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Alfadhli A, Bates TA, Barklis RL, Romanaggi C, Tafesse FG, Barklis E. A Nanobody Interaction with SARS-CoV-2 Spike Allows the Versatile Targeting of Lentivirus Vectors. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.06.597774. [PMID: 38895228 PMCID: PMC11185593 DOI: 10.1101/2024.06.06.597774] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/21/2024]
Abstract
While investigating methods to target gene delivery vectors to specific cell types, we examined the potential of using a nanobody against the SARS-CoV-2 Spike protein receptor binding domain to direct lentivirus infection of Spike-expressing cells. Using three different approaches, we found that lentiviruses with surface-exposed nanobody domains selectively infect Spike-expressing cells. The targeting is dependent on the fusion function of Spike, and conforms to a model in which nanobody binding to the Spike protein triggers the Spike fusion machinery. The nanobody-Spike interaction also is capable of directing cell-cell fusion, and the selective infection of nanobody-expressing cells by Spike-pseudotyped lentivirus vectors. Significantly, cells infected with SARS-CoV-2 are efficiently and selectively infected by lentivirus vectors pseudotyped with a chimeric nanobody protein. Our results suggest that cells infected by any virus that forms syncytia may be targeted for gene delivery using an appropriate nanobody or virus receptor mimic. Vectors modified in this fashion may prove useful in the delivery of immunomodulators to infected foci to mitigate the effects of viral infections. IMPORTANCE We have discovered that lentiviruses decorated on their surfaces with a nanobody against the SARS-CoV-2 Spike protein selectively infect Spike-expressing cells. Infection is dependent on the specificity of the nanobody and the fusion function of the Spike protein, and conforms to a reverse fusion model, in which nanobody binding to Spike triggers the Spike fusion machinery. The nanobody-Spike interaction also can drive cell-cell fusion, and infection of nanobody-expressing cells with viruses carrying the Spike protein. Importantly, cells infected with SARS-CoV-2 are selectively infected with nanobody-decorated lentiviruses. These results suggest that cells infected by any virus that expresses an active receptor-binding fusion protein may be targeted by vectors for delivery of cargoes to mitigate infections.
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Liu S, Zhang L, Fu W, Liang Z, Yu Y, Li T, Tong J, Liu F, Nie J, Lu Q, Lu S, Huang W, Wang Y. Optimization and validation of a virus-like particle pseudotyped virus neutralization assay for SARS-CoV-2. MedComm (Beijing) 2024; 5:e615. [PMID: 38881676 PMCID: PMC11176738 DOI: 10.1002/mco2.615] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Revised: 05/20/2024] [Accepted: 05/21/2024] [Indexed: 06/18/2024] Open
Abstract
Spike-protein-based pseudotyped viruses were used to evaluate vaccines during the COVID-19 pandemic. However, they cannot be used to evaluate the envelope (E), membrane (M), and nucleocapsid (N) proteins. The first generation of virus-like particle (VLP) pseudotyped viruses contains these four structural proteins, but their titers for wild-type severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are relatively low, even lower for the omicron variant, rendering them unsuitable for neutralizing antibody detection. By optimizing the spike glycoprotein signal peptide, substituting the complexed M and E proteins with SARS-COV-1, optimizing the N protein with specific mutations (P199L, S202R, and R203M), and truncating the packaging signal, PS9, we increased the titer of the wild-type VLP pseudotyped virus over 100-fold, and successfully packaged the omicron VLP pseudotyped virus. The SARS-CoV-2 VLP pseudotyped viruses maintained stable titers, even through 10 freeze-thaw cycles. The key neutralization assay parameters were optimized, including cell type, cell number, and viral inoculum. The assay demonstrated minimal variation in both intra- and interassay results, at 11.5% and 11.1%, respectively. The correlation between the VLP pseudotyped virus and the authentic virus was strong (r = 0.9). Suitable for high-throughput detection of various mutant strains in clinical serum. In summary, we have developed a reliable neutralization assay for SARS-CoV-2 based on VLP pseudotyped virus.
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Affiliation(s)
- Shuo Liu
- Changping Laboratory Beijing China
- Chinese Academy of Medical Sciences & Peking Union Medical College Beijing China
| | - Li Zhang
- Division of HIV/AIDS and Sex-Transmitted Virus Vaccines National Institutes for Food and Drug Control (NIFDC) Beijing China
| | - Wangjun Fu
- CAS Key Laboratory of Infection and Immunity, National Laboratory of Macromolecules, Institute of Biophysics Chinese Academy of Sciences Beijing China
- University of Chinese Academy of Sciences Beijing China
| | - Ziteng Liang
- Chinese Academy of Medical Sciences & Peking Union Medical College Beijing China
- Division of HIV/AIDS and Sex-Transmitted Virus Vaccines National Institutes for Food and Drug Control (NIFDC) Beijing China
| | | | - Tao Li
- Division of HIV/AIDS and Sex-Transmitted Virus Vaccines National Institutes for Food and Drug Control (NIFDC) Beijing China
| | - Jincheng Tong
- Division of HIV/AIDS and Sex-Transmitted Virus Vaccines National Institutes for Food and Drug Control (NIFDC) Beijing China
| | - Fan Liu
- Division of HIV/AIDS and Sex-Transmitted Virus Vaccines National Institutes for Food and Drug Control (NIFDC) Beijing China
| | - Jianhui Nie
- Division of HIV/AIDS and Sex-Transmitted Virus Vaccines National Institutes for Food and Drug Control (NIFDC) Beijing China
| | - Qiong Lu
- Division of HIV/AIDS and Sex-Transmitted Virus Vaccines National Institutes for Food and Drug Control (NIFDC) Beijing China
| | - Shuaiyao Lu
- National Kunming High-level Biosafety Primate Research Center, Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Kunming Yunnan, China Kunming China
| | - Weijin Huang
- Division of HIV/AIDS and Sex-Transmitted Virus Vaccines National Institutes for Food and Drug Control (NIFDC) Beijing China
| | - Youchun Wang
- Changping Laboratory Beijing China
- Chinese Academy of Medical Sciences & Peking Union Medical College Beijing China
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Verma VK, Yadav R, Beevi SS, Mohod AS, Mancharla S, Damodar N, Darapuneni RC, Reddy SG, Upendram P, Salt MN, Kulkarni P, Sahu S, Bollineni BR. Differential host responses to COVID-19: Unraveling the complexity. Diagn Microbiol Infect Dis 2024; 109:116281. [PMID: 38537507 DOI: 10.1016/j.diagmicrobio.2024.116281] [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: 12/20/2023] [Revised: 03/20/2024] [Accepted: 03/21/2024] [Indexed: 04/30/2024]
Abstract
These diverse outcomes of Covid-19 are influenced by various factors including age, gender, underlying health conditions, immune responses, viral variants, external factors, and overall quality of life. Demographic analysis of patients aged 0-18 years experienced mild to moderate cases, above 55 years with co-morbidities, were more severely affected.COVID-19 incidence was higher in males (58 %) & (42 %) in females. The reduced expression of Toll-like receptors (TLR) in severe and critical patients is a crucial determinant. This reduced TLR expression is primarily attributed to the dominance of the PLpro viral protein of COVID-19. Disease enrichment analysis highlights the long-term impact of COVID-19, which can lead to post-recovery complications such as hypertension, diabetes, cardiac diseases, and brain ischemia in Covid-19 patients. In conclusion, a comprehensive strategy targeting key factors like PLpro, TLR, and inflammatory cytokines such as IL-1 and IL-6 could offer an effective approach to mitigate the devastating effects of COVID-19.
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Affiliation(s)
- Vinod Kumar Verma
- KIMS Foundation and Research Centre, KIMS Hospital, Minister Road, Secunderabad, Telangana, India.
| | - Rahul Yadav
- KIMS Foundation and Research Centre, KIMS Hospital, Minister Road, Secunderabad, Telangana, India
| | - Syed Sultan Beevi
- KIMS Foundation and Research Centre, KIMS Hospital, Minister Road, Secunderabad, Telangana, India.
| | - Annie S Mohod
- KIMS Foundation and Research Centre, KIMS Hospital, Minister Road, Secunderabad, Telangana, India
| | - Shravya Mancharla
- KIMS Foundation and Research Centre, KIMS Hospital, Minister Road, Secunderabad, Telangana, India
| | - Neha Damodar
- KIMS Foundation and Research Centre, KIMS Hospital, Minister Road, Secunderabad, Telangana, India
| | | | - Sukurtha Gopal Reddy
- Diagnostics Division, Krishna Institute of Medical Sciences, Minister Road, Secunderabad, Telangana, India
| | - Pavani Upendram
- Department of Genetics, Krishna Institute of Medical Sciences, Minister Road, Secunderabad, Telangana, India
| | - Mohammad Nawaz Salt
- Department of Pulmonology, Krishna Institute of Medical Sciences, Minister Road, Secunderabad, Telangana, India
| | - Praveen Kulkarni
- Department of Internal Medicine, Krishna Institute of Medical Sciences, Minister Road, Secunderabad, Telangana, India
| | - Sambit Sahu
- Department of Critical care, Krishna Institute of Medical Sciences, Minister Road, Secunderabad, Telangana, India
| | - Bhaskar Rao Bollineni
- KIMS Foundation and Research Centre, KIMS Hospital, Minister Road, Secunderabad, Telangana, India
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54
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Tomezsko PJ, Ford CT, Meyer AE, Michaleas AM, Jaimes R. Human cytokine and coronavirus nucleocapsid protein interactivity using large-scale virtual screens. FRONTIERS IN BIOINFORMATICS 2024; 4:1397968. [PMID: 38855143 PMCID: PMC11157076 DOI: 10.3389/fbinf.2024.1397968] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2024] [Accepted: 04/26/2024] [Indexed: 06/11/2024] Open
Abstract
Understanding the interactions between SARS-CoV-2 and the human immune system is paramount to the characterization of novel variants as the virus co-evolves with the human host. In this study, we employed state-of-the-art molecular docking tools to conduct large-scale virtual screens, predicting the binding affinities between 64 human cytokines against 17 nucleocapsid proteins from six betacoronaviruses. Our comprehensive in silico analyses reveal specific changes in cytokine-nucleocapsid protein interactions, shedding light on potential modulators of the host immune response during infection. These findings offer valuable insights into the molecular mechanisms underlying viral pathogenesis and may guide the future development of targeted interventions. This manuscript serves as insight into the comparison of deep learning based AlphaFold2-Multimer and the semi-physicochemical based HADDOCK for protein-protein docking. We show the two methods are complementary in their predictive capabilities. We also introduce a novel algorithm for rapidly assessing the binding interface of protein-protein docks using graph edit distance: graph-based interface residue assessment function (GIRAF). The high-performance computational framework presented here will not only aid in accelerating the discovery of effective interventions against emerging viral threats, but extend to other applications of high throughput protein-protein screens.
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Affiliation(s)
| | - Colby T. Ford
- Tuple LLC, Charlotte, NC, United States
- University of North Carolina at Charlotte, Department of Bioinformatics and Genomics, Charlotte, NC, United States
- University of North Carolina at Charlotte, Center for Computational Intelligence to Predict Health and Environmental Risks (CIPHER), Charlotte, NC, United States
| | | | | | - Rafael Jaimes
- MIT Lincoln Laboratory, Lexington, MA, United States
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55
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Kumar A, Kaushal R, Sharma H, Sharma K, Menon MB, P V. Mapping of long stretches of highly conserved sequences in over 6 million SARS-CoV-2 genomes. Brief Funct Genomics 2024; 23:256-264. [PMID: 37461194 DOI: 10.1093/bfgp/elad027] [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: 01/27/2023] [Revised: 06/15/2023] [Accepted: 06/26/2023] [Indexed: 05/18/2024] Open
Abstract
We identified 11 conserved stretches in over 6.3 million SARS-CoV-2 genomes including all the major variants of concerns. Each conserved stretch is ≥100 nucleotides in length with ≥99.9% conservation at each nucleotide position. Interestingly, six of the eight conserved stretches in ORF1ab overlapped significantly with well-folded experimentally verified RNA secondary structures. Furthermore, two of the conserved stretches were mapped to regions within the S2-subunit that undergo dynamic structural rearrangements during viral fusion. In addition, the conserved stretches were significantly depleted for zinc-finger antiviral protein (ZAP) binding sites, which facilitated the recognition and degradation of viral RNA. These highly conserved stretches in the SARS-CoV-2 genome were poorly conserved at the nucleotide level among closely related β-coronaviruses, thus representing ideal targets for highly specific and discriminatory diagnostic assays. Our findings highlight the role of structural constraints at both RNA and protein levels that contribute to the sequence conservation of specific genomic regions in SARS-CoV-2.
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Affiliation(s)
- Akhil Kumar
- Kusuma School of Biological Sciences, Indian Institute of Technology Delhi, New Delhi, India
| | - Rishika Kaushal
- Kusuma School of Biological Sciences, Indian Institute of Technology Delhi, New Delhi, India
| | - Himanshi Sharma
- Kusuma School of Biological Sciences, Indian Institute of Technology Delhi, New Delhi, India
| | - Khushboo Sharma
- Kusuma School of Biological Sciences, Indian Institute of Technology Delhi, New Delhi, India
| | - Manoj B Menon
- Kusuma School of Biological Sciences, Indian Institute of Technology Delhi, New Delhi, India
| | - Vivekanandan P
- Kusuma School of Biological Sciences, Indian Institute of Technology Delhi, New Delhi, India
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56
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Mao D, Liu S, Phan AT, Renner S, Sun Y, Wang TT, Zhu Y. The TRAF3-DYRK1A-RAD54L2 complex maintains ACE2 expression to promote SARS-CoV-2 infection. J Virol 2024; 98:e0034724. [PMID: 38651897 PMCID: PMC11092330 DOI: 10.1128/jvi.00347-24] [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: 02/21/2024] [Accepted: 03/22/2024] [Indexed: 04/25/2024] Open
Abstract
Angiotensin converting enzyme 2 (ACE2), the host receptor for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, is differentially expressed in a wide variety of tissues and cell types. The expression of ACE2 is under tight regulation, but the mechanisms regulating ACE2 expression have not yet been well defined. Through a genome-wide CRISPR knockout screen, we discovered that host factors TRAF3, DYRK1A, and RAD54L2 (TDR) form a complex to regulate the expression of ACE2. Knockout of TRAF3, DYRK1A, or RAD54L2 reduces the mRNA levels of ACE2 and inhibits the cellular entry of SARS-CoV-2. On the other hand, SARS-CoV-2 continuously evolves by genetic mutations for the adaption to the host. We have identified mutations in spike (S) (P1079T) and nucleocapsid (N) (S194L) that enhance the replication of SARS-CoV-2 in cells that express ACE2 at a low level. Our results have revealed the mechanisms for the transcriptional regulation of ACE2 and the adaption of SARS-CoV-2. IMPORTANCE The expression of ACE2 is essential for the entry of SARS-CoV-2 into host cells. We identify a new complex-the TDR complex-that acts to maintain the abundance of ACE2 in host cells. The identification and characterization of the TDR complex provide new targets for the development of therapeutics against SARS-CoV-2 infection. By analysis of SARS-CoV-2 virus replicating in cells expressing low levels of ACE2, we identified mutations in spike (P1079T) and nucleocapsid (S194L) that overcome the restriction of limited ACE2. Functional analysis of these key amino acids in S and N extends our knowledge of the impact of SARS-CoV-2 variants on virus infection and transmission.
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Affiliation(s)
- Dexin Mao
- Department of Microbiology and Immunology, University of Rochester Medical Center, Rochester, New York, USA
| | - Shufeng Liu
- Division of Viral Products, Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, Maryland, USA
| | - An Thanh Phan
- Department of Microbiology and Immunology, University of Rochester Medical Center, Rochester, New York, USA
| | - Stephanie Renner
- Department of Microbiology and Immunology, University of Rochester Medical Center, Rochester, New York, USA
| | - Yan Sun
- Department of Microbiology and Immunology, University of Rochester Medical Center, Rochester, New York, USA
| | - Tony T. Wang
- Division of Viral Products, Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, Maryland, USA
| | - Yiping Zhu
- Department of Microbiology and Immunology, University of Rochester Medical Center, Rochester, New York, USA
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57
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Deinhardt-Emmer S, Deshpande S, Kitazawa K, Herman AB, Bons J, Rose JP, Kumar PA, Anerillas C, Neri F, Ciotlos S, Perez K, Köse-Vogel N, Häder A, Abdelmohsen K, Löffler B, Gorospe M, Desprez PY, Melov S, Furman D, Schilling B, Campisi J. Role of the Senescence-Associated Factor Dipeptidyl Peptidase 4 in the Pathogenesis of SARS-CoV-2 Infection. Aging Dis 2024; 15:1398-1415. [PMID: 37728586 PMCID: PMC11081172 DOI: 10.14336/ad.2023.0812] [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: 03/28/2023] [Accepted: 08/12/2023] [Indexed: 09/21/2023] Open
Abstract
During cellular senescence, persistent growth arrest and changes in protein expression programs are accompanied by a senescence-associated secretory phenotype (SASP). In this study, we detected the upregulation of the SASP-related protein dipeptidyl peptidase 4 (DDP4) in human primary lung cells rendered senescent by exposure to ionizing radiation. DPP4 is an exopeptidase that plays a crucial role in the cleavage of various proteins, resulting in the loss of N-terminal dipeptides and proinflammatory effects. Interestingly, our data revealed an association between severe coronavirus disease 2019 (COVID-19) and DDP4, namely that DPP4 levels increased in the plasma of patients with COVID-19 and were correlated with age and disease progression. Although we could not determine the direct effect of DDP4 on viral replication, mechanistic studies in cell culture revealed a negative impact on the expression of the tight junction protein zonula occludens-1 (ZO-1), which contributes to epithelial barrier function. Mass spectrometry analysis indicated that DPP4 overexpressing cells exhibited a decrease in ZO-1 and increased expression of pro-inflammatory cytokines and chemokines. By investigating the effect of DPP4 on the barrier function of human primary cells, we detected an increase in ZO-1 using DPP4 inhibitors. These results provide an important contribution to our understanding of DPP4 in the context of senescence, suggesting that DPP4 plays a major role as part of the SASP. Our results provide evidence that cellular senescence, a hallmark of aging, has an important impact on respiratory infections.
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Affiliation(s)
- Stefanie Deinhardt-Emmer
- Buck Institute for Research on Aging, Novato, CA 94945, USA.
- Institute of Medical Microbiology, Jena University Hospital, Germany.
| | | | - Koji Kitazawa
- Buck Institute for Research on Aging, Novato, CA 94945, USA.
| | - Allison B. Herman
- Laboratory of Genetics and Genomics, National Institute on Aging, Intramural Research Program, National Institutes of Health, Baltimore, MD 21224, USA.
| | - Joanna Bons
- Buck Institute for Research on Aging, Novato, CA 94945, USA.
| | - Jacob P. Rose
- Buck Institute for Research on Aging, Novato, CA 94945, USA.
| | | | - Carlos Anerillas
- Laboratory of Genetics and Genomics, National Institute on Aging, Intramural Research Program, National Institutes of Health, Baltimore, MD 21224, USA.
| | - Francesco Neri
- Buck Institute for Research on Aging, Novato, CA 94945, USA.
| | - Serban Ciotlos
- Buck Institute for Research on Aging, Novato, CA 94945, USA.
| | - Kevin Perez
- Buck Institute for Research on Aging, Novato, CA 94945, USA.
| | - Nilay Köse-Vogel
- Institute of Medical Microbiology, Jena University Hospital, Germany.
| | - Antje Häder
- Institute of Medical Microbiology, Jena University Hospital, Germany.
| | - Kotb Abdelmohsen
- Laboratory of Genetics and Genomics, National Institute on Aging, Intramural Research Program, National Institutes of Health, Baltimore, MD 21224, USA.
| | - Bettina Löffler
- Institute of Medical Microbiology, Jena University Hospital, Germany.
| | - Myriam Gorospe
- Laboratory of Genetics and Genomics, National Institute on Aging, Intramural Research Program, National Institutes of Health, Baltimore, MD 21224, USA.
| | | | - Simon Melov
- Buck Institute for Research on Aging, Novato, CA 94945, USA.
| | - David Furman
- Stanford 1000 Immunomes Project, Stanford University School of Medicine, Stanford, CA 94305, USA.
