1
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Liu L, Xu B, Chen L, Liu J, Liu W, Xue F, Feng S, Jiang E, Han M, Shao W, Zhang L, Pei X. An investigation of the immune epitopes of adeno-associated virus capsid-derived peptides among hemophilia patients. Mol Ther Methods Clin Dev 2024; 32:101245. [PMID: 38660620 PMCID: PMC11039395 DOI: 10.1016/j.omtm.2024.101245] [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: 05/25/2023] [Accepted: 03/29/2024] [Indexed: 04/26/2024]
Abstract
Adeno-associated virus (AAV) is an optimal gene vector for monogenic disorders. However, neutralizing antibodies (Nabs) against AAV hinder its widespread application in gene therapy. In this study, we biosynthesized peptides recognized by the binding antibodies (Babs) from the sera containing high Nab titers against AAV2. We established four immunological methods to detect immune epitopes of the AAV2-derived peptides, including a Bab assay, Nab assay, B cell receptor (BCR) detecting assay, and immunoglobin-producing B cell enzyme-linked immunosorbent spot (B cell ELISpot) assay. Correlations among the epitopes determined by these four methods were analyzed using the serum samples and peripheral blood mononuclear cells (PBMC) from 89 patients with hemophilia A/B. As decoys, the peptides' ability to block the Nab of AAV2 particles was assessed using AAV transduction models both in vitro and in vivo. Overall, we provide insights into AAV2-capsid-derived peptide immune epitopes, involving the Nab, Bab, BCR, and B cell ELISpot assays, offering alternative immunological evaluation approaches and strategies to overcome Nab barriers in AAV-mediated gene therapy.
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Affiliation(s)
- Li Liu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, P.R. China
- Tianjin Institutes of Health Science, Tianjin 300020, P.R. China
| | - Bingqi Xu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, P.R. China
- Tianjin Institutes of Health Science, Tianjin 300020, P.R. China
| | - Lingling Chen
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, P.R. China
- Tianjin Institutes of Health Science, Tianjin 300020, P.R. China
| | - Jia Liu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, P.R. China
- Tianjin Institutes of Health Science, Tianjin 300020, P.R. China
| | - Wei Liu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, P.R. China
- Tianjin Institutes of Health Science, Tianjin 300020, P.R. China
| | - Feng Xue
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, P.R. China
- Tianjin Institutes of Health Science, Tianjin 300020, P.R. China
| | - Sizhou Feng
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, P.R. China
- Tianjin Institutes of Health Science, Tianjin 300020, P.R. China
| | - Erlie Jiang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, P.R. China
- Tianjin Institutes of Health Science, Tianjin 300020, P.R. China
| | - Mingzhe Han
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, P.R. China
- Tianjin Institutes of Health Science, Tianjin 300020, P.R. China
| | - Wenwei Shao
- Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, P.R. China
| | - Lei Zhang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, P.R. China
- Tianjin Institutes of Health Science, Tianjin 300020, P.R. China
| | - Xiaolei Pei
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, P.R. China
- Tianjin Institutes of Health Science, Tianjin 300020, P.R. China
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2
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Zhu X, Ma E, Ning K, Feng X, Quan W, Wang F, Zhu C, Ma Y, Dong Y, Jiang Q. A comparative analysis of TCR immune repertoire in COVID-19 patients. Hum Immunol 2024; 85:110795. [PMID: 38582657 DOI: 10.1016/j.humimm.2024.110795] [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: 07/26/2023] [Revised: 03/22/2024] [Accepted: 03/25/2024] [Indexed: 04/08/2024]
Abstract
The coronavirus disease 2019 (COVID-19) has merged as a global health threat since its outbreak in December 2019. Despite widespread recognition, there has been a paucity of studies focusing on the T cell receptor (TCR) bias in adaptive immunity induced by SARS-CoV-2. This research conducted a comparative analysis of the TCR immune repertoire to identify notable αβ TCR bias sequences associated with the SARS-CoV-2 virus antigen. The present study encompassed 73 symptomatic COVID-19 patients, categorized as moderate/mild or severe/critical, along with 9 healthy controls. Our findings revealed specific TCR chains prominently utilized by moderate and severe patients, identified as TRAV30-J34-TRBV3-1-J2-7 and TRAV12-3-J6-TRBV28-J1-1, respectively. Additionally, our research explored critical TCR preferences in the bronchoalveolar lavage fluid (BALF) of COVID-19 patients at various disease stages. Indeed, monitoring the dynamics of immune repertoire changes in COVID-19 patients could serve as a crucial biomarker for predicting disease progression and recovery. Furthermore, the study explored TCR bias in both peripheral blood mononuclear cells (PBMCs) and BALF. The most common αβ VJ pair observed in BALF was TRAV12-3-J18-TRBV7-6-J2-7. In addition, a comparative analysis with the VDJdb database indicated that the HLA-A*02:01 allele exhibited the widest distribution and highest frequency in COVID-19 patients across different periods. This comprehensive examination provided a global characterization of the TCR immune repertoire in COVID-19 patients, contributing significantly to our understanding of TCR bias induced by SARS-CoV-2.
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MESH Headings
- Humans
- COVID-19/immunology
- SARS-CoV-2/immunology
- Male
- Female
- Middle Aged
- Receptors, Antigen, T-Cell, alpha-beta/genetics
- Receptors, Antigen, T-Cell, alpha-beta/immunology
- Receptors, Antigen, T-Cell, alpha-beta/metabolism
- Adult
- Bronchoalveolar Lavage Fluid/immunology
- Aged
- Receptors, Antigen, T-Cell/immunology
- Receptors, Antigen, T-Cell/genetics
- Receptors, Antigen, T-Cell/metabolism
- Adaptive Immunity/immunology
- Severity of Illness Index
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Affiliation(s)
- Xiao Zhu
- School of Computer and Control Engineering, Yantai University, Yantai, Shandong, China; Lead Contact.
| | - Enze Ma
- School of Computer Science and Information Engineering, Harbin Normal University, Harbin, Heilongjiang, China
| | - Ke Ning
- School of Computer Science and Information Engineering, Harbin Normal University, Harbin, Heilongjiang, China
| | - Xiangyan Feng
- Department of Hematology, Yantai Yuhuangding Hospital Affiliated to Qingdao University, Yantai, Shandong, China.
| | - Wei Quan
- School of Computer and Control Engineering, Yantai University, Yantai, Shandong, China
| | - Fei Wang
- School of Computer and Control Engineering, Yantai University, Yantai, Shandong, China
| | - Chaoqun Zhu
- School of Computer and Control Engineering, Yantai University, Yantai, Shandong, China
| | - Yuanjun Ma
- School of Computer and Control Engineering, Yantai University, Yantai, Shandong, China
| | - Yucui Dong
- Department of Immunology, Binzhou Medical University, Yantai, Shandong, China
| | - Qinghua Jiang
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, Heilongjiang, China.
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3
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Zhang Y, Fu Z, Zhang H, Lin K, Song J, Guo J, Zhang Q, Yuan G, Wang H, Fan M, Zhao Y, Sun R, Guo T, Jiang N, Qiu C, Zhang W, Ai J. Proteomic and Cellular Characterization of Omicron Breakthrough Infections and a Third Homologous or Heterologous Boosting Vaccination in a Longitudinal Cohort. Mol Cell Proteomics 2024; 23:100769. [PMID: 38641227 PMCID: PMC11154224 DOI: 10.1016/j.mcpro.2024.100769] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 01/18/2024] [Accepted: 03/23/2024] [Indexed: 04/21/2024] Open
Abstract
The understanding of dynamic plasma proteome features in hybrid immunity and breakthrough infection is limited. A deeper understanding of the immune differences between heterologous and homologous immunization could assist in the future establishment of vaccination strategies. In this study, 40 participants who received a third dose of either a homologous BBIBP-CorV or a heterologous ZF2001 protein subunit vaccine following two doses of inactivated coronavirus disease 2019 vaccines and 12 patients with BA2.2 breakthrough infections were enrolled. Serum samples were collected at days 0, 28, and 180 following the boosting vaccination and breakthrough and then analyzed using neutralizing antibody tests and mass spectrometer-based proteomics. Mass cytometry of peripheral blood mononuclear cell samples was also performed in this cohort. The chemokine signaling pathway and humoral response markers (IgG2 and IgG3) associated with infection were found to be upregulated in breakthrough infections compared to vaccination-induced immunity. Elevated expression of IGKV, IGHV, IL-17 signaling, and the phagocytosis pathway, along with lower expression of FGL2, were correlated with higher antibody levels in the boosting vaccination groups. The MAPK signaling pathway and Fc gamma R-mediated phagocytosis were more enriched in the heterologous immunization groups than in the homologous immunization groups. Breakthrough infections can trigger more intensive inflammatory chemokine responses than vaccination. T-cell and innate immune activation have been shown to be closely related to enhanced antibody levels after vaccination and therefore might be potential targets for vaccine adjuvant design.
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Affiliation(s)
- Yi Zhang
- Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Zhangfan Fu
- Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Haocheng Zhang
- Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Ke Lin
- Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Jieyu Song
- Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Jingxin Guo
- Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Qiran Zhang
- Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Guanmin Yuan
- Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Hongyu Wang
- Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Mingxiang Fan
- Tongji Medical School, Tongji University, Shanghai, China
| | - Yuanhan Zhao
- Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Rui Sun
- iMarker lab, Westlake Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang Province, China
| | - Tiannan Guo
- iMarker lab, Westlake Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang Province, China
| | - Ning Jiang
- Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Chao Qiu
- Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Wenhong Zhang
- Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China; National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China; Shanghai huashen institute of microbes and infections, Shanghai, China.
| | - Jingwen Ai
- Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
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4
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Xiao J, Luo Y, Li Y, Yao X. The characteristics of BCR-CDR3 repertoire in COVID-19 patients and SARS-CoV-2 vaccinated volunteers. J Med Virol 2024; 96:e29488. [PMID: 38415507 DOI: 10.1002/jmv.29488] [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: 11/04/2023] [Revised: 02/02/2024] [Accepted: 02/13/2024] [Indexed: 02/29/2024]
Abstract
The global COVID-19 pandemic has caused more than 1 billion infections, and numerous SARS-CoV-2 vaccines developed rapidly have been administered over 10 billion doses. The world is continuously concerned about the cytokine storms induced by the interaction between SARS-CoV-2 and host, long COVID, breakthrough infections postvaccination, and the impact of SARS-CoV-2 variants. BCR-CDR3 repertoire serves as a molecular target for monitoring the antiviral response "trace" of B cells, evaluating the effects, mechanisms, and memory abilities of individual responses to B cells, and has been successfully applied in analyzing the infection mechanisms, vaccine improvement, and neutralizing antibodies preparation of influenza virus, HIV, MERS, and Ebola virus. Based on research on BCR-CDR3 repertoire of COVID-19 patients and volunteers who received different SARS-CoV-2 vaccines in multiple laboratories worldwide, we focus on analyzing the characteristics and changes of BCR-CDR3 repertoire, such as diversity, clonality, V&J genes usage and pairing, SHM, CSR, shared CDR3 clones, as well as the summary on BCR sequences targeting virus-specific epitopes in the preparation and application research of SARS-CoV-2 potential therapeutic monoclonal antibodies. This review provides comparative data and new research schemes for studying the possible mechanisms of differences in B cell response between SARS-CoV-2 infection or vaccination, and supplies a foundation for improving vaccines after SARS-CoV-2 mutations and potential antibody therapy for infected individuals.
