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Yang X, Wu C, Liu W, Fu K, Tian Y, Wei X, Zhang W, Sun P, Luo H, Huang J. A clinical-information-free method for early diagnosis of lung cancer from the patients with pulmonary nodules based on backpropagation neural network model. Comput Struct Biotechnol J 2024; 24:404-411. [PMID: 38813092 PMCID: PMC11134880 DOI: 10.1016/j.csbj.2024.05.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Revised: 04/15/2024] [Accepted: 05/07/2024] [Indexed: 05/31/2024] Open
Abstract
Lung cancer is the main cause of cancer-related deaths worldwide. Due to lack of obvious clinical symptoms in the early stage of the lung cancer, it is hard to distinguish between malignancy and pulmonary nodules. Understanding the immune responses in the early stage of malignant lung cancer patients may provide new insights for diagnosis. Here, using high-through-put sequencing, we obtained the TCRβ repertoires in the peripheral blood of 100 patients with Stage I lung cancer and 99 patients with benign pulmonary nodules. Our analysis revealed that the usage frequencies of TRBV, TRBJ genes, and V-J pairs and TCR diversities indicated by D50s, Shannon indexes, Simpson indexes, and the frequencies of the largest TCR clone in the malignant samples were significantly different from those in the benign samples. Furthermore, reduced TCR diversities were correlated with the size of pulmonary nodules. Moreover, we built a backpropagation neural network model with no clinical information to identify lung cancer cases from patients with pulmonary nodules using 15 characteristic TCR clones. Based on the model, we have created a web server named "Lung Cancer Prediction" (LCP), which can be accessed at http://i.uestc.edu.cn/LCP/index.html.
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Affiliation(s)
- Xin Yang
- School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Changchun Wu
- School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Wenwen Liu
- School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Kaiyu Fu
- Department of Obstetrics and Gynecology, West China Second University Hospital of Sichuan University, Chengdu 610041, China
| | - Yuke Tian
- Department of medical oncology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu 610041, China
| | - Xing Wei
- Department of Thoracic Surgery, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu 610041, China
| | - Wei Zhang
- Department of medical oncology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu 610041, China
| | - Ping Sun
- Department of Health Management Center & Institute of Health Management, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu 611731, China
- Chinese Academy of Sciences Sichuan Translational Medicine Research Hospital, Chengdu 610072, China
| | - Huaichao Luo
- Department of Clinical Laboratory, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu 610041, China
| | - Jian Huang
- School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China
- School of Healthcare Technology, Chengdu Neusoft University, Chengdu, Sichuan 611844, China
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Song B, Wang K, Na S, Yao J, Fattah FJ, von Itzstein MS, Yang DM, Liu J, Xue Y, Liang C, Guo Y, Raman I, Zhu C, Dowell JE, Homsi J, Rashdan S, Yang S, Gwin ME, Hsiehchen D, Gloria-McCutchen Y, Raj P, Bai X, Wang J, Conejo-Garcia J, Xie Y, Gerber DE, Huang J, Wang T. Cmai: Predicting Antigen-Antibody Interactions from Massive Sequencing Data. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.27.601035. [PMID: 39005456 PMCID: PMC11244862 DOI: 10.1101/2024.06.27.601035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/16/2024]
Abstract
The interaction between antigens and antibodies (B cell receptors, BCRs) is the key step underlying the function of the humoral immune system in various biological contexts. The capability to profile the landscape of antigen-binding affinity of a vast number of BCRs will provide a powerful tool to reveal novel insights at unprecedented levels and will yield powerful tools for translational development. However, current experimental approaches for profiling antibody-antigen interactions are costly and time-consuming, and can only achieve low-to-mid throughput. On the other hand, bioinformatics tools in the field of antibody informatics mostly focus on optimization of antibodies given known binding antigens, which is a very different research question and of limited scope. In this work, we developed an innovative Artificial Intelligence tool, Cmai, to address the prediction of the binding between antibodies and antigens that can be scaled to high-throughput sequencing data. Cmai achieved an AUROC of 0.91 in our validation cohort. We devised a biomarker metric based on the output from Cmai applied to high-throughput BCR sequencing data. We found that, during immune-related adverse events (irAEs) caused by immune-checkpoint inhibitor (ICI) treatment, the humoral immunity is preferentially responsive to intracellular antigens from the organs affected by the irAEs. In contrast, extracellular antigens on malignant tumor cells are inducing B cell infiltrations, and the infiltrating B cells have a greater tendency to co-localize with tumor cells expressing these antigens. We further found that the abundance of tumor antigen-targeting antibodies is predictive of ICI treatment response. Overall, Cmai and our biomarker approach filled in a gap that is not addressed by current antibody optimization works nor works such as AlphaFold3 that predict the structures of complexes of proteins that are known to bind.
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3
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Damen LAA, Bui TP, van Wessel T, Li Y, Straten BF, Pampiermole R, Daamen WF, Fernig DG, van Kuppevelt TH. Identification of heparin-binding amino acid residues in antibody HS4C3 with the potential to design antibodies against heparan sulfate domains. Glycobiology 2024; 34:cwae046. [PMID: 38963938 PMCID: PMC11231949 DOI: 10.1093/glycob/cwae046] [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: 01/02/2024] [Revised: 06/06/2024] [Indexed: 07/06/2024] Open
Abstract
Heparan sulfate (HS) is a linear polysaccharide with high structural and functional diversity. Detection and localization of HS in tissues can be performed using single chain variable fragment (scFv) antibodies. Although several anti-HS antibodies recognizing different sulfation motifs have been identified, little is known about their interaction with HS. In this study the interaction between the scFv antibody HS4C3 and heparin was investigated. Heparin-binding lysine and arginine residues were identified using a protect and label methodology. Site-directed mutagenesis was applied to further identify critical heparin-binding lysine/arginine residues using immunohistochemical and biochemical assays. In addition, computational docking of a heparin tetrasaccharide towards a 3-D homology model of HS4C3 was applied to identify potential heparin-binding sites. Of the 12 lysine and 15 arginine residues within the HS4C3 antibody, 6 and 9, respectively, were identified as heparin-binding. Most of these residues are located within one of the complementarity determining regions (CDR) or in their proximity. All basic amino acid residues in the CDR3 region of the heavy chain were involved in binding. Computational docking showed a heparin tetrasaccharide close to these regions. Mutagenesis of heparin-binding residues reduced or altered reactivity towards HS and heparin. Identification of heparin-binding arginine and lysine residues in HS4C3 allows for better understanding of the interaction with HS and creates a framework to rationally design antibodies targeting specific HS motifs.
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Affiliation(s)
- Lars A A Damen
- Department of Medical BioSciences, Radboud Institute for Medical Innovation, Radboud University Medical Center, PO Box 9101, Nijmegen 6500 HB, the Netherlands
| | - Thao P Bui
- Department of Biochemistry, Cell and Systems Biology, Institute of Systems, Molecular and Integrated Biology, University of Liverpool, Crown Street, Liverpool L69 7ZB, United Kingdom
| | - Thierry van Wessel
- Department of Medical BioSciences, Radboud Institute for Medical Innovation, Radboud University Medical Center, PO Box 9101, Nijmegen 6500 HB, the Netherlands
| | - Yong Li
- Department of Biochemistry, Cell and Systems Biology, Institute of Systems, Molecular and Integrated Biology, University of Liverpool, Crown Street, Liverpool L69 7ZB, United Kingdom
| | - Bart F Straten
- Department of Medical BioSciences, Radboud Institute for Medical Innovation, Radboud University Medical Center, PO Box 9101, Nijmegen 6500 HB, the Netherlands
| | - Robin Pampiermole
- Department of Medical BioSciences, Radboud Institute for Medical Innovation, Radboud University Medical Center, PO Box 9101, Nijmegen 6500 HB, the Netherlands
| | - Willeke F Daamen
- Department of Medical BioSciences, Radboud Institute for Medical Innovation, Radboud University Medical Center, PO Box 9101, Nijmegen 6500 HB, the Netherlands
| | - David G Fernig
- Department of Biochemistry, Cell and Systems Biology, Institute of Systems, Molecular and Integrated Biology, University of Liverpool, Crown Street, Liverpool L69 7ZB, United Kingdom
| | - Toin H van Kuppevelt
- Department of Medical BioSciences, Radboud Institute for Medical Innovation, Radboud University Medical Center, PO Box 9101, Nijmegen 6500 HB, the Netherlands
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Arriaza RH, Kapingidza AB, Dolamore C, Khatri K, O’Malley A, Glesner J, Wuenschmann S, Hyduke NP, Easley W, Chhiv C, Pomés A, Chruszcz M. Structural, Biophysical, and Computational Studies of a Murine Light Chain Dimer. Molecules 2024; 29:2885. [PMID: 38930950 PMCID: PMC11206851 DOI: 10.3390/molecules29122885] [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: 05/03/2024] [Revised: 06/05/2024] [Accepted: 06/10/2024] [Indexed: 06/28/2024] Open
Abstract
Antibodies are widely used in medicinal and scientific research due to their ability to bind to a specific antigen. Most often, antibodies are composed of heavy and light chain domains. Under physiological conditions, light chains are produced in excess, as compared to the heavy chain. It is now known that light chains are not silent partners of the heavy chain and can modulate the immune response independently. In this work, the first crystal structure of a light chain dimer originating from mice is described. It represents the light chain dimer of 6A8, a monoclonal antibody specific to the allergen Der f 1. Building on the unexpected occurrence of this kind of dimer, we have demonstrated that this light chain is stable in solution alone. Moreover, enzyme-linked immunosorbent assays (ELISA) have revealed that, when the light chain is not partnered to its corresponding heavy chain, it interacts non-specifically with a wide range of proteins. Computational studies were used to provide insight on the role of the 6A8 heavy chain domain in the specific binding to Der f 1. Overall, this work demonstrates and supports the ongoing notion that light chains can function by themselves and are not silent partners of heavy chains.
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Affiliation(s)
- Ricardo H. Arriaza
- Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, MI 48864, USA; (R.H.A.); (K.K.); (A.O.)
- Department of Chemistry and Biochemistry, University of South Carolina, Columbia, SC 29208, USA; (A.B.K.); (C.D.); (N.P.H.); (W.E.); (C.C.)
| | - A. Brenda Kapingidza
- Department of Chemistry and Biochemistry, University of South Carolina, Columbia, SC 29208, USA; (A.B.K.); (C.D.); (N.P.H.); (W.E.); (C.C.)
| | - Coleman Dolamore
- Department of Chemistry and Biochemistry, University of South Carolina, Columbia, SC 29208, USA; (A.B.K.); (C.D.); (N.P.H.); (W.E.); (C.C.)
| | - Kriti Khatri
- Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, MI 48864, USA; (R.H.A.); (K.K.); (A.O.)