- Buck Artificial Intelligence Platform, Buck Institute for Research on Aging, Novato, CA 94945, USA.
| | | | - Judith Campisi
- Buck Institute for Research on Aging, Novato, CA 94945, USA.
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58
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Sánchez Rivera FJ, Dow LE. How CRISPR Is Revolutionizing the Generation of New Models for Cancer Research. Cold Spring Harb Perspect Med 2024; 14:a041384. [PMID: 37487630 PMCID: PMC11065179 DOI: 10.1101/cshperspect.a041384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/26/2023]
Abstract
Cancers arise through acquisition of mutations in genes that regulate core biological processes like cell proliferation and cell death. Decades of cancer research have led to the identification of genes and mutations causally involved in disease development and evolution, yet defining their precise function across different cancer types and how they influence therapy responses has been challenging. Mouse models have helped define the in vivo function of cancer-associated alterations, and genome-editing approaches using CRISPR have dramatically accelerated the pace at which these models are developed and studied. Here, we highlight how CRISPR technologies have impacted the development and use of mouse models for cancer research and discuss the many ways in which these rapidly evolving platforms will continue to transform our understanding of this disease.
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Affiliation(s)
- Francisco J Sánchez Rivera
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, Massachusetts 02142, USA
- Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts 02142, USA
| | - Lukas E Dow
- Sandra and Edward Meyer Cancer Center, Weill Cornell Medicine, New York, New York 10065, USA
- Department of Biochemistry, Weill Cornell Medicine, New York, New York 10065, USA
- Department of Medicine, Weill Cornell Medicine, New York, New York 10065, USA
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59
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Nguyen A, Zhao H, Myagmarsuren D, Srinivasan S, Wu D, Chen J, Piszczek G, Schuck P. Modulation of Biophysical Properties of Nucleocapsid Protein in the Mutant Spectrum of SARS-CoV-2. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.11.21.568093. [PMID: 38045241 PMCID: PMC10690151 DOI: 10.1101/2023.11.21.568093] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/05/2023]
Abstract
Genetic diversity is a hallmark of RNA viruses and the basis for their evolutionary success. Taking advantage of the uniquely large genomic database of SARS-CoV-2, we examine the impact of mutations across the spectrum of viable amino acid sequences on the biophysical phenotypes of the highly expressed and multifunctional nucleocapsid protein. We find variation in the physicochemical parameters of its extended intrinsically disordered regions (IDRs) sufficient to allow local plasticity, but also exhibiting functional constraints that similarly occur in related coronaviruses. In biophysical experiments with several N-protein species carrying mutations associated with major variants, we find that point mutations in the IDRs can have nonlocal impact and modulate thermodynamic stability, secondary structure, protein oligomeric state, particle formation, and liquid-liquid phase separation. In the Omicron variant, distant mutations in different IDRs have compensatory effects in shifting a delicate balance of interactions controlling protein assembly properties, and include the creation of a new protein-protein interaction interface in the N-terminal IDR through the defining P13L mutation. A picture emerges where genetic diversity is accompanied by significant variation in biophysical characteristics of functional N-protein species, in particular in the IDRs.
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Affiliation(s)
- Ai Nguyen
- Laboratory of Dynamics of Macromolecular Assembly, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, MD 20892, USA
| | - Huaying Zhao
- Laboratory of Dynamics of Macromolecular Assembly, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, MD 20892, USA
| | - Dulguun Myagmarsuren
- Laboratory of Dynamics of Macromolecular Assembly, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, MD 20892, USA
| | - Sanjana Srinivasan
- Laboratory of Dynamics of Macromolecular Assembly, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, MD 20892, USA
| | - Di Wu
- Biophysics Core Facility, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Jiji Chen
- Advanced Imaging and Microscopy Resource, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, MD 20892, USA
| | - Grzegorz Piszczek
- Biophysics Core Facility, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Peter Schuck
- Laboratory of Dynamics of Macromolecular Assembly, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, MD 20892, USA
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60
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Novkovic M, Banovic Djeri B, Ristivojevic B, Knezevic A, Jankovic M, Tanasic V, Radojicic V, Keckarevic D, Vidanovic D, Tesovic B, Skakic A, Tolinacki M, Moric I, Djordjevic V. Genome sequence diversity of SARS-CoV-2 in Serbia: insights gained from a 3-year pandemic study. Front Microbiol 2024; 15:1332276. [PMID: 38476954 PMCID: PMC10929721 DOI: 10.3389/fmicb.2024.1332276] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Accepted: 01/15/2024] [Indexed: 03/14/2024] Open
Abstract
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), responsible for the COVID-19 pandemic, has been evolving rapidly causing emergence of new variants and health uncertainties. Monitoring the evolution of the virus was of the utmost importance for public health interventions and the development of national and global mitigation strategies. Here, we report national data on the emergence of new variants, their distribution, and dynamics in a 3-year study conducted from March 2020 to the end of January 2023 in the Republic of Serbia. Nasopharyngeal and oropharyngeal swabs from 2,398 COVID-19-positive patients were collected and sequenced using three different next generation technologies: Oxford Nanopore, Ion Torrent, and DNBSeq. In the subset of 2,107 SARS-CoV-2 sequences which met the quality requirements, detection of mutations, assignment to SARS-CoV-2 lineages, and phylogenetic analysis were performed. During the 3-year period, we detected three variants of concern, namely, Alpha (5.6%), Delta (7.4%), and Omicron (70.3%) and one variant of interest-Omicron recombinant "Kraken" (XBB1.5) (<1%), whereas 16.8% of the samples belonged to other SARS-CoV-2 (sub)lineages. The detected SARS-CoV-2 (sub)lineages resulted in eight COVID-19 pandemic waves in Serbia, which correspond to the pandemic waves reported in Europe and the United States. Wave dynamics in Serbia showed the most resemblance with the profile of pandemic waves in southern Europe, consistent with the southeastern European location of Serbia. The samples were assigned to sixteen SARS-CoV-2 Nextstrain clades: 20A, 20B, 20C, 20D, 20E, 20G, 20I, 21J, 21K, 21L, 22A, 22B, 22C, 22D, 22E, and 22F and six different Omicron recombinants (XZ, XAZ, XAS, XBB, XBF, and XBK). The 10 most common mutations detected in the coding and untranslated regions of the SARS-CoV-2 genomes included four mutations affecting the spike protein (S:D614G, S:T478K, S:P681H, and S:S477N) and one mutation at each of the following positions: 5'-untranslated region (5'UTR:241); N protein (N:RG203KR); NSP3 protein (NSP3:F106F); NSP4 protein (NSP4:T492I); NSP6 protein (NSP6: S106/G107/F108 - triple deletion), and NSP12b protein (NSP12b:P314L). This national-level study is the most comprehensive in terms of sequencing and genomic surveillance of SARS-CoV-2 during the pandemic in Serbia, highlighting the importance of establishing and maintaining good national practice for monitoring SARS-CoV-2 and other viruses circulating worldwide.
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Affiliation(s)
- Mirjana Novkovic
- Center for Genome Sequencing and Bioinformatics, Institute of Molecular Genetics and Genetic Engineering, University of Belgrade, Belgrade, Serbia
| | - Bojana Banovic Djeri
- Center for Genome Sequencing and Bioinformatics, Institute of Molecular Genetics and Genetic Engineering, University of Belgrade, Belgrade, Serbia
| | - Bojan Ristivojevic
- Center for Genome Sequencing and Bioinformatics, Institute of Molecular Genetics and Genetic Engineering, University of Belgrade, Belgrade, Serbia
| | - Aleksandra Knezevic
- Institute of Microbiology and Immunology, Department of Virology, Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | - Marko Jankovic
- Institute of Microbiology and Immunology, Department of Virology, Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | - Vanja Tanasic
- Center for Forensic and Applied Molecular Genetics, Faculty of Biology, University of Belgrade, Belgrade, Serbia
| | - Verica Radojicic
- Center for Forensic and Applied Molecular Genetics, Faculty of Biology, University of Belgrade, Belgrade, Serbia
| | - Dusan Keckarevic
- Center for Forensic and Applied Molecular Genetics, Faculty of Biology, University of Belgrade, Belgrade, Serbia
| | - Dejan Vidanovic
- Veterinary Specialized Institute “Kraljevo”, Kraljevo, Serbia
| | - Bojana Tesovic
- Veterinary Specialized Institute “Kraljevo”, Kraljevo, Serbia
| | - Anita Skakic
- Center for Genome Sequencing and Bioinformatics, Institute of Molecular Genetics and Genetic Engineering, University of Belgrade, Belgrade, Serbia
| | - Maja Tolinacki
- Center for Genome Sequencing and Bioinformatics, Institute of Molecular Genetics and Genetic Engineering, University of Belgrade, Belgrade, Serbia
| | - Ivana Moric
- Center for Genome Sequencing and Bioinformatics, Institute of Molecular Genetics and Genetic Engineering, University of Belgrade, Belgrade, Serbia
| | - Valentina Djordjevic
- Center for Genome Sequencing and Bioinformatics, Institute of Molecular Genetics and Genetic Engineering, University of Belgrade, Belgrade, Serbia
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Reis-Claro I, Silva MI, Moutinho A, Garcia BC, Pereira-Castro I, Moreira A. Application of the iPLUS non-coding sequence in improving biopharmaceuticals production. Front Bioeng Biotechnol 2024; 12:1355957. [PMID: 38380261 PMCID: PMC10876878 DOI: 10.3389/fbioe.2024.1355957] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Accepted: 01/25/2024] [Indexed: 02/22/2024] Open
Abstract
The biotechnological landscape has witnessed significant growth in biological therapeutics particularly in the field of recombinant protein production. Here we investigate the function of 3'UTR cis-regulatory elements in increasing mRNA and protein levels in different biological therapeutics and model systems, spanning from monoclonal antibodies to mRNA vaccines. We explore the regulatory function of iPLUS - a universal sequence capable of consistently augmenting recombinant protein levels. By incorporating iPLUS in a vector to express a monoclonal antibody used in immunotherapy, in a mammalian cell line used by the industry (ExpiCHO), trastuzumab production increases by 2-fold. As yeast Pichia pastoris is widely used in the manufacture of industrial enzymes and pharmaceuticals, we then used iPLUS in tandem (3x) and iPLUSv2 (a variant of iPLUS) to provide proof-of-concept data that it increases the production of a reporter protein more than 100-fold. As iPLUS functions by also increasing mRNA levels, we hypothesize that these sequences could be used as an asset in the mRNA vaccine industry. In fact, by including iPLUSv2 downstream of Spike we were able to double its production. Moreover, the same effect was observed when we introduced iPLUSv2 downstream of MAGEC2, a tumor-specific antigen tested for cancer mRNA vaccines. Taken together, our study provides data (TLR4) showing that iPLUS may be used as a valuable asset in a variety of systems used by the biotech and biopharmaceutical industry. Our results underscore the critical role of non-coding sequences in controlling gene expression, offering a promising avenue to accelerate, enhance, and cost-effectively optimize biopharmaceutical production processes.
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Affiliation(s)
- Inês Reis-Claro
- Gene Regulation, i3S—Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal
| | - Maria Inês Silva
- Gene Regulation, i3S—Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal
| | - Ana Moutinho
- Gene Regulation, i3S—Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal
| | - Beatriz C. Garcia
- Gene Regulation, i3S—Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal
| | - Isabel Pereira-Castro
- Gene Regulation, i3S—Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal
- IBMC—Instituto de Biologia Molecular e Celular, Universidade do Porto, Porto, Portugal
| | - Alexandra Moreira
- Gene Regulation, i3S—Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal
- IBMC—Instituto de Biologia Molecular e Celular, Universidade do Porto, Porto, Portugal
- ICBAS—Instituto de Ciências Biomédicas Abel Salazar, Universidade do Porto, Porto, Portugal
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Liu W, Huang Z, Xiao J, Wu Y, Xia N, Yuan Q. Evolution of the SARS-CoV-2 Omicron Variants: Genetic Impact on Viral Fitness. Viruses 2024; 16:184. [PMID: 38399960 PMCID: PMC10893260 DOI: 10.3390/v16020184] [Citation(s) in RCA: 20] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2023] [Revised: 01/19/2024] [Accepted: 01/22/2024] [Indexed: 02/25/2024] Open
Abstract
Over the last three years, the pandemic of COVID-19 has had a significant impact on people's lives and the global economy. The incessant emergence of variant strains has compounded the challenges associated with the management of COVID-19. As the predominant variant from late 2021 to the present, Omicron and its sublineages, through continuous evolution, have demonstrated iterative viral fitness. The comprehensive elucidation of the biological implications that catalyzed this evolution remains incomplete. In accordance with extant research evidence, we provide a comprehensive review of subvariants of Omicron, delineating alterations in immune evasion, cellular infectivity, and the cross-species transmission potential. This review seeks to clarify the underpinnings of biology within the evolution of SARS-CoV-2, thereby providing a foundation for strategic considerations in the post-pandemic era of COVID-19.
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Affiliation(s)
- Wenhao Liu
- State Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, School of Public Health, Xiamen University, Xiamen 361000, China; (W.L.); (N.X.)
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, Xiamen University, Xiamen 361102, China
| | - Zehong Huang
- State Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, School of Public Health, Xiamen University, Xiamen 361000, China; (W.L.); (N.X.)
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, Xiamen University, Xiamen 361102, China
| | - Jin Xiao
- State Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, School of Public Health, Xiamen University, Xiamen 361000, China; (W.L.); (N.X.)
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, Xiamen University, Xiamen 361102, China
| | - Yangtao Wu
- State Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, School of Public Health, Xiamen University, Xiamen 361000, China; (W.L.); (N.X.)
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, Xiamen University, Xiamen 361102, China
| | - Ningshao Xia
- State Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, School of Public Health, Xiamen University, Xiamen 361000, China; (W.L.); (N.X.)
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, Xiamen University, Xiamen 361102, China
| | - Quan Yuan
- State Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, School of Public Health, Xiamen University, Xiamen 361000, China; (W.L.); (N.X.)
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, Xiamen University, Xiamen 361102, China
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Dong Y, Yuan X, Zhuang K, Li Y, Luo X. Simultaneous and sensitive detection of SARS-CoV-2 proteins spike and nucleocapsid based on long-range SERS biosensor. Anal Chim Acta 2024; 1287:342070. [PMID: 38182376 DOI: 10.1016/j.aca.2023.342070] [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: 09/22/2023] [Revised: 11/23/2023] [Accepted: 11/25/2023] [Indexed: 01/07/2024]
Abstract
BACKGROUND Early diagnosis of SARS-CoV-2 infection is still critical to control COVID-19 outbreak. Traditional polymerase chain reaction, enzyme-linked immunosorbent assay or lateral flow immunoassay performed poorly on detection times, sample preparation process and accuracy. Surface-enhanced Raman scattering (SERS)-based detection has emerged as a powerful analytical technique, which overcomes the above limitations. However, due to the near-field effect of traditional substrate, it is difficult to monitor the binding event of aptamers with proteins. It is obvious that a novel SERS substrate thatsupportedextended and stronger electromagnetic fields was required to hold long-range effects and allow for binding event testing. RESULTS Driven by this challenge, we reported a long-range SERS-active substrate, which was built by inserting bowtie nanoaperture arrays in a refractive-index-symmetric environment and Au mirror surfaces, for SARS-CoV-2 protein binding event detection. Then, a double-π structure aptasensor was simply designed through the hybridization of spike (S) and nucleocapsid (N) proteins aptamers, and a corresponding complementary strand. This kind of double-π structure would dissociate when targets proteins S and N existed and led to the SERS responses decreased, which established the detection basis of our system. What's more, due to two Raman labels were involved, both proteins S and N can be sensed simultaneously. Our proposed method showed improved sensitivity with a low limit of detection for multiplex detection (1.6 × 10-16 g/mL for protein S and 1.0 × 10-16 g/mL for protein N) over a wide concentration range. SIGNIFICANCE This represents the first long-range SERS apatasensor platform for detection of S and N proteins simultaneously. Our method showed high sensitivity, selectivity, reproducibility, stability and remarkable recoveries in human in saliva and serum samples, which is particularly important for the early diagnostics of COVID as well as for future unknown coronavirus.
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Affiliation(s)
- Ying Dong
- School of Science, Xihua University, Chengdu, 610039, PR China
| | - Xue Yuan
- School of Science, Xihua University, Chengdu, 610039, PR China
| | - Kaiyi Zhuang
- School of Science, Xihua University, Chengdu, 610039, PR China
| | - Yuanyuan Li
- Shanghai Anti-Doping Laboratory, Shanghai University of Sport, Shanghai, 200438, PR China.
| | - Xiaojun Luo
- School of Science, Xihua University, Chengdu, 610039, PR China; Asymmetric Synthesis and Chiral Technology Key Laboratory of Sichuan Province, Chengdu, 610039, PR China.
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Li K, Verma A, Li P, Ortiz ME, Hawkins GM, Schnicker NJ, Szachowicz PJ, Pezzulo AA, Wohlford-Lenane CL, Kicmal T, Meyerholz DK, Gallagher T, Perlman S, McCray PB. Adaptation of SARS-CoV-2 to ACE2 H353K mice reveals new spike residues that drive mouse infection. J Virol 2024; 98:e0151023. [PMID: 38168680 PMCID: PMC10804960 DOI: 10.1128/jvi.01510-23] [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: 09/27/2023] [Accepted: 11/28/2023] [Indexed: 01/05/2024] Open
Abstract
The Coronavirus Disease 2019 (COVID-19) pandemic continues to cause extraordinary loss of life and economic damage. Animal models of severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) infection are needed to better understand disease pathogenesis and evaluate preventive measures and therapies. While mice are widely used to model human disease, mouse angiotensin converting enzyme 2 (ACE2) does not bind the ancestral SARS-CoV-2 spike protein to mediate viral entry. To overcome this limitation, we "humanized" mouse Ace2 using CRISPR gene editing to introduce a single amino acid substitution, H353K, predicted to facilitate S protein binding. While H353K knockin Ace2 (mACE2H353K) mice supported SARS-CoV-2 infection and replication, they exhibited minimal disease manifestations. Following 30 serial passages of ancestral SARS-CoV-2 in mACE2H353K mice, we generated and cloned a more virulent virus. A single isolate (SARS2MA-H353K) was prepared for detailed studies. In 7-11-month-old mACE2H353K mice, a 104 PFU inocula resulted in diffuse alveolar disease manifested as edema, hyaline membrane formation, and interstitial cellular infiltration/thickening. Unexpectedly, the mouse-adapted virus also infected standard BALB/c and C57BL/6 mice and caused severe disease. The mouse-adapted virus acquired five new missense mutations including two in spike (K417E, Q493K), one each in nsp4, nsp9, and M and a single nucleotide change in the 5' untranslated region. The Q493K spike mutation arose early in serial passage and is predicted to provide affinity-enhancing molecular interactions with mACE2 and further increase the stability and affinity to the receptor. This new model and mouse-adapted virus will be useful to evaluate COVID-19 disease and prophylactic and therapeutic interventions.IMPORTANCEWe developed a new mouse model with a humanized angiotensin converting enzyme 2 (ACE2) locus that preserves native regulatory elements. A single point mutation in mouse ACE2 (H353K) was sufficient to confer in vivo infection with ancestral severe acute respiratory syndrome-coronavirus-2 virus. Through in vivo serial passage, a virulent mouse-adapted strain was obtained. In aged mACE2H353K mice, the mouse-adapted strain caused diffuse alveolar disease. The mouse-adapted virus also infected standard BALB/c and C57BL/6 mice, causing severe disease. The mouse-adapted virus acquired five new missense mutations including two in spike (K417E, Q493K), one each in nsp4, nsp9, and M and a single nucleotide change in the 5' untranslated region. The Q493K spike mutation arose early in serial passage and is predicted to provide affinity-enhancing molecular interactions with mACE2 and further increase the stability and affinity to the receptor. This new model and mouse-adapted virus will be useful to evaluate COVID-19 disease and prophylactic and therapeutic interventions.
