TRIM59 knockdown could significantly inhibit the ovarian cancer cell proliferation, clone formation, and invasion in vitro and the ovarian cancer growth of the subcutaneous and orthotopic implantation in vivo. Furthermore, TRIM59 was found to interact with Annexin A2 and induce Annexin A2 expression. Our data imply that TRIM59 can serve as a promising prognostic marker and a potential therapeutic target.
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Affiliation(s)
- You Wang
- Department of Obstetrics and Gynecology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200001, China.,Shanghai Key Laboratory of Gynecologic Oncology, Focus Construction Subject of Shanghai Education Department, Shanghai
| | - Zhicheng Zhou
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX 77030, USA
| | - Xinran Wang
- Department of Obstetrics and Gynecology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200001, China.,Shanghai Key Laboratory of Gynecologic Oncology, Focus Construction Subject of Shanghai Education Department, Shanghai
| | - Xuping Zhang
- Cancer Institute, Xuzhou Medical University, Xuzhou 221002, Jiangsu Province, China.,Jiangsu Center for the Collaboration and Innovation of Cancer Biotherapy, Cancer Institute, Xuzhou Medical University, Xuzhou 221002, Jiangsu Province, China
| | - Yansu Chen
- Cancer Institute, Xuzhou Medical University, Xuzhou 221002, Jiangsu Province, China.,Jiangsu Center for the Collaboration and Innovation of Cancer Biotherapy, Cancer Institute, Xuzhou Medical University, Xuzhou 221002, Jiangsu Province, China
| | - Jin Bai
- Cancer Institute, Xuzhou Medical University, Xuzhou 221002, Jiangsu Province, China.,Jiangsu Center for the Collaboration and Innovation of Cancer Biotherapy, Cancer Institute, Xuzhou Medical University, Xuzhou 221002, Jiangsu Province, China
| | - Wen Di
- Department of Obstetrics and Gynecology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200001, China
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Abstract
Innate immunity is traditionally thought of as the first line of defense against pathogens that enter the body. It is typically characterized as a rather weak defense mechanism, designed to restrict pathogen replication until the adaptive immune response generates a tailored response and eliminates the infectious agent. However, intensive research in recent years has resulted in better understanding of innate immunity as well as the discovery of many effector proteins, revealing its numerous powerful mechanisms to defend the host. Furthermore, this research has demonstrated that it is simplistic to strictly separate adaptive and innate immune functions since these two systems often work synergistically rather than sequentially. Here, we provide a broad overview of innate pattern recognition receptors in antiviral defense, with a focus on the TRIM family, and discuss their signaling pathways and mechanisms of action with special emphasis on the intracellular antibody receptor TRIM21.
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Affiliation(s)
| | - Leo C James
- MRC Laboratory of Molecular Biology, Cambridge, United Kingdom.
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45
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Sang Y, Li Y, Song L, Alvarez AA, Zhang W, Lv D, Tang J, Liu F, Chang Z, Hatakeyama S, Hu B, Cheng SY, Feng H. TRIM59 Promotes Gliomagenesis by Inhibiting TC45 Dephosphorylation of STAT3. Cancer Res 2018; 78:1792-1804. [PMID: 29386185 DOI: 10.1158/0008-5472.can-17-2774] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2017] [Revised: 11/21/2017] [Accepted: 01/25/2018] [Indexed: 02/06/2023]
Abstract
Aberrant EGFR signaling is a common driver of glioblastoma (GBM) pathogenesis; however, the downstream effectors that sustain this oncogenic pathway remain unclarified. Here we demonstrate that tripartite motif-containing protein 59 (TRIM59) acts as a new downstream effector of EGFR signaling by regulating STAT3 activation in GBM. EGFR signaling led to TRIM59 upregulation through SOX9 and enhanced the interaction between TRIM59 and nuclear STAT3, which prevents STAT3 dephosphorylation by the nuclear form of T-cell protein tyrosine phosphatase (TC45), thereby maintaining transcriptional activation and promoting tumorigenesis. Silencing TRIM59 suppresses cell proliferation, migration, and orthotopic xenograft brain tumor formation of GBM cells and glioma stem cells. Evaluation of GBM patient samples revealed an association between EGFR activation, TRIM59 expression, STAT3 phosphorylation, and poor prognoses. Our study identifies TRIM59 as a new regulator of oncogenic EGFR/STAT3 signaling and as a potential therapeutic target for GBM patients with EGFR activation.Significance: These findings identify a novel component of the EGFR/STAT3 signaling axis in the regulation of glioma tumorigenesis. Cancer Res; 78(7); 1792-804. ©2018 AACR.
