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Sheetikov SA, Khmelevskaya AA, Zornikova KV, Zvyagin IV, Shomuradova AS, Serdyuk YV, Shakirova NT, Peshkova IO, Titov A, Romaniuk DS, Shagina IA, Chudakov DM, Kiryukhin DO, Shcherbakova OV, Khamaganova EG, Dzutseva V, Afanasiev A, Bogolyubova AV, Efimov GA. Clonal structure and the specificity of vaccine-induced T cell response to SARS-CoV-2 Spike protein. Front Immunol 2024; 15:1369436. [PMID: 38629062 PMCID: PMC11018901 DOI: 10.3389/fimmu.2024.1369436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Accepted: 03/19/2024] [Indexed: 04/19/2024] Open
Abstract
Adenovirus vaccines, particularly the COVID-19 Ad5-nCoV adenovirus vaccine, have emerged as promising tools in the fight against infectious diseases. In this study, we investigated the structure of the T cell response to the Spike protein of the SARS-CoV-2 virus used in the COVID-19 Ad5-nCoV adenoviral vaccine in a phase 3 clinical trial (NCT04540419). In 69 participants, we collected peripheral blood samples at four time points after vaccination or placebo injection. Sequencing of T cell receptor repertoires from Spike-stimulated T cell cultures at day 14 from 17 vaccinated revealed a more diverse CD4+ T cell repertoire compared to CD8+. Nevertheless, CD8+ clonotypes accounted for more than half of the Spike-specific repertoire. Our longitudinal analysis showed a peak T cell response at day 14, followed by a decline until month 6. Remarkably, multiple T cell clonotypes persisted for at least 6 months after vaccination, as demonstrated by ex vivo stimulation. Examination of CDR3 regions revealed homologous sequences in both CD4+ and CD8+ clonotypes, with major CD8+ clonotypes sharing high similarity with annotated sequences specific for the NYNYLYRLF peptide, suggesting potential immunodominance. In conclusion, our study demonstrates the immunogenicity of the Ad5-nCoV adenoviral vaccine and highlights its ability to induce robust and durable T cell responses. These findings provide valuable insight into the efficacy of the vaccine against COVID-19 and provide critical information for ongoing efforts to control infectious diseases.
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Affiliation(s)
- Saveliy A. Sheetikov
- Laboratory of Transplantation Immunology, National Medical Research Center for Hematology, Moscow, Russia
- Faculty of Biology, Lomonosov Moscow State University, Moscow, Russia
| | - Alexandra A. Khmelevskaya
- Laboratory of Transplantation Immunology, National Medical Research Center for Hematology, Moscow, Russia
| | - Ksenia V. Zornikova
- Laboratory of Transplantation Immunology, National Medical Research Center for Hematology, Moscow, Russia
- Faculty of Biology, Lomonosov Moscow State University, Moscow, Russia
| | - Ivan V. Zvyagin
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Institute of Translational Medicine, Pirogov Russian National Research Medical University, Moscow, Russia
- Genomics of Adaptive Immunity Department, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia
| | - Alina S. Shomuradova
- Laboratory of Transplantation Immunology, National Medical Research Center for Hematology, Moscow, Russia
- Faculty of Biology, Lomonosov Moscow State University, Moscow, Russia
| | - Yana V. Serdyuk
- Laboratory of Transplantation Immunology, National Medical Research Center for Hematology, Moscow, Russia
| | - Naina T. Shakirova
- Laboratory of Transplantation Immunology, National Medical Research Center for Hematology, Moscow, Russia
| | - Iuliia O. Peshkova
- Laboratory of Transplantation Immunology, National Medical Research Center for Hematology, Moscow, Russia
| | - Aleksei Titov
- Laboratory of Transplantation Immunology, National Medical Research Center for Hematology, Moscow, Russia
| | - Dmitrii S. Romaniuk
- Laboratory of Transplantation Immunology, National Medical Research Center for Hematology, Moscow, Russia
| | - Irina A. Shagina
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Institute of Translational Medicine, Pirogov Russian National Research Medical University, Moscow, Russia
- Genomics of Adaptive Immunity Department, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia
| | - Dmitry M. Chudakov
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Institute of Translational Medicine, Pirogov Russian National Research Medical University, Moscow, Russia
- Genomics of Adaptive Immunity Department, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia
- Central European Institute of Technology, Masaryk University, Brno, Czechia
| | - Dmitry O. Kiryukhin
- Laboratory of Transplantation Immunology, National Medical Research Center for Hematology, Moscow, Russia
| | - Olga V. Shcherbakova
- Laboratory of Transplantation Immunology, National Medical Research Center for Hematology, Moscow, Russia
| | - Ekaterina G. Khamaganova
- Laboratory of Transplantation Immunology, National Medical Research Center for Hematology, Moscow, Russia
| | - Vitalina Dzutseva
- Novosibirsk State University, Medical School, Novosibirsk, Russia
- NPO Petrovax Pharm LLC, Moscow, Russia
| | | | | | - Grigory A. Efimov
- Laboratory of Transplantation Immunology, National Medical Research Center for Hematology, Moscow, Russia
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García-Vega M, Wan H, Reséndiz-Sandoval M, Hinojosa-Trujillo D, Valenzuela O, Mata-Haro V, Dehesa-Canseco F, Solís-Hernández M, Marcotte H, Pan-Hammarström Q, Hernández J. Comparative single-cell transcriptomic profile of hybrid immunity induced by adenovirus vector-based COVID-19 vaccines. Genes Immun 2024; 25:158-167. [PMID: 38570727 DOI: 10.1038/s41435-024-00270-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Revised: 03/20/2024] [Accepted: 03/25/2024] [Indexed: 04/05/2024]
Abstract
In this study, antibody response and a single-cell RNA-seq analysis were conducted on peripheral blood mononuclear cells from five different groups: naïve subjects vaccinated with AZD1222 (AZ) or Ad5-nCoV (Cso), individuals previously infected and later vaccinated (hybrid) with AZD1222 (AZ-hb) or Ad5-nCoV (Cso-hb), and those who were infected and had recovered from COVID-19 (Inf). The results showed that AZ induced more robust neutralizing antibody responses than Cso. The single-cell RNA data revealed a high frequency of memory B cells in the Cso and Cso-hb. In contrast, AZ and AZ-hb groups exhibited the highest proportion of activated naïve B cells expressing CXCR4. Transcriptomic analysis of CD4+ and CD8+ T cells demonstrated a heterogeneous response following vaccination, hybrid immunity, or natural infection. However, a single dose of Ad5-nCoV was sufficient to strongly activate CD4+ T cells (naïve and memory) expressing ANX1 and FOS, similar to the hybrid response observed with AZ. An interesting finding was the robust activation of a subset of CD8+ T cells expressing GZMB, GZMH, and IFNG genes in the Cso-hb group. Our findings suggest that both vaccines effectively stimulated the cellular immune response; however, the Ad5-nCoV induced a more robust CD8+ T-cell response in previously infected individuals.