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Affiliation(s)
- Kun Li
- Department of Pediatrics, The University of Iowa, Iowa City, Iowa, USA
| | - Abhishek Verma
- Department of Microbiology and Immunology, The University of Iowa, Iowa City, Iowa, USA
| | - Pengfei Li
- Department of Microbiology and Immunology, The University of Iowa, Iowa City, Iowa, USA
| | - Miguel E. Ortiz
- Department of Pediatrics, The University of Iowa, Iowa City, Iowa, USA
| | - Grant M. Hawkins
- Department of Microbiology and Immunology, Loyola University Chicago, Maywood, Illinois, USA
| | | | - Peter J. Szachowicz
- Department of Internal Medicine, The University of Iowa, Iowa City, Iowa, USA
| | | | | | - Tom Kicmal
- Department of Microbiology and Immunology, Loyola University Chicago, Maywood, Illinois, USA
| | | | - Tom Gallagher
- Department of Microbiology and Immunology, Loyola University Chicago, Maywood, Illinois, USA
| | - Stanley Perlman
- Department of Pediatrics, The University of Iowa, Iowa City, Iowa, USA
- Department of Microbiology and Immunology, The University of Iowa, Iowa City, Iowa, USA
| | - Paul B. McCray
- Department of Pediatrics, The University of Iowa, Iowa City, Iowa, USA
- Department of Microbiology and Immunology, The University of Iowa, Iowa City, Iowa, USA
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Lebatteux D, Soudeyns H, Boucoiran I, Gantt S, Diallo AB. Machine learning-based approach KEVOLVE efficiently identifies SARS-CoV-2 variant-specific genomic signatures. PLoS One 2024; 19:e0296627. [PMID: 38241279 PMCID: PMC10798494 DOI: 10.1371/journal.pone.0296627] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Accepted: 12/07/2023] [Indexed: 01/21/2024] Open
Abstract
Machine learning was shown to be effective at identifying distinctive genomic signatures among viral sequences. These signatures are defined as pervasive motifs in the viral genome that allow discrimination between species or variants. In the context of SARS-CoV-2, the identification of these signatures can assist in taxonomic and phylogenetic studies, improve in the recognition and definition of emerging variants, and aid in the characterization of functional properties of polymorphic gene products. In this paper, we assess KEVOLVE, an approach based on a genetic algorithm with a machine-learning kernel, to identify multiple genomic signatures based on minimal sets of k-mers. In a comparative study, in which we analyzed large SARS-CoV-2 genome dataset, KEVOLVE was more effective at identifying variant-discriminative signatures than several gold-standard statistical tools. Subsequently, these signatures were characterized using a new extension of KEVOLVE (KANALYZER) to highlight variations of the discriminative signatures among different classes of variants, their genomic location, and the mutations involved. The majority of identified signatures were associated with known mutations among the different variants, in terms of functional and pathological impact based on available literature. Here we showed that KEVOLVE is a robust machine learning approach to identify discriminative signatures among SARS-CoV-2 variants, which are frequently also biologically relevant, while bypassing multiple sequence alignments. The source code of the method and additional resources are available at: https://github.com/bioinfoUQAM/KEVOLVE.
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Affiliation(s)
- Dylan Lebatteux
- Department of Computer Science, Université du Québec à Montréal, Montréal, Québec, Canada
| | - Hugo Soudeyns
- CHU Sainte-Justine Research Centre, Montréal, Québec, Canada
- Department of Microbiology, Infectious Diseases and Immunology, Faculty of Medicine, Université de Montréal, Montréal, Québec, Canada
- Department of Pediatrics, Faculty of Medicine, Université du Québec à Montréal, Montréal, Québec, Canada
| | - Isabelle Boucoiran
- Department of Obstetrics and Gynecology, Faculty of Medicine, Université de Montréal, Montreal, Quebec, Canada
| | - Soren Gantt
- CHU Sainte-Justine Research Centre, Montréal, Québec, Canada
- Department of Microbiology, Infectious Diseases and Immunology, Faculty of Medicine, Université de Montréal, Montréal, Québec, Canada
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Asarnow D, Becker VA, Bobe D, Dubbledam C, Johnston JD, Kopylov M, Lavoie NR, Li Q, Mattingly JM, Mendez JH, Paraan M, Turner J, Upadhye V, Walsh RM, Gupta M, Eng ET. Recent advances in infectious disease research using cryo-electron tomography. Front Mol Biosci 2024; 10:1296941. [PMID: 38288336 PMCID: PMC10822977 DOI: 10.3389/fmolb.2023.1296941] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Accepted: 12/07/2023] [Indexed: 01/31/2024] Open
Abstract
With the increasing spread of infectious diseases worldwide, there is an urgent need for novel strategies to combat them. Cryogenic sample electron microscopy (cryo-EM) techniques, particularly electron tomography (cryo-ET), have revolutionized the field of infectious disease research by enabling multiscale observation of biological structures in a near-native state. This review highlights the recent advances in infectious disease research using cryo-ET and discusses the potential of this structural biology technique to help discover mechanisms of infection in native environments and guiding in the right direction for future drug discovery.
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Affiliation(s)
- Daniel Asarnow
- Department of Biochemistry, University of Washington, Seattle, WA, United States
| | - Vada A. Becker
- Department of Medicinal Chemistry, University of Washington, Seattle, WA, United States
| | - Daija Bobe
- Simons Electron Microscopy Center, New York Structural Biology Center, New York, NY, United States
| | - Charlie Dubbledam
- Simons Electron Microscopy Center, New York Structural Biology Center, New York, NY, United States
| | - Jake D. Johnston
- Simons Electron Microscopy Center, New York Structural Biology Center, New York, NY, United States
- Department of Physiology and Cellular Biophysics, Columbia University, New York, NY, United States
| | - Mykhailo Kopylov
- Simons Electron Microscopy Center, New York Structural Biology Center, New York, NY, United States
| | - Nathalie R. Lavoie
- Department of Molecular Biology and Microbiology, School of Medicine, Tufts University, Boston, MA, United States
| | - Qiuye Li
- Department of Physiology and Biophysics, School of Medicine, Case Western Reserve University, Cleveland, OH, United States
| | - Jacob M. Mattingly
- Department of Chemistry, College of Arts and Sciences, Emory University, Atlanta, GA, United States
| | - Joshua H. Mendez
- Simons Electron Microscopy Center, New York Structural Biology Center, New York, NY, United States
| | - Mohammadreza Paraan
- Simons Electron Microscopy Center, New York Structural Biology Center, New York, NY, United States
| | - Jack Turner
- European Bioinformatics Institute (EMBL-EBI), Cambridge, United Kingdom
| | - Viraj Upadhye
- Department of Microbiology and Immunology, College of Veterinary Medicine, Cornell University, Ithaca, NY, United States
| | - Richard M. Walsh
- Harvard Cryo-Electron Microscopy Center for Structural Biology and Harvard Medical School, Boston, MA, United States
| | - Meghna Gupta
- Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA, United States
| | - Edward T. Eng
- Simons Electron Microscopy Center, New York Structural Biology Center, New York, NY, United States
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Zaidi AK, Singh RB. SARS-CoV-2 variant biology and immune evasion. PROGRESS IN MOLECULAR BIOLOGY AND TRANSLATIONAL SCIENCE 2024; 202:45-66. [PMID: 38237990 DOI: 10.1016/bs.pmbts.2023.11.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/23/2024]
Abstract
This chapter discusses the SARS-CoV-2 variants and their immune evasion strategies, shedding light on the dynamic nature of the COVID-19 pandemic. The ecological dynamics and viral evolution of SARS-CoV-2 are explored, considering carriers of infection, individual immunity profiles, and human movement as key factors in the emergence and dissemination of variants. The chapter discusses SARS-CoV-2 mutation, including mutation rate, substitution rate, and recombination, influencing genetic diversity and evolution. Transmission bottlenecks are highlighted as determinants of dominant variants during viral spread. The evolution phases of the pandemic are outlined, from limited early evolution to the emergence of notable changes like the D614G substitution and variants with heavy mutations. Variants of Concern (VOCs), including Alpha, Beta, Gamma, and the recent Omicron variant, are examined, with insights into inter-lineage and intra-lineage dynamics. The origin of VOCs and the Omicron variant is explored, alongside the role of the furin cleavage site (FCS) in variant emergence. The impact of structural and non-structural proteins on viral infectivity is assessed, as well as innate immunity evasion strategies employed by SARS-CoV-2 variants. The chapter concludes by considering future possibilities, including ongoing virus evolution, the need for surveillance, vaccine development, and public health measures.
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Affiliation(s)
| | - Rohan Bir Singh
- Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, United States; Department of Population, Policy and Practice, Greater Ormond Street Institute of Child Health, University College London, United Kingdom; Discipline of Ophthalmology and Visual Sciences, Adelaide Medical School, University of Adelaide, Australia.
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Chatterjee S, Zaia J. Proteomics-based mass spectrometry profiling of SARS-CoV-2 infection from human nasopharyngeal samples. MASS SPECTROMETRY REVIEWS 2024; 43:193-229. [PMID: 36177493 PMCID: PMC9538640 DOI: 10.1002/mas.21813] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Revised: 09/07/2022] [Accepted: 09/09/2022] [Indexed: 05/12/2023]
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the cause of the on-going global pandemic of coronavirus disease 2019 (COVID-19) that continues to pose a significant threat to public health worldwide. SARS-CoV-2 encodes four structural proteins namely membrane, nucleocapsid, spike, and envelope proteins that play essential roles in viral entry, fusion, and attachment to the host cell. Extensively glycosylated spike protein efficiently binds to the host angiotensin-converting enzyme 2 initiating viral entry and pathogenesis. Reverse transcriptase polymerase chain reaction on nasopharyngeal swab is the preferred method of sample collection and viral detection because it is a rapid, specific, and high-throughput technique. Alternate strategies such as proteomics and glycoproteomics-based mass spectrometry enable a more detailed and holistic view of the viral proteins and host-pathogen interactions and help in detection of potential disease markers. In this review, we highlight the use of mass spectrometry methods to profile the SARS-CoV-2 proteome from clinical nasopharyngeal swab samples. We also highlight the necessity for a comprehensive glycoproteomics mapping of SARS-CoV-2 from biological complex matrices to identify potential COVID-19 markers.
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Affiliation(s)
- Sayantani Chatterjee
- Department of Biochemistry, Center for Biomedical Mass SpectrometryBoston University School of MedicineBostonMassachusettsUSA
| | - Joseph Zaia
- Department of Biochemistry, Center for Biomedical Mass SpectrometryBoston University School of MedicineBostonMassachusettsUSA
- Bioinformatics ProgramBoston University School of MedicineBostonMassachusettsUSA
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Gashti AB, Agbayani G, Hrapovic S, Nassoury N, Coulombe N, Dudani R, Harrison BA, Akache B, Gilbert R, Chahal PS. Production, purification and immunogenicity of Gag virus-like particles carrying SARS-CoV-2 components. Vaccine 2024; 42:40-52. [PMID: 38042697 DOI: 10.1016/j.vaccine.2023.11.048] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Revised: 10/28/2023] [Accepted: 11/23/2023] [Indexed: 12/04/2023]
Abstract
The virus-like particle (VLP) platform is a robust inducer of humoral and cellular immune responses; hence, it has been used in vaccine development for several infectious diseases. In the current work, VLPs carrying SARS-CoV-2 Spike (S) protein (Wuhan strain) with an HIV-1 Gag core were produced using suspension HEK 293SF-3F6 cells by transient transfection. The Gag was fused with green fluorescent protein (GFP) for rapid quantification of the VLPs. Five different versions of Gag-Spike VLPs (Gag-S-VLPs) consisting of Gag-S alone or combined with other SARS-CoV-2 components, namely Gag-S-Nucleocapsid (N), Gag-S-Matrix (M), Gag-S-Envelope (E), Gag-S-MEN, along with Gag alone were produced and processed by clarification, nuclease treatment, concentration by tangential flow filtration (TFF) and diafiltration. A pilot mouse study was performed to evaluate the immunogenicity of the Gag-S-VLPs through the measurement of the humoral and/or cellular responses against all the mentioned SARS-CoV-2 components. Antibody response to Spike was observed in all variants. The highest number of Spike-specific IFN-γ + T cells was detected with Gag-S-VLPs. No induction of antigen-specific cellular responses to M, N or E proteins were detected with any of the Gag-S, M, E/or N VLPs tested. Therefore, the Gag-S-VLP, by reason of consistently eliciting strong antigen-specific cellular and antibody responses, was selected for further evaluation. The purification process was improved by replacing the conventional centrifugation by serial microfiltration in the clarification step, followed by Spike-affinity chromatography to get concentrated VLPs with higher purity. Three different doses of Gag-S-VLP in conjunction with two adjuvants (Quil-A or AddaVax) were used to assess the dose-dependent antigen-specific cellular and antibody responses in mice. The Gag-S-VLP adjuvanted with Quil-A resulted in a stronger Spike-specific cellular response compared to that adjuvanted with AddaVax. A strong spike neutralisation activity was observed for all doses, independent of the adjuvant combination.
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Affiliation(s)
| | - Gerard Agbayani
- Human Health Therapeutics, National Research Council Canada Ottawa, ON, Canada
| | - Sabahudin Hrapovic
- Aquatic and Crop Resource Development Research Centre, National Research Council Canada, Montréal, Canada
| | - Nasha Nassoury
- Human Health Therapeutics, National Research Council Canada, Montreal, QC, Canada
| | - Nathalie Coulombe
- Human Health Therapeutics, National Research Council Canada, Montreal, QC, Canada
| | - Renu Dudani
- Human Health Therapeutics, National Research Council Canada Ottawa, ON, Canada
| | - Blair A Harrison
- Human Health Therapeutics, National Research Council Canada Ottawa, ON, Canada
| | - Bassel Akache
- Human Health Therapeutics, National Research Council Canada Ottawa, ON, Canada
| | - Rénald Gilbert
- Human Health Therapeutics, National Research Council Canada, Montreal, QC, Canada; Department of Bioengineering, McGill University, Montreal, QC, Canada.
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Levi R, Zerhouni EG, Altuvia S. Predicting the spread of SARS-CoV-2 variants: An artificial intelligence enabled early detection. PNAS NEXUS 2024; 3:pgad424. [PMID: 38170049 PMCID: PMC10759796 DOI: 10.1093/pnasnexus/pgad424] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 11/27/2023] [Indexed: 01/05/2024]
Abstract
During more than 3 years since its emergence, SARS-CoV-2 has shown great ability to mutate rapidly into diverse variants, some of which turned out to be very infectious and have spread throughout the world causing waves of infections. At this point, many countries have already experienced up to six waves of infections. Extensive academic work has focused on the development of models to predict the pandemic trajectory based on epidemiological data, but none has focused on predicting variant-specific spread. Moreover, important scientific literature analyzes the genetic evolution of SARS-CoV-2 variants and how it might functionally affect their infectivity. However, genetic attributes have not yet been incorporated into existing epidemiological modeling that aims to capture infection trajectory. Thus, this study leverages variant-specific genetic characteristics together with epidemiological information to systematically predict the future spread trajectory of newly detected variants. The study describes the analysis of 9.0 million SARS-CoV-2 genetic sequences in 30 countries and identifies temporal characteristic patterns of SARS-CoV-2 variants that caused significant infection waves. Using this descriptive analysis, a machine-learning-enabled risk assessment model has been developed to predict, as early as 1 week after their first detection, which variants are likely to constitute the new wave of infections in the following 3 months. The model's out-of-sample area under the curve (AUC) is 86.3% for predictions after 1 week and 90.8% for predictions after 2 weeks. The methodology described in this paper could contribute more broadly to the development of improved predictive models for variants of other infectious viruses.
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Affiliation(s)
- Retsef Levi
- Sloan School of Management, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - El Ghali Zerhouni
- Operations Research Center, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Shoshy Altuvia
- Department of Microbiology and Molecular Genetics, The Hebrew University-Hadassah Medical School, Jerusalem, 9112102, Israel
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71
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Bains A, Fischer K, Guan W, LiWang PJ. The Antiviral Activity of the Lectin Griffithsin against SARS-CoV-2 Is Enhanced by the Presence of Structural Proteins. Viruses 2023; 15:2452. [PMID: 38140693 PMCID: PMC10747160 DOI: 10.3390/v15122452] [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: 10/14/2023] [Revised: 12/07/2023] [Accepted: 12/14/2023] [Indexed: 12/24/2023] Open
Abstract
Although COVID-19 transmission has been reduced by the advent of vaccinations and a variety of rapid monitoring techniques, the SARS-CoV-2 virus itself has shown a remarkable ability to mutate and persist. With this long track record of immune escape, researchers are still exploring prophylactic treatments to curtail future SARS-CoV-2 variants. Specifically, much focus has been placed on the antiviral lectin Griffithsin in preventing spike protein-mediated infection via the hACE2 receptor (direct infection). However, an oft-overlooked aspect of SARS-CoV-2 infection is viral capture by attachment receptors such as DC-SIGN, which is thought to facilitate the initial stages of COVID-19 infection in the lung tissue (called trans-infection). In addition, while immune escape is dictated by mutations in the spike protein, coronaviral virions also incorporate M, N, and E structural proteins within the particle. In this paper, we explored how several structural facets of both the SARS-CoV-2 virion and the antiviral lectin Griffithsin can affect and attenuate the infectivity of SARS-CoV-2 pseudovirus. We found that Griffithsin was a better inhibitor of hACE2-mediated direct infection when the coronaviral M protein is present compared to when it is absent (possibly providing an explanation regarding why Griffithsin shows better inhibition against authentic SARS-CoV-2 as opposed to pseudotyped viruses, which generally do not contain M) and that Griffithsin was not an effective inhibitor of DC-SIGN-mediated trans-infection. Furthermore, we found that DC-SIGN appeared to mediate trans-infection exclusively via binding to the SARS-CoV-2 spike protein, with no significant effect observed when other viral proteins (M, N, and/or E) were present. These results provide etiological data that may help to direct the development of novel antiviral treatments, either by leveraging Griffithsin binding to the M protein as a novel strategy to prevent SARS-CoV-2 infection or by narrowing efforts to inhibit trans-infection to focus on DC-SIGN binding to SARS-CoV-2 spike protein.