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Affiliation(s)
- Jiaping Xiao
- Department of Immunology, Center of Immunomolecular Engineering, Innovation & Practice Base for Graduate Students Education, Zunyi Medical University, Zunyi, Guizhou, China
- Fushun People's Hospital, Zigong, Sichuan, China
| | - Yan Luo
- Department of Immunology, Center of Immunomolecular Engineering, Innovation & Practice Base for Graduate Students Education, Zunyi Medical University, Zunyi, Guizhou, China
| | - Yangyang Li
- Department of Immunology, Center of Immunomolecular Engineering, Innovation & Practice Base for Graduate Students Education, Zunyi Medical University, Zunyi, Guizhou, China
| | - Xinsheng Yao
- Department of Immunology, Center of Immunomolecular Engineering, Innovation & Practice Base for Graduate Students Education, Zunyi Medical University, Zunyi, Guizhou, China
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5
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Lu J, Chen Y, Zhou K, Ling Y, Qin Q, Lu W, Qin L, Mou C, Zhang J, Zheng X, Qin K. Immune characteristics of kidney transplant recipients with acute respiratory distress syndrome induced by COVID-19 at single-cell resolution. Respir Res 2024; 25:34. [PMID: 38238762 PMCID: PMC10795319 DOI: 10.1186/s12931-024-02682-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Accepted: 01/04/2024] [Indexed: 01/22/2024] Open
Abstract
BACKGROUND COVID-19-induced acute respiratory distress syndrome (ARDS) can result in tissue damage and multiple organ dysfunction, especially in kidney transplant recipients (KTRs) receiving immunosuppressive drugs. Presently, single-cell research on COVID-19-induced ARDS is considerably advanced, yet knowledge about ARDS in KTRs is still constrained. METHODS Single-cell RNA sequencing (scRNA-seq) analysis was performed to construct a comprehensive single-cell immune landscape of the peripheral blood mononuclear cells (PBMCs) of eight patients with COVID-19-induced ARDS, five KTRs with COVID-19-induced ARDS, and five healthy individuals. Subsequently, we conducted a comprehensive bioinformatics analysis, including cell clustering, enrichment analysis, trajectory analysis, gene regulatory network analysis, and cell-cell interaction analysis, to investigate the heterogeneity of the immune microenvironment in KTRs with ARDS. RESULT Our study revealed that KTRs exhibit significant heterogeneity with COVID-19-induced ARDS compared with those of other individuals, with significant reductions in T cells, as well as an abnormal proliferation of B cells and monocytes. In the context of dual influences from immunosuppression and viral infection, KTRs exhibited more specific plasma cells, along with significant enrichment of dysfunctional GZMB and XAF1 double-positive effector T cells and IFI27-positive monocytes. Additionally, robust communication existed among T cells and monocytes in cytokine signaling. These effects impede the process of immune reconstitution in KTR patients. CONCLUSION Our findings suggest that KTRs with COVID-19-induced ARDS show elevated antibody levels, impaired T cell differentiation, and dysregulation of innate immunity. In summary, this study provides a theoretical foundation for a comprehensive understanding of COVID-19-induced ARDS in KTRs.
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Affiliation(s)
- Junyu Lu
- Intensive Care Unit, The Second Affiliated Hospital of Guangxi Medical University, Nanning, 530007, China.
- Guangxi Health Commission Key Laboratory of Emergency and Critical Medicine, Nanning, 530007, China.
| | - Yin Chen
- Intensive Care Unit, The Second Affiliated Hospital of Guangxi Medical University, Nanning, 530007, China
| | - Kaihuan Zhou
- Intensive Care Unit, The Second Affiliated Hospital of Guangxi Medical University, Nanning, 530007, China
| | - Yicong Ling
- Intensive Care Unit, The Second Affiliated Hospital of Guangxi Medical University, Nanning, 530007, China
| | - Qianqian Qin
- Intensive Care Unit, The Second Affiliated Hospital of Guangxi Medical University, Nanning, 530007, China
| | - Weisheng Lu
- Intensive Care Unit, The Second Affiliated Hospital of Guangxi Medical University, Nanning, 530007, China
| | - Lian Qin
- Intensive Care Unit, The Second Affiliated Hospital of Guangxi Medical University, Nanning, 530007, China
| | - Chenglin Mou
- Intensive Care Unit, The Second Affiliated Hospital of Guangxi Medical University, Nanning, 530007, China
| | - Jianfeng Zhang
- Department of Emergency Medicine, The Second Affiliated Hospital of Guangxi Medical University, Nanning, 530007, China
- Guangxi Health Commission Key Laboratory of Emergency and Critical Medicine, Nanning, 530007, China
| | - Xiaowen Zheng
- Department of Emergency Medicine, The Second Affiliated Hospital of Guangxi Medical University, Nanning, 530007, China.
- Guangxi Health Commission Key Laboratory of Emergency and Critical Medicine, Nanning, 530007, China.
| | - Ke Qin
- Department of Anesthesiology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, 530007, Guangxi, China.
- Department of Anesthesiology, Guilin People's Hospital, Guilin, 541002, China.
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6
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Guerra D, Beaumont T, Radić L, Kerster G, van der Straten K, Yuan M, Torres JL, Lee WH, Liu H, Poniman M, Bontjer I, Burger JA, Claireaux M, Caniels TG, Snitselaar JL, Bijl TP, Kruijer S, Ozorowski G, Gideonse D, Sliepen K, Ward AB, Eggink D, de Bree GJ, Wilson IA, Sanders RW, van Gils MJ. Broad SARS-CoV-2 neutralization by monoclonal and bispecific antibodies derived from a Gamma-infected individual. iScience 2023; 26:108009. [PMID: 37841584 PMCID: PMC10570122 DOI: 10.1016/j.isci.2023.108009] [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: 02/08/2023] [Revised: 07/10/2023] [Accepted: 09/18/2023] [Indexed: 10/17/2023] Open
Abstract
The pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has remained a medical threat due to the evolution of multiple variants that acquire resistance to vaccines and prior infection. Therefore, it is imperative to discover monoclonal antibodies (mAbs) that neutralize a broad range of SARS-CoV-2 variants. A stabilized spike glycoprotein was used to enrich antigen-specific B cells from an individual with a primary Gamma variant infection. Five mAbs selected from those B cells showed considerable neutralizing potency against multiple variants, with COVA309-35 being the most potent against the autologous virus, as well as Omicron BA.1 and BA.2, and COVA309-22 having binding and neutralization activity against Omicron BA.4/5, BQ.1.1, and XBB.1. When combining the COVA309 mAbs as cocktails or bispecific antibodies, the breadth and potency were improved. In addition, the mechanism of cross-neutralization of the COVA309 mAbs was elucidated by structural analysis. Altogether these data indicate that a Gamma-infected individual can develop broadly neutralizing antibodies.