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Affiliation(s)
- Youzhou Sang
- State Key Laboratory of Oncogenes and Related Genes, Renji-Med X Clinical Stem Cell Research Center, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Yanxin Li
- Key Laboratory of Pediatric Hematology and Oncology Ministry of Health, Pediatric Translational Medicine Institute, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
| | - Lina Song
- State Key Laboratory of Oncogenes and Related Genes, Renji-Med X Clinical Stem Cell Research Center, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Angel A Alvarez
- Department of Neurology, Northwestern Brain Tumor Institute, The Robert H. Lurie Comprehensive Cancer Center, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Weiwei Zhang
- State Key Laboratory of Oncogenes and Related Genes, Renji-Med X Clinical Stem Cell Research Center, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Deguan Lv
- State Key Laboratory of Oncogenes and Related Genes, Renji-Med X Clinical Stem Cell Research Center, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Jianming Tang
- State Key Laboratory of Oncogenes and Related Genes, Renji-Med X Clinical Stem Cell Research Center, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Feng Liu
- National Research Center for Translational Medicine (Shanghai), State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhijie Chang
- School of Medicine, Tsinghua University, Beijing, China
| | - Shigetsugu Hatakeyama
- Department of Biochemistry, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Hokkaido, Japan
| | - Bo Hu
- Department of Neurology, Northwestern Brain Tumor Institute, The Robert H. Lurie Comprehensive Cancer Center, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Shi-Yuan Cheng
- Department of Neurology, Northwestern Brain Tumor Institute, The Robert H. Lurie Comprehensive Cancer Center, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Haizhong Feng
- State Key Laboratory of Oncogenes and Related Genes, Renji-Med X Clinical Stem Cell Research Center, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
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The TRIMendous Role of TRIMs in Virus-Host Interactions. Vaccines (Basel) 2017; 5:vaccines5030023. [PMID: 28829373 PMCID: PMC5620554 DOI: 10.3390/vaccines5030023] [Citation(s) in RCA: 80] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2017] [Revised: 08/09/2017] [Accepted: 08/17/2017] [Indexed: 12/23/2022] Open
Abstract
The innate antiviral response is integral in protecting the host against virus infection. Many proteins regulate these signaling pathways including ubiquitin enzymes. The ubiquitin-activating (E1), -conjugating (E2), and -ligating (E3) enzymes work together to link ubiquitin, a small protein, onto other ubiquitin molecules or target proteins to mediate various effector functions. The tripartite motif (TRIM) protein family is a group of E3 ligases implicated in the regulation of a variety of cellular functions including cell cycle progression, autophagy, and innate immunity. Many antiviral signaling pathways, including type-I interferon and NF-κB, are TRIM-regulated, thus influencing the course of infection. Additionally, several TRIMs directly restrict viral replication either through proteasome-mediated degradation of viral proteins or by interfering with different steps of the viral replication cycle. In addition, new studies suggest that TRIMs can exert their effector functions via the synthesis of unconventional polyubiquitin chains, including unanchored (non-covalently attached) polyubiquitin chains. TRIM-conferred viral inhibition has selected for viruses that encode direct and indirect TRIM antagonists. Furthermore, new evidence suggests that the same antagonists encoded by viruses may hijack TRIM proteins to directly promote virus replication. Here, we describe numerous virus–TRIM interactions and novel roles of TRIMs during virus infections.