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Affiliation(s)
- Arjan Bains
- Chemistry and Biochemistry, University of California Merced, 5200 North Lake Rd., Merced, CA 95343, USA;
| | - Kathryn Fischer
- Quantitative and Systems Biology, University of California Merced, 5200 North Lake Rd., Merced, CA 95343, USA;
| | - Wenyan Guan
- Materials and Biomaterials Science and Engineering, University of California Merced, 5200 North Lake Rd., Merced, CA 95343, USA;
| | - Patricia J. LiWang
- Molecular Cell Biology, Health Sciences Research Institute, University of California Merced, 5200 North Lake Rd., Merced, CA 95343, USA
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72
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Chang J, Wang J, Luo B, Li W, Xiong Z, Du C, Wang X, Wang Y, Tian J, Li S, Fang Y, Li L, Dong J, Tan K, Fan Y, Cao P. Vitamin E stabilizes iron and mitochondrial metabolism in pulmonary fibrosis. Front Pharmacol 2023; 14:1240829. [PMID: 38125893 PMCID: PMC10731373 DOI: 10.3389/fphar.2023.1240829] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Accepted: 11/24/2023] [Indexed: 12/23/2023] Open
Abstract
Introduction: Pulmonary fibrosis (PF) is a fatal chronic lung disease that causes structural damage and decreased lung function and has a poor prognosis. Currently, there is no medicine that can truly cure PF. Vitamin E (VE) is a group of natural antioxidants with anticancer and antimutagenic properties. There have been a few reports about the attenuation of PF by VE in experimental animals, but the molecular mechanisms are not fully understood. Methods: Bleomycin-induced PF (BLM-PF) mouse model, and cultured mouse primary lung fibroblasts and MLE 12 cells were utilized. Pathological examination of lung sections, immunoblotting, immunofluorescent staining, and real-time PCR were conducted in this study. Results: We confirmed that VE significantly delayed the progression of BLM-PF and increased the survival rates of experimental mice with PF. VE suppressed the pathological activation and fibrotic differentiation of lung fibroblasts and epithelial-mesenchymal transition and alleviated the inflammatory response in BLM-induced fibrotic lungs and pulmonary epithelial cells in vitro. Importantly, VE reduced BLM-induced ferritin expression in fibrotic lungs, whereas VE did not exhibit iron chelation properties in fibroblasts or epithelial cells in vitro. Furthermore, VE protected against mitochondrial dysmorphology and normalized mitochondrial protein expression in BLM-PF lungs. Consistently, VE suppressed apoptosis in BLM-PF lungs and pulmonary epithelial cells in vitro. Discussion: Collectively, VE markedly inhibited BLM-induced PF through a complex mechanism, including improving iron metabolism and mitochondrial structure and function, mitigating inflammation, and decreasing the fibrotic functions of fibroblasts and epithelial cells. Therefore, VE presents a highly potential therapeutic against PF due to its multiple protective effects with few side effects.
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Affiliation(s)
- Jing Chang
- Ministry of Education Key Laboratory of Molecular and Cellular Biology, Hebei Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology, Hebei Research Center of the Basic Discipline of Cell Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, Hebei, China
| | - Jiahui Wang
- Ministry of Education Key Laboratory of Molecular and Cellular Biology, Hebei Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology, Hebei Research Center of the Basic Discipline of Cell Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, Hebei, China
| | - Beibei Luo
- Ministry of Education Key Laboratory of Molecular and Cellular Biology, Hebei Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology, Hebei Research Center of the Basic Discipline of Cell Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, Hebei, China
| | - Weihao Li
- Special Clinical Laboratory, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Ziyue Xiong
- Ministry of Education Key Laboratory of Molecular and Cellular Biology, Hebei Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology, Hebei Research Center of the Basic Discipline of Cell Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, Hebei, China
| | - Chaoqi Du
- Ministry of Education Key Laboratory of Molecular and Cellular Biology, Hebei Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology, Hebei Research Center of the Basic Discipline of Cell Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, Hebei, China
| | - Xue Wang
- Ministry of Education Key Laboratory of Molecular and Cellular Biology, Hebei Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology, Hebei Research Center of the Basic Discipline of Cell Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, Hebei, China
| | - Yuejiao Wang
- Ministry of Education Key Laboratory of Molecular and Cellular Biology, Hebei Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology, Hebei Research Center of the Basic Discipline of Cell Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, Hebei, China
| | - Jingya Tian
- Ministry of Education Key Laboratory of Molecular and Cellular Biology, Hebei Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology, Hebei Research Center of the Basic Discipline of Cell Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, Hebei, China
| | - Shuxin Li
- Ministry of Education Key Laboratory of Molecular and Cellular Biology, Hebei Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology, Hebei Research Center of the Basic Discipline of Cell Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, Hebei, China
| | - Yue Fang
- Ministry of Education Key Laboratory of Molecular and Cellular Biology, Hebei Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology, Hebei Research Center of the Basic Discipline of Cell Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, Hebei, China
| | - Longjie Li
- Ministry of Education Key Laboratory of Molecular and Cellular Biology, Hebei Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology, Hebei Research Center of the Basic Discipline of Cell Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, Hebei, China
| | - Jing Dong
- Ministry of Education Key Laboratory of Molecular and Cellular Biology, Hebei Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology, Hebei Research Center of the Basic Discipline of Cell Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, Hebei, China
| | - Ke Tan
- Ministry of Education Key Laboratory of Molecular and Cellular Biology, Hebei Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology, Hebei Research Center of the Basic Discipline of Cell Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, Hebei, China
| | - Yumei Fan
- Ministry of Education Key Laboratory of Molecular and Cellular Biology, Hebei Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology, Hebei Research Center of the Basic Discipline of Cell Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, Hebei, China
| | - Pengxiu Cao
- Ministry of Education Key Laboratory of Molecular and Cellular Biology, Hebei Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology, Hebei Research Center of the Basic Discipline of Cell Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, Hebei, China
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73
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Tang CY, Li T, Haynes TA, McElroy JA, Ritter D, Hammer RD, Sampson C, Webby R, Hang J, Wan XF. Rural populations facilitated early SARS-CoV-2 evolution and transmission in Missouri, USA. NPJ VIRUSES 2023; 1:7. [PMID: 38186942 PMCID: PMC10769004 DOI: 10.1038/s44298-023-00005-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Accepted: 10/20/2023] [Indexed: 01/09/2024]
Abstract
In the United States, rural populations comprise 60 million individuals and suffered from high COVID-19 disease burdens. Despite this, surveillance efforts are biased toward urban centers. Consequently, how rurally circulating SARS-CoV-2 viruses contribute toward emerging variants remains poorly understood. In this study, we aim to investigate the role of rural communities in the evolution and transmission of SARS-CoV-2 during the early pandemic. We collected 544 urban and 435 rural COVID-19-positive respiratory specimens from an overall vaccine-naïve population in Southwest Missouri between July and December 2020. Genomic analyses revealed 53 SARS-CoV-2 Pango lineages in our study samples, with 14 of these lineages identified only in rural samples. Phylodynamic analyses showed that frequent bi-directional diffusions occurred between rural and urban communities in Southwest Missouri, and that four out of seven Missouri rural-origin lineages spread globally. Further analyses revealed that the nucleocapsid protein (N):R203K/G204R paired substitutions, which were detected disproportionately across multiple Pango lineages, were more associated with urban than rural sequences. Positive selection was detected at N:204 among rural samples but was not evident in urban samples, suggesting that viruses may encounter distinct selection pressures in rural versus urban communities. This study demonstrates that rural communities may be a crucial source of SARS-CoV-2 evolution and transmission, highlighting the need to expand surveillance and resources to rural populations for COVID-19 mitigation.
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Affiliation(s)
- Cynthia Y. Tang
- Center for Influenza and Emerging Infectious Diseases, University of Missouri, Columbia, MO, USA
- Molecular Microbiology and Immunology, School of Medicine, University of Missouri, Columbia, MO, USA
- Bond Life Sciences Center, University of Missouri, Columbia, MO, USA
- Institute for Data Science and Informatics, University of Missouri, Columbia, MO, USA
- These authors contributed equally: Cynthia Y. Tang, Tao Li
| | - Tao Li
- Viral Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, MD, USA
- These authors contributed equally: Cynthia Y. Tang, Tao Li
| | - Tricia A. Haynes
- Center for Influenza and Emerging Infectious Diseases, University of Missouri, Columbia, MO, USA
- Molecular Microbiology and Immunology, School of Medicine, University of Missouri, Columbia, MO, USA
- Bond Life Sciences Center, University of Missouri, Columbia, MO, USA
| | - Jane A. McElroy
- Family and Community Medicine, University of Missouriś, Columbia, MO, USA
| | - Detlef Ritter
- Anatomic Pathology & Clinical Pathology, University of Missouri, Columbia, MO, USA
| | - Richard D. Hammer
- Anatomic Pathology & Clinical Pathology, University of Missouri, Columbia, MO, USA
| | | | - Richard Webby
- Infectious Diseases, St. Jude Children’s Research Hospital, Memphis, TN, USA
| | - Jun Hang
- Viral Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, MD, USA
| | - Xiu-Feng Wan
- Center for Influenza and Emerging Infectious Diseases, University of Missouri, Columbia, MO, USA
- Molecular Microbiology and Immunology, School of Medicine, University of Missouri, Columbia, MO, USA
- Bond Life Sciences Center, University of Missouri, Columbia, MO, USA
- Institute for Data Science and Informatics, University of Missouri, Columbia, MO, USA
- Department of Electrical Engineering & Computer Science, College of Engineering, University of Missouri, Columbia, MO, USA
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74
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Adly AN, Bi M, Carlson CR, Syed AM, Ciling A, Doudna JA, Cheng Y, Morgan DO. Assembly of SARS-CoV-2 ribonucleosomes by truncated N ∗ variant of the nucleocapsid protein. J Biol Chem 2023; 299:105362. [PMID: 37863261 PMCID: PMC10665939 DOI: 10.1016/j.jbc.2023.105362] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Revised: 10/05/2023] [Accepted: 10/11/2023] [Indexed: 10/22/2023] Open
Abstract
The nucleocapsid (N) protein of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) compacts the RNA genome into viral ribonucleoprotein (vRNP) complexes within virions. Assembly of vRNPs is inhibited by phosphorylation of the N protein serine/arginine (SR) region. Several SARS-CoV-2 variants of concern carry N protein mutations that reduce phosphorylation and enhance the efficiency of viral packaging. Variants of the dominant B.1.1 viral lineage also encode a truncated N protein, termed N∗ or Δ(1-209), that mediates genome packaging despite lacking the N-terminal RNA-binding domain and SR region. Here, we use mass photometry and negative stain electron microscopy to show that purified Δ(1-209) and viral RNA assemble into vRNPs that are remarkably similar in size and shape to those formed with full-length N protein. We show that assembly of Δ(1-209) vRNPs requires the leucine-rich helix of the central disordered region and that this helix promotes N protein oligomerization. We also find that fusion of a phosphomimetic SR region to Δ(1-209) inhibits RNA binding and vRNP assembly. Our results provide new insights into the mechanisms by which RNA binding promotes N protein self-association and vRNP assembly, and how this process is modulated by phosphorylation.
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Affiliation(s)
- Armin N Adly
- Department of Physiology, University of California, San Francisco, California, USA
| | - Maxine Bi
- Department of Biochemistry & Biophysics, University of California, San Francisco, California, USA
| | | | - Abdullah M Syed
- J. David Gladstone Institutes, San Francisco, California, USA
| | - Alison Ciling
- J. David Gladstone Institutes, San Francisco, California, USA
| | - Jennifer A Doudna
- J. David Gladstone Institutes, San Francisco, California, USA; Department of Molecular and Cell Biology, University of California, Berkeley, California, USA; Howard Hughes Medical Institute, University of California, Berkeley, California, USA; Innovative Genomics Institute, University of California, Berkeley, California, USA; California Institute for Quantitative Biosciences (QB3), University of California, Berkeley, California, USA; MBIB Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - Yifan Cheng
- Department of Biochemistry & Biophysics, University of California, San Francisco, California, USA; Howard Hughes Medical Institute, University of California, San Francisco, California, USA
| | - David O Morgan
- Department of Physiology, University of California, San Francisco, California, USA.
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75
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Fenwick C, Turelli P, Duhoo Y, Lau K, Herate C, Marlin R, Lamrayah M, Campos J, Esteves-Leuenberger L, Farina A, Raclot C, Genet V, Fiscalini F, Cesborn J, Perez L, Dereuddre-Bosquet N, Contreras V, Lheureux K, Relouzat F, Abdelnabi R, Leyssen P, Lévy Y, Pojer F, Le Grand R, Trono D, Pantaleo G. Broadly potent anti-SARS-CoV-2 antibody shares 93% of epitope with ACE2 and provides full protection in monkeys. J Infect 2023; 87:524-537. [PMID: 37852477 DOI: 10.1016/j.jinf.2023.10.008] [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: 07/31/2023] [Revised: 10/08/2023] [Accepted: 10/13/2023] [Indexed: 10/20/2023]
Abstract
OBJECTIVES Due to the rapid evolution of SARS-CoV-2 to variants with reduced sensitivity to vaccine-induced humoral immunity and the near complete loss of protective efficacy of licensed therapeutic monoclonal antibodies, we isolated a potent, broad-spectrum neutralizing antibody that could potentially provide prophylactic protection to immunocompromised patient populations. METHODS Spike-specific B-cell clones isolated from a vaccinated post-infected donor were profiled for those producing potent neutralizing antibodies against a panel of SARS-CoV-2 variants. The P4J15 antibody was further characterized to define the structural binding epitope, viral resistance, and in vivo efficacy. RESULTS The P4J15 mAb shows <20 ng/ml neutralizing activity against all variants including the latest XBB.2.3 and EG.5.1 sub-lineages. Structural studies of P4J15 in complex with Omicron XBB.1 Spike show that the P4J15 epitope shares ∼93% of its buried surface area with the ACE2 contact region, consistent with an ACE2 mimetic antibody. In vitro selection of SARS-CoV-2 mutants escaping P4J15 neutralization showed reduced infectivity, poor ACE2 binding, and mutations are rare in public sequence databases. Using a SARS-CoV-2 XBB.1.5 monkey challenge model, P4J15-LS confers complete prophylactic protection with an exceptionally long in vivo half-life of 43 days. CONCLUSIONS The P4J15 mAb has potential as a broad-spectrum anti-SARS-CoV-2 drug for prophylactic protection of at-risk patient populations.
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Affiliation(s)
- Craig Fenwick
- Service of Immunology and Allergy, Department of Medicine, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Priscilla Turelli
- School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Yoan Duhoo
- School of Basic Sciences, Ecole Polytechnique Fédérale de Lausanne and Faculty of Biology and Medicine, UNIL, Lausanne, Switzerland
| | - Kelvin Lau
- School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Cécile Herate
- CEA, Université Paris Sud 11, INSERM U1184, Center for Immunology of Viral Infections and Autoimmune Diseases, IDMIT Department, IBFJ, Fontenay-aux-Roses, France
| | - Romain Marlin
- CEA, Université Paris Sud 11, INSERM U1184, Center for Immunology of Viral Infections and Autoimmune Diseases, IDMIT Department, IBFJ, Fontenay-aux-Roses, France
| | - Myriam Lamrayah
- School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Jérémy Campos
- Service of Immunology and Allergy, Department of Medicine, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Line Esteves-Leuenberger
- Service of Immunology and Allergy, Department of Medicine, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Alex Farina
- Service of Immunology and Allergy, Department of Medicine, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Charlène Raclot
- School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Vanessa Genet
- School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Flurin Fiscalini
- Service of Immunology and Allergy, Department of Medicine, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Julien Cesborn
- Service of Immunology and Allergy, Department of Medicine, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Laurent Perez
- Service of Immunology and Allergy, Department of Medicine, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Nathalie Dereuddre-Bosquet
- CEA, Université Paris Sud 11, INSERM U1184, Center for Immunology of Viral Infections and Autoimmune Diseases, IDMIT Department, IBFJ, Fontenay-aux-Roses, France
| | - Vanessa Contreras
- CEA, Université Paris Sud 11, INSERM U1184, Center for Immunology of Viral Infections and Autoimmune Diseases, IDMIT Department, IBFJ, Fontenay-aux-Roses, France
| | - Kyllian Lheureux
- CEA, Université Paris Sud 11, INSERM U1184, Center for Immunology of Viral Infections and Autoimmune Diseases, IDMIT Department, IBFJ, Fontenay-aux-Roses, France
| | - Francis Relouzat
- CEA, Université Paris Sud 11, INSERM U1184, Center for Immunology of Viral Infections and Autoimmune Diseases, IDMIT Department, IBFJ, Fontenay-aux-Roses, France
| | - Rana Abdelnabi
- KU Leuven Department of Microbiology, Immunology and Transplantation, Rega Institute for Medical Research, Laboratory of Virology and Chemotherapy, B-3000 Leuven, Belgium
| | - Pieter Leyssen
- KU Leuven Department of Microbiology, Immunology and Transplantation, Rega Institute for Medical Research, Laboratory of Virology and Chemotherapy, B-3000 Leuven, Belgium
| | - Yves Lévy
- VRI, Université Paris-Est Créteil, Faculté de Médicine, INSERM U955, 94010 Créteil, France; Inserm U955, Equipe 16, Créteil, France; AP-HP, Hôpital Henri-Mondor Albert-Chenevier, Service d'Immunologie Clinique et Maladies Infectieuses, Créteil, France
| | - Florence Pojer
- School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Roger Le Grand
- CEA, Université Paris Sud 11, INSERM U1184, Center for Immunology of Viral Infections and Autoimmune Diseases, IDMIT Department, IBFJ, Fontenay-aux-Roses, France
| | - Didier Trono
- School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
| | - Giuseppe Pantaleo
- Service of Immunology and Allergy, Department of Medicine, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland; Swiss Vaccine Research Institute, Lausanne University Hospital and University of Lausanne, Switzerland.
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76
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Elfayres G, Paswan RR, Sika L, Girard MP, Khalfi S, Letanneur C, Milette K, Singh A, Kobinger G, Berthoux L. Mammalian cells-based platforms for the generation of SARS-CoV-2 virus-like particles. J Virol Methods 2023; 322:114835. [PMID: 37871706 DOI: 10.1016/j.jviromet.2023.114835] [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: 07/24/2023] [Revised: 10/11/2023] [Accepted: 10/20/2023] [Indexed: 10/25/2023]
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the causative agent of COVID-19. Though many COVID-19 vaccines have been developed, most of them are delivered via intramuscular injection and thus confer relatively weak mucosal immunity against the natural infection. Virus-Like Particles (VLPs) are self-assembled nanostructures composed of key viral structural proteins, that mimic the wild-type virus structure but are non-infectious and non-replicating due to the lack of viral genetic material. In this study, we efficiently generated SARS-CoV-2 VLPs by co-expressing the four SARS-CoV-2 structural proteins, specifically the membrane (M), small envelope (E), spike (S) and nucleocapsid (N) proteins. We show that these proteins are essential and sufficient for the efficient formation and release of SARS-CoV-2 VLPs. Moreover, we used lentiviral vectors to generate human cell lines that stably produce VLPs. Because VLPs can bind to the virus natural receptors, hence leading to entry into cells and viral antigen presentation, this platform could be used to develop novel vaccine candidates that are delivered intranasally.
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Affiliation(s)
- Ghada Elfayres
- Department of Medical Biology and FRQS SIDA/MI Network, Université du Québec à Trois-Rivières, Trois-Rivières, Canada
| | - Ricky Raj Paswan
- Department of Medical Biology and FRQS SIDA/MI Network, Université du Québec à Trois-Rivières, Trois-Rivières, Canada
| | - Laura Sika
- Department of Medical Biology and FRQS SIDA/MI Network, Université du Québec à Trois-Rivières, Trois-Rivières, Canada
| | - Marie-Pierre Girard
- Department of Medical Biology and FRQS SIDA/MI Network, Université du Québec à Trois-Rivières, Trois-Rivières, Canada
| | - Soumia Khalfi
- Department of Medical Biology and FRQS SIDA/MI Network, Université du Québec à Trois-Rivières, Trois-Rivières, Canada
| | - Claire Letanneur
- Department of Medical Biology and FRQS SIDA/MI Network, Université du Québec à Trois-Rivières, Trois-Rivières, Canada; Department of Biochemistry, Chemistry and Physics, Université du Québec à Trois-Rivières, Trois-Rivières, Canada
| | - Kéziah Milette
- Institute of Innovations in Eco-materials, Eco-products and Eco-energies, Université du Québec à Trois-Rivières, Trois-Rivières, Canada
| | - Amita Singh
- Department of Medical Biology and FRQS SIDA/MI Network, Université du Québec à Trois-Rivières, Trois-Rivières, Canada
| | - Gary Kobinger
- University Hospital Research Center and Department of Microbiology and Infectiology, Université Laval, Québec, Canada
| | - Lionel Berthoux
- Department of Medical Biology and FRQS SIDA/MI Network, Université du Québec à Trois-Rivières, Trois-Rivières, Canada.
