1
|
Tang X, He L, Wang X, Liu S, Liu X, Shen X, Shu Y, Yang K, Zhou Q, Shan Z, Wang Y, Wu C, Jia Z, Liu T, Wang Y, Liao HX, Xia Y. Isolation of anti-tumor monoclonal antibodies targeting on MICA/B α3 domain by single B cell technology for colon cancer therapy. Heliyon 2024; 10:e35697. [PMID: 39170144 PMCID: PMC11336886 DOI: 10.1016/j.heliyon.2024.e35697] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Revised: 07/31/2024] [Accepted: 08/01/2024] [Indexed: 08/23/2024] Open
Abstract
Colon cancer (CC) is one of the most common gastrointestinal malignancies. Effectiveness of the existing therapies is limited. Immunotherapy is a promising complementary treatment approach for CC. Major histocompatibility complex class I-related protein A and B (MICA/B) are ligands for NK cells. Shedding of MICA/B from the surface of tumor cells by cleavage of MICA/B at the membrane proxial region in MICA/B α3 structural domain is one of immune evasion strategies leading to escape of cancer cells from immunosurveillance. In this study, we generated a panel of MICA/B monoclonal antibodies (mAbs) and identified one of mAbs, mAb RDM028, that had high binding affinity to MICA/B and recognized a site on MICA/B α3 structural domain that is critically important for cleavage of MICA/B. Our study has further demonstrated that RDM028 augmented the surface expression of MICA/B on HCT-116 human CC cells by inhibiting the MICA/B shedding resulting in the enhanced cyotoxicity of NK cells against HCT-116 human CC cells and mediated anti-tumor activity in nude mouse model of colon cancer. These results indicate that mAb RDM028 could be explored for developing as an effective immuno therapy against CC by targeting the MICA/B α3 domain to promot immunosurveillance mediated by MICA/B-NKG2D interaction.
Collapse
Affiliation(s)
- Xueyi Tang
- The People's Hospital of Xishuangbanna Dai Nationality Autonomous Prefecture, Xishuangbanna Dai Nationality Autonomous Prefecture, Yunnan, China
| | - Linhai He
- The People's Hospital of Xishuangbanna Dai Nationality Autonomous Prefecture, Xishuangbanna Dai Nationality Autonomous Prefecture, Yunnan, China
| | - Xiaoli Wang
- Zhuhai Trinomab Pharmaceutical Co., Ltd, Zhuhai, Guangdong, China
| | - Shuaichao Liu
- Zhuhai Trinomab Pharmaceutical Co., Ltd, Zhuhai, Guangdong, China
- School of Life Sciences, University of Science and Technology of China, Hefei, Anhui, China
| | - Xiangning Liu
- Clinical Research Platform for Interdiscipline of Stomatology, The First Affiliated Hospital of Jinan University & Department of Stomatology, College of Stomatology, Jinan University, Guangzhou, China
| | - Xiaorui Shen
- The People's Hospital of Xishuangbanna Dai Nationality Autonomous Prefecture, Xishuangbanna Dai Nationality Autonomous Prefecture, Yunnan, China
| | - Yun Shu
- The People's Hospital of Xishuangbanna Dai Nationality Autonomous Prefecture, Xishuangbanna Dai Nationality Autonomous Prefecture, Yunnan, China
| | - Ke Yang
- The People's Hospital of Xishuangbanna Dai Nationality Autonomous Prefecture, Xishuangbanna Dai Nationality Autonomous Prefecture, Yunnan, China
| | - Qionghua Zhou
- The People's Hospital of Xishuangbanna Dai Nationality Autonomous Prefecture, Xishuangbanna Dai Nationality Autonomous Prefecture, Yunnan, China
| | - Zujian Shan
- The People's Hospital of Xishuangbanna Dai Nationality Autonomous Prefecture, Xishuangbanna Dai Nationality Autonomous Prefecture, Yunnan, China
| | - Yueming Wang
- Zhuhai Trinomab Pharmaceutical Co., Ltd, Zhuhai, Guangdong, China
| | - Changwen Wu
- Zhuhai Trinomab Pharmaceutical Co., Ltd, Zhuhai, Guangdong, China
| | - Zhenxing Jia
- Zhuhai Trinomab Pharmaceutical Co., Ltd, Zhuhai, Guangdong, China
| | - Tong Liu
- Zhuhai Trinomab Pharmaceutical Co., Ltd, Zhuhai, Guangdong, China
| | - Yayu Wang
- Zhuhai Trinomab Pharmaceutical Co., Ltd, Zhuhai, Guangdong, China
| | - Hua-Xin Liao
- Zhuhai Trinomab Pharmaceutical Co., Ltd, Zhuhai, Guangdong, China
| | - Yun Xia
- The People's Hospital of Xishuangbanna Dai Nationality Autonomous Prefecture, Xishuangbanna Dai Nationality Autonomous Prefecture, Yunnan, China
| |
Collapse
|
2
|
NK cell spatial dynamics and IgA responses in gut-associated lymphoid tissues during SIV infections. Commun Biol 2022; 5:674. [PMID: 35798936 PMCID: PMC9262959 DOI: 10.1038/s42003-022-03619-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2021] [Accepted: 06/22/2022] [Indexed: 11/18/2022] Open
Abstract
HIV infection induces tissue damage including lymph node (LN) fibrosis and intestinal epithelial barrier disruption leading to bacterial translocation and systemic inflammation. Natural hosts of SIV, such as African Green Monkeys (AGM), do not display tissue damage despite high viral load in blood and intestinal mucosa. AGM mount a NK cell-mediated control of SIVagm replication in peripheral LN. We analyzed if NK cells also control SIVagm in mesenteric (mes) LN and if this has an impact on gut humoral responses and the production of IgA known for their anti-inflammatory role in the gut. We show that CXCR5 + NK cell frequencies increase in mesLN upon SIVagm infection and that NK cells migrate into and control viral replication in B cell follicles (BCF) of mesLN. The proportion of IgA+ memory B cells were increased in mesLN during SIVagm infection in contrast to SIVmac infection. Total IgA levels in gut remained normal during SIVagm infection, while strongly decreased in intestine of chronically SIVmac-infected macaques. Our data suggest an indirect impact of NK cell-mediated viral control in mesLN during SIVagm infection on preserved BCF function and IgA production in intestinal tissues. Differences between pathogenic and non-pathogenic SIV infections are investigated, in terms of NK cell location, function and IgA responses in gut associated lymphoid tissues (mesenteric lymph nodes, jejunum, ileon, colon).
