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Gao H, Gao X, Liu X, Luo Y, Zhong J, Liu J, Yan L, Wang H, Gong L, Zhang G, Zheng Z, Sun Y. African swine fever virus maintains de novo global cellular protein synthesis and inhibits stress granules formation via dephosphorylating eIF2α. Vet Microbiol 2024; 290:109988. [PMID: 38244395 DOI: 10.1016/j.vetmic.2024.109988] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Revised: 01/04/2024] [Accepted: 01/06/2024] [Indexed: 01/22/2024]
Abstract
African swine fever virus (ASFV) has caused enormous economic losses since its first reported detection, and there is still no effective vaccines or drug treatment. During infection, viruses may employ various strategies, such as regulating the host endoplasmic reticulum stress/unfolded protein response or the formation of stress granules (SGs), to form an optimal environment for virus replication. However, how ASFV infection regulates host endoplasmic reticulum stress, eIF2α-regulated protein synthesis, and the formation of SGs remains unclear. Here, we evaluated the activation of ER stress and its three downstream axes during ASFV infection and identified a powerful dephosphorylation of eIF2α by ASFV ex vivo. This strong dephosphorylation property could maintain the efficiency of eIF2α-mediated de novo global protein synthesis, thus ensuring efficient viral protein synthesis at early stage. In addition, the powerful dephosphorylation of eIF2α by ASFV upon infection could also inhibit the formation of SGs induced by sodium arsenite. In addition, a specific eIF2α dephosphorylation inhibitor, salubrinal, could partially counteract ASFV-mediated eIF2α dephosphorylation and inhibit viral replication. Our results provide new insights into the areas of ASFV`s escape from host immunity and hijacking of the host protein translation system.
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Affiliation(s)
- Han Gao
- College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China; Guangdong Provincial Key Laboratory of Zoonosis Prevention and Control, College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China; African Swine Fever Regional Laboratory of China (Guangzhou), Guangzhou 510642, China; Maoming Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Maoming 525000, China; Key Laboratory of Animal Vaccine Development, Ministry of Agriculture and Rural Affairs, Guangzhou 510000, China
| | - Xiaopeng Gao
- College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China; Guangdong Provincial Key Laboratory of Zoonosis Prevention and Control, College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China; African Swine Fever Regional Laboratory of China (Guangzhou), Guangzhou 510642, China; Maoming Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Maoming 525000, China
| | - Xing Liu
- College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China; Guangdong Provincial Key Laboratory of Zoonosis Prevention and Control, College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China; African Swine Fever Regional Laboratory of China (Guangzhou), Guangzhou 510642, China; Maoming Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Maoming 525000, China; Key Laboratory of Animal Vaccine Development, Ministry of Agriculture and Rural Affairs, Guangzhou 510000, China
| | - Yizhuo Luo
- College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China; Guangdong Provincial Key Laboratory of Zoonosis Prevention and Control, College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China; African Swine Fever Regional Laboratory of China (Guangzhou), Guangzhou 510642, China; Maoming Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Maoming 525000, China; Key Laboratory of Animal Vaccine Development, Ministry of Agriculture and Rural Affairs, Guangzhou 510000, China
| | - Jianhao Zhong
- College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China; Guangdong Provincial Key Laboratory of Zoonosis Prevention and Control, College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China; African Swine Fever Regional Laboratory of China (Guangzhou), Guangzhou 510642, China; Maoming Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Maoming 525000, China; Key Laboratory of Animal Vaccine Development, Ministry of Agriculture and Rural Affairs, Guangzhou 510000, China
| | - Jing Liu
- College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China; Guangdong Provincial Key Laboratory of Zoonosis Prevention and Control, College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China; African Swine Fever Regional Laboratory of China (Guangzhou), Guangzhou 510642, China; Maoming Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Maoming 525000, China; Key Laboratory of Animal Vaccine Development, Ministry of Agriculture and Rural Affairs, Guangzhou 510000, China
| | - Luling Yan
- College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China; Guangdong Provincial Key Laboratory of Zoonosis Prevention and Control, College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China; African Swine Fever Regional Laboratory of China (Guangzhou), Guangzhou 510642, China; Maoming Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Maoming 525000, China; Key Laboratory of Animal Vaccine Development, Ministry of Agriculture and Rural Affairs, Guangzhou 510000, China
| | - Heng Wang
- College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China; Guangdong Provincial Key Laboratory of Zoonosis Prevention and Control, College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China; African Swine Fever Regional Laboratory of China (Guangzhou), Guangzhou 510642, China; Maoming Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Maoming 525000, China; Key Laboratory of Animal Vaccine Development, Ministry of Agriculture and Rural Affairs, Guangzhou 510000, China
| | - Lang Gong
- College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China; Guangdong Provincial Key Laboratory of Zoonosis Prevention and Control, College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China; African Swine Fever Regional Laboratory of China (Guangzhou), Guangzhou 510642, China; Maoming Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Maoming 525000, China
| | - Guihong Zhang
- College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China; Guangdong Provincial Key Laboratory of Zoonosis Prevention and Control, College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China; African Swine Fever Regional Laboratory of China (Guangzhou), Guangzhou 510642, China; Maoming Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Maoming 525000, China; Key Laboratory of Animal Vaccine Development, Ministry of Agriculture and Rural Affairs, Guangzhou 510000, China
| | - Zezhong Zheng
- College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China; Guangdong Provincial Key Laboratory of Zoonosis Prevention and Control, College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China; African Swine Fever Regional Laboratory of China (Guangzhou), Guangzhou 510642, China; Maoming Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Maoming 525000, China; Key Laboratory of Animal Vaccine Development, Ministry of Agriculture and Rural Affairs, Guangzhou 510000, China.
| | - Yankuo Sun
- College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China; Guangdong Provincial Key Laboratory of Zoonosis Prevention and Control, College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China; African Swine Fever Regional Laboratory of China (Guangzhou), Guangzhou 510642, China; Maoming Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Maoming 525000, China; Key Laboratory of Animal Vaccine Development, Ministry of Agriculture and Rural Affairs, Guangzhou 510000, China.
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2
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Haque S, Kumar P, Mathkor DM, Bantun F, Jalal NA, Mufti AH, Prakash A, Kumar V. In silico evaluation of the inhibitory potential of nucleocapsid inhibitors of SARS-CoV-2: a binding and energetic perspective. J Biomol Struct Dyn 2023; 41:9797-9807. [PMID: 36379684 DOI: 10.1080/07391102.2022.2146752] [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: 08/17/2022] [Accepted: 11/07/2022] [Indexed: 11/17/2022]
Abstract
The COVID-19 outbreak brought on by the SARS-CoV-2 virus continued to infect a sizable population worldwide. The SARS-CoV-2 nucleocapsid (N) protein is the most conserved RNA-binding structural protein and is a desirable target because of its involvement in viral transcription and replication. Based on this aspect, this study focused to repurpose antiviral compounds approved or in development for treating COVID-19. The inhibitors chosen are either FDA-approved or are currently being studied in clinical trials against COVID-19. Initially, they were designed to target stress granules and other RNA biology. We have utilized structure-based molecular docking and all-atom molecular dynamics (MD) simulation approach to investigate in detail the binding energy and binding modes of the different anti-N inhibitors to N protein. The result showed that five drugs including Silmitasterib, Ninetanidinb, Ternatin, Luteolin, Fedratinib, PJ34, and Zotatafin were found interacting with RNA binding sites as well as to predicted protein interface with higher binding energy. Overall, drug binding increases the stability of the complex with maximum stability found in the order, Silmitasertib > PJ34 > Zotatatafin. In addition, the frustration changes due to drug binding brings a decrease in local frustration and this decrease is mainly observed in α-helix, β3, β5, and β6 strands and are important for drug binding. Our in-silico data suggest that an effective interaction occurs for some of the tested drugs and prompt their further validation to reduce the rapid outspreading of SARS-CoV-2.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Shafiul Haque
- Research and Scientific Studies Unit, College of Nursing and Allied Health Sciences, Jazan University, Jazan, Saudi Arabia
| | - Pawan Kumar
- School of Computational & Integrative Sciences, Jawaharlal Nehru University, New Delhi, India
| | - Darin Mansor Mathkor
- Research and Scientific Studies Unit, College of Nursing and Allied Health Sciences, Jazan University, Jazan, Saudi Arabia
| | - Farkad Bantun
- Department of Microbiology, Faculty of Medicine, Umm Al-Qura University, Makkah, Saudi Arabia
| | - Naif A Jalal
- Department of Microbiology, Faculty of Medicine, Umm Al-Qura University, Makkah, Saudi Arabia
| | - Ahmad Hasan Mufti
- Medical Genetics Department, Faculty of Medicine, Umm Al-Qura University, Makkah, Saudi Arabia
| | - Amresh Prakash
- Amity Institute of Integrative Sciences and Health, Amity University Haryana, Gurgaon, India
| | - Vijay Kumar
- Amity Institute of Neuropsychology & Neurosciences, Amity University, Noida, Uttar Pradesh, India
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3
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Guan Y, Wang Y, Fu X, Bai G, Li X, Mao J, Yan Y, Hu L. Multiple functions of stress granules in viral infection at a glance. Front Microbiol 2023; 14:1138864. [PMID: 36937261 PMCID: PMC10014870 DOI: 10.3389/fmicb.2023.1138864] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Accepted: 02/08/2023] [Indexed: 03/05/2023] Open
Abstract
Stress granules (SGs) are distinct RNA granules induced by various stresses, which are evolutionarily conserved across species. In general, SGs act as a conservative and essential self-protection mechanism during stress responses. Viruses have a long evolutionary history and viral infections can trigger a series of cellular stress responses, which may interact with SG formation. Targeting SGs is believed as one of the critical and conservative measures for viruses to tackle the inhibition of host cells. In this systematic review, we have summarized the role of SGs in viral infection and categorized their relationships into three tables, with a particular focus on Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection. Moreover, we have outlined several kinds of drugs targeting SGs according to different pathways, most of which are potentially effective against SARS-CoV-2. We believe this review would offer a new view for the researchers and clinicians to attempt to develop more efficacious treatments for virus infection, particularly for the treatment of SARS-CoV-2 infection.
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Affiliation(s)
- Yuelin Guan
- The Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Yan Wang
- The Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Xudong Fu
- Center of Stem Cell and Regenerative Medicine, and Bone Marrow Transplantation Center of the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Zhejiang Laboratory for Systems and Precision Medicine, Zhejiang University Medical Center, Hangzhou, Zhejiang, China
| | - Guannan Bai
- The Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Xue Li
- Department of Big Data in Health Science School of Public Health and The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Jianhua Mao
- The Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Yongbin Yan
- State Key Laboratory of Membrane Biology, School of Life Sciences, Tsinghua University, Beijing, China
- *Correspondence: Yongbin Yan,
| | - Lidan Hu
- The Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
- Lidan Hu,
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4
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Wang L, Guzmán M, Sola I, Enjuanes L, Zuñiga S. Cytoplasmic ribonucleoprotein complexes, RNA helicases and coronavirus infection. FRONTIERS IN VIROLOGY 2022. [DOI: 10.3389/fviro.2022.1078454] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
RNA metabolism in the eukaryotic cell includes the formation of ribonucleoprotein complexes (RNPs) that, depending on their protein components, have a different function. Cytoplasmic RNPs, such as stress granules (SGs) or P-bodies (PBs) are quite relevant during infections modulating viral and cellular RNA expression and as key players in the host cell antiviral response. RNA helicases are abundant components of RNPs and could have a significant effect on viral infection. This review focuses in the role that RNPs and RNA helicases have during coronavirus (CoVs) infection. CoVs are emerging highly pathogenic viruses with a large single-stranded RNA genome. During CoV infection, a complex network of RNA-protein interactions in different RNP structures is established. In general, RNA helicases and RNPs have an antiviral function, but there is limited knowledge on whether the viral protein interactions with cell components are mediators of this antiviral effect or are part of the CoV antiviral counteraction mechanism. Additional data is needed to elucidate the role of these RNA-protein interactions during CoV infection and their potential contribution to viral replication or pathogenesis.
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Zhang T, Su S, Altouma V, Zhu X, Xue Y, Shen W, Wilgenburg B, Wang W. Topoisomerase 3b is dispensable for replication of a positive-sense RNA virus--murine coronavirus. Antiviral Res 2022; 208:105451. [PMID: 36328071 PMCID: PMC9618458 DOI: 10.1016/j.antiviral.2022.105451] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Revised: 10/17/2022] [Accepted: 10/21/2022] [Indexed: 11/02/2022]
Abstract
A recent study demonstrated that a DNA-RNA dual-activity topoisomerase complex, TOP3B-TDRD3, is required for normal replication of positive-sense RNA viruses, including several human flaviviruses and coronaviruses; and the authors proposed that TOP3B is a target of antiviral drugs. Here we examined this hypothesis by investigating whether inactivation of Top3b can inhibit the replication of a mouse coronavirus, MHV, using cell lines and mice that are inactivated of Top3b or Tdrd3. We found that Top3b-KO or Tdrd3-KO cell lines generated by different CRISPR-CAS9 guide RNAs have variable effects on MHV replication. In addition, we did not find significant changes of MHV replication in brains or lungs in Top3B-KO mice. Moreover, immunostaining showed that Top3b proteins are not co-localized with MHV replication complexes but rather, localized in stress granules in the MHV-infected cells. Our results suggest that Top3b does not have a universal role in promoting replication of positive-sense RNA virus, and cautions should be taken when targeting it to develop anti-viral drugs.
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Affiliation(s)
- Tianyi Zhang
- Laboratory of Genetics and Genomics, National Institute on Aging, Intramural Research Program, National Institutes of Health, Baltimore, MD, 21224, USA
| | - Shuaikun Su
- Laboratory of Genetics and Genomics, National Institute on Aging, Intramural Research Program, National Institutes of Health, Baltimore, MD, 21224, USA
| | - Valerie Altouma
- Laboratory of Genetics and Genomics, National Institute on Aging, Intramural Research Program, National Institutes of Health, Baltimore, MD, 21224, USA
| | - Xingliang Zhu
- Laboratory of Genetics and Genomics, National Institute on Aging, Intramural Research Program, National Institutes of Health, Baltimore, MD, 21224, USA
| | - Yutong Xue
- Laboratory of Genetics and Genomics, National Institute on Aging, Intramural Research Program, National Institutes of Health, Baltimore, MD, 21224, USA
| | - Weiping Shen
- Laboratory of Genetics and Genomics, National Institute on Aging, Intramural Research Program, National Institutes of Health, Baltimore, MD, 21224, USA
| | - Brian Wilgenburg
- Comparative Medicine Section, National Institute on Aging, Intramural Research Program, National Institutes of Health, Baltimore, MD, 21224, USA
| | - Weidong Wang
- Laboratory of Genetics and Genomics, National Institute on Aging, Intramural Research Program, National Institutes of Health, Baltimore, MD, 21224, USA.
