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Saporiti S, Bianchi D, Ben Mariem O, Rossi M, Guerrini U, Eberini I, Centola F. In silico evaluation of the role of Fab glycosylation in cetuximab antibody dynamics. Front Immunol 2024; 15:1429600. [PMID: 39185413 PMCID: PMC11342397 DOI: 10.3389/fimmu.2024.1429600] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2024] [Accepted: 07/23/2024] [Indexed: 08/27/2024] Open
Abstract
Introduction N-glycosylation is a post-translational modification that is highly important for the development of monoclonal antibodies (mAbs), as it regulates their biological activity, particularly in terms of immune effector functions. While typically added at the Fc level, approximately 15-25% of circulating antibodies exhibit glycosylation in the Fab domains as well. To the best of our knowledge, cetuximab (Erbitux®) is the only therapeutic antibody presenting Fab glycosylation approved world-wide targeting the epidermal growth factor receptor for the treatment of metastatic-colorectal and head and neck cancers. Additionally, it can trigger antibody-dependent cell cytotoxicity (ADCC), a response that typically is influenced by N-glycosylation at Fc level. However, the role of Fab glycosylation in cetuximab remains poorly understood. Hence, this study aims to investigate the structural role of Fab glycosylation on the conformational behavior of cetuximab. Methods The study was performed in silico via accelerated molecular dynamics simulations. The commercial cetuximab was compared to its form without Fab glycosylation and structural descriptors were evaluated to establish conformational differences. Results The results clearly show a correlation between the Fab glycosylation and structural descriptors that may modulate the conformational freedom of the antibody, potentially affecting Fc effector functions, and suggesting a negative role of Fab glycosylation on the interaction with FcγRIIIa. Conclusion Fab glycosylation of cetuximab is the most critical challenge for biosimilar development, but the differences highlighted in this work with respect to its aglycosylated form can improve the knowledge and represent also a great opportunity to develop novel strategies of biotherapeutics.
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Affiliation(s)
- Simona Saporiti
- Analytical Excellence and Program Management, Merck Serono S.p.A., Rome, Italy
| | - Davide Bianchi
- Dipartimento di Scienze Farmacologiche e Biomolecolari, Università degli Studi di Milano, Milan, Italy
| | - Omar Ben Mariem
- Dipartimento di Scienze Farmacologiche e Biomolecolari, Università degli Studi di Milano, Milan, Italy
| | - Mara Rossi
- Analytical Excellence and Program Management, Merck Serono S.p.A., Rome, Italy
| | - Uliano Guerrini
- Dipartimento di Scienze Farmacologiche e Biomolecolari, Università degli Studi di Milano, Milan, Italy
| | - Ivano Eberini
- Dipartimento di Scienze Farmacologiche e Biomolecolari & Data Science Research Center (DSRC), Università degli Studi di Milano, Milan, Italy
| | - Fabio Centola
- Analytical Excellence and Program Management, Merck Serono S.p.A., Rome, Italy
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Zhang M, Cheng Q, Wei Z, Xu J, Wu S, Xu N, Zhao C, Yu L, Feng W. BertTCR: a Bert-based deep learning framework for predicting cancer-related immune status based on T cell receptor repertoire. Brief Bioinform 2024; 25:bbae420. [PMID: 39177262 PMCID: PMC11342255 DOI: 10.1093/bib/bbae420] [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: 05/28/2024] [Revised: 07/24/2024] [Accepted: 08/08/2024] [Indexed: 08/24/2024] Open
Abstract
The T cell receptor (TCR) repertoire is pivotal to the human immune system, and understanding its nuances can significantly enhance our ability to forecast cancer-related immune responses. However, existing methods often overlook the intra- and inter-sequence interactions of T cell receptors (TCRs), limiting the development of sequence-based cancer-related immune status predictions. To address this challenge, we propose BertTCR, an innovative deep learning framework designed to predict cancer-related immune status using TCRs. BertTCR combines a pre-trained protein large language model with deep learning architectures, enabling it to extract deeper contextual information from TCRs. Compared to three state-of-the-art sequence-based methods, BertTCR improves the AUC on an external validation set for thyroid cancer detection by 21 percentage points. Additionally, this model was trained on over 2000 publicly available TCR libraries covering 17 types of cancer and healthy samples, and it has been validated on multiple public external datasets for its ability to distinguish cancer patients from healthy individuals. Furthermore, BertTCR can accurately classify various cancer types and healthy individuals. Overall, BertTCR is the advancing method for cancer-related immune status forecasting based on TCRs, offering promising potential for a wide range of immune status prediction tasks.
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Affiliation(s)
- Min Zhang
- College of Intelligent Systems Science and Engineering, Harbin Engineering University, No. 145 Nantong Street, Nangang District, Harbin, 150001, China
| | - Qi Cheng
- College of Intelligent Systems Science and Engineering, Harbin Engineering University, No. 145 Nantong Street, Nangang District, Harbin, 150001, China
| | - Zhenyu Wei
- College of Intelligent Systems Science and Engineering, Harbin Engineering University, No. 145 Nantong Street, Nangang District, Harbin, 150001, China
| | - Jiayu Xu
- College of Intelligent Systems Science and Engineering, Harbin Engineering University, No. 145 Nantong Street, Nangang District, Harbin, 150001, China
| | - Shiwei Wu
- College of Intelligent Systems Science and Engineering, Harbin Engineering University, No. 145 Nantong Street, Nangang District, Harbin, 150001, China
| | - Nan Xu
- Institute of Biomedical Engineering and Technology, Shanghai Engineering Research Center of Molecular Therapeutics and New Drug Development, School of Chemistry and Molecular Engineering, East China Normal University, No. 500 Dongchuan Road, Shanghai, 200241, China
- Shanghai Unicar-Therapy Bio-medicine Technology Co., Ltd, No. 1525 Minqiang Road, Shanghai, 201612, China
| | - Chengkui Zhao
- College of Intelligent Systems Science and Engineering, Harbin Engineering University, No. 145 Nantong Street, Nangang District, Harbin, 150001, China
- Shanghai Unicar-Therapy Bio-medicine Technology Co., Ltd, No. 1525 Minqiang Road, Shanghai, 201612, China
| | - Lei Yu
- Institute of Biomedical Engineering and Technology, Shanghai Engineering Research Center of Molecular Therapeutics and New Drug Development, School of Chemistry and Molecular Engineering, East China Normal University, No. 500 Dongchuan Road, Shanghai, 200241, China
- Shanghai Unicar-Therapy Bio-medicine Technology Co., Ltd, No. 1525 Minqiang Road, Shanghai, 201612, China
| | - Weixing Feng
- College of Intelligent Systems Science and Engineering, Harbin Engineering University, No. 145 Nantong Street, Nangang District, Harbin, 150001, China
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Pertseva M, Follonier O, Scarcella D, Reddy ST. TCR clustering by contrastive learning on antigen specificity. Brief Bioinform 2024; 25:bbae375. [PMID: 39129361 PMCID: PMC11317525 DOI: 10.1093/bib/bbae375] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2024] [Revised: 07/09/2024] [Accepted: 07/25/2024] [Indexed: 08/13/2024] Open
Abstract
Effective clustering of T-cell receptor (TCR) sequences could be used to predict their antigen-specificities. TCRs with highly dissimilar sequences can bind to the same antigen, thus making their clustering into a common antigen group a central challenge. Here, we develop TouCAN, a method that relies on contrastive learning and pretrained protein language models to perform TCR sequence clustering and antigen-specificity predictions. Following training, TouCAN demonstrates the ability to cluster highly dissimilar TCRs into common antigen groups. Additionally, TouCAN demonstrates TCR clustering performance and antigen-specificity predictions comparable to other leading methods in the field.
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Affiliation(s)
- Margarita Pertseva
- Department of Biosystems Science and Engineering, ETH Zurich, Schanzenstrasse 44, 4056 Basel, Switzerland
- Life Science Zurich Graduate School, ETH Zurich and University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland
| | - Oceane Follonier
- Department of Biosystems Science and Engineering, ETH Zurich, Schanzenstrasse 44, 4056 Basel, Switzerland
| | - Daniele Scarcella
- Department of Biosystems Science and Engineering, ETH Zurich, Schanzenstrasse 44, 4056 Basel, Switzerland
| | - Sai T Reddy
- Department of Biosystems Science and Engineering, ETH Zurich, Schanzenstrasse 44, 4056 Basel, Switzerland
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Killian JT, Glenn King R, Lucander ACK, Kizziah JL, Fucile CF, Diaz-Avalos R, Qiu S, Silva-Sanchez A, Mousseau BJ, Macon KJ, Callahan AR, Yang G, Emon Hossain M, Akther J, Good DB, Kelso S, Houp JA, Rosenblum F, Porrett PM, Ong SC, Kumar V, Saphire EO, Kearney JF, Randall TD, Rosenberg AF, Green TJ, Lund FE. HLA topography enforces shared and convergent immunodominant B cell and antibody alloresponses in transplant recipients. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.03.31.534734. [PMID: 37034637 PMCID: PMC10081326 DOI: 10.1101/2023.03.31.534734] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
Donor-specific antibody (DSA) responses against human leukocyte antigen (HLA) proteins mismatched between kidney transplant donors and recipients cause allograft loss. The rules governing the immunogenicity of non-self donor HLA are poorly understood. Using single-cell, molecular, structural, and proteomic techniques, we profiled the HLA-specific B cell response in the kidney and blood of a transplant recipient with antibody-mediated rejection (AMR). We observed an immunodominant B cell antibody response focused on topographically exposed, solvent-accessible mismatched HLA residues along the peptide-binding groove - a subregion comprising only 20% of the HLA molecule. We further demonstrated that, even within a diverse cohort of transplant recipients, the B cell alloresponse consistently converges on this same immunodominant subregion on the crown of the HLA molecule. Based on these findings, we propose that B cell immunodominance in transplant rejection relies on antigenic topography, and we suggest that this link could be exploited for organ matching and therapeutics.
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Wu F, Wu Y, Yao Y, Xu Y, Peng Q, Ma L, Li J, Yao X. The reverse TRBV30 gene of mammals: a defect or superiority in evolution? BMC Genomics 2024; 25:705. [PMID: 39030501 PMCID: PMC11264764 DOI: 10.1186/s12864-024-10632-4] [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: 12/20/2023] [Accepted: 07/17/2024] [Indexed: 07/21/2024] Open
Abstract
At the 3' end of the C2 gene in the mammalian TRB locus, a distinct reverse TRBV30 gene (named TRBV31 in mice) has been conserved throughout evolution. In the fully annotated TRB locus of 14 mammals (including six orders), we observed noteworthy variations in the localization and quality of the reverse V30 genes and Recombination Signal Sequences (RSSs) in the gene trees of 13 mammals. Conversely, the forward V29 genes and RSSs were generally consistent with the species tree of their corresponding species. This finding suggested that the evolution of the reverse V30 gene was not synchronous and likely played a crucial role in regulating adaptive immune responses. To further investigate this possibility, we utilized single-cell TCR sequencing (scTCR-seq) and high-throughput sequencing (HTS) to analyze TCRβ CDR3 repertoires from both central and peripheral tissues of Primates (Homo sapiens and Macaca mulatta), Rodentia (Mus musculus: BALB/c, C57BL/6, and Kunming mice), Artiodactyla (Bos taurus and Bubalus bubalis), and Chiroptera (Rhinolophus affinis and Hipposideros armige). Our investigation revealed several novel observations: (1) The reverse V30 gene exhibits classical rearrangement patterns adhering to the '12/23 rule' and the 'D-J rearrangement preceding the V-(D-J) rearrangement'. This results in the formation of rearranged V30-D2J2, V30-D1J1, and V30-D1J2. However, we also identified 'special rearrangement patterns' wherein V30-D rearrangement preceding D-J rearrangement, giving rise to rearranged V30-D2-J1 and forward Vx-D2-J. (2) Compared to the 'deletional rearrangement' (looping out) of forward V1-V29 genes, the reverse V30 gene exhibits preferential utilization with 'inversional rearrangement'. This may be attributed to the shorter distance between the V30 gene and D gene and the 'inversional rearrangement' modes. In summary, in the mammalian TRB locus, the reverse V30 gene has been uniquely preserved throughout evolution and preferentially utilized in V(D)J recombination, potentially serving a significant role in adaptive immunity. These results will pave the way for novel and specialized research into the mechanisms, efficiency, and function of V(D)J recombination in mammals.
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Affiliation(s)
- Fengli Wu
- Department of Immunology, Center of Immunomolecular Engineering, Innovation & Practice Base for Graduate Students Education, Zunyi Medical University, Zunyi, China
| | - Yingjie Wu
- Department of Immunology, Center of Immunomolecular Engineering, Innovation & Practice Base for Graduate Students Education, Zunyi Medical University, Zunyi, China
| | - Yuanning Yao
- Queen Mary School, Nanchang University, Nanchang, China
| | - Yuanyuan Xu
- Department of Immunology, Center of Immunomolecular Engineering, Innovation & Practice Base for Graduate Students Education, Zunyi Medical University, Zunyi, China
| | - Qi Peng
- Department of Immunology, Center of Immunomolecular Engineering, Innovation & Practice Base for Graduate Students Education, Zunyi Medical University, Zunyi, China
| | - Long Ma
- Department of Immunology, Center of Immunomolecular Engineering, Innovation & Practice Base for Graduate Students Education, Zunyi Medical University, Zunyi, China
| | - Jun Li
- Department of Immunology, Center of Immunomolecular Engineering, Innovation & Practice Base for Graduate Students Education, Zunyi Medical University, Zunyi, China
| | - Xinsheng Yao
- Department of Immunology, Center of Immunomolecular Engineering, Innovation & Practice Base for Graduate Students Education, Zunyi Medical University, Zunyi, China.
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6
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Amen A, Yoo R, Fabra-García A, Bolscher J, Stone WJR, Bally I, Dergan-Dylon S, Kucharska I, de Jong RM, de Bruijni M, Bousema T, Richter King C, MacGill RS, Sauerwein RW, Julien JP, Poignard P, Jore MM. Target-agnostic identification of human antibodies to Plasmodium falciparum sexual forms reveals cross stage recognition of glutamate-rich repeats. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.11.03.565335. [PMID: 37961136 PMCID: PMC10635103 DOI: 10.1101/2023.11.03.565335] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2023]
Abstract
Circulating sexual stages of Plasmodium falciparum (Pf) can be transmitted from humans to mosquitoes, thereby furthering the spread of malaria in the population. It is well established that antibodies (Abs) can efficiently block parasite transmission. In search for naturally acquired Ab targets on sexual stages, we established an efficient method for target-agnostic single B cell activation followed by high-throughput selection of human monoclonal antibodies (mAbs) reactive to sexual stages of Pf in the form of gamete and gametocyte extract. We isolated mAbs reactive against a range of Pf proteins including well-established targets Pfs48/45 and Pfs230. One mAb, B1E11K, was cross-reactive to various proteins containing glutamate-rich repetitive elements expressed at different stages of the parasite life cycle. A crystal structure of two B1E11K Fab domains in complex with its main antigen, RESA, expressed on asexual blood stages, showed binding of B1E11K to a repeating epitope motif in a head-to-head conformation engaging in affinity-matured homotypic interactions. Thus, this mode of recognition of Pf proteins, previously described only for PfCSP, extends to other repeats expressed across various stages. The findings augment our understanding of immune-pathogen interactions to repeating elements of the Plasmodium parasite proteome and underscore the potential of the novel mAb identification method used to provide new insights into the natural humoral immune response against Pf . Impact Statement A naturally acquired human monoclonal antibody recognizes proteins expressed at different stages of the Plasmodium falciparum lifecycle through affinity-matured homotypic interactions with glutamate-rich repeats.
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7
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Gabernet G, Marquez S, Bjornson R, Peltzer A, Meng H, Aron E, Lee NY, Jensen CG, Ladd D, Polster M, Hanssen F, Heumos S, Yaari G, Kowarik MC, Nahnsen S, Kleinstein SH. nf-core/airrflow: An adaptive immune receptor repertoire analysis workflow employing the Immcantation framework. PLoS Comput Biol 2024; 20:e1012265. [PMID: 39058741 PMCID: PMC11305553 DOI: 10.1371/journal.pcbi.1012265] [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: 01/28/2024] [Revised: 08/07/2024] [Accepted: 06/20/2024] [Indexed: 07/28/2024] Open
Abstract
Adaptive Immune Receptor Repertoire sequencing (AIRR-seq) is a valuable experimental tool to study the immune state in health and following immune challenges such as infectious diseases, (auto)immune diseases, and cancer. Several tools have been developed to reconstruct B cell and T cell receptor sequences from AIRR-seq data and infer B and T cell clonal relationships. However, currently available tools offer limited parallelization across samples, scalability or portability to high-performance computing infrastructures. To address this need, we developed nf-core/airrflow, an end-to-end bulk and single-cell AIRR-seq processing workflow which integrates the Immcantation Framework following BCR and TCR sequencing data analysis best practices. The Immcantation Framework is a comprehensive toolset, which allows the processing of bulk and single-cell AIRR-seq data from raw read processing to clonal inference. nf-core/airrflow is written in Nextflow and is part of the nf-core project, which collects community contributed and curated Nextflow workflows for a wide variety of analysis tasks. We assessed the performance of nf-core/airrflow on simulated sequencing data with sequencing errors and show example results with real datasets. To demonstrate the applicability of nf-core/airrflow to the high-throughput processing of large AIRR-seq datasets, we validated and extended previously reported findings of convergent antibody responses to SARS-CoV-2 by analyzing 97 COVID-19 infected individuals and 99 healthy controls, including a mixture of bulk and single-cell sequencing datasets. Using this dataset, we extended the convergence findings to 20 additional subjects, highlighting the applicability of nf-core/airrflow to validate findings in small in-house cohorts with reanalysis of large publicly available AIRR datasets.
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Affiliation(s)
- Gisela Gabernet
- Department of Pathology, Yale School of Medicine, New Haven, Connecticut, United States of America
- Quantitative Biology Center, Eberhard-Karls University of Tübingen, Tübingen, Germany
| | - Susanna Marquez
- Department of Pathology, Yale School of Medicine, New Haven, Connecticut, United States of America
| | - Robert Bjornson
- Yale Center for Research Computing, New Haven, Connecticut, United States of America
| | | | - Hailong Meng
- Department of Pathology, Yale School of Medicine, New Haven, Connecticut, United States of America
| | - Edel Aron
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut, United States of America
| | - Noah Y. Lee
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut, United States of America
| | - Cole G. Jensen
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut, United States of America
| | - David Ladd
- oNKo-Innate Pty Ltd, Melbourne, Victoria, Australia
| | - Mark Polster
- Quantitative Biology Center, Eberhard-Karls University of Tübingen, Tübingen, Germany
- Department of Computer Science, Eberhard-Karls University of Tübingen, Tübingen, Germany
- M3 Research Center, University Hospital, Tübingen, Germany
| | - Friederike Hanssen
- Quantitative Biology Center, Eberhard-Karls University of Tübingen, Tübingen, Germany
- Department of Computer Science, Eberhard-Karls University of Tübingen, Tübingen, Germany
- M3 Research Center, University Hospital, Tübingen, Germany
| | - Simon Heumos
- Quantitative Biology Center, Eberhard-Karls University of Tübingen, Tübingen, Germany
- Department of Computer Science, Eberhard-Karls University of Tübingen, Tübingen, Germany
- M3 Research Center, University Hospital, Tübingen, Germany
| | | | - Gur Yaari
- Faculty of Engineering, Bar Ilan University, Ramat Gan, Israel
| | - Markus C. Kowarik
- Department of Neurology and Stroke, Center for Neurology, Eberhard-Karls University of Tübingen, Tübingen, Germany
- Hertie Institute for Clinical Brain Research, Eberhard-Karls University of Tübingen, Tübingen, Germany
| | - Sven Nahnsen
- Quantitative Biology Center, Eberhard-Karls University of Tübingen, Tübingen, Germany
- Department of Computer Science, Eberhard-Karls University of Tübingen, Tübingen, Germany
- M3 Research Center, University Hospital, Tübingen, Germany
- Institute for Bioinformatics and Medical Informatics (IBMI), Eberhard-Karls University of Tübingen, Tübingen, Germany
| | - Steven H. Kleinstein
- Department of Pathology, Yale School of Medicine, New Haven, Connecticut, United States of America
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut, United States of America
- Department of Immunobiology, Yale School of Medicine, New Haven, Connecticut, United States of America
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Hulin-Curtis S, Geary JK, MacLachlan BJ, Altmann DM, Baillon L, Cole DK, Greenshields-Watson A, Hesketh SJ, Humphreys IR, Jones IM, Lauder SN, Mason GH, Smart K, Scourfield DO, Scott J, Sukhova K, Stanton RJ, Wall A, Rizkallah PJ, Barclay WS, Gallimore A, Godkin A. A targeted single mutation in influenza A virus universal epitope transforms immunogenicity and protective immunity via CD4 + T cell activation. Cell Rep 2024; 43:114259. [PMID: 38819988 DOI: 10.1016/j.celrep.2024.114259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2023] [Revised: 02/22/2024] [Accepted: 05/06/2024] [Indexed: 06/02/2024] Open
Abstract
CD4+ T cells are central to adaptive immunity. Their role in cross-protection in viral infections such as influenza and severe acute respiratory syndrome (SARS) is well documented; however, molecular rules governing T cell receptor (TCR) engagement of peptide-human leukocyte antigen (pHLA) class II are less understood. Here, we exploit an aspect of HLA class II presentation, the peptide-flanking residues (PFRs), to "tune" CD4+ T cell responses within an in vivo model system of influenza. Using a recombinant virus containing targeted substitutions at immunodominant HLA-DR1 epitopes, we demonstrate limited weight loss and improved clinical scores after heterosubtypic re-challenge. We observe enhanced protection linked to lung-derived influenza-specific CD4+ and CD8+ T cells prior to re-infection. Structural analysis of the ternary TCR:pHLA complex identifies that flanking amino acids influence side chains in the core 9-mer peptide, increasing TCR affinity. Augmentation of CD4+ T cell immunity is achievable with a single mutation, representing a strategy to enhance adaptive immunity that is decoupled from vaccine modality.