Collapse
|
3
|
Chen Y, Xiang X, Qi R, Wang Y, Huang Y, You M, Xian Y, Wu Y, Fu R, Kang C, Tang J, Yu H, Zhang T, Yuan Q, Luo W, Xia N. Novel monkey mAbs induced by a therapeutic vaccine targeting the hepatitis B surface antigen effectively suppress hepatitis B virus in mice. Antib Ther 2021; 4:197-207. [PMID: 34646979 PMCID: PMC8499627 DOI: 10.1093/abt/tbab020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Revised: 08/27/2021] [Accepted: 09/13/2021] [Indexed: 11/14/2022] Open
Abstract
Background We have previously obtained a mouse anti-hepatitis B surface antigen (HBsAg) antibody E6F6 with long-lasting serum HBsAg clearance effects. The E6F6 epitope-based protein CR-T3-SEQ13 (HBsAg aa 113-135) vaccination therapy in cynomolgus monkeys induced long-term polyclonal antibodies-mediated clearance of HBsAg in the HBV transgenic (HBV-Tg) mice. Methods We isolated monoclonal antibodies from CR-T3-SEQ13 vaccinated cynomolgus monkeys, compared their therapeutic effects with E6F6, identified their epitopes on HBsAg, determined the pharmacokinetics and studied their physical property. Results A panel of anti-HBsAg mAbs was generated through memory B cell stimulatory culture. Two lead monkey-human chimeric antibodies, C1-23 and C3-23, effectively suppressed HBsAg and HBV DNA in HBV-Tg mice. The humanized antibodies and humanized-mouse reverse chimeric antibodies of two antibodies exhibited comparable HBsAg clearance and viral suppression efficacy as those versions of E6F6 in HBV-Tg mice. Humanized antibody hu1-23 exhibited more efficacy HBsAg-suppressing effects than huE6F6-1 and hu3-23 in HBV-Tg mice at dose levels of 10 and 20 mg/kg. Evaluation of the binding sites indicates that the epitope recognized by hu1-23 is located in HBsAg aa 118-125 and 121-125 for hu3-23. Physical property study revealed that hu1-23 and hu3-23 are stable enough for further development as a drug candidate. Conclusions Our data suggest that the CR-T3-SEQ13 protein is a promising HBV therapeutic vaccine candidate, and hu1-23 and hu3-23 are therapeutic candidates for the treatment of chronic hepatitis b. Moreover, the generation of antibodies from the epitope-based vaccinated subjects may be an alternative approach for novel antibody drug discovery.
Collapse
Affiliation(s)
- Yuanzhi Chen
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health and School of Life Science, Xiamen University, Xiamen 361102, China.,National Institute of Diagnostics and Vaccine Development in Infectious Diseases, School of Public Health and School of Life Science, Xiamen University, Xiamen 361102, China
| | - Xinchu Xiang
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health and School of Life Science, Xiamen University, Xiamen 361102, China.,National Institute of Diagnostics and Vaccine Development in Infectious Diseases, School of Public Health and School of Life Science, Xiamen University, Xiamen 361102, China
| | - Ruoyao Qi
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health and School of Life Science, Xiamen University, Xiamen 361102, China.,National Institute of Diagnostics and Vaccine Development in Infectious Diseases, School of Public Health and School of Life Science, Xiamen University, Xiamen 361102, China
| | - Yiwen Wang
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health and School of Life Science, Xiamen University, Xiamen 361102, China.,National Institute of Diagnostics and Vaccine Development in Infectious Diseases, School of Public Health and School of Life Science, Xiamen University, Xiamen 361102, China
| | - Yang Huang
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health and School of Life Science, Xiamen University, Xiamen 361102, China.,National Institute of Diagnostics and Vaccine Development in Infectious Diseases, School of Public Health and School of Life Science, Xiamen University, Xiamen 361102, China
| | - Min You
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health and School of Life Science, Xiamen University, Xiamen 361102, China.,National Institute of Diagnostics and Vaccine Development in Infectious Diseases, School of Public Health and School of Life Science, Xiamen University, Xiamen 361102, China
| | - Yangfei Xian
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health and School of Life Science, Xiamen University, Xiamen 361102, China.,National Institute of Diagnostics and Vaccine Development in Infectious Diseases, School of Public Health and School of Life Science, Xiamen University, Xiamen 361102, China
| | - Yangtao Wu
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health and School of Life Science, Xiamen University, Xiamen 361102, China.,National Institute of Diagnostics and Vaccine Development in Infectious Diseases, School of Public Health and School of Life Science, Xiamen University, Xiamen 361102, China
| | - Rao Fu
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health and School of Life Science, Xiamen University, Xiamen 361102, China.,National Institute of Diagnostics and Vaccine Development in Infectious Diseases, School of Public Health and School of Life Science, Xiamen University, Xiamen 361102, China
| | - Ciming Kang
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health and School of Life Science, Xiamen University, Xiamen 361102, China.,National Institute of Diagnostics and Vaccine Development in Infectious Diseases, School of Public Health and School of Life Science, Xiamen University, Xiamen 361102, China
| | - Jixian Tang
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health and School of Life Science, Xiamen University, Xiamen 361102, China.,National Institute of Diagnostics and Vaccine Development in Infectious Diseases, School of Public Health and School of Life Science, Xiamen University, Xiamen 361102, China
| | - Hai Yu
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health and School of Life Science, Xiamen University, Xiamen 361102, China.,National Institute of Diagnostics and Vaccine Development in Infectious Diseases, School of Public Health and School of Life Science, Xiamen University, Xiamen 361102, China
| | - Tianying Zhang