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Feng H, Zhang K, Zhang K, Guo Z, Liu Q, Wang L, Wang X, Qiu Z, Wang G, Zhang J, Li J. Antiviral activity and underlying mechanisms of Baicalin against avian infectious bronchitis virus in vitro. Avian Pathol 2022; 51:574-589. [PMID: 35917182 DOI: 10.1080/03079457.2022.2109453] [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: 10/31/2022]
Abstract
Baicalin, a flavonoid compound extracted from the dry root of Scutellaria baicalensis Georgi, has been shown to have anti-inflammation, anti-viral, anti-bacterial, and immunomodulatory activity. However, the effect of baicalin against avian infectious bronchitis virus (IBV) remains unknown. The purpose of this study was to investigate the anti-IBV activity and underlying mechanism of baicalin in vitro. The results showed that baicalin has a direct virucidal effect but no prophylactic effect on IBV infection. The mRNA and protein of IBV N were decreased obviously when IBV-infected cells were treated with baicalin during the multiple stages of the virus replication cycle, including viral adsorption, invasion, internalization, and release. Stress granule (SG) formation resulted from the increase of G3BP1 and the phosphorylation of the PKR/eIF2α due to the treatment of IBV-infected cells with baicalin. The inhibitory activity of baicalin on IBV replication was increased when G3BP1 expression was inhibited, and the down-regulation of G3BP1 expression occurred when the expression of PKR and eIF2α was inhibited. These findings revealed that baicalin activates phosphorylation of PKR/eIF2α pathway and induces SG formation by targeting G3BP1, initiating the antiviral response to suppress IBV replication on Vero cell. The results suggest that baicalin is a promising candidate drug to treat or prevent IBV infection.
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Affiliation(s)
- Haipeng Feng
- Engineering & Technology Research Center of Traditional Chinese Veterinary Medicine of Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, Gansu 730050, China (F.H.);(K.Z.);(K.Z.); (Z.G.);(Q.L.);(L.W.);(X.W.);(Z.Q.);;(W.G.)
| | - Kai Zhang
- Engineering & Technology Research Center of Traditional Chinese Veterinary Medicine of Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, Gansu 730050, China (F.H.);(K.Z.);(K.Z.); (Z.G.);(Q.L.);(L.W.);(X.W.);(Z.Q.);;(W.G.)
| | - Kang Zhang
- Engineering & Technology Research Center of Traditional Chinese Veterinary Medicine of Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, Gansu 730050, China (F.H.);(K.Z.);(K.Z.); (Z.G.);(Q.L.);(L.W.);(X.W.);(Z.Q.);;(W.G.)
| | - Zhiting Guo
- Engineering & Technology Research Center of Traditional Chinese Veterinary Medicine of Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, Gansu 730050, China (F.H.);(K.Z.);(K.Z.); (Z.G.);(Q.L.);(L.W.);(X.W.);(Z.Q.);;(W.G.)
| | - Qin Liu
- Engineering & Technology Research Center of Traditional Chinese Veterinary Medicine of Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, Gansu 730050, China (F.H.);(K.Z.);(K.Z.); (Z.G.);(Q.L.);(L.W.);(X.W.);(Z.Q.);;(W.G.)
| | - Lei Wang
- Engineering & Technology Research Center of Traditional Chinese Veterinary Medicine of Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, Gansu 730050, China (F.H.);(K.Z.);(K.Z.); (Z.G.);(Q.L.);(L.W.);(X.W.);(Z.Q.);;(W.G.)
| | - Xuezhi Wang
- Engineering & Technology Research Center of Traditional Chinese Veterinary Medicine of Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, Gansu 730050, China (F.H.);(K.Z.);(K.Z.); (Z.G.);(Q.L.);(L.W.);(X.W.);(Z.Q.);;(W.G.)
| | - Zhengying Qiu
- Engineering & Technology Research Center of Traditional Chinese Veterinary Medicine of Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, Gansu 730050, China (F.H.);(K.Z.);(K.Z.); (Z.G.);(Q.L.);(L.W.);(X.W.);(Z.Q.);;(W.G.)
| | - Guibo Wang
- Engineering & Technology Research Center of Traditional Chinese Veterinary Medicine of Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, Gansu 730050, China (F.H.);(K.Z.);(K.Z.); (Z.G.);(Q.L.);(L.W.);(X.W.);(Z.Q.);;(W.G.)
| | - Jingyan Zhang
- Engineering & Technology Research Center of Traditional Chinese Veterinary Medicine of Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, Gansu 730050, China (F.H.);(K.Z.);(K.Z.); (Z.G.);(Q.L.);(L.W.);(X.W.);(Z.Q.);;(W.G.)
| | - Jianxi Li
- Engineering & Technology Research Center of Traditional Chinese Veterinary Medicine of Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, Gansu 730050, China (F.H.);(K.Z.);(K.Z.); (Z.G.);(Q.L.);(L.W.);(X.W.);(Z.Q.);;(W.G.)
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7
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Kleer M, Mulloy RP, Robinson CA, Evseev D, Bui-Marinos MP, Castle EL, Banerjee A, Mubareka S, Mossman K, Corcoran JA. Human coronaviruses disassemble processing bodies. PLoS Pathog 2022; 18:e1010724. [PMID: 35998203 PMCID: PMC9439236 DOI: 10.1371/journal.ppat.1010724] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Revised: 09/02/2022] [Accepted: 07/04/2022] [Indexed: 11/21/2022] Open
Abstract
A dysregulated proinflammatory cytokine response is characteristic of severe coronavirus infections caused by SARS-CoV-2, yet our understanding of the underlying mechanism responsible for this imbalanced immune response remains incomplete. Processing bodies (PBs) are cytoplasmic membraneless ribonucleoprotein granules that control innate immune responses by mediating the constitutive decay or suppression of mRNA transcripts, including many that encode proinflammatory cytokines. PB formation promotes turnover or suppression of cytokine RNAs, whereas PB disassembly corresponds with the increased stability and/or translation of these cytokine RNAs. Many viruses cause PB disassembly, an event that can be viewed as a switch that rapidly relieves cytokine RNA repression and permits the infected cell to respond to viral infection. Prior to this submission, no information was known about how human coronaviruses (CoVs) impacted PBs. Here, we show SARS-CoV-2 and the common cold CoVs, OC43 and 229E, induced PB loss. We screened a SARS-CoV-2 gene library and identified that expression of the viral nucleocapsid (N) protein from SARS-CoV-2 was sufficient to mediate PB disassembly. RNA fluorescent in situ hybridization revealed that transcripts encoding TNF and IL-6 localized to PBs in control cells. PB loss correlated with the increased cytoplasmic localization of these transcripts in SARS-CoV-2 N protein-expressing cells. Ectopic expression of the N proteins from five other human coronaviruses (OC43, MERS, 229E, NL63 and SARS-CoV) did not cause significant PB disassembly, suggesting that this feature is unique to SARS-CoV-2 N protein. These data suggest that SARS-CoV-2-mediated PB disassembly contributes to the dysregulation of proinflammatory cytokine production observed during severe SARS-CoV-2 infection.
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Affiliation(s)
- Mariel Kleer
- Microbiology, Immunology and Infectious Diseases Department, University of Calgary, Calgary, Alberta, Canada
- Charbonneau Cancer Research Institute, University of Calgary, Calgary, Alberta, Canada
- Snyder Institute for Chronic Diseases, University of Calgary, Calgary, Alberta, Canada
| | - Rory P. Mulloy
- Microbiology, Immunology and Infectious Diseases Department, University of Calgary, Calgary, Alberta, Canada
- Charbonneau Cancer Research Institute, University of Calgary, Calgary, Alberta, Canada
- Snyder Institute for Chronic Diseases, University of Calgary, Calgary, Alberta, Canada
| | - Carolyn-Ann Robinson
- Microbiology, Immunology and Infectious Diseases Department, University of Calgary, Calgary, Alberta, Canada
- Charbonneau Cancer Research Institute, University of Calgary, Calgary, Alberta, Canada
- Snyder Institute for Chronic Diseases, University of Calgary, Calgary, Alberta, Canada
| | - Danyel Evseev
- Microbiology, Immunology and Infectious Diseases Department, University of Calgary, Calgary, Alberta, Canada
- Charbonneau Cancer Research Institute, University of Calgary, Calgary, Alberta, Canada
- Snyder Institute for Chronic Diseases, University of Calgary, Calgary, Alberta, Canada
| | - Maxwell P. Bui-Marinos
- Microbiology, Immunology and Infectious Diseases Department, University of Calgary, Calgary, Alberta, Canada
- Charbonneau Cancer Research Institute, University of Calgary, Calgary, Alberta, Canada
- Snyder Institute for Chronic Diseases, University of Calgary, Calgary, Alberta, Canada
| | - Elizabeth L. Castle
- School of Biomedical Engineering, University of British Columbia, Vancouver, British Columbia, Canada
| | - Arinjay Banerjee
- Vaccine and Infectious Disease Organization, University of Saskatchewan; Saskatoon, Saskatchewan, Canada
- Department of Veterinary Microbiology, Western College of Veterinary Medicine, University of Saskatchewan; Saskatoon, Saskatchewan, Canada
- Department of Biology, University of Waterloo; Waterloo, Ontario, Canada
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
| | - Samira Mubareka
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
- Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Karen Mossman
- Department of Medicine, Master University, Hamilton, Ontario, Canada
- Institute for Infectious Disease Research, McMaster University, Hamilton, Ontario, Canada
| | - Jennifer A. Corcoran
- Microbiology, Immunology and Infectious Diseases Department, University of Calgary, Calgary, Alberta, Canada
- Charbonneau Cancer Research Institute, University of Calgary, Calgary, Alberta, Canada
- Snyder Institute for Chronic Diseases, University of Calgary, Calgary, Alberta, Canada
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8
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Guo X, Yu K, Xin Z, Liu L, Gao Y, Hu F, Ma X, Yu K, Li Y, Huang B, Yan Z, Wu J. Porcine Epidemic Diarrhea Virus Infection Subverts Arsenite-Induced Stress Granules Formation. Front Microbiol 2022; 13:931922. [PMID: 35859736 PMCID: PMC9289563 DOI: 10.3389/fmicb.2022.931922] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Accepted: 06/09/2022] [Indexed: 11/13/2022] Open
Abstract
Stress granules (SGs) are dynamic cytoplasmic protein-RNA structures that form in response to various stress conditions, including viral infection. Porcine epidemic diarrhea virus (PEDV) variant-related diarrhea has caused devastating economic losses to the swine industry worldwide. In this study, we found that the percentage of PEDV-infected cells containing SGs is nearly 20%; meanwhile, PEDV-infected cells were resistant to sodium arsenite (SA)-induced SGs formation, as demonstrated by the recruitment of SGs marker proteins, including G3BP1 and TIA1. Moreover, the formation of SGs induced by SA treatment was suppressed by PEDV papain-like protease confirmed by confocal microscopy. Further study showed that PEDV infection disrupted SGs formation by downregulating G3BP1 expression. Additionally, PEDV replication was significantly enhanced when SGs' assembly was impaired by silencing G3BP1. Taken together, our findings attempt to illuminate the specific interaction mechanism between SGs and PEDV, which will help us to elucidate the pathogenesis of PEDV infection in the near future.
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Affiliation(s)
- Xiaozhen Guo
- Shandong Key Laboratory of Immunity and Diagnosis of Poultry Diseases, Institute of Poultry Science, Shandong Academy of Agricultural Sciences, Jinan, China
| | - Kejian Yu
- Shandong Provincial Key Laboratory of Animal Biotechnology and Disease Control and Prevention, College of Animal Science and Technology, Shandong Agricultural University, Taian, China
| | - Zhonghao Xin
- Shandong Provincial Key Laboratory of Animal Biotechnology and Disease Control and Prevention, College of Animal Science and Technology, Shandong Agricultural University, Taian, China
| | - Liping Liu
- Shandong Key Laboratory of Immunity and Diagnosis of Poultry Diseases, Institute of Poultry Science, Shandong Academy of Agricultural Sciences, Jinan, China
| | - Yuehua Gao
- Shandong Key Laboratory of Immunity and Diagnosis of Poultry Diseases, Institute of Poultry Science, Shandong Academy of Agricultural Sciences, Jinan, China
| | - Feng Hu
- Shandong Key Laboratory of Immunity and Diagnosis of Poultry Diseases, Institute of Poultry Science, Shandong Academy of Agricultural Sciences, Jinan, China
| | - Xiuli Ma
- Shandong Key Laboratory of Immunity and Diagnosis of Poultry Diseases, Institute of Poultry Science, Shandong Academy of Agricultural Sciences, Jinan, China
| | - Kexiang Yu
- Shandong Key Laboratory of Immunity and Diagnosis of Poultry Diseases, Institute of Poultry Science, Shandong Academy of Agricultural Sciences, Jinan, China
| | - Yufeng Li
- Shandong Key Laboratory of Immunity and Diagnosis of Poultry Diseases, Institute of Poultry Science, Shandong Academy of Agricultural Sciences, Jinan, China
| | - Bing Huang
- Shandong Key Laboratory of Immunity and Diagnosis of Poultry Diseases, Institute of Poultry Science, Shandong Academy of Agricultural Sciences, Jinan, China
| | - Zhengui Yan
- Shandong Provincial Key Laboratory of Animal Biotechnology and Disease Control and Prevention, College of Animal Science and Technology, Shandong Agricultural University, Taian, China
- *Correspondence: Zhengui Yan
| | - Jiaqiang Wu
- Shandong Provincial Key Laboratory of Animal Biotechnology and Disease Control and Prevention, College of Animal Science and Technology, Shandong Agricultural University, Taian, China
- Shandong Key Laboratory of Disease Control and Breeding, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Science, Jinan, China
- Shandong Key Laboratory of Animal Resistant Biology, College of Life Sciences, Shandong Normal University, Jinan, China
- Jiaqiang Wu
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9
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Induction and modulation of the unfolded protein response during porcine deltacoronavirus infection. Vet Microbiol 2022; 271:109494. [PMID: 35752087 PMCID: PMC9192130 DOI: 10.1016/j.vetmic.2022.109494] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Revised: 06/08/2022] [Accepted: 06/11/2022] [Indexed: 12/14/2022]
Abstract
Porcine deltacoronavirus (PDCoV) is an emerging enteropathogenic coronavirus that has the potential for cross-species infection. Many viruses have been reported to induce endoplasmic reticulum stress (ERS) and activate the unfolded protein response (UPR). To date, little is known about whether and, if so, how the UPR is activated by PDCoV infection. Here, we investigated the activation state of UPR pathways and their effects on viral replication during PDCoV infection. We found that PDCoV infection induced ERS and activated all three known UPR pathways (inositol-requiring enzyme 1 [IRE1], activating transcription factor 6 [ATF6], and PKR-like ER kinase [PERK]), as demonstrated by IRE1-mediated XBP1 mRNA cleavage and increased mRNA expression of XBP1s, ATF4, CHOP, GADD34, GRP78, and GRP94, as well as phosphorylated eIF2α expression. Through pharmacologic treatment, RNA interference, and overexpression experiments, we confirmed the negative role of the PERK-eIF2α pathway and the positive regulatory role of the ATF6 pathway, but found no obvious effect of IRE1 pathway, on PDCoV replication. Taken together, our results characterize, for the first time, the state of the ERS response during PDCoV infection and identify the PERK and ATF6 pathways as potential antiviral targets.