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Affiliation(s)
- Sarah Hulin-Curtis
- Division of Infection and Immunity/Systems Immunity University Research Institute, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK
| | - James K Geary
- Division of Infection and Immunity/Systems Immunity University Research Institute, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK.
| | - Bruce J MacLachlan
- Division of Infection and Immunity/Systems Immunity University Research Institute, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK
| | - Danny M Altmann
- Faculty of Medicine, Imperial College, Hammersmith Hospital, London W12 0NN, UK
| | - Laury Baillon
- Faculty of Medicine, Imperial College, Hammersmith Hospital, London W12 0NN, UK
| | - David K Cole
- Division of Infection and Immunity/Systems Immunity University Research Institute, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK
| | - Alex Greenshields-Watson
- Division of Infection and Immunity/Systems Immunity University Research Institute, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK; Department of Statistics, University of Oxford, Oxford OX1 3LB, UK
| | - Sophie J Hesketh
- Division of Infection and Immunity/Systems Immunity University Research Institute, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK
| | - Ian R Humphreys
- Division of Infection and Immunity/Systems Immunity University Research Institute, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK
| | - Ian M Jones
- School of Biological Sciences, University of Reading, Reading RG6 6AH, UK
| | - Sarah N Lauder
- Division of Infection and Immunity/Systems Immunity University Research Institute, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK
| | - Georgina H Mason
- Division of Infection and Immunity/Systems Immunity University Research Institute, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK
| | - Kathryn Smart
- Division of Infection and Immunity/Systems Immunity University Research Institute, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK
| | - D Oliver Scourfield
- Division of Infection and Immunity/Systems Immunity University Research Institute, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK
| | - Jake Scott
- Division of Infection and Immunity/Systems Immunity University Research Institute, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK
| | - Ksenia Sukhova
- Faculty of Medicine, Imperial College, Hammersmith Hospital, London W12 0NN, UK
| | - Richard J Stanton
- Division of Infection and Immunity/Systems Immunity University Research Institute, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK
| | - Aaron Wall
- Division of Infection and Immunity/Systems Immunity University Research Institute, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK
| | - Pierre J Rizkallah
- Division of Infection and Immunity/Systems Immunity University Research Institute, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK
| | - Wendy S Barclay
- Faculty of Medicine, Imperial College, Hammersmith Hospital, London W12 0NN, UK
| | - Awen Gallimore
- Division of Infection and Immunity/Systems Immunity University Research Institute, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK
| | - Andrew Godkin
- Division of Infection and Immunity/Systems Immunity University Research Institute, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK.
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9
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Sanou G, Manso T, Todorov K, Giudicelli V, Duroux P, Kossida S. IMGT/mAb-KG: the knowledge graph for therapeutic monoclonal antibodies. Front Immunol 2024; 15:1393839. [PMID: 38975336 PMCID: PMC11225432 DOI: 10.3389/fimmu.2024.1393839] [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: 02/29/2024] [Accepted: 05/31/2024] [Indexed: 07/09/2024] Open
Abstract
Introduction Therapeutic monoclonal antibodies (mAbs) have demonstrated promising outcomes in diverse clinical indications, including but not limited to graft rejection, cancer, and autoimmune diseases lately.Recognizing the crucial need for the scientific community to quickly and easily access dependable information on monoclonal antibodies (mAbs), IMGT®, the international ImMunoGeneTics information system®, provides a unique and invaluable resource: IMGT/mAb-DB, a comprehensive database of therapeutic mAbs, accessible via a user-friendly web interface. However, this approach restricts more sophisticated queries and segregates information from other databases. Methods To connect IMGT/mAb-DB with the rest of the IMGT databases, we created IMGT/mAb-KG, a knowledge graph for therapeutic monoclonal antibodies connected to IMGT structures and genomics databases. IMGT/mAb-KG is developed using the most effective methodologies and standards of semantic web and acquires data from IMGT/mAb-DB. Concerning interoperability, IMGT/mAb-KG reuses terms from biomedical resources and is connected to related resources. Results and discussion In February 2024, IMGT/mAb-KG, encompassing a total of 139,629 triplets, provides access to 1,489 mAbs, approximately 500 targets, and over 500 clinical indications. It offers detailed insights into the mechanisms of action of mAbs, their construction, and their various products and associated studies. Linked to other resources such as Thera-SAbDab (Therapeutic Structural Antibody Database), PharmGKB (a comprehensive resource curating knowledge on the impact of genetic variation on drug response), PubMed, and HGNC (HUGO Gene Nomenclature Committee), IMGT/mAb-KG is an essential resource for mAb development. A user-friendly web interface facilitates the exploration and analyse of the content of IMGT/mAb-KG.
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Affiliation(s)
- Gaoussou Sanou
- The International ImMunoGeneTics Information System (IMGT), National Center for Scientific Research (CNRS), Institute of Human Genetics (IGH), University of Montpellier (UM), Montpellier, France
- Montpellier Laboratory for Computer Science, Robotics and Microelectronics (LIRMM), University of Montpellier, National Center for Scientific Research (CNRS), Montpellier, France
| | - Taciana Manso
- The International ImMunoGeneTics Information System (IMGT), National Center for Scientific Research (CNRS), Institute of Human Genetics (IGH), University of Montpellier (UM), Montpellier, France
| | - Konstantin Todorov
- Montpellier Laboratory for Computer Science, Robotics and Microelectronics (LIRMM), University of Montpellier, National Center for Scientific Research (CNRS), Montpellier, France
| | - Véronique Giudicelli
- The International ImMunoGeneTics Information System (IMGT), National Center for Scientific Research (CNRS), Institute of Human Genetics (IGH), University of Montpellier (UM), Montpellier, France
| | - Patrice Duroux
- The International ImMunoGeneTics Information System (IMGT), National Center for Scientific Research (CNRS), Institute of Human Genetics (IGH), University of Montpellier (UM), Montpellier, France
| | - Sofia Kossida
- The International ImMunoGeneTics Information System (IMGT), National Center for Scientific Research (CNRS), Institute of Human Genetics (IGH), University of Montpellier (UM), Montpellier, France
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10
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Bulashevska A, Nacsa Z, Lang F, Braun M, Machyna M, Diken M, Childs L, König R. Artificial intelligence and neoantigens: paving the path for precision cancer immunotherapy. Front Immunol 2024; 15:1394003. [PMID: 38868767 PMCID: PMC11167095 DOI: 10.3389/fimmu.2024.1394003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2024] [Accepted: 05/13/2024] [Indexed: 06/14/2024] Open
Abstract
Cancer immunotherapy has witnessed rapid advancement in recent years, with a particular focus on neoantigens as promising targets for personalized treatments. The convergence of immunogenomics, bioinformatics, and artificial intelligence (AI) has propelled the development of innovative neoantigen discovery tools and pipelines. These tools have revolutionized our ability to identify tumor-specific antigens, providing the foundation for precision cancer immunotherapy. AI-driven algorithms can process extensive amounts of data, identify patterns, and make predictions that were once challenging to achieve. However, the integration of AI comes with its own set of challenges, leaving space for further research. With particular focus on the computational approaches, in this article we have explored the current landscape of neoantigen prediction, the fundamental concepts behind, the challenges and their potential solutions providing a comprehensive overview of this rapidly evolving field.
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Affiliation(s)
- Alla Bulashevska
- Host-Pathogen-Interactions, Paul-Ehrlich-Institut, Langen, Germany
| | - Zsófia Nacsa
- Host-Pathogen-Interactions, Paul-Ehrlich-Institut, Langen, Germany
| | - Franziska Lang
- TRON - Translational Oncology at the University Medical Center of the Johannes Gutenberg University gGmbH, Mainz, Germany
| | - Markus Braun
- Host-Pathogen-Interactions, Paul-Ehrlich-Institut, Langen, Germany
| | - Martin Machyna
- Host-Pathogen-Interactions, Paul-Ehrlich-Institut, Langen, Germany
| | - Mustafa Diken
- TRON - Translational Oncology at the University Medical Center of the Johannes Gutenberg University gGmbH, Mainz, Germany
| | - Liam Childs
- Host-Pathogen-Interactions, Paul-Ehrlich-Institut, Langen, Germany
| | - Renate König
- Host-Pathogen-Interactions, Paul-Ehrlich-Institut, Langen, Germany
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11
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Hahn WO, Parks KR, Shen M, Ozorowski G, Janes H, Ballweber-Fleming L, Woodward Davis AS, Duplessis C, Tomai M, Dey AK, Sagawa ZK, De Rosa SC, Seese A, Siddaramaiah LK, Stamatatos L, Lee WH, Sewall LM, Karlinsey D, Turner HL, Rubin V, Furth S, MacPhee K, Duff M, Corey L, Keefer MC, Edupuganti S, Frank I, Maenza J, Baden LR, Hyrien O, Sanders RW, Moore JP, Ward AB, Tomaras GD, Montefiori DC, Rouphael N, McElrath MJ. HIV BG505 SOSIP.664 trimer with 3M-052-AF/alum induces human autologous tier-2 neutralizing antibodies. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.05.08.24306957. [PMID: 38766048 PMCID: PMC11100857 DOI: 10.1101/2024.05.08.24306957] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2024]
Abstract
Stabilized trimers preserving the native-like HIV envelope structure may be key components of a preventive HIV vaccine regimen to induce broadly neutralizing antibodies (bnAbs). We evaluated trimeric BG505 SOSIP.664 gp140, formulated with a novel TLR7/8 signaling adjuvant, 3M-052-AF/Alum, for safety, adjuvant dose-finding and immunogenicity in a first-in-healthy adult (n=17), randomized, placebo-controlled trial (HVTN 137A). The vaccine regimen appeared safe. Robust, trimer-specific antibody, B-cell and CD4+ T-cell responses emerged post-vaccination. Five vaccinees developed serum autologous tier-2 nAbs (ID50 titer, 1:28-1:8647) after 2-3 doses targeting C3/V5 and/or V1/V2/V3 Env regions by electron microscopy and mutated pseudovirus-based neutralization analyses. Trimer-specific, B-cell-derived monoclonal antibody activities confirmed these results and showed weak heterologous neutralization in the strongest responder. Our findings demonstrate the clinical utility of the 3M-052-AF/alum adjuvant and support further improvements of trimer-based Env immunogens to focus responses on multiple broad nAb epitopes. KEY TAKEAWAY/TAKE-HOME MESSAGES HIV BG505 SOSIP.664 trimer with novel 3M-052-AF/alum adjuvant in humans appears safe and induces serum neutralizing antibodies to matched clade A, tier 2 virus, that map to diverse Env epitopes with relatively high titers. The novel adjuvant may be an important mediator of vaccine response.
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12
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Cui J, Xu H, Yu J, Ran S, Zhang X, Li Y, Chen Z, Niu Y, Wang S, Ye W, Chen W, Wu J, Xia J. Targeted depletion of PD-1-expressing cells induces immune tolerance through peripheral clonal deletion. Sci Immunol 2024; 9:eadh0085. [PMID: 38669317 DOI: 10.1126/sciimmunol.adh0085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Accepted: 03/28/2024] [Indexed: 04/28/2024]
Abstract
Thymic negative selection of the T cell receptor (TCR) repertoire is essential for establishing self-tolerance and acquired allograft tolerance following organ transplantation. However, it is unclear whether and how peripheral clonal deletion of alloreactive T cells induces transplantation tolerance. Here, we establish that programmed cell death protein 1 (PD-1) is a hallmark of alloreactive T cells and is associated with clonal expansion after alloantigen encounter. Moreover, we found that diphtheria toxin receptor (DTR)-mediated ablation of PD-1+ cells reshaped the TCR repertoire through peripheral clonal deletion of alloreactive T cells and promoted tolerance in mouse transplantation models. In addition, by using PD-1-specific depleting antibodies, we found that antibody-mediated depletion of PD-1+ cells prevented heart transplant rejection and the development of experimental autoimmune encephalomyelitis (EAE) in humanized PD-1 mice. Thus, these data suggest that PD-1 is an attractive target for peripheral clonal deletion and induction of immune tolerance.
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Affiliation(s)
- Jikai Cui
- Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Key Laboratory of Biological Targeted Therapy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Key Laboratory of Organ Transplantation, Ministry of Education; NHC Key Laboratory of Organ Transplantation; Key Laboratory of Organ Transplantation, Chinese Academy of Medical Sciences, Wuhan, China
| | - Heng Xu
- Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jizhang Yu
- Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Key Laboratory of Biological Targeted Therapy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Key Laboratory of Organ Transplantation, Ministry of Education; NHC Key Laboratory of Organ Transplantation; Key Laboratory of Organ Transplantation, Chinese Academy of Medical Sciences, Wuhan, China
- Center for Translational Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shuan Ran
- Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Key Laboratory of Biological Targeted Therapy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Key Laboratory of Organ Transplantation, Ministry of Education; NHC Key Laboratory of Organ Transplantation; Key Laboratory of Organ Transplantation, Chinese Academy of Medical Sciences, Wuhan, China
| | - Xi Zhang
- Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Key Laboratory of Biological Targeted Therapy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Key Laboratory of Organ Transplantation, Ministry of Education; NHC Key Laboratory of Organ Transplantation; Key Laboratory of Organ Transplantation, Chinese Academy of Medical Sciences, Wuhan, China
| | - Yuan Li
- Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Key Laboratory of Biological Targeted Therapy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Key Laboratory of Organ Transplantation, Ministry of Education; NHC Key Laboratory of Organ Transplantation; Key Laboratory of Organ Transplantation, Chinese Academy of Medical Sciences, Wuhan, China
| | - Zhang Chen
- Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Key Laboratory of Biological Targeted Therapy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Key Laboratory of Organ Transplantation, Ministry of Education; NHC Key Laboratory of Organ Transplantation; Key Laboratory of Organ Transplantation, Chinese Academy of Medical Sciences, Wuhan, China
| | - Yuqing Niu
- Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Key Laboratory of Biological Targeted Therapy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Key Laboratory of Organ Transplantation, Ministry of Education; NHC Key Laboratory of Organ Transplantation; Key Laboratory of Organ Transplantation, Chinese Academy of Medical Sciences, Wuhan, China
| | - Song Wang
- Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Key Laboratory of Biological Targeted Therapy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Key Laboratory of Organ Transplantation, Ministry of Education; NHC Key Laboratory of Organ Transplantation; Key Laboratory of Organ Transplantation, Chinese Academy of Medical Sciences, Wuhan, China
| | - Weicong Ye
- Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Key Laboratory of Biological Targeted Therapy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Key Laboratory of Organ Transplantation, Ministry of Education; NHC Key Laboratory of Organ Transplantation; Key Laboratory of Organ Transplantation, Chinese Academy of Medical Sciences, Wuhan, China
| | - Wenhao Chen
- Immunobiology and Transplant Science Center, Department of Surgery, Houston Methodist Research Institute and Institute for Academic Medicine, Houston Methodist Hospital, Houston, TX, USA
| | - Jie Wu
- Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Key Laboratory of Biological Targeted Therapy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Key Laboratory of Organ Transplantation, Ministry of Education; NHC Key Laboratory of Organ Transplantation; Key Laboratory of Organ Transplantation, Chinese Academy of Medical Sciences, Wuhan, China
- Center for Translational Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Institute of Translational Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jiahong Xia
- Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Key Laboratory of Biological Targeted Therapy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Key Laboratory of Organ Transplantation, Ministry of Education; NHC Key Laboratory of Organ Transplantation; Key Laboratory of Organ Transplantation, Chinese Academy of Medical Sciences, Wuhan, China
- Center for Translational Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Institute of Translational Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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13
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Zou JL, Chen KX, Wang XJ, Lu ZC, Wu XH, Wu YD. Structure-Based Rational and General Strategy for Stabilizing Single-Chain T-Cell Receptors to Enhance Affinity. J Med Chem 2024. [PMID: 38661304 DOI: 10.1021/acs.jmedchem.4c00503] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/26/2024]
Abstract
The T-cell receptor (TCR) is a crucial molecule in cellular immunity. The single-chain T-cell receptor (scTCR) is a potential format in TCR therapeutics because it eliminates the possibility of αβ-TCR mispairing. However, its poor stability and solubility impede the in vitro study and manufacturing of therapeutic applications. In this study, some conserved structural motifs are identified in variable domains regardless of germlines and species. Theoretical analysis helps to identify those unfavored factors and leads to a general strategy for stabilizing scTCRs by substituting residues at exact IMGT positions with beneficial propensities on the consensus sequence of germlines. Several representative scTCRs are displayed to achieve stability optimization and retain comparable binding affinities with the corresponding αβ-TCRs in the range of μM to pM. These results demonstrate that our strategies for scTCR engineering are capable of providing the affinity-enhanced and specificity-retained format, which are of great value in facilitating the development of TCR-related therapeutics.
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Affiliation(s)
- Jia-Ling Zou
- Lab of Computational Chemistry and Drug Design, State Key Laboratory of Chemical Oncogenomics, Peking University Shenzhen Graduate School, Shenzhen 518055, China
| | | | | | | | - Xian-Hui Wu
- Tianmu Institute of Health, Changzhou 213399, China
| | - Yun-Dong Wu
- Lab of Computational Chemistry and Drug Design, State Key Laboratory of Chemical Oncogenomics, Peking University Shenzhen Graduate School, Shenzhen 518055, China
- Shenzhen Bay Laboratory, Shenzhen 518132, China
- College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China
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14
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Moravec Z, Zhao Y, Voogd R, Cook DR, Kinrot S, Capra B, Yang H, Raud B, Ou J, Xuan J, Wei T, Ren L, Hu D, Wang J, Haanen JBAG, Schumacher TN, Chen X, Porter E, Scheper W. Discovery of tumor-reactive T cell receptors by massively parallel library synthesis and screening. Nat Biotechnol 2024:10.1038/s41587-024-02210-6. [PMID: 38653798 DOI: 10.1038/s41587-024-02210-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Accepted: 03/18/2024] [Indexed: 04/25/2024]
Abstract
T cell receptor (TCR) gene therapy is a potent form of cellular immunotherapy in which patient T cells are genetically engineered to express TCRs with defined tumor reactivity. However, the isolation of therapeutic TCRs is complicated by both the general scarcity of tumor-specific T cells among patient T cell repertoires and the patient-specific nature of T cell epitopes expressed on tumors. Here we describe a high-throughput, personalized TCR discovery pipeline that enables the assembly of complex synthetic TCR libraries in a one-pot reaction, followed by pooled expression in reporter T cells and functional genetic screening against patient-derived tumor or antigen-presenting cells. We applied the method to screen thousands of tumor-infiltrating lymphocyte (TIL)-derived TCRs from multiple patients and identified dozens of CD4+ and CD8+ T-cell-derived TCRs with potent tumor reactivity, including TCRs that recognized patient-specific neoantigens.