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Su WC, Chen ZY, Chang YS, Jeng KS, Le UNP, Chou YC, Kuo LL, Melano I, Jesse, Wang WJ, Song YC, Li SR, Hung MC, Lai MMC, Lin CW. Functional assessments of SARS-CoV-2 single-round infectious particles with variant-specific spike proteins on infectivity, drug sensitivity, and antibody neutralization. Antiviral Res 2023; 220:105744. [PMID: 37944823 DOI: 10.1016/j.antiviral.2023.105744] [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: 07/29/2023] [Revised: 11/01/2023] [Accepted: 11/02/2023] [Indexed: 11/12/2023]
Abstract
Working with severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is restricted to biosafety level III (BSL-3) laboratory. The study used a trans-complementation system consisting of virus-like particles (VLPs) and DNA-launched replicons to generate SARS-CoV-2 single-round infectious particles (SRIPs) with variant-specific spike (S) proteins. S gene of Wuhan-Hu-1 strain (SWH1) or Omicron BA.1 variant (SBA.1), along with the envelope (E) and membrane (M) genes, were cloned into a tricistronic vector, co-expressed in the cells to produce variant-specific S-VLPs. Additionally, the replicon of the WH1-like strain without S, E, M and accessory genes, was engineered under the control by a CMV promoter to produce self-replicating RNAs within VLP-producing cells, led to create SWH1- and SBA.1-based SARS-CoV-2 SRIPs. The SBA.1-based SRIP showed lower virus yield, replication, N protein expression, fusogenicity, and infectivity compared to SWH1-based SRIPs. SBA.1-based SRIP also exhibited intermediate resistance to neutralizing antibodies produced by SWH1-based vaccines, but were effective at infecting cells with low ACE2 expression. Importantly, both S-based SRIPs responded similarly to remdesivir and GC376, with EC50 values ranging from 0.17 to 1.46 μM, respectively. The study demonstrated that this trans-complementation system is a reliable and efficient tool for generating SARS-CoV-2 SRIPs with variant-specific S proteins. SARS-CoV-2 SRIPs, mimicking authentic live viruses, facilitate comprehensive analysis of variant-specific virological characteristics, including antibody neutralization, and drug sensitivity in non-BSL-3 laboratories.
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Affiliation(s)
- Wen-Chi Su
- Graduate Institute of Biomedical Sciences, China Medical University, Taichung, 404333, Taiwan; International Master's Program of Biomedical Sciences, China Medical University, Taichung, 404333, Taiwan; Department of Medical Research, China Medical University Hospital, Taichung, 404327, Taiwan; Drug Development Center, China Medical University, Taichung, 404333, Taiwan
| | - Zan-Yu Chen
- Department of Medical Laboratory Science and Biotechnology, China Medical University, Taichung, 404333, Taiwan
| | - Young-Sheng Chang
- Graduate Institute of Biomedical Sciences, China Medical University, Taichung, 404333, Taiwan; Department of Medical Laboratory Science and Biotechnology, China Medical University, Taichung, 404333, Taiwan
| | - King-Song Jeng
- Department of Medical Research, China Medical University Hospital, Taichung, 404327, Taiwan
| | - Uyen Nguyen Phuong Le
- Department of Medical Laboratory Science and Biotechnology, China Medical University, Taichung, 404333, Taiwan; Department of Biological Science and Technology, China Medical University, Taichung, 404333, Taiwan
| | - Yu-Chi Chou
- Biomedical Translation Research Center, Academia Sinica, Taipei, 115201, Taiwan
| | - Li-Lan Kuo
- International Master's Program of Biomedical Sciences, China Medical University, Taichung, 404333, Taiwan
| | - Ivonne Melano
- Graduate Institute of Biomedical Sciences, China Medical University, Taichung, 404333, Taiwan
| | - Jesse
- Graduate Institute of Biomedical Sciences, China Medical University, Taichung, 404333, Taiwan
| | - Wei-Jan Wang
- Department of Biological Science and Technology, China Medical University, Taichung, 404333, Taiwan
| | - Ying-Chyi Song
- Graduate Institute of Integrated Medicine, College of Chinese Medicine, China Medical University, Taichung, Taiwan
| | - Sin-Rong Li
- Department of Medical Laboratory Science and Biotechnology, China Medical University, Taichung, 404333, Taiwan; Department of Laboratory Medicine, China Medical University Hospital, Taichung, 404327, Taiwan
| | - Mien-Chie Hung
- Graduate Institute of Biomedical Sciences, China Medical University, Taichung, 404333, Taiwan; Research Center for Cancer Biology, China Medical University, Taichung, 404327, Taiwan; Center for Molecular Medicine, China Medical University Hospital, Taichung, 404327, Taiwan
| | - Michael M C Lai
- Graduate Institute of Biomedical Sciences, China Medical University, Taichung, 404333, Taiwan; Institute of Molecular Biology, Academia Sinica, Taipei, 115201, Taiwan.
| | - Cheng-Wen Lin
- Graduate Institute of Biomedical Sciences, China Medical University, Taichung, 404333, Taiwan; Drug Development Center, China Medical University, Taichung, 404333, Taiwan; Department of Medical Laboratory Science and Biotechnology, China Medical University, Taichung, 404333, Taiwan; Department of Biological Science and Technology, China Medical University, Taichung, 404333, Taiwan; Department of Medical Laboratory Science and Biotechnology, Asia University, Wufeng, Taichung, 413305, Taiwan.
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Arya R, Tripathi P, Nayak K, Ganesh J, Bihani SC, Ghosh B, Prashar V, Kumar M. Insights into the evolution of mutations in SARS-CoV-2 non-spike proteins. Microb Pathog 2023; 185:106460. [PMID: 37995880 DOI: 10.1016/j.micpath.2023.106460] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 10/16/2023] [Accepted: 11/17/2023] [Indexed: 11/25/2023]
Abstract
The COVID-19 pandemic has been driven by the emergence of SARS-CoV-2 variants with mutations across all the viral proteins. Although mutations in the spike protein have received significant attention, understanding the prevalence and potential impact of mutations in other viral proteins is essential for comprehending the evolution of SARS-CoV-2. Here, we conducted a comprehensive analysis of approximately 14 million sequences of SARS-CoV-2 deposited in the GISAID database until December 2022 to identify prevalent mutations in the non-spike proteins at the global and country levels. Additionally, we evaluated the energetics of each mutation to better understand their impact on protein stability. While the consequences of many mutations remain unclear, we discuss potential structural and functional significance of some mutations. Our study highlights the ongoing evolutionary process of SARS-CoV-2 and underscores the importance of understanding changes in non-spike proteins.
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Affiliation(s)
- Rimanshee Arya
- Protein Crystallography Section, Bhabha Atomic Research Centre, Mumbai, 400085, India; Homi Bhabha National Institute, Anushakti Nagar, Mumbai, 400094, India
| | - Preeti Tripathi
- Protein Crystallography Section, Bhabha Atomic Research Centre, Mumbai, 400085, India
| | - Karthik Nayak
- Protein Crystallography Section, Bhabha Atomic Research Centre, Mumbai, 400085, India; School of Chemical Sciences, UM-DAE Centre for Excellence in Basic Sciences, University of Mumbai, Vidyanagari, Mumbai, 400098, India
| | - Janani Ganesh
- Protein Crystallography Section, Bhabha Atomic Research Centre, Mumbai, 400085, India; Homi Bhabha National Institute, Anushakti Nagar, Mumbai, 400094, India
| | - Subhash C Bihani
- Protein Crystallography Section, Bhabha Atomic Research Centre, Mumbai, 400085, India; Homi Bhabha National Institute, Anushakti Nagar, Mumbai, 400094, India
| | - Biplab Ghosh
- Homi Bhabha National Institute, Anushakti Nagar, Mumbai, 400094, India; Beamline Development & Application Section, Bhabha Atomic Research Centre, Mumbai, 400085, India
| | - Vishal Prashar
- Protein Crystallography Section, Bhabha Atomic Research Centre, Mumbai, 400085, India; Homi Bhabha National Institute, Anushakti Nagar, Mumbai, 400094, India.
| | - Mukesh Kumar
- Protein Crystallography Section, Bhabha Atomic Research Centre, Mumbai, 400085, India; Homi Bhabha National Institute, Anushakti Nagar, Mumbai, 400094, India.
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79
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Cai HL, Huang YW. Reverse genetics systems for SARS-CoV-2: Development and applications. Virol Sin 2023; 38:837-850. [PMID: 37832720 PMCID: PMC10786661 DOI: 10.1016/j.virs.2023.10.001] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2023] [Accepted: 10/07/2023] [Indexed: 10/15/2023] Open
Abstract
The recent emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) caused serious harm to human health and struck a blow to global economic development. Research on SARS-CoV-2 has greatly benefited from the use of reverse genetics systems, which have been established to artificially manipulate the viral genome, generating recombinant and reporter infectious viruses or biosafety level 2 (BSL-2)-adapted non-infectious replicons with desired modifications. These tools have been instrumental in studying the molecular biological characteristics of the virus, investigating antiviral therapeutics, and facilitating the development of attenuated vaccine candidates. Here, we review the construction strategies, development, and applications of reverse genetics systems for SARS-CoV-2, which may be applied to other CoVs as well.
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Affiliation(s)
- Hou-Li Cai
- Department of Veterinary Medicine, Zhejiang University, Hangzhou, 310058, China
| | - Yao-Wei Huang
- Department of Veterinary Medicine, Zhejiang University, Hangzhou, 310058, China; State Key Laboratory for Animal Disease Control and Prevention, South China Agricultural University, Guangzhou, 510642, China; Guangdong Laboratory for Lingnan Modern Agriculture, College of Veterinary Medicine, South China Agricultural University, Guangzhou, 510642, China.
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80
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Chen YL, Bao CJ, Duan JL, Xie Y, Lu WL. Overcoming biological barriers by virus-like drug particles for drug delivery. Adv Drug Deliv Rev 2023; 203:115134. [PMID: 37926218 DOI: 10.1016/j.addr.2023.115134] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2023] [Revised: 10/27/2023] [Accepted: 10/30/2023] [Indexed: 11/07/2023]
Abstract
Virus-like particles (VLPs) have natural structural antigens similar to those found in viruses, making them valuable in vaccine immunization. Furthermore, VLPs have demonstrated significant potential in drug delivery, and emerged as promising vectors for transporting chemical drug, genetic drug, peptide/protein, and even nanoparticle drug. With virus-like permeability and strong retention, they can effectively target specific organs, tissues or cells, facilitating efficient intracellular drug release. Further modifications allow VLPs to transfer across various physiological barriers, thus acting the purpose of efficient drug delivery and accurate therapy. This article provides an overview of VLPs, covering their structural classifications, deliverable drugs, potential physiological barriers in drug delivery, strategies for overcoming these barriers, and future prospects.
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Affiliation(s)
- Yu-Ling Chen
- State Key Laboratory of Natural and Biomimetic Drugs, Beijing Key Laboratory of Molecular Pharmaceutics and Drug Delivery Systems, and School of Pharmaceutical Sciences, Peking University, Beijing 100191, China
| | - Chun-Jie Bao
- State Key Laboratory of Natural and Biomimetic Drugs, Beijing Key Laboratory of Molecular Pharmaceutics and Drug Delivery Systems, and School of Pharmaceutical Sciences, Peking University, Beijing 100191, China; School of Medicine & Holistic Integrative Medicine, Nanjing University of Chinese Medicine, Nanjing 210023, China; Jiangsu Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, Nanjing University of Chinese Medicine, Nanjing 210023, China
| | - Jia-Lun Duan
- State Key Laboratory of Natural and Biomimetic Drugs, Beijing Key Laboratory of Molecular Pharmaceutics and Drug Delivery Systems, and School of Pharmaceutical Sciences, Peking University, Beijing 100191, China; Jiangsu Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, Nanjing University of Chinese Medicine, Nanjing 210023, China
| | - Ying Xie
- State Key Laboratory of Natural and Biomimetic Drugs, Beijing Key Laboratory of Molecular Pharmaceutics and Drug Delivery Systems, and School of Pharmaceutical Sciences, Peking University, Beijing 100191, China.
| | - Wan-Liang Lu
- State Key Laboratory of Natural and Biomimetic Drugs, Beijing Key Laboratory of Molecular Pharmaceutics and Drug Delivery Systems, and School of Pharmaceutical Sciences, Peking University, Beijing 100191, China.
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81
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Saksena NK, Reddy SB, Miranda-Saksena M, Cardoso THS, Silva EMA, Ferreira JC, Rabeh WM. SARS-CoV-2 variants, its recombinants and epigenomic exploitation of host defenses. Biochim Biophys Acta Mol Basis Dis 2023; 1869:166836. [PMID: 37549720 DOI: 10.1016/j.bbadis.2023.166836] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Revised: 07/17/2023] [Accepted: 07/31/2023] [Indexed: 08/09/2023]
Abstract
Since 2003, we have seen the emergence of novel viruses, such as SARS-CoV-1, MERS, ZIKA, swine flu virus H1N1, Marburg, Monkeypox, Ebola, and SARS-CoV-2, but none of them gained pandemic proportions similar to SARS-CoV-2. This could be attributed to unique viral traits, allowing its rapid global dissemination following its emergence in October 2019 in Wuhan, China, which appears to be primarily driven by the emergence of highly transmissible and virulent variants that also associate, in some cases, with severe disease and considerable mortality caused by fatal pneumonia, acute respiratory distress syndrome (ARDS) in infected individuals. Mechanistically, several factors are involved in viral pathogenesis, and epigenetic alterations take the front seat in host-virus interactions. The molecular basis of all viral infections, including SARS-CoV-2, tightly hinges on the transitory silencing of the host gene machinery via epigenetic modulation. SARS-CoV-2 also hijacks and subdues the host gene machinery, leading to epigenetic modulation of the critical host elements responsible for antiviral immunity. Epigenomics is a powerful, unexplored avenue that can provide a profound understanding of virus-host interactions and lead to the development of epigenome-based therapies and vaccines to counter viruses. This review discusses current developments in SARS-CoV-2 variation and its role in epigenetic modulation in infected hosts. This review provides an overview, especially in the context of emerging viral strains, their recombinants, and their possible roles in the epigenetic exploitation of host defense and viral pathogenesis. It provides insights into host-virus interactions at the molecular, genomic, and immunological levels and sheds light on the future of epigenomics-based therapies for SARS-CoV-2 infection.
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Affiliation(s)
- Nitin K Saksena
- Victoria University, Footscray Campus, Melbourne, VIC. Australia.
| | - Srinivasa Bonam Reddy
- Department of Microbiology and Immunology, University of Texas Medical Branch, Galveston, TX 77555, USA
| | | | - Thyago H S Cardoso
- OMICS Centre of Excellence, G42 Healthcare, Mazdar City, Abu Dhabi, United Arab Emirates.
| | - Edson M A Silva
- Science Division, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
| | - Juliana C Ferreira
- Science Division, New York University Abu Dhabi, PO Box 129188, Abu Dhabi, United Arab Emirates.
| | - Wael M Rabeh
- Science Division, New York University Abu Dhabi, PO Box 129188, Abu Dhabi, United Arab Emirates.
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82
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Vickos U, Camasta M, Grandi N, Scognamiglio S, Schindler T, Belizaire MRD, Lango-Yaya E, Koyaweda GW, Senzongo O, Pounguinza S, Estimé KKJF, N’yetobouko S, Gadia CLB, Feiganazoui DA, Le Faou A, Orsini M, Perno CF, Zinzula L, Rafaï CD. COVID-19 Genomic Surveillance in Bangui (Central African Republic) Reveals a Landscape of Circulating Variants Linked to Validated Antiviral Targets of SARS-CoV-2 Proteome. Viruses 2023; 15:2309. [PMID: 38140550 PMCID: PMC10748234 DOI: 10.3390/v15122309] [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: 10/05/2023] [Revised: 11/15/2023] [Accepted: 11/20/2023] [Indexed: 12/24/2023] Open
Abstract
Since its outbreak, Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) spread rapidly, causing the Coronavirus Disease 19 (COVID-19) pandemic. Even with the vaccines' administration, the virus continued to circulate due to inequal access to prevention and therapeutic measures in African countries. Information about COVID-19 in Africa has been limited and contradictory, and thus regional studies are important. On this premise, we conducted a genomic surveillance study about COVID-19 lineages circulating in Bangui, Central African Republic (CAR). We collected 2687 nasopharyngeal samples at four checkpoints in Bangui from 2 to 22 July 2021. Fifty-three samples tested positive for SARS-CoV-2, and viral genomes were sequenced to look for the presence of different viral strains. We performed phylogenetic analysis and described the lineage landscape of SARS-CoV-2 circulating in the CAR along 15 months of pandemics and in Africa during the study period, finding the Delta variant as the predominant Variant of Concern (VoC). The deduced aminoacidic sequences of structural and non-structural genes were determined and compared to reference and reported isolates from Africa. Despite the limited number of positive samples obtained, this study provides valuable information about COVID-19 evolution at the regional level and allows for a better understanding of SARS-CoV-2 circulation in the CAR.
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Affiliation(s)
- Ulrich Vickos
- Department of Diagnostic and Laboratory Medicine, UOC Microbiology and Immunology Diagnostics, Children’s Hospital Bambino Gesù, IRCCS, 00118 Rome, Italy;
- Department of Medicine, Infectious and Tropical Diseases, Sino-Central African Amitié Hospital, Bangui 94045, Central African Republic
| | - Marianna Camasta
- Laboratory of Molecular Virology, Department of Life and Environmental Sciences, University of Cagliari, 09042 Monserrato, Italy; (M.C.); (S.S.)