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Affiliation(s)
- Denise Guerra
- Amsterdam UMC, location University of Amsterdam, Department of Medical Microbiology and Infection Prevention, Laboratory of Experimental Virology, Meibergdreef 9, Amsterdam 1105 AZ, the Netherlands
- Amsterdam Institute for Infection and Immunity, Infectious Diseases, Amsterdam, the Netherlands
| | - Tim Beaumont
- Amsterdam UMC, location University of Amsterdam, Department of Medical Microbiology and Infection Prevention, Laboratory of Experimental Virology, Meibergdreef 9, Amsterdam 1105 AZ, the Netherlands
- Amsterdam Institute for Infection and Immunity, Infectious Diseases, Amsterdam, the Netherlands
| | - Laura Radić
- Amsterdam UMC, location University of Amsterdam, Department of Medical Microbiology and Infection Prevention, Laboratory of Experimental Virology, Meibergdreef 9, Amsterdam 1105 AZ, the Netherlands
- Amsterdam Institute for Infection and Immunity, Infectious Diseases, Amsterdam, the Netherlands
| | - Gius Kerster
- Amsterdam UMC, location University of Amsterdam, Department of Medical Microbiology and Infection Prevention, Laboratory of Experimental Virology, Meibergdreef 9, Amsterdam 1105 AZ, the Netherlands
- Amsterdam Institute for Infection and Immunity, Infectious Diseases, Amsterdam, the Netherlands
| | - Karlijn van der Straten
- Amsterdam UMC, location University of Amsterdam, Department of Medical Microbiology and Infection Prevention, Laboratory of Experimental Virology, Meibergdreef 9, Amsterdam 1105 AZ, the Netherlands
- Amsterdam Institute for Infection and Immunity, Infectious Diseases, Amsterdam, the Netherlands
- Amsterdam UMC, location University of Amsterdam, Department of Internal Medicine, Meibergdreef 9, Amsterdam 1105 AZ, the Netherlands
| | - Meng Yuan
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Jonathan L. Torres
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Wen-Hsin Lee
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Hejun Liu
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Meliawati Poniman
- Amsterdam UMC, location University of Amsterdam, Department of Medical Microbiology and Infection Prevention, Laboratory of Experimental Virology, Meibergdreef 9, Amsterdam 1105 AZ, the Netherlands
- Amsterdam Institute for Infection and Immunity, Infectious Diseases, Amsterdam, the Netherlands
| | - Ilja Bontjer
- Amsterdam UMC, location University of Amsterdam, Department of Medical Microbiology and Infection Prevention, Laboratory of Experimental Virology, Meibergdreef 9, Amsterdam 1105 AZ, the Netherlands
- Amsterdam Institute for Infection and Immunity, Infectious Diseases, Amsterdam, the Netherlands
| | - Judith A. Burger
- Amsterdam UMC, location University of Amsterdam, Department of Medical Microbiology and Infection Prevention, Laboratory of Experimental Virology, Meibergdreef 9, Amsterdam 1105 AZ, the Netherlands
- Amsterdam Institute for Infection and Immunity, Infectious Diseases, Amsterdam, the Netherlands
| | - Mathieu Claireaux
- Amsterdam UMC, location University of Amsterdam, Department of Medical Microbiology and Infection Prevention, Laboratory of Experimental Virology, Meibergdreef 9, Amsterdam 1105 AZ, the Netherlands
- Amsterdam Institute for Infection and Immunity, Infectious Diseases, Amsterdam, the Netherlands
| | - Tom G. Caniels
- Amsterdam UMC, location University of Amsterdam, Department of Medical Microbiology and Infection Prevention, Laboratory of Experimental Virology, Meibergdreef 9, Amsterdam 1105 AZ, the Netherlands
- Amsterdam Institute for Infection and Immunity, Infectious Diseases, Amsterdam, the Netherlands
| | - Jonne L. Snitselaar
- Amsterdam UMC, location University of Amsterdam, Department of Medical Microbiology and Infection Prevention, Laboratory of Experimental Virology, Meibergdreef 9, Amsterdam 1105 AZ, the Netherlands
- Amsterdam Institute for Infection and Immunity, Infectious Diseases, Amsterdam, the Netherlands
| | - Tom P.L. Bijl
- Amsterdam UMC, location University of Amsterdam, Department of Medical Microbiology and Infection Prevention, Laboratory of Experimental Virology, Meibergdreef 9, Amsterdam 1105 AZ, the Netherlands
- Amsterdam Institute for Infection and Immunity, Infectious Diseases, Amsterdam, the Netherlands
| | - Sabine Kruijer
- Amsterdam UMC, location University of Amsterdam, Department of Medical Microbiology and Infection Prevention, Laboratory of Experimental Virology, Meibergdreef 9, Amsterdam 1105 AZ, the Netherlands
- Amsterdam Institute for Infection and Immunity, Infectious Diseases, Amsterdam, the Netherlands
| | - Gabriel Ozorowski
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - David Gideonse
- Center for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), 3721 MA Bilthoven, the Netherlands
| | - Kwinten Sliepen
- Amsterdam UMC, location University of Amsterdam, Department of Medical Microbiology and Infection Prevention, Laboratory of Experimental Virology, Meibergdreef 9, Amsterdam 1105 AZ, the Netherlands
- Amsterdam Institute for Infection and Immunity, Infectious Diseases, Amsterdam, the Netherlands
| | - Andrew B. Ward
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Dirk Eggink
- Amsterdam UMC, location University of Amsterdam, Department of Medical Microbiology and Infection Prevention, Laboratory of Experimental Virology, Meibergdreef 9, Amsterdam 1105 AZ, the Netherlands
- Amsterdam Institute for Infection and Immunity, Infectious Diseases, Amsterdam, the Netherlands
- Center for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), 3721 MA Bilthoven, the Netherlands
| | - Godelieve J. de Bree
- Amsterdam Institute for Infection and Immunity, Infectious Diseases, Amsterdam, the Netherlands
- Amsterdam UMC, location University of Amsterdam, Department of Internal Medicine, Meibergdreef 9, Amsterdam 1105 AZ, the Netherlands
| | - Ian A. Wilson
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
- The Skaggs Institute for Chemical Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Rogier W. Sanders
- Amsterdam UMC, location University of Amsterdam, Department of Medical Microbiology and Infection Prevention, Laboratory of Experimental Virology, Meibergdreef 9, Amsterdam 1105 AZ, the Netherlands
- Amsterdam Institute for Infection and Immunity, Infectious Diseases, Amsterdam, the Netherlands
- Department of Microbiology and Immunology, Weill Medical College of Cornell University, New York, NY, USA
| | - Marit J. van Gils
- Amsterdam UMC, location University of Amsterdam, Department of Medical Microbiology and Infection Prevention, Laboratory of Experimental Virology, Meibergdreef 9, Amsterdam 1105 AZ, the Netherlands
- Amsterdam Institute for Infection and Immunity, Infectious Diseases, Amsterdam, the Netherlands
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7
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Feng B, Zheng D, Yang L, Su Z, Tang L, Zhu Y, Xu X, Wang Q, Lin Q, Hu J, Lin M, Huang L, Zhou X, Liu H, Li S, Pan W, Shi R, Lu Y, Wu B, Ding B, Wang Z, Guo J, Zhang Z, Zheng G, Liu Y. Post-hospitalization rehabilitation alleviates long-term immune repertoire alteration in COVID-19 convalescent patients. Cell Prolif 2023; 56:e13450. [PMID: 36938980 PMCID: PMC10542649 DOI: 10.1111/cpr.13450] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Revised: 02/27/2023] [Accepted: 03/02/2023] [Indexed: 03/21/2023] Open
Abstract
The global pandemic of Coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is an once-in-a-lifetime public health crisis. Among hundreds of millions of people who have contracted with or are being infected with COVID-19, the question of whether COVID-19 infection may cause long-term health concern, even being completely recovered from the disease clinically, especially immune system damage, needs to be addressed. Here, we performed seven-chain adaptome immune repertoire analyses on convalescent COVID-19 patients who have been discharged from hospitals for at least 6 months. Surprisingly, we discovered lymphopenia, reduced number of unique CDR3s, and reduced diversity of the TCR/BCR immune repertoire in convalescent COVID-19 patients. In addition, the BCR repertoire appears to be activated, which is consistent with the protective antibody titres, but serological experiments reveal significantly lower IL-4 and IL-7 levels in convalescent patients compared to those in healthy controls. Finally, in comparison with convalescent patients who did not receive post-hospitalization rehabilitation, the convalescent patients who received post-hospitalization rehabilitation had attenuated immune repertoire abnormality, almost back to the level of healthy control, despite no detectable clinic demographic difference. Overall, we report the potential long-term immunological impairment for COVID-19 infection, and correction of this impairment via post-hospitalization rehabilitation may offer a new prospect for COVID-19 recovery strategy.
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8
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Yang H, Cham J, Neal BP, Fan Z, He T, Zhang L. NAIR: Network Analysis of Immune Repertoire. Front Immunol 2023; 14:1181825. [PMID: 37614227 PMCID: PMC10443597 DOI: 10.3389/fimmu.2023.1181825] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Accepted: 06/07/2023] [Indexed: 08/25/2023] Open
Abstract
T cells represent a crucial component of the adaptive immune system and mediate anti-tumoral immunity as well as protection against infections, including respiratory viruses such as SARS-CoV-2. Next-generation sequencing of the T-cell receptors (TCRs) can be used to profile the T-cell repertoire. We developed a customized pipeline for Network Analysis of Immune Repertoire (NAIR) with advanced statistical methods to characterize and investigate changes in the landscape of TCR sequences. We first performed network analysis on the TCR sequence data based on sequence similarity. We then quantified the repertoire network by network properties and correlated it with clinical outcomes of interest. In addition, we identified (1) disease-specific/associated clusters and (2) shared clusters across samples based on our customized search algorithms and assessed their relationship with clinical outcomes such as recovery from COVID-19 infection. Furthermore, to identify disease-specific TCRs, we introduced a new metric that incorporates the clonal generation probability and the clonal abundance by using the Bayes factor to filter out the false positives. TCR-seq data from COVID-19 subjects and healthy donors were used to illustrate that the proposed approach to analyzing the network architecture of the immune repertoire can reveal potential disease-specific TCRs responsible for the immune response to infection.
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Affiliation(s)
- Hai Yang
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, United States
| | - Jason Cham
- Department of Medicine, Scripps Green Hospital, La Jolla, CA, United States
| | - Brian Patrick Neal
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, United States
- Department of Medicine, University of California San Francisco, San Francisco, CA, United States
| | - Zenghua Fan
- Department of Medicine, University of California San Francisco, San Francisco, CA, United States
| | - Tao He
- Department of Mathematics, San Francisco State University, San Francisco, CA, United States
| | - Li Zhang
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, United States
- Department of Medicine, University of California San Francisco, San Francisco, CA, United States
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, United States
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9
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Mansourabadi AH, Aghamajidi A, Dorfaki M, Keshavarz F, Shafeghat Z, Moazzeni A, Arab FL, Rajabian A, Roozbehani M, Falak R, Faraji F, Jafari R. B lymphocytes in COVID-19: a tale of harmony and discordance. Arch Virol 2023; 168:148. [PMID: 37119286 PMCID: PMC10147999 DOI: 10.1007/s00705-023-05773-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2023] [Accepted: 03/29/2023] [Indexed: 05/01/2023]
Abstract
B lymphocytes play a vital role in the human defense against viral infections by producing specific antibodies. They are also critical for the prevention of infectious diseases by vaccination, and their activation influences the efficacy of the vaccination. Since the beginning of coronavirus disease 2019 (COVID-19), which became the main concern of the world health system, many efforts have been made to treat and prevent the disease. However, for the development of successful therapeutics and vaccines, it is necessary to understand the interplay between severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the causative agent of COVID-19, and the immune system. The innate immune system provides primary and nonspecific defense against the virus, but within several days after infection, a virus-specific immune response is provided first by antibody-producing B cells, which are converted after the resolution of disease to memory B cells, which provide long-term immunity. Although a failure in B cell activation or B cell dysfunction can cause a severe form of the disease and also lead to vaccination inefficiency, some individuals with B cell immunodeficiency have shown less production of the cytokine IL-6, resulting in a better disease outcome. In this review, we present the latest findings on the interaction between SARS-CoV-2 and B lymphocytes during COVID-19 infection.