- Department of Chemistry and Biochemistry, University of South Carolina, Columbia, SC 29208, USA; (A.B.K.); (C.D.); (N.P.H.); (W.E.); (C.C.)
| | - Andrea O’Malley
- Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, MI 48864, USA; (R.H.A.); (K.K.); (A.O.)
- Department of Chemistry and Biochemistry, University of South Carolina, Columbia, SC 29208, USA; (A.B.K.); (C.D.); (N.P.H.); (W.E.); (C.C.)
| | - Jill Glesner
- InBio, Charlottesville, VA 22903, USA; (J.G.); (S.W.); (A.P.)
| | | | - Noah P. Hyduke
- Department of Chemistry and Biochemistry, University of South Carolina, Columbia, SC 29208, USA; (A.B.K.); (C.D.); (N.P.H.); (W.E.); (C.C.)
| | - William Easley
- Department of Chemistry and Biochemistry, University of South Carolina, Columbia, SC 29208, USA; (A.B.K.); (C.D.); (N.P.H.); (W.E.); (C.C.)
| | - Charline Chhiv
- Department of Chemistry and Biochemistry, University of South Carolina, Columbia, SC 29208, USA; (A.B.K.); (C.D.); (N.P.H.); (W.E.); (C.C.)
| | - Anna Pomés
- InBio, Charlottesville, VA 22903, USA; (J.G.); (S.W.); (A.P.)
| | - Maksymilian Chruszcz
- Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, MI 48864, USA; (R.H.A.); (K.K.); (A.O.)
- Department of Chemistry and Biochemistry, University of South Carolina, Columbia, SC 29208, USA; (A.B.K.); (C.D.); (N.P.H.); (W.E.); (C.C.)
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5
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Kalantar M, Kalanther I, Kumar S, Buxton EK, Raeeszadeh-Sarmazdeh M. Elucidating key determinants of engineered scFv antibody in MMP-9 binding using high throughput screening and machine learning. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.04.597476. [PMID: 38895413 PMCID: PMC11185642 DOI: 10.1101/2024.06.04.597476] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/21/2024]
Abstract
An imbalance in matrix metalloproteinase-9 (MMP-9) regulation can lead to numerous diseases, including neurological disorders, cancer, and pre-term labor. Engineering single-chain antibody fragments (scFvs) Targeting MMP-9 to develop novel therapeutics for such diseases is desirable. We screened a synthetic scFv antibody library displayed on the yeast surface for binding improvement to MMP-9 using FACS (fluorescent-activated cell sorting). The scFv antibody clones isolated after FACS showed improvement in binding to MMP-9 compared to the endogenous inhibitor. To understand molecular determinants of binding between engineered scFv antibody variants and MMP-9, next-generation DNA sequencing, and computational protein structure analysis were used. Additionally, a deep-learning language model was trained on the synthetic library to predict the binding of scFv variants using their CDR-H3 sequences.
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6
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Dumonteil E, Tu W, Desale H, Goff K, Marx P, Ortega-Lopez J, Herrera C. Immunoglobulin and T cell receptor repertoire changes induced by a prototype vaccine against Chagas disease in naïve rhesus macaques. J Biomed Sci 2024; 31:58. [PMID: 38824576 PMCID: PMC11143712 DOI: 10.1186/s12929-024-01050-5] [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: 12/16/2023] [Accepted: 05/27/2024] [Indexed: 06/03/2024] Open
Abstract
BACKGROUND A vaccine against Trypanosoma cruzi, the agent of Chagas disease, would be an excellent additional tool for disease control. A recombinant vaccine based on Tc24 and TSA1 parasite antigens was found to be safe and immunogenic in naïve macaques. METHODS We used RNA-sequencing and performed a transcriptomic analysis of PBMC responses to vaccination of naïve macaques after each vaccine dose, to shed light on the immunogenicity of this vaccine and guide the optimization of doses and formulation. We identified differentially expressed genes and pathways and characterized immunoglobulin and T cell receptor repertoires. RESULTS RNA-sequencing analysis indicated a clear transcriptomic response of PBMCs after three vaccine doses, with the up-regulation of several immune cell activation pathways and a broad non-polarized immune profile. Analysis of the IgG repertoire showed that it had a rapid turnover with novel IgGs produced following each vaccine dose, while the TCR repertoire presented several persisting clones that were expanded after each vaccine dose. CONCLUSIONS These data suggest that three vaccine doses may be needed for optimum immunogenicity and support the further evaluation of the protective efficacy of this vaccine.
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Affiliation(s)
- Eric Dumonteil
- Department of Tropical Medicine and Infectious Disease, School of Public Health and Tropical Medicine, and Vector-Borne and Infectious Disease Research Center, Tulane University, 1440 Canal St, New Orleans, Louisiana, 70112, USA.
| | - Weihong Tu
- Department of Tropical Medicine and Infectious Disease, School of Public Health and Tropical Medicine, and Vector-Borne and Infectious Disease Research Center, Tulane University, 1440 Canal St, New Orleans, Louisiana, 70112, USA
| | - Hans Desale
- Department of Tropical Medicine and Infectious Disease, School of Public Health and Tropical Medicine, and Vector-Borne and Infectious Disease Research Center, Tulane University, 1440 Canal St, New Orleans, Louisiana, 70112, USA
| | - Kelly Goff
- Division of Microbiology, Tulane National Primate Research Center, Tulane University, Covington, LA, USA
| | - Preston Marx
- Department of Tropical Medicine and Infectious Disease, School of Public Health and Tropical Medicine, and Vector-Borne and Infectious Disease Research Center, Tulane University, 1440 Canal St, New Orleans, Louisiana, 70112, USA
- Division of Microbiology, Tulane National Primate Research Center, Tulane University, Covington, LA, USA
| | - Jaime Ortega-Lopez
- Departamento de Biotecnología y Bioingeniería, Centro de Investigación y Estudios Avanzados del Instituto Politécnico Nacional, Ciudad de Mexico, México
| | - Claudia Herrera
- Department of Tropical Medicine and Infectious Disease, School of Public Health and Tropical Medicine, and Vector-Borne and Infectious Disease Research Center, Tulane University, 1440 Canal St, New Orleans, Louisiana, 70112, USA
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7
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Jensen CG, Sumner JA, Kleinstein SH, Hoehn KB. Inferring B Cell Phylogenies from Paired H and L Chain BCR Sequences with Dowser. JOURNAL OF IMMUNOLOGY (BALTIMORE, MD. : 1950) 2024; 212:1579-1588. [PMID: 38557795 PMCID: PMC11073909 DOI: 10.4049/jimmunol.2300851] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Accepted: 03/07/2024] [Indexed: 04/04/2024]
Abstract
Abs are vital to human immune responses and are composed of genetically variable H and L chains. These structures are initially expressed as BCRs. BCR diversity is shaped through somatic hypermutation and selection during immune responses. This evolutionary process produces B cell clones, cells that descend from a common ancestor but differ by mutations. Phylogenetic trees inferred from BCR sequences can reconstruct the history of mutations within a clone. Until recently, BCR sequencing technologies separated H and L chains, but advancements in single-cell sequencing now pair H and L chains from individual cells. However, it is unclear how these separate genes should be combined to infer B cell phylogenies. In this study, we investigated strategies for using paired H and L chain sequences to build phylogenetic trees. We found that incorporating L chains significantly improved tree accuracy and reproducibility across all methods tested. This improvement was greater than the difference between tree-building methods and persisted even when mixing bulk and single-cell sequencing data. However, we also found that many phylogenetic methods estimated significantly biased branch lengths when some L chains were missing, such as when mixing single-cell and bulk BCR data. This bias was eliminated using maximum likelihood methods with separate branch lengths for H and L chain gene partitions. Thus, we recommend using maximum likelihood methods with separate H and L chain partitions, especially when mixing data types. We implemented these methods in the R package Dowser: https://dowser.readthedocs.io.
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Affiliation(s)
- Cole G. Jensen
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06511, USA
| | - Jacob A. Sumner
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06511, USA
- Integrated Graduate Program in Physical and Engineering Biology, Yale University, New Haven, Connecticut, 06520, USA
| | - Steven H. Kleinstein
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06511, USA
- Department of Pathology, Yale School of Medicine, New Haven, CT 06520, USA
- Department of Immunobiology, Yale School of Medicine, New Haven, CT 06520, USA
| | - Kenneth B. Hoehn
- Department of Pathology, Yale School of Medicine, New Haven, CT 06520, USA
- Current address: Department of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, NH 03755, USA
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8
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Ribeiro R, Moreira JN, Goncalves J. Development of a new affinity maturation protocol for the construction of an internalizing anti-nucleolin antibody library. Sci Rep 2024; 14:10608. [PMID: 38719911 PMCID: PMC11079059 DOI: 10.1038/s41598-024-61230-z] [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: 10/13/2023] [Accepted: 05/02/2024] [Indexed: 05/12/2024] Open
Abstract
Over the last decades, monoclonal antibodies have substantially improved the treatment of several conditions. The continuous search for novel therapeutic targets and improvements in antibody's structure, demands for a constant optimization of their development. In this regard, modulation of an antibody's affinity to its target has been largely explored and culminated in the discovery and optimization of a variety of molecules. It involves the creation of antibody libraries and selection against the target of interest. In this work, we aimed at developing a novel protocol to be used for the affinity maturation of an antibody previously developed by our group. An antibody library was constructed using an in vivo random mutagenesis approach that, to our knowledge, has not been used before for antibody development. Then, a cell-based phage display selection protocol was designed to allow the fast and simple screening of antibody clones capable of being internalized by target cells. Next generation sequencing coupled with computer analysis provided an extensive characterization of the created library and post-selection pool, that can be used as a guide for future antibody development. With a single selection step, an enrichment in the mutated antibody library, given by a decrease in almost 50% in sequence diversity, was achieved, and structural information useful in the study of the antibody-target interaction in the future was obtained.
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Affiliation(s)
- Rita Ribeiro
- CNC-Center for Neurosciences and Cell Biology, Center for Innovative Biomedicine and Biotechnology (CIBB), Faculty of Medicine (Polo 1), University of Coimbra, Coimbra, Portugal
- Faculty of Pharmacy, iMed.ULisboa - Research Institute for Medicines, University of Lisbon, Lisbon, Portugal
- Univ Coimbra-University of Coimbra, CIBB, Faculty of Pharmacy, Coimbra, Portugal
| | - João N Moreira
- CNC-Center for Neurosciences and Cell Biology, Center for Innovative Biomedicine and Biotechnology (CIBB), Faculty of Medicine (Polo 1), University of Coimbra, Coimbra, Portugal.
- Univ Coimbra-University of Coimbra, CIBB, Faculty of Pharmacy, Coimbra, Portugal.
| | - João Goncalves
- Faculty of Pharmacy, iMed.ULisboa - Research Institute for Medicines, University of Lisbon, Lisbon, Portugal.