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Affiliation(s)
- Melissa García-Vega
- Laboratorio de Inmunología, Centro de Investigación en Alimentación y Desarrollo, A.C, Hermosillo, Sonora, 83304, Mexico
| | - Hui Wan
- Division of Immunology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Solna, SE171 65, Sweden
| | - Mónica Reséndiz-Sandoval
- Laboratorio de Inmunología, Centro de Investigación en Alimentación y Desarrollo, A.C, Hermosillo, Sonora, 83304, Mexico
| | - Diana Hinojosa-Trujillo
- Laboratorio de Inmunología, Centro de Investigación en Alimentación y Desarrollo, A.C, Hermosillo, Sonora, 83304, Mexico
| | - Olivia Valenzuela
- Departamento de Ciencias Químico Biológicas, Universidad de Sonora, Hermosillo, Sonora, 83000, Mexico
| | - Verónica Mata-Haro
- Laboratorio de Inmunología, Centro de Investigación en Alimentación y Desarrollo, A.C, Hermosillo, Sonora, 83304, Mexico
| | - Freddy Dehesa-Canseco
- Comisión México-Estados Unidos para la Prevención de la Fiebre Aftosa y otras Enfermedades Exóticas de los Animales (CPA), SENASICA, SADER, Ciudad de México, 05010, Mexico
| | - Mario Solís-Hernández
- Comisión México-Estados Unidos para la Prevención de la Fiebre Aftosa y otras Enfermedades Exóticas de los Animales (CPA), SENASICA, SADER, Ciudad de México, 05010, Mexico
| | - Harold Marcotte
- Division of Immunology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Solna, SE171 65, Sweden
| | - Qiang Pan-Hammarström
- Division of Immunology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Solna, SE171 65, Sweden.
| | - Jesús Hernández
- Laboratorio de Inmunología, Centro de Investigación en Alimentación y Desarrollo, A.C, Hermosillo, Sonora, 83304, Mexico.
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3
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Kashima Y, Reteng P, Haga Y, Yamagishi J, Suzuki Y. Single-cell analytical technologies: uncovering the mechanisms behind variations in immune responses. FEBS J 2024; 291:819-831. [PMID: 36082537 DOI: 10.1111/febs.16622] [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: 06/10/2022] [Revised: 08/25/2022] [Accepted: 09/08/2022] [Indexed: 11/30/2022]
Abstract
The immune landscape varies among individuals. It determines the immune response and results in surprisingly diverse symptoms, even in response to similar external stimuli. However, the detailed mechanisms underlying such diverse immune responses have remained mostly elusive. The utilization of recently developed single-cell multimodal analysis platforms has started to answer this question. Emerging studies have elucidated several molecular networks that may explain diversity with respect to age or other factors. An elaborate interplay between inherent physical conditions and environmental conditions has been demonstrated. Furthermore, the importance of modifications by the epigenome resulting in transcriptome variation among individuals is gradually being revealed. Accordingly, epigenomes and transcriptomes are direct indicators of the medical history and dynamic interactions with environmental factors. Coronavirus disease 2019 (COVID-19) has recently become one of the most remarkable examples of the necessity of in-depth analyses of diverse responses with respect to various factors to improve treatment in severe cases and to prevent viral transmission from asymptomatic carriers. In fact, determining why some patients develop serious symptoms is still a pressing issue. Here, we review the current "state of the art" in single-cell analytical technologies and their broad applications to healthy individuals and representative diseases, including COVID-19.
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Affiliation(s)
- Yukie Kashima
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Japan
| | - Patrick Reteng
- Division of Collaboration and Education, International Institute for Zoonosis Control, Hokkaido University, Sapporo, Japan
| | - Yasuhiko Haga
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Japan
| | - Junya Yamagishi
- Division of Collaboration and Education, International Institute for Zoonosis Control, Hokkaido University, Sapporo, Japan
| | - Yutaka Suzuki
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Japan
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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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Tranter E, Frentsch M, Hütter-Krönke ML, Vuong GL, Busch D, Loyal L, Henze L, Rosnev S, Blau IW, Thiel A, Beule D, Bullinger L, Obermayer B, Na IK. Comparable CD8 + T-cell responses to SARS-CoV-2 vaccination in single-cell transcriptomics of recently allogeneic transplanted patients and healthy individuals. J Med Virol 2024; 96:e29539. [PMID: 38516755 DOI: 10.1002/jmv.29539] [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: 11/29/2023] [Revised: 03/05/2024] [Accepted: 03/06/2024] [Indexed: 03/23/2024]
Abstract
Despite extensive research on severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccination responses in healthy individuals, there is comparatively little known beyond antibody titers and T-cell responses in the vulnerable cohort of patients after allogeneic hematopoietic stem cell transplantation (ASCT). In this study, we assessed the serological response and performed longitudinal multimodal analyses including T-cell functionality and single-cell RNA sequencing combined with T cell receptor (TCR)/B cell receptor (BCR) profiling in the context of BNT162b2 vaccination in ASCT patients. In addition, these data were compared to publicly available data sets of healthy vaccinees. Protective antibody titers were achieved in 40% of patients. We identified a distorted B- and T-cell distribution, a reduced TCR diversity, and increased levels of exhaustion marker expression as possible causes for the poorer vaccine response rates in ASCT patients. Immunoglobulin heavy chain gene rearrangement after vaccination proved to be highly variable in ASCT patients. Changes in TCRα and TCRβ gene rearrangement after vaccination differed from patterns observed in healthy vaccinees. Crucially, ASCT patients elicited comparable proportions of SARS-CoV-2 vaccine-induced (VI) CD8+ T-cells, characterized by a distinct gene expression pattern that is associated with SARS-CoV-2 specificity in healthy individuals. Our study underlines the impaired immune system and thus the lower vaccine response rates in ASCT patients. However, since protective vaccine responses and VI CD8+ T-cells can be induced in part of ASCT patients, our data advocate early posttransplant vaccination due to the high risk of infection in this vulnerable group.