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Affiliation(s)
- Amir Hossein Mansourabadi
- Department of Immunology, School of medicine, Tehran University of Medical Sciences, Tehran, Iran
- Immunogenetics Research Network (IgReN), Universal Scientific Education and Research Network (USERN), Tehran, Iran
| | - Azin Aghamajidi
- Department of Immunology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
- Immunology Research Center, Institute of Immunology and Infectious Diseases, Iran University of Medical Sciences, Tehran, Iran
| | - Maryam Dorfaki
- Department of Microbiology and Immunology, School of Medicine, Shahrekord University of Medical Sciences, Shahrekord, Iran
| | - Fatemeh Keshavarz
- Cellular and Molecular Research Center, Basic Health Sciences Institute, Shahrekord University of Medical Sciences, Shahrekord, Iran
| | - Zahra Shafeghat
- Department of Immunology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
- Immunology Research Center, Institute of Immunology and Infectious Diseases, Iran University of Medical Sciences, Tehran, Iran
| | - Ali Moazzeni
- Blood Transfusion Research Center, High Institute for Research and Education in Transfusion Medicine, Iranian Blood Transfusion Organization (IBTO), Tehran, Iran
| | - Fahimeh Lavi Arab
- Department of Immunology, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
- Immunology Research Center, School of Medicine, Bu-Ali Research Institute, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Arezoo Rajabian
- Department of Internal Medicine, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Mona Roozbehani
- Vaccine Research Center, Iran University of Medical Sciences, Tehran, Iran
| | - Reza Falak
- Department of Immunology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
- Immunology Research Center, Institute of Immunology and Infectious Diseases, Iran University of Medical Sciences, Tehran, Iran
| | - Fatemeh Faraji
- Immunology Research Center, Institute of Immunology and Infectious Diseases, Iran University of Medical Sciences, Tehran, Iran.
- Antimicrobial Resistance Research Center, Institute of Immunology and Infectious Diseases, Iran University of Medical Sciences, Tehran, Iran.
- Institue of Immunology and Infectious diseases, Hazrat-e Rasool General Hospital, Floor 3, Building no. 3, Niyayesh St, Sattar Khan St, 1445613131, Tehran, Iran.
| | - Reza Jafari
- Cellular and Molecular Research Center, Cellular and Molecular Medicine Institute, Urmia University of Medical Sciences, Urmia, Iran.
- Cellular and Molecular Medicine Institute, Urmia University of Medical Sciences, Shafa St., Ershad Blvd, P.O. Box: 1138, 57147, Urmia, Iran.
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10
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Vakhitova M, Myshkin M, Staroverov D, Shagina I, Izraelson M, Tverdova N, Britanova O, Merzlyak E. A Rapid Method for Detection of Antigen-Specific B Cells. Cells 2023; 12:cells12050774. [PMID: 36899909 PMCID: PMC10000731 DOI: 10.3390/cells12050774] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Revised: 02/17/2023] [Accepted: 02/24/2023] [Indexed: 03/05/2023] Open
Abstract
The global SARS-CoV-2 pandemic has united the efforts of many scientists all over the world to develop wet-lab techniques and computational approaches aimed at the identification of antigen-specific T and B cells. The latter provide specific humoral immunity that is essential for the survival of COVID-19 patients, and vaccine development has essentially been based on these cells. Here, we implemented an approach that integrates the sorting of antigen-specific B cells and B-cell receptor mRNA sequencing (BCR-seq), followed by computational analysis. This rapid and cost-efficient method allowed us to identify antigen-specific B cells in the peripheral blood of patients with severe COVID-19 disease. Subsequently, specific BCRs were extracted, cloned, and produced as full antibodies. We confirmed their reactivity toward the spike RBD domain. Such an approach can be effective for the monitoring and identification of B cells participating in an individual immune response.
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Affiliation(s)
- Mariia Vakhitova
- Shemyakin–Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, 117997 Moscow, Russia
| | - Mikhail Myshkin
- Shemyakin–Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, 117997 Moscow, Russia
| | - Dmitriy Staroverov
- Shemyakin–Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, 117997 Moscow, Russia
- Institute of Translation Medicine, Pirogov Russian National Research Medical University, 117997 Moscow, Russia
| | - Irina Shagina
- Shemyakin–Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, 117997 Moscow, Russia
- Institute of Translation Medicine, Pirogov Russian National Research Medical University, 117997 Moscow, Russia
| | - Mark Izraelson
- Shemyakin–Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, 117997 Moscow, Russia
| | - Nadezhda Tverdova
- Shemyakin–Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, 117997 Moscow, Russia
| | - Olga Britanova
- Shemyakin–Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, 117997 Moscow, Russia
- Institute of Translation Medicine, Pirogov Russian National Research Medical University, 117997 Moscow, Russia
- Correspondence: (O.B.); (E.M.)
| | - Ekaterina Merzlyak
- Shemyakin–Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, 117997 Moscow, Russia
- Institute of Translation Medicine, Pirogov Russian National Research Medical University, 117997 Moscow, Russia
- Correspondence: (O.B.); (E.M.)
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11
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Long Z, He J, Shuai Q, Zhang K, Xiang J, Wang H, Xie S, Wang S, Du W, Yao X, Huang J. Influenza vaccination-induced H3 stalk-reactive memory B-cell clone expansion. Vaccine 2023; 41:1132-1141. [PMID: 36621409 DOI: 10.1016/j.vaccine.2022.12.068] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Revised: 12/29/2022] [Accepted: 12/30/2022] [Indexed: 01/07/2023]
Abstract
Current vaccine formulations elicit a recall immune response against viruses by targeting epitopes on the globular head of hemagglutinin (HA), and stalk-reactive antibodies are rarely found. However, stalk-specific memory B-cell expansion after influenza vaccination is poorly understood. In this study, B cells were isolated from individuals immunized with seasonal tetravalent influenza vaccines at days 0 and 28 for H7N9 stimulation in vitro. Plasma and supernatants were collected for the analysis of anti-HA IgG using ELISA and a Luminex assay. Memory B cells were positively enriched, and total RNA was extracted for B cell receptor (BCR) H-CDR3 sequencing. All subjects displayed increased anti-H3 antibody secretion after vaccination, whereas no increase in cH5/3-reactive IgG levels was detected. The number of shared memory B-cell clones among individuals dropped dramatically from 593 to 37. Four out of 5 subjects displayed enhanced frequencies of the VH3-23 and VH3-30 genes, and one exhibited an increase in the frequency of VH1-18, which are associated with the stalk of HA. An increase in H3 stalk-specific antibodies produced by B cells stimulated with H7N9 viruses was detected after vaccination. These results demonstrated that H3 stalk-specific memory B cells can expand and secrete antibodies that bind to the stalk in vitro, although no increase in serum H3 stalk-reactive antibodies was found after vaccination, indicating potential for developing a universal vaccine strategy.
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Affiliation(s)
- Zhaoyi Long
- Department of Blood Transfusion, Affiliated Hospital of Zunyi Medical University, Zunyi, China
| | - Jiang He
- Department of Blood Transfusion, Affiliated Hospital of Zunyi Medical University, Zunyi, China; Department of Blood Transfusion, Suining Central Hospital, Suining, China
| | - Qinglu Shuai
- Department of Blood Transfusion, Affiliated Hospital of Zunyi Medical University, Zunyi, China
| | - Ke Zhang
- Department of Laboratory Medicine, Affiliated Hospital of Zunyi Medical University, Zunyi, China
| | - Jim Xiang
- Cancer Research Cluster, Saskatchewan Cancer Agency, Division of Oncology, College of Medicine, University of Saskatchewan, Saskatoon, Canada
| | - Huan Wang
- Key Laboratory of Infectious Disease and Biosafety, Provincial Department of Education, Guizhou, Zunyi Medical University, Zunyi, China
| | - Shuang Xie
- Department of Blood Transfusion, Affiliated Hospital of Zunyi Medical University, Zunyi, China
| | - Shengyu Wang
- Key Laboratory of Infectious Disease and Biosafety, Provincial Department of Education, Guizhou, Zunyi Medical University, Zunyi, China
| | - Wensheng Du
- Department of Laboratory Medicine, Affiliated Hospital of Zunyi Medical University, Zunyi, China
| | - Xinsheng Yao
- Department of Immunology, Zunyi Medical University, Zunyi, China
| | - Junqiong Huang
- Department of Blood Transfusion, Affiliated Hospital of Zunyi Medical University, Zunyi, China.
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12
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Iwabuchi S, Tsukahara T, Okayama T, Kitabatake M, Motobayashi H, Shichino S, Imafuku T, Yamaji K, Miyamoto K, Tamura S, Ueha S, Ito T, Murata SI, Kondo T, Ikeo K, Suzuki Y, Matsushima K, Kohara M, Torigoe T, Yamaue H, Hashimoto S. B cell receptor repertoire analysis from autopsy samples of COVID-19 patients. Front Immunol 2023; 14:1034978. [PMID: 36911681 PMCID: PMC9996338 DOI: 10.3389/fimmu.2023.1034978] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Accepted: 02/10/2023] [Indexed: 02/25/2023] Open
Abstract
Neutralizing antibodies against the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are being developed world over. We investigated the possibility of producing artificial antibodies from the formalin fixation and paraffin-embedding (FFPE) lung lobes of a patient who died by coronavirus disease 2019 (COVID-19). The B-cell receptors repertoire in the lung tissue where SARS-CoV-2 was detected were considered to have highly sensitive virus-neutralizing activity, and artificial antibodies were produced by combining the most frequently detected heavy and light chains. Some neutralizing effects against the SARS-CoV-2 were observed, and mixing two different artificial antibodies had a higher tendency to suppress the virus. The neutralizing effects were similar to the immunoglobulin G obtained from healthy donors who had received a COVID-19 mRNA vaccine. Therefore, the use of FFPE lung tissue, which preserves the condition of direct virus sensitization, to generate artificial antibodies may be useful against future unknown infectious diseases.