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health and School of Life Science, Xiamen University, Xiamen 361102, China.,National Institute of Diagnostics and Vaccine Development in Infectious Diseases, School of Public Health and School of Life Science, Xiamen University, Xiamen 361102, China
| | - Quan Yuan
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health and School of Life Science, Xiamen University, Xiamen 361102, China.,National Institute of Diagnostics and Vaccine Development in Infectious Diseases, School of Public Health and School of Life Science, Xiamen University, Xiamen 361102, China
| | - Wenxin Luo
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health and School of Life Science, Xiamen University, Xiamen 361102, China.,National Institute of Diagnostics and Vaccine Development in Infectious Diseases, School of Public Health and School of Life Science, Xiamen University, Xiamen 361102, China
| | - Ningshao Xia
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health and School of Life Science, Xiamen University, Xiamen 361102, China.,National Institute of Diagnostics and Vaccine Development in Infectious Diseases, School of Public Health and School of Life Science, Xiamen University, Xiamen 361102, China
| |
Collapse
|
4
|
Zhang R, Prabakaran P, Yu X, Mackness BC, Boudanova E, Hopke J, Sancho J, Saleh J, Cho H, Zhang N, Simonds-Mannes H, Stimple SD, Hoffmann D, Park A, Chowdhury PS, Rao SP. A platform-agnostic, function first-based antibody discovery strategy using plasmid-free mammalian expression of antibodies. MAbs 2021; 13:1904546. [PMID: 33899674 PMCID: PMC8078661 DOI: 10.1080/19420862.2021.1904546] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Hybridoma technology has been valuable in the development of therapeutic antibodies. More recently, antigen-specific B-cell selection and display technologies are also gaining importance. A major limitation of these approaches used for antibody discovery is the extensive process of cloning and expression involved in transitioning from antibody identification to validating the function, which compromises the throughput of antibody discovery. In this study, we describe a process to identify and rapidly re-format and express antibodies for functional characterization. We used two different approaches to isolate antibodies to five different targets: 1) flow cytometry to identify antigen-specific single B cells from the spleen of immunized human immunoglobulin transgenic mice; and 2) panning of phage libraries. PCR amplification allowed recovery of paired VH and VL sequences from 79% to 96% of antigen-specific B cells. All cognate VH and VL transcripts were formatted into transcription and translation compatible linear DNA expression cassettes (LEC) encoding whole IgG or Fab. Between 92% and 100% of paired VH and VL transcripts could be converted to LECs, and nearly 100% of them expressed as antibodies when transfected into Expi293F cells. The concentration of IgG in the cell culture supernatants ranged from 0.05 µg/ml to 145.8 µg/ml (mean = 18.4 µg/ml). Antigen-specific binding was displayed by 78–100% of antibodies. High throughput functional screening allowed the rapid identification of several functional antibodies. In summary, we describe a plasmid-free system for cloning and expressing antibodies isolated by different approaches, in any format of choice for deep functional screening that can be applied in any research setting during antibody discovery.
Collapse
Affiliation(s)
- Ruijun Zhang
- Therapeutic Antibody Discovery, Sanofi Genzyme, Framingham, MA, USA
| | | | - Xiaocong Yu
- Therapeutic Antibody Discovery, Sanofi Genzyme, Framingham, MA, USA
| | - Brian C Mackness
- Therapeutic Antibody Discovery, Sanofi Genzyme, Framingham, MA, USA
| | - Ekaterina Boudanova
- Protein Engineering, Biologics Research, Sanofi Genzyme, Framingham, MA, USA
| | - Joern Hopke
- Molecular Expression and Screening Technologies, Sanofi Genzyme, Framingham, MA, USA
| | - Jose Sancho
- Neuroinflammation, Sanofi Genzyme, Framingham, MA, USA
| | | | - HyunSuk Cho
- Therapeutic Antibody Discovery, Sanofi Genzyme, Framingham, MA, USA
| | - Ningning Zhang
- Therapeutic Antibody Discovery, Sanofi Genzyme, Framingham, MA, USA
| | | | - Samuel D Stimple
- Therapeutic Antibody Discovery, Sanofi Genzyme, Framingham, MA, USA
| | - Dietmar Hoffmann
- Molecular Expression and Screening Technologies, Sanofi Genzyme, Framingham, MA, USA
| | - Anna Park
- Protein Engineering, Biologics Research, Sanofi Genzyme, Framingham, MA, USA
| | | | - Sambasiva P Rao
- Therapeutic Antibody Discovery, Sanofi Genzyme, Framingham, MA, USA
| |
Collapse
|
5
|
Sesterhenn F, Yang C, Bonet J, Cramer JT, Wen X, Wang Y, Chiang CI, Abriata LA, Kucharska I, Castoro G, Vollers SS, Galloux M, Dheilly E, Rosset S, Corthésy P, Georgeon S, Villard M, Richard CA, Descamps D, Delgado T, Oricchio E, Rameix-Welti MA, Más V, Ervin S, Eléouët JF, Riffault S, Bates JT, Julien JP, Li Y, Jardetzky T, Krey T, Correia BE. De novo protein design enables the precise induction of RSV-neutralizing antibodies. Science 2020; 368:eaay5051. [PMID: 32409444 PMCID: PMC7391827 DOI: 10.1126/science.aay5051] [Citation(s) in RCA: 119] [Impact Index Per Article: 29.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2019] [Revised: 01/30/2020] [Accepted: 04/08/2020] [Indexed: 12/27/2022]
Abstract
De novo protein design has been successful in expanding the natural protein repertoire. However, most de novo proteins lack biological function, presenting a major methodological challenge. In vaccinology, the induction of precise antibody responses remains a cornerstone for next-generation vaccines. Here, we present a protein design algorithm called TopoBuilder, with which we engineered epitope-focused immunogens displaying complex structural motifs. In both mice and nonhuman primates, cocktails of three de novo-designed immunogens induced robust neutralizing responses against the respiratory syncytial virus. Furthermore, the immunogens refocused preexisting antibody responses toward defined neutralization epitopes. Overall, our design approach opens the possibility of targeting specific epitopes for the development of vaccines and therapeutic antibodies and, more generally, will be applicable to the design of de novo proteins displaying complex functional motifs.