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Affiliation(s)
- Ziva Moravec
- Department of Molecular Oncology and Immunology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Yue Zhao
- RootPath, Inc. (Guangzhou), Guangzhou, China
| | - Rhianne Voogd
- Department of Molecular Oncology and Immunology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | | | | | | | - Haiyan Yang
- RootPath, Inc. (Guangzhou), Guangzhou, China
| | - Brenda Raud
- Department of Molecular Oncology and Immunology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Jiayu Ou
- RootPath, Inc. (Guangzhou), Guangzhou, China
| | - Jiekun Xuan
- RootPath, Inc. (US), Watertown, MA, USA
- RootPath, Inc. (Hangzhou), Hangzhou, China
| | - Teng Wei
- Cytotherapy Laboratory, People's Hospital, Shenzhen, Guangdong, China
| | - Lili Ren
- Cytotherapy Laboratory, People's Hospital, Shenzhen, Guangdong, China
| | - Dandan Hu
- Department of Liver Surgery, Sun Yat-sen University Cancer Center, Guangzhou, China
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Jun Wang
- Department of Pathology, New York University Grossman School of Medicine, New York, NY, USA
- Laura and Isaac Perlmutter Cancer Center, New York University Langone Health, New York, NY, USA
| | - John B A G Haanen
- Department of Molecular Oncology and Immunology, Netherlands Cancer Institute, Amsterdam, The Netherlands
- Department of Medical Oncology, Netherlands Cancer Institute, Amsterdam, The Netherlands
- Department of Hematology, Leiden University Medical Center, Leiden, The Netherlands
| | - Ton N Schumacher
- Department of Molecular Oncology and Immunology, Netherlands Cancer Institute, Amsterdam, The Netherlands
- Department of Hematology, Leiden University Medical Center, Leiden, The Netherlands
- Oncode Institute, Utrecht, The Netherlands
| | - Xi Chen
- RootPath, Inc. (Guangzhou), Guangzhou, China.
- RootPath, Inc. (US), Watertown, MA, USA.
- RootPath, Inc. (Hangzhou), Hangzhou, China.
| | - Ely Porter
- RootPath, Inc. (US), Watertown, MA, USA.
| | - Wouter Scheper
- Department of Molecular Oncology and Immunology, Netherlands Cancer Institute, Amsterdam, The Netherlands.
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15
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Schreiber S, Dressler LS, Loffredo-Verde E, Asen T, Färber S, Wang W, Groll T, Chakraborty A, Kolbe F, Kreer C, Kosinska AD, Simon S, Urban S, Klein F, Riddell SR, Protzer U. CARs derived from broadly neutralizing, human monoclonal antibodies identified by single B cell sorting target hepatitis B virus-positive cells. Front Immunol 2024; 15:1340619. [PMID: 38711498 PMCID: PMC11072186 DOI: 10.3389/fimmu.2024.1340619] [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: 11/18/2023] [Accepted: 03/18/2024] [Indexed: 05/08/2024] Open
Abstract
To design new CARs targeting hepatitis B virus (HBV), we isolated human monoclonal antibodies recognizing the HBV envelope proteins from single B cells of a patient with a resolved infection. HBV-specific memory B cells were isolated by incubating peripheral blood mononuclear cells with biotinylated hepatitis B surface antigen (HBsAg), followed by single-cell flow cytometry-based sorting of live, CD19+ IgG+ HBsAg+ cells. Amplification and sequencing of immunoglobulin genes from single memory B cells identified variable heavy and light chain sequences. Corresponding immunoglobulin chains were cloned into IgG1 expression vectors and expressed in mammalian cells. Two antibodies named 4D06 and 4D08 were found to be highly specific for HBsAg, recognized a conformational and a linear epitope, respectively, and showed broad reactivity and neutralization capacity against all major HBV genotypes. 4D06 and 4D08 variable chain fragments were cloned into a 2nd generation CAR format with CD28 and CD3zeta intracellular signaling domains. The new CAR constructs displayed a high functional avidity when expressed on primary human T cells. CAR-grafted T cells proved to be polyfunctional regarding cytokine secretion and killed HBV-positive target cells. Interestingly, background activation of the 4D08-CAR recognizing a linear instead of a conformational epitope was consistently low. In a preclinical model of chronic HBV infection, murine T cells grafted with the 4D06 and the 4D08 CAR showed on target activity indicated by a transient increase in serum transaminases, and a lower number of HBV-positive hepatocytes in the mice treated. This study demonstrates an efficient and fast approach to identifying pathogen-specific monoclonal human antibodies from small donor cell numbers for the subsequent generation of new CARs.
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Affiliation(s)
- Sophia Schreiber
- Institute of Virology, School of Medicine, Technical University of Munich / Helmholtz Munich, Munich, Germany
- German Center for Infection Research, Munich Partner Site, Munich, Germany
| | - Lisa S. Dressler
- Institute of Virology, School of Medicine, Technical University of Munich / Helmholtz Munich, Munich, Germany
| | - Eva Loffredo-Verde
- Institute of Virology, School of Medicine, Technical University of Munich / Helmholtz Munich, Munich, Germany
| | - Theresa Asen
- Institute of Virology, School of Medicine, Technical University of Munich / Helmholtz Munich, Munich, Germany
| | - Stephanie Färber
- Institute of Virology, School of Medicine, Technical University of Munich / Helmholtz Munich, Munich, Germany
| | - Wenshi Wang
- Department of Infectious Diseases, Molecular Virology, University Hospital, Heidelberg, Germany
| | - Tanja Groll
- Institute of Pathology, School of Medicine, Technical University of Munich, Munich, Germany
| | - Anindita Chakraborty
- Institute of Virology, School of Medicine, Technical University of Munich / Helmholtz Munich, Munich, Germany
| | - Fenna Kolbe
- Institute of Virology, School of Medicine, Technical University of Munich / Helmholtz Munich, Munich, Germany
| | - Christoph Kreer
- Laboratory of Experimental Immunology, Institute of Virology, University of Cologne, Faculty of Medicine and University Hospital of Cologne, Cologne, Germany
| | - Anna D. Kosinska
- Institute of Virology, School of Medicine, Technical University of Munich / Helmholtz Munich, Munich, Germany
- German Center for Infection Research, Munich Partner Site, Munich, Germany
| | - Sylvain Simon
- Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA, United States
| | - Stephan Urban
- Department of Infectious Diseases, Molecular Virology, University Hospital, Heidelberg, Germany
| | - Florian Klein
- Laboratory of Experimental Immunology, Institute of Virology, University of Cologne, Faculty of Medicine and University Hospital of Cologne, Cologne, Germany
| | - Stanley R. Riddell
- Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA, United States
| | - Ulrike Protzer
- Institute of Virology, School of Medicine, Technical University of Munich / Helmholtz Munich, Munich, Germany
- German Center for Infection Research, Munich Partner Site, Munich, Germany
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16
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Wang M, Lei C, Wang J, Li Y, Li M. TripHLApan: predicting HLA molecules binding peptides based on triple coding matrix and transfer learning. Brief Bioinform 2024; 25:bbae154. [PMID: 38600667 PMCID: PMC11006794 DOI: 10.1093/bib/bbae154] [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: 12/26/2023] [Revised: 02/16/2024] [Accepted: 03/13/2024] [Indexed: 04/12/2024] Open
Abstract
Human leukocyte antigen (HLA) recognizes foreign threats and triggers immune responses by presenting peptides to T cells. Computationally modeling the binding patterns between peptide and HLA is very important for the development of tumor vaccines. However, it is still a big challenge to accurately predict HLA molecules binding peptides. In this paper, we develop a new model TripHLApan for predicting HLA molecules binding peptides by integrating triple coding matrix, BiGRU + Attention models, and transfer learning strategy. We have found the main interaction site regions between HLA molecules and peptides, as well as the correlation between HLA encoding and binding motifs. Based on the discovery, we make the preprocessing and coding closer to the natural biological process. Besides, due to the input being based on multiple types of features and the attention module focused on the BiGRU hidden layer, TripHLApan has learned more sequence level binding information. The application of transfer learning strategies ensures the accuracy of prediction results under special lengths (peptides in length 8) and model scalability with the data explosion. Compared with the current optimal models, TripHLApan exhibits strong predictive performance in various prediction environments with different positive and negative sample ratios. In addition, we validate the superiority and scalability of TripHLApan's predictive performance using additional latest data sets, ablation experiments and binding reconstitution ability in the samples of a melanoma patient. The results show that TripHLApan is a powerful tool for predicting the binding of HLA-I and HLA-II molecular peptides for the synthesis of tumor vaccines. TripHLApan is publicly available at https://github.com/CSUBioGroup/TripHLApan.git.
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Affiliation(s)
- Meng Wang
- School of Computer Science and engineering, Central South University, Changsha 410083, China
| | - Chuqi Lei
- School of Computer Science and engineering, Central South University, Changsha 410083, China
| | - Jianxin Wang
- School of Computer Science and engineering, Central South University, Changsha 410083, China
| | - Yaohang Li
- Department of Computer Science, Old Dominion University, Norfolk, VA 23529, USA
| | - Min Li
- School of Computer Science and engineering, Central South University, Changsha 410083, China
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17
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Aterido A, López-Lasanta M, Blanco F, Juan-Mas A, García-Vivar ML, Erra A, Pérez-García C, Sánchez-Fernández SÁ, Sanmartí R, Fernández-Nebro A, Alperi-López M, Tornero J, Ortiz AM, Fernández-Cid CM, Palau N, Pan W, Byrne-Steele M, Starenki D, Weber D, Rodriguez-Nunez I, Han J, Myers RM, Marsal S, Julià A. Seven-chain adaptive immune receptor repertoire analysis in rheumatoid arthritis reveals novel features associated with disease and clinically relevant phenotypes. Genome Biol 2024; 25:68. [PMID: 38468286 PMCID: PMC10926600 DOI: 10.1186/s13059-024-03210-0] [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: 03/04/2022] [Accepted: 03/04/2024] [Indexed: 03/13/2024] Open
Abstract
BACKGROUND In rheumatoid arthritis (RA), the activation of T and B cell clones specific for self-antigens leads to the chronic inflammation of the synovium. Here, we perform an in-depth quantitative analysis of the seven chains that comprise the adaptive immune receptor repertoire (AIRR) in RA. RESULTS In comparison to controls, we show that RA patients have multiple and strong differences in the B cell receptor repertoire including reduced diversity as well as altered isotype, chain, and segment frequencies. We demonstrate that therapeutic tumor necrosis factor inhibition partially restores this alteration but find a profound difference in the underlying biochemical reactivities between responders and non-responders. Combining the AIRR with HLA typing, we identify the specific T cell receptor repertoire associated with disease risk variants. Integrating these features, we further develop a molecular classifier that shows the utility of the AIRR as a diagnostic tool. CONCLUSIONS Simultaneous sequencing of the seven chains of the human AIRR reveals novel features associated with the disease and clinically relevant phenotypes, including response to therapy. These findings show the unique potential of AIRR to address precision medicine in immune-related diseases.
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Affiliation(s)
- Adrià Aterido
- Rheumatology Research Group, Vall Hebron Research Institute, 08035, Barcelona, Spain
| | - María López-Lasanta
- Rheumatology Research Group, Vall Hebron Research Institute, 08035, Barcelona, Spain
| | - Francisco Blanco
- Rheumatology Department, Hospital Juan Canalejo, A Coruña, Spain
| | | | | | - Alba Erra
- Rheumatology Research Group, Vall Hebron Research Institute, 08035, Barcelona, Spain
- Rheumatology Department, Hospital Sant Rafael, Barcelona, Spain
| | | | | | - Raimon Sanmartí
- Rheumatology Department, Hospital Clínic de Barcelona and IDIBAPS, Barcelona, Spain
| | | | | | - Jesús Tornero
- Rheumatology Department, Hospital Universitario Guadalajara, Guadalajara, Spain
| | - Ana María Ortiz
- Rheumatology Department, Hospital Universitario La Princesa, IIS La Princesa, Madrid, Spain
| | | | - Núria Palau
- Rheumatology Research Group, Vall Hebron Research Institute, 08035, Barcelona, Spain
| | | | | | | | | | | | - Jian Han
- iRepertoire Inc, Huntsville, AL, USA
| | - Richard M Myers
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA
| | - Sara Marsal
- Rheumatology Research Group, Vall Hebron Research Institute, 08035, Barcelona, Spain
| | - Antonio Julià
- Rheumatology Research Group, Vall Hebron Research Institute, 08035, Barcelona, Spain.
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18
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Hudson D, Lubbock A, Basham M, Koohy H. A comparison of clustering models for inference of T cell receptor antigen specificity. IMMUNOINFORMATICS (AMSTERDAM, NETHERLANDS) 2024; 13:None. [PMID: 38525047 PMCID: PMC10955519 DOI: 10.1016/j.immuno.2024.100033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 01/18/2024] [Accepted: 01/23/2024] [Indexed: 03/26/2024]
Abstract
The vast potential sequence diversity of TCRs and their ligands has presented an historic barrier to computational prediction of TCR epitope specificity, a holy grail of quantitative immunology. One common approach is to cluster sequences together, on the assumption that similar receptors bind similar epitopes. Here, we provide the first independent evaluation of widely used clustering algorithms for TCR specificity inference, observing some variability in predictive performance between models, and marked differences in scalability. Despite these differences, we find that different algorithms produce clusters with high degrees of similarity for receptors recognising the same epitope. Our analysis strengthens the case for use of clustering models to identify signals of common specificity from large repertoires, whilst highlighting scope for improvement of complex models over simple comparators.
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Affiliation(s)
- Dan Hudson
- MRC Human Immunology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
- The Rosalind Franklin Institute, Didcot, UK
| | | | | | - Hashem Koohy
- MRC Human Immunology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
- Centre for Computational Biology, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
- Alan Turning Fellow in Health and Medicine, UK
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19
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Harmsen MM, Ackerschott B, de Smit H. Serum immunoglobulin or albumin binding single-domain antibodies that enable tailored half-life extension of biologics in multiple animal species. Front Immunol 2024; 15:1346328. [PMID: 38352869 PMCID: PMC10862077 DOI: 10.3389/fimmu.2024.1346328] [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: 11/29/2023] [Accepted: 01/12/2024] [Indexed: 02/16/2024] Open
Abstract
Single-domain antibody fragments (sdAbs) can be isolated from heavy-chain-only antibodies that occur in camelids or the heavy chain of conventional antibodies, that also occur in camelids. Therapeutic application of sdAbs is often complicated by their low serum half-life. Fusion to sdAb that bind to long-lived serum proteins albumin or IgG can prolong serum half-life of fusion partners. Such studies mostly focused on human application. For half-life prolongation in multiple animal species novel species cross-reacting sdAb are needed. We here describe the isolation from immunized llamas of sdAbs G6 and G13 that bound IgG of 9-10 species analysed, including horse, dog, cat, and swine, as well as sdAb A12 that bound horse, dog, swine and cat albumin. A12 bound albumin with 13 to 271 nM affinity dependent on the species. G13 affinity was difficult to determine by biolayer interferometry due to low and heterogeneous signals. G13 and G6 compete for the same binding domain on Fab fragments. Furthermore, they both lack the hallmark residues typical of camelid sdAbs derived from heavy-chain antibodies and had sequence characteristics typical of human sdAbs with high solubility and stability. This suggests they are derived from conventional llama antibodies. They most likely bind IgG through pairing with VL domains at the VH-VL interface rather than a paratope involving complementarity determining regions. None of the isolated sdAb interfered with FcRn binding to albumin or IgG, and thus do not prevent endosomal albumin/IgG-sdAb complex recycling. Fusions of albumin-binding sdAb A12 to several tetanus neurotoxin (TeNT) binding sdAbs prolonged the terminal serum half-life in piglets to about 4 days, comparable to authentic swine albumin. However, G13 conferred a much lower half-life of 0.84 days. Similarly, in horse, G13 prolonged half-life to only 1.2 days whereas A12 fused to two TeNT binding domains (T6T16A12) had a half-life of 21 days. The high half-life of T6T16A12, which earlier proved to be a highly potent TeNT antitoxin, further supports its therapeutic value. Furthermore, we have identified several additional sdAbs that enable tailored half-life extension of biologicals in multiple animal species.
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Affiliation(s)
- Michiel M. Harmsen
- Wageningen Bioveterinary Research, Wageningen University & Research, Lelystad, Netherlands
| | | | - Hans de Smit
- Research and Development, Smivet B.V., Wijchen, Netherlands
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20
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Gabernet G, Marquez S, Bjornson R, Peltzer A, Meng H, Aron E, Lee NY, Jensen C, Ladd D, Hanssen F, Heumos S, Yaari G, Kowarik MC, Nahnsen S, Kleinstein SH. nf-core/airrflow: an adaptive immune receptor repertoire analysis workflow employing the Immcantation framework. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.01.18.576147. [PMID: 38293151 PMCID: PMC10827190 DOI: 10.1101/2024.01.18.576147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2024]
Abstract
Adaptive Immune Receptor Repertoire sequencing (AIRR-seq) is a valuable experimental tool to study the immune state in health and following immune challenges such as infectious diseases, (auto)immune diseases, and cancer. Several tools have been developed to reconstruct B cell and T cell receptor sequences from AIRR-seq data and infer B and T cell clonal relationships. However, currently available tools offer limited parallelization across samples, scalability or portability to high-performance computing infrastructures. To address this need, we developed nf-core/airrflow, an end-to-end bulk and single-cell AIRR-seq processing workflow which integrates the Immcantation Framework following BCR and TCR sequencing data analysis best practices. The Immcantation Framework is a comprehensive toolset, which allows the processing of bulk and single-cell AIRR-seq data from raw read processing to clonal inference. nf-core/airrflow is written in Nextflow and is part of the nf-core project, which collects community contributed and curated Nextflow workflows for a wide variety of analysis tasks. We assessed the performance of nf-core/airrflow on simulated sequencing data with sequencing errors and show example results with real datasets. To demonstrate the applicability of nf-core/airrflow to the high-throughput processing of large AIRR-seq datasets, we validated and extended previously reported findings of convergent antibody responses to SARS-CoV-2 by analyzing 97 COVID-19 infected individuals and 99 healthy controls, including a mixture of bulk and single-cell sequencing datasets. Using this dataset, we extended the convergence findings to 20 additional subjects, highlighting the applicability of nf-core/airrflow to validate findings in small in-house cohorts with reanalysis of large publicly available AIRR datasets. nf-core/airrflow is available free of charge, under the MIT license on GitHub (https://github.com/nf-core/airrflow). Detailed documentation and example results are available on the nf-core website at (https://nf-co.re/airrflow).
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21
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Aba Ü, Maslak İC, İpşir C, Pehlivan D, Warnock NI, Tumes DJ, Cildir G, Erman B. A Novel Homozygous Germline Mutation in Transferrin Receptor 1 (TfR1) Leads to Combined Immunodeficiency and Provides New Insights into Iron-Immunity Axis. J Clin Immunol 2024; 44:55. [PMID: 38270687 PMCID: PMC10811203 DOI: 10.1007/s10875-024-01658-0] [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: 11/08/2023] [Accepted: 01/16/2024] [Indexed: 01/26/2024]
Abstract
A homozygous missense mutation in the transferrin receptor 1 (TfR1), also known as CD71, leads to a rare inborn error of immunity (IEI) characterized by the impaired lymphocyte activation and proliferation due to defective iron uptake of cells. However, only one causative mutation (c.58T > C, p.Y20H) in the TFRC gene coding for TfR1 has been reported so far. We herein identified a new disease-causing homozygous germline mutation in the TFRC gene (c.64C > T, p.R22W) (referred to as TfR1R22W from now on) in a Turkish patient with combined immunodeficiency (CID). TfR1R22W results in impaired TfR1 internalization similar to previously defined TfR1Y20H mutation. We found that TfR1R22W is associated with severely restricted B and T lymphocyte clonal diversity and impaired T cell activation and cytokine production as well as defective mitochondrial oxidative phosphorylation in helper T cells. In addition, circulating NK, Treg, and MAIT cell populations were significantly decreased in the patient. Using whole transcriptome analysis, we found dysregulated immune homeostasis and novel biological processes associated with TfR1R22W. We also identified a considerable expansion of circulating low-density neutrophils (LDNs) in patient's PBMCs. Overall, TfR1R22W mutation expands the current understanding of the IEI associated with TfR1 dysfunction and provides new insights underlying impaired immune function, lymphocyte diversity, and granulocyte homeostasis.