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Affiliation(s)
- Sadahiro Iwabuchi
- Department of Molecular Pathophysiology, Institute of Advanced Medicine, Wakayama Medical University, Wakayama, Japan
| | - Tomohide Tsukahara
- Department of Pathology, Sapporo Medical University School of Medicine, Hokkaido, Japan
| | - Toshitugu Okayama
- Laboratory of DNA Data Analysis, National Institute of Genetics, Shizuoka, Japan
| | | | - Hideki Motobayashi
- Second Department of Surgery, Wakayama Medical University, Wakayama, Japan
| | - Shigeyuki Shichino
- Division of Molecular Regulation of Inflammatory and Immune Disease, Research Institute for Biomedical Sciences, Tokyo University of Science, Chiba, Japan
| | - Tadashi Imafuku
- Department of Molecular Pathophysiology, Institute of Advanced Medicine, Wakayama Medical University, Wakayama, Japan
| | - Kenzaburo Yamaji
- Department of Diseases and Infection, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan
| | - Kyohei Miyamoto
- Department of Emergency and Critical Care Medicine, Wakayama Medical University, Wakayama, Japan
| | - Shinobu Tamura
- Department of Emergency and Critical Care Medicine, Wakayama Medical University, Wakayama, Japan
| | - Satoshi Ueha
- Division of Molecular Regulation of Inflammatory and Immune Disease, Research Institute for Biomedical Sciences, Tokyo University of Science, Chiba, Japan
| | - Toshihiro Ito
- Department of Immunology, Nara Medical University, Nara, Japan
| | - Shin-Ichi Murata
- Departments of Human Pathology, Wakayama Medical University, Wakayama, Japan
| | - Toshikazu Kondo
- Department of Forensic Medicine, Wakayama Medical University, Wakayama, Japan
| | - Kazuho Ikeo
- Laboratory of DNA Data Analysis, National Institute of Genetics, Shizuoka, Japan
| | - Yutaka Suzuki
- Department of Computational Biology, Graduate School of Frontier Sciences, The University of Tokyo, Chiba, Japan
| | - Kouji Matsushima
- Division of Molecular Regulation of Inflammatory and Immune Disease, Research Institute for Biomedical Sciences, Tokyo University of Science, Chiba, Japan
| | - Michinori Kohara
- Department of Diseases and Infection, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan
| | - Toshihiko Torigoe
- Department of Pathology, Sapporo Medical University School of Medicine, Hokkaido, Japan
| | - Hiroki Yamaue
- Second Department of Surgery, Wakayama Medical University, Wakayama, Japan.,Departments of Cancer Immunology, Wakayama Medical University, Wakayama, Japan
| | - Shinichi Hashimoto
- Department of Molecular Pathophysiology, Institute of Advanced Medicine, Wakayama Medical University, Wakayama, Japan
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13
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He B, Liu S, Xu M, Hu Y, Lv K, Wang Y, Ma Y, Zhai Y, Yue X, Liu L, Lu H, Zhou S, Li P, Mai G, Huang X, Li C, Chen S, Ye S, Zhao P, Yang Y, Li X, Jie Y, Shi M, Yang J, Shu Y, Chen YQ. Comparative global B cell receptor repertoire difference induced by SARS-CoV-2 infection or vaccination via single-cell V(D)J sequencing. Emerg Microbes Infect 2022; 11:2007-2020. [PMID: 35899581 PMCID: PMC9377262 DOI: 10.1080/22221751.2022.2105261] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 06/30/2022] [Accepted: 07/19/2022] [Indexed: 02/05/2023]
Abstract
Dynamic changes of the paired heavy and light chain B cell receptor (BCR) repertoire provide an essential insight into understanding the humoral immune response post-SARS-CoV-2 infection and vaccination. However, differences between the endogenous paired BCR repertoire kinetics in SARS-CoV-2 infection and previously recovered/naïve subjects treated with the inactivated vaccine remain largely unknown. We performed single-cell V(D)J sequencing of B cells from six healthy donors with three shots of inactivated SARS-CoV-2 vaccine (BBIBP-CorV), five people who received the BBIBP-CorV vaccine after having recovered from COVID-19, five unvaccinated COVID-19 recovered patients and then integrated with public data of B cells from four SARS-CoV-2-infected subjects. We discovered that BCR variable (V) genes were more prominently used in the SARS-CoV-2 exposed groups (both in the group with active infection and in the group that had recovered) than in the vaccinated groups. The VH gene that expanded the most after SARS-CoV-2 infection was IGHV3-33, while IGHV3-23 in the vaccinated groups. SARS-CoV-2-infected group enhanced more BCR clonal expansion and somatic hypermutation than the vaccinated healthy group. A small proportion of public clonotypes were shared between the SARS-CoV-2 infected, vaccinated healthy, and recovered groups. Moreover, several public antibodies had been identified against SARS-CoV-2 spike protein. We comprehensively characterize the paired heavy and light chain BCR repertoire from SARS-CoV-2 infection to vaccination, providing further guidance for the development of the next-generation precision vaccine.
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Affiliation(s)
- Bing He
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, People’s Republic of China
| | - Shuning Liu
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, People’s Republic of China
| | - Mengxin Xu
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, People’s Republic of China
| | - Yunqi Hu
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, People’s Republic of China
| | - Kexin Lv
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, People’s Republic of China
| | - Yuanyuan Wang
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, People’s Republic of China
| | - Yong Ma
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, People’s Republic of China
| | - Yanmei Zhai
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, People’s Republic of China
| | - Xinyu Yue
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, People’s Republic of China
| | - Lin Liu
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, People’s Republic of China
| | - Hongjie Lu
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, People’s Republic of China
| | - Siwei Zhou
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, People’s Republic of China
| | - Pengbin Li
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, People’s Republic of China
| | - Guoqin Mai
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, People’s Republic of China
| | - Xiaoping Huang
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, People’s Republic of China
| | - Chenhang Li
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, People’s Republic of China
| | - Shifeng Chen
- Department of Respiratory and Critical Care Medicine, The 74(th) Group Army Hospital, Guangzhou, People’s Republic of China
| | - Shupei Ye
- SSL Central Hospital of Dongguan City, Dongguan, People’s Republic of China
| | - Pingsen Zhao
- Laboratory for Diagnosis of Clinical Microbiology and Infection, Medical Research Center, Yuebei People’s Hospital, Shantou University Medical College, Shaoguan, People’s Republic of China
| | - Yuedong Yang
- School of Data and Computer Science, Sun Yat-sen University, Guangzhou, People’s Republic of China
| | - Xinhua Li
- Department of Infectious Diseases and Key Laboratory of Liver Disease of Guangdong Province, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, People’s Republic of China
| | - Yusheng Jie
- Department of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, People’s Republic of China
| | - Mang Shi
- The Centre for Infection and Immunity Studies, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, People’s Republic of China
| | - Jingyi Yang
- Vaccine and Immunology Research Center, Translational Medical Research Institute, Shanghai Public Health Clinical Center, Fudan University, Shanghai, People’s Republic of China
| | - Yuelong Shu
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, People’s Republic of China
| | - Yao-Qing Chen
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, People’s Republic of China
- b School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, People’s Republic of China
- k Ministry of Education, Key Laboratory of Tropical Disease Control (Sun Yat-sen University), Guangzhou, People’s Republic of China
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14
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Guerra D, Beaumont T, RadiÄ L, Kerster G, van der Straten K, Yuan M, Torres JL, Lee WH, Liu H, Poniman M, Bontjer I, Burger JA, Claireaux M, Caniels TG, Snitselaar JL, Bijl TPL, Kruijer S, Ozorowski G, Gideonse D, Sliepen K, Ward AB, Eggink D, de Bree GJ, Wilson IA, Sanders RW, van Gils MJ. Broad SARS-CoV-2 Neutralization by Monoclonal and Bispecific Antibodies Derived from a Gamma-infected Individual. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2022:2022.10.14.512216. [PMID: 36263063 PMCID: PMC9580383 DOI: 10.1101/2022.10.14.512216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
The worldwide pandemic caused by SARS-CoV-2 has remained a human medical threat due to the continued evolution of multiple variants that acquire resistance to vaccines and prior infection. Therefore, it is imperative to discover monoclonal antibodies (mAbs) that neutralize a broad range of SARS-CoV-2 variants for therapeutic and prophylactic use. A stabilized autologous SARS-CoV-2 spike glycoprotein was used to enrich antigen-specific B cells from an individual with a primary Gamma variant infection. Five mAbs selected from those B cells showed considerable neutralizing potency against multiple variants of concern, with COVA309-35 being the most potent against the autologous virus, as well as against Omicron BA.1 and BA.2. When combining the COVA309 mAbs as cocktails or bispecific antibody formats, the breadth and potency was significantly improved against all tested variants. In addition, the mechanism of cross-neutralization of the COVA309 mAbs was elucidated by structural analysis. Altogether these data indicate that a Gamma-infected individual can develop broadly neutralizing antibodies.
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15
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Yang X, Chi H, Wu M, Wang Z, Lang Q, Han Q, Wang X, Liu X, Li Y, Wang X, Huang N, Bi J, Liang H, Gao Y, Zhao Y, Feng N, Yang S, Wang T, Xia X, Ge L. Discovery and characterization of SARS-CoV-2 reactive and neutralizing antibodies from humanized CAMouseHG mice through rapid hybridoma screening and high-throughput single-cell V(D)J sequencing. Front Immunol 2022; 13:992787. [PMID: 36211410 PMCID: PMC9545174 DOI: 10.3389/fimmu.2022.992787] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Accepted: 08/26/2022] [Indexed: 11/13/2022] Open
Abstract
The coronavirus disease 2019 pandemic has caused more than 532 million infections and 6.3 million deaths to date. The reactive and neutralizing fully human antibodies of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are effective detection tools and therapeutic measures. During SARS-CoV-2 infection, a large number of SARS-CoV-2 reactive and neutralizing antibodies will be produced. Most SARS-CoV-2 reactive and neutralizing fully human antibodies are isolated from human and frequently encoded by convergent heavy-chain variable genes. However, SARS-CoV-2 viruses can mutate rapidly during replication and the resistant variants of neutralizing antibodies easily survive and evade the immune response, especially in the face of such focused antibody responses in humans. Therefore, additional tools are needed to develop different kinds of fully human antibodies to compensate for current deficiency. In this study, we utilized antibody humanized CAMouseHG mice to develop a rapid antibody discovery method and examine the antibody repertoire of SARS-CoV-2 RBD-reactive hybridoma cells derived from CAMouseHG mice by using high-throughput single-cell V(D)J sequencing analysis. CAMouseHG mice were immunized by 28-day rapid immunization method. After electrofusion and semi-solid medium screening on day 12 post-electrofusion, 171 hybridoma clones were generated based on the results of SARS-CoV-2 RBD binding activity assay. A rather obvious preferential usage of IGHV6-1 family was found in these hybridoma clones derived from CAMouseHG mice, which was significantly different from the antibodies found in patients with COVID-19. After further virus neutralization screening and antibody competition assays, we generated a noncompeting two-antibody cocktail, which showed a potent prophylactic protective efficacy against SARS-CoV-2 in cynomolgus macaques. These results indicate that humanized CAMouseHG mice not only provide a valuable platform to obtain fully human reactive and neutralizing antibodies but also have a different antibody repertoire from humans. Thus, humanized CAMouseHG mice can be used as a good complementary tool in discovery of fully human therapeutic and diagnostic antibodies.