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Affiliation(s)
- Eva Tranter
- Medizinische Klinik m. S. Hämatologie, Onkologie und Tumorimmunologie, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Marco Frentsch
- Medizinische Klinik m. S. Hämatologie, Onkologie und Tumorimmunologie, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Charité-Universitätsmedizin Berlin, Berlin, Germany
- BIH Center for Regenerative Therapies, Berlin Institute of Health at Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Marie Luise Hütter-Krönke
- Medizinische Klinik m. S. Hämatologie, Onkologie und Tumorimmunologie, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Giang Lam Vuong
- Medizinische Klinik m. S. Hämatologie, Onkologie und Tumorimmunologie, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - David Busch
- Medizinische Klinik m. S. Hämatologie, Onkologie und Tumorimmunologie, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Lucie Loyal
- Si-M/"Der Simulierte Mensch", A Science Framework of Technische Universität Berlin and Charité-Universitätsmedizin Berlin, Berlin, Germany
- BIH Center of Immunomics-Regenerative Immunology and Aging, Berlin Institute of Health at Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Larissa Henze
- Si-M/"Der Simulierte Mensch", A Science Framework of Technische Universität Berlin and Charité-Universitätsmedizin Berlin, Berlin, Germany
- BIH Center of Immunomics-Regenerative Immunology and Aging, Berlin Institute of Health at Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Stanislav Rosnev
- Medizinische Klinik m. S. Hämatologie, Onkologie und Tumorimmunologie, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Igor-Wolfgang Blau
- Medizinische Klinik m. S. Hämatologie, Onkologie und Tumorimmunologie, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Andreas Thiel
- Si-M/"Der Simulierte Mensch", A Science Framework of Technische Universität Berlin and Charité-Universitätsmedizin Berlin, Berlin, Germany
- BIH Center of Immunomics-Regenerative Immunology and Aging, Berlin Institute of Health at Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Dieter Beule
- Core Unit Bioinformatics, Berlin Institute of Health at Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Lars Bullinger
- Medizinische Klinik m. S. Hämatologie, Onkologie und Tumorimmunologie, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Charité-Universitätsmedizin Berlin, Berlin, Germany
- German Cancer Consortium (DKTK), Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charité Universitätsmedizin Berlin, Berlin, Germany
- ECRC Experimental and Clinical Research Center, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Benedikt Obermayer
- Core Unit Bioinformatics, Berlin Institute of Health at Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Il-Kang Na
- Medizinische Klinik m. S. Hämatologie, Onkologie und Tumorimmunologie, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Charité-Universitätsmedizin Berlin, Berlin, Germany
- BIH Center for Regenerative Therapies, Berlin Institute of Health at Charité Universitätsmedizin Berlin, Berlin, Germany
- Si-M/"Der Simulierte Mensch", A Science Framework of Technische Universität Berlin and Charité-Universitätsmedizin Berlin, Berlin, Germany
- German Cancer Consortium (DKTK), Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charité Universitätsmedizin Berlin, Berlin, Germany
- ECRC Experimental and Clinical Research Center, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, Charité Universitätsmedizin Berlin, Berlin, Germany
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6
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Yang Y, Du T, Yu W, Zhou Y, Yang C, Kuang D, Wang J, Tang C, Wang H, Zhao Y, Yang H, Huang Q, Wu D, Li B, Sun Q, Liu H, Lu S, Peng X. Single-cell transcriptomic atlas of distinct early immune responses induced by SARS-CoV-2 Proto or its variants in rhesus monkey. MedComm (Beijing) 2023; 4:e432. [PMID: 38020713 PMCID: PMC10661830 DOI: 10.1002/mco2.432] [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: 07/25/2023] [Revised: 10/27/2023] [Accepted: 11/02/2023] [Indexed: 12/01/2023] Open
Abstract
Immune responses induced by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection play a critical role in the pathogenesis and outcome of coronavirus disease 2019 (COVID-19). However, the dynamic profile of immune responses postinfection by SARS-CoV-2 variants of concern (VOC) is not fully understood. In this study, peripheral blood mononuclear cells single-cell sequencing was performed to determine dynamic profiles of immune response to Prototype, Alpha, Beta, and Delta in a rhesus monkey model. Overall, all strains induced dramatic changes in both cellular subpopulations and gene expression levels at 1 day postinfection (dpi), which associated function including adaptive immune response, innate immunity, and IFN response. COVID-19-related genes revealed different gene profiles at 1 dpi among the four SARS-CoV-2 strains, including genes reported in COVID-19 patients with increased risk of autoimmune disease and rheumatic diseases. Delta-infected animal showed inhibition of translation pathway. B cells, T cells, and monocytes showed much commonality rather than specificity among the four strains. Monocytes were the major responders to SARS-CoV-2 infection, and the response lasted longer in Alpha than the other strains. Thus, this study reveals the early immune responses induced by SARS-CoV-2 Proto or its variants in nonhuman primates, which is important information for controlling rapidly evolving viruses.
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Affiliation(s)
- Yun Yang
- National Kunming High‐level Biosafety Primate Research Center, Institute of Medical BiologyChinese Academy of Medical Sciences and Peking Union Medical SchoolKunmingChina
| | - Tingfu Du
- National Kunming High‐level Biosafety Primate Research Center, Institute of Medical BiologyChinese Academy of Medical Sciences and Peking Union Medical SchoolKunmingChina
| | - Wenhai Yu
- National Kunming High‐level Biosafety Primate Research Center, Institute of Medical BiologyChinese Academy of Medical Sciences and Peking Union Medical SchoolKunmingChina
| | - Yanan Zhou
- National Kunming High‐level Biosafety Primate Research Center, Institute of Medical BiologyChinese Academy of Medical Sciences and Peking Union Medical SchoolKunmingChina
| | - Chengyun Yang
- National Kunming High‐level Biosafety Primate Research Center, Institute of Medical BiologyChinese Academy of Medical Sciences and Peking Union Medical SchoolKunmingChina
| | - Dexuan Kuang
- National Kunming High‐level Biosafety Primate Research Center, Institute of Medical BiologyChinese Academy of Medical Sciences and Peking Union Medical SchoolKunmingChina
| | - Junbin Wang
- National Kunming High‐level Biosafety Primate Research Center, Institute of Medical BiologyChinese Academy of Medical Sciences and Peking Union Medical SchoolKunmingChina
| | - Cong Tang
- National Kunming High‐level Biosafety Primate Research Center, Institute of Medical BiologyChinese Academy of Medical Sciences and Peking Union Medical SchoolKunmingChina
| | - Haixuan Wang
- National Kunming High‐level Biosafety Primate Research Center, Institute of Medical BiologyChinese Academy of Medical Sciences and Peking Union Medical SchoolKunmingChina
| | - Yuan Zhao
- National Kunming High‐level Biosafety Primate Research Center, Institute of Medical BiologyChinese Academy of Medical Sciences and Peking Union Medical SchoolKunmingChina
| | - Hao Yang
- National Kunming High‐level Biosafety Primate Research Center, Institute of Medical BiologyChinese Academy of Medical Sciences and Peking Union Medical SchoolKunmingChina
| | - Qing Huang
- National Kunming High‐level Biosafety Primate Research Center, Institute of Medical BiologyChinese Academy of Medical Sciences and Peking Union Medical SchoolKunmingChina
| | - Daoju Wu
- National Kunming High‐level Biosafety Primate Research Center, Institute of Medical BiologyChinese Academy of Medical Sciences and Peking Union Medical SchoolKunmingChina