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Affiliation(s)
- Ümran Aba
- Department of Pediatric Immunology, Institute of Child Health, Hacettepe University, Ankara, Türkiye
- Can Sucak Research Laboratory for Translational Immunology, Hacettepe University, Ankara, Türkiye
| | - İbrahim Cemal Maslak
- Division of Pediatric Allergy and Immunology, Süleyman Demirel University, Isparta, Türkiye
| | - Canberk İpşir
- Department of Pediatric Immunology, Institute of Child Health, Hacettepe University, Ankara, Türkiye
- Can Sucak Research Laboratory for Translational Immunology, Hacettepe University, Ankara, Türkiye
| | - Damla Pehlivan
- Can Sucak Research Laboratory for Translational Immunology, Hacettepe University, Ankara, Türkiye
| | - Nicholas I Warnock
- Centre for Cancer Biology, SA Pathology and the University of South Australia, Adelaide, SA, 5000, Australia
| | - Damon J Tumes
- Centre for Cancer Biology, SA Pathology and the University of South Australia, Adelaide, SA, 5000, Australia
| | - Gökhan Cildir
- Centre for Cancer Biology, SA Pathology and the University of South Australia, Adelaide, SA, 5000, Australia.
- UniSA Bradley Building, North Terrace, Adelaide, SA, 5000, Australia.
| | - Baran Erman
- Can Sucak Research Laboratory for Translational Immunology, Hacettepe University, Ankara, Türkiye.
- Institute of Child Health, Hacettepe University, Ankara, Türkiye.
- Beytepe Campus of Hacettepe University, HUNITEK Building, Floor 1, 06800, Ankara, Türkiye.
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22
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Salem GM, Galula JU, Wu SR, Liu JH, Chen YH, Wang WH, Wang SF, Song CS, Chen FC, Abarientos AB, Chen GW, Wang CI, Chao DY. Antibodies from dengue patients with prior exposure to Japanese encephalitis virus are broadly neutralizing against Zika virus. Commun Biol 2024; 7:15. [PMID: 38267569 PMCID: PMC10808242 DOI: 10.1038/s42003-023-05661-w] [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: 10/07/2023] [Accepted: 12/01/2023] [Indexed: 01/26/2024] Open
Abstract
Exposure to multiple mosquito-borne flaviviruses within a lifetime is not uncommon; however, how sequential exposures to different flaviviruses shape the cross-reactive humoral response against an antigen from a different serocomplex has yet to be explored. Here, we report that dengue-infected individuals initially primed with the Japanese encephalitis virus (JEV) showed broad, highly neutralizing potencies against Zika virus (ZIKV). We also identified a rare class of ZIKV-cross-reactive human monoclonal antibodies with increased somatic hypermutation and broad neutralization against multiple flaviviruses. One huMAb, K8b, binds quaternary epitopes with heavy and light chains separately interacting with overlapping envelope protein dimer units spanning domains I, II, and III through cryo-electron microscopy and structure-based mutagenesis. JEV virus-like particle immunization in mice further confirmed that such cross-reactive antibodies, mainly IgG3 isotype, can be induced and proliferate through heterologous dengue virus (DENV) serotype 2 virus-like particle stimulation. Our findings highlight the role of prior immunity in JEV and DENV in shaping the breadth of humoral response and provide insights for future vaccination strategies in flavivirus-endemic countries.
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Affiliation(s)
- Gielenny M Salem
- Graduate Institute of Microbiology and Public Health, College of Veterinary Medicine, National Chung Hsing University, Taichung City, 402, Taiwan
| | - Jedhan Ucat Galula
- Graduate Institute of Microbiology and Public Health, College of Veterinary Medicine, National Chung Hsing University, Taichung City, 402, Taiwan
| | - Shang-Rung Wu
- Institute of Oral Medicine, School of Dentistry, College of Medicine, National Cheng Kung University, Tainan City, 701, Taiwan
- Institute of Basic Medical Sciences, College of Medicine, National Cheng Kung University, Tainan City, 701, Taiwan
| | - Jyung-Hurng Liu
- Graduate Institute of Genomics and Bioinformatics, College of Life Sciences, National Chung Hsing University, Taichung City, 40227, Taiwan
| | - Yen-Hsu Chen
- School of Medicine, College of Medicine, National Sun Yat-Sen University, Kaohsiung City, 80424, Taiwan
- Center for Tropical Medicine and Infectious Disease Research, Kaohsiung Medical University, Kaohsiung City, 80708, Taiwan
- Division of Infectious Diseases, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung City, 80708, Taiwan
| | - Wen-Hung Wang
- School of Medicine, College of Medicine, National Sun Yat-Sen University, Kaohsiung City, 80424, Taiwan
- Center for Tropical Medicine and Infectious Disease Research, Kaohsiung Medical University, Kaohsiung City, 80708, Taiwan
- Division of Infectious Diseases, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung City, 80708, Taiwan
| | - Sheng-Fan Wang
- Center for Tropical Medicine and Infectious Disease Research, Kaohsiung Medical University, Kaohsiung City, 80708, Taiwan
- Department of Medical Laboratory Science and Biotechnology, Kaohsiung Medical University, Kaohsiung City, 80708, Taiwan
| | - Cheng-Sheng Song
- Graduate Institute of Microbiology and Public Health, College of Veterinary Medicine, National Chung Hsing University, Taichung City, 402, Taiwan
| | - Fan-Chi Chen
- Doctoral Program in Microbial Genomics, National Chung Hsing University and Academia Sinica, Taichung City, 402, Taiwan
| | - Adrian B Abarientos
- Graduate Institute of Microbiology and Public Health, College of Veterinary Medicine, National Chung Hsing University, Taichung City, 402, Taiwan
| | - Guan-Wen Chen
- Institute of Oral Medicine, School of Dentistry, College of Medicine, National Cheng Kung University, Tainan City, 701, Taiwan
| | - Cheng-I Wang
- Singapore Immunology Network, Agency for Science, Technology and Research (A*STAR), 8A Biomedical Grove, Immunos, Singapore, 138648, Singapore
| | - Day-Yu Chao
- Graduate Institute of Microbiology and Public Health, College of Veterinary Medicine, National Chung Hsing University, Taichung City, 402, Taiwan.
- Doctoral Program in Microbial Genomics, National Chung Hsing University and Academia Sinica, Taichung City, 402, Taiwan.
- Department of Post-Baccalaureate Medicine, College of Medicine, National Chung Hsing University, Taichung City, 402, Taiwan.
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23
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Bardwell B, Bay J, Colburn Z. The clinical applications of immunosequencing. Curr Res Transl Med 2024; 72:103439. [PMID: 38447267 DOI: 10.1016/j.retram.2024.103439] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 03/20/2023] [Accepted: 01/11/2024] [Indexed: 03/08/2024]
Abstract
Technological advances in high-throughput sequencing have opened the door for the interrogation of adaptive immune responses at unprecedented scale. It is now possible to determine the sequences of antibodies or T-cell receptors produced by individual B and T cells in a sample. This capability, termed immunosequencing, has transformed the study of both infectious and non-infectious diseases by allowing the tracking of dynamic changes in B and T cell clonal populations over time. This has improved our understanding of the pathology of cancers, autoimmune diseases, and infectious diseases. However, to date there has been only limited clinical adoption of the technology. Advances over the last decade and on the horizon that reduce costs and improve interpretability could enable widespread clinical use. Many clinical applications have been proposed and, while most are still undergoing research and development, some methods relying on immunosequencing data have been implemented, the most widespread of which is the detection of measurable residual disease. Here, we review the diagnostic, prognostic, and therapeutic applications of immunosequencing for both infectious and non-infectious diseases.
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Affiliation(s)
- B Bardwell
- Department of Clinical Investigation, Madigan Army Medical Center, 9040 Jackson Ave, Tacoma, WA 98431, USA
| | - J Bay
- Department of Medicine, Madigan Army Medical Center, 9040 Jackson Ave, Tacoma, WA 98431, USA
| | - Z Colburn
- Department of Clinical Investigation, Madigan Army Medical Center, 9040 Jackson Ave, Tacoma, WA 98431, USA.
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24
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Damelang T, Brinkhaus M, van Osch TLJ, Schuurman J, Labrijn AF, Rispens T, Vidarsson G. Impact of structural modifications of IgG antibodies on effector functions. Front Immunol 2024; 14:1304365. [PMID: 38259472 PMCID: PMC10800522 DOI: 10.3389/fimmu.2023.1304365] [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: 09/29/2023] [Accepted: 12/11/2023] [Indexed: 01/24/2024] Open
Abstract
Immunoglobulin G (IgG) antibodies are a critical component of the adaptive immune system, binding to and neutralizing pathogens and other foreign substances. Recent advances in molecular antibody biology and structural protein engineering enabled the modification of IgG antibodies to enhance their therapeutic potential. This review summarizes recent progress in both natural and engineered structural modifications of IgG antibodies, including allotypic variation, glycosylation, Fc engineering, and Fc gamma receptor binding optimization. We discuss the functional consequences of these modifications to highlight their potential for therapeutical applications.
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Affiliation(s)
- Timon Damelang
- Sanquin Research, Department of Experimental Immunohematology and Landsteiner Laboratory, Amsterdam, Netherlands
- Sanquin Research, Department of Immunopathology, Amsterdam, Netherlands
- Department of Biomolecular Mass Spectrometry and Proteomics, Utrecht Institute for Pharmaceutical Sciences and Bijvoet Center for Biomolecular Research, Utrecht University, Utrecht, Netherlands
- Department of Antibody Research & Technologies’, Genmab, Utrecht, Netherlands
| | - Maximilian Brinkhaus
- Sanquin Research, Department of Experimental Immunohematology and Landsteiner Laboratory, Amsterdam, Netherlands
- Department of Biomolecular Mass Spectrometry and Proteomics, Utrecht Institute for Pharmaceutical Sciences and Bijvoet Center for Biomolecular Research, Utrecht University, Utrecht, Netherlands
| | - Thijs L. J. van Osch
- Sanquin Research, Department of Experimental Immunohematology and Landsteiner Laboratory, Amsterdam, Netherlands
- Department of Biomolecular Mass Spectrometry and Proteomics, Utrecht Institute for Pharmaceutical Sciences and Bijvoet Center for Biomolecular Research, Utrecht University, Utrecht, Netherlands
| | - Janine Schuurman
- Department of Antibody Research & Technologies’, Genmab, Utrecht, Netherlands
| | - Aran F. Labrijn
- Department of Antibody Research & Technologies’, Genmab, Utrecht, Netherlands
| | - Theo Rispens
- Sanquin Research, Department of Immunopathology, Amsterdam, Netherlands
| | - Gestur Vidarsson
- Sanquin Research, Department of Experimental Immunohematology and Landsteiner Laboratory, Amsterdam, Netherlands
- Department of Biomolecular Mass Spectrometry and Proteomics, Utrecht Institute for Pharmaceutical Sciences and Bijvoet Center for Biomolecular Research, Utrecht University, Utrecht, Netherlands
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25
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Ricker CA, Meli K, Van Allen EM. Historical perspective and future directions: computational science in immuno-oncology. J Immunother Cancer 2024; 12:e008306. [PMID: 38191244 PMCID: PMC10826578 DOI: 10.1136/jitc-2023-008306] [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] [Accepted: 12/07/2023] [Indexed: 01/10/2024] Open
Abstract
Immuno-oncology holds promise for transforming patient care having achieved durable clinical response rates across a variety of advanced and metastatic cancers. Despite these achievements, only a minority of patients respond to immunotherapy, underscoring the importance of elucidating molecular mechanisms responsible for response and resistance to inform the development and selection of treatments. Breakthroughs in molecular sequencing technologies have led to the generation of an immense amount of genomic and transcriptomic sequencing data that can be mined to uncover complex tumor-immune interactions using computational tools. In this review, we discuss existing and emerging computational methods that contextualize the composition and functional state of the tumor microenvironment, infer the reactivity and clonal dynamics from reconstructed immune cell receptor repertoires, and predict the antigenic landscape for immune cell recognition. We further describe the advantage of multi-omics analyses for capturing multidimensional relationships and artificial intelligence techniques for integrating omics data with histopathological and radiological images to encapsulate patterns of treatment response and tumor-immune biology. Finally, we discuss key challenges impeding their widespread use and clinical application and conclude with future perspectives. We are hopeful that this review will both serve as a guide for prospective researchers seeking to use existing tools for scientific discoveries and inspire the optimization or development of novel tools to enhance precision, ultimately expediting advancements in immunotherapy that improve patient survival and quality of life.
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Affiliation(s)
- Cora A Ricker
- Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Kevin Meli
- Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
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26
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Barra C, Nilsson JB, Saksager A, Carri I, Deleuran S, Garcia Alvarez HM, Høie MH, Li Y, Clifford JN, Wan YTR, Moreta LS, Nielsen M. In Silico Tools for Predicting Novel Epitopes. Methods Mol Biol 2024; 2813:245-280. [PMID: 38888783 DOI: 10.1007/978-1-0716-3890-3_17] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/20/2024]
Abstract
Identifying antigens within a pathogen is a critical task to develop effective vaccines and diagnostic methods, as well as understanding the evolution and adaptation to host immune responses. Historically, antigenicity was studied with experiments that evaluate the immune response against selected fragments of pathogens. Using this approach, the scientific community has gathered abundant information regarding which pathogenic fragments are immunogenic. The systematic collection of this data has enabled unraveling many of the fundamental rules underlying the properties defining epitopes and immunogenicity, and has resulted in the creation of a large panel of immunologically relevant predictive (in silico) tools. The development and application of such tools have proven to accelerate the identification of novel epitopes within biomedical applications reducing experimental costs. This chapter introduces some basic concepts about MHC presentation, T cell and B cell epitopes, the experimental efforts to determine those, and focuses on state-of-the-art methods for epitope prediction, highlighting their strengths and limitations, and catering instructions for their rational use.
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Affiliation(s)
- Carolina Barra
- Section for Bioinformatics, Health Tech, Technical University of Denmark, Lyngby, Denmark.
| | | | - Astrid Saksager
- Section for Bioinformatics, Health Tech, Technical University of Denmark, Lyngby, Denmark
| | - Ibel Carri
- Instituto de Investigaciones Biotecnológicas, Universidad Nacional de San Martín (UNSAM) - Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), San Martín, Argentina
| | - Sebastian Deleuran
- Section for Bioinformatics, Health Tech, Technical University of Denmark, Lyngby, Denmark
| | - Heli M Garcia Alvarez
- Instituto de Investigaciones Biotecnológicas, Universidad Nacional de San Martín (UNSAM) - Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), San Martín, Argentina
| | - Magnus Haraldson Høie
- Section for Bioinformatics, Health Tech, Technical University of Denmark, Lyngby, Denmark
| | - Yuchen Li
- Section for Bioinformatics, Health Tech, Technical University of Denmark, Lyngby, Denmark
| | | | - Yat-Tsai Richie Wan
- Section for Bioinformatics, Health Tech, Technical University of Denmark, Lyngby, Denmark
| | - Lys Sanz Moreta
- Section for Bioinformatics, Health Tech, Technical University of Denmark, Lyngby, Denmark
| | - Morten Nielsen
- Section for Bioinformatics, Health Tech, Technical University of Denmark, Lyngby, Denmark
- Instituto de Investigaciones Biotecnológicas, Universidad Nacional de San Martín (UNSAM) - Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), San Martín, Argentina
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27
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Ford ES, Mayer-Blackwell K, Jing L, Laing KJ, Sholukh AM, St Germain R, Bossard EL, Xie H, Pulliam TH, Jani S, Selke S, Burrow CJ, McClurkan CL, Wald A, Greninger AL, Holbrook MR, Eaton B, Eudy E, Murphy M, Postnikova E, Robins HS, Elyanow R, Gittelman RM, Ecsedi M, Wilcox E, Chapuis AG, Fiore-Gartland A, Koelle DM. Repeated mRNA vaccination sequentially boosts SARS-CoV-2-specific CD8 + T cells in persons with previous COVID-19. Nat Immunol 2024; 25:166-177. [PMID: 38057617 PMCID: PMC10981451 DOI: 10.1038/s41590-023-01692-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2022] [Accepted: 10/27/2023] [Indexed: 12/08/2023]
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) hybrid immunity is more protective than vaccination or previous infection alone. To investigate the kinetics of spike-reactive T (TS) cells from SARS-CoV-2 infection through messenger RNA vaccination in persons with hybrid immunity, we identified the T cell receptor (TCR) sequences of thousands of index TS cells and tracked their frequency in bulk TCRβ repertoires sampled longitudinally from the peripheral blood of persons who had recovered from coronavirus disease 2019 (COVID-19). Vaccinations led to large expansions in memory TS cell clonotypes, most of which were CD8+ T cells, while also eliciting diverse TS cell clonotypes not observed before vaccination. TCR sequence similarity clustering identified public CD8+ and CD4+ TCR motifs associated with spike (S) specificity. Synthesis of longitudinal bulk ex vivo single-chain TCRβ repertoires and paired-chain TCRɑβ sequences from droplet sequencing of TS cells provides a roadmap for the rapid assessment of T cell responses to vaccines and emerging pathogens.
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Affiliation(s)
- Emily S Ford
- Department of Medicine, University of Washington, Seattle, WA, USA
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | | | - Lichen Jing
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Kerry J Laing
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Anton M Sholukh
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Russell St Germain
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Emily L Bossard
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Hong Xie
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA
| | - Thomas H Pulliam
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Saumya Jani
- Department of Medicine, University of Washington, Seattle, WA, USA
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA
| | - Stacy Selke
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA
| | | | | | - Anna Wald
- Department of Medicine, University of Washington, Seattle, WA, USA
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Alexander L Greninger
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA
| | - Michael R Holbrook
- Integrated Research Facility, Division of Clinical Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Fort Detrick, Frederick, MD, USA
| | - Brett Eaton
- Integrated Research Facility, Division of Clinical Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Fort Detrick, Frederick, MD, USA
| | - Elizabeth Eudy
- Integrated Research Facility, Division of Clinical Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Fort Detrick, Frederick, MD, USA
| | - Michael Murphy
- Integrated Research Facility, Division of Clinical Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Fort Detrick, Frederick, MD, USA
| | - Elena Postnikova
- Integrated Research Facility, Division of Clinical Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Fort Detrick, Frederick, MD, USA
| | | | | | - Rachel M Gittelman
- Adaptive Biotechnologies, Seattle, WA, USA
- Guardant Health, Redwood City, CA, USA
| | - Matyas Ecsedi
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
- Takeda Oncology, Cambridge, MA, USA
| | - Elise Wilcox
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Aude G Chapuis
- Department of Medicine, University of Washington, Seattle, WA, USA
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Andrew Fiore-Gartland
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - David M Koelle
- Department of Medicine, University of Washington, Seattle, WA, USA.
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA.
- Department of Global Health, University of Washington, Seattle, WA, USA.
- Department of Translational Research, Benaroya Research Institute, Seattle, WA, USA.
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28
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Lim M, Fletcher NL, Saunus JM, McCart Reed AE, Chittoory H, Simpson PT, Thurecht KJ, Lakhani SR. Targeted Hyperbranched Nanoparticles for Delivery of Doxorubicin in Breast Cancer Brain Metastasis. Mol Pharm 2023; 20:6169-6183. [PMID: 37970806 DOI: 10.1021/acs.molpharmaceut.3c00558] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2023]
Abstract
Breast cancer brain metastases (BM) are associated with a dismal prognosis and very limited treatment options. Standard chemotherapy is challenging in BM patients because the high dosage required for an effective outcome causes unacceptable systemic toxicities, a consequence of poor brain penetration, and a short physiological half-life. Nanomedicines have the potential to circumvent off-target toxicities and factors limiting the efficacy of conventional chemotherapy. The HER3 receptor is commonly expressed in breast cancer BM. Here, we investigate the use of hyperbranched polymers (HBP) functionalized with a HER3 bispecific-antibody fragment for cancer cell-specific targeting and pH-responsive release of doxorubicin (DOX) to selectively deliver and treat BM. We demonstrated that DOX-release from the HBP carrier was controlled, gradual, and greater in endosomal acidic conditions (pH 5.5) relative to physiologic pH (pH 7.4). We showed that the HER3-targeted HBP with DOX payload was HER3-specific and induced cytotoxicity in BT474 breast cancer cells (IC50: 17.6 μg/mL). Therapeutic testing in a BM mouse model showed that HER3-targeted HBP with DOX payload impacted tumor proliferation, reduced tumor size, and prolonged overall survival. HER3-targeted HBP level detected in ex vivo brain samples was 14-fold more than untargeted-HBP. The HBP treatments were well tolerated, with less cardiac and oocyte toxicity compared to free DOX. Taken together, our HER3-targeted HBP nanomedicine has the potential to deliver chemotherapy to BM while reducing chemotherapy-associated toxicities.