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Affiliation(s)
- Xi Yang
- Institute of Bioengineering, ChongQing Academy of Animal Sciences, Chongqing, China
| | - Hang Chi
- Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, China
| | - Meng Wu
- Institute of Bioengineering, ChongQing Academy of Animal Sciences, Chongqing, China
| | - Zhenshan Wang
- Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, China
- College of Veterinary Medicine, Jilin Agricultural University, Changchun, China
| | - Qiaoli Lang
- Institute of Bioengineering, ChongQing Academy of Animal Sciences, Chongqing, China
| | - Qiuxue Han
- Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, China
- Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences (CAMS) and Comparative Medicine Center, Peking Union Medical College (PUMC), Beijing, China
| | - Xinyue Wang
- Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, China
- College of Wildlife and Protected Area, Northeast Forestry University, Harbin, China
| | - Xueqin Liu
- Institute of Bioengineering, ChongQing Academy of Animal Sciences, Chongqing, China
| | - Yuanguo Li
- Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, China
| | - Xiwen Wang
- Food and Drug Inspection Laboratory, Administration for Drug and Instrument Supervision and Inspection, Beijing, China
| | - Nan Huang
- Institute of Bioengineering, ChongQing Academy of Animal Sciences, Chongqing, China
| | - Jinhao Bi
- Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, China
- College of Veterinary Medicine, Jilin Agricultural University, Changchun, China
| | - Hao Liang
- Institute of Bioengineering, ChongQing Academy of Animal Sciences, Chongqing, China
| | - Yuwei Gao
- Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, China
| | - Yongkun Zhao
- Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, China
| | - Na Feng
- Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, China
| | - Songtao Yang
- Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, China
| | - Tiecheng Wang
- Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, China
- *Correspondence: Liangpeng Ge, ; Tiecheng Wang, ; Xianzhu Xia,
| | - Xianzhu Xia
- Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, China
- *Correspondence: Liangpeng Ge, ; Tiecheng Wang, ; Xianzhu Xia,
| | - Liangpeng Ge
- Institute of Bioengineering, ChongQing Academy of Animal Sciences, Chongqing, China
- *Correspondence: Liangpeng Ge, ; Tiecheng Wang, ; Xianzhu Xia,
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16
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Liu W, Jia J, Dai Y, Chen W, Pei G, Yan Q, Zhao Z. Delineating COVID-19 immunological features using single-cell RNA sequencing. Innovation (N Y) 2022; 3:100289. [PMID: 35879967 PMCID: PMC9299978 DOI: 10.1016/j.xinn.2022.100289] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Accepted: 07/16/2022] [Indexed: 11/24/2022] Open
Abstract
Understanding the molecular mechanisms of coronavirus disease 2019 (COVID-19) pathogenesis and immune response is vital for developing therapies. Single-cell RNA sequencing has been applied to delineate the cellular heterogeneity of the host response toward COVID-19 in multiple tissues and organs. Here, we review the applications and findings from over 80 original COVID-19 single-cell RNA sequencing studies as well as many secondary analysis studies. We describe that single-cell RNA sequencing reveals multiple features of COVID-19 patients with different severity, including cell populations with proportional alteration, COVID-19-induced genes and pathways, severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection in single cells, and adaptation of immune repertoire. We also collect published single-cell RNA sequencing datasets from original studies. Finally, we discuss the limitations in current studies and perspectives for future advance.
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Affiliation(s)
- Wendao Liu
- The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, TX 77030, USA
- Center for Precision Health, School of Biomedical Informatics, the University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Johnathan Jia
- The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, TX 77030, USA
- Center for Precision Health, School of Biomedical Informatics, the University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Yulin Dai
- Center for Precision Health, School of Biomedical Informatics, the University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Wenhao Chen
- Immunobiology and Transplant Science Center, Department of Surgery, Houston Methodist Research Institute and Institute for Academic Medicine, Houston Methodist Hospital, Houston, TX 77030, USA
- Department of Surgery, Weill Cornell Medicine, Cornell University, New York, NY 10065, USA
| | - Guangsheng Pei
- Center for Precision Health, School of Biomedical Informatics, the University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Qiheng Yan
- Center for Precision Health, School of Biomedical Informatics, the University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Zhongming Zhao
- The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, TX 77030, USA
- Center for Precision Health, School of Biomedical Informatics, the University of Texas Health Science Center at Houston, Houston, TX 77030, USA
- Human Genetics Center, School of Public Health, the University of Texas Health Science Center at Houston, Houston, TX 77030, USA
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37203, USA
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17
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Effects of Prior Infection with SARS-CoV-2 on B Cell Receptor Repertoire Response during Vaccination. Vaccines (Basel) 2022; 10:vaccines10091477. [PMID: 36146555 PMCID: PMC9506540 DOI: 10.3390/vaccines10091477] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Revised: 08/24/2022] [Accepted: 08/29/2022] [Indexed: 11/24/2022] Open
Abstract
Understanding the B cell response to SARS-CoV-2 vaccines is a high priority. High-throughput sequencing of the B cell receptor (BCR) repertoire allows for dynamic characterization of B cell response. Here, we sequenced the BCR repertoire of individuals vaccinated by the Pfizer SARS-CoV-2 mRNA vaccine. We compared BCR repertoires of individuals with previous COVID-19 infection (seropositive) to individuals without previous infection (seronegative). We discovered that vaccine-induced expanded IgG clonotypes had shorter heavy-chain complementarity determining region 3 (HCDR3), and for seropositive individuals, these expanded clonotypes had higher somatic hypermutation (SHM) than seronegative individuals. We uncovered shared clonotypes present in multiple individuals, including 28 clonotypes present across all individuals. These 28 shared clonotypes had higher SHM and shorter HCDR3 lengths compared to the rest of the BCR repertoire. Shared clonotypes were present across both serotypes, indicating convergent evolution due to SARS-CoV-2 vaccination independent of prior viral exposure.
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18
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He J, Shen J, Luo W, Han Z, Xie F, Pang T, Liao L, Guo Z, Li J, Li Y, Chen H. Research progress on application of single-cell TCR/BCR sequencing technology to the tumor immune microenvironment, autoimmune diseases, and infectious diseases. Front Immunol 2022; 13:969808. [PMID: 36059506 PMCID: PMC9434330 DOI: 10.3389/fimmu.2022.969808] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Accepted: 07/22/2022] [Indexed: 11/13/2022] Open
Abstract
Single-cell omics is the profiling of individual cells through sequencing and other technologies including high-throughput analysis for single-cell resolution, cell classification, and identification as well as time series analyses. Unlike multicellular studies, single-cell omics overcomes the problem of cellular heterogeneity. It provides new methods and perspectives for in-depth analyses of the behavior and mechanism of individual cells in the cell population and their relationship with the body, and plays an important role in basic research and precision medicine. Single-cell sequencing technologies mainly include single-cell transcriptome sequencing, single-cell assay for transposase accessible chromatin with high-throughput sequencing, single-cell immune profiling (single-cell T-cell receptor [TCR]/B-cell receptor [BCR] sequencing), and single-cell transcriptomics. Single-cell TCR/BCR sequencing can be used to obtain a large amount of single-cell gene expression and immunomics data at one time, and combined with transcriptome sequencing and TCR/BCR diversity data, can resolve immune cell heterogeneity. This paper summarizes the progress in applying single-cell TCR/BCR sequencing technology to the tumor immune microenvironment, autoimmune diseases, infectious diseases, immunotherapy, and chronic inflammatory diseases, and discusses its shortcomings and prospects for future application.
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Affiliation(s)
- Jinhua He
- Central Laboratory, Central Hospital of Panyu District, Guangzhou, China
| | - Jian Shen
- Central Laboratory, Central Hospital of Panyu District, Guangzhou, China
| | - Wenfeng Luo
- Central Laboratory, Central Hospital of Panyu District, Guangzhou, China
| | - Zeping Han
- Central Laboratory, Central Hospital of Panyu District, Guangzhou, China
| | - Fangmei Xie
- Central Laboratory, Central Hospital of Panyu District, Guangzhou, China
| | - Ting Pang
- Central Laboratory, Central Hospital of Panyu District, Guangzhou, China
| | - Liyin Liao
- Central Laboratory, Central Hospital of Panyu District, Guangzhou, China
| | - Zhonghui Guo
- Central Laboratory, Central Hospital of Panyu District, Guangzhou, China
| | - Jianhao Li
- Institute of Cardiovascular Medicine, Central Hospital of Panyu District, Guangzhou, China
- *Correspondence: Hanwei Chen, ; Yuguang Li, ; Jianhao Li,
| | - Yuguang Li
- Administrative Office, He Xian Memorial Hospital, Southern Medical University, Guangzhou, China
- *Correspondence: Hanwei Chen, ; Yuguang Li, ; Jianhao Li,
| | - Hanwei Chen
- Central Laboratory, Central Hospital of Panyu District, Guangzhou, China
- Medical Imaging Institute of Panyu, Central Hospital of Panyu District, Guangzhou, China
- *Correspondence: Hanwei Chen, ; Yuguang Li, ; Jianhao Li,
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19
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Zheng B, Yang Y, Chen L, Wu M, Zhou S. B-Cell Receptor Repertoire Sequencing: Deeper Digging into the Mechanisms and Clinical Aspects of Immune-mediated Diseases. iScience 2022; 25:105002. [PMID: 36157582 PMCID: PMC9494237 DOI: 10.1016/j.isci.2022.105002] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
B cells play an essential role in adaptive immunity and are intimately correlated with pleiotropic immune-mediated diseases. Each B cell occupies a unique B cell receptor (BCR), and all BCRs throughout our body form “BCR repertoire.” With the development of sequencing technology and coupled bioinformatics, accumulating evidence indicates that BCR repertoire largely varies under physiological and pathological conditions. Therefore, comprehensive grasp of BCR repertoire will provide new insights into the pathogenesis of immune-mediated diseases and help exploit efficient diagnostic and treatment strategies. In this review, we start with an overview of BCR repertoire and related sequencing technologies and summarize their current applications in immune-mediated diseases. We also underscore the challenges of this emerging field and propose promising future directions in advancing BCR repertoire exploration.