Collapse
Affiliation(s)
- Fabian Sesterhenn
- Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne CH-1015, Switzerland
- Swiss Institute of Bioinformatics (SIB), Lausanne CH-1015, Switzerland
| | - Che Yang
- Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne CH-1015, Switzerland
- Swiss Institute of Bioinformatics (SIB), Lausanne CH-1015, Switzerland
| | - Jaume Bonet
- Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne CH-1015, Switzerland
- Swiss Institute of Bioinformatics (SIB), Lausanne CH-1015, Switzerland
| | - Johannes T Cramer
- Institute of Virology, Hannover Medical School, Hannover 30625, Germany
| | - Xiaolin Wen
- Department of Structural Biology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Yimeng Wang
- Institute for Bioscience and Biotechnology Research, University of Maryland, Rockville, MD 20850, USA
| | - Chi-I Chiang
- Institute for Bioscience and Biotechnology Research, University of Maryland, Rockville, MD 20850, USA
| | - Luciano A Abriata
- Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne CH-1015, Switzerland
- Swiss Institute of Bioinformatics (SIB), Lausanne CH-1015, Switzerland
| | - Iga Kucharska
- Program in Molecular Medicine, Hospital for Sick Children Research Institute, Toronto, Ontario M5G 0A4, Canada
- Departments of Biochemistry and Immunology, University of Toronto, Toronto, Ontario M5S 1A8, Canada
| | - Giacomo Castoro
- Institute of Virology, Hannover Medical School, Hannover 30625, Germany
| | - Sabrina S Vollers
- Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne CH-1015, Switzerland
- Swiss Institute of Bioinformatics (SIB), Lausanne CH-1015, Switzerland
| | - Marie Galloux
- Université Paris-Saclay, INRAE, UVSQ, VIM, 78350 Jouy-en-Josas, France
| | - Elie Dheilly
- Swiss Institute for Experimental Cancer Research, School of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne CH-1015, Switzerland
| | - Stéphane Rosset
- Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne CH-1015, Switzerland
- Swiss Institute of Bioinformatics (SIB), Lausanne CH-1015, Switzerland
| | - Patricia Corthésy
- Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne CH-1015, Switzerland
- Swiss Institute of Bioinformatics (SIB), Lausanne CH-1015, Switzerland
| | - Sandrine Georgeon
- Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne CH-1015, Switzerland
- Swiss Institute of Bioinformatics (SIB), Lausanne CH-1015, Switzerland
| | - Mélanie Villard
- Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne CH-1015, Switzerland
- Swiss Institute of Bioinformatics (SIB), Lausanne CH-1015, Switzerland
| | | | - Delphyne Descamps
- Université Paris-Saclay, INRAE, UVSQ, VIM, 78350 Jouy-en-Josas, France
| | - Teresa Delgado
- Centro Nacional de Microbiología, Instituto de Salud Carlos III, 28220 Madrid, Spain
| | - Elisa Oricchio
- Swiss Institute for Experimental Cancer Research, School of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne CH-1015, Switzerland
| | | | - Vicente Más
- Centro Nacional de Microbiología, Instituto de Salud Carlos III, 28220 Madrid, Spain
| | - Sean Ervin
- Wake Forest Baptist Medical Center, Winston Salem, NC 27157, USA
| | | | - Sabine Riffault
- Université Paris-Saclay, INRAE, UVSQ, VIM, 78350 Jouy-en-Josas, France
| | - John T Bates
- University of Mississippi Medical Center, Jackson, MS 39216, USA
| | - Jean-Philippe Julien
- Program in Molecular Medicine, Hospital for Sick Children Research Institute, Toronto, Ontario M5G 0A4, Canada
- Departments of Biochemistry and Immunology, University of Toronto, Toronto, Ontario M5S 1A8, Canada
| | - Yuxing Li
- Institute for Bioscience and Biotechnology Research, University of Maryland, Rockville, MD 20850, USA
- Department of Microbiology and Immunology & Center of Biomolecular Therapeutics, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Theodore Jardetzky
- Department of Structural Biology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Thomas Krey
- Institute of Virology, Hannover Medical School, Hannover 30625, Germany
- German Center for Infection Research (DZIF), 38124 Braunschweig, Germany
- Institute of Biochemistry, Center of Structural and Cell Biology in Medicine, University of Luebeck, D-23538 Luebeck, Germany
- Excellence Cluster 2155 RESIST, Hannover Medical School, 30625 Hannover, Germany
- Centre for Structural Systems Biology (CSSB), 22607 Hamburg, Germany
| | - Bruno E Correia
- Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne CH-1015, Switzerland.