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10
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Role of Stress Granules in Suppressing Viral Replication by the Infectious Bronchitis Virus Endoribonuclease. J Virol 2022; 96:e0068622. [PMID: 35638780 DOI: 10.1128/jvi.00686-22] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Infectious bronchitis virus (IBV), a γ-coronavirus, causes the economically important poultry disease infectious bronchitis. Cellular stress response is an effective antiviral strategy that leads to stress granule (SG) formation. Previous studies suggested that SGs were involved in the antiviral activity of host cells to limit viral propagation. Here, we aimed to delineate the molecular mechanisms regulating the SG response to pathogenic IBV strain infection. We found that most chicken embryo kidney (CEK) cells formed no SGs during IBV infection and IBV replication inhibited arsenite-induced SG formation. This inhibition was not caused by changes in the integrity or abundance of SG proteins during infection. IBV nonstructural protein 15 (Nsp15) endoribonuclease activity suppressed SG formation. Regardless of whether Nsp15 was expressed alone, with recombinant viral infection with Newcastle disease virus as a vector, or with EndoU-deficient IBV, the Nsp15 endoribonuclease activity was the main factor inhibiting SG formation. Importantly, uridine-specific endoribonuclease (EndoU)-deficient IBV infection induced colocalization of IBV N protein/dsRNA and SG-associated protein TIA1 in infected cells. Additionally, overexpressing TIA1 in CEK cells suppressed IBV replication and may be a potential antiviral factor for impairing viral replication. These data provide a novel foundation for future investigations of the mechanisms by which coronavirus endoribonuclease activity affects viral replication. IMPORTANCE Endoribonuclease is conserved in coronaviruses and affects viral replication and pathogenicity. Infectious bronchitis virus (IBV), a γ-coronavirus, infects respiratory, renal, and reproductive systems, causing millions of dollars in lost revenue to the poultry industry worldwide annually. Mutating the viral endoribonuclease poly(U) resulted in SG formation, and TIA1 protein colocalized with the viral N protein and dsRNA, thus damaging IBV replication. These results suggest a new antiviral target design strategy for coronaviruses.
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11
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Phillygenin activates PKR/eIF2α pathway and induces stress granule to exert anti-avian infectious bronchitis virus. Int Immunopharmacol 2022; 108:108764. [PMID: 35421804 DOI: 10.1016/j.intimp.2022.108764] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2021] [Revised: 03/31/2022] [Accepted: 04/03/2022] [Indexed: 11/22/2022]
Abstract
The prevalence of avian infectious bronchitis virus (IBV) is still one of causes inducing severe losses of production in the poultry industry worldwide. Vaccination does not completely prevent IBV infection and spread due to immune failure and viral mutations. ForsythiaeFructus and its compounds have been widely used in a lot of prescriptions of the traditional Chinese medicine for a long history, and it is well-known as safety and efficiency in heat-clearing and detoxifying. This study aims to investigate the anti-IBV activity and mechanism of phillygenin. The results showed that phillygenin inhibited IBV replication by disturbing multiple stages of the virus life cycle, including viral adsorption, invasion, internalization, and release in Vero cells. After being treated with 100, 125 and 150 μg/mL phillygenin, the expression of G3BP1 was significantly increased and the phosphorylation of PKR/eIF2α was activated, which increased stress granule, thereby triggering the antiviral response in Vero cells. The anti-virus activity of PHI was decreased when G3BP1 was interfered by si-RNA, and G3BP1 was down-regulated when PKR/eIF2α was interfered by si-RNA. In conclusion, our findings indicate that phillygenin activates PKR/eIF2α pathway and induces stress granule formation to exert anti-IBV, which holds promise to develop into a novel anti-IBV drug. Further study in vivo is needed to explore phillygenin as a potential and effective drug to prevent IB in poultry.
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12
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Xue W, Ding C, Qian K, Liao Y. The Interplay Between Coronavirus and Type I IFN Response. Front Microbiol 2022; 12:805472. [PMID: 35317429 PMCID: PMC8934427 DOI: 10.3389/fmicb.2021.805472] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2021] [Accepted: 12/24/2021] [Indexed: 12/14/2022] Open
Abstract
In the past few decades, newly evolved coronaviruses have posed a global threat to public health and animal breeding. To control and prevent the coronavirus-related diseases, understanding the interaction of the coronavirus and the host immune system is the top priority. Coronaviruses have evolved multiple mechanisms to evade or antagonize the host immune response to ensure their replication. As the first line and main component of innate immune response, type I IFN response is able to restrict virus in the initial infection stage; it is thus not surprising that the primary aim of the virus is to evade or antagonize the IFN response. Gaining a profound understanding of the interaction between coronaviruses and type I IFN response will shed light on vaccine development and therapeutics. In this review, we provide an update on the current knowledge on strategies employed by coronaviruses to evade type I IFN response.
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Affiliation(s)
- Wenxiang Xue
- Department of Avian Diseases, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, China
| | - Chan Ding
- Department of Avian Diseases, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, China
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University, Yangzhou, China
| | - Kun Qian
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University, Yangzhou, China
| | - Ying Liao
- Department of Avian Diseases, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, China
- *Correspondence: Ying Liao,
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13
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Wu Y, Zhang Z, Li Y, Li Y. The Regulation of Integrated Stress Response Signaling Pathway on Viral Infection and Viral Antagonism. Front Microbiol 2022; 12:814635. [PMID: 35222313 PMCID: PMC8874136 DOI: 10.3389/fmicb.2021.814635] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2021] [Accepted: 12/15/2021] [Indexed: 12/13/2022] Open
Abstract
The integrated stress response (ISR) is an adaptational signaling pathway induced in response to different stimuli, such as accumulation of unfolded and misfolded proteins, hypoxia, amino acid deprivation, viral infection, and ultraviolet light. It has been known that viral infection can activate the ISR, but the role of the ISR during viral infection is still unclear. In some cases, the ISR is a protective mechanism of host cells against viral infection, while viruses may hijack the ISR for facilitating their replication. This review highlighted recent advances on the induction of the ISR upon viral infection and the downstream responses, such as autophagy, apoptosis, formation of stress granules, and innate immunity response. We then discussed the molecular mechanism of the ISR regulating viral replication and how viruses antagonize this cellular stress response resulting from the ISR.
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Affiliation(s)
- Yongshu Wu
- State Key Laboratory of Veterinary Etiological Biology, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, China
- College of Veterinary Medicine, Northeast Agricultural University, Harbin, China
| | - Zhidong Zhang
- College of Animal Husbandry and Veterinary Medicine, Southwest Minzu University, Chengdu, China
| | - Yanmin Li
- College of Animal Husbandry and Veterinary Medicine, Southwest Minzu University, Chengdu, China
- *Correspondence: Yanmin Li,
| | - Yijing Li
- College of Veterinary Medicine, Northeast Agricultural University, Harbin, China
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14
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NAD+ in COVID-19 and Viral Infections. Trends Immunol 2022; 43:283-295. [PMID: 35221228 PMCID: PMC8831132 DOI: 10.1016/j.it.2022.02.001] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Revised: 02/06/2022] [Accepted: 02/07/2022] [Indexed: 11/24/2022]
Abstract
NAD+, as an emerging regulator of immune responses during viral infections, may be a promising therapeutic target for coronavirus disease 2019 (COVID-19). In this Opinion, we suggest that interventions that boost NAD+ levels might promote antiviral defense and suppress uncontrolled inflammation. We discuss the association between low NAD+ concentrations and risk factors for poor COVID-19 outcomes, including aging and common comorbidities. Mechanistically, we outline how viral infections can further deplete NAD+ and its roles in antiviral defense and inflammation. We also describe how coronaviruses can subvert NAD+-mediated actions via genes that remove NAD+ modifications and activate the NOD-, LRR-, and pyrin domain-containing protein 3 (NLRP3) inflammasome. Finally, we explore ongoing approaches to boost NAD+ concentrations in the clinic to putatively increase antiviral responses while curtailing hyperinflammation.
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15
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Chen M, Yan C, Zheng L, Zhang XE. The smallest near-infrared fluorescence complementation system for imaging protein-protein and RNA-protein interactions. Chem Sci 2022; 13:1119-1129. [PMID: 35211278 PMCID: PMC8790895 DOI: 10.1039/d1sc04839b] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Accepted: 12/19/2021] [Indexed: 12/12/2022] Open
Abstract
Bimolecular fluorescence complementation (BiFC) and its derivative molecular biosensor systems provide effective tools for visualizing biomolecular interactions. The introduction of red and near-infrared fluorescence emission proteins has expanded the spectrum of signal generating modules, enabling BiFC for in vivo imaging. However, the large size of the signal module of BiFC can hinder the interaction between proteins under investigation. In this study, we constructed the near-infrared BiFC and TriFC systems by splitting miRFP670nano, the smallest cyanobacteriochrome-evolved phytochrome available. The miRFP670nano-BiFC sensor system identified and enabled visualization of protein–protein interactions in living cells and live mice, and afforded a faster maturation rate and higher photostability and cellular stability when compared with those of reported near-infrared BiFC systems. We used the miRFP670nano-BiFC sensor system to identify interactions between the nucleocapsid (N) protein of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and cellular stress granule proteins in living cells and found that the N protein downregulated the expression level of granule protein G3BP1. With the advantages of small size and long wavelength emission of the signal module, the proposed molecular biosensor system should be suitable for various applications in cell imaging studies. The smallest near-infrared fluorescence complementation system for imaging protein–protein and RNA–protein interactions in living cells and live mice.![]()
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Affiliation(s)
- Minghai Chen
- CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences Shenzhen 518055 China
| | - Chuang Yan
- CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences Shenzhen 518055 China
| | - Luping Zheng
- CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences Shenzhen 518055 China
| | - Xian-En Zhang
- Faculty of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences Shenzhen 518055 China .,National Laboratory of Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences Beijing 100101 China
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16
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Li J, Boix E. Host Defence RNases as Antiviral Agents against Enveloped Single Stranded RNA Viruses. Virulence 2021; 12:444-469. [PMID: 33660566 PMCID: PMC7939569 DOI: 10.1080/21505594.2021.1871823] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Revised: 12/26/2020] [Accepted: 12/30/2020] [Indexed: 02/06/2023] Open
Abstract
Owing to the recent outbreak of Coronavirus Disease of 2019 (COVID-19), it is urgent to develop effective and safe drugs to treat the present pandemic and prevent other viral infections that might come in the future. Proteins from our own innate immune system can serve as ideal sources of novel drug candidates thanks to their safety and immune regulation versatility. Some host defense RNases equipped with antiviral activity have been reported over time. Here, we try to summarize the currently available information on human RNases that can target viral pathogens, with special focus on enveloped single-stranded RNA (ssRNA) viruses. Overall, host RNases can fight viruses by a combined multifaceted strategy, including the enzymatic target of the viral genome, recognition of virus unique patterns, immune modulation, control of stress granule formation, and induction of autophagy/apoptosis pathways. The review also includes a detailed description of representative enveloped ssRNA viruses and their strategies to interact with the host and evade immune recognition. For comparative purposes, we also provide an exhaustive revision of the currently approved or experimental antiviral drugs. Finally, we sum up the current perspectives of drug development to achieve successful eradication of viral infections.
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Affiliation(s)
- Jiarui Li
- Dpt. Of Biochemistry and Molecular Biology, Faculty of Biosciences, Universitat Autònoma De Barcelona, Spain
| | - Ester Boix
- Dpt. Of Biochemistry and Molecular Biology, Faculty of Biosciences, Universitat Autònoma De Barcelona, Spain
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17
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Somasekharan SP, Gleave M. SARS-CoV-2 nucleocapsid protein interacts with immunoregulators and stress granules and phase separates to form liquid droplets. FEBS Lett 2021; 595:2872-2896. [PMID: 34780058 PMCID: PMC8652540 DOI: 10.1002/1873-3468.14229] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Revised: 11/02/2021] [Accepted: 11/04/2021] [Indexed: 12/16/2022]
Abstract
The current work investigated SARS‐CoV‐2 Nucleocapsid (NCAP or N protein) interactors in A549 human lung cancer cells using a SILAC‐based mass spectrometry approach. NCAP interactors included proteins of the stress granule (SG) machinery and immunoregulators. NCAP showed specific interaction with the SG proteins G3BP1, G3BP2, YTHDF3, USP10 and PKR, and translocated to SGs following oxidative stress and heat shock. Treatment of recombinant NCAP with RNA isolated from A549 cells exposed to oxidative stress‐stimulated NCAP to undergo liquid–liquid phase separation (LLPS). RNA degradation using RNase A treatment completely blocked the LLPS property of NCAP as well as its SG association. The RNA intercalator mitoxantrone also disrupted NCAP assembly in vitro and in cells. This study provides insight into the biological processes and biophysical properties of the SARS‐CoV‐2 NCAP.