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Zhang R, Huang L, Zhang X, Yu Y, Liang T, Wang H, Zhang X, Hu D, Wang B, Wang Y, Jiang J, Yu X. Proteomics Platform Reveals Broad-Spectrum Nanobodies for SARS-CoV-2 Variant Neutralization. J Proteome Res 2024; 23:1559-1570. [PMID: 38603467 DOI: 10.1021/acs.jproteome.3c00569] [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: 04/13/2024]
Abstract
The ongoing evolution of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has led to the emergence of different variants of concerns with immune evasion that have been prevalent over the past three years. Nanobodies, the functional variable regions of camelid heavy-chain-only antibodies, have garnered interest in developing neutralizing antibodies due to their smaller size, structural stability, ease of production, high affinity, and low immunogenicity, among other characteristics. In this work, we describe an integrated proteomics platform for the high-throughput screening of nanobodies against different SARS-CoV-2 spike variants. To demonstrate this platform, we immunized a camel with subunit 1 (S1) of the wild-type spike protein and constructed a nanobody phage library. The binding and neutralizing activities of the nanobodies against 72 spike variants were then measured, resulting in the identification of two nanobodies (C-282 and C-39) with broad neutralizing activity against six non-Omicron variants (D614G, Alpha, Beta, Gamma, Delta, Kappa) and five Omicron variants (BA.1-5). Their neutralizing capability was validated using in vitro pseudovirus-based neutralization assays. All these results demonstrate the utility of our proteomics platform to identify new nanobodies with broad neutralizing capability and to develop a treatment for patients with SARS-CoV-2 variant infection in the future.
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Affiliation(s)
- Ran Zhang
- School of Basic Medicine Sciences, Anhui Medical University, Hefei, Anhui 230031, PR China
- State Key Laboratory of Medical Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing 102206, China
| | - Lan Huang
- Changping Laboratory, Beijing 102206, China
| | - Xiaohan Zhang
- School of Medicine, Nanjing University of Chinese Medicine, Nanjing 210023, China
| | | | - Te Liang
- State Key Laboratory of Medical Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing 102206, China
| | - Hongye Wang
- State Key Laboratory of Medical Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing 102206, China
| | - Xiaomei Zhang
- State Key Laboratory of Medical Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing 102206, China
| | - Di Hu
- ProteomicsEra Medical Co., Ltd., Beijing 102206, China
| | - Bingwei Wang
- School of Medicine, Nanjing University of Chinese Medicine, Nanjing 210023, China
| | | | - Junyi Jiang
- Translational Medicine Technology Platform, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing 102206, China
| | - Xiaobo Yu
- School of Basic Medicine Sciences, Anhui Medical University, Hefei, Anhui 230031, PR China
- State Key Laboratory of Medical Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing 102206, China
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10
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Sencanski M, Glisic S, Kubale V, Cotman M, Mavri J, Vrecl M. Computational Modeling and Characterization of Peptides Derived from Nanobody Complementary-Determining Region 2 (CDR2) Targeting Active-State Conformation of the β 2-Adrenergic Receptor (β 2AR). Biomolecules 2024; 14:423. [PMID: 38672440 PMCID: PMC11048008 DOI: 10.3390/biom14040423] [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: 02/27/2024] [Revised: 03/20/2024] [Accepted: 03/28/2024] [Indexed: 04/28/2024] Open
Abstract
This study assessed the suitability of the complementarity-determining region 2 (CDR2) of the nanobody (Nb) as a template for the derivation of nanobody-derived peptides (NDPs) targeting active-state β2-adrenergic receptor (β2AR) conformation. Sequences of conformationally selective Nbs favoring the agonist-occupied β2AR were initially analyzed by the informational spectrum method (ISM). The derived NDPs in complex with β2AR were subjected to protein-peptide docking, molecular dynamics (MD) simulations, and metadynamics-based free-energy binding calculations. Computational analyses identified a 25-amino-acid-long CDR2-NDP of Nb71, designated P4, which exhibited the following binding free-energy for the formation of the β2AR:P4 complex (ΔG = -6.8 ± 0.8 kcal/mol or a Ki = 16.5 μM at 310 K) and mapped the β2AR:P4 amino acid interaction network. In vitro characterization showed that P4 (i) can cross the plasma membrane, (ii) reduces the maximum isoproterenol-induced cAMP level by approximately 40% and the isoproterenol potency by up to 20-fold at micromolar concentration, (iii) has a very low affinity to interact with unstimulated β2AR in the cAMP assay, and (iv) cannot reduce the efficacy and potency of the isoproterenol-mediated β2AR/β-arrestin-2 interaction in the BRET2-based recruitment assay. In summary, the CDR2-NDP, P4, binds preferentially to agonist-activated β2AR and disrupts Gαs-mediated signaling.
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Affiliation(s)
- Milan Sencanski
- Laboratory for Plant Molecular Biology, Institute of Molecular Genetics and Genetic Engineering, University of Belgrade, 11000 Belgrade, Serbia
- Laboratory for Bioinformatics and Computational Chemistry, Institute of Nuclear Sciences VINCA, National Institute of Serbia, University of Belgrade, 11000 Belgrade, Serbia;
| | - Sanja Glisic
- Laboratory for Bioinformatics and Computational Chemistry, Institute of Nuclear Sciences VINCA, National Institute of Serbia, University of Belgrade, 11000 Belgrade, Serbia;
| | - Valentina Kubale
- Institute of Preclinical Sciences, Veterinary Faculty, University of Ljubljana, 1000 Ljubljana, Slovenia; (V.K.); (M.C.)
| | - Marko Cotman
- Institute of Preclinical Sciences, Veterinary Faculty, University of Ljubljana, 1000 Ljubljana, Slovenia; (V.K.); (M.C.)
| | - Janez Mavri
- Department of Computational Biochemistry and Drug Design, National Institute of Chemistry, 1000 Ljubljana, Slovenia;
| | - Milka Vrecl
- Institute of Preclinical Sciences, Veterinary Faculty, University of Ljubljana, 1000 Ljubljana, Slovenia; (V.K.); (M.C.)
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11
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Dennis E, Murach M, Blackburn CM, Marshall M, Root K, Pattarabanjird T, Deroissart J, Erickson LD, Binder CJ, Bekiranov S, McNamara CA. Loss of TET2 increases B-1 cell number and IgM production while limiting CDR3 diversity. Front Immunol 2024; 15:1380641. [PMID: 38601144 PMCID: PMC11004297 DOI: 10.3389/fimmu.2024.1380641] [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: 02/01/2024] [Accepted: 03/14/2024] [Indexed: 04/12/2024] Open
Abstract
Recent studies have demonstrated a role for Ten-Eleven Translocation-2 (TET2), an epigenetic modulator, in regulating germinal center formation and plasma cell differentiation in B-2 cells, yet the role of TET2 in regulating B-1 cells is largely unknown. Here, B-1 cell subset numbers, IgM production, and gene expression were analyzed in mice with global knockout of TET2 compared to wildtype (WT) controls. Results revealed that TET2-KO mice had elevated numbers of B-1a and B-1b cells in their primary niche, the peritoneal cavity, as well as in the bone marrow (B-1a) and spleen (B-1b). Consistent with this finding, circulating IgM, but not IgG, was elevated in TET2-KO mice compared to WT. Analysis of bulk RNASeq of sort purified peritoneal B-1a and B-1b cells revealed reduced expression of heavy and light chain immunoglobulin genes, predominantly in B-1a cells from TET2-KO mice compared to WT controls. As expected, the expression of IgM transcripts was the most abundant isotype in B-1 cells. Yet, only in B-1a cells there was a significant increase in the proportion of IgM transcripts in TET2-KO mice compared to WT. Analysis of the CDR3 of the BCR revealed an increased abundance of replicated CDR3 sequences in B-1 cells from TET2-KO mice, which was more clearly pronounced in B-1a compared to B-1b cells. V-D-J usage and circos plot analysis of V-J combinations showed enhanced usage of VH11 and VH12 pairings. Taken together, our study is the first to demonstrate that global loss of TET2 increases B-1 cell number and IgM production and reduces CDR3 diversity, which could impact many biological processes and disease states that are regulated by IgM.
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Affiliation(s)
- Emily Dennis
- Beirne B. Carter Center for Immunology Research, University of Virginia, Charlottesville, VA, United States
- Department of Microbiology, Immunology, and Cancer Biology, University of Virginia, Charlottesville, VA, United States
| | - Maria Murach
- Beirne B. Carter Center for Immunology Research, University of Virginia, Charlottesville, VA, United States
- Department of Biochemistry and Molecular Genetics, University of Virginia, Charlottesville, VA, United States
| | - Cassidy M.R. Blackburn
- Beirne B. Carter Center for Immunology Research, University of Virginia, Charlottesville, VA, United States
| | - Melissa Marshall
- Beirne B. Carter Center for Immunology Research, University of Virginia, Charlottesville, VA, United States
| | - Katherine Root
- Beirne B. Carter Center for Immunology Research, University of Virginia, Charlottesville, VA, United States
| | - Tanyaporn Pattarabanjird
- Beirne B. Carter Center for Immunology Research, University of Virginia, Charlottesville, VA, United States
| | - Justine Deroissart
- Department for Laboratory Medicine, Medical University of Vienna, Vienna, Austria
| | - Loren D. Erickson
- Beirne B. Carter Center for Immunology Research, University of Virginia, Charlottesville, VA, United States
- Department of Microbiology, Immunology, and Cancer Biology, University of Virginia, Charlottesville, VA, United States
| | - Christoph J. Binder
- Department for Laboratory Medicine, Medical University of Vienna, Vienna, Austria
| | - Stefan Bekiranov
- Beirne B. Carter Center for Immunology Research, University of Virginia, Charlottesville, VA, United States
- Department of Biochemistry and Molecular Genetics, University of Virginia, Charlottesville, VA, United States
| | - Coleen A. McNamara
- Beirne B. Carter Center for Immunology Research, University of Virginia, Charlottesville, VA, United States
- Division of Cardiovascular Medicine, Department of Medicine, University of Virginia, Charlottesville, VA, United States
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12
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Shingai M, Iida S, Kawai N, Kawahara M, Sekiya T, Ohno M, Nomura N, Handabile C, Kawakita T, Omori R, Yamagishi J, Sano K, Ainai A, Suzuki T, Ohnishi K, Ito K, Kida H. Extraction of the CDRH3 sequence of the mouse antibody repertoire selected upon influenza virus infection by subtraction of the background antibody repertoire. J Virol 2024; 98:e0199523. [PMID: 38323813 PMCID: PMC10949447 DOI: 10.1128/jvi.01995-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Accepted: 01/14/2024] [Indexed: 02/08/2024] Open
Abstract
Historically, antibody reactivity to pathogens and vaccine antigens has been evaluated using serological measurements of antigen-specific antibodies. However, it is difficult to evaluate all antibodies that contribute to various functions in a single assay, such as the measurement of the neutralizing antibody titer. Bulk antibody repertoire analysis using next-generation sequencing is a comprehensive method for analyzing the overall antibody response; however, it is unreliable for estimating antigen-specific antibodies due to individual variation. To address this issue, we propose a method to subtract the background signal from the repertoire of data of interest. In this study, we analyzed changes in antibody diversity and inferred the heavy-chain complementarity-determining region 3 (CDRH3) sequences of antibody clones that were selected upon influenza virus infection in a mouse model using bulk repertoire analysis. A decrease in the diversity of the antibody repertoire was observed upon viral infection, along with an increase in neutralizing antibody titers. Using kernel density estimation of sequences in a high-dimensional sequence space with background signal subtraction, we identified several clusters of CDRH3 sequences induced upon influenza virus infection. Most of these repertoires were detected more frequently in infected mice than in uninfected control mice, suggesting that infection-specific antibody sequences can be extracted using this method. Such an accurate extraction of antigen- or infection-specific repertoire information will be a useful tool for vaccine evaluation in the future. IMPORTANCE As specific interactions between antigens and cell-surface antibodies trigger the proliferation of B-cell clones, the frequency of each antibody sequence in the samples reflects the size of each clonal population. Nevertheless, it is extremely difficult to extract antigen-specific antibody sequences from the comprehensive bulk antibody sequences obtained from blood samples due to repertoire bias influenced by exposure to dietary antigens and other infectious agents. This issue can be addressed by subtracting the background noise from the post-immunization or post-infection repertoire data. In the present study, we propose a method to quantify repertoire data from comprehensive repertoire data. This method allowed subtraction of the background repertoire, resulting in more accurate extraction of expanded antibody repertoires upon influenza virus infection. This accurate extraction of antigen- or infection-specific repertoire information is a useful tool for vaccine evaluation.