- Swiss Institute of Bioinformatics (SIB), Lausanne CH-1015, Switzerland
| |
Collapse
|
6
|
Bridging Vaccine-Induced HIV-1 Neutralizing and Effector Antibody Responses in Rabbit and Rhesus Macaque Animal Models. J Virol 2019; 93:JVI.02119-18. [PMID: 30842326 PMCID: PMC6498063 DOI: 10.1128/jvi.02119-18] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2018] [Accepted: 02/20/2019] [Indexed: 12/13/2022] Open
Abstract
Nonneutralizing antibody functions have been associated with reduced infection risk, or control of virus replication, for HIV-1 and related viruses. It is therefore critical to evaluate development of these responses throughout all stages of preclinical testing. Rabbits are conventionally used to evaluate the ability of vaccine candidates to safely elicit antibodies that bind and neutralize HIV-1. However, it remained unexplored how effectively rabbits model the development of nonneutralizing antibody responses in primates. We administered identical HIV-1 vaccine regimens to rabbits and rhesus macaques and performed detailed comparisons of vaccine-induced antibody responses. We demonstrated that nonneutralizing HIV-specific antibody responses can be studied in the rabbit model and have identified aspects of these responses that are common, and those that are unique, to rabbits and rhesus macaques. Our findings will help determine how to best utilize preclinical rabbit and rhesus macaque models to accelerate HIV vaccine candidate testing in human trials. Studies in animal models are essential prerequisites for clinical trials of candidate HIV vaccines. Small animals, such as rabbits, are used to evaluate promising strategies prior to further immunogenicity and efficacy testing in nonhuman primates. Our goal was to determine how HIV-specific vaccine-elicited antibody responses, epitope specificity, and Fc-mediated functions in the rabbit model can predict those in the rhesus macaque (RM) model. Detailed comparisons of the HIV-1-specific IgG response were performed on serum from rabbits and RM given identical modified vaccinia virus Ankara-prime/gp120-boost immunization regimens. We found that vaccine-induced neutralizing antibody, gp120-binding antibody levels and immunodominant specificities, antibody-dependent cellular phagocytosis of HIV-1 virions, and antibody-dependent cellular cytotoxicity (ADCC) responses against gp120-coated target cells were similar in rabbits and RM. However, we also identified characteristics of humoral immunity that differed across species. ADCC against HIV-infected target cells was elicited in rabbits but not in RM, and we observed differences among subdominantly targeted epitopes. Human Fc receptor binding assays and analysis of antibody-cell interactions indicated that rabbit vaccine-induced antibodies effectively recruited and activated human natural killer cells, while vaccine-elicited RM antibodies were unable to activate either human or RM NK cells. Thus, our data demonstrate that both Fc-independent and Fc-dependent functions of rabbit antibodies can be measured with commonly used in vitro assays; however, the ability of immunogenicity studies performed in rabbits to predict responses in RM will vary depending on the particular immune parameter of interest. IMPORTANCE Nonneutralizing antibody functions have been associated with reduced infection risk, or control of virus replication, for HIV-1 and related viruses. It is therefore critical to evaluate development of these responses throughout all stages of preclinical testing. Rabbits are conventionally used to evaluate the ability of vaccine candidates to safely elicit antibodies that bind and neutralize HIV-1. However, it remained unexplored how effectively rabbits model the development of nonneutralizing antibody responses in primates. We administered identical HIV-1 vaccine regimens to rabbits and rhesus macaques and performed detailed comparisons of vaccine-induced antibody responses. We demonstrated that nonneutralizing HIV-specific antibody responses can be studied in the rabbit model and have identified aspects of these responses that are common, and those that are unique, to rabbits and rhesus macaques. Our findings will help determine how to best utilize preclinical rabbit and rhesus macaque models to accelerate HIV vaccine candidate testing in human trials.
Collapse
|
7
|
Multivariate profiling of African green monkey and rhesus macaque T lymphocytes. Sci Rep 2019; 9:4834. [PMID: 30886198 PMCID: PMC6423277 DOI: 10.1038/s41598-019-41209-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2018] [Accepted: 02/27/2019] [Indexed: 12/22/2022] Open
Abstract
The complexity of immune responses limits the usefulness of univariate methods in answering complex immunology questions. To demonstrate the utility of a multivariate approach, we employ such approach to compare T cells of African green monkeys (AGMs) and rhesus macaques (RMs). Among the most prominent distinguishing features we found were lower CD3 and higher CD28 surface expression in AGMs compared to RMs. After in vitro stimulation, a larger proportion of AGM T cells secreted cytokines, especially those producing more than one cytokine (i.e. multifunctional cells). To find out whether multifunctional responses associate with protection in other species, we compared T cells of cynomolgus macaques (CMs) infected with wild-type Simian Immunodeficiency Virus (SIV) to those of CMs infected (vaccinated) with a replication-defective virus. Wild-type SIV infection in macaques leads to simian Acquired Immunodeficiency Syndrome (AIDS), which does not happen in animals previously vaccinated with a replication-defective virus. Interestingly, after in vitro stimulation, multifunctional cells were more abundant among T cells of vaccinated CMs. Our results propose T-cell multifunctionality as a potentially useful marker of immunity, although additional verification is needed. Finally, we hope our multivariate model and its associated validation methods will inform future studies in the field of immunology.