| | - Bai Li
- National Kunming High‐level Biosafety Primate Research Center, Institute of Medical BiologyChinese Academy of Medical Sciences and Peking Union Medical SchoolKunmingChina
| | - Qiangming Sun
- National Kunming High‐level Biosafety Primate Research Center, Institute of Medical BiologyChinese Academy of Medical Sciences and Peking Union Medical SchoolKunmingChina
- Key Laboratory of Pathogen Infection Prevention and Control (Peking Union Medical College)Ministry of EducationBeijingChina
| | - Hongqi Liu
- National Kunming High‐level Biosafety Primate Research Center, Institute of Medical BiologyChinese Academy of Medical Sciences and Peking Union Medical SchoolKunmingChina
- Key Laboratory of Pathogen Infection Prevention and Control (Peking Union Medical College)Ministry of EducationBeijingChina
| | - Shuaiyao Lu
- National Kunming High‐level Biosafety Primate Research Center, Institute of Medical BiologyChinese Academy of Medical Sciences and Peking Union Medical SchoolKunmingChina
- Key Laboratory of Pathogen Infection Prevention and Control (Peking Union Medical College)Ministry of EducationBeijingChina
| | - Xiaozhong Peng
- National Kunming High‐level Biosafety Primate Research Center, Institute of Medical BiologyChinese Academy of Medical Sciences and Peking Union Medical SchoolKunmingChina
- Key Laboratory of Pathogen Infection Prevention and Control (Peking Union Medical College)Ministry of EducationBeijingChina
- State Key Laboratory of Medical Molecular BiologyDepartment of Molecular Biology and BiochemistryInstitute of Basic Medical SciencesMedical Primate Research CenterNeuroscience CenterChinese Academy of Medical SciencesSchool of Basic MedicinePeking Union Medical CollegeBeijingChina
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7
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Dou X, Peng M, Jiang R, Li W, Zhang X. Upregulated CD8 + MAIT cell differentiation and KLRD1 gene expression after inactivated SARS-CoV-2 vaccination identified by single-cell sequencing. Front Immunol 2023; 14:1174406. [PMID: 37654490 PMCID: PMC10466403 DOI: 10.3389/fimmu.2023.1174406] [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: 02/26/2023] [Accepted: 06/30/2023] [Indexed: 09/02/2023] Open
Abstract
Background The primary strategy for reducing the incidence of COVID-19 is SARS-CoV-2 vaccination. Few studies have explored T cell subset differentiation and gene expressions induced by SARS-CoV-2 vaccines. Our study aimed to analyze T cell dynamics and transcriptome gene expression after inoculation with an inactivated SARS-CoV-2 vaccine by using single-cell sequencing. Methods Single-cell sequencing was performed after peripheral blood mononuclear cells were extracted from three participants at four time points during the inactivated SARS-CoV-2 vaccination process. After library preparation, raw read data analysis, quality control, dimension reduction and clustering, single-cell T cell receptor (TCR) sequencing, TCR V(D)J sequencing, cell differentiation trajectory inference, differentially expressed genes, and pathway enrichment were analyzed to explore the characteristics and mechanisms of postvaccination immunodynamics. Results Inactivated SARS-CoV-2 vaccination promoted T cell proliferation, TCR clone amplification, and TCR diversity. The proliferation and differentiation of CD8+ mucosal-associated invariant T (MAIT) cells were significantly upregulated, as were KLRD1 gene expression and the two pathways of nuclear-transcribed mRNA catabolic process, nonsense-mediated decay, and translational initiation. Conclusion Upregulation of CD8+ MAIT cell differentiation and KLRD1 expression after inactivated SARS-CoV-2 vaccination was demonstrated by single-cell sequencing. We conclude that the inactivated SARS-CoV-2 vaccine elicits adaptive T cell immunity to enhance early immunity and rapid response to the targeted virus.
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Affiliation(s)
- Xiaowen Dou
- Medical Laboratory of the Third Affiliated Hospital of Shenzhen University, Shenzhen, China
| | - Mian Peng
- Department of Critical Care Medicine, The Third Affiliated Hospital of Shenzhen University, Shenzhen, China
| | - Ruiwei Jiang
- Medical Laboratory of the Third Affiliated Hospital of Shenzhen University, Shenzhen, China
| | - Weiqin Li
- Department of Critical Care Medicine, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Xiuming Zhang
- Medical Laboratory of the Third Affiliated Hospital of Shenzhen University, Shenzhen, China
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8
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Maurya R, Shamim U, Mishra P, Swaminathan A, Raina A, Tarai B, Budhiraja S, Pandey R. Intertwined Dysregulation of Ribosomal Proteins and Immune Response Delineates SARS-CoV-2 Vaccination Breakthroughs. Microbiol Spectr 2023; 11:e0429222. [PMID: 37022180 PMCID: PMC10269832 DOI: 10.1128/spectrum.04292-22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Accepted: 03/14/2023] [Indexed: 04/07/2023] Open
Abstract
Globally, COVID-19 vaccines have emerged as a boon, especially during the severe pandemic phases to control the spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections, saving millions of lives. However, mixed responses to vaccination with breakthrough challenges provided a rationale to explore the immune responses generated postvaccination, which plausibly alter the subsequent course of infection. In this regard, we comprehensively profiled the nasopharyngeal transcriptomic signature of double-dose-vaccinated individuals with breakthrough infections in comparison to unvaccinated infected persons. The vaccinated individuals demonstrated a gross downregulation of ribosomal proteins along with immune response genes and transcription/translational machinery that methodically modulated the entire innate immune landscape toward immune tolerance, a feature of innate immune memory. This coordinated response was orchestrated through 17 transcription factors captured as differentially expressed in the vaccination breakthroughs, including epigenetic modulators of CHD1 and LMNB1 and several immune response effectors, with ELF1 emerging as one of the important transcriptional regulators of the antiviral innate immune response. Deconvolution algorithm using bulk gene expression data revealed decreased T-cell populations with higher expression of memory B cells in the vaccination breakthroughs. Thus, vaccination might synergize the innate immune response with humoral and T-cell correlates of protection to more rapidly clear SARS-CoV-2 infections and reduce symptoms within a shorter span of time. An important feature invariably noted after secondary vaccination is downregulation of ribosomal proteins, which might plausibly be an important factor arising from epigenetic reprogramming leading to innate immune tolerance. IMPORTANCE The development of multiple vaccines against SARS-CoV-2 infection is an unprecedented milestone achieved globally. Immunization of the mass population is a rigorous process for getting the pandemic under control, yet continuous challenges are being faced, one of them being breakthrough infections. This is the first study wherein the vaccination breakthrough cases of COVD-19 relative to unvaccinated infected individuals have been explored. In the context of vaccination, how do innate and adaptive immune responses correspond to SARS-CoV-2 infection? How do these responses culminate in a milder observable phenotype with shorter hospital stay in vaccination breakthrough cases compared with the unvaccinated? We identified a subdued transcriptional landscape in vaccination breakthroughs with decreased expression of a large set of immune and ribosomal proteins genes. We propose a module of innate immune memory, i.e., immune tolerance, which plausibly helps to explain the observed mild phenotype and fast recovery in vaccination breakthroughs.