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Affiliation(s)
- Masashi Shingai
- Division of Biologics Development, International Institute for Zoonosis Control, Hokkaido University, Sapporo, Japan
- Institute for Vaccine Research and Development (HU-IVReD), Hokkaido University, Sapporo, Japan
- Division of Vaccine Immunology, International Institute for Zoonosis Control, Hokkaido University, Sapporo, Japan
- International Collaboration Unit, International Institute for Zoonosis Control, Hokkaido University, Sapporo, Japan
| | - Sayaka Iida
- Division of Bioinformatics, International Institute for Zoonosis Control, Hokkaido University, Sapporo, Japan
| | - Naoko Kawai
- Division of Collaboration and Education, International Institute for Zoonosis Control, Hokkaido University, Sapporo, Japan
| | - Mamiko Kawahara
- Division of Biologics Development, International Institute for Zoonosis Control, Hokkaido University, Sapporo, Japan
| | - Toshiki Sekiya
- Division of Biologics Development, International Institute for Zoonosis Control, Hokkaido University, Sapporo, Japan
- Institute for Vaccine Research and Development (HU-IVReD), Hokkaido University, Sapporo, Japan
- International Collaboration Unit, International Institute for Zoonosis Control, Hokkaido University, Sapporo, Japan
| | - Marumi Ohno
- Division of Biologics Development, International Institute for Zoonosis Control, Hokkaido University, Sapporo, Japan
- Institute for Vaccine Research and Development (HU-IVReD), Hokkaido University, Sapporo, Japan
- One Health Research Center, Hokkaido University, Sapporo, Japan
| | - Naoki Nomura
- Division of Biologics Development, International Institute for Zoonosis Control, Hokkaido University, Sapporo, Japan
- Institute for Vaccine Research and Development (HU-IVReD), Hokkaido University, Sapporo, Japan
| | - Chimuka Handabile
- Division of Biologics Development, International Institute for Zoonosis Control, Hokkaido University, Sapporo, Japan
- Institute for Vaccine Research and Development (HU-IVReD), Hokkaido University, Sapporo, Japan
| | - Tomomi Kawakita
- Institute for Vaccine Research and Development (HU-IVReD), Hokkaido University, Sapporo, Japan
- Division of Vaccine Immunology, International Institute for Zoonosis Control, Hokkaido University, Sapporo, Japan
| | - Ryosuke Omori
- Division of Bioinformatics, International Institute for Zoonosis Control, Hokkaido University, Sapporo, Japan
| | - Junya Yamagishi
- International Collaboration Unit, International Institute for Zoonosis Control, Hokkaido University, Sapporo, Japan
- Division of Collaboration and Education, International Institute for Zoonosis Control, Hokkaido University, Sapporo, Japan
| | - Kaori Sano
- Department of Pathology, National Institute of Infectious Diseases, Tokyo, Japan
| | - Akira Ainai
- Department of Pathology, National Institute of Infectious Diseases, Tokyo, Japan
| | - Tadaki Suzuki
- Department of Pathology, National Institute of Infectious Diseases, Tokyo, Japan
| | - Kazuo Ohnishi
- Department of Immunology, National Institute of Infectious Diseases, Tokyo, Japan
| | - Kimihito Ito
- International Collaboration Unit, International Institute for Zoonosis Control, Hokkaido University, Sapporo, Japan
- Division of Bioinformatics, International Institute for Zoonosis Control, Hokkaido University, Sapporo, Japan
| | - Hiroshi Kida
- Division of Biologics Development, International Institute for Zoonosis Control, Hokkaido University, Sapporo, Japan
- Institute for Vaccine Research and Development (HU-IVReD), Hokkaido University, Sapporo, Japan
- International Collaboration Unit, International Institute for Zoonosis Control, Hokkaido University, Sapporo, Japan
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13
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Jeon W, Kim D. AbFlex: designing antibody complementarity determining regions with flexible CDR definition. Bioinformatics 2024; 40:btae122. [PMID: 38449295 DOI: 10.1093/bioinformatics/btae122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Revised: 02/04/2024] [Accepted: 03/05/2024] [Indexed: 03/08/2024] Open
Abstract
MOTIVATION Antibodies are proteins that the immune system produces in response to foreign pathogens. Designing antibodies that specifically bind to antigens is a key step in developing antibody therapeutics. The complementarity determining regions (CDRs) of the antibody are mainly responsible for binding to the target antigen, and therefore must be designed to recognize the antigen. RESULTS We develop an antibody design model, AbFlex, that exhibits state-of-the-art performance in terms of structure prediction accuracy and amino acid recovery rate. Furthermore, >38% of newly designed antibody models are estimated to have better binding energies for their antigens than wild types. The effectiveness of the model is attributed to two different strategies that are developed to overcome the difficulty associated with the scarcity of antibody-antigen complex structure data. One strategy is to use an equivariant graph neural network model that is more data-efficient. More importantly, a new data augmentation strategy based on the flexible definition of CDRs significantly increases the performance of the CDR prediction model. AVAILABILITY AND IMPLEMENTATION The source code and implementation are available at https://github.com/wsjeon92/AbFlex.
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Affiliation(s)
- Woosung Jeon
- Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology, 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea
| | - Dongsup Kim
- Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology, 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea
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14
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Pomés A, Smith SA, Chruszcz M, Mueller GA, Brackett NF, Chapman MD. Precision engineering for localization, validation, and modification of allergenic epitopes. J Allergy Clin Immunol 2024; 153:560-571. [PMID: 38181840 PMCID: PMC10939758 DOI: 10.1016/j.jaci.2023.12.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Revised: 12/20/2023] [Accepted: 12/29/2023] [Indexed: 01/07/2024]
Abstract
The allergen-IgE interaction is essential for the genesis of allergic responses, yet investigation of the molecular basis of these interactions is in its infancy. Precision engineering has unveiled the molecular features of allergen-antibody interactions at the atomic level. High-resolution technologies, including x-ray crystallography, nuclear magnetic resonance spectroscopy, and cryo-electron microscopy, determine allergen-antibody structures. X-ray crystallography of an allergen-antibody complex localizes in detail amino acid residues and interactions that define the epitope-paratope interface. Multiple structures involving murine IgG mAbs have recently been resolved. The number of amino acids forming the epitope broadly correlates with the epitope area. The production of human IgE mAbs from B cells of allergic subjects is an exciting recent development that has for the first time enabled an actual IgE epitope to be defined. The biologic activity of defined IgE epitopes can be validated in vivo in animal models or by measuring mediator release from engineered basophilic cell lines. Finally, gene-editing approaches using the Clustered Regularly Interspaced Short Palindromic Repeats technology to either remove allergen genes or make targeted epitope engineering at the source are on the horizon. This review presents an overview of the identification and validation of allergenic epitopes by precision engineering.
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Affiliation(s)
| | - Scott A Smith
- Vanderbilt University Medical Center, Nashville, Tenn
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15
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Xiao J, Luo Y, Li Y, Yao X. The characteristics of BCR-CDR3 repertoire in COVID-19 patients and SARS-CoV-2 vaccinated volunteers. J Med Virol 2024; 96:e29488. [PMID: 38415507 DOI: 10.1002/jmv.29488] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2023] [Revised: 02/02/2024] [Accepted: 02/13/2024] [Indexed: 02/29/2024]
Abstract
The global COVID-19 pandemic has caused more than 1 billion infections, and numerous SARS-CoV-2 vaccines developed rapidly have been administered over 10 billion doses. The world is continuously concerned about the cytokine storms induced by the interaction between SARS-CoV-2 and host, long COVID, breakthrough infections postvaccination, and the impact of SARS-CoV-2 variants. BCR-CDR3 repertoire serves as a molecular target for monitoring the antiviral response "trace" of B cells, evaluating the effects, mechanisms, and memory abilities of individual responses to B cells, and has been successfully applied in analyzing the infection mechanisms, vaccine improvement, and neutralizing antibodies preparation of influenza virus, HIV, MERS, and Ebola virus. Based on research on BCR-CDR3 repertoire of COVID-19 patients and volunteers who received different SARS-CoV-2 vaccines in multiple laboratories worldwide, we focus on analyzing the characteristics and changes of BCR-CDR3 repertoire, such as diversity, clonality, V&J genes usage and pairing, SHM, CSR, shared CDR3 clones, as well as the summary on BCR sequences targeting virus-specific epitopes in the preparation and application research of SARS-CoV-2 potential therapeutic monoclonal antibodies. This review provides comparative data and new research schemes for studying the possible mechanisms of differences in B cell response between SARS-CoV-2 infection or vaccination, and supplies a foundation for improving vaccines after SARS-CoV-2 mutations and potential antibody therapy for infected individuals.