Collapse
|
8
|
Intranasal Live Influenza Vaccine Priming Elicits Localized B Cell Responses in Mediastinal Lymph Nodes. J Virol 2018; 92:JVI.01970-17. [PMID: 29444938 DOI: 10.1128/jvi.01970-17] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2017] [Accepted: 01/26/2018] [Indexed: 01/05/2023] Open
Abstract
Pandemic live attenuated influenza vaccines (pLAIV) prime subjects for a robust neutralizing antibody response upon subsequent administration of a pandemic inactivated subunit vaccine (pISV). However, a difference was not detected in H5-specific memory B cells in the peripheral blood between pLAIV-primed and unprimed subjects prior to pISV boost. To investigate the mechanism underlying pLAIV priming, we vaccinated groups of 12 African green monkeys (AGMs) with H5N1 pISV or pLAIV alone or H5N1 pLAIV followed by pISV and examined immunity systemically and in local draining lymph nodes (LN). The AGM model recapitulated the serologic observations from clinical studies. Interestingly, H5N1 pLAIV induced robust germinal center B cell responses in the mediastinal LN (MLN). Subsequent boosting with H5N1 pISV drove increases in H5-specific B cells in the axillary LN, spleen, and circulation in H5N1 pLAIV-primed animals. Thus, H5N1 pLAIV primes localized B cell responses in the MLN that are recalled systemically following pISV boost. These data provide mechanistic insights for the generation of robust humoral responses via prime-boost vaccination.IMPORTANCE We have previously shown that pandemic live attenuated influenza vaccines (pLAIV) prime for a rapid and robust antibody response on subsequent administration of inactivated subunit vaccine (pISV). This is observed even in individuals who had undetectable antibody (Ab) responses following the initial vaccination. To define the mechanistic basis of pLAIV priming, we turned to a nonhuman primate model and performed a detailed analysis of B cell responses in systemic and local lymphoid tissues following prime-boost vaccination with pLAIV and pISV. We show that the nonhuman primate model recapitulates the serologic observations from clinical studies. Further, we found that pLAIVs induced robust germinal center B cell responses in the mediastinal lymph node. Subsequent boosting with pISV in pLAIV-primed animals resulted in detection of B cells in the axillary lymph nodes, spleen, and peripheral blood. We demonstrate that intranasally administered pLAIV elicits a highly localized germinal center B cell response in the mediastinal lymph node that is rapidly recalled following pISV boost into germinal center reactions at numerous distant immune sites.
Collapse
|
9
|
Pollara J, Orlandi C, Beck C, Edwards RW, Hu Y, Liu S, Wang S, Koup RA, Denny TN, Lu S, Tomaras GD, DeVico A, Lewis GK, Ferrari G. Application of area scaling analysis to identify natural killer cell and monocyte involvement in the GranToxiLux antibody dependent cell-mediated cytotoxicity assay. Cytometry A 2018; 93:436-447. [PMID: 29498807 PMCID: PMC5969088 DOI: 10.1002/cyto.a.23348] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2017] [Revised: 01/31/2018] [Accepted: 02/04/2018] [Indexed: 01/14/2023]
Abstract
Several different assay methodologies have been described for the evaluation of HIV or SIV-specific antibody-dependent cell-mediated cytotoxicity (ADCC). Commonly used assays measure ADCC by evaluating effector cell functions, or by detecting elimination of target cells. Signaling through Fc receptors, cellular activation, cytotoxic granule exocytosis, or accumulation of cytolytic and immune signaling factors have been used to evaluate ADCC at the level of the effector cells. Alternatively, assays that measure killing or loss of target cells provide a direct assessment of the specific killing activity of antibodies capable of ADCC. Thus, each of these two distinct types of assays provides information on only one of the critical components of an ADCC event; either the effector cells involved, or the resulting effect on the target cell. We have developed a simple modification of our previously described high-throughput ADCC GranToxiLux (GTL) assay that uses area scaling analysis (ASA) to facilitate simultaneous quantification of ADCC activity at the target cell level, and assessment of the contribution of natural killer cells and monocytes to the total observed ADCC activity when whole human peripheral blood mononuclear cells are used as a source of effector cells. The modified analysis method requires no additional reagents and can, therefore, be easily included in prospective studies. Moreover, ASA can also often be applied to pre-existing ADCC-GTL datasets. Thus, incorporation of ASA to the ADCC-GTL assay provides an ancillary assessment of the ability of natural and vaccine-induced antibodies to recruit natural killer cells as well as monocytes against HIV or SIV; or to any other field of research for which this assay is applied. © 2018 The Authors. Cytometry Part A published by Wiley Periodicals, Inc. on behalf of ISAC.