- Department of Structural Molecular Biology, Max Planck Institute of Biochemistry, 82152 Martinsried, Germany;
| | - Nicole Grandi
- Laboratory of Molecular Virology, Department of Life and Environmental Sciences, University of Cagliari, 09042 Monserrato, Italy; (M.C.); (S.S.)
| | - Sante Scognamiglio
- Laboratory of Molecular Virology, Department of Life and Environmental Sciences, University of Cagliari, 09042 Monserrato, Italy; (M.C.); (S.S.)
| | - Tobias Schindler
- Swiss Tropical and Public Health Institute, 4123 Allschwil, Switzerland;
- Department of Medical Parasitology and Infection Biology, University of Basel, 4051 Basel, Switzerland
| | | | - Ernest Lango-Yaya
- Clinical Biology and Public Health National Laboratory, Bangui 94045, Central African Republic; (E.L.-Y.); (G.W.K.); (O.S.); (S.P.); (K.K.J.F.E.); (S.N.); (C.L.B.G.); (D.-A.F.); (C.D.R.)
| | - Giscard Wilfried Koyaweda
- Clinical Biology and Public Health National Laboratory, Bangui 94045, Central African Republic; (E.L.-Y.); (G.W.K.); (O.S.); (S.P.); (K.K.J.F.E.); (S.N.); (C.L.B.G.); (D.-A.F.); (C.D.R.)
| | - Oscar Senzongo
- Clinical Biology and Public Health National Laboratory, Bangui 94045, Central African Republic; (E.L.-Y.); (G.W.K.); (O.S.); (S.P.); (K.K.J.F.E.); (S.N.); (C.L.B.G.); (D.-A.F.); (C.D.R.)
| | - Simon Pounguinza
- Clinical Biology and Public Health National Laboratory, Bangui 94045, Central African Republic; (E.L.-Y.); (G.W.K.); (O.S.); (S.P.); (K.K.J.F.E.); (S.N.); (C.L.B.G.); (D.-A.F.); (C.D.R.)
| | - Kaleb Kandou Jephté Francis Estimé
- Clinical Biology and Public Health National Laboratory, Bangui 94045, Central African Republic; (E.L.-Y.); (G.W.K.); (O.S.); (S.P.); (K.K.J.F.E.); (S.N.); (C.L.B.G.); (D.-A.F.); (C.D.R.)
| | - Stephanie N’yetobouko
- Clinical Biology and Public Health National Laboratory, Bangui 94045, Central African Republic; (E.L.-Y.); (G.W.K.); (O.S.); (S.P.); (K.K.J.F.E.); (S.N.); (C.L.B.G.); (D.-A.F.); (C.D.R.)
| | - Christelle Luce Bobossi Gadia
- Clinical Biology and Public Health National Laboratory, Bangui 94045, Central African Republic; (E.L.-Y.); (G.W.K.); (O.S.); (S.P.); (K.K.J.F.E.); (S.N.); (C.L.B.G.); (D.-A.F.); (C.D.R.)
| | - Dominos-Alfred Feiganazoui
- Clinical Biology and Public Health National Laboratory, Bangui 94045, Central African Republic; (E.L.-Y.); (G.W.K.); (O.S.); (S.P.); (K.K.J.F.E.); (S.N.); (C.L.B.G.); (D.-A.F.); (C.D.R.)
| | - Alain Le Faou
- EA 3452 CITHEFOR, Campus Brabois Santé, 54500 Vandœuvre-lès-Nancy, France;
- Faculty of Medicine, Maieutic and Health Sciences, University of Lorraine, Pole Brabois Santé, 54500 Nancy, France
| | - Massimiliano Orsini
- General and Experimental Microbiology, Laboratory of Microbial Ecology and Genomics of Microorganisms, Experimental Zooprophylactic Institute of the Venezie (IZSVe), 35020 Legnaro, Italy;
| | - Carlo Federico Perno
- Department of Diagnostic and Laboratory Medicine, UOC Microbiology and Immunology Diagnostics, Children’s Hospital Bambino Gesù, IRCCS, 00118 Rome, Italy;
| | - Luca Zinzula
- Department of Structural Molecular Biology, Max Planck Institute of Biochemistry, 82152 Martinsried, Germany;
| | - Clotaire Donatien Rafaï
- Clinical Biology and Public Health National Laboratory, Bangui 94045, Central African Republic; (E.L.-Y.); (G.W.K.); (O.S.); (S.P.); (K.K.J.F.E.); (S.N.); (C.L.B.G.); (D.-A.F.); (C.D.R.)
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83
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Zhao H, Syed AM, Khalid MM, Nguyen A, Ciling A, Wu D, Yau WM, Srinivasan S, Esposito D, Doudna JA, Piszczek G, Ott M, Schuck P. Assembly reactions of SARS-CoV-2 nucleocapsid protein with nucleic acid. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.11.22.568361. [PMID: 38045338 PMCID: PMC10690241 DOI: 10.1101/2023.11.22.568361] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/05/2023]
Abstract
The viral genome of SARS-CoV-2 is packaged by the nucleocapsid (N-) protein into ribonucleoprotein particles (RNPs), 38±10 of which are contained in each virion. Their architecture has remained unclear due to the pleomorphism of RNPs, the high flexibility of N-protein intrinsically disordered regions, and highly multivalent interactions between viral RNA and N-protein binding sites in both N-terminal (NTD) and C-terminal domain (CTD). Here we explore critical interaction motifs of RNPs by applying a combination of biophysical techniques to mutant proteins binding different nucleic acids in an in vitro assay for RNP formation, and by examining mutant proteins in a viral assembly assay. We find that nucleic acid-bound N-protein dimers oligomerize via a recently described protein-protein interface presented by a transient helix in its long disordered linker region between NTD and CTD. The resulting hexameric complexes are stabilized by multi-valent protein-nucleic acid interactions that establish crosslinks between dimeric subunits. Assemblies are stabilized by the dimeric CTD of N-protein offering more than one binding site for stem-loop RNA. Our study suggests a model for RNP assembly where N-protein scaffolding at high density on viral RNA is followed by cooperative multimerization through protein-protein interactions in the disordered linker.
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Affiliation(s)
- Huaying Zhao
- Laboratory of Dynamics of Macromolecular Assembly, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, MD 20892
| | - Abdullah M. Syed
- Gladstone Institutes, San Francisco, CA 94158
- Innovative Genomics Institute, University of California, Berkeley, CA 94720
| | | | - Ai Nguyen
- Laboratory of Dynamics of Macromolecular Assembly, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, MD 20892
| | - Alison Ciling
- Gladstone Institutes, San Francisco, CA 94158
- Innovative Genomics Institute, University of California, Berkeley, CA 94720
| | - Di Wu
- Biophysics Core Facility, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892
| | - Wai-Ming Yau
- Laboratory of Chemical Physics, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892
| | - Sanjana Srinivasan
- Laboratory of Dynamics of Macromolecular Assembly, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, MD 20892
| | - Dominic Esposito
- Protein Expression Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD 21702
| | - Jennifer A. Doudna
- Gladstone Institutes, San Francisco, CA 94158
- Department of Molecular and Cell Biology, University of California, Berkeley, CA 94720
- HHMI, University of California, Berkeley, CA 94720
- Department of Chemistry, University of California, Berkeley, CA 94720
- Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720
- California Institute for Quantitative Biosciences (QB3), University of California, Berkeley, CA 94720
| | - Grzegorz Piszczek
- Biophysics Core Facility, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892
| | - Melanie Ott
- Gladstone Institutes, San Francisco, CA 94158
- Department of Medicine, University of California, San Francisco, CA 94143
- Chan Zuckerberg Biohub, San Francisco, CA 94158
| | - Peter Schuck
- Laboratory of Dynamics of Macromolecular Assembly, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, MD 20892
- Center for Biomedical Engineering Technology Acceleration, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, MD 20892
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84
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Nakagawa S, Katayama T, Jin L, Wu J, Kryukov K, Oyachi R, Takeuchi JS, Fujisawa T, Asano S, Komatsu M, Onami JI, Abe T, Arita M. SARS-CoV-2 HaploGraph: visualization of SARS-CoV-2 haplotype spread in Japan. Genes Genet Syst 2023; 98:221-237. [PMID: 37839865 DOI: 10.1266/ggs.23-00085] [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] [Indexed: 10/17/2023] Open
Abstract
Since the early phase of the coronavirus disease 2019 (COVID-19) pandemic, a number of research institutes have been sequencing and sharing high-quality severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) genomes to trace the route of infection in Japan. To provide insight into the spread of COVID-19, we developed a web platform named SARS-CoV-2 HaploGraph to visualize the emergence timing and geographical transmission of SARS-CoV-2 haplotypes. Using data from the GISAID EpiCoV database as of June 4, 2022, we created a haplotype naming system by determining the ancestral haplotype for each epidemic wave and showed prefecture- or region-specific haplotypes in each of four waves in Japan. The SARS-CoV-2 HaploGraph allows for interactive tracking of virus evolution and of geographical prevalence of haplotypes, and aids in developing effective public health control strategies during the global pandemic. The code and the data used for this study are publicly available at: https://github.com/ktym/covid19/.
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Affiliation(s)
- So Nakagawa
- Bioinformation and DDBJ Center, National Institute of Genetics
- Department of Molecular Life Science, Tokai University School of Medicine
- Micro/Nano Technology Center, Tokai University
- Institute of Medical Sciences, Tokai University
| | | | | | - Jiaqi Wu
- Department of Molecular Life Science, Tokai University School of Medicine
| | - Kirill Kryukov
- Bioinformation and DDBJ Center, National Institute of Genetics
- Department of Informatics, National Institute of Genetics
| | - Rise Oyachi
- Department of Molecular Life Science, Tokai University School of Medicine
| | - Junko S Takeuchi
- Center for Clinical Sciences, National Center for Global Health and Medicine
| | | | - Satomi Asano
- Department of Informatics, National Institute of Genetics
| | - Momoka Komatsu
- Smart Information Systems, Faculty of Engineering, Niigata University
| | - Jun-Ichi Onami
- Research Center for Open Science and Data Platform, National Institute of Informatics
| | - Takashi Abe
- Bioinformation and DDBJ Center, National Institute of Genetics
- Smart Information Systems, Faculty of Engineering, Niigata University
| | - Masanori Arita
- Bioinformation and DDBJ Center, National Institute of Genetics
- Department of Informatics, National Institute of Genetics
- RIKEN Center for Sustainable Resource Science
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85
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Huang C, Cao C, Xu Z, Lin Y, Wu J, Weng Q, Liu Z, Jin Y, Chen P, Hua Q. A blocking ELISA based on virus-like nanoparticles chimerized with an antigenic epitope of ASFV P54 for detecting ASFV antibodies. Sci Rep 2023; 13:19928. [PMID: 37968284 PMCID: PMC10651890 DOI: 10.1038/s41598-023-47068-x] [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: 04/10/2023] [Accepted: 11/08/2023] [Indexed: 11/17/2023] Open
Abstract
African swine fever virus (ASFV) is a highly lethal pathogen of domestic and wild pigs. Due to no vaccines or drugs available, early accurate diagnosis and eradication of infected animals are the most important measures for ASFV prevention and control. Bluetongue virus (BTV) core-like particles (CLPs) are non-infectious hollow nanoparticles assembled from the BTV VP3 and VP7 proteins, which could be used as a platform for presenting foreign epitopes. In this study, the secondary structure of BTV VP7 protein was analyzed and predicted using the IEDB Analysis resource. Based on the prediction results of the VP7 protein, the chimeric CLPs with an ASFV P54 epitope were successfully prepared through the BAC-to-BAC baculovirus expression system and sucrose gradient centrifugation. Based on the chimeric CLPs and mAb 2E4 against AFSV P54 epitope, a blocking ELISA for detecting AFSV antibodies was established, and its reaction conditions were optimized. Through comprehensive evaluation of the method, the results showed the chimeric CLPs-based blocking ELISA displayed the best detection performance, with an AUC of 0.9961, a sensitivity of 97.65%, and a specificity of 95.24% in ROC analysis. Compared with western blot and a commercial c-ELISA for detecting anti-ASFV antibodies, this method had an excellent agreement of 96.35% (kappa value = 0.911) and 97.76% (kappa value = 0.946) with the other tests, respectively. This ELISA also had high repeatability, with CV < 10%, and no cross-reaction with the serum antibodies against other swine viruses or Orbivirus. In brief, this was the first report on developing a blocking ELISA based on virus-like nanoparticles chimerized with an antigenic epitope of ASFV P54 for serological diagnosis of ASFV.
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Affiliation(s)
- Chaohua Huang
- Animal and Plant Inspection and Quarantine Center of Shenzhen Customs, Shenzhen, 518045, People's Republic of China
| | - Chenfu Cao
- Animal and Plant Inspection and Quarantine Center of Shenzhen Customs, Shenzhen, 518045, People's Republic of China
| | - Zhichao Xu
- State Key Laboratory of Biocontrol, School of Life Science, Sun Yat-Sen University, Guangzhou, 510006, People's Republic of China
| | - Yanxing Lin
- Animal and Plant Inspection and Quarantine Center of Shenzhen Customs, Shenzhen, 518045, People's Republic of China
| | - Jiang Wu
- Animal and Plant Inspection and Quarantine Center of Shenzhen Customs, Shenzhen, 518045, People's Republic of China
| | - Qiaoyu Weng
- Animal and Plant Inspection and Quarantine Center of Shenzhen Customs, Shenzhen, 518045, People's Republic of China
| | - Zheng Liu
- Kobilka Institute of Innovative Drug Discovery, School of Medicine, Chinese University of Hong Kong, Shenzhen, 518172, People's Republic of China
| | - Ye Jin
- Hu Nan Project Bioscience LTD, Changsha, 410137, People's Republic of China
| | - Peng Chen
- Shenzhen Biolove Technology CO., LTD., Shenzhen, 518110, People's Republic of China
| | - Qunyi Hua
- Animal and Plant Inspection and Quarantine Center of Shenzhen Customs, Shenzhen, 518045, People's Republic of China.
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86
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Gayvert K, McKay S, Lim WK, Baum A, Kyratsous C, Copin R, Atwal GS. Evolutionary trajectory of SARS-CoV-2 genome shifts during widespread vaccination and emergence of Omicron variant. NPJ VIRUSES 2023; 1:5. [PMID: 40295667 PMCID: PMC11721106 DOI: 10.1038/s44298-023-00007-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Accepted: 10/25/2023] [Indexed: 04/30/2025]
Abstract
Understanding the adaptation of SARS-CoV-2 is critical for the development of effective treatments against this exceptionally successful human pathogen. To predict the emergence of new variants that may escape host immunity or increase virulence, it is important to characterize the biological forces driving its evolution. We conducted a comprehensive population genetic study of over thirteen million SARS-CoV-2 genome sequences, collected over a timeframe of ~3 years, to investigate these forces. Our analysis revealed that during the first year of the pandemic (2020 to 2021), the SARS-CoV-2 genome was subject to strong conservation, with only 3.6% of sites under diversifying pressure in the receptor binding domain (RBD) of the Spike protein. However, we observed a sharp increase in the diversification of the RBD during 2021 (8.1% of sites under diversifying pressure up to 2022), indicating selective pressures that promote the accumulation of mutations. This period coincided with broad viral infection and adoption of vaccination worldwide, and we observed the acquisition of mutations that later defined the Omicron lineages in independent SARS-CoV-2 strains, suggesting that diversifying selection at these sites could have led to their fixation in Omicron lineages by convergent evolution. Since the emergence of Omicron, we observed a further decrease in the conservation of structural genes, including M, N, and the spike proteins (13.1% of RBD sites under diversifying pressure up to 2023), and identified new sites defining future potential emerging strains. Our results exhibit that ongoing rapid antigenic evolution continues to produce new high-frequency functional variants. Sites under selection are critical for virus fitness, and currently known T cell epitope sequences are highly conserved. Altogether, our study provides a comprehensive dynamic map of sites under selection and conservation across the entirety of the SARS-CoV-2 genome.
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Affiliation(s)
| | - Sheldon McKay
- Regeneron Pharmaceuticals Inc., Tarrytown, NY, 10091, USA
| | - Wei Keat Lim
- Regeneron Pharmaceuticals Inc., Tarrytown, NY, 10091, USA
| | - Alina Baum
- Regeneron Pharmaceuticals Inc., Tarrytown, NY, 10091, USA
| | | | - Richard Copin
- Regeneron Pharmaceuticals Inc., Tarrytown, NY, 10091, USA.
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87
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Lusvarghi S, Stauft CB, Vassell R, Williams B, Baha H, Wang W, Neerukonda SN, Wang T, Weiss CD. Effects of N-glycan modifications on spike expression, virus infectivity, and neutralization sensitivity in ancestral compared to Omicron SARS-CoV-2 variants. PLoS Pathog 2023; 19:e1011788. [PMID: 37943965 PMCID: PMC10662749 DOI: 10.1371/journal.ppat.1011788] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Revised: 11/21/2023] [Accepted: 10/30/2023] [Indexed: 11/12/2023] Open
Abstract
The SARS-CoV-2 spike glycoprotein has 22 potential N-linked glycosylation sites per monomer that are highly conserved among diverse variants, but how individual glycans affect virus entry and neutralization of Omicron variants has not been extensively characterized. Here we compared the effects of specific glycan deletions or modifications in the Omicron BA.1 and D614G spikes on spike expression, processing, and incorporation into pseudoviruses, as well as on virus infectivity and neutralization by therapeutic antibodies. We found that loss of potential glycans at spike residues N717 and N801 each conferred a loss of pseudovirus infectivity for Omicron but not for D614G or Delta variants. This decrease in infectivity correlated with decreased spike processing and incorporation into Omicron pseudoviruses. Oligomannose-enriched Omicron pseudoviruses generated in GnTI- cells or in the presence of kifunensine were non-infectious, whereas D614G or Delta pseudoviruses generated under similar conditions remained infectious. Similarly, growth of live (authentic) SARS-CoV-2 in the presence of kifunensine resulted in a greater reduction of titers for the BA.1.1 variant than Delta or D614G variants relative to their respective, untreated controls. Finally, we found that loss of some N-glycans, including N343 and N234, increased the maximum percent neutralization by the class 3 S309 monoclonal antibody against D614G but not BA.1 variants, while these glycan deletions altered the neutralization potency of the class 1 COV2-2196 and Etesevimab monoclonal antibodies without affecting maximum percent neutralization. The maximum neutralization by some antibodies also varied with the glycan composition, with oligomannose-enriched pseudoviruses conferring the highest percent neutralization. These results highlight differences in the interactions between glycans and residues among SARS-CoV-2 variants that can affect spike expression, virus infectivity, and susceptibility of variants to antibody neutralization.
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Affiliation(s)
- Sabrina Lusvarghi
- Division of Viral Products, Office of Vaccines Research and Review, Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring Maryland, United States of America
| | - Charles B. Stauft
- Division of Viral Products, Office of Vaccines Research and Review, Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring Maryland, United States of America
| | - Russell Vassell
- Division of Viral Products, Office of Vaccines Research and Review, Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring Maryland, United States of America
| | - Brittany Williams
- Division of Viral Products, Office of Vaccines Research and Review, Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring Maryland, United States of America
| | - Haseebullah Baha
- Division of Viral Products, Office of Vaccines Research and Review, Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring Maryland, United States of America
| | - Wei Wang
- Division of Viral Products, Office of Vaccines Research and Review, Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring Maryland, United States of America
| | - Sabari Nath Neerukonda
- Division of Viral Products, Office of Vaccines Research and Review, Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring Maryland, United States of America
| | - Tony Wang
- Division of Viral Products, Office of Vaccines Research and Review, Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring Maryland, United States of America
| | - Carol D. Weiss
- Division of Viral Products, Office of Vaccines Research and Review, Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring Maryland, United States of America
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88
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Roessler J, Pich D, Krähling V, Becker S, Keppler OT, Zeidler R, Hammerschmidt W. SARS-CoV-2 and Epstein-Barr Virus-like Particles Associate and Fuse with Extracellular Vesicles in Virus Neutralization Tests. Biomedicines 2023; 11:2892. [PMID: 38001893 PMCID: PMC10669694 DOI: 10.3390/biomedicines11112892] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Revised: 10/19/2023] [Accepted: 10/23/2023] [Indexed: 11/26/2023] Open
Abstract
The successful development of effective viral vaccines depends on well-known correlates of protection, high immunogenicity, acceptable safety criteria, low reactogenicity, and well-designed immune monitoring and serology. Virus-neutralizing antibodies are often a good correlate of protective immunity, and their serum concentration is a key parameter during the pre-clinical and clinical testing of vaccine candidates. Viruses are inherently infectious and potentially harmful, but we and others developed replication-defective SARS-CoV-2 virus-like-particles (VLPs) as surrogates for infection to quantitate neutralizing antibodies with appropriate target cells using a split enzyme-based approach. Here, we show that SARS-CoV-2 and Epstein-Barr virus (EBV)-derived VLPs associate and fuse with extracellular vesicles in a highly specific manner, mediated by the respective viral fusion proteins and their corresponding host receptors. We highlight the capacity of virus-neutralizing antibodies to interfere with this interaction and demonstrate a potent application using this technology. To overcome the common limitations of most virus neutralization tests, we developed a quick in vitro diagnostic assay based on the fusion of SARS-CoV-2 VLPs with susceptible vesicles to quantitate neutralizing antibodies without the need for infectious viruses or living cells. We validated this method by testing a set of COVID-19 patient serum samples, correlated the results with those of a conventional test, and found good sensitivity and specificity. Furthermore, we demonstrate that this serological assay can be adapted to a human herpesvirus, EBV, and possibly other enveloped viruses.
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Affiliation(s)
- Johannes Roessler
- Department of Otorhinolaryngology, University Hospital, Ludwig-Maximilians-Universität (LMU) München, 81377 Munich, Germany; (J.R.); (R.Z.)