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Affiliation(s)
- Jiaping Xiao
- Department of Immunology, Center of Immunomolecular Engineering, Innovation & Practice Base for Graduate Students Education, Zunyi Medical University, Zunyi, Guizhou, China
- Fushun People's Hospital, Zigong, Sichuan, China
| | - Yan Luo
- Department of Immunology, Center of Immunomolecular Engineering, Innovation & Practice Base for Graduate Students Education, Zunyi Medical University, Zunyi, Guizhou, China
| | - Yangyang Li
- Department of Immunology, Center of Immunomolecular Engineering, Innovation & Practice Base for Graduate Students Education, Zunyi Medical University, Zunyi, Guizhou, China
| | - Xinsheng Yao
- Department of Immunology, Center of Immunomolecular Engineering, Innovation & Practice Base for Graduate Students Education, Zunyi Medical University, Zunyi, Guizhou, China
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16
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Lee CH, Wu CJ, Yang YY, Wang WC, Leu SJ, Wu CT, Kao PS, Liu KJ, Tsai BY, Chiang YW, Mao YC, Benedict Dlamini N, Chang J. Characterization of chicken-derived antibody against Alpha-Enolase of Streptococcus pneumoniae. Int Immunopharmacol 2024; 128:111476. [PMID: 38185035 DOI: 10.1016/j.intimp.2023.111476] [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: 09/19/2023] [Revised: 12/24/2023] [Accepted: 12/29/2023] [Indexed: 01/09/2024]
Abstract
Streptococcus pneumoniae is a clinically relevant pathogen notorious for causing pneumonia, meningitis, and otitis media in immunocompromised patients. Currently, antibiotic therapy is the most efficient treatment for fighting pneumococcal infections. However, an arise in antimicrobial resistance in S. pneumoniae has become a serious health issue globally. To resolve the problem, alternative and cost-effective strategies, such as monoclonal antibody-based targeted therapy, are needed for combating bacterial infection. S. pneumoniae alpha-enolase (spEno1), which is thought to be a great target, is a surface protein that binds and converts human plasminogen to plasmin, leading to accelerated bacterial infections. We first purified recombinant spEno1 protein for chicken immunization to generate specific IgY antibodies. We next constructed two single-chain variable fragments (scFv) antibody libraries by phage display technology, containing 7.2 × 107 and 4.8 × 107 transformants. After bio-panning, ten scFv antibodies were obtained, and their binding activities to spEno1 were evaluated on ELISA, Western blot and IFA. The epitopes of spEno1 were identified by these scFv antibodies, which binding affinities were determined by competitive ELISA. Moreover, inhibition assay displayed that the scFv antibodies effectively inhibit the binding between spEno1 and human plasminogen. Overall, the results suggested that these scFv antibodies have the potential to serve as an immunotherapeutic drug against S. pneumoniae infections.
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Affiliation(s)
- Chi-Hsin Lee
- School of Medical Laboratory Science and Biotechnology, College of Medical Science and Technology, Taipei Medical University, Taipei 110301, Taiwan; Ph.D. Program in Medical Biotechnology, College of Medical Science and Technology, Taipei Medical University, Taipei 110301, Taiwan
| | - Chao-Jung Wu
- School of Medical Laboratory Science and Biotechnology, College of Medical Science and Technology, Taipei Medical University, Taipei 110301, Taiwan; Ph.D. Program in Medical Biotechnology, College of Medical Science and Technology, Taipei Medical University, Taipei 110301, Taiwan
| | - Yi-Yuan Yang
- School of Medical Laboratory Science and Biotechnology, College of Medical Science and Technology, Taipei Medical University, Taipei 110301, Taiwan; Ph.D. Program in Medical Biotechnology, College of Medical Science and Technology, Taipei Medical University, Taipei 110301, Taiwan; Core Laboratory of Antibody Generation and Research, Taipei Medical University, Taipei 110301, Taiwan
| | - Wei-Chu Wang
- Ph.D. Program in Medical Biotechnology, College of Medical Science and Technology, Taipei Medical University, Taipei 110301, Taiwan
| | - Sy-Jye Leu
- Graduate Institute of Medical Sciences, College of Medicine, Taipei Medical University, Taipei 110301, Taiwan; Department of Microbiology and Immunology, School of Medicine, College of Medicine, Taipei Medical University, Taipei 110301, Taiwan
| | - Cheng-Tsang Wu
- School of Medical Laboratory Science and Biotechnology, College of Medical Science and Technology, Taipei Medical University, Taipei 110301, Taiwan
| | - Pei-Shih Kao
- School of Medical Laboratory Science and Biotechnology, College of Medical Science and Technology, Taipei Medical University, Taipei 110301, Taiwan
| | - Ko-Jiunn Liu
- National Institute of Cancer Research, National Health Research Institutes, Tainan 70456, Taiwan
| | - Bor-Yu Tsai
- Navi Bio-Therapeutics Inc., Taipei 10351, Taiwan
| | - Yu-Wei Chiang
- Department of Medical Research, Taipei Veterans General Hospital, Taipei 112201, Taiwan
| | - Yan-Chiao Mao
- Division of Clinical Toxicology, Department of Emergency Medicine, Taichung Veterans General Hospital, Taichung 407219, Taiwan
| | - Nhlanhla Benedict Dlamini
- Ph.D. Program in Medical Biotechnology, College of Medical Science and Technology, Taipei Medical University, Taipei 110301, Taiwan
| | - Jungshan Chang
- Graduate Institute of Medical Sciences, College of Medicine, Taipei Medical University, Taipei 110301, Taiwan; International Master/Ph.D. Program in Medicine, College of Medicine, Taipei Medical University, Taipei 11031, Taiwan; International Ph.D. Program for Cell Therapy and Regeneration Medicine, College of Medicine, Taipei Medical University, Taipei 11031, Taiwan.
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17
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Wang Z, Huang AS, Tang L, Wang J, Wang G. Microfluidic-assisted single-cell RNA sequencing facilitates the development of neutralizing monoclonal antibodies against SARS-CoV-2. LAB ON A CHIP 2024; 24:642-657. [PMID: 38165771 DOI: 10.1039/d3lc00749a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/04/2024]
Abstract
As a class of antibodies that specifically bind to a virus and block its entry, neutralizing monoclonal antibodies (neutralizing mAbs) have been recognized as a top choice for combating COVID-19 due to their high specificity and efficacy in treating serious infections. Although conventional approaches for neutralizing mAb development have been optimized for decades, there is an urgent need for workflows with higher efficiency due to time-sensitive concerns, including the high mutation rate of SARS-CoV-2. One promising approach is the identification of neutralizing mAb candidates via single-cell RNA sequencing (RNA-seq), as each B cell has a unique transcript sequence corresponding to its secreted antibody. The state-of-the-art high-throughput single-cell sequencing technologies, which have been greatly facilitated by advances in microfluidics, have greatly accelerated the process of neutralizing mAb development. Here, we provide an overview of the general procedures for high-throughput single-cell RNA-seq enabled by breakthroughs in droplet microfluidics, introduce revolutionary approaches that combine single-cell RNA-seq to facilitate the development of neutralizing mAbs against SARS-CoV-2, and outline future steps that need to be taken to further improve development strategies for effective treatments against infectious diseases.
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Affiliation(s)
- Ziwei Wang
- School of Life Sciences, Tsinghua University, Beijing, 100084, China
| | - Amelia Siqi Huang
- Dalton Academy, The Affiliated High School of Peking University, Beijing, 100190, China
| | - Lingfang Tang
- Dalton Academy, The Affiliated High School of Peking University, Beijing, 100190, China
| | - Jianbin Wang
- School of Life Sciences, Tsinghua University, Beijing, 100084, China
| | - Guanbo Wang
- Institute for Cell Analysis, Shenzhen Bay Laboratory, Shenzhen, 518132, China.
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18
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Jung J, Sung JS, Bong JH, Kim TH, Kwon S, Bae HE, Kang MJ, Jose J, Lee M, Shin HJ, Pyun JC. One-step immunoassay of SARS-CoV-2 using screened Fv-antibodies and switching peptides. Biosens Bioelectron 2024; 245:115834. [PMID: 37995624 DOI: 10.1016/j.bios.2023.115834] [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: 08/04/2023] [Revised: 10/21/2023] [Accepted: 11/09/2023] [Indexed: 11/25/2023]
Abstract
The Fv-antibodies were correponded to VH region of immunoglobulin G, which were composed of three complementarity determining regions (CDRs) for the specific binding of antigens. In this work, the Fv-antibodies against SARS-CoV-2 spike protein (SP) were screened from an autodisplayed Fv-antibody library which was expressed on E. coli outer membrane, and the receptor binding domain (RBD) of SP was used as a screening probe. The screened target clones were analyzed to have quantitative binding properties to the RBD, and the Fv-antibodies from the screened target clones were expressed as soluble proteins. The binding affinity (KD) of expressed Fv-antibodies to the RBD was estimated to be 70-85 nM using SPR biosensor. The specific binding properties of Fv-antibodies were analyzed for pseudo-virus particles with SARS-CoV-2 SP on the Lenti-virus envelope, such as wild type (Wuhan-1) and variants (Delta, Omicron BA.2, Omicron BA.4/5) using a SPR biosensor. The detection of real SARS-CoV-2 (Wild type, Wuhan-1) based on a SPR biosensor was also presented using the Fv-antibodies with the binding constant (KD) of cycle threshold value (Ct) = 33.8-32.9 (2.19-4.08 copies/μL) and LOD of 0.67-0.83 copies/μL (Ct = 35.5-35.2). Finally, one-step immunoassay based on switching peptide was demonstrated for the detection of the real SARS-CoV-2 (Wuhan-1) without any washing step. The binding constant (KD) was estimated to be Ct = 35.2-33.9 (0.83-2.04 copies/μL), and LOD was estimated to be 0.14-0.47 copies/μL (Ct = 37.8-36.0). Considering the LOD of the conventional RT-PCR (Ct = 35), the LOD of the one-step immunoassay based on the switching peptide was determined to be feasible for the medical diagnosis of COVID-19.
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Affiliation(s)
- Jaeyong Jung
- Department of Materials Science and Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, South Korea
| | - Jeong Soo Sung
- Department of Materials Science and Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, South Korea
| | - Ji-Hong Bong
- Department of Materials Science and Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, South Korea
| | - Tae-Hun Kim
- Department of Materials Science and Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, South Korea
| | - Soonil Kwon
- Department of Materials Science and Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, South Korea
| | - Hyung Eun Bae
- Department of Materials Science and Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, South Korea
| | - Min-Jung Kang
- Korea Institute of Science and Technology (KIST), Seoul, 02456, South Korea
| | - Joachim Jose
- Institute of Pharmaceutical and Medical Chemistry, Westphalian Wilhelms-University Münster, Münster 48149, Germany
| | - Misu Lee
- Institute for New Drug Development, College of Life Science and Bioengineering, Incheon National University, Incheon, 22012, South Korea
| | - Hyun-Jin Shin
- College of Veterinary Medicine, Chungnam National University, Daejeon, 34134, South Korea
| | - Jae-Chul Pyun
- Department of Materials Science and Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, South Korea.