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Affiliation(s)
- Malcolm Lim
- UQ Centre for Clinical Research, Faculty of Medicine, The University of Queensland, Brisbane, Herston, Queensland 4006, Australia
| | - Nicholas L Fletcher
- Centre for Advanced Imaging, The University of Queensland, Brisbane, St. Lucia, Queensland 4072, Australia
- Australian Research Council Training Centre for Innovation in Biomedical Imaging Technology, The University of Queensland, Brisbane, St. Lucia, Queensland 4072, Australia
- Australian Research Council Centre of Excellence in Convergent Bio-Nano Science and Technology, The University of Queensland, Brisbane, St. Lucia, Queensland 4072, Australia
- Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, Brisbane, St. Lucia, Queensland 4072, Australia
| | - Jodi M Saunus
- UQ Centre for Clinical Research, Faculty of Medicine, The University of Queensland, Brisbane, Herston, Queensland 4006, Australia
| | - Amy E McCart Reed
- UQ Centre for Clinical Research, Faculty of Medicine, The University of Queensland, Brisbane, Herston, Queensland 4006, Australia
| | - Haarika Chittoory
- UQ Centre for Clinical Research, Faculty of Medicine, The University of Queensland, Brisbane, Herston, Queensland 4006, Australia
| | - Peter T Simpson
- UQ Centre for Clinical Research, Faculty of Medicine, The University of Queensland, Brisbane, Herston, Queensland 4006, Australia
| | - Kristofer J Thurecht
- Centre for Advanced Imaging, The University of Queensland, Brisbane, St. Lucia, Queensland 4072, Australia
- Australian Research Council Training Centre for Innovation in Biomedical Imaging Technology, The University of Queensland, Brisbane, St. Lucia, Queensland 4072, Australia
- Australian Research Council Centre of Excellence in Convergent Bio-Nano Science and Technology, The University of Queensland, Brisbane, St. Lucia, Queensland 4072, Australia
- Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, Brisbane, St. Lucia, Queensland 4072, Australia
| | - Sunil R Lakhani
- UQ Centre for Clinical Research, Faculty of Medicine, The University of Queensland, Brisbane, Herston, Queensland 4006, Australia
- Pathology Queensland, Royal Brisbane and Women's Hospital, Herston, Queensland 4006, Australia
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29
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Fang Y, Shen B, Dai Q, Xie Q, Li X, Wu W, Wang M. Composition and diversity analysis of the TCR CDR3 repertoire in patients with idiopathic orbital inflammation using high-throughput sequencing. BMC Ophthalmol 2023; 23:491. [PMID: 38044453 PMCID: PMC10694961 DOI: 10.1186/s12886-023-03248-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Accepted: 11/28/2023] [Indexed: 12/05/2023] Open
Abstract
BACKGROUND Idiopathic orbital inflammation (IOI) is a nonspecific orbital inflammatory disease with the third highest prevalence among orbital diseases, and its pathogenesis is associated with T-cell-mediated immune responses. This study aimed to investigate the differences in T-cell receptor (TCR) expression between IOI patients and healthy subjects by high-throughput sequencing and to characterize TCR expression in patients with IOI and with respect to glucocorticoid response. METHODS A total of 19 subjects were enrolled in this study and were divided into the idiopathic orbital inflammation group (IOI group, n = 13) and the healthy control group (HC group, n = 6), and within the IOI group were further divided into the glucocorticoid therapy sensitive group (IOI(EF) group, n = 6) and the glucocorticoid therapy ineffective group (IOI(IN) group, n = 7) based on the degree of effectiveness to glucocorticoid therapy. High-throughput TCR sequencing was performed on peripheral blood mononuclear cells of IOI patients and healthy control individuals using 5' RACE technology combined with Unique Identifier (UID) digital tag correction technology. The TCR CDR3 region diversity, sharing patterns, and differential sequences between the IOI and HC groups, and between the IOI(EF) and IOI(IN) groups were analyzed. RESULTS It was found that the diversity of TCR CDR3 in the IOI group was significantly lower than that in the HC group, and the frequency of V gene use was significantly different between groups. The diversity of TCR CDR3 in patients in the IOI(EF) group was significantly lower than that in patients in the IOI(IN) group, and the frequency of V and J gene use was significantly different between the IOI(EF) group and the IOI(IN) group. Additionally, we found 133 nucleotide sequences shared in all IOI samples and screened two sequences with higher expression from them. CONCLUSIONS Our results suggested that abnormal clonal expansion of specific T-cells exists in IOI patients and that TCR diversity may had an impact on the prognosis of glucocorticoid-treated IOI. This study may contribute to a better understanding of the immune status of IOI and provide new insights for T-cell -associated IOI pathogenesis, diagnosis and treatment prediction.
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Affiliation(s)
- Yenan Fang
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, 325027, China
- Department of Ophthalmology, Children's Hospital of Fudan University, National Children's Medical Center, No. 399 Wanyuan Road, Shanghai, 201102, China
| | - Bingyan Shen
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, 325027, China
| | - Qin Dai
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, 325027, China
| | - Qiqi Xie
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, 325027, China
| | - Xinyu Li
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, 325027, China
| | - Wencan Wu
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, 325027, China.
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, Wenzhou, 325027, China.
| | - Min Wang
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, 325027, China.
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, Wenzhou, 325027, China.
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30
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Aoun M, Coelho A, Krämer A, Saxena A, Sabatier P, Beusch CM, Lönnblom E, Geng M, Do NN, Xu Z, Zhang J, He Y, Romero Castillo L, Abolhassani H, Xu B, Viljanen J, Rorbach J, Fernandez Lahore G, Gjertsson I, Kastbom A, Sjöwall C, Kihlberg J, Zubarev RA, Burkhardt H, Holmdahl R. Antigen-presenting autoreactive B cells activate regulatory T cells and suppress autoimmune arthritis in mice. J Exp Med 2023; 220:e20230101. [PMID: 37695523 PMCID: PMC10494526 DOI: 10.1084/jem.20230101] [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: 01/16/2023] [Revised: 05/31/2023] [Accepted: 08/16/2023] [Indexed: 09/12/2023] Open
Abstract
B cells undergo several rounds of selection to eliminate potentially pathogenic autoreactive clones, but in contrast to T cells, evidence of positive selection of autoreactive B cells remains moot. Using unique tetramers, we traced natural autoreactive B cells (C1-B) specific for a defined triple-helical epitope on collagen type-II (COL2), constituting a sizeable fraction of the physiological B cell repertoire in mice, rats, and humans. Adoptive transfer of C1-B suppressed arthritis independently of IL10, separating them from IL10-secreting regulatory B cells. Single-cell sequencing revealed an antigen processing and presentation signature, including induced expression of CD72 and CCR7 as surface markers. C1-B presented COL2 to T cells and induced the expansion of regulatory T cells in a contact-dependent manner. CD72 blockade impeded this effect suggesting a new downstream suppressor mechanism that regulates antigen-specific T cell tolerization. Thus, our results indicate that autoreactive antigen-specific naïve B cells tolerize infiltrating T cells against self-antigens to impede the development of tissue-specific autoimmune inflammation.
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Affiliation(s)
- Mike Aoun
- Division of Medical Inflammation Research, Department of Medical Biochemistry and Biophysics, Karolinska Institute, Solna, Sweden
| | - Ana Coelho
- Division of Medical Inflammation Research, Department of Medical Biochemistry and Biophysics, Karolinska Institute, Solna, Sweden
| | - Alexander Krämer
- Division of Medical Inflammation Research, Department of Medical Biochemistry and Biophysics, Karolinska Institute, Solna, Sweden
| | - Amit Saxena
- Division of Medical Inflammation Research, Department of Medical Biochemistry and Biophysics, Karolinska Institute, Solna, Sweden
| | - Pierre Sabatier
- Division of Physiological Chemistry I, Department of Medical Biochemistry and Biophysics, Karolinska Institute, Solna, Sweden
| | - Christian Michel Beusch
- Division of Physiological Chemistry I, Department of Medical Biochemistry and Biophysics, Karolinska Institute, Solna, Sweden
| | - Erik Lönnblom
- Division of Medical Inflammation Research, Department of Medical Biochemistry and Biophysics, Karolinska Institute, Solna, Sweden
| | - Manman Geng
- Precision Medicine Institute, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Nhu-Nguyen Do
- Division of Medical Inflammation Research, Department of Medical Biochemistry and Biophysics, Karolinska Institute, Solna, Sweden
- Fraunhofer Institute for Translational Medicine and Pharmacology, and Fraunhofer Cluster of Excellence for Immune-Mediated Diseases, Frankfurt am Main, Germany
| | - Zhongwei Xu
- Division of Medical Inflammation Research, Department of Medical Biochemistry and Biophysics, Karolinska Institute, Solna, Sweden
| | - Jingdian Zhang
- Max Planck Institute Biology of Ageing—Karolinska Institute Laboratory, Karolinska Institute, Solna, Sweden
- Division of Molecular Metabolism, Department of Medical Biochemistry and Biophysics, Karolinska Institute, Solna, Sweden
| | - Yibo He
- Division of Medical Inflammation Research, Department of Medical Biochemistry and Biophysics, Karolinska Institute, Solna, Sweden
| | - Laura Romero Castillo
- Division of Medical Inflammation Research, Department of Medical Biochemistry and Biophysics, Karolinska Institute, Solna, Sweden
| | - Hassan Abolhassani
- Division of Clinical Immunology, Department of Biosciences and Nutrition, Karolinska Institutet, Karolinska University Hospital, Neo Building, Solna, Sweden
| | - Bingze Xu
- Division of Medical Inflammation Research, Department of Medical Biochemistry and Biophysics, Karolinska Institute, Solna, Sweden
| | - Johan Viljanen
- Department of Chemistry, Biomedical Center, Uppsala University, Uppsala, Sweden
| | - Joanna Rorbach
- Max Planck Institute Biology of Ageing—Karolinska Institute Laboratory, Karolinska Institute, Solna, Sweden
- Division of Molecular Metabolism, Department of Medical Biochemistry and Biophysics, Karolinska Institute, Solna, Sweden
| | - Gonzalo Fernandez Lahore
- Division of Medical Inflammation Research, Department of Medical Biochemistry and Biophysics, Karolinska Institute, Solna, Sweden
| | - Inger Gjertsson
- Department of Rheumatology and Inflammation Research, University of Gothenburg, Gothenburg, Sweden
| | - Alf Kastbom
- Division of Inflammation and Infection, Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
| | - Christopher Sjöwall
- Division of Inflammation and Infection, Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
| | - Jan Kihlberg
- Department of Chemistry, Biomedical Center, Uppsala University, Uppsala, Sweden
| | - Roman A. Zubarev
- Division of Physiological Chemistry I, Department of Medical Biochemistry and Biophysics, Karolinska Institute, Solna, Sweden
- Department of Pharmacological and Technological Chemistry, I.M. Sechenov First Moscow State Medical University, Moscow, Russia
| | - Harald Burkhardt
- Fraunhofer Institute for Translational Medicine and Pharmacology, and Fraunhofer Cluster of Excellence for Immune-Mediated Diseases, Frankfurt am Main, Germany
- Division of Rheumatology, University Hospital Frankfurt, Goethe University, Frankfurt am Main, Germany
| | - Rikard Holmdahl
- Division of Medical Inflammation Research, Department of Medical Biochemistry and Biophysics, Karolinska Institute, Solna, Sweden
- Precision Medicine Institute, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
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31
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Li TT, Xia T, Wu JQ, Hong H, Sun ZL, Wang M, Ding FR, Wang J, Jiang S, Li J, Pan J, Yang G, Feng JN, Dai YP, Zhang XM, Zhou T, Li T. De novo genome assembly depicts the immune genomic characteristics of cattle. Nat Commun 2023; 14:6601. [PMID: 37857610 PMCID: PMC10587341 DOI: 10.1038/s41467-023-42161-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Accepted: 09/30/2023] [Indexed: 10/21/2023] Open
Abstract
Immunogenomic loci remain poorly understood because of their genetic complexity and size. Here, we report the de novo assembly of a cattle genome and provide a detailed annotation of the immunogenomic loci. The assembled genome contains 143 contigs (N50 ~ 74.0 Mb). In contrast to the current reference genome (ARS-UCD1.2), 156 gaps are closed and 467 scaffolds are located in our assembly. Importantly, the immunogenomic regions, including three immunoglobulin (IG) loci, four T-cell receptor (TR) loci, and the major histocompatibility complex (MHC) locus, are seamlessly assembled and precisely annotated. With the characterization of 258 IG genes and 657 TR genes distributed across seven genomic loci, we present a detailed depiction of immune gene diversity in cattle. Moreover, the MHC gene structures are integrally revealed with properly phased haplotypes. Together, our work describes a more complete cattle genome, and provides a comprehensive view of its complex immune-genome.
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Affiliation(s)
- Ting-Ting Li
- Nanhu Laboratory, National Center of Biomedical Analysis, Beijing, 100850, China
| | - Tian Xia
- Nanhu Laboratory, National Center of Biomedical Analysis, Beijing, 100850, China
| | - Jia-Qi Wu
- Nanhu Laboratory, National Center of Biomedical Analysis, Beijing, 100850, China
| | - Hao Hong
- Nanhu Laboratory, National Center of Biomedical Analysis, Beijing, 100850, China
| | - Zhao-Lin Sun
- State Key Laboratory of Toxicology and Medical Countermeasures, Beijing Institute of Pharmacology and Toxicology, Beijing, 100850, China
| | - Ming Wang
- State Key Laboratories for Agrobiotechnology, College of Biological Sciences, China Agricultural University, No.2 Yuanmingyuan Xilu, Beijing, 100193, China
- College of Animal Science and Technology, China Agricultural University, No.2 Yuanmingyuan Xilu, Beijing, 100193, China
| | - Fang-Rong Ding
- State Key Laboratories for Agrobiotechnology, College of Biological Sciences, China Agricultural University, No.2 Yuanmingyuan Xilu, Beijing, 100193, China
| | - Jing Wang
- State Key Laboratory of Toxicology and Medical Countermeasures, Beijing Institute of Pharmacology and Toxicology, Beijing, 100850, China
| | - Shuai Jiang
- Nanhu Laboratory, National Center of Biomedical Analysis, Beijing, 100850, China
| | - Jin Li
- Nanhu Laboratory, National Center of Biomedical Analysis, Beijing, 100850, China
| | - Jie Pan
- Nanhu Laboratory, National Center of Biomedical Analysis, Beijing, 100850, China
| | - Guang Yang
- State Key Laboratory of Toxicology and Medical Countermeasures, Beijing Institute of Pharmacology and Toxicology, Beijing, 100850, China
| | - Jian-Nan Feng
- State Key Laboratory of Toxicology and Medical Countermeasures, Beijing Institute of Pharmacology and Toxicology, Beijing, 100850, China
| | - Yun-Ping Dai
- State Key Laboratories for Agrobiotechnology, College of Biological Sciences, China Agricultural University, No.2 Yuanmingyuan Xilu, Beijing, 100193, China
| | - Xue-Min Zhang
- Nanhu Laboratory, National Center of Biomedical Analysis, Beijing, 100850, China
- School of Basic Medical Sciences, Fudan University, Shanghai, 200032, China
| | - Tao Zhou
- Nanhu Laboratory, National Center of Biomedical Analysis, Beijing, 100850, China.
| | - Tao Li
- Nanhu Laboratory, National Center of Biomedical Analysis, Beijing, 100850, China.
- School of Basic Medical Sciences, Fudan University, Shanghai, 200032, China.
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32
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Rotolo A, Whelan EC, Atherton MJ, Kulikovskaya I, Jarocha D, Fraietta JA, Kim MM, Diffenderfer ES, Cengel KA, Piviani M, Radaelli E, Duran-Struuck R, Mason NJ. Unedited allogeneic iNKT cells show extended persistence in MHC-mismatched canine recipients. Cell Rep Med 2023; 4:101241. [PMID: 37852175 PMCID: PMC10591065 DOI: 10.1016/j.xcrm.2023.101241] [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: 12/07/2022] [Revised: 08/14/2023] [Accepted: 09/20/2023] [Indexed: 10/20/2023]
Abstract
Allogeneic invariant natural killer T cells (allo-iNKTs) induce clinical remission in patients with otherwise incurable cancers and COVID-19-related acute respiratory failure. However, their functionality is inconsistent among individuals, and they become rapidly undetectable after infusion, raising concerns over rejection and limited therapeutic potential. We validate a strategy to promote allo-iNKT persistence in dogs, an established large-animal model for novel cellular therapies. We identify donor-specific iNKT biomarkers of survival and sustained functionality, conserved in dogs and humans and retained upon chimeric antigen receptor engineering. We reason that infusing optimal allo-iNKTs enriched in these biomarkers will prolong their persistence without requiring MHC ablation, high-intensity chemotherapy, or cytokine supplementation. Optimal allo-iNKTs transferred into MHC-mismatched dogs remain detectable for at least 78 days, exhibiting sustained immunomodulatory effects. Our canine model will accelerate biomarker discovery of optimal allo-iNKT products, furthering application of MHC-unedited allo-iNKTs as a readily accessible universal platform to treat incurable conditions worldwide.
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Affiliation(s)
- Antonia Rotolo
- Department of Pathobiology, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
| | - Eoin C Whelan
- Department of Biomedical Sciences, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Matthew J Atherton
- Department of Biomedical Sciences, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Clinical Sciences and Advanced Medicine, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Irina Kulikovskaya
- Center for Cellular Immunotherapies, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Danuta Jarocha
- Center for Cellular Immunotherapies, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Joseph A Fraietta
- Center for Cellular Immunotherapies, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Michele M Kim
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Eric S Diffenderfer
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Keith A Cengel
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Martina Piviani
- Department of Pathobiology, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Enrico Radaelli
- Department of Pathobiology, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Raimon Duran-Struuck
- Department of Pathobiology, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Nicola J Mason
- Department of Pathobiology, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Center for Cellular Immunotherapies, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
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33
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Walter J, Eludin Z, Drabovich AP. Redefining serological diagnostics with immunoaffinity proteomics. Clin Proteomics 2023; 20:42. [PMID: 37821808 PMCID: PMC10568870 DOI: 10.1186/s12014-023-09431-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Accepted: 09/19/2023] [Indexed: 10/13/2023] Open
Abstract
Serological diagnostics is generally defined as the detection of specific human immunoglobulins developed against viral, bacterial, or parasitic diseases. Serological tests facilitate the detection of past infections, evaluate immune status, and provide prognostic information. Serological assays were traditionally implemented as indirect immunoassays, and their design has not changed for decades. The advantages of straightforward setup and manufacturing, analytical sensitivity and specificity, affordability, and high-throughput measurements were accompanied by limitations such as semi-quantitative measurements, lack of universal reference standards, potential cross-reactivity, and challenges with multiplexing the complete panel of human immunoglobulin isotypes and subclasses. Redesign of conventional serological tests to include multiplex quantification of immunoglobulin isotypes and subclasses, utilize universal reference standards, and minimize cross-reactivity and non-specific binding will facilitate the development of assays with higher diagnostic specificity. Improved serological assays with higher diagnostic specificity will enable screenings of asymptomatic populations and may provide earlier detection of infectious diseases, autoimmune disorders, and cancer. In this review, we present the major clinical needs for serological diagnostics, overview conventional immunoassay detection techniques, present the emerging immunoassay detection technologies, and discuss in detail the advantages and limitations of mass spectrometry and immunoaffinity proteomics for serological diagnostics. Finally, we explore the design of novel immunoaffinity-proteomic assays to evaluate cell-mediated immunity and advance the sequencing of clinically relevant immunoglobulins.