Collapse
Affiliation(s)
- Justin Pollara
- Department of SurgeryDuke University School of MedicineDurhamNorth Carolina
| | - Chiara Orlandi
- Institute of Human VirologyUniversity of Maryland School of MedicineBaltimoreMaryland
| | - Charles Beck
- Department of SurgeryDuke University School of MedicineDurhamNorth Carolina
| | - R. Whitney Edwards
- Department of SurgeryDuke University School of MedicineDurhamNorth Carolina
| | - Yi Hu
- Institute of Human VirologyUniversity of Maryland School of MedicineBaltimoreMaryland
| | - Shuying Liu
- Department of MedicineUniversity of Massachusetts Medical SchoolWorcesterMassachusetts
| | - Shixia Wang
- Department of MedicineUniversity of Massachusetts Medical SchoolWorcesterMassachusetts
| | - Richard A. Koup
- Vaccine Research CenterNational Institute of Allergy and Infectious Diseases, National Institutes of HealthBethesdaMaryland
| | - Thomas N. Denny
- Duke Human Vaccine Institute, Duke University School of MedicineDurhamNorth Carolina
| | - Shan Lu
- Department of MedicineUniversity of Massachusetts Medical SchoolWorcesterMassachusetts
| | - Georgia D. Tomaras
- Department of SurgeryDuke University School of MedicineDurhamNorth Carolina
| | - Anthony DeVico
- Institute of Human VirologyUniversity of Maryland School of MedicineBaltimoreMaryland
| | - George K. Lewis
- Institute of Human VirologyUniversity of Maryland School of MedicineBaltimoreMaryland
| | - Guido Ferrari
- Department of SurgeryDuke University School of MedicineDurhamNorth Carolina
| |
Collapse
|
10
|
Nguyen QN, Martinez DR, Himes JE, Whitney Edwards R, Han Q, Kumar A, Mangan R, Nicely NI, Xie G, Vandergrift N, Shen X, Pollara J, Permar SR. Predominant envelope variable loop 2-specific and gp120-specific antibody-dependent cellular cytotoxicity antibody responses in acutely SIV-infected African green monkeys. Retrovirology 2018. [PMID: 29523166 PMCID: PMC5845189 DOI: 10.1186/s12977-018-0406-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Background The initial envelope (Env)-specific antibody response in acutely HIV-1-infected individuals and simian immunodeficiency virus (SIV)-infected rhesus monkeys (RMs) is dominated by non-neutralizing antibodies targeting Env gp41. In contrast, natural primate SIV hosts, such as African green monkeys (AGMs), develop a predominant Env gp120-specific antibody response to SIV infection. However, the fine-epitope specificity and function of SIV Env-specific plasma IgG, and their potential role on autologous virus co-evolution in SIV-infected AGMs and RMs remain unclear. Results Unlike the dominant linear gp41-specific IgG responses in RMs, SIV-infected AGMs demonstrated a unique linear variable loop 2 (V2)-specific plasma IgG response that arose concurrently with high gp120-directed antibody-dependent cellular cytotoxicity (ADCC) activity, and SIVsab-infected cell binding responses during acute infection. Moreover, SIV variants isolated from SIV-infected AGMs exhibited high amino acid mutation frequencies within the Env V1V2 loop compared to those of RMs. Notably, the linear V2-specific IgG epitope in AGMs overlaps with an analogous region of the HIV V2 loop containing the K169 mutation epitope identified in breakthrough viruses from RV144 vaccinees. Conclusion Vaccine-elicited Env V2-specific IgG responses have been proposed as an immune correlate of reduced risk in HIV-1/SIV acquisition in humans and RMs. Yet the pathways to elicit these potentially-protective V2-specific IgG responses remain unclear. In this study, we demonstrate that SIV-infected AGMs, which are the natural hosts of SIV, exhibited high plasma linear V2-specific IgG binding responses that arose concurrently with SIV Env gp120-directed ADCC-mediating, and SIV-infected cell plasma IgG binding responses during acute SIV infection, which were not present in acutely SIV-infected RMs. The linear V2-specific antibody response in AGMs targets an overlapping epitope of the proposed site of vaccine-induced immune pressure defined in the moderately protective RV144 HIV-1 vaccine trial. Identifying host factors that control the early elicitation of Env V2-specific IgG and ADCC antibody responses in these natural SIV hosts could inform vaccination strategies aimed at rapidly inducing potentially-protective HIV-1 Env-specific responses in humans. Electronic supplementary material The online version of this article (10.1186/s12977-018-0406-5) contains supplementary material, which is available to authorized users.
Collapse
Affiliation(s)
- Quang N Nguyen
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, NC, USA
| | - David R Martinez
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, NC, USA.,Department of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC, USA
| | - Jonathon E Himes
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, NC, USA
| | - R Whitney Edwards
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, NC, USA.,Department of Surgery, Duke University School of Medicine, Durham, NC, USA
| | - Qifeng Han
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, NC, USA
| | - Amit Kumar
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, NC, USA
| | - Riley Mangan
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, NC, USA
| | - Nathan I Nicely
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, NC, USA
| | - Guanhua Xie
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, NC, USA
| | - Nathan Vandergrift
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, NC, USA
| | - Xiaoying Shen
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, NC, USA
| | - Justin Pollara
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, NC, USA.,Department of Surgery, Duke University School of Medicine, Durham, NC, USA
| | - Sallie R Permar
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, NC, USA. .,Department of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC, USA. .,Department of Pediatrics, Duke University School of Medicine, Durham, NC, USA. .,Department of Immunology, Duke University School of Medicine, Durham, NC, USA.
| |
Collapse
|
11
|
Svardal H, Jasinska AJ, Apetrei C, Coppola G, Huang Y, Schmitt CA, Jacquelin B, Ramensky V, Müller-Trutwin M, Antonio M, Weinstock G, Grobler JP, Dewar K, Wilson RK, Turner TR, Warren WC, Freimer NB, Nordborg M. Ancient hybridization and strong adaptation to viruses across African vervet monkey populations. Nat Genet 2017; 49:1705-1713. [PMID: 29083404 PMCID: PMC5709169 DOI: 10.1038/ng.3980] [Citation(s) in RCA: 89] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2016] [Accepted: 09/27/2017] [Indexed: 12/16/2022]
Abstract
Vervet monkeys are among the most widely distributed nonhuman primates, show considerable phenotypic diversity, and have long been an important biomedical model for a variety of human diseases and in vaccine research. Using whole-genome sequencing data from 163 vervets sampled from across Africa and the Caribbean, we find high diversity within and between taxa and clear evidence that taxonomic divergence was reticulate rather than following a simple branching pattern. A scan for diversifying selection across taxa identifies strong and highly polygenic selection signals affecting viral processes. Furthermore, selection scores are elevated in genes whose human orthologs interact with HIV and in genes that show a response to experimental simian immunodeficiency virus (SIV) infection in vervet monkeys but not in rhesus macaques, suggesting that part of the signal reflects taxon-specific adaptation to SIV.