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Affiliation(s)
- Ranjeet Maurya
- Division of Immunology and Infectious Disease Biology, INtegrative GENomics of HOst-PathogEn (INGEN-HOPE) laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
| | - Uzma Shamim
- Division of Immunology and Infectious Disease Biology, INtegrative GENomics of HOst-PathogEn (INGEN-HOPE) laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi, India
| | - Pallavi Mishra
- Division of Immunology and Infectious Disease Biology, INtegrative GENomics of HOst-PathogEn (INGEN-HOPE) laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi, India
| | - Aparna Swaminathan
- Division of Immunology and Infectious Disease Biology, INtegrative GENomics of HOst-PathogEn (INGEN-HOPE) laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi, India
| | - Aakarshan Raina
- Division of Immunology and Infectious Disease Biology, INtegrative GENomics of HOst-PathogEn (INGEN-HOPE) laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi, India
| | | | | | - Rajesh Pandey
- Division of Immunology and Infectious Disease Biology, INtegrative GENomics of HOst-PathogEn (INGEN-HOPE) laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
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9
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Tong R, Luo L, Zhao Y, Sun M, Li R, Zhong J, Chen Y, Hu L, Li Z, Shi J, Lyu Y, Hu L, Guo X, Liu Q, Shuang T, Zhang C, Yuan A, Sun L, Zhang Z, Qian K, Chen L, Lin W, Chen AF, Wang F, Pu J. Characterizing the cellular and molecular variabilities of peripheral immune cells in healthy recipients of BBIBP-CorV inactivated SARS-CoV-2 vaccine by single-cell RNA sequencing. Emerg Microbes Infect 2023; 12:e2187245. [PMID: 36987861 PMCID: PMC10171127 DOI: 10.1080/22221751.2023.2187245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/30/2023]
Abstract
Over 3 billion doses of inactivated vaccines for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have been administered globally. However, our understanding of the immune cell functional transcription and T cell receptor (TCR)/B cell receptor (BCR) repertoire dynamics following inactivated SARS-CoV-2 vaccination remains poorly understood. Here, we performed single-cell RNA and TCR/BCR sequencing on peripheral blood mononuclear cells at four time points after immunization with the inactivated SARS-CoV-2 vaccine BBIBP-CorV. Our analysis revealed an enrichment of monocytes, central memory CD4+ T cells, type 2 helper T cells and memory B cells following vaccination. Single-cell TCR-seq and RNA-seq comminating analysis identified a clonal expansion of CD4+ T cells (but not CD8+ T cells) following a booster vaccination that corresponded to a decrease in the TCR diversity of central memory CD4+ T cells and type 2 helper T cells. Importantly, these TCR repertoire changes and CD4+ T cell differentiation were correlated with the biased VJ gene usage of BCR and the antibody-producing function of B cells post-vaccination. Finally, we compared the functional transcription and repertoire dynamics in immune cells elicited by vaccination and SARS-CoV-2 infection to explore the immune responses under different stimuli. Our data provide novel molecular and cellular evidence for the CD4+ T cell-dependent antibody response induced by inactivated vaccine BBIBP-CorV. This information is urgently needed to develop new prevention and control strategies for SARS-CoV-2 infection. (ClinicalTrials.gov Identifier: NCT04871932).Trial registration: ClinicalTrials.gov identifier: NCT04871932..
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10
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Li J, Huang F, Ma Q, Guo W, Feng K, Huang T, Cai YD. Identification of genes related to immune enhancement caused by heterologous ChAdOx1-BNT162b2 vaccines in lymphocytes at single-cell resolution with machine learning methods. Front Immunol 2023; 14:1131051. [PMID: 36936955 PMCID: PMC10017451 DOI: 10.3389/fimmu.2023.1131051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Accepted: 02/13/2023] [Indexed: 03/06/2023] Open
Abstract
The widely used ChAdOx1 nCoV-19 (ChAd) vector and BNT162b2 (BNT) mRNA vaccines have been shown to induce robust immune responses. Recent studies demonstrated that the immune responses of people who received one dose of ChAdOx1 and one dose of BNT were better than those of people who received vaccines with two homologous ChAdOx1 or two BNT doses. However, how heterologous vaccines function has not been extensively investigated. In this study, single-cell RNA sequencing data from three classes of samples: volunteers vaccinated with heterologous ChAdOx1-BNT and volunteers vaccinated with homologous ChAd-ChAd and BNT-BNT vaccinations after 7 days were divided into three types of immune cells (3654 B, 8212 CD4+ T, and 5608 CD8+ T cells). To identify differences in gene expression in various cell types induced by vaccines administered through different vaccination strategies, multiple advanced feature selection methods (max-relevance and min-redundancy, Monte Carlo feature selection, least absolute shrinkage and selection operator, light gradient boosting machine, and permutation feature importance) and classification algorithms (decision tree and random forest) were integrated into a computational framework. Feature selection methods were in charge of analyzing the importance of gene features, yielding multiple gene lists. These lists were fed into incremental feature selection, incorporating decision tree and random forest, to extract essential genes, classification rules and build efficient classifiers. Highly ranked genes include PLCG2, whose differential expression is important to the B cell immune pathway and is positively correlated with immune cells, such as CD8+ T cells, and B2M, which is associated with thymic T cell differentiation. This study gave an important contribution to the mechanistic explanation of results showing the stronger immune response of a heterologous ChAdOx1-BNT vaccination schedule than two doses of either BNT or ChAdOx1, offering a theoretical foundation for vaccine modification.
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Affiliation(s)
- Jing Li
- School of Computer Science, Baicheng Normal University, Baicheng, Jilin, China
| | - FeiMing Huang
- School of Life Sciences, Shanghai University, Shanghai, China
| | - QingLan Ma
- School of Life Sciences, Shanghai University, Shanghai, China
| | - Wei Guo
- Key Laboratory of Stem Cell Biology, Shanghai Jiao Tong University School of Medicine (SJTUSM) and Shanghai Institutes for Biological Sciences (SIBS), Chinese Academy of Sciences (CAS), Shanghai, China
| | - KaiYan Feng
- Department of Computer Science, Guangdong AIB Polytechnic College, Guangzhou, China
| | - Tao Huang
- CAS Key Laboratory of Computational Biology, Bio-Med Big Data Center, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Science, Shanghai, China
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Yu-Dong Cai
- School of Life Sciences, Shanghai University, Shanghai, China
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11
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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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12
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Hu K, Liu H, Lawson ND, Zhu LJ. scATACpipe: A nextflow pipeline for comprehensive and reproducible analyses of single cell ATAC-seq data. Front Cell Dev Biol 2022; 10:981859. [PMID: 36238687 PMCID: PMC9551270 DOI: 10.3389/fcell.2022.981859] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Accepted: 09/12/2022] [Indexed: 11/13/2022] Open
Abstract
Single cell ATAC-seq (scATAC-seq) has become the most widely used method for profiling open chromatin landscape of heterogeneous cell populations at a single-cell resolution. Although numerous software tools and pipelines have been developed, an easy-to-use, scalable, reproducible, and comprehensive pipeline for scATAC-seq data analyses is still lacking. To fill this gap, we developed scATACpipe, a Nextflow pipeline, for performing comprehensive analyses of scATAC-seq data including extensive quality assessment, preprocessing, dimension reduction, clustering, peak calling, differential accessibility inference, integration with scRNA-seq data, transcription factor activity and footprinting analysis, co-accessibility inference, and cell trajectory prediction. scATACpipe enables users to perform the end-to-end analysis of scATAC-seq data with three sub-workflow options for preprocessing that leverage 10x Genomics Cell Ranger ATAC software, the ultra-fast Chromap procedures, and a set of custom scripts implementing current best practices for scATAC-seq data preprocessing. The pipeline extends the R package ArchR for downstream analysis with added support to any eukaryotic species with an annotated reference genome. Importantly, scATACpipe generates an all-in-one HTML report for the entire analysis and outputs cluster-specific BAM, BED, and BigWig files for visualization in a genome browser. scATACpipe eliminates the need for users to chain different tools together and facilitates reproducible and comprehensive analyses of scATAC-seq data from raw reads to various biological insights with minimal changes of configuration settings for different computing environments or species. By applying it to public datasets, we illustrated the utility, flexibility, versatility, and reliability of our pipeline, and demonstrated that our scATACpipe outperforms other workflows.