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Affiliation(s)
- Jonathan Walter
- Division of Analytical and Environmental Toxicology, Department of Laboratory Medicine and Pathology, Faculty of Medicine and Dentistry, University of Alberta, 10-102 Clinical Sciences Building, Edmonton, AB, T6G 2G3, Canada
| | - Zicki Eludin
- Division of Analytical and Environmental Toxicology, Department of Laboratory Medicine and Pathology, Faculty of Medicine and Dentistry, University of Alberta, 10-102 Clinical Sciences Building, Edmonton, AB, T6G 2G3, Canada
| | - Andrei P Drabovich
- Division of Analytical and Environmental Toxicology, Department of Laboratory Medicine and Pathology, Faculty of Medicine and Dentistry, University of Alberta, 10-102 Clinical Sciences Building, Edmonton, AB, T6G 2G3, Canada.
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34
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He W, Ou T, Skamangas N, Bailey CC, Bronkema N, Guo Y, Yin Y, Kobzarenko V, Zhang X, Pan A, Liu X, Xu J, Zhang L, Allwardt AE, Mitra D, Quinlan B, Sanders RW, Choe H, Farzan M. Heavy-chain CDR3-engineered B cells facilitate in vivo evaluation of HIV-1 vaccine candidates. Immunity 2023; 56:2408-2424.e6. [PMID: 37531955 PMCID: PMC11092302 DOI: 10.1016/j.immuni.2023.07.003] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 05/09/2023] [Accepted: 07/05/2023] [Indexed: 08/04/2023]
Abstract
V2-glycan/apex broadly neutralizing antibodies (bnAbs) recognize a closed quaternary epitope of the HIV-1 envelope glycoprotein (Env). This closed structure is necessary to elicit apex antibodies and useful to guide the maturation of other bnAb classes. To compare antigens designed to maintain this conformation, we evaluated apex-specific responses in mice engrafted with a diverse repertoire of B cells expressing the HCDR3 of the apex bnAb VRC26.25. Engineered B cells affinity matured, guiding the improvement of VRC26.25 itself. We found that soluble Env (SOSIP) variants differed significantly in their ability to raise anti-apex responses. A transmembrane SOSIP (SOSIP-TM) delivered as an mRNA-lipid nanoparticle elicited more potent neutralizing responses than multimerized SOSIP proteins. Importantly, SOSIP-TM elicited neutralizing sera from B cells engineered with the predicted VRC26.25-HCDR3 progenitor, which also affinity matured. Our data show that HCDR3-edited B cells facilitate efficient in vivo comparisons of Env antigens and highlight the potential of an HCDR3-focused vaccine approach.
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Affiliation(s)
- Wenhui He
- Division of Infectious Disease, Boston Children's Hospital, Boston, MA 02115, USA; The Center for Integrated Solutions to Infectious Diseases, The Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA; Department of Immunology and Microbiology, UF Scripps Biomedical Research, Jupiter, FL 33458, USA
| | - Tianling Ou
- Division of Infectious Disease, Boston Children's Hospital, Boston, MA 02115, USA; The Center for Integrated Solutions to Infectious Diseases, The Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA; Department of Immunology and Microbiology, UF Scripps Biomedical Research, Jupiter, FL 33458, USA
| | - Nickolas Skamangas
- Division of Infectious Disease, Boston Children's Hospital, Boston, MA 02115, USA; Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA; Department of Immunology and Microbiology, UF Scripps Biomedical Research, Jupiter, FL 33458, USA
| | - Charles C Bailey
- The Center for Integrated Solutions to Infectious Diseases, The Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Immunology and Microbiology, UF Scripps Biomedical Research, Jupiter, FL 33458, USA
| | - Naomi Bronkema
- Division of Infectious Disease, Boston Children's Hospital, Boston, MA 02115, USA; The Center for Integrated Solutions to Infectious Diseases, The Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Skaggs Graduate School, Scripps Research, La Jolla, CA 92037, USA
| | - Yan Guo
- Department of Immunology and Microbiology, UF Scripps Biomedical Research, Jupiter, FL 33458, USA
| | - Yiming Yin
- Division of Infectious Disease, Boston Children's Hospital, Boston, MA 02115, USA; Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA
| | - Valerie Kobzarenko
- Department of Computer Engineering and Sciences, Florida Institute of Technology, Melbourne, FL 32901, USA
| | - Xia Zhang
- Department of Immunology and Microbiology, UF Scripps Biomedical Research, Jupiter, FL 33458, USA
| | - Andi Pan
- Division of Infectious Disease, Boston Children's Hospital, Boston, MA 02115, USA; The Center for Integrated Solutions to Infectious Diseases, The Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Skaggs Graduate School, Scripps Research, La Jolla, CA 92037, USA
| | - Xin Liu
- Division of Infectious Disease, Boston Children's Hospital, Boston, MA 02115, USA; The Center for Integrated Solutions to Infectious Diseases, The Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA
| | - Jinge Xu
- Division of Infectious Disease, Boston Children's Hospital, Boston, MA 02115, USA; The Center for Integrated Solutions to Infectious Diseases, The Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA
| | - Lizhou Zhang
- Division of Infectious Disease, Boston Children's Hospital, Boston, MA 02115, USA; Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA; Department of Immunology and Microbiology, UF Scripps Biomedical Research, Jupiter, FL 33458, USA
| | - Ava E Allwardt
- Division of Infectious Disease, Boston Children's Hospital, Boston, MA 02115, USA; Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA
| | - Debasis Mitra
- Department of Computer Engineering and Sciences, Florida Institute of Technology, Melbourne, FL 32901, USA
| | - Brian Quinlan
- Department of Immunology and Microbiology, UF Scripps Biomedical Research, Jupiter, FL 33458, USA
| | - Rogier W Sanders
- Department of Medical Microbiology, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Hyeryun Choe
- Division of Infectious Disease, Boston Children's Hospital, Boston, MA 02115, USA; Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA
| | - Michael Farzan
- Division of Infectious Disease, Boston Children's Hospital, Boston, MA 02115, USA; The Center for Integrated Solutions to Infectious Diseases, The Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA; Skaggs Graduate School, Scripps Research, La Jolla, CA 92037, USA.
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35
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Liu L, Casner RG, Guo Y, Wang Q, Iketani S, Chan JFW, Yu J, Dadonaite B, Nair MS, Mohri H, Reddem ER, Yuan S, Poon VKM, Chan CCS, Yuen KY, Sheng Z, Huang Y, Bloom JD, Shapiro L, Ho DD. Antibodies targeting a quaternary site on SARS-CoV-2 spike glycoprotein prevent viral receptor engagement by conformational locking. Immunity 2023; 56:2442-2455.e8. [PMID: 37776849 PMCID: PMC10588992 DOI: 10.1016/j.immuni.2023.09.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2023] [Revised: 07/10/2023] [Accepted: 09/06/2023] [Indexed: 10/02/2023]
Abstract
SARS-CoV-2 continues to evolve, with many variants evading clinically authorized antibodies. To isolate monoclonal antibodies (mAbs) with broadly neutralizing capacities against the virus, we screened serum samples from convalescing COVID-19 patients. We isolated two mAbs, 12-16 and 12-19, which neutralized all SARS-CoV-2 variants tested, including the XBB subvariants, and prevented infection in hamsters challenged with Omicron BA.1 intranasally. Structurally, both antibodies targeted a conserved quaternary epitope located at the interface between the N-terminal domain and subdomain 1, uncovering a site of vulnerability on SARS-CoV-2 spike. These antibodies prevented viral receptor engagement by locking the receptor-binding domain (RBD) of spike in the down conformation, revealing a mechanism of virus neutralization for non-RBD antibodies. Deep mutational scanning showed that SARS-CoV-2 could mutate to escape 12-19, but such mutations are rarely found in circulating viruses. Antibodies 12-16 and 12-19 hold promise as prophylactic agents for immunocompromised persons who do not respond robustly to COVID-19 vaccines.
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Affiliation(s)
- Lihong Liu
- Aaron Diamond AIDS Research Center, Columbia University Vagelos College of Physicians and Surgeons, New York, NY 10032, USA; Division of Infectious Diseases, Department of Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, NY 10032, USA.
| | - Ryan G Casner
- Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY 10027, USA; Department of Biochemistry and Molecular Biophysics, Columbia University Vagelos College of Physicians and Surgeons, New York, NY 10032, USA
| | - Yicheng Guo
- Aaron Diamond AIDS Research Center, Columbia University Vagelos College of Physicians and Surgeons, New York, NY 10032, USA
| | - Qian Wang
- Aaron Diamond AIDS Research Center, Columbia University Vagelos College of Physicians and Surgeons, New York, NY 10032, USA
| | - Sho Iketani
- Aaron Diamond AIDS Research Center, Columbia University Vagelos College of Physicians and Surgeons, New York, NY 10032, USA
| | - Jasper Fuk-Woo Chan
- State Key Laboratory of Emerging Infectious Diseases, Carol Yu Centre for Infection, Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China; Centre for Virology, Vaccinology and Therapeutics, Health@InnoHK, Hong Kong Special Administrative Region, China
| | - Jian Yu
- Aaron Diamond AIDS Research Center, Columbia University Vagelos College of Physicians and Surgeons, New York, NY 10032, USA
| | - Bernadeta Dadonaite
- Basic Sciences Division and Computational Biology Program, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
| | - Manoj S Nair
- Aaron Diamond AIDS Research Center, Columbia University Vagelos College of Physicians and Surgeons, New York, NY 10032, USA
| | - Hiroshi Mohri
- Aaron Diamond AIDS Research Center, Columbia University Vagelos College of Physicians and Surgeons, New York, NY 10032, USA
| | - Eswar R Reddem
- Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY 10027, USA; Department of Biochemistry and Molecular Biophysics, Columbia University Vagelos College of Physicians and Surgeons, New York, NY 10032, USA
| | - Shuofeng Yuan
- State Key Laboratory of Emerging Infectious Diseases, Carol Yu Centre for Infection, Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China; Centre for Virology, Vaccinology and Therapeutics, Health@InnoHK, Hong Kong Special Administrative Region, China
| | - Vincent Kwok-Man Poon
- State Key Laboratory of Emerging Infectious Diseases, Carol Yu Centre for Infection, Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China; Centre for Virology, Vaccinology and Therapeutics, Health@InnoHK, Hong Kong Special Administrative Region, China
| | - Chris Chung-Sing Chan
- State Key Laboratory of Emerging Infectious Diseases, Carol Yu Centre for Infection, Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China; Centre for Virology, Vaccinology and Therapeutics, Health@InnoHK, Hong Kong Special Administrative Region, China
| | - Kwok-Yung Yuen
- State Key Laboratory of Emerging Infectious Diseases, Carol Yu Centre for Infection, Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China; Centre for Virology, Vaccinology and Therapeutics, Health@InnoHK, Hong Kong Special Administrative Region, China
| | - Zizhang Sheng
- Aaron Diamond AIDS Research Center, Columbia University Vagelos College of Physicians and Surgeons, New York, NY 10032, USA
| | - Yaoxing Huang
- Aaron Diamond AIDS Research Center, Columbia University Vagelos College of Physicians and Surgeons, New York, NY 10032, USA
| | - Jesse D Bloom
- Basic Sciences Division and Computational Biology Program, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA; Howard Hughes Medical Institute, Seattle, WA 98195, USA
| | - Lawrence Shapiro
- Aaron Diamond AIDS Research Center, Columbia University Vagelos College of Physicians and Surgeons, New York, NY 10032, USA; Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY 10027, USA; Department of Biochemistry and Molecular Biophysics, Columbia University Vagelos College of Physicians and Surgeons, New York, NY 10032, USA.
| | - David D Ho
- Aaron Diamond AIDS Research Center, Columbia University Vagelos College of Physicians and Surgeons, New York, NY 10032, USA; Division of Infectious Diseases, Department of Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, NY 10032, USA; Department of Microbiology and Immunology, Columbia University Vagelos College of Physicians and Surgeons, New York, NY 10032, USA.
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Berckmueller K, Thomas J, Taha EA, Choo S, Madhu R, Kanestrom G, Rupert PB, Strong R, Kiem HP, Radtke S. CD90-targeted lentiviral vectors for HSC gene therapy. Mol Ther 2023; 31:2901-2913. [PMID: 37550965 PMCID: PMC10556220 DOI: 10.1016/j.ymthe.2023.08.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 06/12/2023] [Accepted: 08/03/2023] [Indexed: 08/09/2023] Open
Abstract
Hematopoietic stem cell (HSC) gene therapy is currently performed on CD34+ hematopoietic stem and progenitor cells containing less than 1% true HSCs and requiring a highly specialized infrastructure for cell manufacturing and transplantation. We have previously identified the CD34+CD90+ subset to be exclusively responsible for short- and long-term engraftment. However, purification and enrichment of this subset is laborious and expensive. HSC-specific delivery agents for the direct modification of rare HSCs are currently lacking. Here, we developed novel targeted viral vectors to specifically transduce CD90-expressing HSCs. Anti-CD90 single chain variable fragments (scFvs) were engineered onto measles- and VSV-G-pseudotyped lentiviral vectors that were knocked out for native targeting. We further developed a custom hydrodynamic titration methodology to assess the loading of surface-engineered capsids, measure antigen recognition of the scFv, and predict the performance on cells. Engineered vectors formed with minimal impairment in the functional titer, maintained their ability to fuse with the target cells, and showed highly specific recognition of CD90 on cells ex vivo. Most important, targeted vectors selectively transduced human HSCs with secondary colony-forming potential. Our novel HSC-targeted viral vectors have the potential to significantly enhance the feasibility of ex vivo gene therapy and pave the way for future in vivo applications.
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Affiliation(s)
- Kurt Berckmueller
- Stem Cell and Gene Therapy Program, Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
| | - Justin Thomas
- Stem Cell and Gene Therapy Program, Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
| | - Eman A Taha
- Stem Cell and Gene Therapy Program, Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA; Department of Biochemistry, Ain Shams University Faculty of Science, Cairo 11566, Egypt
| | - Seunga Choo
- Stem Cell and Gene Therapy Program, Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
| | - Ravishankar Madhu
- Stem Cell and Gene Therapy Program, Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
| | - Greta Kanestrom
- Stem Cell and Gene Therapy Program, Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
| | - Peter B Rupert
- Basic Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
| | - Roland Strong
- Basic Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
| | - Hans-Peter Kiem
- Stem Cell and Gene Therapy Program, Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA; Department of Medicine, University of Washington School of Medicine, Seattle, WA 98195, USA; Department of Pathology, University of Washington School of Medicine, Seattle, WA 98195, USA.
| | - Stefan Radtke
- Stem Cell and Gene Therapy Program, Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA.
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Früh SP, Adu OF, López-Astacio RA, Weichert WS, Wasik BR, Parrish CR. Isolation, cloning and analysis of parvovirus-specific canine antibodies from peripheral blood B cells. DEVELOPMENTAL AND COMPARATIVE IMMUNOLOGY 2023; 147:104894. [PMID: 37467826 PMCID: PMC10542859 DOI: 10.1016/j.dci.2023.104894] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Revised: 07/05/2023] [Accepted: 07/16/2023] [Indexed: 07/21/2023]
Abstract
B-cell cloning methods enable the analysis of antibody responses against target antigens and can be used to reveal the host antibody repertoire, antigenic sites (epitopes), and details of protective immunity against pathogens. Here, we describe improved methods for isolation of canine peripheral blood B cells producing antibodies against canine parvovirus (CPV) capsids by fluorescence-activated cell sorting, followed by cell cloning. We cultured sorted B cells from an immunized dog in vitro and screened for CPV-specific antibody production. Updated canine-specific primer sets were used to amplify and clone the heavy and light chain immunoglobulin sequences directly from the B cells by reverse transcription and PCR. Monoclonal canine IgGs were produced by cloning heavy and light chain sequences into antibody expression vectors, which were screened for CPV binding. Three different canine monoclonal antibodies were analyzed, including two that shared the same heavy chain, and one that had distinct heavy and light chains. The antibodies showed broad binding to CPV variants, and epitopes were mapped to antigenic sites on the capsid. The methods described here are applicable for the isolation of canine B cells and monoclonal antibodies against many antigens.
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Affiliation(s)
- Simon P Früh
- Baker Institute for Animal Health, Department of Microbiology and Immunology, College of Veterinary Medicine, Cornell University, Ithaca, NY, 14853, USA; Department of Veterinary Sciences, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Oluwafemi F Adu
- Baker Institute for Animal Health, Department of Microbiology and Immunology, College of Veterinary Medicine, Cornell University, Ithaca, NY, 14853, USA
| | - Robert A López-Astacio
- Baker Institute for Animal Health, Department of Microbiology and Immunology, College of Veterinary Medicine, Cornell University, Ithaca, NY, 14853, USA
| | - Wendy S Weichert
- Baker Institute for Animal Health, Department of Microbiology and Immunology, College of Veterinary Medicine, Cornell University, Ithaca, NY, 14853, USA
| | - Brian R Wasik
- Baker Institute for Animal Health, Department of Microbiology and Immunology, College of Veterinary Medicine, Cornell University, Ithaca, NY, 14853, USA
| | - Colin R Parrish
- Baker Institute for Animal Health, Department of Microbiology and Immunology, College of Veterinary Medicine, Cornell University, Ithaca, NY, 14853, USA.
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Mitchell KG, Gong B, Hunter SS, Burkart-Waco D, Gavira-O'Neill CE, Templeton KM, Goethel ME, Bzymek M, MacNiven LM, Murray KD, Settles ML, Froenicke L, Trimmer JS. High-volume hybridoma sequencing on the NeuroMabSeq platform enables efficient generation of recombinant monoclonal antibodies and scFvs for neuroscience research. Sci Rep 2023; 13:16200. [PMID: 37758930 PMCID: PMC10533561 DOI: 10.1038/s41598-023-43233-4] [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: 06/28/2023] [Accepted: 09/21/2023] [Indexed: 09/29/2023] Open
Abstract
The Neuroscience Monoclonal Antibody Sequencing Initiative (NeuroMabSeq) is a concerted effort to determine and make publicly available hybridoma-derived sequences of monoclonal antibodies (mAbs) valuable to neuroscience research. Over 30 years of research and development efforts including those at the UC Davis/NIH NeuroMab Facility have resulted in the generation of a large collection of mouse mAbs validated for neuroscience research. To enhance dissemination and increase the utility of this valuable resource, we applied a high-throughput DNA sequencing approach to determine immunoglobulin heavy and light chain variable domain sequences from source hybridoma cells. The resultant set of sequences was made publicly available as a searchable DNA sequence database (neuromabseq.ucdavis.edu) for sharing, analysis and use in downstream applications. We enhanced the utility, transparency, and reproducibility of the existing mAb collection by using these sequences to develop recombinant mAbs. This enabled their subsequent engineering into alternate forms with distinct utility, including alternate modes of detection in multiplexed labeling, and as miniaturized single chain variable fragments or scFvs. The NeuroMabSeq website and database and the corresponding recombinant antibody collection together serve as a public DNA sequence repository of mouse mAb heavy and light chain variable domain sequences and as an open resource for enhancing dissemination and utility of this valuable collection of validated mAbs.
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Affiliation(s)
- Keith G Mitchell
- Department of Physiology and Membrane Biology, University of California Davis School of Medicine, Davis, Davis, CA, USA
- Bioinformatics Core, Genome Center, University of California Davis, Davis, CA, USA
| | - Belvin Gong
- Department of Physiology and Membrane Biology, University of California Davis School of Medicine, Davis, Davis, CA, USA
| | - Samuel S Hunter
- Bioinformatics Core, Genome Center, University of California Davis, Davis, CA, USA
| | - Diana Burkart-Waco
- DNA Technology Core, Genome Center, University of California Davis, Davis, CA, USA
| | - Clara E Gavira-O'Neill
- Department of Physiology and Membrane Biology, University of California Davis School of Medicine, Davis, Davis, CA, USA
| | - Kayla M Templeton
- Department of Physiology and Membrane Biology, University of California Davis School of Medicine, Davis, Davis, CA, USA
| | - Madeline E Goethel
- Department of Physiology and Membrane Biology, University of California Davis School of Medicine, Davis, Davis, CA, USA
| | - Malgorzata Bzymek
- Department of Physiology and Membrane Biology, University of California Davis School of Medicine, Davis, Davis, CA, USA
| | - Leah M MacNiven
- Department of Physiology and Membrane Biology, University of California Davis School of Medicine, Davis, Davis, CA, USA
| | - Karl D Murray
- Department of Physiology and Membrane Biology, University of California Davis School of Medicine, Davis, Davis, CA, USA
- Department of Psychiatry and Behavioral Sciences, University of California Davis School of Medicine, Davis, Davis, CA, USA
| | - Matthew L Settles
- Bioinformatics Core, Genome Center, University of California Davis, Davis, CA, USA
| | - Lutz Froenicke
- DNA Technology Core, Genome Center, University of California Davis, Davis, CA, USA
| | - James S Trimmer
- Department of Physiology and Membrane Biology, University of California Davis School of Medicine, Davis, Davis, CA, USA.