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19
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Teranishi-Ikawa Y, Soeda T, Koga H, Yamaguchi K, Kato K, Esaki K, Asanuma K, Funaki M, Ichiki M, Ikuta Y, Ito S, Joyashiki E, Komatsu SI, Muto A, Nishimura K, Okuda M, Sanada H, Sato M, Shibahara N, Wakabayashi T, Yamaguchi K, Matsusaki A, Sampei Z, Shiraiwa H, Konishi H, Kawabe Y, Hattori K, Kitazawa T, Igawa T. A bispecific antibody NXT007 exerts a hemostatic activity in hemophilia A monkeys enough to keep a nonhemophilic state. J Thromb Haemost 2024; 22:430-440. [PMID: 37940048 DOI: 10.1016/j.jtha.2023.09.034] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Revised: 09/09/2023] [Accepted: 09/25/2023] [Indexed: 11/10/2023]
Abstract
BACKGROUND Emicizumab, a factor (F) VIIIa-function mimetic bispecific antibody (BsAb) to FIXa and FX, has become an indispensable treatment option for people with hemophilia A (PwHA). However, a small proportion of PwHA still experience bleeds even under emicizumab prophylaxis, as observed in the long-term outcomes of clinical studies. A more potent BsAb may be desirable for such patients. OBJECTIVES To identify a potent BsAb to FIXa and FX, NXT007, surpassing emicizumab by in vitro and in vivo evaluation. METHODS New pairs of light chains for emicizumab's heavy chains were screened from phage libraries, and subsequent antibody optimization was performed. For in vitro evaluation, thrombin generation assays were performed with hemophilia A plasma. In vivo hemostatic activity was evaluated in a nonhuman primate model of acquired hemophilia A. RESULTS NXT007 exhibited an in vitro thrombin generation activity comparable to the international standard activity of FVIII (100 IU/dL), much higher than emicizumab, when triggered by tissue factor. NXT007 also demonstrated a potent in vivo hemostatic activity at approximately 30-fold lower plasma concentrations than emicizumab's historical data. In terms of dose shift between NXT007 and emicizumab, the in vitro and in vivo results were concordant. Regarding pharmacokinetics, NXT007 showed lower in vivo clearance than those shown by typical monoclonal antibodies, suggesting that the Fc engineering to enhance FcRn binding worked well. CONCLUSION NXT007, a potent BsAb, was successfully created. Nonclinical results suggest that NXT007 would have a potential to keep a nonhemophilic range of coagulation potential in PwHA or to realize more convenient dosing regimens than emicizumab.
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Affiliation(s)
| | - Tetsuhiro Soeda
- Research Division, Chugai Pharmaceutical Co, Ltd, Yokohama, Kanagawa, Japan
| | - Hikaru Koga
- Research Division, Chugai Pharmaceutical Co, Ltd, Yokohama, Kanagawa, Japan.
| | - Kazuki Yamaguchi
- Research Division, Chugai Pharmaceutical Co, Ltd, Yokohama, Kanagawa, Japan
| | - Kazuki Kato
- Research Division, Chugai Pharmaceutical Co, Ltd, Yokohama, Kanagawa, Japan
| | - Keiko Esaki
- Research Division, Chugai Pharmaceutical Co, Ltd, Yokohama, Kanagawa, Japan
| | - Kentaro Asanuma
- Research Division, Chugai Pharmaceutical Co, Ltd, Yokohama, Kanagawa, Japan
| | - Miho Funaki
- Research Division, Chugai Pharmaceutical Co, Ltd, Yokohama, Kanagawa, Japan
| | - Mina Ichiki
- Research Division, Chugai Pharmaceutical Co, Ltd, Yokohama, Kanagawa, Japan
| | - Yuri Ikuta
- Research Division, Chugai Pharmaceutical Co, Ltd, Yokohama, Kanagawa, Japan
| | - Shunsuke Ito
- Research Division, Chugai Pharmaceutical Co, Ltd, Yokohama, Kanagawa, Japan
| | - Eri Joyashiki
- Research Division, Chugai Pharmaceutical Co, Ltd, Yokohama, Kanagawa, Japan
| | | | - Atsushi Muto
- Research Division, Chugai Pharmaceutical Co, Ltd, Yokohama, Kanagawa, Japan
| | - Kei Nishimura
- Research Division, Chugai Pharmaceutical Co, Ltd, Yokohama, Kanagawa, Japan
| | - Momoko Okuda
- Research Division, Chugai Pharmaceutical Co, Ltd, Yokohama, Kanagawa, Japan
| | - Hisakazu Sanada
- Research Division, Chugai Pharmaceutical Co, Ltd, Yokohama, Kanagawa, Japan
| | - Motohiko Sato
- Research Division, Chugai Pharmaceutical Co, Ltd, Yokohama, Kanagawa, Japan
| | - Norihito Shibahara
- Research Division, Chugai Pharmaceutical Co, Ltd, Yokohama, Kanagawa, Japan
| | | | - Koji Yamaguchi
- Research Division, Chugai Pharmaceutical Co, Ltd, Yokohama, Kanagawa, Japan
| | - Akiko Matsusaki
- Translational Research Division, Chugai Pharmaceutical Co., Ltd., Tokyo, Japan
| | - Zenjiro Sampei
- Research Division, Chugai Pharmaceutical Co, Ltd, Yokohama, Kanagawa, Japan
| | - Hirotake Shiraiwa
- Research Division, Chugai Pharmaceutical Co, Ltd, Yokohama, Kanagawa, Japan
| | - Hiroko Konishi
- Research Division, Chugai Pharmaceutical Co, Ltd, Yokohama, Kanagawa, Japan
| | - Yoshiki Kawabe
- Research Division, Chugai Pharmaceutical Co, Ltd, Yokohama, Kanagawa, Japan
| | - Kunihiro Hattori
- Research Division, Chugai Pharmaceutical Co, Ltd, Yokohama, Kanagawa, Japan
| | - Takehisa Kitazawa
- Research Division, Chugai Pharmaceutical Co, Ltd, Yokohama, Kanagawa, Japan
| | - Tomoyuki Igawa
- Research Division, Chugai Pharmaceutical Co, Ltd, Yokohama, Kanagawa, Japan; Translational Research Division, Chugai Pharmaceutical Co., Ltd., Tokyo, Japan
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20
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Li F, Gragert L, Giovanni Biagini D, Patel JK, Kobashigawa JA, Trück J, Rodriguez O, Watson CT, Gibb DR, Zhang X, Kransdorf EP. IgM marks persistent IgG anti-human leukocyte antigen antibodies in highly sensitized heart transplant patients. J Heart Lung Transplant 2024; 43:314-323. [PMID: 37793509 DOI: 10.1016/j.healun.2023.09.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2023] [Revised: 09/25/2023] [Accepted: 09/27/2023] [Indexed: 10/06/2023] Open
Abstract
BACKGROUND Sensitization to human leukocyte antigens (HLA) is a persistent problem in heart transplant (HT) candidates. We sought to characterize the anti-HLA antibody and circulating B cell repertoire in a cohort of highly sensitized HT candidates. METHODS We assessed immunoglobulin G (IgG) and immunoglobulin M (IgM) anti-HLA antibodies using Luminex single antigen bead assays in a cohort of 11 highly sensitized (HS; calculated panel reactive antibody ≥ 90%) and 3 mildly sensitized (MS) candidates. We also performed B cell receptor repertoire sequencing (BCRseq) in HS candidates and 33 non-candidate controls. HLA antibody strength was measured by mean fluorescence intensity (MFI). RESULTS We found that IgM anti-HLA antibodies were present in all HS candidates, but with a lower breadth and strength as compared to IgG. When anti-HLA IgG specificities intersected with IgM, binding strength was higher. In contrast, there were IgM but no intersecting IgG specificities for the MS group. In four candidates in the HS group, IgG anti-HLA antibodies decreased in both breadth and strength after HT, but the decrease in strength was smaller if the IgG possessed a specificity that intersected with pre-transplant IgM. BCRseq revealed larger B cell clonotypes in HS candidates but similar diversity as compared to controls. CONCLUSIONS IgM marks IgG anti-HLA antibodies with higher strength before HT and persistence after HT. The presence of IgM intersecting IgG for an anti-HLA specificity may be a useful approach to determine which donor HLA should be avoided for a sensitized candidate.
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Affiliation(s)
- Fang Li
- Comprehensive Transplant Center, Cedars-Sinai Medical Center, Los Angeles, California
| | - Loren Gragert
- Department of Pathology, Tulane University School of Medicine, New Orleans, Louisiana
| | - D Giovanni Biagini
- Department of Pathology, Tulane University School of Medicine, New Orleans, Louisiana
| | - Jignesh K Patel
- Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California
| | - Jon A Kobashigawa
- Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California
| | - Johannes Trück
- Division of Immunology, University Children's Hospital and Children's Research Center, University of Zurich (UZH), Zurich, Switzerland
| | - Oscar Rodriguez
- Department of Biochemistry and Molecular Genetics, University of Louisville, Louisville, Kentucky
| | - Corey T Watson
- Department of Biochemistry and Molecular Genetics, University of Louisville, Louisville, Kentucky
| | - David R Gibb
- Department of Pathology and Laboratory Medicine, Cedars-Sinai Medical Center, Los Angeles, California
| | - Xiaohai Zhang
- Comprehensive Transplant Center, Cedars-Sinai Medical Center, Los Angeles, California
| | - Evan P Kransdorf
- Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California.
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21
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Zhu Y, Tang H, Xie W, Chen S, Zeng H, Lan C, Guan J, Ma C, Yang X, Wang Q, Wei L, Zhang Z, Yu X. The multilevel extensive diversity across the cynomolgus macaque captured by ultra-deep adaptive immune receptor repertoire sequencing. SCIENCE ADVANCES 2024; 10:eadj5640. [PMID: 38266093 PMCID: PMC10807814 DOI: 10.1126/sciadv.adj5640] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Accepted: 12/22/2023] [Indexed: 01/26/2024]
Abstract
The extent to which AIRRs differ among and within individuals remains elusive. Via ultra-deep repertoire sequencing of 22 and 25 tissues in three cynomolgus macaques, respectively, we identified 84 and 114 novel IGHV and TRBV alleles, confirming 72 (85.71%) and 100 (87.72%) of them. The heterogeneous V gene usage patterns were influenced, in turn, by genetics, isotype (for BCRs only), tissue group, and tissue. A higher proportion of intragroup shared clones in the intestinal tissues than those in other tissues suggests a close intra-intestinal adaptive immunity network. Significantly higher mutation burdens in the public clones and the inter-tissue shared IgM and IgD clones indicate that they might target the shared antigens. This study reveals the extensive heterogeneity of the AIRRs at various levels and has broad fundamental and clinical implications. The data generated here will serve as an invaluable resource for future studies on adaptive immunity in health and diseases.