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Affiliation(s)
- Kai Hu
- Department of Molecular, Cell and Cancer Biology, University of Massachusetts Chan Medical School, Worcester, MA, United States
| | - Haibo Liu
- Department of Molecular, Cell and Cancer Biology, University of Massachusetts Chan Medical School, Worcester, MA, United States
| | - Nathan D. Lawson
- Department of Molecular, Cell and Cancer Biology, University of Massachusetts Chan Medical School, Worcester, MA, United States
| | - Lihua Julie Zhu
- Department of Molecular, Cell and Cancer Biology, University of Massachusetts Chan Medical School, Worcester, MA, United States
- Program in Molecular Medicine, Program in Bioinformatics and Integrative Biology, University of Massachusetts Chan Medical School, Worcester, MA, United States
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13
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Qi F, Cao Y, Zhang S, Zhang Z. Single-cell analysis of the adaptive immune response to SARS-CoV-2 infection and vaccination. Front Immunol 2022; 13:964976. [PMID: 36119105 PMCID: PMC9478577 DOI: 10.3389/fimmu.2022.964976] [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: 06/09/2022] [Accepted: 08/10/2022] [Indexed: 12/04/2022] Open
Abstract
Amid the ongoing Coronavirus Disease 2019 (COVID-19) pandemic, vaccination and early therapeutic interventions are the most effective means to combat and control the severity of the disease. Host immune responses to SARS-CoV-2 and its variants, particularly adaptive immune responses, should be fully understood to develop improved strategies to implement these measures. Single-cell multi-omic technologies, including flow cytometry, single-cell transcriptomics, and single-cell T-cell receptor (TCR) and B-cell receptor (BCR) profiling, offer a better solution to examine the protective or pathological immune responses and molecular mechanisms associated with SARS-CoV-2 infection, thus providing crucial support for the development of vaccines and therapeutics for COVID-19. Recent reviews have revealed the overall immune landscape of natural SARS-CoV-2 infection, and this review will focus on adaptive immune responses (including T cells and B cells) to SARS-CoV-2 revealed by single-cell multi-omics technologies. In addition, we explore how the single-cell analyses disclose the critical components of immune protection and pathogenesis during SARS-CoV-2 infection through the comparison between the adaptive immune responses induced by natural infection and by vaccination.
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Affiliation(s)
- Furong Qi
- Institute for Hepatology, National Clinical Research Center for Infectious Disease, Shenzhen Third People’s Hospital, The Second Affiliated Hospital, School of Medicine, Southern University of Science and Technology, Shenzhen, China
- Shenzhen Key Laboratory of Single-Cell Omics Reasearch and Application, Shenzhen, China
| | - Yingyin Cao
- Institute for Hepatology, National Clinical Research Center for Infectious Disease, Shenzhen Third People’s Hospital, The Second Affiliated Hospital, School of Medicine, Southern University of Science and Technology, Shenzhen, China
| | - Shuye Zhang
- Clinical Center for BioTherapy and Institutes of Biomedical Sciences, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Zheng Zhang
- Institute for Hepatology, National Clinical Research Center for Infectious Disease, Shenzhen Third People’s Hospital, The Second Affiliated Hospital, School of Medicine, Southern University of Science and Technology, Shenzhen, China
- Shenzhen Key Laboratory of Single-Cell Omics Reasearch and Application, Shenzhen, China
- Shenzhen Research Center for Communicable Disease Diagnosis and Treatment of Chinese Academy of Medical Science, Shenzhen, China
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14
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Khoshnood S, Ghanavati R, Shirani M, Ghahramanpour H, Sholeh M, Shariati A, Sadeghifard N, Heidary M. Viral vector and nucleic acid vaccines against COVID-19: A narrative review. Front Microbiol 2022; 13:984536. [PMID: 36118203 PMCID: PMC9470835 DOI: 10.3389/fmicb.2022.984536] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2022] [Accepted: 08/12/2022] [Indexed: 12/14/2022] Open
Abstract
After about 2 years since the first detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections in Wuhan, China, in December 2019 that resulted in a worldwide pandemic, 6.2 million deaths have been recorded. As a result, there is an urgent need for the development of a safe and effective vaccine for coronavirus disease 2019 (COVID-19). Endeavors for the production of effective vaccines inexhaustibly are continuing. At present according to the World Health Organization (WHO) COVID-19 vaccine tracker and landscape, 153 vaccine candidates are developing in the clinical phase all over the world. Some new and exciting platforms are nucleic acid-based vaccines such as Pfizer Biontech and Moderna vaccines consisting of a messenger RNA (mRNA) encoding a viral spike protein in host cells. Another novel vaccine platform is viral vector vaccine candidates that could be replicating or nonreplicating. These types of vaccines that have a harmless viral vector like adenovirus contain a genome encoding the spike protein of SARS-CoV-2, which induces significant immune responses. This technology of vaccine manufacturing has previously been used in many human clinical trials conducted for adenoviral vector-based vaccines against different infectious agents, including Ebola virus, Zika virus, HIV, and malaria. In this paper, we have a review of nucleic acid-based vaccines that are passing their phase 3 and 4 clinical trials and discuss their efficiency and adverse effects.