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39
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Tsai CY, Sakakibara S, Kuan YD, Omori H, El Hussien MA, Okuzaki D, Lu SL, Noda T, Tabata K, Nakamura S, Yoshimori T, Kikutani H. Opposing roles of RUBCN isoforms in autophagy and memory B cell generation. Sci Signal 2023; 16:eade3599. [PMID: 37725663 DOI: 10.1126/scisignal.ade3599] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Accepted: 08/23/2023] [Indexed: 09/21/2023]
Abstract
RUBCN (also known as Rubicon) was originally identified as a negative regulator of autophagy, a process by which cells degrade and recycle damaged components or organelles and that requires the activity of the class III PI3K VPS34 and the mTORC1 protein complex. Here, we characterized the role of a shorter isoform, RUBCN100, as an autophagy-promoting factor in B cells. RUBCN100 was translated from alternative translation initiation sites and lacked the RUN domain of the longer, previously characterized RUBCN130 isoform. Specific deficiency of RUBCN130 in B cells enhanced autophagy, which promoted memory B cell generation. In contrast to RUBCN130, which is localized in late endosomes and lysosomes and suppresses the enzymatic activity of VPS34, an effect thought to mediated by its RUN domain, RUBCN100 was preferentially located in early endosomes and enhanced VPS34 activity, presumably because of the absence of the RUN domain. Furthermore, RUBCN100, but not RUBCN130, enhanced autophagy and suppressed mTORC1 activation. Our findings reveal that the opposing roles of two RUBCN isoforms are critical for autophagy regulation and memory B cell differentiation.
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Affiliation(s)
- Chao-Yuan Tsai
- Laboratory of Immune Regulation, Immunology Frontier Research Center, Osaka University, Suita, Osaka 565-0871, Japan
| | - Shuhei Sakakibara
- Laboratory of Immune Regulation, Immunology Frontier Research Center, Osaka University, Suita, Osaka 565-0871, Japan
| | - Yu-Diao Kuan
- Laboratory of Immune Regulation, Immunology Frontier Research Center, Osaka University, Suita, Osaka 565-0871, Japan
| | - Hiroko Omori
- Core Instrumentation Facility, Research Institute for Microbial Diseases, Osaka University, Suita, Osaka 565-0871, Japan
| | - Maruwa Ali El Hussien
- Laboratory of Immune Regulation, Immunology Frontier Research Center, Osaka University, Suita, Osaka 565-0871, Japan
| | - Daisuke Okuzaki
- Single Cell Genomics, Human Immunology, Immunology Frontier Research Center, Osaka University, Suita, Osaka 565-0871, Japan
- Genome Information Research Center, Research Institute for Microbial Diseases, Osaka University, Suita, Osaka 565-0871, Japan
| | - Shiou-Ling Lu
- Center for Frontier Oral Science, Graduate School of Dentistry, Osaka University, Suita, Osaka 565-0871, Japan
| | - Takeshi Noda
- Center for Frontier Oral Science, Graduate School of Dentistry, Osaka University, Suita, Osaka 565-0871, Japan
| | - Keisuke Tabata
- Department of Genetics, Graduate School of Medicine, Osaka University, Suita, Osaka 565-0871, Japan
- Laboratory of Intracellular Membrane Dynamics, Graduate School of Frontier Biosciences, Osaka University, Suita, Osaka 565-0871, Japan
| | - Shuhei Nakamura
- Department of Genetics, Graduate School of Medicine, Osaka University, Suita, Osaka 565-0871, Japan
- Laboratory of Intracellular Membrane Dynamics, Graduate School of Frontier Biosciences, Osaka University, Suita, Osaka 565-0871, Japan
| | - Tamotsu Yoshimori
- Department of Genetics, Graduate School of Medicine, Osaka University, Suita, Osaka 565-0871, Japan
- Laboratory of Intracellular Membrane Dynamics, Graduate School of Frontier Biosciences, Osaka University, Suita, Osaka 565-0871, Japan
- Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives (OTRI), Osaka University, Suita, Osaka 565-0871, Japan
| | - Hitoshi Kikutani
- Laboratory of Immune Regulation, Immunology Frontier Research Center, Osaka University, Suita, Osaka 565-0871, Japan
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Harmsen MM, Cornelissen JC, van der Wal FJ, Bergervoet JHW, Koene M. Single-Domain Antibody Multimers for Detection of Botulinum Neurotoxin Serotypes C, D, and Their Mosaics in Endopep-MS. Toxins (Basel) 2023; 15:573. [PMID: 37755999 PMCID: PMC10535107 DOI: 10.3390/toxins15090573] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Revised: 09/12/2023] [Accepted: 09/14/2023] [Indexed: 09/28/2023] Open
Abstract
Botulinum neurotoxins (BoNTs) are highly toxic proteins that require high-affinity immunocapture reagents for use in endopeptidase-based assays. Here, 30 novel and 2 earlier published llama single-domain antibodies (VHHs) against the veterinary-relevant BoNT serotypes C and D were yeast-produced. These VHHs recognized 10 independent antigenic sites, and many cross-reacted with the BoNT/DC and CD mosaic variants. As VHHs are highly suitable for genetically linking to increase antigen-binding affinity, 52 VHH multimers were produced and their affinity for BoNT/C, D, DC, and CD was determined. A selection of 15 multimers with high affinity (KD < 0.1 nM) was further shown to be resilient to a high salt wash that is used for samples from complex matrices and bound native BoNTs from culture supernatants as shown by Endopep-MS. High-affinity multimers suitable for further development of a highly sensitive Endopep-MS assay include four multimers that bind both BoNT/D and CD with KD of 14-99 pM, one multimer for BoNT/DC (65 pM) that also binds BoNT/C (75 pM), and seven multimers for BoNT/C (<1-19 pM), six of which also bind BoNT/DC with lower affinity (93-508 pM). In addition to application in diagnostic tests, these VHHs could be used for the development of novel therapeutics for animals or humans.
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Affiliation(s)
- Michiel M. Harmsen
- Wageningen Bioveterinary Research, Wageningen University & Research, 8221 RA Lelystad, The Netherlands (F.J.v.d.W.)
| | - Jan C. Cornelissen
- Wageningen Bioveterinary Research, Wageningen University & Research, 8221 RA Lelystad, The Netherlands (F.J.v.d.W.)
| | - Fimme J. van der Wal
- Wageningen Bioveterinary Research, Wageningen University & Research, 8221 RA Lelystad, The Netherlands (F.J.v.d.W.)
| | - Jan H. W. Bergervoet
- Wageningen Plant Research, Wageningen University & Research, 6708 PB Wageningen, The Netherlands
| | - Miriam Koene
- Wageningen Bioveterinary Research, Wageningen University & Research, 8221 RA Lelystad, The Netherlands (F.J.v.d.W.)
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41
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Fast E, Dhar M, Chen B. TAPIR: a T-cell receptor language model for predicting rare and novel targets. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.09.12.557285. [PMID: 37745475 PMCID: PMC10515850 DOI: 10.1101/2023.09.12.557285] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/26/2023]
Abstract
T-cell receptors (TCRs) are involved in most human diseases, but linking their sequences with their targets remains an unsolved grand challenge in the field. In this study, we present TAPIR (T-cell receptor and Peptide Interaction Recognizer), a T-cell receptor (TCR) language model that predicts TCR-target interactions, with a focus on novel and rare targets. TAPIR employs deep convolutional neural network (CNN) encoders to process TCR and target sequences across flexible representations (e.g., beta-chain only, unknown MHC allele, etc.) and learns patterns of interactivity via several training tasks. This flexibility allows TAPIR to train on more than 50k either paired (alpha and beta chain) or unpaired TCRs (just alpha or beta chain) from public and proprietary databases against 1933 unique targets. TAPIR demonstrates state-of-the-art performance when predicting TCR interactivity against common benchmark targets and is the first method to demonstrate strong performance when predicting TCR interactivity against novel targets, where no examples are provided in training. TAPIR is also capable of predicting TCR interaction against MHC alleles in the absence of target information. Leveraging these capabilities, we apply TAPIR to cancer patient TCR repertoires and identify and validate a novel and potent anti-cancer T-cell receptor against a shared cancer neoantigen target (PIK3CA H1047L). We further show how TAPIR, when extended with a generative neural network, is capable of directly designing T-cell receptor sequences that interact with a target of interest.
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Affiliation(s)
- Ethan Fast
- Vcreate, Inc., Menlo Park, CA, 94025, USA
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42
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Vitallé J, Zenarruzabeitia O, Merino-Pérez A, Terrén I, Orrantia A, Pacho de Lucas A, Iribarren JA, García-Fraile LJ, Balsalobre L, Amo L, de Andrés B, Borrego F. Human IgM hiCD300a + B Cells Are Circulating Marginal Zone Memory B Cells That Respond to Pneumococcal Polysaccharides and Their Frequency Is Decreased in People Living with HIV. Int J Mol Sci 2023; 24:13754. [PMID: 37762055 PMCID: PMC10530418 DOI: 10.3390/ijms241813754] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 08/18/2023] [Accepted: 08/29/2023] [Indexed: 09/29/2023] Open
Abstract
CD300a is differentially expressed among B cell subsets, although its expression in immunoglobulin (Ig)M+ B cells is not well known. We identified a B cell subset expressing CD300a and high levels of IgM (IgMhiCD300a+). The results showed that IgMhiCD300a+ B cells were CD10-CD27+CD25+IgDloCD21hiCD23-CD38loCD1chi, suggesting that they are circulating marginal zone (MZ) IgM memory B cells. Regarding the immunoglobulin repertoire, IgMhiCD300a+ B cells exhibited a higher mutation rate and usage of the IgH-VDJ genes than the IgM+CD300a- counterpart. Moreover, the shorter complementarity-determining region 3 (CDR3) amino acid (AA) length from IgMhiCD300a+ B cells together with the predicted antigen experience repertoire indicates that this B cell subset has a memory phenotype. IgM memory B cells are important in T cell-independent responses. Accordingly, we demonstrate that this particular subset secretes higher amounts of IgM after stimulation with pneumococcal polysaccharides or a toll-like receptor 9 (TLR9) agonist than IgM+CD300a- cells. Finally, the frequency of IgMhiCD300a+ B cells was lower in people living with HIV-1 (PLWH) and it was inversely correlated with the years with HIV infection. Altogether, these data help to identify a memory B cell subset that contributes to T cell-independent responses to pneumococcal infections and may explain the increase in severe pneumococcal infections and the impaired responses to pneumococcal vaccination in PLWH.
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Affiliation(s)
- Joana Vitallé
- Immunopathology Group, Biocruces Bizkaia Health Research Institute, 48903 Barakaldo, Spain; (O.Z.); (A.M.-P.); (I.T.); (A.O.); (L.A.)
- Instituto de Biomedicina de Sevilla (IBiS), Virgen del Rocío University Hospital, CSIC, University of Seville, 41013 Seville, Spain
| | - Olatz Zenarruzabeitia
- Immunopathology Group, Biocruces Bizkaia Health Research Institute, 48903 Barakaldo, Spain; (O.Z.); (A.M.-P.); (I.T.); (A.O.); (L.A.)
| | - Aitana Merino-Pérez
- Immunopathology Group, Biocruces Bizkaia Health Research Institute, 48903 Barakaldo, Spain; (O.Z.); (A.M.-P.); (I.T.); (A.O.); (L.A.)
| | - Iñigo Terrén
- Immunopathology Group, Biocruces Bizkaia Health Research Institute, 48903 Barakaldo, Spain; (O.Z.); (A.M.-P.); (I.T.); (A.O.); (L.A.)
| | - Ane Orrantia
- Immunopathology Group, Biocruces Bizkaia Health Research Institute, 48903 Barakaldo, Spain; (O.Z.); (A.M.-P.); (I.T.); (A.O.); (L.A.)
| | - Arantza Pacho de Lucas
- Regulation of the Immune System Group, Biocruces Bizkaia Health Research Institute, 48903 Barakaldo, Spain;
- Immunology Service, Cruces University Hospital, 48903 Barakaldo, Spain
| | - José A. Iribarren
- Department of Infectious Diseases, Donostia University Hospital, Biodonostia Health Research Institute, 20014 Donostia-San Sebastián, Spain;
| | - Lucio J. García-Fraile
- CIBER de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, 28029 Madrid, Spain;
- Department of Internal Medicine, La Princesa University Hospital, 28006 Madrid, Spain
| | - Luz Balsalobre
- Laboratory of Microbiology, UR Salud, Infanta Sofía University Hospital, 28702 Madrid, Spain;
| | - Laura Amo
- Immunopathology Group, Biocruces Bizkaia Health Research Institute, 48903 Barakaldo, Spain; (O.Z.); (A.M.-P.); (I.T.); (A.O.); (L.A.)
- Ikerbasque, Basque Foundation for Science, 48009 Bilbao, Spain
| | - Belén de Andrés
- Immunobiology Department, Carlos III Health Institute, 28220 Madrid, Spain;
| | - Francisco Borrego
- Immunopathology Group, Biocruces Bizkaia Health Research Institute, 48903 Barakaldo, Spain; (O.Z.); (A.M.-P.); (I.T.); (A.O.); (L.A.)
- Ikerbasque, Basque Foundation for Science, 48009 Bilbao, Spain
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Ott JA, Mitchell C, Sheppard M, Deiss TC, Horton JMC, Haakenson JK, Huang R, Kelley AR, Davis BW, Derr JN, Smider VV, Criscitiello MF. Evolution of immunogenetic components encoding ultralong CDR H3. Immunogenetics 2023; 75:323-339. [PMID: 37084012 PMCID: PMC10119515 DOI: 10.1007/s00251-023-01305-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2023] [Accepted: 04/03/2023] [Indexed: 04/22/2023]
Abstract
The genomes of most vertebrates contain many V, D, and J gene segments within their Ig loci to construct highly variable CDR3 sequences through combinatorial diversity. This nucleotide variability translates into an antibody population containing extensive paratope diversity. Cattle have relatively few functional VDJ gene segments, requiring innovative approaches for generating diversity like the use of ultralong-encoding IGHV and IGHD gene segments that yield dramatically elongated CDR H3. Unique knob and stalk microdomains create protracted paratopes, where the antigen-binding knob sits atop a long stalk, allowing the antibody to bind both surface and recessed antigen epitopes. We examined genomes of twelve species of Bovidae to determine when ultralong-encoding IGHV and IGHD gene segments evolved. We located the 8-bp duplication encoding the unique TTVHQ motif in ultralong IGHV segments in six Bovid species (cattle, zebu, wild yak, domestic yak, American bison, and domestic gayal), but we did not find evidence of the duplication in species beyond the Bos and Bison genera. Additionally, we analyzed mRNA from bison spleen and identified a rich repertoire of expressed ultralong CDR H3 antibody mRNA, suggesting that bison use ultralong IGHV transcripts in their host defense. We found ultralong-encoding IGHD gene segments in all the same species except domestic yak, but again not beyond the Bos and Bison clade. Thus, the duplication event leading to this ultralong-encoding IGHV gene segment and the emergence of the ultralong-encoding IGHD gene segment appears to have evolved in a common ancestor of the Bos and Bison genera 5-10 million years ago.
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Affiliation(s)
- Jeannine A Ott
- Comparative Immunogenetics Laboratory, Department of Veterinary Pathobiology, School of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, TX, USA
| | - Christian Mitchell
- Comparative Immunogenetics Laboratory, Department of Veterinary Pathobiology, School of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, TX, USA
| | - Morgan Sheppard
- Comparative Immunogenetics Laboratory, Department of Veterinary Pathobiology, School of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, TX, USA
| | - Thad C Deiss
- Comparative Immunogenetics Laboratory, Department of Veterinary Pathobiology, School of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, TX, USA
| | - J M Cody Horton
- Department of Veterinary Integrative Sciences, School of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, TX, USA
| | - Jeremy K Haakenson
- Applied Biomedical Science Institute, San Diego, CA, 92127, USA
- Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA, 92037, USA
| | - Ruiqi Huang
- Applied Biomedical Science Institute, San Diego, CA, 92127, USA
- Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA, 92037, USA
| | | | - Brian W Davis
- Department of Veterinary Integrative Sciences, School of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, TX, USA
| | - James N Derr
- Comparative Immunogenetics Laboratory, Department of Veterinary Pathobiology, School of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, TX, USA
| | - Vaughn V Smider
- Applied Biomedical Science Institute, San Diego, CA, 92127, USA
- Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA, 92037, USA
| | - Michael F Criscitiello
- Comparative Immunogenetics Laboratory, Department of Veterinary Pathobiology, School of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, TX, USA.
- Department of Microbial Pathogenesis and Immunology, College of Medicine, Texas A&M Health Science Center, Texas A&M University, Bryan, TX, 77807, USA.
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44
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Augusto DG, Murdolo LD, Chatzileontiadou DSM, Sabatino JJ, Yusufali T, Peyser ND, Butcher X, Kizer K, Guthrie K, Murray VW, Pae V, Sarvadhavabhatla S, Beltran F, Gill GS, Lynch KL, Yun C, Maguire CT, Peluso MJ, Hoh R, Henrich TJ, Deeks SG, Davidson M, Lu S, Goldberg SA, Kelly JD, Martin JN, Vierra-Green CA, Spellman SR, Langton DJ, Dewar-Oldis MJ, Smith C, Barnard PJ, Lee S, Marcus GM, Olgin JE, Pletcher MJ, Maiers M, Gras S, Hollenbach JA. A common allele of HLA is associated with asymptomatic SARS-CoV-2 infection. Nature 2023; 620:128-136. [PMID: 37468623 PMCID: PMC10396966 DOI: 10.1038/s41586-023-06331-x] [Citation(s) in RCA: 53] [Impact Index Per Article: 53.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Accepted: 06/15/2023] [Indexed: 07/21/2023]
Abstract
Studies have demonstrated that at least 20% of individuals infected with SARS-CoV-2 remain asymptomatic1-4. Although most global efforts have focused on severe illness in COVID-19, examining asymptomatic infection provides a unique opportunity to consider early immunological features that promote rapid viral clearance. Here, postulating that variation in the human leukocyte antigen (HLA) loci may underly processes mediating asymptomatic infection, we enrolled 29,947 individuals, for whom high-resolution HLA genotyping data were available, in a smartphone-based study designed to track COVID-19 symptoms and outcomes. Our discovery cohort (n = 1,428) comprised unvaccinated individuals who reported a positive test result for SARS-CoV-2. We tested for association of five HLA loci with disease course and identified a strong association between HLA-B*15:01 and asymptomatic infection, observed in two independent cohorts. Suggesting that this genetic association is due to pre-existing T cell immunity, we show that T cells from pre-pandemic samples from individuals carrying HLA-B*15:01 were reactive to the immunodominant SARS-CoV-2 S-derived peptide NQKLIANQF. The majority of the reactive T cells displayed a memory phenotype, were highly polyfunctional and were cross-reactive to a peptide derived from seasonal coronaviruses. The crystal structure of HLA-B*15:01-peptide complexes demonstrates that the peptides NQKLIANQF and NQKLIANAF (from OC43-CoV and HKU1-CoV) share a similar ability to be stabilized and presented by HLA-B*15:01. Finally, we show that the structural similarity of the peptides underpins T cell cross-reactivity of high-affinity public T cell receptors, providing the molecular basis for HLA-B*15:01-mediated pre-existing immunity.