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Affiliation(s)
- Syam Prakash Somasekharan
- Department of Urologic Sciences, Faculty of Medicine, Vancouver Prostate Centre, University of British Columbia, Vancouver, BC, Canada
| | - Martin Gleave
- Department of Urologic Sciences, Faculty of Medicine, Vancouver Prostate Centre, University of British Columbia, Vancouver, BC, Canada
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18
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The PERK/PKR-eIF2α pathway negatively regulates porcine hemagglutinating encephalomyelitis virus replication by attenuating global protein translation and facilitating stress granule formation. J Virol 2021; 96:e0169521. [PMID: 34643429 PMCID: PMC8754228 DOI: 10.1128/jvi.01695-21] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023] Open
Abstract
The replication of coronaviruses, including severe acute respiratory syndrome coronavirus (SARS-CoV), Middle East respiratory syndrome coronavirus (MERS-CoV), and the recently emerged severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is closely associated with the endoplasmic reticulum (ER) of infected cells. The unfolded protein response (UPR), which is mediated by ER stress (ERS), is a typical outcome in coronavirus-infected cells and is closely associated with the characteristics of coronaviruses. However, the interaction between virus-induced ERS and coronavirus replication is poorly understood. Here, we demonstrate that infection with the betacoronavirus porcine hemagglutinating encephalomyelitis virus (PHEV) induced ERS and triggered all three branches of the UPR signaling pathway both in vitro and in vivo. In addition, ERS suppressed PHEV replication in mouse neuro-2a (N2a) cells primarily by activating the protein kinase R-like ER kinase (PERK)–eukaryotic initiation factor 2α (eIF2α) axis of the UPR. Moreover, another eIF2α phosphorylation kinase, interferon (IFN)-induced double-stranded RNA-dependent protein kinase (PKR), was also activated and acted cooperatively with PERK to decrease PHEV replication. Furthermore, we demonstrate that the PERK/PKR-eIF2α pathways negatively regulated PHEV replication by attenuating global protein translation. Phosphorylated eIF2α also promoted the formation of stress granules (SGs), which in turn repressed PHEV replication. In summary, our study presents a vital aspect of the host innate response to invading pathogens and reveals attractive host targets (e.g., PERK, PKR, and eIF2α) for antiviral drugs. IMPORTANCE Coronavirus diseases are caused by different coronaviruses of importance in humans and animals, and specific treatments are extremely limited. ERS, which can activate the UPR to modulate viral replication and the host innate response, is a frequent occurrence in coronavirus-infected cells. PHEV, a neurotropic betacoronavirus, causes nerve cell damage, which accounts for the high mortality rates in suckling piglets. However, it remains incompletely understood whether the highly developed ER in nerve cells plays an antiviral role in ERS and how ERS regulates viral proliferation. In this study, we found that PHEV infection induced ERS and activated the UPR both in vitro and in vivo and that the activated PERK/PKR-eIF2α axis inhibited PHEV replication through attenuating global protein translation and promoting SG formation. A better understanding of coronavirus-induced ERS and UPR activation may reveal the pathogenic mechanism of coronavirus and facilitate the development of new treatment strategies for these diseases.
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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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Gao B, Gong X, Fang S, Weng W, Wang H, Chu H, Sun Y, Meng C, Tan L, Song C, Qiu X, Liu W, Forlenza M, Ding C, Liao Y. Inhibition of anti-viral stress granule formation by coronavirus endoribonuclease nsp15 ensures efficient virus replication. PLoS Pathog 2021; 17:e1008690. [PMID: 33635931 PMCID: PMC7946191 DOI: 10.1371/journal.ppat.1008690] [Citation(s) in RCA: 76] [Impact Index Per Article: 25.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2020] [Revised: 03/10/2021] [Accepted: 02/01/2021] [Indexed: 12/19/2022] Open
Abstract
Cytoplasmic stress granules (SGs) are generally triggered by stress-induced translation arrest for storing mRNAs. Recently, it has been shown that SGs exert anti-viral functions due to their involvement in protein synthesis shut off and recruitment of innate immune signaling intermediates. The largest RNA viruses, coronaviruses, impose great threat to public safety and animal health; however, the significance of SGs in coronavirus infection is largely unknown. Infectious Bronchitis Virus (IBV) is the first identified coronavirus in 1930s and has been prevalent in poultry farm for many years. In this study, we provided evidence that IBV overcomes the host antiviral response by inhibiting SGs formation via the virus-encoded endoribonuclease nsp15. By immunofluorescence analysis, we observed that IBV infection not only did not trigger SGs formation in approximately 80% of the infected cells, but also impaired the formation of SGs triggered by heat shock, sodium arsenite, or NaCl stimuli. We further demonstrated that the intrinsic endoribonuclease activity of nsp15 was responsible for the interference of SGs formation. In fact, nsp15-defective recombinant IBV (rIBV-nsp15-H238A) greatly induced the formation of SGs, along with accumulation of dsRNA and activation of PKR, whereas wild type IBV failed to do so. Consequently, infection with rIBV-nsp15-H238A strongly triggered transcription of IFN-β which in turn greatly affected rIBV-nsp15-H238A replication. Further analysis showed that SGs function as an antiviral hub, as demonstrated by the attenuated IRF3-IFN response and increased production of IBV in SG-defective cells. Additional evidence includes the aggregation of pattern recognition receptors (PRRs) and signaling intermediates to the IBV-induced SGs. Collectively, our data demonstrate that the endoribonuclease nsp15 of IBV interferes with the formation of antiviral hub SGs by regulating the accumulation of viral dsRNA and by antagonizing the activation of PKR, eventually ensuring productive virus replication. We further demonstrated that nsp15s from PEDV, TGEV, SARS-CoV, and SARS-CoV-2 harbor the conserved function to interfere with the formation of chemically-induced SGs. Thus, we speculate that coronaviruses employ similar nsp15-mediated mechanisms to antagonize the host anti-viral SGs formation to ensure efficient virus replication. Coronavirus encodes the conserved endoribonuclease nsp15, which has been reported to antagonize IFN responses by mediating evasion of recognition by dsRNA sensors. SGs are part of the host cell anti-viral response; not surprisingly, viruses in turn produce an array of antagonists to counteract such host response. Here, we show that IBV prevents the formation of SGs via nsp15, by reducing the accumulation of viral dsRNA, thereby evading the activation of PKR, phosphorylation of eIF2α, and formation of SGs. Depletion of SG scaffold proteins G3BP1/2 decreases IRF3-IFN response and increases the production of IBV. When overexpressed alone, nsp15s from different coronaviruses (IBV, PEDV, TGEV, SARS-CoV, and SARS-CoV-2) interferes with chemically- and physically-induced SGs, probably by targeting essential SGs assembly factors. In this way, coronaviruses antagonize the formation of SGs by nsp15, via reducing the viral dsRNA accumulation and sequestering/depleting critical component of SGs. To our knowledge, this is the first report describing the role of coronavirus nsp15 in the suppression of integral stress response, in crosstalk with anti-innate immune response.
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Affiliation(s)
- Bo Gao
- Department of Avian Diseases, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, P. R. China
| | - Xiaoqian Gong
- Department of Avian Diseases, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, P. R. China
- Cell Biology and Immunology Group, Department of Animal Sciences, Wageningen University, Wageningen, The Netherlands
| | - Shouguo Fang
- College of Agriculture, College of Animal Sciences, Yangtze University, Jingzhou, P. R. China
| | - Wenlian Weng
- Department of Avian Diseases, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, P. R. China
| | - Huan Wang
- Department of Avian Diseases, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, P. R. China
| | - Hongyan Chu
- Department of Avian Diseases, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, P. R. China
| | - Yingjie Sun
- Department of Avian Diseases, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, P. R. China
| | - Chunchun Meng
- Department of Avian Diseases, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, P. R. China
| | - Lei Tan
- Department of Avian Diseases, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, P. R. China
| | - Cuiping Song
- Department of Avian Diseases, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, P. R. China
| | - Xusheng Qiu
- Department of Avian Diseases, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, P. R. China
| | - Weiwei Liu
- Department of Avian Diseases, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, P. R. China
| | - Maria Forlenza
- Cell Biology and Immunology Group, Department of Animal Sciences, Wageningen University, Wageningen, The Netherlands
| | - Chan Ding
- Department of Avian Diseases, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, P. R. China
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University, Yangzhou, P. R. China
| | - Ying Liao
- Department of Avian Diseases, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, P. R. China
- * E-mail:
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Abstract
In less than two decades, three deadly zoonotic coronaviruses, severe acute respiratory syndrome coronavirus (SARS-CoV), Middle East respiratory syndrome coronavirus (MERS-CoV), and SARS-CoV-2, have emerged in humans, causing SARS, MERS, and coronavirus disease 2019 (COVID-19), respectively. The current COVID-19 pandemic poses an unprecedented crisis in health care and social and economic development. It reinforces the cruel fact that CoVs are constantly evolving, possessing the genetic malleability to become highly pathogenic in humans. In this review, we start with an overview of CoV diseases and the molecular virology of CoVs, focusing on similarities and differences between SARS-CoV-2 and its highly pathogenic as well as low-pathogenic counterparts. We then discuss mechanisms underlying pathogenesis and virus-host interactions of SARS-CoV-2 and other CoVs, emphasizing the host immune response. Finally, we summarize strategies adopted for the prevention and treatment of CoV diseases and discuss approaches to develop effective antivirals and vaccines. Expected final online publication date for the Annual Review of Microbiology, Volume 75 is September 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.
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Affiliation(s)
- To Sing Fung
- Guangdong Province Key Laboratory of Microbial Signals and Disease Control and Integrative Microbiology Research Centre, South China Agricultural University, Guangzhou 510642, China;
| | - Ding Xiang Liu
- Guangdong Province Key Laboratory of Microbial Signals and Disease Control and Integrative Microbiology Research Centre, South China Agricultural University, Guangzhou 510642, China;
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22
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de Breyne S, Vindry C, Guillin O, Condé L, Mure F, Gruffat H, Chavatte L, Ohlmann T. Translational control of coronaviruses. Nucleic Acids Res 2020; 48:12502-12522. [PMID: 33264393 PMCID: PMC7736815 DOI: 10.1093/nar/gkaa1116] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2020] [Revised: 10/29/2020] [Accepted: 11/03/2020] [Indexed: 12/14/2022] Open
Abstract
Coronaviruses represent a large family of enveloped RNA viruses that infect a large spectrum of animals. In humans, the severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) is responsible for the current COVID-19 pandemic and is genetically related to SARS-CoV and Middle East respiratory syndrome-related coronavirus (MERS-CoV), which caused outbreaks in 2002 and 2012, respectively. All viruses described to date entirely rely on the protein synthesis machinery of the host cells to produce proteins required for their replication and spread. As such, virus often need to control the cellular translational apparatus to avoid the first line of the cellular defense intended to limit the viral propagation. Thus, coronaviruses have developed remarkable strategies to hijack the host translational machinery in order to favor viral protein production. In this review, we will describe some of these strategies and will highlight the role of viral proteins and RNAs in this process.
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Affiliation(s)
- Sylvain de Breyne
- CIRI, Centre International de Recherche en Infectiologie, Univ Lyon, INSERM U1111, Université Claude Bernard Lyon 1, CNRS UMR5308, ENS de Lyon, F-69007, Lyon, France
| | - Caroline Vindry
- CIRI, Centre International de Recherche en Infectiologie, Univ Lyon, INSERM U1111, Université Claude Bernard Lyon 1, CNRS UMR5308, ENS de Lyon, F-69007, Lyon, France
| | - Olivia Guillin
- CIRI, Centre International de Recherche en Infectiologie, Univ Lyon, INSERM U1111, Université Claude Bernard Lyon 1, CNRS UMR5308, ENS de Lyon, F-69007, Lyon, France
| | - Lionel Condé
- CIRI, Centre International de Recherche en Infectiologie, Univ Lyon, INSERM U1111, Université Claude Bernard Lyon 1, CNRS UMR5308, ENS de Lyon, F-69007, Lyon, France
| | - Fabrice Mure
- CIRI, Centre International de Recherche en Infectiologie, Univ Lyon, INSERM U1111, Université Claude Bernard Lyon 1, CNRS UMR5308, ENS de Lyon, F-69007, Lyon, France
| | - Henri Gruffat
- CIRI, Centre International de Recherche en Infectiologie, Univ Lyon, INSERM U1111, Université Claude Bernard Lyon 1, CNRS UMR5308, ENS de Lyon, F-69007, Lyon, France
| | - Laurent Chavatte
- CIRI, Centre International de Recherche en Infectiologie, Univ Lyon, INSERM U1111, Université Claude Bernard Lyon 1, CNRS UMR5308, ENS de Lyon, F-69007, Lyon, France
| | - Théophile Ohlmann
- CIRI, Centre International de Recherche en Infectiologie, Univ Lyon, INSERM U1111, Université Claude Bernard Lyon 1, CNRS UMR5308, ENS de Lyon, F-69007, Lyon, France
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23
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Simabuco FM, Tamura RE, Pavan ICB, Morale MG, Ventura AM. Molecular mechanisms and pharmacological interventions in the replication cycle of human coronaviruses. Genet Mol Biol 2020; 44:e20200212. [PMID: 33237152 PMCID: PMC7731901 DOI: 10.1590/1678-4685-gmb-2020-0212] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2020] [Accepted: 09/25/2020] [Indexed: 12/13/2022] Open
Abstract
SARS-CoV-2 (Severe Acute Respiratory Syndrome Coronavirus 2), as well as SARS-CoV from 2003 along with MERS-CoV from 2012, is a member of the Betacoronavirus genus of the Nidovirales order and is currently the cause of the pandemic called COVID-19 (or Coronavirus disease 2019). COVID-19, which is characterized by cough, fever, fatigue, and severe cases of pneumonia, has affected more than 23 million people worldwide until August 25th, 2020. Here, we present a review of the cellular mechanisms associated with human coronavirus replication, including the unique molecular events related to the replication transcription complex (RTC) of coronaviruses. We also present information regarding the interactions between each viral protein and cellular proteins associated to known host-pathogen implications for the coronavirus biology. Finally, a specific topic addresses the current attempts for pharmacological interventions against COVID-19, highlighting the possible effects of each drug on the molecular events of viral replication. This review intends to aid future studies for a better understanding of the SARS-CoV-2 replication cycle and the development of pharmacological approaches targeting COVID-19.