Collapse
Affiliation(s)
- Hannes Svardal
- Gregor Mendel Institute, Austrian Academy of Sciences, Vienna Biocenter (VBC), Vienna, Austria
| | - Anna J Jasinska
- Center for Neurobehavioral Genetics, University of California Los Angeles, Los Angeles, USA
- Institute of Bioorganic Chemistry, Polish Academy of Sciences, Poznan, Poland
| | - Cristian Apetrei
- Center for Vaccine Research, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
- Department of Microbiology and Molecular Genetics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Giovanni Coppola
- Center for Neurobehavioral Genetics, University of California Los Angeles, Los Angeles, USA
- Department of Neurology, University of California Los Angeles, USA
| | - Yu Huang
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, China
| | | | | | - Vasily Ramensky
- Center for Neurobehavioral Genetics, University of California Los Angeles, Los Angeles, USA
- Moscow Institute of Physics and Technology, Dolgoprudny, Russia
| | | | - Martin Antonio
- Medical Research Council (MRC), The Gambia Unit, The Gambia
| | - George Weinstock
- The Jackson Laboratory for Genomic Medicine, Farmington, Connecticut, USA
| | - J Paul Grobler
- Department of Genetics, University of the Free State, Bloemfontein, South Africa
| | - Ken Dewar
- Department of Human Genetics, McGill University, Montreal, Quebec, Canada
| | - Richard K Wilson
- McDonnell Genome Institute, Washington University in St. Louis, St. Louis, USA
- Department of Anthropology, University of Wisconsin-Milwaukee, Milwaukee, USA
| | - Trudy R Turner
- Department of Genetics, University of the Free State, Bloemfontein, South Africa
| | - Wesley C Warren
- McDonnell Genome Institute, Washington University in St. Louis, St. Louis, USA
| | - Nelson B Freimer
- Center for Neurobehavioral Genetics, University of California Los Angeles, Los Angeles, USA
| | - Magnus Nordborg
- Gregor Mendel Institute, Austrian Academy of Sciences, Vienna Biocenter (VBC), Vienna, Austria
| |
Collapse
|
12
|
Pinder CL, Kratochvil S, Cizmeci D, Muir L, Guo Y, Shattock RJ, McKay PF. Isolation and Characterization of Antigen-Specific Plasmablasts Using a Novel Flow Cytometry-Based Ig Capture Assay. THE JOURNAL OF IMMUNOLOGY 2017; 199:4180-4188. [PMID: 29118244 DOI: 10.4049/jimmunol.1701253] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2017] [Accepted: 10/10/2017] [Indexed: 11/19/2022]
Abstract
We report the development of a novel flow cytometry-based Ig capture assay (ICA) for the identification and sorting of individual Ab-secreting cells based on their Ag reactivity. The ICA represents a fast and versatile tool for single-cell sorting of peripheral plasmablasts, streamlining subsequent Ab analysis, and cloning. We demonstrate the utility of the assay by isolating Ag-reactive plasmablasts from cryopreserved PBMC obtained from volunteers vaccinated with a recombinant HIV envelope protein. To show the specificity of the ICA, we produced Ag-specific Abs from these cells and subsequently verified their Ag reactivity via ELISA. Furthermore, we used the ICA to track Ag-specific plasmablast responses in HIV-vaccine recipients over a period of 42 d and performed a head-to-head comparison with a conventional B cell ELISpot. Results were highly comparable, highlighting that this assay is a viable alternative for monitoring Ag-specific plasmablast responses at early time points after infection or vaccination. The ICA provides important added benefits in that phenotypic information can be obtained from the identified Ag-specific cells that can then be captured for downstream applications such as B cell sequencing and/or Ab cloning. We envisage the ICA as being a useful tool in Ab repertoire analysis for future clinical trials.
Collapse
Affiliation(s)
- Christopher L Pinder
- Division of Medicine, Department of Infectious Diseases, Imperial College London, London W2 1PG, United Kingdom; and
| | - Sven Kratochvil
- Division of Medicine, Department of Infectious Diseases, Imperial College London, London W2 1PG, United Kingdom; and
| | - Deniz Cizmeci
- Division of Medicine, Department of Infectious Diseases, Imperial College London, London W2 1PG, United Kingdom; and
| | - Luke Muir
- Division of Medicine, Department of Infectious Diseases, Imperial College London, London W2 1PG, United Kingdom; and
| | - Yanping Guo
- Flow Cytometry Core Facility, National Heart and Lung Institute, Imperial College London, London W2 1PG, United Kingdom
| | - Robin J Shattock
- Division of Medicine, Department of Infectious Diseases, Imperial College London, London W2 1PG, United Kingdom; and
| | - Paul F McKay
- Division of Medicine, Department of Infectious Diseases, Imperial College London, London W2 1PG, United Kingdom; and
| |
Collapse
|