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Wu W, Chen J, Wu J, Lin J, Yang S, Yu H. Knockdown of tripartite motif-59 inhibits the malignant processes in human colorectal cancer cells. Oncol Rep 2017; 38:2480-2488. [PMID: 28849218 DOI: 10.3892/or.2017.5896] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2017] [Accepted: 08/01/2017] [Indexed: 11/06/2022] Open
Abstract
The aim of the present study was to clarify the clinical implication and functional role of tripartite motif-59 (TRIM59) in colorectal carcinoma (CRC) and explore the underlying mechanism of aberrant high expression of TRIM59 in cancer. We validated that TRIM59 was upregulated in CRC samples, and also demonstrated that its upregulation was associated with advanced tumor stage of CRC patients; and its high expression indicated shorter overall survival and faster recurrence. Knockdown of TRIM59 significantly inhibited cell proliferation, migration and invasion. Cell cycle analysis showed that TRIM59-depleted cells accumulated in S-phase. In addition, the cell cycle regulators CDC25C, cyclin B1 and cyclin D1 were decreased by TRIM59 siRNA mediated knockdown. Furthermore, the depletion of TRIM59 promoted apoptosis in cell culture as indicated by the cleavage of caspase-3 and PARP when TRIM59 was depleted. These results suggested that TRIM59 is upregulated in human colorectal tumors compared with non-tumor tissues. The level of TRIM59 is correlated with malignant features of CRC and may serve as potential therapeutic and preventive strategies for CRC.
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Affiliation(s)
- Wei Wu
- Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, P.R. China
| | - Jingdi Chen
- 73th Contingent, 95969 Troops, The Airborne Force of Chinese PLA, Wuhan, Hubei 430300, P.R. China
| | - Jicheng Wu
- Tumor Basic and Translational Laboratory, The First Affiliated Hospital of Jinzhou Medical University, Jinzhou, Liaoning 121000, P.R. China
| | - Jun Lin
- Department of Gastroenterology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei 430071, P.R. China
| | - Sheng Yang
- Department of Gastroenterology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei 430071, P.R. China
| | - Honggang Yu
- Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, P.R. China
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Wang Y, Li J, Huang Y, Dai X, Liu Y, Liu Z, Wang Y, Wang N, Zhang P. Tripartite motif-containing 28 bridges endothelial inflammation and angiogenic activity by retaining expression of TNFR-1 and -2 and VEGFR2 in endothelial cells. FASEB J 2017; 31:2026-2036. [PMID: 28159803 DOI: 10.1096/fj.201600988rr] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2016] [Accepted: 01/17/2017] [Indexed: 11/11/2022]
Abstract
Angiogenesis and inflammation are regarded as important factors in the pathogenesis of chronic inflammation, cancer, and wound healing. Recent studies have supported prior evidence that common signaling pathways are involved in angiogenesis and inflammatory responses; however, key factors controlling both processes remain unclear. Although tripartite motif-containing (TRIM)-28 is known to have an immunosuppressive role in immune cells, its expression level and role in endothelial cells (ECs) are still unclear. In this study, we investigated the role of TRIM28 in inflammatory responses and angiogenic activity of ECs for the first time. We showed that TRIM28 is the most abundant TRIM family member and is localized in nuclei of ECs. Small interfering RNA-mediated knockdown of TRIM28 strikingly suppressed expression of TNF receptor (TNFR)-1 and -2, decreased TNF-α-induced phosphorylation of IKKα/β and IκBα and degradation of IκBα and nuclear translocation of p65, and suppressed basal level and TNF-α-induced expression of chemokines and adhesion molecules, including VCAM-1, IL-6, ICAM-1, E-selectin, and monocyte chemoattractant protein (MCP)-1. Unexpectedly, IL-8 was potentiated by TRIM28 knockdown in ECs in an NF-κB-inducing kinase-dependent manner. Meanwhile, knockdown of TRIM28 inhibited expression of VEGF receptor 2 and suppressed VEGF-induced proliferation and tube formation by ECs. Finally, knockdown of TRIM28 suppressed recruitment of ECs in vivo in a murine synthetic basement membrane model. In summary, we found that TRIM28 acts as a central factor in controlling endothelial inflammatory responses and angiogenic activities by retaining expression of TNFR-1 and -2 and VEGF receptor 2 in ECs.-Wang, Y., Li, J., Huang Y., Dai, X., Liu, Y., Liu, Z., Wang, Y., Wang, N., Zhang, P. Tripartite motif-containing 28 bridges endothelial inflammation and angiogenic activity by retaining expression of TNFR1 and -2 and VEGFR2 in endothelial cells.