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Affiliation(s)
- Fernando Moreira Simabuco
- Universidade Estadual de Campinas, Faculdade de Ciências Aplicadas (FCA), Laboratório Multidisciplinar em Alimentos e Saúde (LABMAS), Limeira, SP, Brazil
| | - Rodrigo Esaki Tamura
- Universidade Federal de São Paulo (UNIFESP), Departmento de Ciências Biológicas, Diadema, SP, Brazil
| | - Isadora Carolina Betim Pavan
- Universidade Estadual de Campinas, Faculdade de Ciências Aplicadas (FCA), Laboratório Multidisciplinar em Alimentos e Saúde (LABMAS), Limeira, SP, Brazil.,Universidade Estadual de Campinas, Faculdade de Ciências Farmacêuticas (FCF), Campinas, SP, Brazil
| | - Mirian Galliote Morale
- Universidade de São Paulo (USP), Departamento de Radiologia e Oncologia, Faculdade de Medicina, Centro de Oncologia Translacional, Instituto do Câncer do Estado de São Paulo (ICESP), São Paulo, SP, Brazil
| | - Armando Morais Ventura
- Universidade de São Paulo (USP), Instituto de Ciências Biomédicas (ICB), Departamento de Microbiologia, São Paulo, SP, Brazil
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24
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Sirpilla O, Bauss J, Gupta R, Underwood A, Qutob D, Freeland T, Bupp C, Carcillo J, Hartog N, Rajasekaran S, Prokop JW. SARS-CoV-2-Encoded Proteome and Human Genetics: From Interaction-Based to Ribosomal Biology Impact on Disease and Risk Processes. J Proteome Res 2020; 19:4275-4290. [PMID: 32686937 PMCID: PMC7418564 DOI: 10.1021/acs.jproteome.0c00421] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2020] [Indexed: 12/12/2022]
Abstract
SARS-CoV-2 (COVID-19) has infected millions of people worldwide, with lethality in hundreds of thousands. The rapid publication of information, both regarding the clinical course and the viral biology, has yielded incredible knowledge of the virus. In this review, we address the insights gained for the SARS-CoV-2 proteome, which we have integrated into the Viral Integrated Structural Evolution Dynamic Database, a publicly available resource. Integrating evolutionary, structural, and interaction data with human proteins, we present how the SARS-CoV-2 proteome interacts with human disorders and risk factors ranging from cytokine storm, hyperferritinemic septic, coagulopathic, cardiac, immune, and rare disease-based genetics. The most noteworthy human genetic potential of SARS-CoV-2 is that of the nucleocapsid protein, where it is known to contribute to the inhibition of the biological process known as nonsense-mediated decay. This inhibition has the potential to not only regulate about 10% of all biological transcripts through altered ribosomal biology but also associate with viral-induced genetics, where suppressed human variants are activated to drive dominant, negative outcomes within cells. As we understand more of the dynamic and complex biological pathways that the proteome of SARS-CoV-2 utilizes for entry into cells, for replication, and for release from human cells, we can understand more risk factors for severe/lethal outcomes in patients and novel pharmaceutical interventions that may mitigate future pandemics.
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Affiliation(s)
- Olivia Sirpilla
- Department of Pediatrics and Human
Development, College of Human Medicine, Michigan State
University, Grand Rapids, Michigan 49503,
United States
- Department of Pharmacology and
Toxicology, Michigan State University, East
Lansing, Michigan 48824, United States
- Walsh
University, North Canton, Ohio 44720,
United States
| | - Jacob Bauss
- Department of Pediatrics and Human
Development, College of Human Medicine, Michigan State
University, Grand Rapids, Michigan 49503,
United States
| | - Ruchir Gupta
- Department of Pediatrics and Human
Development, College of Human Medicine, Michigan State
University, Grand Rapids, Michigan 49503,
United States
- Department of Pharmacology and
Toxicology, Michigan State University, East
Lansing, Michigan 48824, United States
| | - Adam Underwood
- Walsh
University, North Canton, Ohio 44720,
United States
| | - Dinah Qutob
- Walsh
University, North Canton, Ohio 44720,
United States
| | - Tom Freeland
- Walsh
University, North Canton, Ohio 44720,
United States
| | - Caleb Bupp
- Department of Pediatrics and Human
Development, College of Human Medicine, Michigan State
University, Grand Rapids, Michigan 49503,
United States
- Spectrum Health Medical
Genetics, Grand Rapids, Michigan 49503,
United States
| | - Joseph Carcillo
- Department of Critical Care Medicine
and Pediatrics, Children’s Hospital of Pittsburgh,
University of Pittsburgh School of
Medicine, Pittsburgh, Pennsylvania 15421,
United States
| | - Nicholas Hartog
- Allergy & Immunology,
Spectrum Health, Grand Rapids, Michigan 49503,
United States
| | - Surender Rajasekaran
- Department of Pediatrics and Human
Development, College of Human Medicine, Michigan State
University, Grand Rapids, Michigan 49503,
United States
- Pediatric Intensive Care
Unit, Helen DeVos Children’s Hospital,
Grand Rapids, Michigan 49503, United States
- Office of Research,
Spectrum Health, Grand Rapids, Michigan 49503,
United States
| | - Jeremy W. Prokop
- Department of Pediatrics and Human
Development, College of Human Medicine, Michigan State
University, Grand Rapids, Michigan 49503,
United States
- Department of Pharmacology and
Toxicology, Michigan State University, East
Lansing, Michigan 48824, United States
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25
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Ahamad S, Gupta D, Kumar V. Targeting SARS-CoV-2 nucleocapsid oligomerization: Insights from molecular docking and molecular dynamics simulations. J Biomol Struct Dyn 2020; 40:2430-2443. [PMID: 33140703 PMCID: PMC7663461 DOI: 10.1080/07391102.2020.1839563] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
The outbreak of COVID-19 caused by SARS-CoV-2 virus continually led to infect a large population worldwide. Currently, there is no specific viral protein-targeted therapeutics. The Nucleocapsid (N) protein of the SARS-CoV-2 virus is necessary for viral RNA replication and transcription. The C-terminal domain of N protein (CTD) involves in the self-assembly of N protein into a filament that is packaged into new virions. In this study, the CTD (PDB ID: 6WJI) was targeted for the identification of possible inhibitors of oligomerization of N protein. Herein, multiple computational approaches were employed to explore the potential mechanisms of binding and inhibitor activity of five antiviral drugs toward CTD. The five anti-N drugs studied in this work are 4E1RCat, Silmitasertib, TMCB, Sapanisertib, and Rapamycin. Among the five drugs, 4E1RCat displayed highest binding affinity (-10.95 kcal/mol), followed by rapamycin (-8.91 kcal/mol), silmitasertib (-7.89 kcal/mol), TMCB (-7.05 kcal/mol), and sapanisertib (-6.14 kcal/mol). Subsequently, stability and dynamics of the protein-drug complex were examined with molecular dynamics (MD) simulations. Overall, drug binding increases the stability of the complex with maximum stability observed in the case of 4E1RCat. The CTD-drug complex systems behave differently in terms of the free energy landscape and showed differences in population distribution. Overall, the MD simulation parameters like RMSD, RMSF, Rg, hydrogen bonds analysis, PCA, FEL, and DCCM analysis indicated that 4E1RCat and TMCB complexes were more stable as compared to silmitasertib and sapanisertib and thus could act as effective drug compounds against CTD.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Shahzaib Ahamad
- Translational Bioinformatics Group, International Centre for Genetic Engineering and Biotechnology (ICGEB), New Delhi, India
| | - Dinesh Gupta
- Translational Bioinformatics Group, International Centre for Genetic Engineering and Biotechnology (ICGEB), New Delhi, India
| | - Vijay Kumar
- Amity Institute of Neuropsychology & Neurosciences (AINN), Amity University, Noida, India
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26
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Wang F, Li J, Fan S, Jin Z, Huang C. Targeting stress granules: A novel therapeutic strategy for human diseases. Pharmacol Res 2020; 161:105143. [PMID: 32814168 PMCID: PMC7428673 DOI: 10.1016/j.phrs.2020.105143] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Revised: 08/07/2020] [Accepted: 08/10/2020] [Indexed: 12/16/2022]
Abstract
Stress granules (SGs) are assemblies of mRNA and proteins that form from mRNAs stalled in translation initiation in response to stress. Chronic stress might even induce formation of cytotoxic pathological SGs. SGs participate in various biological functions including response to apoptosis, inflammation, immune modulation, and signalling pathways; moreover, SGs are involved in pathogenesis of neurodegenerative diseases, viral infection, aging, cancers and many other diseases. Emerging evidence has shown that small molecules can affect SG dynamics, including assembly, disassembly, maintenance and clearance. Thus, targeting SGs is a potential therapeutic strategy for the treatment of human diseases and the promotion of health. The established methods for detecting SGs provided ready tools for large-scale screening of agents that alter the dynamics of SGs. Here, we describe the effects of small molecules on SG assembly, disassembly, and their roles in the disease. Moreover, we provide perspective for the possible application of small molecules targeting SGs in the treatment of human diseases.
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Affiliation(s)
- Fei Wang
- School of Pharmacy, Shanghai University of Traditional Chinese Medicine, 1200 Cailun Road, Shanghai, 201203, China
| | - Juan Li
- College of Chemistry and Life Sciences, Zhejiang Normal University, 688 Yingbin Road, Jinhua, Zhejiang, 321004, China
| | - Shengjie Fan
- School of Pharmacy, Shanghai University of Traditional Chinese Medicine, 1200 Cailun Road, Shanghai, 201203, China
| | - Zhigang Jin
- College of Chemistry and Life Sciences, Zhejiang Normal University, 688 Yingbin Road, Jinhua, Zhejiang, 321004, China.
| | - Cheng Huang
- School of Pharmacy, Shanghai University of Traditional Chinese Medicine, 1200 Cailun Road, Shanghai, 201203, China.
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27
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Maranon DG, Anderson JR, Maranon AG, Wilusz J. The interface between coronaviruses and host cell RNA biology: Novel potential insights for future therapeutic intervention. WILEY INTERDISCIPLINARY REVIEWS-RNA 2020; 11:e1614. [PMID: 32638509 PMCID: PMC7361139 DOI: 10.1002/wrna.1614] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/01/2020] [Revised: 05/28/2020] [Accepted: 05/29/2020] [Indexed: 12/17/2022]
Abstract
Coronaviruses, including SARS-Cov-2, are RNA-based pathogens that interface with a large variety of RNA-related cellular processes during infection. These processes include capping, polyadenylation, localization, RNA stability, translation, and regulation by RNA binding proteins or noncoding RNA effectors. The goal of this article is to provide an in-depth perspective on the current state of knowledge of how various coronaviruses interact with, usurp, and/or avoid aspects of these cellular RNA biology machineries. A thorough understanding of how coronaviruses interact with RNA-related posttranscriptional processes in the cell should allow for new insights into aspects of viral pathogenesis as well as identify new potential avenues for the development of anti-coronaviral therapeutics. This article is categorized under: RNA in Disease and Development > RNA in Disease.
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Affiliation(s)
- David G Maranon
- Department of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, Colorado, USA
| | - John R Anderson
- Department of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, Colorado, USA
| | - Abril G Maranon
- Department of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, Colorado, USA
| | - Jeffrey Wilusz
- Department of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, Colorado, USA
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28
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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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Cascarina SM, Ross ED. A proposed role for the SARS-CoV-2 nucleocapsid protein in the formation and regulation of biomolecular condensates. FASEB J 2020; 34:9832-9842. [PMID: 32562316 PMCID: PMC7323129 DOI: 10.1096/fj.202001351] [Citation(s) in RCA: 84] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Accepted: 05/31/2020] [Indexed: 02/06/2023]
Abstract
To date, the recently discovered SARS‐CoV‐2 virus has afflicted >6.9 million people worldwide and disrupted the global economy. Development of effective vaccines or treatments for SARS‐CoV‐2 infection will be aided by a molecular‐level understanding of SARS‐CoV‐2 proteins and their interactions with host cell proteins. The SARS‐CoV‐2 nucleocapsid (N) protein is highly homologous to the N protein of SARS‐CoV, which is essential for viral RNA replication and packaging into new virions. Emerging models indicate that nucleocapsid proteins of other viruses can form biomolecular condensates to spatiotemporally regulate N protein localization and function. Our bioinformatic analyses, in combination with pre‐existing experimental evidence, suggest that the SARS‐CoV‐2 N protein is capable of forming or regulating biomolecular condensates in vivo by interaction with RNA and key host cell proteins. We discuss multiple models, whereby the N protein of SARS‐CoV‐2 may harness this activity to regulate viral life cycle and host cell response to viral infection.
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Affiliation(s)
- Sean M Cascarina
- Department of Biochemistry and Molecular Biology, Colorado State University, Fort Collins, CO, USA
| | - Eric D Ross
- Department of Biochemistry and Molecular Biology, Colorado State University, Fort Collins, CO, USA
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30
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Infectious Bronchitis Virus Regulates Cellular Stress Granule Signaling. Viruses 2020; 12:v12050536. [PMID: 32422883 PMCID: PMC7291021 DOI: 10.3390/v12050536] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2020] [Revised: 05/12/2020] [Accepted: 05/12/2020] [Indexed: 12/21/2022] Open
Abstract
Viruses must hijack cellular translation machinery to express viral genes. In many cases, this is impeded by cellular stress responses. These stress responses result in the global inhibition of translation and the storage of stalled mRNAs, into RNA-protein aggregates called stress granules. This results in the translational silencing of the majority of mRNAs excluding those beneficial for the cell to resolve the specific stress. For example, the expression of antiviral factors is maintained during viral infection. Here we investigated stress granule regulation by Gammacoronavirus infectious bronchitis virus (IBV), which causes the economically important poultry disease, infectious bronchitis. Interestingly, we found that IBV is able to inhibit multiple cellular stress granule signaling pathways, whilst at the same time, IBV replication also results in the induction of seemingly canonical stress granules in a proportion of infected cells. Moreover, IBV infection uncouples translational repression and stress granule formation and both processes are independent of eIF2α phosphorylation. These results provide novel insights into how IBV modulates cellular translation and antiviral stress signaling.
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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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Lippi A, Domingues R, Setz C, Outeiro TF, Krisko A. SARS-CoV-2: At the Crossroad Between Aging and Neurodegeneration. Mov Disord 2020; 35:716-720. [PMID: 32291797 PMCID: PMC7262312 DOI: 10.1002/mds.28084] [Citation(s) in RCA: 101] [Impact Index Per Article: 25.3] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2020] [Accepted: 04/10/2020] [Indexed: 01/04/2023] Open
Affiliation(s)
- Alice Lippi
- Department of Experimental Neurodegeneration, Center for Biostructural Imaging of Neurodegeneration, University Medical Center, Goettingen, Goettingen, Germany.,Center of Excellence for Science and Technology-Integration of Mediterranean Region (STIM), Faculty of Science, University of Split, Split, Croatia
| | - Renato Domingues
- Department of Experimental Neurodegeneration, Center for Biostructural Imaging of Neurodegeneration, University Medical Center, Goettingen, Goettingen, Germany
| | - Cristian Setz
- Department of Experimental Neurodegeneration, Center for Biostructural Imaging of Neurodegeneration, University Medical Center, Goettingen, Goettingen, Germany.,Department of Otolaryngology-Head and Neck Surgery, University Medical Center Goettingen, Goettingen, Germany
| | - Tiago F Outeiro
- Department of Experimental Neurodegeneration, Center for Biostructural Imaging of Neurodegeneration, University Medical Center, Goettingen, Goettingen, Germany.,Max Planck Institute for Experimental Medicine, Goettingen, Germany.,Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Framlington Place, Newcastle Upon Tyne, United Kingdom
| | - Anita Krisko
- Department of Experimental Neurodegeneration, Center for Biostructural Imaging of Neurodegeneration, University Medical Center, Goettingen, Goettingen, Germany
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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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Gaete-Argel A, Márquez CL, Barriga GP, Soto-Rifo R, Valiente-Echeverría F. Strategies for Success. Viral Infections and Membraneless Organelles. Front Cell Infect Microbiol 2019; 9:336. [PMID: 31681621 PMCID: PMC6797609 DOI: 10.3389/fcimb.2019.00336] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2019] [Accepted: 09/18/2019] [Indexed: 12/12/2022] Open
Abstract
Regulation of RNA homeostasis or “RNAstasis” is a central step in eukaryotic gene expression. From transcription to decay, cellular messenger RNAs (mRNAs) associate with specific proteins in order to regulate their entire cycle, including mRNA localization, translation and degradation, among others. The best characterized of such RNA-protein complexes, today named membraneless organelles, are Stress Granules (SGs) and Processing Bodies (PBs) which are involved in RNA storage and RNA decay/storage, respectively. Given that SGs and PBs are generally associated with repression of gene expression, viruses have evolved different mechanisms to counteract their assembly or to use them in their favor to successfully replicate within the host environment. In this review we summarize the current knowledge about the viral regulation of SGs and PBs, which could be a potential novel target for the development of broad-spectrum antiviral therapies.