- Research Unit Gene Vectors, Helmholtz Zentrum München, German Research Center for Environmental Health, 81377 Munich, Germany;
- German Centre for Infection Research (DZIF), Partner Site Munich, 81377 Munich, Germany;
| | - Dagmar Pich
- Research Unit Gene Vectors, Helmholtz Zentrum München, German Research Center for Environmental Health, 81377 Munich, Germany;
- German Centre for Infection Research (DZIF), Partner Site Munich, 81377 Munich, Germany;
| | - Verena Krähling
- Institute of Virology, Faculty of Medicine, Philipps University Marburg, 35043 Marburg, Germany; (V.K.); (S.B.)
- German Centre for Infection Research (DZIF), Partner Site Giessen-Marburg-Langen, 35043 Marburg, Germany
| | - Stephan Becker
- Institute of Virology, Faculty of Medicine, Philipps University Marburg, 35043 Marburg, Germany; (V.K.); (S.B.)
- German Centre for Infection Research (DZIF), Partner Site Giessen-Marburg-Langen, 35043 Marburg, Germany
| | - Oliver T. Keppler
- German Centre for Infection Research (DZIF), Partner Site Munich, 81377 Munich, Germany;
- COVID-19 Registry of the LMU Munich (CORKUM), LMU University Hospital, 81377 Munich, Germany
- Max von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, Faculty of Medicine, Ludwig-Maximilians-Universität (LMU) München, 81377 Munich, Germany
| | - Reinhard Zeidler
- Department of Otorhinolaryngology, University Hospital, Ludwig-Maximilians-Universität (LMU) München, 81377 Munich, Germany; (J.R.); (R.Z.)
- German Centre for Infection Research (DZIF), Partner Site Munich, 81377 Munich, Germany;
- Institute of Structural Biology, Helmholtz Munich, 85764 Neuherberg, Germany
| | - Wolfgang Hammerschmidt
- Research Unit Gene Vectors, Helmholtz Zentrum München, German Research Center for Environmental Health, 81377 Munich, Germany;
- German Centre for Infection Research (DZIF), Partner Site Munich, 81377 Munich, Germany;
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89
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Bouhaddou M, Reuschl AK, Polacco BJ, Thorne LG, Ummadi MR, Ye C, Rosales R, Pelin A, Batra J, Jang GM, Xu J, Moen JM, Richards AL, Zhou Y, Harjai B, Stevenson E, Rojc A, Ragazzini R, Whelan MVX, Furnon W, De Lorenzo G, Cowton V, Syed AM, Ciling A, Deutsch N, Pirak D, Dowgier G, Mesner D, Turner JL, McGovern BL, Rodriguez ML, Leiva-Rebollo R, Dunham AS, Zhong X, Eckhardt M, Fossati A, Liotta NF, Kehrer T, Cupic A, Rutkowska M, Mena I, Aslam S, Hoffert A, Foussard H, Olwal CO, Huang W, Zwaka T, Pham J, Lyons M, Donohue L, Griffin A, Nugent R, Holden K, Deans R, Aviles P, Lopez-Martin JA, Jimeno JM, Obernier K, Fabius JM, Soucheray M, Hüttenhain R, Jungreis I, Kellis M, Echeverria I, Verba K, Bonfanti P, Beltrao P, Sharan R, Doudna JA, Martinez-Sobrido L, Patel AH, Palmarini M, Miorin L, White K, Swaney DL, Garcia-Sastre A, Jolly C, Zuliani-Alvarez L, Towers GJ, Krogan NJ. SARS-CoV-2 variants evolve convergent strategies to remodel the host response. Cell 2023; 186:4597-4614.e26. [PMID: 37738970 PMCID: PMC10604369 DOI: 10.1016/j.cell.2023.08.026] [Citation(s) in RCA: 56] [Impact Index Per Article: 28.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 05/22/2023] [Accepted: 08/22/2023] [Indexed: 09/24/2023]
Abstract
SARS-CoV-2 variants of concern (VOCs) emerged during the COVID-19 pandemic. Here, we used unbiased systems approaches to study the host-selective forces driving VOC evolution. We discovered that VOCs evolved convergent strategies to remodel the host by modulating viral RNA and protein levels, altering viral and host protein phosphorylation, and rewiring virus-host protein-protein interactions. Integrative computational analyses revealed that although Alpha, Beta, Gamma, and Delta ultimately converged to suppress interferon-stimulated genes (ISGs), Omicron BA.1 did not. ISG suppression correlated with the expression of viral innate immune antagonist proteins, including Orf6, N, and Orf9b, which we mapped to specific mutations. Later Omicron subvariants BA.4 and BA.5 more potently suppressed innate immunity than early subvariant BA.1, which correlated with Orf6 levels, although muted in BA.4 by a mutation that disrupts the Orf6-nuclear pore interaction. Our findings suggest that SARS-CoV-2 convergent evolution overcame human adaptive and innate immune barriers, laying the groundwork to tackle future pandemics.
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Affiliation(s)
- Mehdi Bouhaddou
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Microbiology, Immunology, and Molecular Genetics (MIMG), University of California, Los Angeles, Los Angeles, CA, USA; Institute for Quantitative and Computational Biosciences (QCBio), University of California, Los Angeles, Los Angeles, CA, USA; Molecular Biology Institute, University of California, Los Angeles, Los Angeles, CA, USA
| | - Ann-Kathrin Reuschl
- QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Division of Infection and Immunity, University College London, London, UK
| | - Benjamin J Polacco
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | - Lucy G Thorne
- QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Division of Infection and Immunity, University College London, London, UK
| | - Manisha R Ummadi
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | - Chengjin Ye
- QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Texas Biomedical Research Institute, San Antonio, TX, USA
| | - Romel Rosales
- QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; 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
| | - Adrian Pelin
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | - Jyoti Batra
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | - Gwendolyn M Jang
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | - Jiewei Xu
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | - Jack M Moen
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | - Alicia L Richards
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | - Yuan Zhou
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | - Bhavya Harjai
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | - Erica Stevenson
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | - Ajda Rojc
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | - Roberta Ragazzini
- Division of Infection and Immunity, University College London, London, UK; Epithelial Stem Cell Biology and Regenerative Medicine Laboratory, The Francis Crick Institute, London, UK
| | - Matthew V X Whelan
- Division of Infection and Immunity, University College London, London, UK
| | - Wilhelm Furnon
- MRC-University of Glasgow Centre for Virus Research, University of Glasgow, Glasgow, UK
| | - Giuditta De Lorenzo
- MRC-University of Glasgow Centre for Virus Research, University of Glasgow, Glasgow, UK
| | - Vanessa Cowton
- MRC-University of Glasgow Centre for Virus Research, University of Glasgow, Glasgow, UK
| | - Abdullah M Syed
- QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA; Innovative Genomics Institute, University of California, Berkeley, Berkeley, CA, USA
| | - Alison Ciling
- QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA; Innovative Genomics Institute, University of California, Berkeley, Berkeley, CA, USA
| | - Noa Deutsch
- School of Computer Science, Tel Aviv University, Tel Aviv, Israel
| | - Daniel Pirak
- School of Electrical Engineering, Tel Aviv University, Tel Aviv, Israel
| | - Giulia Dowgier
- COVID Surveillance Unit, The Francis Crick Institute, London, UK
| | - Dejan Mesner
- Division of Infection and Immunity, University College London, London, UK
| | - Jane L Turner
- Division of Infection and Immunity, University College London, London, UK
| | - Briana L McGovern
- QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - M Luis Rodriguez
- QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Rocio Leiva-Rebollo
- QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; 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
| | - Alistair S Dunham
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Cambridge, UK; Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Saffron Walden, UK
| | - Xiaofang Zhong
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | - Manon Eckhardt
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | - Andrea Fossati
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | - Nicholas F Liotta
- QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA
| | - Thomas Kehrer
- QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; 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; Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Anastasija Cupic
- QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; 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; Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Magdalena Rutkowska
- QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; 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; Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ignacio Mena
- QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; 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
| | - Sadaf Aslam
- QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; 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
| | - Alyssa Hoffert
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | - Helene Foussard
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | - Charles Ochieng' Olwal
- QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; West African Centre for Cell Biology of Infectious Pathogens (WACCBIP), University of Ghana, Accra, Ghana; Department of Biochemistry, Cell and Molecular Biology, College of Basic and Applied Sciences, University of Ghana, Accra, Ghana
| | - Weiqing Huang
- Huffington Center for Cell-based Research in Parkinson's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Cell, Developmental and Regenerative Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Thomas Zwaka
- Huffington Center for Cell-based Research in Parkinson's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Cell, Developmental and Regenerative Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - John Pham
- Synthego Corporation, Redwood City, CA, USA
| | | | | | | | | | | | | | | | | | | | - Kirsten Obernier
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | - Jacqueline M Fabius
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | - Margaret Soucheray
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | - Ruth Hüttenhain
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | - Irwin Jungreis
- MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Manolis Kellis
- MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Ignacia Echeverria
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA
| | - Kliment Verba
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA
| | - Paola Bonfanti
- Division of Infection and Immunity, University College London, London, UK; Epithelial Stem Cell Biology and Regenerative Medicine Laboratory, The Francis Crick Institute, London, UK
| | - Pedro Beltrao
- QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Cambridge, UK; Institute of Molecular Systems Biology, Department of Biology, ETH Zürich, Zurich, Switzerland
| | - Roded Sharan
- School of Computer Science, Tel Aviv University, Tel Aviv, Israel
| | - Jennifer A Doudna
- QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA; Innovative Genomics Institute, University of California, Berkeley, Berkeley, CA, USA; Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA, USA; Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA; Howard Hughes Medical Institute, University of California, Berkeley, Berkeley, CA, USA; Department of Chemistry, University of California, Berkeley, Berkeley, CA, USA; California Institute for Quantitative Biosciences (QB3), University of California, Berkeley, Berkeley, CA, USA; Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA
| | - Luis Martinez-Sobrido
- QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Texas Biomedical Research Institute, San Antonio, TX, USA
| | - Arvind H Patel
- MRC-University of Glasgow Centre for Virus Research, University of Glasgow, Glasgow, UK
| | - Massimo Palmarini
- MRC-University of Glasgow Centre for Virus Research, University of Glasgow, Glasgow, UK
| | - Lisa Miorin
- QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; 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
| | - Kris White
- QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; 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
| | - Danielle L Swaney
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | - Adolfo Garcia-Sastre
- QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; 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; Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| | - Clare Jolly
- QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Division of Infection and Immunity, University College London, London, UK.
| | - Lorena Zuliani-Alvarez
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA.
| | - Greg J Towers
- QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Division of Infection and Immunity, University College London, London, UK.
| | - Nevan J Krogan
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; QBI Coronavirus Research Group (QCRG), University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA.
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90
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Haque S, Khatoon F, Ashgar SS, Faidah H, Bantun F, Jalal NA, Qashqari FSI, Kumar V. Energetic and frustration analysis of SARS-CoV-2 nucleocapsid protein mutations. Biotechnol Genet Eng Rev 2023; 39:1234-1254. [PMID: 36708355 DOI: 10.1080/02648725.2023.2170031] [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: 08/07/2022] [Accepted: 01/11/2023] [Indexed: 01/29/2023]
Abstract
The ongoing COVID-19 spreads worldwide with the ability to evolve in diverse human populations. The nucleocapsid (N) protein is one of the mutational hotspots in the SARS-CoV-2 genome. The N protein is an abundant RNA-binding protein critical for viral genome packaging. It comprises two large domains including the N-terminal domain (NTD) and the C-terminal domain (CTD) linked by the centrally located linker region. Mutations in N protein have been reported to increase the severity of disease by modulating viral transmissibility, replication efficiency as well as virulence properties of the virus in different parts of the world. To study the effect of N protein missense mutations on protein stability, function, and pathogenicity, we analyzed 228 mutations from each domain of N protein. Further, we have studied the effect of mutations on local residual frustration changes in N protein. Out of 228 mutations, 11 mutations were predicted to be deleterious and destabilized. Among these mutations, R32C, R191C, and R203 M mutations fall into disordered regions and show significant change in frustration state. Overall, this work reveals that by altering the energetics and residual frustration, N protein mutations might affect the stability, function, and pathogenicity of the SARS-CoV-2.
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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
- Gilbert and Rose-Marie Chagoury School of Medicine, Lebanese American University, Beirut, Lebanon
- Centre of Medical and Bio-Allied Health Sciences Research, Ajman University, Ajman, United Arab Emirates
| | - Fatima Khatoon
- Amity Institute of Neuropsychology & Neurosciences (AINN), Amity University, Noida, India
| | - Sami S Ashgar
- Department of Microbiology, Faculty of Medicine, Umm Al-Qura University, Makkah, Saudi Arabia
| | - Hani Faidah
- Department of Microbiology, Faculty of Medicine, Umm Al-Qura University, Makkah, 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
| | - Fadi S I Qashqari
- Department of Microbiology, Faculty of Medicine, Umm Al-Qura University, Makkah, Saudi Arabia
| | - Vijay Kumar
- Amity Institute of Neuropsychology & Neurosciences (AINN), Amity University, Noida, India
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91
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Gilbertson B, Subbarao K. What Have We Learned by Resurrecting the 1918 Influenza Virus? Annu Rev Virol 2023; 10:25-47. [PMID: 37774132 DOI: 10.1146/annurev-virology-111821-104408] [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: 10/01/2023]
Abstract
The 1918 Spanish influenza pandemic was one of the deadliest infectious disease events in recorded history, resulting in approximately 50-100 million deaths worldwide. The origins of the 1918 virus and the molecular basis for its exceptional virulence remained a mystery for much of the 20th century because the pandemic predated virologic techniques to isolate, passage, and store influenza viruses. In the late 1990s, overlapping fragments of influenza viral RNA preserved in the tissues of several 1918 victims were amplified and sequenced. The use of influenza reverse genetics then permitted scientists to reconstruct the 1918 virus entirely from cloned complementary DNA, leading to new insights into the origin of the virus and its pathogenicity. Here, we discuss some of the advances made by resurrection of the 1918 virus, including the rise of innovative molecular research, which is a topic in the dual use debate.
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Affiliation(s)
- Brad Gilbertson
- Department of Microbiology and Immunology, The University of Melbourne, Melbourne, Victoria, Australia
| | - Kanta Subbarao
- Department of Microbiology and Immunology, The University of Melbourne, Melbourne, Victoria, Australia
- WHO Collaborating Centre for Reference and Research on Influenza, The Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia;
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92
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Zak AJ, Hoang T, Yee CM, Rizvi SM, Prabhu P, Wen F. Pseudotyping Improves the Yield of Functional SARS-CoV-2 Virus-like Particles (VLPs) as Tools for Vaccine and Therapeutic Development. Int J Mol Sci 2023; 24:14622. [PMID: 37834067 PMCID: PMC10572262 DOI: 10.3390/ijms241914622] [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: 08/14/2023] [Revised: 09/08/2023] [Accepted: 09/16/2023] [Indexed: 10/15/2023] Open
Abstract
Virus-like particles (VLPs) have been proposed as an attractive tool in SARS-CoV-2 vaccine development, both as (1) a vaccine candidate with high immunogenicity and low reactogenicity and (2) a substitute for live virus in functional and neutralization assays. Though multiple SARS-CoV-2 VLP designs have already been explored in Sf9 insect cells, a key parameter ensuring VLPs are a viable platform is the VLP spike yield (i.e., spike protein content in VLP), which has largely been unreported. In this study, we show that the common strategy of producing SARS-CoV-2 VLPs by expressing spike protein in combination with the native coronavirus membrane and/or envelope protein forms VLPs, but at a critically low spike yield (~0.04-0.08 mg/L). In contrast, fusing the spike ectodomain to the influenza HA transmembrane domain and cytoplasmic tail and co-expressing M1 increased VLP spike yield to ~0.4 mg/L. More importantly, this increased yield translated to a greater VLP spike antigen density (~96 spike monomers/VLP) that more closely resembles that of native SARS-CoV-2 virus (~72-144 Spike monomers/virion). Pseudotyping further allowed for production of functional alpha (B.1.1.7), beta (B.1.351), delta (B.1.617.2), and omicron (B.1.1.529) SARS-CoV-2 VLPs that bound to the target ACE2 receptor. Finally, we demonstrated the utility of pseudotyped VLPs to test neutralizing antibody activity using a simple, acellular ELISA-based assay performed at biosafety level 1 (BSL-1). Taken together, this study highlights the advantage of pseudotyping over native SARS-CoV-2 VLP designs in achieving higher VLP spike yield and demonstrates the usefulness of pseudotyped VLPs as a surrogate for live virus in vaccine and therapeutic development against SARS-CoV-2 variants.
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Affiliation(s)
| | | | | | | | | | - Fei Wen
- Department of Chemical Engineering, University of Michigan, Ann Arbor, MI 48109, USA (P.P.)
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93
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Bloom JD, Neher RA. Fitness effects of mutations to SARS-CoV-2 proteins. Virus Evol 2023; 9:vead055. [PMID: 37727875 PMCID: PMC10506532 DOI: 10.1093/ve/vead055] [Citation(s) in RCA: 39] [Impact Index Per Article: 19.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 08/08/2023] [Accepted: 08/22/2023] [Indexed: 09/21/2023] Open
Abstract
Knowledge of the fitness effects of mutations to SARS-CoV-2 can inform assessment of new variants, design of therapeutics resistant to escape, and understanding of the functions of viral proteins. However, experimentally measuring effects of mutations is challenging: we lack tractable lab assays for many SARS-CoV-2 proteins, and comprehensive deep mutational scanning has been applied to only two SARS-CoV-2 proteins. Here, we develop an approach that leverages millions of publicly available SARS-CoV-2 sequences to estimate effects of mutations. We first calculate how many independent occurrences of each mutation are expected to be observed along the SARS-CoV-2 phylogeny in the absence of selection. We then compare these expected observations to the actual observations to estimate the effect of each mutation. These estimates correlate well with deep mutational scanning measurements. For most genes, synonymous mutations are nearly neutral, stop-codon mutations are deleterious, and amino acid mutations have a range of effects. However, some viral accessory proteins are under little to no selection. We provide interactive visualizations of effects of mutations to all SARS-CoV-2 proteins (https://jbloomlab.github.io/SARS2-mut-fitness/). The framework we describe is applicable to any virus for which the number of available sequences is sufficiently large that many independent occurrences of each neutral mutation are observed.