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Affiliation(s)
- Yan Zhu
- Center for Precision Medicine, Medical Research Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
- Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China
- Guangdong-Hong Kong Joint Laboratory on Immunological and Genetic Kidney Diseases, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
- Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China
| | - Haipei Tang
- Center for Precision Medicine, Medical Research Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
- Guangdong-Hong Kong Joint Laboratory on Immunological and Genetic Kidney Diseases, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| | - Wenxi Xie
- Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China
| | - Sen Chen
- Center for Precision Medicine, Medical Research Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
- Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China
| | - Huikun Zeng
- Center for Precision Medicine, Medical Research Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
- Guangdong-Hong Kong Joint Laboratory on Immunological and Genetic Kidney Diseases, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
- Division of Nephrology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China
| | - Chunhong Lan
- Center for Precision Medicine, Medical Research Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
- Guangdong-Hong Kong Joint Laboratory on Immunological and Genetic Kidney Diseases, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
- Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China
| | - Junjie Guan
- Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China
| | - Cuiyu Ma
- Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China
| | - Xiujia Yang
- Center for Precision Medicine, Medical Research Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
- Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China
- Guangdong-Hong Kong Joint Laboratory on Immunological and Genetic Kidney Diseases, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| | - Qilong Wang
- Center for Precision Medicine, Medical Research Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
- Guangdong-Hong Kong Joint Laboratory on Immunological and Genetic Kidney Diseases, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| | - Lai Wei
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510060, China
| | - Zhenhai Zhang
- Center for Precision Medicine, Medical Research Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
- Guangdong-Hong Kong Joint Laboratory on Immunological and Genetic Kidney Diseases, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
- Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China
- Key Laboratory of Mental Health of the Ministry of Education, Guangdong-Hong Kong-Macao Greater Bay Area Center for Brain Science and Brain-Inspired Intelligence, Southern Medical University, Guangzhou 510515, China
| | - Xueqing Yu
- Guangdong-Hong Kong Joint Laboratory on Immunological and Genetic Kidney Diseases, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
- Division of Nephrology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China
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22
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Wang M, Patsenker J, Li H, Kluger Y, Kleinstein S. Language model-based B cell receptor sequence embeddings can effectively encode receptor specificity. Nucleic Acids Res 2024; 52:548-557. [PMID: 38109302 PMCID: PMC10810273 DOI: 10.1093/nar/gkad1128] [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: 06/28/2023] [Revised: 10/18/2023] [Accepted: 11/11/2023] [Indexed: 12/20/2023] Open
Abstract
High throughput sequencing of B cell receptors (BCRs) is increasingly applied to study the immense diversity of antibodies. Learning biologically meaningful embeddings of BCR sequences is beneficial for predictive modeling. Several embedding methods have been developed for BCRs, but no direct performance benchmarking exists. Moreover, the impact of the input sequence length and paired-chain information on the prediction remains to be explored. We evaluated the performance of multiple embedding models to predict BCR sequence properties and receptor specificity. Despite the differences in model architectures, most embeddings effectively capture BCR sequence properties and specificity. BCR-specific embeddings slightly outperform general protein language models in predicting specificity. In addition, incorporating full-length heavy chains and paired light chain sequences improves the prediction performance of all embeddings. This study provides insights into the properties of BCR embeddings to improve downstream prediction applications for antibody analysis and discovery.
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Affiliation(s)
- Meng Wang
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA
| | | | - Henry Li
- Program in Applied Mathematics, Yale University, New Haven, CT, USA
| | - Yuval Kluger
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA
- Program in Applied Mathematics, Yale University, New Haven, CT, USA
- Department of Pathology, Yale School of Medicine, New Haven, CT, USA
| | - Steven H Kleinstein
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA
- Department of Pathology, Yale School of Medicine, New Haven, CT, USA
- Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA
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23
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Natali EN, Horst A, Meier P, Greiff V, Nuvolone M, Babrak LM, Fink K, Miho E. The dengue-specific immune response and antibody identification with machine learning. NPJ Vaccines 2024; 9:16. [PMID: 38245547 PMCID: PMC10799860 DOI: 10.1038/s41541-023-00788-7] [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: 12/01/2022] [Accepted: 12/07/2023] [Indexed: 01/22/2024] Open
Abstract
Dengue virus poses a serious threat to global health and there is no specific therapeutic for it. Broadly neutralizing antibodies recognizing all serotypes may be an effective treatment. High-throughput adaptive immune receptor repertoire sequencing (AIRR-seq) and bioinformatic analysis enable in-depth understanding of the B-cell immune response. Here, we investigate the dengue antibody response with these technologies and apply machine learning to identify rare and underrepresented broadly neutralizing antibody sequences. Dengue immunization elicited the following signatures on the antibody repertoire: (i) an increase of CDR3 and germline gene diversity; (ii) a change in the antibody repertoire architecture by eliciting power-law network distributions and CDR3 enrichment in polar amino acids; (iii) an increase in the expression of JNK/Fos transcription factors and ribosomal proteins. Furthermore, we demonstrate the applicability of computational methods and machine learning to AIRR-seq datasets for neutralizing antibody candidate sequence identification. Antibody expression and functional assays have validated the obtained results.
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Affiliation(s)
- Eriberto Noel Natali
- FHNW University of Applied Sciences and Arts Northwestern Switzerland, School of Life Sciences, Muttenz, Switzerland
| | - Alexander Horst
- FHNW University of Applied Sciences and Arts Northwestern Switzerland, School of Life Sciences, Muttenz, Switzerland
| | - Patrick Meier
- FHNW University of Applied Sciences and Arts Northwestern Switzerland, School of Life Sciences, Muttenz, Switzerland
| | - Victor Greiff
- Department of Immunology, Oslo University Hospital Rikshospitalet and University of Oslo, Oslo, Norway
| | - Mario Nuvolone
- Department of Molecular Medicine, University of Pavia, Pavia, Italy
| | - Lmar Marie Babrak
- FHNW University of Applied Sciences and Arts Northwestern Switzerland, School of Life Sciences, Muttenz, Switzerland
| | | | - Enkelejda Miho
- FHNW University of Applied Sciences and Arts Northwestern Switzerland, School of Life Sciences, Muttenz, Switzerland.
- SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland.
- aiNET GmbH, Basel, Switzerland.
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24
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Feng F, Yuen R, Wang Y, Hua A, Kepler TB, Wetzler LM. Characterizing adjuvants' effects at murine immunoglobulin repertoire level. iScience 2024; 27:108749. [PMID: 38269092 PMCID: PMC10805652 DOI: 10.1016/j.isci.2023.108749] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Revised: 09/29/2023] [Accepted: 12/12/2023] [Indexed: 01/26/2024] Open
Abstract
Generating large-scale, high-fidelity sequencing data is challenging and, furthermore, not much has been done to characterize adjuvants' effects at the repertoire level. Thus, we introduced an IgSeq pipeline that standardized library prep protocols and data analysis functions for accurate repertoire profiling. We then studied systemically effects of CpG and Alum on the Ig heavy chain repertoire using the ovalbumin (OVA) murine model. Ig repertoires of different tissues (spleen and bone marrow) and isotypes (IgG and IgM) were examined and compared in IGHV mutation, gene usage, CDR3 length, clonal diversity, and clonal selection. We found Ig repertoires of different compartments exhibited distinguishable profiles at the non-immunized steady state, and distinctions became more pronounced upon adjuvanted immunizations. Notably, Alum and CpG effects exhibited different tissue- and isotype-preferences. The former led to increased diversity of abundant clones in bone marrow, and the latter promoted the selection of IgG clones in both tissues.
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Affiliation(s)
- Feng Feng
- Department of Microbiology, Boston University, Boston, MA 02118, USA
| | - Rachel Yuen
- Department of Microbiology, Boston University, Boston, MA 02118, USA
| | - Yumei Wang
- Department of Microbiology, Boston University, Boston, MA 02118, USA
| | - Axin Hua
- Department of Microbiology, Boston University, Boston, MA 02118, USA
| | - Thomas B. Kepler
- Department of Microbiology, Boston University, Boston, MA 02118, USA
- Department of Mathematics and Statistics, Boston University, Boston, MA 02118, USA
| | - Lee M. Wetzler
- Department of Microbiology, Boston University, Boston, MA 02118, USA
- Department of Medicine, Boston University School of Medicine, Boston University, Boston, MA 02118, USA
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25
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Sung J, Kim S, Jung J, Kim TH, Kwon S, Bae HE, Kang MJ, Jose J, Lee M, Pyun JC. Monoamine Oxidase-A (MAO-A) Inhibitors Screened from the Autodisplayed Fv-Antibody Library. ACS Pharmacol Transl Sci 2024; 7:150-160. [PMID: 38230273 PMCID: PMC10789138 DOI: 10.1021/acsptsci.3c00204] [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: 08/25/2023] [Revised: 11/11/2023] [Accepted: 12/13/2023] [Indexed: 01/18/2024]
Abstract
Serotonin-like mimotopes were screened from the Fv-antibody library to be used as inhibitors against monoamine oxidase A (MAO-A). The Fv-antibody [corresponding to the VH region of immunoglobulin G (IgG)] consists of three complementarity-determining regions and four frame regions. The Fv-antibody library was prepared by site-directed mutagenesis of CDR3, which consists of 11 amino acid residues. Three target clones were screened from the Fv-antibody library, and the binding affinity of the screened clones to the monoclonal anti-serotonin antibody was analyzed using fluorescence-activated cell sorting. The screened Fv-antibodies were expressed as soluble proteins fused with green fluorescence protein. Additionally, the screened CDR3 regions (11 residues) of the selected Fv-antibodies were synthesized as peptides with linking amino acid residues. The binding constants (KD) of the three serotonin-like mimotopes (Fv-antibodies and peptides) were estimated using a surface plasmon resonance biosensor. The inhibitory activity (IC50) of the serotonin-like mimotopes (Fv-antibodies and peptides) was estimated separately for MAO-A and MAO-B enzymes and compared with that of conventional inhibitors. Finally, the screened serotonin-like mimotopes were used to treat a cell line (SH-SY5Y, ATCC code: CRL-2266) expressing serotonin receptors. This was done to confirm the following two aspects: (1) the binding of mimotopes to the serotonin receptors on the cell surface and (2) the inhibitory activity of mimotopes against MAO-A enzymes in the cell lysates.