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Affiliation(s)
- Aracelly Gaete-Argel
- Molecular and Cellular Virology Laboratory, Virology Program, Institute of Biomedical Sciences, Faculty of Medicine, Universidad de Chile, Santiago, Chile.,HIV/AIDS Workgroup, Faculty of Medicine, Universidad de Chile, Santiago, Chile
| | - Chantal L Márquez
- Molecular and Cellular Virology Laboratory, Virology Program, Institute of Biomedical Sciences, Faculty of Medicine, Universidad de Chile, Santiago, Chile.,HIV/AIDS Workgroup, Faculty of Medicine, Universidad de Chile, Santiago, Chile
| | - Gonzalo P Barriga
- Emerging Viruses Laboratory, Virology Program, Institute of Biomedical Sciences, Faculty of Medicine, Universidad de Chile, Santiago, Chile
| | - Ricardo Soto-Rifo
- Molecular and Cellular Virology Laboratory, Virology Program, Institute of Biomedical Sciences, Faculty of Medicine, Universidad de Chile, Santiago, Chile.,HIV/AIDS Workgroup, Faculty of Medicine, Universidad de Chile, Santiago, Chile
| | - Fernando Valiente-Echeverría
- Molecular and Cellular Virology Laboratory, Virology Program, Institute of Biomedical Sciences, Faculty of Medicine, Universidad de Chile, Santiago, Chile.,HIV/AIDS Workgroup, Faculty of Medicine, Universidad de Chile, Santiago, Chile
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Pandey K, Zhong S, Diel DG, Hou Y, Wang Q, Nelson E, Wang X. GTPase-activating protein-binding protein 1 (G3BP1) plays an antiviral role against porcine epidemic diarrhea virus. Vet Microbiol 2019; 236:108392. [PMID: 31500725 PMCID: PMC7117524 DOI: 10.1016/j.vetmic.2019.108392] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2019] [Revised: 08/09/2019] [Accepted: 08/18/2019] [Indexed: 12/21/2022]
Abstract
Knockdown of G3BP1 significantly increases PEDV replication. Overexpression of G3BP1 lowers virus replication. Increased pro-inflammatory cytokines in PEDV-infected G3BP1 depleted cells. PEDV induces stress granules in infected Vero cells.
Porcine epidemic diarrhoea virus (PEDV) is a single-stranded, positive-sense RNA virus that belongs to the Coronaviridae. PEDV causes severe diarrhoea and dehydration in nursing piglets, which leads to significant economic losses to the swine industry worldwide. Stress granules (SGs) are sites of mRNA storage that are formed under various stress conditions including viral infections. Increasing evidence suggests that SGs function in antiviral innate immunity of host cells to limit virus replication. Ras-GTPase-activating protein (SH3 domain) binding protein 1 (G3BP1) is a key stress granule-resident protein that nucleates stress granule assembly. Depletion of G3BP1 inhibits SGs formation and overexpression of G3BP1 nucleates SGs assembly. We observed that knockdown of G3BP1 by silencing RNA significantly increased PEDV replication. Overexpression of exogenous G3BP1, on the other hand, lowered virus replication by 100-fold compared to vector control. An increase in the levels of mRNAs of pro-inflammatory cytokines such as interleukin-1β (IL-1β) and tumor necrosis factor-α (TNF-α) was also observed in PEDV-infected G3BP1 depleted cells compared to PEDV-infected control cells. Taken together, our results suggest that G3BP1 plays an antiviral role and impairs PEDV replication.
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Affiliation(s)
| | | | - Diego G Diel
- Department of Veterinary and Biomedical Sciences, South Dakota State University, Brookings, SD, 57007, USA
| | - Yixuan Hou
- Food Animal Health Research Program, Ohio Agricultural Research and Development Center, College of Food, Agriculture and Environmental Sciences, The Ohio State University, Wooster, Ohio, USA
| | - Qiuhong Wang
- Food Animal Health Research Program, Ohio Agricultural Research and Development Center, College of Food, Agriculture and Environmental Sciences, The Ohio State University, Wooster, Ohio, USA
| | - Eric Nelson
- Department of Veterinary and Biomedical Sciences, South Dakota State University, Brookings, SD, 57007, USA
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36
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Mammalian orthoreovirus Infection is Enhanced in Cells Pre-Treated with Sodium Arsenite. Viruses 2019; 11:v11060563. [PMID: 31216693 PMCID: PMC6631071 DOI: 10.3390/v11060563] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2019] [Revised: 06/11/2019] [Accepted: 06/13/2019] [Indexed: 12/19/2022] Open
Abstract
Following reovirus infection, cells activate stress responses that repress canonical translation as a mechanism to limit progeny virion production. Work by others suggests that these stress responses, which are part of the integrated stress response (ISR), may benefit rather than repress reovirus replication. Here, we report that compared to untreated cells, treating cells with sodium arsenite (SA) to activate the ISR prior to infection enhanced viral protein expression, percent infectivity, and viral titer. SA-mediated enhancement was not strain-specific, but was cell-type specific. While SA pre-treatment of cells offered the greatest enhancement, treatment within the first 4 h of infection increased the percent of cells infected. SA activates the heme-regulated eIF2α (HRI) kinase, which phosphorylates eukaryotic translation initiation factor 2 alpha (eIF2α) to induce stress granule (SG) formation. Heat shock (HS), another activator of HRI, also induced eIF2α phosphorylation and SGs in cells. However, HS had no effect on percent infectivity or viral yield but did enhance viral protein expression. These data suggest that SA pre-treatment perturbs the cell in a way that is beneficial for reovirus and that this enhancement is independent of SG induction. Understanding how to manipulate the cellular stress responses during infection to enhance replication could help to maximize the oncolytic potential of reovirus.
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Abstract
Coronaviruses are pathogens with a serious impact on human and animal health. They mostly cause enteric or respiratory disease, which can be severe and life threatening, e.g., in the case of the zoonotic coronaviruses causing severe acute respiratory syndrome (SARS) and Middle East Respiratory Syndrome (MERS) in humans. Despite the economic and societal impact of such coronavirus infections, and the likelihood of future outbreaks of additional pathogenic coronaviruses, our options to prevent or treat coronavirus infections remain very limited. This highlights the importance of advancing our knowledge on the replication of these viruses and their interactions with the host. Compared to other +RNA viruses, coronaviruses have an exceptionally large genome and employ a complex genome expression strategy. Next to a role in basic virus replication or virus assembly, many of the coronavirus proteins expressed in the infected cell contribute to the coronavirus-host interplay. For example, by interacting with the host cell to create an optimal environment for coronavirus replication, by altering host gene expression or by counteracting the host’s antiviral defenses. These coronavirus–host interactions are key to viral pathogenesis and will ultimately determine the outcome of infection. Due to the complexity of the coronavirus proteome and replication cycle, our knowledge of host factors involved in coronavirus replication is still in an early stage compared to what is known for some other +RNA viruses. This review summarizes our current understanding of coronavirus–host interactions at the level of the infected cell, with special attention for the assembly and function of the viral RNA-synthesising machinery and the evasion of cellular innate immune responses.
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V'kovski P, Gerber M, Kelly J, Pfaender S, Ebert N, Braga Lagache S, Simillion C, Portmann J, Stalder H, Gaschen V, Bruggmann R, Stoffel MH, Heller M, Dijkman R, Thiel V. Determination of host proteins composing the microenvironment of coronavirus replicase complexes by proximity-labeling. eLife 2019; 8:42037. [PMID: 30632963 PMCID: PMC6372286 DOI: 10.7554/elife.42037] [Citation(s) in RCA: 114] [Impact Index Per Article: 22.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2018] [Accepted: 01/11/2019] [Indexed: 12/31/2022] Open
Abstract
Positive-sense RNA viruses hijack intracellular membranes that provide niches for viral RNA synthesis and a platform for interactions with host proteins. However, little is known about host factors at the interface between replicase complexes and the host cytoplasm. We engineered a biotin ligase into a coronaviral replication/transcription complex (RTC) and identified >500 host proteins constituting the RTC microenvironment. siRNA-silencing of each RTC-proximal host factor demonstrated importance of vesicular trafficking pathways, ubiquitin-dependent and autophagy-related processes, and translation initiation factors. Notably, detection of translation initiation factors at the RTC was instrumental to visualize and demonstrate active translation proximal to replication complexes of several coronaviruses. Collectively, we establish a spatial link between viral RNA synthesis and diverse host factors of unprecedented breadth. Our data may serve as a paradigm for other positive-strand RNA viruses and provide a starting point for a comprehensive analysis of critical virus-host interactions that represent targets for therapeutic intervention. Coronaviruses can infect the nose and throat and are a main cause of the common cold. Infections are usually mild and short-lived, but sometimes they can turn nasty. In 2002 and 2012, two dangerous new coronaviruses emerged and caused diseases known as SARS and MERS. These viruses caused much more serious symptoms and in some cases proved deadly. The question is, why are some coronaviruses more dangerous than others? Scientists know that the body's response to virus infection can make a difference to whether someone had mild or severe disease. So, to understand why some coronaviruses cause a cold and others kill, they also need to learn how people react to virus infection. Coronaviruses hijack membranes inside cells and turn them into virus factories. Within these factories, the viruses build molecular machinery called replicase complexes to copy their genetic code, which is needed for the next generation of virus particles. The viruses steal and repurpose proteins from their host cell that will assist in the copying process. However, scientists do not yet know which host proteins are essential for the virus to multiply. So, to find out, V’kovski et al. developed a way to tag any host protein that came near the virus factories. The new technique involved attaching an enzyme called a biotin ligase to the replicase complex. This enzyme acts as a molecular label gun, attaching a chemical tag to any protein that comes within ten nanometres. The label gun revealed that more than 500 different proteins come into contact with the replicase complex. To find out what these proteins were doing, the next step was to switch off their genes one by one. This revealed the key cell machinery that coronaviruses hijack when they are replicating. It included the cell's cargo transport system, the waste disposal system, and the protein production system. Using these systems allows the viruses to copy their genetic code next to machines that can turn it straight into viral proteins. These new results provide clues about which proteins viruses actually need from their host cells. They also do not just apply to coronaviruses. Other viruses use similar strategies to complete their infection cycle. These findings could help researchers to understand more generally about how viruses multiply. In the future, this knowledge could lead to new ways to combat virus infections.
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Affiliation(s)
- Philip V'kovski
- Institute of Virology and Immunology IVI, Bern, Switzerland.,Department of Infectious Diseases and Pathobiology, Vetsuisse Faculty, University of Bern, Bern, Switzerland.,Graduate School for Biomedical Science, University of Bern, Bern, Switzerland
| | - Markus Gerber
- Institute of Virology and Immunology IVI, Bern, Switzerland.,Department of Infectious Diseases and Pathobiology, Vetsuisse Faculty, University of Bern, Bern, Switzerland
| | - Jenna Kelly
- Institute of Virology and Immunology IVI, Bern, Switzerland.,Department of Infectious Diseases and Pathobiology, Vetsuisse Faculty, University of Bern, Bern, Switzerland.,Interfaculty Bioinformatics Unit, SIB Swiss Institute of Bioinformatics, University of Bern, Bern, Switzerland
| | - Stephanie Pfaender
- Institute of Virology and Immunology IVI, Bern, Switzerland.,Department of Infectious Diseases and Pathobiology, Vetsuisse Faculty, University of Bern, Bern, Switzerland
| | - Nadine Ebert
- Institute of Virology and Immunology IVI, Bern, Switzerland.,Department of Infectious Diseases and Pathobiology, Vetsuisse Faculty, University of Bern, Bern, Switzerland
| | - Sophie Braga Lagache
- Mass Spectrometry and Proteomics Core Facility, Department for BioMedical Research (DBMR), University of Bern, Bern, Switzerland
| | - Cedric Simillion
- Mass Spectrometry and Proteomics Core Facility, Department for BioMedical Research (DBMR), University of Bern, Bern, Switzerland.,Department of Clinical Research, University of Bern, Bern, Switzerland
| | - Jasmine Portmann
- Institute of Virology and Immunology IVI, Bern, Switzerland.,Department of Infectious Diseases and Pathobiology, Vetsuisse Faculty, University of Bern, Bern, Switzerland
| | - Hanspeter Stalder
- Institute of Virology and Immunology IVI, Bern, Switzerland.,Department of Infectious Diseases and Pathobiology, Vetsuisse Faculty, University of Bern, Bern, Switzerland
| | - Véronique Gaschen
- Division of Veterinary Anatomy, Vetsuisse Faculty, University of Bern, Bern, Switzerland
| | - Rémy Bruggmann
- Interfaculty Bioinformatics Unit, SIB Swiss Institute of Bioinformatics, University of Bern, Bern, Switzerland
| | - Michael H Stoffel
- Division of Veterinary Anatomy, Vetsuisse Faculty, University of Bern, Bern, Switzerland
| | - Manfred Heller
- Mass Spectrometry and Proteomics Core Facility, Department for BioMedical Research (DBMR), University of Bern, Bern, Switzerland
| | - Ronald Dijkman
- Institute of Virology and Immunology IVI, Bern, Switzerland.,Department of Infectious Diseases and Pathobiology, Vetsuisse Faculty, University of Bern, Bern, Switzerland
| | - Volker Thiel
- Institute of Virology and Immunology IVI, Bern, Switzerland.,Department of Infectious Diseases and Pathobiology, Vetsuisse Faculty, University of Bern, Bern, Switzerland
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Inhibition of Stress Granule Formation by Middle East Respiratory Syndrome Coronavirus 4a Accessory Protein Facilitates Viral Translation, Leading to Efficient Virus Replication. J Virol 2018; 92:JVI.00902-18. [PMID: 30068649 DOI: 10.1128/jvi.00902-18] [Citation(s) in RCA: 90] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2018] [Accepted: 07/26/2018] [Indexed: 12/13/2022] Open
Abstract
Stress granule (SG) formation is generally triggered as a result of stress-induced translation arrest. The impact of SG formation on virus replication varies among different viruses, and the significance of SGs in coronavirus (CoV) replication is largely unknown. The present study examined the biological role of SGs in Middle East respiratory syndrome (MERS)-CoV replication. The MERS-CoV 4a accessory protein is known to inhibit SG formation in cells in which it was expressed by binding to double-stranded RNAs and inhibiting protein kinase R (PKR)-mediated phosphorylation of the α subunit of eukaryotic initiation factor 2 (eIF2α). Replication of MERS-CoV lacking the genes for 4a and 4b (MERS-CoV-Δp4), but not MERS-CoV, induced SG accumulation in MERS-CoV-susceptible HeLa/CD26 cells, while replication of both viruses failed to induce SGs in Vero cells, demonstrating cell type-specific differences in MERS-CoV-Δp4-induced SG formation. MERS-CoV-Δp4 replicated less efficiently than MERS-CoV in HeLa/CD26 cells, and inhibition of SG formation by small interfering RNA-mediated depletion of the SG components promoted MERS-CoV-Δp4 replication, demonstrating that SG formation was detrimental for MERS-CoV replication. Inefficient MERS-CoV-Δp4 replication was not due to either the induction of type I and type III interferons or the accumulation of viral mRNAs in the SGs. Rather, it was due to the inefficient translation of viral proteins, which was caused by high levels of PKR-mediated eIF2α phosphorylation and likely by the confinement of various factors that are required for translation in the SGs. Finally, we established that deletion of the 4a gene alone was sufficient for inducing SGs in infected cells. Our study revealed that 4a-mediated inhibition of SG formation facilitates viral translation, leading to efficient MERS-CoV replication.IMPORTANCE Middle East respiratory syndrome coronavirus (MERS-CoV) causes respiratory failure with a high case fatality rate in patients, yet effective antivirals and vaccines are currently not available. Stress granule (SG) formation is one of the cellular stress responses to virus infection and is generally triggered as a result of stress-induced translation arrest. SGs can be beneficial or detrimental for virus replication, and the biological role of SGs in CoV infection is unclear. The present study showed that the MERS-CoV 4a accessory protein, which was reported to block SG formation in cells in which it was expressed, inhibited SG formation in infected cells. Our data suggest that 4a-mediated inhibition of SG formation facilitates the translation of viral mRNAs, resulting in efficient virus replication. To our knowledge, this report is the first to show the biological significance of SG in CoV replication and provides insight into the interplay between MERS-CoV and antiviral stress responses.