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Affiliation(s)
- Jesse D Bloom
- Basic Sciences and Computational Biology, Fred Hutchinson Cancer Center, 1100 Fairview Ave N, Seattle, WA 98109, USA
- Department of Genome Sciences, University of Washington, 3720 15th Ave NE, Seattle, WA 98195, USA
- Howard Hughes Medical Institute, 1100 Fairview Ave N, Seattle, WA 98109, USA
| | - Richard A Neher
- Biozentrum, University of Basel, Spitalstrasse 41, Basel 4056, Switzerland
- Swiss Institute of Bioinformatics, Lausanne 1015, Switzerl
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94
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Ju X, Wang Z, Wang P, Ren W, Yu Y, Yu Y, Yuan B, Song J, Zhang X, Zhang Y, Xu C, Tian B, Shi Y, Zhang R, Ding Q. SARS-CoV-2 main protease cleaves MAGED2 to antagonize host antiviral defense. mBio 2023; 14:e0137323. [PMID: 37439567 PMCID: PMC10470497 DOI: 10.1128/mbio.01373-23] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Accepted: 06/02/2023] [Indexed: 07/14/2023] Open
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the agent causing the global pandemic of COVID-19. SARS-CoV-2 genome encodes a main protease (nsp5, also called Mpro) and a papain-like protease (nsp3, also called PLpro), which are responsible for processing viral polyproteins to assemble a functional replicase complex. In this study, we found that Mpro of SARS-CoV-2 can cleave human MAGED2 and other mammalian orthologs at Gln-263. Moreover, SARS-CoV and MERS-CoV Mpro can also cleave human MAGED2, suggesting MAGED2 cleavage by Mpro is an evolutionarily conserved mechanism of coronavirus infection in mammals. Intriguingly, Mpro from Beta variant cleaves MAGED2 more efficiently than wild type, but Omicron Mpro is opposite. Further studies show that MAGED2 inhibits SARS-CoV-2 infection at viral replication step. Mechanistically, MAGED2 is associated with SARS-CoV-2 nucleocapsid protein through its N-terminal region in an RNA-dependent manner, and this disrupts the interaction between SARS-CoV-2 nucleocapsid protein and viral genome, thus inhibiting viral replication. When MAGED2 is cleaved by Mpro, the N-terminal of MAGED2 will translocate into the nucleus, and the truncated MAGED2 is unable to suppress SARS-CoV-2 replication. This work not only discovers the antiviral function of MAGED2 but also provides new insights into how SARS-CoV-2 Mpro antagonizes host antiviral response. IMPORTANCE Host factors that restrict severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection remain elusive. Here, we found that MAGED2 can be cleaved by SARS-CoV-2 main protease (Mpro) at Gln-263. SARS-CoV and MERS-CoV Mpro can also cleave MAGED2, and MAGED2 from multiple species can be cleaved by SARS-CoV-2 Mpro. Mpro from Beta variant cleaves MAGED2 more efficiently efficiently than wild type, but Omicron is the opposite. MAGED2 depletion enhances SARS-CoV-2 infection, suggesting its inhibitory role in SARS-CoV-2 infection. Mechanistically, MAGED2 restricts SARS-CoV-2 replication by disrupting the interaction between nucleocapsid and viral genomes. When MAGED2 is cleaved, its N-terminal will translocate into the nucleus. In this way, Mpro relieves MAGED2' inhibition on viral replication. This study improves our understanding of complex viral-host interaction and provides novel targets to treat SARS-CoV-2 infection.
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Affiliation(s)
- Xiaohui Ju
- School of Medicine, Tsinghua University, Beijing, China
| | - Ziqiao Wang
- Key Laboratory of Medical Molecular Virology (MOE/NHC/CAMS), School of Basic Medical Sciences, Shanghai Medical College, Biosafety Level 3 Laboratory, Fudan University, Shanghai, China
| | - Pengcheng Wang
- Key Laboratory of Medical Molecular Virology (MOE/NHC/CAMS), School of Basic Medical Sciences, Shanghai Medical College, Biosafety Level 3 Laboratory, Fudan University, Shanghai, China
| | - Wenlin Ren
- School of Medicine, Tsinghua University, Beijing, China
| | - Yanying Yu
- School of Medicine, Tsinghua University, Beijing, China
| | - Yin Yu
- Key Laboratory of Medical Molecular Virology (MOE/NHC/CAMS), School of Basic Medical Sciences, Shanghai Medical College, Biosafety Level 3 Laboratory, Fudan University, Shanghai, China
| | - Bin Yuan
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Jingwei Song
- School of Medicine, Tsinghua University, Beijing, China
| | - Xiaochun Zhang
- School of Pharmaceutical Sciences, Tsinghua University, Beijing, China
| | - Yu Zhang
- School of Medicine, Tsinghua University, Beijing, China
| | - Chang Xu
- School of Medicine, Tsinghua University, Beijing, China
| | - Boxue Tian
- School of Pharmaceutical Sciences, Tsinghua University, Beijing, China
| | - Yi Shi
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Rong Zhang
- Key Laboratory of Medical Molecular Virology (MOE/NHC/CAMS), School of Basic Medical Sciences, Shanghai Medical College, Biosafety Level 3 Laboratory, Fudan University, Shanghai, China
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95
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Feng S, O'Brien A, Chen DY, Saeed M, Baker SC. SARS-CoV-2 nonstructural protein 6 from Alpha to Omicron: evolution of a transmembrane protein. mBio 2023; 14:e0068823. [PMID: 37477426 PMCID: PMC10470488 DOI: 10.1128/mbio.00688-23] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Accepted: 06/10/2023] [Indexed: 07/22/2023] Open
Abstract
We recently reported that mutations in both the spike glycoprotein and nonstructural protein 6 (nsp6) were associated with attenuation of the SARS-CoV-2 Omicron BA.1 variant. While mutations in spike allow evasion of neutralizing antibodies and promote specific modes of viral entry, the role of nsp6 mutations in pathogenesis is less clear. Nsp6 is essential for modifying the endoplasmic reticulum and generating double-membrane vesicles, the site of viral RNA replication. To investigate the evolution of nsp6, we evaluated 91,596 high-confidence human SARS-CoV-2 whole-genome sequences across 19 variants and lineages. While nsp6 of early variants of concern, such as Alpha, Beta, and Gamma, carried a triple amino acid deletion (106-108, termed ΔSGF), the Delta, Epsilon, and Mu lineages retained the ancestral nsp6 sequence. For nsp6 in the emerging Omicron variants, we report a transition from an amino acid 105-107 ΔLSG deletion in BA.1 to increased dominance of the ΔSGF in BA.2 and subsequent lineages. Our findings indicate that deletion within nsp6 was independently selected in multiple lineages of SARS-CoV-2, both early and late in the pandemic. Analysis of SARS-CoV-2-related coronaviruses in bats and pangolins revealed nsp6 sequences similar to the ancestral SARS-CoV-2 virus, indicating that the deletion in nsp6 may be an adaptation to replication in humans. Analysis of nsp6 sequences from multiple coronaviruses predicts a multipass transmembrane protein with a conserved C-terminal domain. Monitoring and evaluating changes in nsp6 and other nonstructural proteins will contribute to our understanding of factors associated with the attenuation of pandemic coronaviruses. IMPORTANCE There is an ongoing need to evaluate genetic changes in SARS-CoV-2 for effects on transmission and pathogenesis. We recently reported an unexpected role for replicase component nsp6, in addition to changes in spike, in the attenuation of Omicron BA.1. In this commentary, we document a triple-amino-acid deletion in a predicted lumenal domain of nsp6 that was found in multiple, independent variants of SARS-CoV-2, including all recent Omicron lineages. Furthermore, we modeled the predicted structure of nsp6, implicating a multipass transmembrane architecture as conserved in members of the Coronaviridae family. This information can guide future studies investigating the role of nsp6 in the pathogenesis of existing and emerging coronaviruses.
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Affiliation(s)
- Shuchen Feng
- Department of Microbiology and Immunology, Stritch School of Medicine, Loyola University Chicago, Chicago, Illinois, USA
| | - Amornrat O'Brien
- Department of Microbiology and Immunology, Stritch School of Medicine, Loyola University Chicago, Chicago, Illinois, USA
| | - Da-Yuan Chen
- Department of Biochemistry and Cell Biology, Boston University Chobanian and Avedisian School of Medicine, Boston, Massachusetts, USA
- National Emerging Infectious Diseases Laboratories (NEIDL), Boston, Massachusetts, USA
| | - Mohsan Saeed
- Department of Biochemistry and Cell Biology, Boston University Chobanian and Avedisian School of Medicine, Boston, Massachusetts, USA
- National Emerging Infectious Diseases Laboratories (NEIDL), Boston, Massachusetts, USA
| | - Susan C. Baker
- Department of Microbiology and Immunology, Stritch School of Medicine, Loyola University Chicago, Chicago, Illinois, USA
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96
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Qing E, Gallagher T. Adaptive variations in SARS-CoV-2 spike proteins: effects on distinct virus-cell entry stages. mBio 2023; 14:e0017123. [PMID: 37382441 PMCID: PMC10470846 DOI: 10.1128/mbio.00171-23] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Accepted: 05/14/2023] [Indexed: 06/30/2023] Open
Abstract
Evolved SARS-CoV-2 variants of concern (VOCs) spread through human populations in succession. Major virus variations are in the entry-facilitating viral spike (S) proteins; Omicron VOCs have 29-40 S mutations relative to ancestral D614G viruses. The impacts of this Omicron divergence on S protein structure, antigenicity, cell entry pathways, and pathogenicity have been extensively evaluated, yet gaps remain in correlating specific alterations with S protein functions. In this study, we compared the functions of ancestral D614G and Omicron VOCs using cell-free assays that can reveal differences in several distinct steps of the S-directed virus entry process. Relative to ancestral D614G, Omicron BA.1 S proteins were hypersensitized to receptor activation, to conversion into intermediate conformational states, and to membrane fusion-activating proteases. We identified mutations conferring these changes in S protein character by evaluating domain-exchanged D614G/Omicron recombinants in the cell-free assays. Each of the three functional alterations was mapped to specific S protein domains, with the recombinants providing insights on inter-domain interactions that fine-tune S-directed virus entry. Our results provide a structure-function atlas of the S protein variations that may promote the transmissibility and infectivity of current and future SARS-CoV-2 VOCs. IMPORTANCE Continuous SARS-CoV-2 adaptations generate increasingly transmissible variants. These succeeding variants show ever-increasing evasion of suppressive antibodies and host factors, as well as increasing invasion of susceptible host cells. Here, we evaluated the adaptations enhancing invasion. We used reductionist cell-free assays to compare the entry steps of ancestral (D614G) and Omicron (BA.1) variants. Relative to D614G, Omicron entry was distinguished by heightened responsiveness to entry-facilitating receptors and proteases and by enhanced formation of intermediate states that execute virus-cell membrane fusion. We found that these Omicron-specific characteristics arose from mutations in specific S protein domains and subdomains. The results reveal the inter-domain networks controlling S protein dynamics and efficiencies of entry steps, and they offer insights on the evolution of SARS-CoV-2 variants that arise and ultimately dominate infections worldwide.
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Affiliation(s)
- Enya Qing
- Department of Microbiology and Immunology, Loyola University Chicago, Maywood, Illinois, USA
| | - Tom Gallagher
- Department of Microbiology and Immunology, Loyola University Chicago, Maywood, Illinois, USA
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97
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Liu H, Liu D. Development of novel SARS-CoV-2 viral vectors. Sci Rep 2023; 13:13053. [PMID: 37567900 PMCID: PMC10421939 DOI: 10.1038/s41598-023-40370-8] [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: 03/19/2023] [Accepted: 08/09/2023] [Indexed: 08/13/2023] Open
Abstract
The authentic SARS-CoV-2 requires to be handled in Biosafety Level 3 laboratories, which restrains investigation by the broader scientific community. Here, we report the development of a novel SARS-CoV-2 viral vector composed of all 4 SARS-CoV-2 structural proteins, the packaging signal sequence of SARS-CoV-2, a reporter gene, and an RNA amplification component of Venezuelan equine encephalitis virus (VEEV). This VEE-SARS-CoV-2 viral vector transduces target cells in an ACE2-dependent manner, and all 4 structural proteins of SARS-CoV-2 are indispensable for its transduction activity. Comparative studies show that the incorporation of the VEEV self-amplification mechanism increases the gene expression level by ~ 65-fold and extends the transgene expression up to 11 days in transduced cells. Additionally, we demonstrated the significant applications of this new VEE-SARS-CoV-2 vector for neutralizing antibody quantification and antiviral drug testing. The VEE-SARS-CoV-2 vectors developed will be an important and versatile tool for investigating SARS-CoV-2 molecular virology, developing antiviral agents targeting receptor binding, and studying RNA genome packaging and function of the essential but not well studied structural proteins of SARS-CoV-2.
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Affiliation(s)
- Huan Liu
- Department of Pharmaceutical and Biomedical Sciences, College of Pharmacy, University of Georgia, 250 West Green Street, Athens, GA, 30602, USA
| | - Dexi Liu
- Department of Pharmaceutical and Biomedical Sciences, College of Pharmacy, University of Georgia, 250 West Green Street, Athens, GA, 30602, USA.
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98
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Li P, Xue B, Schnicker NJ, Wong LYR, Meyerholz DK, Perlman S. Nsp3-N interactions are critical for SARS-CoV-2 fitness and virulence. Proc Natl Acad Sci U S A 2023; 120:e2305674120. [PMID: 37487098 PMCID: PMC10400999 DOI: 10.1073/pnas.2305674120] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Accepted: 06/22/2023] [Indexed: 07/26/2023] Open
Abstract
SARS-CoV-2, the causative agent of COVID-19 encodes at least 16 nonstructural proteins of variably understood function. Nsp3, the largest nonstructural protein contains several domains, including a SARS-unique domain (SUD), which occurs only in Sarbecovirus. The SUD has a role in preferentially enhancing viral translation. During isolation of mouse-adapted SARS-CoV-2, we isolated an attenuated virus that contained a single mutation in a linker region of nsp3 (nsp3-S676T). The S676T mutation decreased virus replication in cultured cells and primary human cells and in mice. Nsp3-S676T alleviated the SUD translational enhancing ability by decreasing the interaction between two translation factors, Paip1 and PABP1. We also identified a compensatory mutation in the nucleocapsid (N) protein (N-S194L) that restored the virulent phenotype, without directly binding to SUD. Together, these results reveal an aspect of nsp3-N interactions, which impact both SARS-CoV-2 replication and, consequently, pathogenesis.
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Affiliation(s)
- Pengfei Li
- Department of Microbiology and Immunology, University of Iowa, Iowa City, IA 52242
| | - Biyun Xue
- Department of Pediatrics, University of Iowa, Iowa City, IA 52242
| | | | - Lok-Yin Roy Wong
- Department of Microbiology and Immunology, University of Iowa, Iowa City, IA 52242
| | | | - Stanley Perlman
- Department of Microbiology and Immunology, University of Iowa, Iowa City, IA 52242
- Department of Pediatrics, University of Iowa, Iowa City, IA 52242
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99
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Taha TY, Suryawanshi RK, Chen IP, Correy GJ, McCavitt-Malvido M, O’Leary PC, Jogalekar MP, Diolaiti ME, Kimmerly GR, Tsou CL, Gascon R, Montano M, Martinez-Sobrido L, Krogan NJ, Ashworth A, Fraser JS, Ott M. A single inactivating amino acid change in the SARS-CoV-2 NSP3 Mac1 domain attenuates viral replication in vivo. PLoS Pathog 2023; 19:e1011614. [PMID: 37651466 PMCID: PMC10499221 DOI: 10.1371/journal.ppat.1011614] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Revised: 09/13/2023] [Accepted: 08/16/2023] [Indexed: 09/02/2023] Open
Abstract
Despite unprecedented efforts, our therapeutic arsenal against SARS-CoV-2 remains limited. The conserved macrodomain 1 (Mac1) in NSP3 is an enzyme exhibiting ADP-ribosylhydrolase activity and a possible drug target. To determine the role of Mac1 catalytic activity in viral replication, we generated recombinant viruses and replicons encoding a catalytically inactive NSP3 Mac1 domain by mutating a critical asparagine in the active site. While substitution to alanine (N40A) reduced catalytic activity by ~10-fold, mutations to aspartic acid (N40D) reduced activity by ~100-fold relative to wild-type. Importantly, the N40A mutation rendered Mac1 unstable in vitro and lowered expression levels in bacterial and mammalian cells. When incorporated into SARS-CoV-2 molecular clones, the N40D mutant only modestly affected viral fitness in immortalized cell lines, but reduced viral replication in human airway organoids by 10-fold. In mice, the N40D mutant replicated at >1000-fold lower levels compared to the wild-type virus while inducing a robust interferon response; all animals infected with the mutant virus survived infection. Our data validate the critical role of SARS-CoV-2 NSP3 Mac1 catalytic activity in viral replication and as a promising therapeutic target to develop antivirals.
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Affiliation(s)
- Taha Y. Taha
- Gladstone Institute of Virology, Gladstone Institutes, San Francisco, California, United States of America
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, California, United States of America
| | - Rahul K. Suryawanshi
- Gladstone Institute of Virology, Gladstone Institutes, San Francisco, California, United States of America
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, California, United States of America
| | - Irene P. Chen
- Gladstone Institute of Virology, Gladstone Institutes, San Francisco, California, United States of America
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, California, United States of America
- Department of Medicine, University of California, San Francisco, California, United States of America
| | - Galen J. Correy
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, California, United States of America
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, California, United States of America
| | - Maria McCavitt-Malvido
- Gladstone Institute of Virology, Gladstone Institutes, San Francisco, California, United States of America
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, California, United States of America
| | - Patrick C. O’Leary
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, California, United States of America
- UCSF Helen Diller Family Comprehensive Cancer Center, San Francisco, California, United States of America
| | - Manasi P. Jogalekar
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, California, United States of America
- UCSF Helen Diller Family Comprehensive Cancer Center, San Francisco, California, United States of America
| | - Morgan E. Diolaiti
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, California, United States of America
- UCSF Helen Diller Family Comprehensive Cancer Center, San Francisco, California, United States of America
| | - Gabriella R. Kimmerly
- Gladstone Institute of Virology, Gladstone Institutes, San Francisco, California, United States of America
| | - Chia-Lin Tsou
- Gladstone Institute of Virology, Gladstone Institutes, San Francisco, California, United States of America
| | - Ronnie Gascon
- Gladstone Institute of Virology, Gladstone Institutes, San Francisco, California, United States of America
| | - Mauricio Montano
- Gladstone Institute of Virology, Gladstone Institutes, San Francisco, California, United States of America
| | - Luis Martinez-Sobrido
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, California, United States of America
- Texas Biomedical Research Institute, San Antonio, Texas, United States of America
| | - Nevan J. Krogan
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, California, United States of America
- Gladstone Institute of Data Science and Biotechnology, Gladstone Institutes, San Francisco, California, United States of America
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, California, United States of America
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, California, United States of America
| | - Alan Ashworth
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, California, United States of America
- UCSF Helen Diller Family Comprehensive Cancer Center, San Francisco, California, United States of America
| | - James S. Fraser
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, California, United States of America
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, California, United States of America
| | - Melanie Ott
- Gladstone Institute of Virology, Gladstone Institutes, San Francisco, California, United States of America
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, California, United States of America
- Department of Medicine, University of California, San Francisco, California, United States of America
- Chan Zuckerberg Biohub–San Francisco, San Francisco, California, United States of America
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100
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Skittrall JP, Irigoyen N, Brierley I, Gog JR. A novel approach to finding conserved features in low-variability gene alignments characterises RNA motifs in SARS-CoV and SARS-CoV-2. Sci Rep 2023; 13:12079. [PMID: 37495730 PMCID: PMC10372003 DOI: 10.1038/s41598-023-39207-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Accepted: 07/21/2023] [Indexed: 07/28/2023] Open
Abstract
Collections of genetic sequences belonging to related organisms contain information on the evolutionary constraints to which the organisms have been subjected. Heavily constrained regions can be investigated to understand their roles in an organism's life cycle, and drugs can be sought to disrupt these roles. In organisms with low genetic diversity, such as newly-emerged pathogens, it is key to obtain this information early to develop new treatments. Here, we present methods that ensure we can leverage all the information available in a low-signal, low-noise set of sequences, to find contiguous regions of relatively conserved nucleic acid. We demonstrate the application of these methods by analysing over 5 million genome sequences of the recently-emerged RNA virus SARS-CoV-2 and correlating these results with an analysis of 119 genome sequences of SARS-CoV. We propose the precise location of a previously described packaging signal, and discuss explanations for other regions of high conservation.
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Affiliation(s)
- Jordan P Skittrall
- Department of Pathology, Division of Virology, Addenbrooke's Hospital, University of Cambridge, Hills Road, Cambridge, CB2 0QQ, UK.
| | - Nerea Irigoyen
- Department of Pathology, Division of Virology, Addenbrooke's Hospital, University of Cambridge, Hills Road, Cambridge, CB2 0QQ, UK
| | - Ian Brierley
- Department of Pathology, Division of Virology, Addenbrooke's Hospital, University of Cambridge, Hills Road, Cambridge, CB2 0QQ, UK
| | - Julia R Gog
- Department of Applied Mathematics and Theoretical Physics, Centre for Mathematical Sciences, University of Cambridge, Wilberforce Road, Cambridge, CB3 0WA, UK
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