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Affiliation(s)
- Danillo G Augusto
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
- Department of Biological Sciences, The University of North Carolina at Charlotte, Charlotte, NC, USA
- Programa de Pós-Graduação em Genética, Universidade Federal do Paraná, Curitiba, Brazil
| | - Lawton D Murdolo
- Department of Biochemistry and Chemistry, La Trobe Institute for Molecular Science, La Trobe University, Bundoora, Victoria, Australia
| | - Demetra S M Chatzileontiadou
- Department of Biochemistry and Chemistry, La Trobe Institute for Molecular Science, La Trobe University, Bundoora, Victoria, Australia
- Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Clayton, Victoria, Australia
| | - Joseph J Sabatino
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Tasneem Yusufali
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Noah D Peyser
- Division of Cardiology, Department of Medicine, University of California, San Francisco, CA, USA
| | - Xochitl Butcher
- Division of Cardiology, Department of Medicine, University of California, San Francisco, CA, USA
| | - Kerry Kizer
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Karoline Guthrie
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Victoria W Murray
- Division of HIV, Infectious Diseases and Global Medicine, Department of Medicine, University of California, San Francisco, CA, USA
| | - Vivian Pae
- Division of HIV, Infectious Diseases and Global Medicine, Department of Medicine, University of California, San Francisco, CA, USA
| | - Sannidhi Sarvadhavabhatla
- Division of HIV, Infectious Diseases and Global Medicine, Department of Medicine, University of California, San Francisco, CA, USA
| | - Fiona Beltran
- Division of HIV, Infectious Diseases and Global Medicine, Department of Medicine, University of California, San Francisco, CA, USA
| | - Gurjot S Gill
- Division of HIV, Infectious Diseases and Global Medicine, Department of Medicine, University of California, San Francisco, CA, USA
| | - Kara L Lynch
- Department of Laboratory Medicine, University of California, San Francisco, CA, USA
| | - Cassandra Yun
- Department of Laboratory Medicine, University of California, San Francisco, CA, USA
| | - Colin T Maguire
- Clinical and Translational Science Institute, University of Utah, Salt Lake City, UT, USA
| | - Michael J Peluso
- Division of HIV, Infectious Diseases and Global Medicine, Department of Medicine, University of California, San Francisco, CA, USA
| | - Rebecca Hoh
- Division of HIV, Infectious Diseases and Global Medicine, Department of Medicine, University of California, San Francisco, CA, USA
| | - Timothy J Henrich
- Division of Experimental Medicine, Department of Medicine, University of California, San Francisco, CA, USA
| | - Steven G Deeks
- Division of HIV, Infectious Diseases and Global Medicine, Department of Medicine, University of California, San Francisco, CA, USA
| | - Michelle Davidson
- Department of Medicine, University of California, San Francisco, CA, USA
| | - Scott Lu
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | - Sarah A Goldberg
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | - J Daniel Kelly
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
- F.I. Proctor Foundation, University of California, San Francisco, CA, USA
| | - Jeffrey N Martin
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | - Cynthia A Vierra-Green
- CIBMTR (Center for International Blood and Marrow Transplant Research), National Marrow Donor Program/Be The Match, Minneapolis, MN, USA
| | - Stephen R Spellman
- CIBMTR (Center for International Blood and Marrow Transplant Research), National Marrow Donor Program/Be The Match, Minneapolis, MN, USA
| | | | - Michael J Dewar-Oldis
- Department of Biochemistry and Chemistry, La Trobe Institute for Molecular Science, La Trobe University, Bundoora, Victoria, Australia
| | - Corey Smith
- QIMR Berghofer Centre for Immunotherapy and Vaccine Development Brisbane, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Peter J Barnard
- Department of Biochemistry and Chemistry, La Trobe Institute for Molecular Science, La Trobe University, Bundoora, Victoria, Australia
| | - Sulggi Lee
- Division of HIV, Infectious Diseases and Global Medicine, Department of Medicine, University of California, San Francisco, CA, USA
| | - Gregory M Marcus
- Division of Cardiology, Department of Medicine, University of California, San Francisco, CA, USA
| | - Jeffrey E Olgin
- Division of Cardiology, Department of Medicine, University of California, San Francisco, CA, USA
| | - Mark J Pletcher
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
- Division of General Internal Medicine, University of California, San Francisco, CA, USA
| | - Martin Maiers
- CIBMTR (Center for International Blood and Marrow Transplant Research), National Marrow Donor Program/Be The Match, Minneapolis, MN, USA
| | - Stephanie Gras
- Department of Biochemistry and Chemistry, La Trobe Institute for Molecular Science, La Trobe University, Bundoora, Victoria, Australia
- Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Clayton, Victoria, Australia
| | - Jill A Hollenbach
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA.
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA.
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Rodriguez OL, Safonova Y, Silver CA, Shields K, Gibson WS, Kos JT, Tieri D, Ke H, Jackson KJL, Boyd SD, Smith ML, Marasco WA, Watson CT. Genetic variation in the immunoglobulin heavy chain locus shapes the human antibody repertoire. Nat Commun 2023; 14:4419. [PMID: 37479682 PMCID: PMC10362067 DOI: 10.1038/s41467-023-40070-x] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Accepted: 07/11/2023] [Indexed: 07/23/2023] Open
Abstract
Variation in the antibody response has been linked to differential outcomes in disease, and suboptimal vaccine and therapeutic responsiveness, the determinants of which have not been fully elucidated. Countering models that presume antibodies are generated largely by stochastic processes, we demonstrate that polymorphisms within the immunoglobulin heavy chain locus (IGH) impact the naive and antigen-experienced antibody repertoire, indicating that genetics predisposes individuals to mount qualitatively and quantitatively different antibody responses. We pair recently developed long-read genomic sequencing methods with antibody repertoire profiling to comprehensively resolve IGH genetic variation, including novel structural variants, single nucleotide variants, and genes and alleles. We show that IGH germline variants determine the presence and frequency of antibody genes in the expressed repertoire, including those enriched in functional elements linked to V(D)J recombination, and overlapping disease-associated variants. These results illuminate the power of leveraging IGH genetics to better understand the regulation, function, and dynamics of the antibody response in disease.
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Affiliation(s)
- Oscar L Rodriguez
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, USA
| | - Yana Safonova
- Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
| | - Catherine A Silver
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, USA
| | - Kaitlyn Shields
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, USA
| | - William S Gibson
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, USA
| | - Justin T Kos
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, USA
| | - David Tieri
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, USA
| | - Hanzhong Ke
- Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | | | - Scott D Boyd
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Melissa L Smith
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, USA.
| | - Wayne A Marasco
- Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.
- Department of Medicine, Harvard Medical School, Boston, MA, USA.
| | - Corey T Watson
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, USA.
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46
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Mitchell KG, Gong B, Hunter SS, Burkart-Waco D, Gavira-O’Neill CE, Templeton KM, Goethel ME, Bzymek M, MacNiven LM, Murray KD, Settles ML, Froenicke L, Trimmer JS. NeuroMabSeq: high volume acquisition, processing, and curation of hybridoma sequences and their use in generating recombinant monoclonal antibodies and scFvs for neuroscience research. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.06.28.546392. [PMID: 37425915 PMCID: PMC10327083 DOI: 10.1101/2023.06.28.546392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/11/2023]
Abstract
The Neuroscience Monoclonal Antibody Sequencing Initiative (NeuroMabSeq) is a concerted effort to determine and make publicly available hybridoma-derived sequences of monoclonal antibodies (mAbs) valuable to neuroscience research. Over 30 years of research and development efforts including those at the UC Davis/NIH NeuroMab Facility have resulted in the generation of a large collection of mouse mAbs validated for neuroscience research. To enhance dissemination and increase the utility of this valuable resource, we applied a high-throughput DNA sequencing approach to determine immunoglobulin heavy and light chain variable domain sequences from source hybridoma cells. The resultant set of sequences was made publicly available as searchable DNA sequence database ( neuromabseq.ucdavis.edu ) for sharing, analysis and use in downstream applications. We enhanced the utility, transparency, and reproducibility of the existing mAb collection by using these sequences to develop recombinant mAbs. This enabled their subsequent engineering into alternate forms with distinct utility, including alternate modes of detection in multiplexed labeling, and as miniaturized single chain variable fragments or scFvs. The NeuroMabSeq website and database and the corresponding recombinant antibody collection together serve as a public DNA sequence repository of mouse mAb heavy and light chain variable domain sequences and as an open resource for enhancing dissemination and utility of this valuable collection of validated mAbs.
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Affiliation(s)
- Keith G. Mitchell
- Department of Physiology and Membrane Biology, University of California Davis School of Medicine, Davis, CA
- Bioinformatics Core, Genome Center, University of California Davis, CA
| | - Belvin Gong
- Department of Physiology and Membrane Biology, University of California Davis School of Medicine, Davis, CA
| | - Samuel S. Hunter
- Bioinformatics Core, Genome Center, University of California Davis, CA
| | | | - Clara E. Gavira-O’Neill
- Department of Physiology and Membrane Biology, University of California Davis School of Medicine, Davis, CA
| | - Kayla M. Templeton
- Department of Physiology and Membrane Biology, University of California Davis School of Medicine, Davis, CA
| | - Madeline E. Goethel
- Department of Physiology and Membrane Biology, University of California Davis School of Medicine, Davis, CA
| | - Malgorzata Bzymek
- Department of Physiology and Membrane Biology, University of California Davis School of Medicine, Davis, CA
| | - Leah M. MacNiven
- Department of Physiology and Membrane Biology, University of California Davis School of Medicine, Davis, CA
| | - Karl D. Murray
- Department of Physiology and Membrane Biology, University of California Davis School of Medicine, Davis, CA
- Department of Psychiatry and Behavioral Sciences, University of California Davis School of Medicine, Davis, CA
| | | | - Lutz Froenicke
- DNA Technology Core, Genome Center, University of California Davis, CA
| | - James S. Trimmer
- Department of Physiology and Membrane Biology, University of California Davis School of Medicine, Davis, CA
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47
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Shen Y, Voigt A, Leng X, Rodriguez AA, Nguyen CQ. A current and future perspective on T cell receptor repertoire profiling. Front Genet 2023; 14:1159109. [PMID: 37408774 PMCID: PMC10319011 DOI: 10.3389/fgene.2023.1159109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2023] [Accepted: 06/12/2023] [Indexed: 07/07/2023] Open
Abstract
T cell receptors (TCR) play a vital role in the immune system's ability to recognize and respond to foreign antigens, relying on the highly polymorphic rearrangement of TCR genes. The recognition of autologous peptides by adaptive immunity may lead to the development and progression of autoimmune diseases. Understanding the specific TCR involved in this process can provide insights into the autoimmune process. RNA-seq (RNA sequencing) is a valuable tool for studying TCR repertoires by providing a comprehensive and quantitative analysis of the RNA transcripts. With the development of RNA technology, transcriptomic data must provide valuable information to model and predict TCR and antigen interaction and, more importantly, identify or predict neoantigens. This review provides an overview of the application and development of bulk RNA-seq and single-cell (SC) RNA-seq to examine the TCR repertoires. Furthermore, discussed here are bioinformatic tools that can be applied to study the structural biology of peptide/TCR/MHC (major histocompatibility complex) and predict antigenic epitopes using advanced artificial intelligence tools.
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Affiliation(s)
- Yiran Shen
- Department of Infectious Diseases and Immunology, College of Veterinary Medicine, University of Florida, Gainesville, FL, United States
| | - Alexandria Voigt
- Department of Infectious Diseases and Immunology, College of Veterinary Medicine, University of Florida, Gainesville, FL, United States
| | - Xuebing Leng
- Department of Microbiology and Immunology, Miller School of Medicine, University of Miami, Miami, FL, United States
| | - Amy A. Rodriguez
- Department of Infectious Diseases and Immunology, College of Veterinary Medicine, University of Florida, Gainesville, FL, United States
| | - Cuong Q. Nguyen
- Department of Infectious Diseases and Immunology, College of Veterinary Medicine, University of Florida, Gainesville, FL, United States
- Department of Oral Biology, College of Dentistry, University of Florida, Gainesville, FL, United States
- Center of Orphaned Autoimmune Diseases, University of Florida, Gainesville, FL, United States
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48
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Hlaing ST, Srimanote P, Tongtawe P, Khantisitthiporn O, Glab-Ampai K, Chulanetra M, Thanongsaksrikul J. Isolation and Characterization of scFv Antibody against Internal Ribosomal Entry Site of Enterovirus A71. Int J Mol Sci 2023; 24:9865. [PMID: 37373012 DOI: 10.3390/ijms24129865] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Revised: 06/02/2023] [Accepted: 06/06/2023] [Indexed: 06/29/2023] Open
Abstract
Enterovirus A71 (EV-A71) is one of the causative agents of hand-foot-mouth disease, which can be associated with neurocomplications of the central nervous system. A limited understanding of the virus's biology and pathogenesis has led to the unavailability of effective anti-viral treatments. The EV-A71 RNA genome carries type I internal ribosomal entry site (IRES) at 5' UTR that plays an essential role in the viral genomic translation. However, the detailed mechanism of IRES-mediated translation has not been elucidated. In this study, sequence analysis revealed that the domains IV, V, and VI of EV-A71 IRES contained the structurally conserved regions. The selected region was transcribed in vitro and labeled with biotin to use as an antigen for selecting the single-chain variable fragment (scFv) antibody from the naïve phage display library. The so-obtained scFv, namely, scFv #16-3, binds specifically to EV-A71 IRES. The molecular docking showed that the interaction between scFv #16-3 and EV-A71 IRES was mediated by the preferences of amino acid residues, including serine, tyrosine, glycine, lysine, and arginine on the antigen-binding sites contacted the nucleotides on the IRES domains IV and V. The so-produced scFv has the potential to develop as a structural biology tool to study the biology of the EV-A71 RNA genome.
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Affiliation(s)
- Su Thandar Hlaing
- Graduate Program in Biomedical Sciences, Faculty of Allied Health Sciences, Thammasat University, Pathumtani 12120, Thailand
| | - Potjanee Srimanote
- Graduate Program in Biomedical Sciences, Faculty of Allied Health Sciences, Thammasat University, Pathumtani 12120, Thailand
- Thammasat University Research Unit in Molecular Pathogenesis and Immunology of Infectious Diseases, Thammasat University, Pathumthani 12120, Thailand
| | - Pongsri Tongtawe
- Graduate Program in Biomedical Sciences, Faculty of Allied Health Sciences, Thammasat University, Pathumtani 12120, Thailand
| | - Onruedee Khantisitthiporn
- Thammasat University Research Unit in Molecular Pathogenesis and Immunology of Infectious Diseases, Thammasat University, Pathumthani 12120, Thailand
- Department of Medical Technology, Faculty of Allied Health Sciences, Thammasat University, Pathumthani 12120, Thailand
| | - Kittirat Glab-Ampai
- Center of Research Excellence in Therapeutic Proteins and Antibody Engineering, Department of Parasitology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Monrat Chulanetra
- Center of Research Excellence in Therapeutic Proteins and Antibody Engineering, Department of Parasitology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Jeeraphong Thanongsaksrikul
- Graduate Program in Biomedical Sciences, Faculty of Allied Health Sciences, Thammasat University, Pathumtani 12120, Thailand
- Thammasat University Research Unit in Molecular Pathogenesis and Immunology of Infectious Diseases, Thammasat University, Pathumthani 12120, Thailand
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49
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Lees WD, Christley S, Peres A, Kos JT, Corrie B, Ralph D, Breden F, Cowell LG, Yaari G, Corcoran M, Karlsson Hedestam GB, Ohlin M, Collins AM, Watson CT, Busse CE. AIRR community curation and standardised representation for immunoglobulin and T cell receptor germline sets. IMMUNOINFORMATICS (AMSTERDAM, NETHERLANDS) 2023; 10:100025. [PMID: 37388275 PMCID: PMC10310305 DOI: 10.1016/j.immuno.2023.100025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 07/01/2023]
Abstract
Analysis of an individual's immunoglobulin or T cell receptor gene repertoire can provide important insights into immune function. High-quality analysis of adaptive immune receptor repertoire sequencing data depends upon accurate and relatively complete germline sets, but current sets are known to be incomplete. Established processes for the review and systematic naming of receptor germline genes and alleles require specific evidence and data types, but the discovery landscape is rapidly changing. To exploit the potential of emerging data, and to provide the field with improved state-of-the-art germline sets, an intermediate approach is needed that will allow the rapid publication of consolidated sets derived from these emerging sources. These sets must use a consistent naming scheme and allow refinement and consolidation into genes as new information emerges. Name changes should be minimised, but, where changes occur, the naming history of a sequence must be traceable. Here we outline the current issues and opportunities for the curation of germline IG/TR genes and present a forward-looking data model for building out more robust germline sets that can dovetail with current established processes. We describe interoperability standards for germline sets, and an approach to transparency based on principles of findability, accessibility, interoperability, and reusability.
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Affiliation(s)
- William D. Lees
- Institute of Structural and Molecular Biology, Birkbeck College, London, England
- Human-Centered Computing and Information Science, Institute for Systems and Computer Engineering Technology and Science, Porto, Portugal
| | - Scott Christley
- Peter O’Donnell Jr. School of Public Health, UT Southwestern Medical Center, Dallas, TX, USA
| | - Ayelet Peres
- Bioengineering Program, Faculty of Engineering, Bar-Ilan University, Ramat Gan, Israel
| | - Justin T. Kos
- Department of Biochemistry and Molecular Genetics, School of Medicine, University of Louisville, KY, USA
| | - Brian Corrie
- Department of Biological Sciences, Simon Fraser University, Burnaby, BC, Canada
| | - Duncan Ralph
- Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Felix Breden
- Department of Biological Sciences, Simon Fraser University, Burnaby, BC, Canada
| | - Lindsay G. Cowell
- Peter O’Donnell Jr. School of Public Health, Department of Immunology, School of Biomedical Sciences, UT Southwestern Medical Center, Dallas, TX, USA
| | - Gur Yaari
- Bioengineering Program, Faculty of Engineering, Bar-Ilan University, Ramat Gan, Israel
| | - Martin Corcoran
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Swede
| | | | - Mats Ohlin
- Department of Immunotechnology and SciLifeLab, Lund University, Lund, Sweden
| | - Andrew M. Collins
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Corey T. Watson
- Department of Biochemistry and Molecular Genetics, School of Medicine, University of Louisville, KY, USA
| | - Christian E. Busse
- Division of B Cell Immunology, German Cancer Research Center, Heidelberg, Germany
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Liu KJ, Zelazowska MA, McBride KM. The Longitudinal Analysis of Convergent Antibody VDJ Regions in SARS-CoV-2-Positive Patients Using RNA-Seq. Viruses 2023; 15:1253. [PMID: 37376553 DOI: 10.3390/v15061253] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2023] [Revised: 05/23/2023] [Accepted: 05/25/2023] [Indexed: 06/29/2023] Open
Abstract
Severe acute respiratory syndrome-related coronavirus-2 (SARS-CoV-2) is an ongoing pandemic that continues to evolve and reinfect individuals. To understand the convergent antibody responses that evolved over the course of the pandemic, we evaluated the immunoglobulin repertoire of individuals infected by different SARS-CoV-2 variants for similarity between patients. We utilized four public RNA-seq data sets collected between March 2020 and March 2022 from the Gene Expression Omnibus (GEO) in our longitudinal analysis. This covered individuals infected with Alpha and Omicron variants. In total, from 269 SARS-CoV-2-positive patients and 26 negative patients, 629,133 immunoglobulin heavy-chain variable region V(D)J sequences were reconstructed from sequencing data. We grouped samples based on the SARS-CoV-2 variant type and/or the time they were collected from patients. Our comparison of patients within each SARS-CoV-2-positive group found 1011 common V(D)Js (same V gene, J gene and CDR3 amino acid sequence) shared by more than one patient and no common V(D)Js in the noninfected group. Taking convergence into account, we clustered based on similar CDR3 sequence and identified 129 convergent clusters from the SARS-CoV-2-positive groups. Within the top 15 clusters, 4 contain known anti-SARS-CoV-2 immunoglobulin sequences with 1 cluster confirmed to cross-neutralize variants from Alpha to Omicron. In our analysis of longitudinal groups that include Alpha and Omicron variants, we find that 2.7% of the common CDR3s found within groups were also present in more than one group. Our analysis reveals common and convergent antibodies, which include anti-SARS-CoV-2 antibodies, in patient groups over various stages of the pandemic.
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Affiliation(s)
- Kate J Liu
- Department of Epigenetics and Molecular Carcinogenesis, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Monika A Zelazowska
- Department of Epigenetics and Molecular Carcinogenesis, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Kevin M McBride
- Department of Epigenetics and Molecular Carcinogenesis, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
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