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Affiliation(s)
- Saeed Khoshnood
- Clinical Microbiology Research Center, Ilam University of Medical Sciences, Ilam, Iran
- Student Research Committee, Ilam University of Medical Sciences, Ilam, Iran
| | - Roya Ghanavati
- School of Paramedical Sciences, Behbahan Faculty of Medical Sciences, Behbahan, Iran
| | - Maryam Shirani
- Toxicology Research Center, Medical Basic Sciences Research Institute, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Hossein Ghahramanpour
- Department of Bacteriology, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran
| | - Mohammad Sholeh
- Department of Microbiology, Pasteur Institute of Iran, Tehran, Iran
| | - Aref Shariati
- Molecular and Medicine Research Center, Khomein University of Medical Sciences, Khomein, Iran
| | - Nourkhoda Sadeghifard
- Clinical Microbiology Research Center, Ilam University of Medical Sciences, Ilam, Iran
| | - Mohsen Heidary
- Department of Laboratory Sciences, School of Paramedical Sciences, Sabzevar University of Medical Sciences, Sabzevar, Iran
- Cellular and Molecular Research Center, Sabzevar University of Medical Sciences, Sabzevar, Iran
- *Correspondence: Mohsen Heidary,
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15
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Peng L, Fang Z, Renauer PA, McNamara A, Park JJ, Lin Q, Zhou X, Dong MB, Zhu B, Zhao H, Wilen CB, Chen S. Multiplexed LNP-mRNA vaccination against pathogenic coronavirus species. Cell Rep 2022; 40:111160. [PMID: 35921835 PMCID: PMC9294034 DOI: 10.1016/j.celrep.2022.111160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 05/07/2022] [Accepted: 07/13/2022] [Indexed: 12/02/2022] Open
Abstract
Although COVID-19 vaccines have been developed, multiple pathogenic coronavirus species exist, urging on development of multispecies coronavirus vaccines. Here we develop prototype lipid nanoparticle (LNP)-mRNA vaccine candidates against SARS-CoV-2 Delta, SARS-CoV, and MERS-CoV, and we test how multiplexing LNP-mRNAs can induce effective immune responses in animal models. Triplex and duplex LNP-mRNA vaccinations induce antigen-specific antibody responses against SARS-CoV-2, SARS-CoV, and MERS-CoV. Single-cell RNA sequencing profiles the global systemic immune repertoires and respective transcriptome signatures of vaccinated animals, revealing a systemic increase in activated B cells and differential gene expression across major adaptive immune cells. Sequential vaccination shows potent antibody responses against all three species, significantly stronger than simultaneous vaccination in mixture. These data demonstrate the feasibility, antibody responses, and single-cell immune profiles of multispecies coronavirus vaccination. The direct comparison between simultaneous and sequential vaccination offers insights into optimization of vaccination schedules to provide broad and potent antibody immunity against three major pathogenic coronavirus species.
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Affiliation(s)
- Lei Peng
- Department of Genetics, Yale University School of Medicine, New Haven, CT 06510, USA; System Biology Institute, Yale University, West Haven, CT 06516, USA; Center for Cancer Systems Biology, Yale University, West Haven, CT 06516, USA
| | - Zhenhao Fang
- Department of Genetics, Yale University School of Medicine, New Haven, CT 06510, USA; System Biology Institute, Yale University, West Haven, CT 06516, USA; Center for Cancer Systems Biology, Yale University, West Haven, CT 06516, USA
| | - Paul A Renauer
- Department of Genetics, Yale University School of Medicine, New Haven, CT 06510, USA; System Biology Institute, Yale University, West Haven, CT 06516, USA; Center for Cancer Systems Biology, Yale University, West Haven, CT 06516, USA; Molecular Cell Biology, Genetics and Development Program, Yale University, New Haven, CT 06516, USA
| | - Andrew McNamara
- Department of Immunobiology, Yale University, New Haven, CT 06510, USA; Department of Laboratory Medicine, Yale University, New Haven, CT 06510, USA
| | - Jonathan J Park
- Department of Genetics, Yale University School of Medicine, New Haven, CT 06510, USA; System Biology Institute, Yale University, West Haven, CT 06516, USA; Center for Cancer Systems Biology, Yale University, West Haven, CT 06516, USA; M.D.-Ph.D. Program, Yale University, West Haven, CT 06516, USA
| | - Qianqian Lin
- Department of Genetics, Yale University School of Medicine, New Haven, CT 06510, USA; System Biology Institute, Yale University, West Haven, CT 06516, USA; Center for Cancer Systems Biology, Yale University, West Haven, CT 06516, USA
| | - Xiaoyu Zhou
- Department of Genetics, Yale University School of Medicine, New Haven, CT 06510, USA; System Biology Institute, Yale University, West Haven, CT 06516, USA; Center for Cancer Systems Biology, Yale University, West Haven, CT 06516, USA
| | - Matthew B Dong
- Department of Genetics, Yale University School of Medicine, New Haven, CT 06510, USA; System Biology Institute, Yale University, West Haven, CT 06516, USA; Center for Cancer Systems Biology, Yale University, West Haven, CT 06516, USA; Department of Immunobiology, Yale University, New Haven, CT 06510, USA; M.D.-Ph.D. Program, Yale University, West Haven, CT 06516, USA; Immunobiology Program, Yale University, New Haven, CT 06510, USA
| | - Biqing Zhu
- Computational Biology and Bioinformatics Program, Yale University, New Haven, CT 06510, USA
| | - Hongyu Zhao
- Department of Genetics, Yale University School of Medicine, New Haven, CT 06510, USA; Computational Biology and Bioinformatics Program, Yale University, New Haven, CT 06510, USA; Department of Biostatistics, Yale University School of Public Health, New Haven, CT 06510, USA; Yale Center for Biomedical Data Science, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Craig B Wilen
- Department of Immunobiology, Yale University, New Haven, CT 06510, USA; Department of Laboratory Medicine, Yale University, New Haven, CT 06510, USA
| | - Sidi Chen
- Department of Genetics, Yale University School of Medicine, New Haven, CT 06510, USA; System Biology Institute, Yale University, West Haven, CT 06516, USA; Center for Cancer Systems Biology, Yale University, West Haven, CT 06516, USA; Molecular Cell Biology, Genetics and Development Program, Yale University, New Haven, CT 06516, USA; M.D.-Ph.D. Program, Yale University, West Haven, CT 06516, USA; Immunobiology Program, Yale University, New Haven, CT 06510, USA; Computational Biology and Bioinformatics Program, Yale University, New Haven, CT 06510, USA; Yale Comprehensive Cancer Center, Yale University School of Medicine, New Haven, CT 06510, USA; Yale Stem Cell Center, Yale University School of Medicine, New Haven, CT 06510, USA; Yale Center for Biomedical Data Science, Yale University School of Medicine, New Haven, CT 06510, USA.