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40
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Stewart H, Brown K, Dinan AM, Irigoyen N, Snijder EJ, Firth AE. Transcriptional and Translational Landscape of Equine Torovirus. J Virol 2018; 92:e00589-18. [PMID: 29950409 PMCID: PMC6096809 DOI: 10.1128/jvi.00589-18] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2018] [Accepted: 06/13/2018] [Indexed: 12/15/2022] Open
Abstract
The genus Torovirus (subfamily Torovirinae, family Coronaviridae, order Nidovirales) encompasses a range of species that infect domestic ungulates, including cattle, sheep, goats, pigs, and horses, causing an acute self-limiting gastroenteritis. Using the prototype species equine torovirus (EToV), we performed parallel RNA sequencing (RNA-seq) and ribosome profiling (Ribo-seq) to analyze the relative expression levels of the known torovirus proteins and transcripts, chimeric sequences produced via discontinuous RNA synthesis (a characteristic of the nidovirus replication cycle), and changes in host transcription and translation as a result of EToV infection. RNA sequencing confirmed that EToV utilizes a unique combination of discontinuous and nondiscontinuous RNA synthesis to produce its subgenomic RNAs (sgRNAs); indeed, we identified transcripts arising from both mechanisms that would result in sgRNAs encoding the nucleocapsid. Our ribosome profiling analysis revealed that ribosomes efficiently translate two novel CUG-initiated open reading frames (ORFs), located within the so-called 5' untranslated region. We have termed the resulting proteins U1 and U2. Comparative genomic analysis confirmed that these ORFs are conserved across all available torovirus sequences, and the inferred amino acid sequences are subject to purifying selection, indicating that U1 and U2 are functionally relevant. This study provides the first high-resolution analysis of transcription and translation in this neglected group of livestock pathogens.IMPORTANCE Toroviruses infect cattle, goats, pigs, and horses worldwide and can cause gastrointestinal disease. There is no treatment or vaccine, and their ability to spill over into humans has not been assessed. These viruses are related to important human pathogens, including severe acute respiratory syndrome (SARS) coronavirus, and they share some common features; however, the mechanism that they use to produce sgRNA molecules differs. Here, we performed deep sequencing to determine how equine torovirus produces sgRNAs. In doing so, we also identified two previously unknown open reading frames "hidden" within the genome. Together these results highlight the similarities and differences between this domestic animal virus and related pathogens of humans and livestock.
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Affiliation(s)
- Hazel Stewart
- Division of Virology, Department of Pathology, University of Cambridge, Cambridge, United Kingdom
| | - Katherine Brown
- Division of Virology, Department of Pathology, University of Cambridge, Cambridge, United Kingdom
| | - Adam M Dinan
- Division of Virology, Department of Pathology, University of Cambridge, Cambridge, United Kingdom
| | - Nerea Irigoyen
- Division of Virology, Department of Pathology, University of Cambridge, Cambridge, United Kingdom
| | - Eric J Snijder
- Molecular Virology Laboratory, Department of Medical Microbiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Andrew E Firth
- Division of Virology, Department of Pathology, University of Cambridge, Cambridge, United Kingdom
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The PERK Arm of the Unfolded Protein Response Negatively Regulates Transmissible Gastroenteritis Virus Replication by Suppressing Protein Translation and Promoting Type I Interferon Production. J Virol 2018; 92:JVI.00431-18. [PMID: 29769338 DOI: 10.1128/jvi.00431-18] [Citation(s) in RCA: 56] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2018] [Accepted: 04/30/2018] [Indexed: 01/29/2023] Open
Abstract
Coronavirus replication is closely associated with the endoplasmic reticulum (ER), the primary cellular organelle for protein synthesis, folding, and modification. ER stress is a common consequence in coronavirus-infected cells. However, how the virus-induced ER stress influences coronavirus replication and pathogenesis remains controversial. Here, we demonstrated that infection with the alphacoronavirus transmissible gastroenteritis virus (TGEV) induced ER stress and triggered the unfolded protein response (UPR) in vitro and in vivo, and ER stress negatively regulated TGEV replication in vitro Although TGEV infection activated all three UPR pathways (activating transcription factor 6 [ATF6], inositol-requiring enzyme 1 [IRE1], and protein kinase R-like ER kinase [PERK]), the virus-triggered UPR suppressed TGEV replication in both swine testicular (ST) and IPEC-J2 cells primarily through activation of the PERK-eukaryotic initiation factor 2α (eIF2α) axis, as shown by functional studies with overexpression, small interfering RNA (siRNA), or specific chemical inhibitors. Moreover, we demonstrated that PERK-eIF2α axis-mediated inhibition of TGEV replication occurs through phosphorylated eIF2α-induced overall attenuation of protein translation. In addition to direct inhibition of viral production, the PERK-eIF2α pathway activated NF-κB and then facilitated type I IFN production, resulting in TGEV suppression. Taken together, our results suggest that the TGEV-triggered PERK-eIF2α pathway negatively regulates TGEV replication and represents a vital aspect of host innate responses to invading pathogens.IMPORTANCE The induction of ER stress is a common outcome in cells infected with coronaviruses. The UPR initiated by ER stress is actively involved in viral replication and modulates the host innate responses to the invading viruses, but these underlying mechanisms remain incompletely understood. We show here that infection with the alphacoronavirus TGEV elicited ER stress in vitro and in vivo, and the UPR PERK-eIF2α branch was predominantly responsible for the suppression of TGEV replication by ER stress. Furthermore, the PERK-eIF2α axis inhibited TGEV replication through direct inhibition of viral proteins due to global translation inhibition and type I IFN induction. These findings highlight a critical role of the UPR PERK-eIF2α pathway in modulating host innate immunity and coronavirus replication.
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Zhai X, Wu S, Lin L, Wang T, Zhong X, Chen Y, Xu W, Tong L, Wang Y, Zhao W, Zhong Z. Stress Granule Formation is One of the Early Antiviral Mechanisms for Host Cells Against Coxsackievirus B Infection. Virol Sin 2018; 33:314-322. [PMID: 29959686 DOI: 10.1007/s12250-018-0040-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2018] [Accepted: 05/25/2018] [Indexed: 12/11/2022] Open
Abstract
Stress granules (SGs) are intracellular granules formed when cellular translation is blocked and have been reported to be involved in a variety of viral infections. Our previous studies revealed that SGs are involved in the coxsackievirus B (CVB) infection process, but the role of SGs in CVB infection has not been fully explored. In this study, we found that CVB type 3 (CVB3) could induce SG formation in the early phase of infection. Results showed that levels of CVB3 RNA and protein were significantly inhibited during the early stage of CVB3 infection by the elevated formation of SGs, while viral RNA and protein synthesis were significantly promoted when SG formation was blocked. Our findings suggest that SG formation is one of the early antiviral mechanisms for host cells against CVB infection.
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Affiliation(s)
- Xia Zhai
- Department of Microbiology, Harbin Medical University, Harbin, 150081, China
| | - Shuo Wu
- Department of Microbiology, Harbin Medical University, Harbin, 150081, China
| | - Lexun Lin
- Department of Microbiology, Harbin Medical University, Harbin, 150081, China
| | - Tianying Wang
- Department of Microbiology, Harbin Medical University, Harbin, 150081, China
| | - Xiaoyan Zhong
- Department of Microbiology, Harbin Medical University, Harbin, 150081, China
| | - Yang Chen
- Department of Microbiology, Harbin Medical University, Harbin, 150081, China
| | - Weizhen Xu
- Department of Microbiology, Harbin Medical University, Harbin, 150081, China
| | - Lei Tong
- Department of Microbiology, Harbin Medical University, Harbin, 150081, China
| | - Yan Wang
- Department of Microbiology, Harbin Medical University, Harbin, 150081, China
| | - Wenran Zhao
- Department of Cell Biology, Harbin Medical University, Harbin, 150081, China.
| | - Zhaohua Zhong
- Department of Microbiology, Harbin Medical University, Harbin, 150081, China.
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Bose A, Basu R, Maulik M, Das Sarma J. Loss of Cx43-Mediated Functional Gap Junction Communication in Meningeal Fibroblasts Following Mouse Hepatitis Virus Infection. Mol Neurobiol 2018; 55:6558-6571. [PMID: 29327203 PMCID: PMC7090783 DOI: 10.1007/s12035-017-0861-3] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2017] [Accepted: 12/21/2017] [Indexed: 10/28/2022]
Abstract
Mouse hepatitis virus (MHV) infection causes meningoencephalitis by disrupting the neuro-glial and glial-pial homeostasis. Recent studies suggest that MHV infection alters gap junction protein connexin 43 (Cx43)-mediated intercellular communication in brain and primary cultured astrocytes. In addition to astrocytes, meningeal fibroblasts also express high levels of Cx43. Fibroblasts in the meninges together with the basal lamina and the astrocyte endfeet forms the glial limitans superficialis as part of the blood-brain barrier (BBB). Alteration of glial-pial gap junction intercellular communication (GJIC) in MHV infection has the potential to affect the integrity of BBB. Till date, it is not known if viral infection can modulate Cx43 expression and function in cells of the brain meninges and thus affect BBB permeability. In the present study, we have investigated the effect of MHV infection on Cx43 localization and function in mouse brain meningeal cells and primary meningeal fibroblasts. Our results show that MHV infection reduces total Cx43 levels and causes its intracellular retention in the perinuclear compartments reducing its surface expression. Reduced trafficking of Cx43 to the cell surface in MHV-infected cells is associated with loss functional GJIC. Together, these data suggest that MHV infection can directly affect expression and cellular distribution of Cx43 resulting in loss of Cx43-mediated GJIC in meningeal fibroblasts, which may be associated with altered BBB function observed in acute infection.
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Affiliation(s)
- Abhishek Bose
- Department of Biological Sciences, Indian Institute of Science Education and Research Kolkata (IISER-K), Mohanpur, Nadia, West Bengal, 741246, India
| | - Rahul Basu
- Department of Biological Sciences, Indian Institute of Science Education and Research Kolkata (IISER-K), Mohanpur, Nadia, West Bengal, 741246, India
| | - Mahua Maulik
- Department of Biological Sciences, Indian Institute of Science Education and Research Kolkata (IISER-K), Mohanpur, Nadia, West Bengal, 741246, India
| | - Jayasri Das Sarma
- Department of Biological Sciences, Indian Institute of Science Education and Research Kolkata (IISER-K), Mohanpur, Nadia, West Bengal, 741246, India.
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Genotype 2 Strains of Porcine Reproductive and Respiratory Syndrome Virus Dysregulate Alveolar Macrophage Cytokine Production via the Unfolded Protein Response. J Virol 2018; 92:JVI.01251-17. [PMID: 29070690 DOI: 10.1128/jvi.01251-17] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2017] [Accepted: 10/17/2017] [Indexed: 11/20/2022] Open
Abstract
Porcine reproductive and respiratory syndrome virus (PRRSV) infects alveolar macrophages (AMϕ), causing dysregulated alpha interferon (IFN-α) and tumor necrosis factor alpha (TNF-α) production through a mechanism(s) yet to be resolved. Here, we show that AMϕ infected with PRRSV secreted a reduced quantity of IFN-α following exposure of the cell to synthetic double-stranded RNA (dsRNA). This reduction did not correlate with reduced IFNA1 gene transcription. Rather, it coincided with two events that occurred late during infection and that were indicative of translational attenuation, specifically, the activation of eukaryotic translation initiation factor 2α (eIF2α) and the appearance of stress granules. Notably, the typical rapid production of TNF-α by AMϕ exposed to lipopolysaccharide (LPS) was suppressed or enhanced by PRRSV, depending on when the LPS exposure occurred after virus infection. If exposure was delayed until 6 h postinfection (hpi) so that the development of the cytokine response coincided with the time in which phosphorylation of eIF2α by the stress sensor PERK (protein kinase RNA [PKR]-like ER kinase) occurred, inhibition of TNF-α production was observed. However, if LPS exposure occurred at 2 hpi, prior to a detectable onset of eIF2α phosphorylation, a synergistic response was observed due to the earlier NF-κB activation via the stress sensor IRE1α (inositol-requiring kinase 1α). These results suggest that the asynchronous actions of two branches of the unfolded protein response (UPR), namely, IRE1α, and PERK, activated by ER stress resulting from the virus infection, are associated with enhancement or suppression of TNF-α production, respectively.IMPORTANCE The activation of AMϕ is controlled by the microenvironment to deter excessive proinflammatory cytokine responses to microbes that could impair lung function. However, viral pneumonias frequently become complicated by secondary bacterial infections, triggering severe inflammation, lung dysfunction, and death. Although dysregulated cytokine production is considered an integral component of the exacerbated inflammatory response in viral-bacterial coinfections, the mechanism responsible for this event is unknown. Here, we show that PRRSV replication in porcine AMϕ triggers activation of the IRE1α branch of the UPR, which causes a synergistic TNF-α response to LPS exposure. Thus, the severe pneumonias typically observed in pigs afflicted with PRRSV-bacterial coinfections could result from dysregulated, overly robust TNF-α production in response to opportunistic pathogens that is not commensurate with the typical restrained reaction by uninfected AMϕ. This notion could help in the design of therapies to mitigate the severity of viral and bacterial coinfections.