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Affiliation(s)
- Bohao Zheng
- Wuxi School of Medicine, Jiangnan University, Wuxi, P. R. China
- Department of Obstetrics and Gynecology, Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE and State Key Laboratory of Biotherapy, West China Second Hospital, Sichuan University and Collaborative Innovation Center, Chengdu, P. R. China
| | - Yuqing Yang
- Department of Obstetrics and Gynecology, Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE and State Key Laboratory of Biotherapy, West China Second Hospital, Sichuan University and Collaborative Innovation Center, Chengdu, P. R. China
| | - Lin Chen
- Department of Obstetrics and Gynecology, Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE and State Key Laboratory of Biotherapy, West China Second Hospital, Sichuan University and Collaborative Innovation Center, Chengdu, P. R. China
| | - Mengrui Wu
- Department of Obstetrics and Gynecology, Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE and State Key Laboratory of Biotherapy, West China Second Hospital, Sichuan University and Collaborative Innovation Center, Chengdu, P. R. China
| | - Shengtao Zhou
- Department of Obstetrics and Gynecology, Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE and State Key Laboratory of Biotherapy, West China Second Hospital, Sichuan University and Collaborative Innovation Center, Chengdu, P. R. China
- Corresponding author
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20
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Ding Q, Yang W, Luo M, Xu C, Xu Z, Pang F, Cai Y, Anashkina AA, Su X, Chen N, Jiang Q. CBLRR: a cauchy-based bounded constraint low-rank representation method to cluster single-cell RNA-seq data. Brief Bioinform 2022; 23:6649282. [DOI: 10.1093/bib/bbac300] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 06/17/2022] [Accepted: 07/02/2022] [Indexed: 11/14/2022] Open
Abstract
Abstract
The rapid development of single-cel+l RNA sequencing (scRNA-seq) technology provides unprecedented opportunities for exploring biological phenomena at the single-cell level. The discovery of cell types is one of the major applications for researchers to explore the heterogeneity of cells. Some computational methods have been proposed to solve the problem of scRNA-seq data clustering. However, the unavoidable technical noise and notorious dropouts also reduce the accuracy of clustering methods. Here, we propose the cauchy-based bounded constraint low-rank representation (CBLRR), which is a low-rank representation-based method by introducing cauchy loss function (CLF) and bounded nuclear norm regulation, aiming to alleviate the above issue. Specifically, as an effective loss function, the CLF is proven to enhance the robustness of the identification of cell types. Then, we adopt the bounded constraint to ensure the entry values of single-cell data within the restricted interval. Finally, the performance of CBLRR is evaluated on 15 scRNA-seq datasets, and compared with other state-of-the-art methods. The experimental results demonstrate that CBLRR performs accurately and robustly on clustering scRNA-seq data. Furthermore, CBLRR is an effective tool to cluster cells, and provides great potential for downstream analysis of single-cell data. The source code of CBLRR is available online at https://github.com/Ginnay/CBLRR.
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Affiliation(s)
- Qian Ding
- School of Life Science and Technology, Harbin Institute of Technology , Harbin, Heilongjiang, China
| | - Wenyi Yang
- School of Life Science and Technology, Harbin Institute of Technology , Harbin, Heilongjiang, China
| | - Meng Luo
- School of Life Science and Technology, Harbin Institute of Technology , Harbin, Heilongjiang, China
| | - Chang Xu
- School of Life Science and Technology, Harbin Institute of Technology , Harbin, Heilongjiang, China
| | - Zhaochun Xu
- School of Life Science and Technology, Harbin Institute of Technology , Harbin, Heilongjiang, China
| | - Fenglan Pang
- School of Life Science and Technology, Harbin Institute of Technology , Harbin, Heilongjiang, China
| | - Yideng Cai
- School of Life Science and Technology, Harbin Institute of Technology , Harbin, Heilongjiang, China
| | - Anastasia A Anashkina
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences , Moscow, Russia
| | - Xi Su
- Foshan Maternity & Child Healthcare Hospital, Southern Medical University , Foshan, Guangdong, China
| | - Na Chen
- Department of Hematology, Shandong Provincial Hospital Affiliated to Shandong First Medical University , Jinan, Shandong, China
| | - Qinghua Jiang
- School of Life Science and Technology, Harbin Institute of Technology , Harbin, Heilongjiang, China
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21
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Gao H, Yu L, Yan F, Zheng Y, Huang H, Zhuang X, Zeng Y. Landscape of B Cell Receptor Repertoires in COVID-19 Patients Revealed Through CDR3 Sequencing of Immunoglobulin Heavy and Light Chains. Immunol Invest 2022; 51:1994-2008. [PMID: 35797435 DOI: 10.1080/08820139.2022.2092407] [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: 11/05/2022]
Abstract
The outbreak and persistence of coronavirus disease 2019 (COVID-19) threaten human health. B cells play a vital role in fighting the infections caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Despite many studies on the immune responses in COVID-19 patients, it is still unclear how B cell receptor (BCR) constituents, including immunoglobulin heavy (IGHs) and light chains (IGLs), respond to SARS-CoV-2 in patients with varying symptoms. In this study, we conducted complementarity-determining region 3 (CDR3) sequencing of BCR IGHs and IGLs from the peripheral blood of COVID-19 patients and healthy donors. The results showed significantly reduced clonal diversity, more expanded clones, and longer CDR3 lengths of IGH and IGL in COVID-19 patients than those in healthy individuals. The IGLs had a much higher percentage of VJ skew usage (47.83% IGLV and 42.86% IGLJ were significantly regulated) than the IGHs (12.09% IGHV and 0% IGHJ) between the healthy individuals and patients, which indicated the importance of BCR light chains. Furthermore, we found a largely expanded IGLV3-25 gene cluster mostly pairing with IGLJ1 and ILGJ2 in COVID-19 patients and a newly identified upregulated IGLJ1 gene and IGLJ2+IGLV13-21 recombination, both of which are potential sources of SARS-CoV-2-targeting antibodies. Our findings on specific immune B-cell signatures associated with COVID-19 have clinical implications for vaccine and biomarker development for disease diagnosis.
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Affiliation(s)
- Hongzhi Gao
- Central Laboratory, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian Province, China.,Department of Respiratory Medicine, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian Province, China
| | - Liying Yu
- Central Laboratory, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian Province, China
| | - Furong Yan
- Central Laboratory, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian Province, China
| | - Youxian Zheng
- Department of Microbiology, Quanzhou Municipal Center for Disease Control and Prevention, Fujian Province, Quanzhou, China
| | - Hongbo Huang
- Department of Pulmonary and Critical Care Medicine, Quanzhou First Hospital Affiliated to Fujian Medical University, Quanzhou, Fujian Province, China
| | - Xibin Zhuang
- Department of Pulmonary and Critical Care Medicine, Quanzhou First Hospital Affiliated to Fujian Medical University, Quanzhou, Fujian Province, China
| | - Yiming Zeng
- Department of Respiratory Medicine, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian Province, China
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22
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Deng L, Yang F, Xu Z, Li F, Zhao J, Deng H, Jian Z, Lai S, Sun X, Zhu L. Characterization of B cell receptor H-CDR3 repertoire of spleen in PRV-infected mice. BMC Vet Res 2022; 18:228. [PMID: 35715782 PMCID: PMC9204683 DOI: 10.1186/s12917-022-03340-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Accepted: 06/06/2022] [Indexed: 11/23/2022] Open
Abstract
Pseudorabies virus (PRV), also known as suid Alphaherpesvirus 1 (SuHV-1), which is one of the most devastating infectious pathogen of swine industry worldwide. Vaccination is the safest and most effective PRV prevention and control strategy. B cell receptor (BCR) is membrane-bound immunoglobulin located on the surface of B cells capable of specifically binding foreign antigens, which is one of the most important molecules regulating the proliferation and function of B cells. Here, to assess the molecular diversity of BCR H-CDR3 repertoire after different PRV strains infection, we detected the IGHV, IGHD, IGHJ genes usage and CDR3 sequence changes of mice spleen with PRV vaccine strain (Bartha-K61), variant strain (XJ) and mock infection by high-throughput sequencing. We found that PRV-infected groups shared partial BCR sequences, which are most likely to be PRV-specific BCR candidates. However, there were still differences in the IGHV genes usage as well as the combined usage of IGHV and IGHJ genes between the Bartha-K61 strain and XJ strain infection groups. In addition, the CDR3 sequences exhibited large differences in the types and lengths in PRV infection groups. Our study contributes to a better understanding of the host adaptive immune response to PRV infection and provides a theoretical basis for further research on novel and efficient PRV vaccines in the future.
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Affiliation(s)
- Lishuang Deng
- College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, China
| | - Fan Yang
- College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, China
| | - Zhiwen Xu
- College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, China
- Key Laboratory of Animal Diseases and Human Health of Sichuan Province, Chengdu, China
| | - Fengqin Li
- College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, China
- College of Animal Science, Xichang University, Xichang, China
| | - Jun Zhao
- College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, China
| | - Huidan Deng
- College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, China
| | - Zhijie Jian
- College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, China
| | - Siyuan Lai
- College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, China
| | - Xiangang Sun
- College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, China
| | - Ling Zhu
- College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, China.
- Key Laboratory of Animal Diseases and Human Health of Sichuan Province, Chengdu, China.
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23
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Zhou W, Xu C, Luo M, Wang P, Xu Z, Xue G, Jin X, Huang Y, Li Y, Nie H, Jiang Q, Anashkina AA. MutCov: A pipeline for evaluating the effect of mutations in spike protein on infectivity and antigenicity of SARS-CoV-2. Comput Biol Med 2022; 145:105509. [PMID: 35421792 PMCID: PMC8993498 DOI: 10.1016/j.compbiomed.2022.105509] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Revised: 04/05/2022] [Accepted: 04/06/2022] [Indexed: 12/16/2022]
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), causing an outbreak of coronavirus disease 2019 (COVID-19), is a major threat to public health worldwide. Previous studies have shown that the spike protein of SARS-CoV-2 determines viral infectivity and major antigenicity. However, the spike protein has been undergoing various mutations, which bring a great challenge to the prevention and treatment of COVID-19. Here we present the MutCov, a pipeline for evaluating the effect of mutations in spike protein on infectivity and antigenicity of SARS-CoV-2 by calculating the binding free energy between spike protein and angiotensin-converting enzyme 2 (ACE2) or neutralizing monoclonal antibody (mAb). The predicted infectivity and antigenicity were highly consistent with biologically experimental results, and demonstrated that the MutCov achieved good prediction performance. In conclusion, the MutCov is of high importance for systematically evaluating the effect of novel mutations and improving the prevention and treatment of COVID-19. The source code and installation instruction of MutCov are freely available at http://jianglab.org.cn/MutCov.