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16
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Yang L, Weng S, Qian X, Wang M, Ying W. Strategy for Microscale Extraction and Proteome Profiling of Peripheral Blood Mononuclear Cells. Anal Chem 2022; 94:8827-8832. [PMID: 35699231 DOI: 10.1021/acs.analchem.1c05365] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Peripheral blood mononuclear cells (PBMCs) play vital roles in physiological and pathological processes and represent a rich source for disease monitoring. Typical molecular profiling on PBMCs involves the sorting of cell subsets and thus requires a large volume of peripheral blood (PB), which impedes the clinical practicability of omics tools in PBMC measurements. It would be clinically invaluable to develop a convenient approach for preparing PBMCs from small volumes of PB and for deep proteome profiling of PBMCs. To this end, here, we designed an apparatus (PBMC-mCap) for microscale enrichment and proteome analysis of PBMCs, which pushed the needed PB volume from the normal 2 mL or higher to 100 μL or lower, comparable to the volume of a drop of finger blood. A PBMC-specific mass spectra library containing 8869 proteins and 121,956 peptides was further built, which, in combination with the optimized data-independent acquisition strategy, helped to identify 6000 and 6500 proteins from PBMCs with 100 μL and 1 mL of PB as initial materials, respectively. Further application of the strategy for PBMC proteomes revealed a steady difference between gender (male vs female) and upon stimulus (COVID-19 vaccination). For the latter, we observed differentially expressed genes and pathways involving the activation of immune cells, including the NF-κB pathway, inflammation response, and antiviral response. Our strategy for the proteome analysis of microscale PBMCs may provide a convenient clinical toolkit for disease diagnosis and healthy state monitoring.
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Affiliation(s)
- Li Yang
- School of Basic Medical Science, Anhui Medical University, Hefei 230032, China.,State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing 102206, China
| | - Shuang Weng
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing 102206, China
| | - Xiaohong Qian
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing 102206, China
| | - Mingchao Wang
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing 102206, China
| | - Wantao Ying
- School of Basic Medical Science, Anhui Medical University, Hefei 230032, China.,State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing 102206, China
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17
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Alagheband Bahrami A, Azargoonjahromi A, Sadraei S, Aarabi A, Payandeh Z, Rajabibazl M. An overview of current drugs and prophylactic vaccines for coronavirus disease 2019 (COVID-19). Cell Mol Biol Lett 2022; 27:38. [PMID: 35562685 PMCID: PMC9100302 DOI: 10.1186/s11658-022-00339-3] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2022] [Accepted: 04/21/2022] [Indexed: 02/06/2023] Open
Abstract
Designing and producing an effective vaccine is the best possible way to reduce the burden and spread of a disease. During the coronavirus disease 2019 (COVID-19) pandemic, many large pharmaceutical and biotechnology companies invested a great deal of time and money in trying to control and combat the disease. In this regard, due to the urgent need, many vaccines are now available earlier than scheduled. Based on their manufacturing technology, the vaccines available for COVID-19 (severe acute respiratory syndrome coronavirus 2 (SAR-CoV2)) infection can be classified into four platforms: RNA vaccines, adenovirus vector vaccines, subunit (protein-based) vaccines, and inactivated virus vaccines. Moreover, various drugs have been deemed to negatively affect the progression of the infection via various actions. However, adaptive variants of the SARS-CoV-2 genome can alter the pathogenic potential of the virus and increase the difficulty of both drug and vaccine development. In this review, along with drugs used in COVID-19 treatment, currently authorized COVID-19 vaccines as well as variants of the virus are described and evaluated, considering all platforms.
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Affiliation(s)
- Armina Alagheband Bahrami
- Department of Biotechnology, School of Advanced Technologies in Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | | | - Samin Sadraei
- Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Aryan Aarabi
- Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Zahra Payandeh
- Department Medical Biochemistry and Biophysics, Division Medical Inflammation Research, Karolinska Institute, Stockholm, Sweden
| | - Masoumeh Rajabibazl
- Department of Clinical Biochemistry, Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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18
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Zhang Z, Shen Q, Chang H. Vaccines for COVID-19: A Systematic Review of Immunogenicity, Current Development, and Future Prospects. Front Immunol 2022; 13:843928. [PMID: 35572592 PMCID: PMC9092649 DOI: 10.3389/fimmu.2022.843928] [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: 12/27/2021] [Accepted: 03/21/2022] [Indexed: 01/09/2023] Open
Abstract
The persistent coronavirus disease 2019 (COVID-19), characterized by severe respiratory syndrome, is caused by coronavirus 2 (SARS-CoV-2), and it poses a major threat to public health all over the world. Currently, optimal COVID-19 management involves effective vaccination. Vaccination is known to greatly enhance immune response against viral infections and reduce public transmission of COVID-19. However, although current vaccines offer some benefits, viral variations and other factors demand the continuous development of vaccines to eliminate this virus from host. Hence, vaccine research and development is crucial and urgent to the elimination of this pandemic. Herein, we summarized the structural and replicatory features of SARS-CoV-2, and focused on vaccine-mediated disease prevention strategies like vaccine antigen selection, vaccine research, and vaccine application. We also evaluated the latest literature on COVID-19 and extensively reviewed action mechanisms, clinical trial (CT) progresses, advantages, as well as disadvantages of various vaccine candidates against SARS-CoV-2. Lastly, we discussed the current viral treatment, prevention trends, and future prospects.
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Affiliation(s)
- Zhan Zhang
- Ministry of Education (MOE) Key Laboratory of Laser Life Science & Institute of Laser Life Science, College of Biophotonics, South China Normal University, Guangzhou, China
| | - Qi Shen
- Ministry of Education (MOE) Key Laboratory of Laser Life Science & Institute of Laser Life Science, College of Biophotonics, South China Normal University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Laser Life Science, College of Biophotonics, South China Normal University, Guangzhou, China
| | - Haocai Chang
- Ministry of Education (MOE) Key Laboratory of Laser Life Science & Institute of Laser Life Science, College of Biophotonics, South China Normal University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Laser Life Science, College of Biophotonics, South China Normal University, Guangzhou, China
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19
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Tiyo BT, Schmitz GJH, Ortega MM, da Silva LT, de Almeida A, Oshiro TM, Duarte AJDS. What Happens to the Immune System after Vaccination or Recovery from COVID-19? Life (Basel) 2021; 11:1152. [PMID: 34833028 PMCID: PMC8619084 DOI: 10.3390/life11111152] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Revised: 10/22/2021] [Accepted: 10/26/2021] [Indexed: 12/17/2022] Open
Abstract
Due to its leading role in fighting infections, the human immune system has been the focus of many studies in the context of Coronavirus disease 2019 (COVID-19). In a worldwide effort, the scientific community has transitioned from reporting about the effects of the novel coronavirus on the human body in the early days of the pandemic to exploring the body's many immunopathological and immunoprotecting properties that have improved disease treatment and enabled the development of vaccines. The aim of this review is to explain what happens to the immune system after recovery from COVID-19 and/or vaccination against SARS-CoV-2, the virus that causes the disease. We detail the way in which the immune system responds to a SARS-CoV-2 infection, including innate and adaptive measures. Then, we describe the role of vaccination, the main types of COVID-19 vaccines and how they protect us. Further, we explain the reason why immunity after COVID-19 infection plus a vaccination appears to induce a stronger response compared with virus exposure alone. Additionally, this review reports some correlates of protection from SARS-CoV-2 infection. In conclusion, we reinforce that vaccination is safe and important in achieving herd immunity.
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