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Effects of oxidative and thermal stresses on stress granule formation in human induced pluripotent stem cells. PLoS One 2017; 12:e0182059. [PMID: 28746394 PMCID: PMC5528897 DOI: 10.1371/journal.pone.0182059] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2017] [Accepted: 07/11/2017] [Indexed: 12/14/2022] Open
Abstract
Stress Granules (SGs) are dynamic ribonucleoprotein aggregates, which have been observed in cells subjected to environmental stresses, such as oxidative stress and heat shock (HS). Although pluripotent stem cells (PSCs) are highly sensitive to oxidative stress, the role of SGs in regulating PSC self-renewal and differentiation has not been fully elucidated. Here we found that sodium arsenite (SA) and HS, but not hydrogen peroxide (H2O2), induce SG formation in human induced (hi) PSCs. Particularly, we found that these granules contain the well-known SG proteins (G3BP, TIAR, eIF4E, eIF4A, eIF3B, eIF4G, and PABP), were found in juxtaposition to processing bodies (PBs), and were disassembled after the removal of the stress. Moreover, we showed that SA and HS, but not H2O2, promote eIF2α phosphorylation in hiPSCs forming SGs. Analysis of pluripotent protein expression showed that HS significantly reduced all tested markers (OCT4, SOX2, NANOG, KLF4, L1TD1, and LIN28A), while SA selectively reduced the expression levels of NANOG and L1TD1. Finally, in addition to LIN28A and L1TD1, we identified DPPA5 (pluripotent protein marker) as a novel component of SGs. Collectively, these results provide new insights into the molecular cues of hiPSCs responses to environmental insults.
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VanLeuven JT, Ridenhour BJ, Gonzalez AJ, Miller CR, Miura TA. Lung epithelial cells have virus-specific and shared gene expression responses to infection by diverse respiratory viruses. PLoS One 2017; 12:e0178408. [PMID: 28575086 PMCID: PMC5456070 DOI: 10.1371/journal.pone.0178408] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2017] [Accepted: 05/13/2017] [Indexed: 12/28/2022] Open
Abstract
The severity of respiratory viral infections is partially determined by the cellular response mounted by infected lung epithelial cells. Disease prevention and treatment is dependent on our understanding of the shared and unique responses elicited by diverse viruses, yet few studies compare host responses to viruses from different families while controlling other experimental parameters. Murine models are commonly used to study the pathogenesis of respiratory viral infections, and in vitro studies using murine cells provide mechanistic insight into the pathogenesis observed in vivo. We used microarray analysis to compare changes in gene expression of murine lung epithelial cells infected individually by three respiratory viruses causing mild (rhinovirus, RV1B), moderate (coronavirus, MHV-1), and severe (influenza A virus, PR8) disease in mice. RV1B infection caused numerous gene expression changes, but the differential effect peaked at 12 hours post-infection. PR8 altered an intermediate number of genes whose expression continued to change through 24 hours. MHV-1 had comparatively few effects on host gene expression. The viruses elicited highly overlapping responses in antiviral genes, though MHV-1 induced a lower type I interferon response than the other two viruses. Signature genes were identified for each virus and included host defense genes for PR8, tissue remodeling genes for RV1B, and transcription factors for MHV-1. Our comparative approach identified universal and specific transcriptional signatures of virus infection that can be used to distinguish shared and virus-specific mechanisms of pathogenesis in the respiratory tract.
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Affiliation(s)
- James T. VanLeuven
- Center for Modeling Complex Interactions, University of Idaho, Moscow, Idaho, United States of America
| | - Benjamin J. Ridenhour
- Center for Modeling Complex Interactions, University of Idaho, Moscow, Idaho, United States of America
- Department of Biological Sciences, University of Idaho, Moscow, Idaho, United States of America
| | - Andres J. Gonzalez
- Center for Modeling Complex Interactions, University of Idaho, Moscow, Idaho, United States of America
- Department of Biological Sciences, University of Idaho, Moscow, Idaho, United States of America
| | - Craig R. Miller
- Center for Modeling Complex Interactions, University of Idaho, Moscow, Idaho, United States of America
- Department of Biological Sciences, University of Idaho, Moscow, Idaho, United States of America
- Department of Mathematics, University of Idaho, Moscow, Idaho, United States of America
| | - Tanya A. Miura
- Center for Modeling Complex Interactions, University of Idaho, Moscow, Idaho, United States of America
- Department of Biological Sciences, University of Idaho, Moscow, Idaho, United States of America
- * E-mail:
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Zhou Y, Fang L, Wang D, Cai K, Chen H, Xiao S. Porcine Reproductive and Respiratory Syndrome Virus Infection Induces Stress Granule Formation Depending on Protein Kinase R-like Endoplasmic Reticulum Kinase (PERK) in MARC-145 Cells. Front Cell Infect Microbiol 2017; 7:111. [PMID: 28421170 PMCID: PMC5378712 DOI: 10.3389/fcimb.2017.00111] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2017] [Accepted: 03/20/2017] [Indexed: 11/21/2022] Open
Abstract
Stress granules (SGs) are sites of mRNA storage that are formed in response to various conditions of stress, including viral infections. Porcine reproductive and respiratory syndrome virus (PRRSV) is an Arterivirus that has been devastating the swine industry worldwide since the late 1980s. In this study, we found that infection of PRRSV strain WUH3 (genotype 2 PRRSV) induced stable formation of robust SGs in MARC-145 cells, as demonstrated by the recruitment of marker proteins of SGs, including TIA1, G3BP1, and eIF3η. Treatment with specific inhibitors or siRNAs against the stress kinases that are involved in SG formation revealed that PRRSV induced SG formation through a PERK (protein kinase R–like endoplasmic reticulum kinase)-dependent mechanism. Impairment of SG assembly by concomitant knockdown of the SG marker proteins (TIA1, G3BP1, and TIAR) did not affect PRRSV growth, while significantly enhanced PRRSV-induced NF-κB subunit p65 phosphorylation and inflammatory cytokine production. Taken together, our results demonstrate that PRRSV induces SG formation via a PERK-dependent pathway and that SGs are involved in the signaling pathway of the PRRSV-induced inflammatory response in MARC-145 cells.
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Affiliation(s)
- Yanrong Zhou
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural UniversityWuhan, China.,The Cooperative Innovation Center for Sustainable Pig Production, Huazhong Agricultural UniversityWuhan, China
| | - Liurong Fang
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural UniversityWuhan, China.,The Cooperative Innovation Center for Sustainable Pig Production, Huazhong Agricultural UniversityWuhan, China
| | - Dang Wang
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural UniversityWuhan, China.,The Cooperative Innovation Center for Sustainable Pig Production, Huazhong Agricultural UniversityWuhan, China
| | - Kaimei Cai
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural UniversityWuhan, China.,The Cooperative Innovation Center for Sustainable Pig Production, Huazhong Agricultural UniversityWuhan, China
| | - Huanchun Chen
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural UniversityWuhan, China.,The Cooperative Innovation Center for Sustainable Pig Production, Huazhong Agricultural UniversityWuhan, China
| | - Shaobo Xiao
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural UniversityWuhan, China.,The Cooperative Innovation Center for Sustainable Pig Production, Huazhong Agricultural UniversityWuhan, China
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48
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Middle East Respiratory Coronavirus Accessory Protein 4a Inhibits PKR-Mediated Antiviral Stress Responses. PLoS Pathog 2016; 12:e1005982. [PMID: 27783669 PMCID: PMC5081173 DOI: 10.1371/journal.ppat.1005982] [Citation(s) in RCA: 143] [Impact Index Per Article: 17.9] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2016] [Accepted: 10/06/2016] [Indexed: 02/06/2023] Open
Abstract
Middle East respiratory syndrome coronavirus (MERS-CoV) causes severe respiratory infections that can be life-threatening. To establish an infection and spread, MERS-CoV, like most other viruses, must navigate through an intricate network of antiviral host responses. Besides the well-known type I interferon (IFN-α/β) response, the protein kinase R (PKR)-mediated stress response is being recognized as an important innate response pathway. Upon detecting viral dsRNA, PKR phosphorylates eIF2α, leading to the inhibition of cellular and viral translation and the formation of stress granules (SGs), which are increasingly recognized as platforms for antiviral signaling pathways. It is unknown whether cellular infection by MERS-CoV activates the stress response pathway or whether the virus has evolved strategies to suppress this infection-limiting pathway. Here, we show that cellular infection with MERS-CoV does not lead to the formation of SGs. By transiently expressing the MERS-CoV accessory proteins individually, we identified a role of protein 4a (p4a) in preventing activation of the stress response pathway. Expression of MERS-CoV p4a impeded dsRNA-mediated PKR activation, thereby rescuing translation inhibition and preventing SG formation. In contrast, p4a failed to suppress stress response pathway activation that is independent of PKR and dsRNA. MERS-CoV p4a is a dsRNA binding protein. Mutation of the dsRNA binding motif in p4a disrupted its PKR antagonistic activity. By inserting p4a in a picornavirus lacking its natural PKR antagonist, we showed that p4a exerts PKR antagonistic activity also under infection conditions. However, a recombinant MERS-CoV deficient in p4a expression still suppressed SG formation, indicating the expression of at least one other stress response antagonist. This virus also suppressed the dsRNA-independent stress response pathway. Thus, MERS-CoV interferes with antiviral stress responses using at least two different mechanisms, with p4a suppressing the PKR-dependent stress response pathway, probably by sequestering dsRNA. MERS-CoV p4a represents the first coronavirus stress response antagonist described.
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Abstract
Coronaviruses have large positive-strand RNA genomes that are 5' capped and 3' polyadenylated. The 5'-terminal two-thirds of the genome contain two open reading frames (ORFs), 1a and 1b, that together make up the viral replicase gene and encode two large polyproteins that are processed by viral proteases into 15-16 nonstructural proteins, most of them being involved in viral RNA synthesis. ORFs located in the 3'-terminal one-third of the genome encode structural and accessory proteins and are expressed from a set of 5' leader-containing subgenomic mRNAs that are synthesized by a process called discontinuous transcription. Coronavirus protein synthesis not only involves cap-dependent translation mechanisms but also employs regulatory mechanisms, such as ribosomal frameshifting. Coronavirus replication is known to affect cellular translation, involving activation of stress-induced signaling pathways, and employing viral proteins that affect cellular mRNA translation and RNA stability. This chapter describes our current understanding of the mechanisms involved in coronavirus mRNA translation and changes in host mRNA translation observed in coronavirus-infected cells.
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Affiliation(s)
- K Nakagawa
- The University of Texas Medical Branch, Galveston, TX, United States
| | - K G Lokugamage
- The University of Texas Medical Branch, Galveston, TX, United States
| | - S Makino
- The University of Texas Medical Branch, Galveston, TX, United States; Center for Biodefense and Emerging Infectious Diseases, The University of Texas Medical Branch, Galveston, TX, United States; UTMB Center for Tropical Diseases, The University of Texas Medical Branch, Galveston, TX, United States; Sealy Center for Vaccine Development, The University of Texas Medical Branch, Galveston, TX, United States; Institute for Human Infections and Immunity, The University of Texas Medical Branch, Galveston, TX, United States.
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50
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Infectious Bronchitis Coronavirus Limits Interferon Production by Inducing a Host Shutoff That Requires Accessory Protein 5b. J Virol 2016; 90:7519-7528. [PMID: 27279618 DOI: 10.1128/jvi.00627-16] [Citation(s) in RCA: 55] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2016] [Accepted: 06/01/2016] [Indexed: 01/08/2023] Open
Abstract
UNLABELLED During infection of their host cells, viruses often inhibit the production of host proteins, a process that is referred to as host shutoff. By doing this, viruses limit the production of antiviral proteins and increase production capacity for viral proteins. Coronaviruses from the genera Alphacoronavirus and Betacoronavirus, such as severe acute respiratory syndrome coronavirus (SARS-CoV), establish host shutoff via their nonstructural protein 1 (nsp1). The Gammacoronavirus and Deltacoronavirus genomes, however, do not encode nsp1, and it has been suggested that these viruses do not induce host shutoff. Here, we show that the Gammacoronavirus infectious bronchitis virus (IBV) does induce host shutoff, and we find that its accessory protein 5b is indispensable for this function. Importantly, we found that 5b-null viruses, unlike wild-type viruses, induce production of high concentrations of type I interferon protein in vitro, indicating that host shutoff by IBV plays an important role in antagonizing the host's innate immune response. Altogether, we demonstrate that 5b is a functional equivalent of nsp1, thereby answering the longstanding question of whether lack of nsp1 in gammacoronaviruses is compensated for by another viral protein. As such, our study is a significant step forward in the understanding of coronavirus biology and closes a gap in the understanding of some IBV virulence strategies. IMPORTANCE Many viruses inhibit protein synthesis by their host cell to enhance virus replication and to antagonize antiviral defense mechanisms. This process is referred to as host shutoff. We studied gene expression and protein synthesis in chicken cells infected with the important poultry pathogen infectious bronchitis virus (IBV). We show that IBV inhibits synthesis of host proteins, including that of type I interferon, a key component of the antiviral response. The IBV-induced host shutoff, however, does not require degradation of host RNA. Furthermore, we demonstrate that accessory protein 5b of IBV plays a crucial role in the onset of host shutoff. Our findings suggest that inhibition of host protein synthesis is a common feature of coronaviruses and primarily serves to inhibit the antiviral response of the host.
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