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Affiliation(s)
- Wenyang Zhou
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, 150000, China
| | - Chang Xu
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, 150000, China
| | - Meng Luo
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, 150000, China
| | - Pingping Wang
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, 150000, China
| | - Zhaochun Xu
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, 150000, China
| | - Guangfu Xue
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, 150000, China
| | - Xiyun Jin
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, 150000, China
| | - Yan Huang
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, 150000, China
| | - Yiqun Li
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, 150000, China
| | - Huan Nie
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, 150000, China
| | - Qinghua Jiang
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, 150000, China,Corresponding author
| | - Anastasia A. Anashkina
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia,Corresponding author
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24
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The Effect of Waning on Antibody Levels and Memory B Cell Recall following SARS-CoV-2 Infection or Vaccination. Vaccines (Basel) 2022; 10:vaccines10050696. [PMID: 35632452 PMCID: PMC9143792 DOI: 10.3390/vaccines10050696] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Revised: 04/25/2022] [Accepted: 04/27/2022] [Indexed: 02/04/2023] Open
Abstract
In order to longitudinally track SARS-CoV-2 antibody levels after vaccination or infection, we assessed anti-RBD antibody levels in over 1000 people and found no significant decrease in antibody levels during the first 14 months after infection in unvaccinated participants, however, a significant waning of antibody levels was observed following vaccination. Participants who were pre-immune to SARS-CoV-2 prior to vaccination seroconverted to higher antibody levels, which were maintained at higher levels than in previously infected, unvaccinated participants. Older participants exhibited lower level of antibodies after vaccination, but a higher level after infection than younger people. The rate of antibody waning was not affected by pre-immunity or age. Participants who received a third dose of an mRNA vaccine not only increased their antibody levels ~14-fold, but also had ~3 times more antibodies compared to when they received their primary vaccine series. PBMC-derived memory B cells from 13 participants who lost all circulating antibodies were differentiated into antibody secreting cells (ASCs). There was a significant recall of memory B cell ASCs in the absence of serum antibodies in 5–8 of the 10 vaccinated participants, but not in any of the 3 infected participants, suggesting a strong connection between antibody levels and the effectiveness of memory B cell recall.
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Wong MK, Liu JT, Budylowksi P, Yue FY, Li Z, Rini JM, Carlyle JR, Zia A, Ostrowski M, Martin A. Convergent CDR3 homology amongst Spike-specific antibody responses in convalescent COVID-19 subjects receiving the BNT162b2 vaccine. Clin Immunol 2022; 237:108963. [PMID: 35259543 PMCID: PMC8897198 DOI: 10.1016/j.clim.2022.108963] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 02/25/2022] [Accepted: 03/01/2022] [Indexed: 01/04/2023]
Abstract
Convalescent coronavirus disease 2019 (COVID-19) subjects who receive BNT162b2 develop robust antibody responses against SARS-CoV-2. However, our understanding of the clonal B cell response pre- and post-vaccination in such individuals is limited. Here we characterized B cell phenotypes and the BCR repertoire after BNT162b2 immunization in two convalescent COVID-19 subjects. BNT162b2 stimulated many B cell clones that were under-represented during SARS-CoV-2 infection. In addition, the vaccine generated B cell clusters with >65% similarity in CDR3 VH and VL region consensus sequences both within and between subjects. This result suggests that the CDR3 region plays a dominant role adjacent to heavy and light chain V/J pairing in the recognition of the SARS-CoV-2 spike protein. Antigen-specific B cell populations with homology to published SARS-CoV-2 antibody sequences from the CoV-AbDab database were observed in both subjects. These results point towards the development of convergent antibody responses against the virus in different individuals.
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Affiliation(s)
- Matthew K Wong
- Department of Immunology, University of Toronto, Toronto, Ontario, Canada
| | - Jun T Liu
- Department of Laboratory Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Patrick Budylowksi
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
| | - Feng Yun Yue
- Department of Laboratory Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Zhijie Li
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada
| | - James M Rini
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada; Department of Biochemistry, University of Toronto, Toronto, Ontario, Canada
| | - James R Carlyle
- Department of Immunology, University of Toronto, Toronto, Ontario, Canada
| | - Amin Zia
- dYcode Bio, Toronto, Ontario, Canada
| | - Mario Ostrowski
- Department of Immunology, University of Toronto, Toronto, Ontario, Canada; Department of Medicine, University of Toronto; Toronto, ON, Canada; Keenan Research Centre for Biomedical Science of St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada.
| | - Alberto Martin
- Department of Immunology, University of Toronto, Toronto, Ontario, Canada.
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Lei Y, Meng Y, Guo X, Ning K, Bian Y, Li L, Hu Z, Anashkina AA, Jiang Q, Dong Y, Zhu X. Overview of structural variation calling: Simulation, identification, and visualization. Comput Biol Med 2022; 145:105534. [DOI: 10.1016/j.compbiomed.2022.105534] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2022] [Revised: 04/09/2022] [Accepted: 04/14/2022] [Indexed: 12/11/2022]
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Cheng R, Xu Z, Luo M, Wang P, Cao H, Jin X, Zhou W, Xiao L, Jiang Q. Identification of alternative splicing-derived cancer neoantigens for mRNA vaccine development. Brief Bioinform 2022; 23:bbab553. [PMID: 35279714 DOI: 10.1093/bib/bbab553] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Revised: 11/15/2021] [Accepted: 12/02/2021] [Indexed: 12/17/2023] Open
Abstract
Messenger RNA (mRNA) vaccines have shown great potential for anti-tumor therapy due to the advantages in safety, efficacy and industrial production. However, it remains a challenge to identify suitable cancer neoantigens that can be targeted for mRNA vaccines. Abnormal alternative splicing occurs in a variety of tumors, which may result in the translation of abnormal transcripts into tumor-specific proteins. High-throughput technologies make it possible for systematic characterization of alternative splicing as a source of suitable target neoantigens for mRNA vaccine development. Here, we summarized difficulties and challenges for identifying alternative splicing-derived cancer neoantigens from RNA-seq data and proposed a conceptual framework for designing personalized mRNA vaccines based on alternative splicing-derived cancer neoantigens. In addition, several points were presented to spark further discussion toward improving the identification of alternative splicing-derived cancer neoantigens.
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Affiliation(s)
- Rui Cheng
- Harbin Institute of Technology, China
| | | | - Meng Luo
- Harbin Institute of Technology, China
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Zhou W, Xu C, Wang P, Anashkina AA, Jiang Q. Impact of mutations in SARS-COV-2 spike on viral infectivity and antigenicity. Brief Bioinform 2022; 23:bbab375. [PMID: 34518867 PMCID: PMC8499914 DOI: 10.1093/bib/bbab375] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Revised: 08/09/2021] [Accepted: 08/23/2021] [Indexed: 12/23/2022] Open
Abstract
Since the outbreak of SARS-CoV-2, the etiologic agent of the COVID-19 pandemic, the viral genome has acquired numerous mutations with the potential to alter the viral infectivity and antigenicity. Part of mutations in SARS-CoV-2 spike protein has conferred virus the ability to spread more quickly and escape from the immune response caused by the monoclonal neutralizing antibody or vaccination. Herein, we summarize the spatiotemporal distribution of mutations in spike protein, and present recent efforts and progress in investigating the impacts of those mutations on viral infectivity and antigenicity. As mutations continue to emerge in SARS-CoV-2, we strive to provide systematic evaluation of mutations in spike protein, which is vitally important for the subsequent improvement of vaccine and therapeutic neutralizing antibody strategies.
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Affiliation(s)
- Wenyang Zhou
- School of Life Science and Technology, Harbin Institute of Technology, Harbin 150000, China
| | - Chang Xu
- School of Life Science and Technology, Harbin Institute of Technology, Harbin 150000, China
| | - Pingping Wang
- School of Life Science and Technology, Harbin Institute of Technology, Harbin 150000, China
| | | | - Qinghua Jiang
- School of Life Science and Technology, Harbin Institute of Technology, Harbin 150000, China
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Pan T, Cao G, Tang E, Zhao Y, Penaloza-MacMaster P, Fang Y, Huang J. A single-cell atlas reveals shared and distinct immune responses and metabolism during SARS-CoV-2 and HIV-1 infections. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2022:2022.01.10.475725. [PMID: 35043114 PMCID: PMC8764725 DOI: 10.1101/2022.01.10.475725] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
UNLABELLED SARS-CoV-2 and HIV-1 are RNA viruses that have killed millions of people worldwide. Understanding the similarities and differences between these two infections is critical for understanding disease progression and for developing effective vaccines and therapies, particularly for 38 million HIV-1 + individuals who are vulnerable to SARS-CoV-2 co-infection. Here, we utilized single-cell transcriptomics to perform a systematic comparison of 94,442 PBMCs from 7 COVID-19 and 9 HIV-1 + patients in an integrated immune atlas, in which 27 different cell types were identified using an accurate consensus single-cell annotation method. While immune cells in both cohorts show shared inflammation and disrupted mitochondrial function, COVID-19 patients exhibit stronger humoral immunity, broader IFN-I signaling, elevated Rho GTPase and mTOR pathway activities, and downregulated mitophagy. Our results elucidate transcriptional signatures associated with COVID-19 and HIV-1 that may reveal insights into fundamental disease biology and potential therapeutic targets to treat these viral infections. HIGHLIGHTS COVID-19 and HIV-1 + patients show disease-specific inflammatory immune signatures COVID-19 patients show more productive humoral responses than HIV-1 + patients SARS-CoV-2 elicits more enriched IFN-I signaling relative to HIV-IDivergent, impaired metabolic programs distinguish SARS-CoV-2 and HIV-1 infections.
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