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Affiliation(s)
- Yinfang Wang
- Central Laboratory, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Jinping Li
- Central Laboratory, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Yitong Huang
- Central Laboratory, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Xiuqin Dai
- Central Laboratory, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Youbin Liu
- Department of Cardiovascular Medicine, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Zongjun Liu
- Department of Cardiovascular Medicine, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Ying Wang
- Department of Biochemistry and Molecular Biology, Mayo Clinic, Jacksonville, Florida, USA; and
| | - Nanping Wang
- The Advanced Institute for Medical Sciences, Dalian Medical University, Dalian, China
| | - Peng Zhang
- Central Laboratory, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China;
- Department of Cardiovascular Medicine, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
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Hatakeyama S. TRIM Family Proteins: Roles in Autophagy, Immunity, and Carcinogenesis. Trends Biochem Sci 2017; 42:297-311. [DOI: 10.1016/j.tibs.2017.01.002] [Citation(s) in RCA: 534] [Impact Index Per Article: 76.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2016] [Revised: 12/28/2016] [Accepted: 01/02/2017] [Indexed: 01/19/2023]
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Chen X, Hu Y, Shan L, Yu X, Hao K, Wang GX. Magnolol and honokiol from Magnolia officinalis enhanced antiviral immune responses against grass carp reovirus in Ctenopharyngodon idella kidney cells. FISH & SHELLFISH IMMUNOLOGY 2017; 63:245-254. [PMID: 28232195 DOI: 10.1016/j.fsi.2017.02.020] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/09/2016] [Revised: 01/04/2017] [Accepted: 02/16/2017] [Indexed: 06/06/2023]
Abstract
Medicinal plants have been widely used for a long history. Exploration of pharmacologically active compounds from medicinal plants present a broad prevalent of application. By examining viral mRNA expression in GCRV-infected Ctenopharyngodon idella kidney (CIK) cells treated with thirty kinds of plant extracts, we identified Magnolia officinalis Rehd et Wils. was able to preferably suppress viral replication. Further studies demonstrated that the main ingredients of magnolia bark, namely, magnolol and honokiol presented protective pharmacological function when treated GCRV-infected CIK cells with a concentration of 2.00 μg/ml and 1.25 μg/ml, respectively. Furthermore, reverse transcript quantitative polymerase chain reaction (RT-qPCR) and western blot showed that both magnolol and honokiol were efficient to restrain the replication of GCRV in CIK cells at non-toxic concentration (2.51 ± 0.51 μg/ml for magnolol, and 3.18 ± 0.61 μg/ml for honokiol). Moreover, it was found that magnolol and honokiol promoted the expression of immune-related genes. Magnolol obviously significantly increased the expression of interferon (IFN) regulatory factor (IRF)7 rather than that of IRF3 in the GCRV-infected cells, leading to the activation of type I IFN (IFN-I). Simultaneously, magnolol drastically facilitated the expression of interleukin (IL)-1β, but failed to induce the molecules in nuclear factor (NF)-κB pathways. Differently, honokiol strikingly motivated not only the expression of IL-1β, but also those of tumor necrosis factor α (TNFα) and NF-κB. Interestingly, though honokiol motivated the expression of IFN-β promoter stimulator 1 (IPS-1), IRF3 and IRF7, it failed to up-regulate the expression of IFN-I, indicating that honokiol enhanced the host innate antiviral response to GCRV infection via NF-κB pathways. Collectively, the present study revealed that magnolol and honokiol facilitated the expression of innate immune-related genes to strengthen the innate immune signaling responses to resist GCRV infection, which contributed to understanding the mechanisms by which small-molecule drugs possessed antiviral activities. In addition, these results lay a foundation for the development of broad-spectrum antiviral compounds in aquaculture industry.
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Affiliation(s)
- Xiaohui Chen
- College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Yang Hu
- College of Science, Northwest A&F University, Yangling 712100, China
| | - Lipeng Shan
- College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Xiaobo Yu
- College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Kai Hao
- College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Gao-Xue Wang
- College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China.
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