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Affiliation(s)
- Jeong
Soo Sung
- Department
of Materials Science and Engineering, Yonsei
University, 50 Yonsei-Ro, Seodaemun-Gu, Seoul 03722, Korea
| | - Seunghwan Kim
- Division
of Life Sciences, College of Life Science and Bioengineering, Incheon National University, Incheon 22012, Korea
| | - Jaeyong Jung
- Department
of Materials Science and Engineering, Yonsei
University, 50 Yonsei-Ro, Seodaemun-Gu, Seoul 03722, Korea
| | - Tae-Hun Kim
- Department
of Materials Science and Engineering, Yonsei
University, 50 Yonsei-Ro, Seodaemun-Gu, Seoul 03722, Korea
| | - Soonil Kwon
- Department
of Materials Science and Engineering, Yonsei
University, 50 Yonsei-Ro, Seodaemun-Gu, Seoul 03722, Korea
| | - Hyung Eun Bae
- Department
of Materials Science and Engineering, Yonsei
University, 50 Yonsei-Ro, Seodaemun-Gu, Seoul 03722, Korea
| | - Min-Jung Kang
- Korea
Institute of Science and Technology (KIST), Seoul 02792, Korea
| | - Joachim Jose
- Institute
of Pharmaceutical and Medical Chemistry, Westfälischen Wilhelms-Universität Münster, Müenster 48149, Germany
| | - Misu Lee
- Division
of Life Sciences, College of Life Science and Bioengineering, Incheon National University, Incheon 22012, Korea
- Institute
for New Drug Development, Incheon National
University, Incheon 22012, Korea
| | - Jae-Chul Pyun
- Department
of Materials Science and Engineering, Yonsei
University, 50 Yonsei-Ro, Seodaemun-Gu, Seoul 03722, Korea
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26
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Peabody J, Core SB, Ronsard L, Lingwood D, Peabody DS, Chackerian B. An Approach for Antigen-Agnostic Identification of Virus-Like Particle-Displayed Epitopes that Engage Specific Antibody V Gene Regions. Methods Mol Biol 2024; 2720:55-74. [PMID: 37775657 DOI: 10.1007/978-1-0716-3469-1_4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/01/2023]
Abstract
Antibody complementarity determining regions (CDRs) participate in antigen recognition, but not all participate equally in antigen binding. Here we describe a technique for discovering strong, specific binding partners to defined motifs within the CDRs of chimeric, engineered antibodies using affinity selection and counter-selection of epitopes displayed on bacteriophage MS2-based virus-like particles (VLPs). As an example, we show how this technique can be used to identify families of VLPs that interact with antibodies displaying the CDRs encoded by the germline precursor of a broadly neutralizing monoclonal antibody against HIV-1.
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Affiliation(s)
- Julianne Peabody
- Department of Molecular Genetics and Microbiology, University of New Mexico School of Medicine, Albuquerque, NM, USA
| | - Susan B Core
- Department of Molecular Genetics and Microbiology, University of New Mexico School of Medicine, Albuquerque, NM, USA
| | - Larance Ronsard
- The Ragon Institute of Massachusetts General Hospital, The Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
| | - Daniel Lingwood
- The Ragon Institute of Massachusetts General Hospital, The Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
| | - David S Peabody
- Department of Molecular Genetics and Microbiology, University of New Mexico School of Medicine, Albuquerque, NM, USA
| | - Bryce Chackerian
- Department of Molecular Genetics and Microbiology, University of New Mexico School of Medicine, Albuquerque, NM, USA.
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27
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Gupta P, Horspool AM, Trivedi G, Moretti G, Datar A, Huang ZF, Chiecko J, Kenny CH, Marlow MS. Matrixed CDR grafting: A neoclassical framework for antibody humanization and developability. J Biol Chem 2024; 300:105555. [PMID: 38072062 PMCID: PMC10805677 DOI: 10.1016/j.jbc.2023.105555] [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: 05/04/2023] [Revised: 12/02/2023] [Accepted: 12/05/2023] [Indexed: 01/02/2024] Open
Abstract
Discovery and optimization of a biotherapeutic monoclonal antibody requires a careful balance of target engagement and physicochemical developability properties. To take full advantage of the sequence diversity provided by different antibody discovery platforms, a rapid and reliable process for humanization of antibodies from nonhuman sources is required. Canonically, maximizing homology of the human variable region (V-region) to the original germline was believed to result in preservation of binding, often without much consideration for inherent molecular properties. We expand on this approach by grafting the complementary determining regions (CDRs) of a mouse anti-LAG3 antibody into an extensive matrix of human variable heavy chain (VH) and variable light chain (VL) framework regions with substantially broader sequence homology to assess the impact on complementary determining region-framework compatibility through progressive evaluation of expression, affinity, biophysical developability, and function. Specific VH and VL framework sequences were associated with major expression and purification phenotypes. Greater VL sequence conservation was correlated with retained or improved affinity. Analysis of grafts that bound the target demonstrated that initial developability criteria were significantly impacted by VH, but not VL. In contrast, cell binding and functional characteristics were significantly impacted by VL, but not VH. Principal component analysis of all factors identified multiple grafts that exhibited more favorable antibody properties, notably with nonoptimal sequence conservation. Overall, this study demonstrates that modern throughput systems enable a more thorough, customizable, and systematic analysis of graft-framework combinations, resulting in humanized antibodies with improved global properties that may progress through development more quickly and with a greater probability of success.
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Affiliation(s)
- Pankaj Gupta
- Biotherapeutics Discovery, Boehringer Ingelheim Pharmaceuticals Inc, Ridgefield, Connecticut, USA.
| | - Alexander M Horspool
- Biotherapeutics Discovery, Boehringer Ingelheim Pharmaceuticals Inc, Ridgefield, Connecticut, USA
| | - Goral Trivedi
- Biotherapeutics Discovery, Boehringer Ingelheim Pharmaceuticals Inc, Ridgefield, Connecticut, USA
| | - Gina Moretti
- Biotherapeutics Discovery, Boehringer Ingelheim Pharmaceuticals Inc, Ridgefield, Connecticut, USA
| | - Akshita Datar
- Biotherapeutics Discovery, Boehringer Ingelheim Pharmaceuticals Inc, Ridgefield, Connecticut, USA
| | - Zhong-Fu Huang
- Biotherapeutics Discovery, Boehringer Ingelheim Pharmaceuticals Inc, Ridgefield, Connecticut, USA
| | - Jeffrey Chiecko
- Biotherapeutics Discovery, Boehringer Ingelheim Pharmaceuticals Inc, Ridgefield, Connecticut, USA
| | - Cynthia Hess Kenny
- Biotherapeutics Discovery, Boehringer Ingelheim Pharmaceuticals Inc, Ridgefield, Connecticut, USA
| | - Michael S Marlow
- Biotherapeutics Discovery, Boehringer Ingelheim Pharmaceuticals Inc, Ridgefield, Connecticut, USA.
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Malinge P, Chauchet X, Bourguignon J, Bosson N, Calloud S, Bautzova T, Borlet M, Laursen M, Kelpsas V, Rose N, Gueneau F, Ravn U, Magistrelli G, Fischer N. Structural analysis of light chain-driven bispecific antibodies targeting CD47 and PD-L1. MAbs 2024; 16:2362432. [PMID: 38849989 PMCID: PMC11164222 DOI: 10.1080/19420862.2024.2362432] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2024] [Accepted: 05/28/2024] [Indexed: 06/09/2024] Open
Abstract
In contrast to natural antibodies that rely mainly on the heavy chain to establish contacts with their cognate antigen, we have developed a bispecific antibody format in which the light chain (LC) drives antigen binding and specificity. To better understand epitope-paratope interactions in this context, we determined the X-ray crystallographic structures of an antigen binding fragment (Fab) in complex with human CD47 and another Fab in complex with human PD-L1. These Fabs contain a κ-LC and a λ-LC, respectively, which are paired with an identical heavy chain (HC). The structural analysis of these complexes revealed the dominant contribution of the LCs to antigen binding, but also that the common HC provides some contacts in both CD47 and PD-L1 Fab complexes. The anti-CD47 Fab was affinity optimized by diversifying complementary-determining regions of the LC followed by phage display selections. Using homology modeling, the contributions of the amino acid modification to the affinity increase were analyzed. Our results demonstrate that, despite a less prominent role in natural antibodies, the LC can mediate high affinity binding to different antigens and neutralize their biological function. Importantly, Fabs containing a common variable heavy (VH) domain enable the generation of bispecific antibodies retaining a truly native structure, maximizing their therapeutic potential.
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Affiliation(s)
- Pauline Malinge
- Light Chain Bioscience - Novimmune SA, Plan-les-Ouates, Switzerland
| | - Xavier Chauchet
- Light Chain Bioscience - Novimmune SA, Plan-les-Ouates, Switzerland
| | | | - Nicolas Bosson
- Light Chain Bioscience - Novimmune SA, Plan-les-Ouates, Switzerland
| | | | - Tereza Bautzova
- Light Chain Bioscience - Novimmune SA, Plan-les-Ouates, Switzerland
| | - Marie Borlet
- Light Chain Bioscience - Novimmune SA, Plan-les-Ouates, Switzerland
| | | | | | | | - Franck Gueneau
- Light Chain Bioscience - Novimmune SA, Plan-les-Ouates, Switzerland
| | - Ulla Ravn
- Light Chain Bioscience - Novimmune SA, Plan-les-Ouates, Switzerland
| | | | - Nicolas Fischer
- Light Chain Bioscience - Novimmune SA, Plan-les-Ouates, Switzerland
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29
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Song JJ, Chobrutskiy A, Chobrutskiy BI, Cios KJ, Huda TI, Eakins RA, Diaz MJ, Blanck G. Chemical Complementarity of Tumor Resident, Adaptive Immune Receptor CDR3s and Previously Defined Hepatitis C Virus Epitopes Correlates with Improved Outcomes in Hepatocellular Carcinoma. Viral Immunol 2023; 36:669-677. [PMID: 38052065 DOI: 10.1089/vim.2023.0078] [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: 12/07/2023] Open
Abstract
To better understand how adaptive immune receptors (IRs) in hepatocellular carcinoma (HCC) microenvironments are related to disease outcomes, we employed a chemical complementarity scoring algorithm to quantify electrostatic complementarity between HCC tumor TRB or IGH complementarity-determining region 3 (CDR3) amino acid (AA) sequences and previously characterized hepatitis C virus (HCV) epitopes. High electrostatic complementarity between HCC-resident CDR3s and 12 HCV epitopes was associated with greater survival probabilities, as indicated by two distinct HCC IR CDR3 datasets. Two of the HCV epitopes, HCV*71871 (TRB) and HCV*13458 (IGH), were also determined to represent significantly larger electrostatic CDR3-HCV epitope complementarity in HCV-positive HCC cases, compared with HCV-negative HCC cases, with the CDR3s representing yet a third, independent HCC dataset. Overall, the results indicated the utility of CDR3 AA sequences as biomarkers for HCC patient stratification and as potential guides for the development of therapeutic reagents.
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Affiliation(s)
- Joanna J Song
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, Florida, USA
| | - Andrea Chobrutskiy
- Department of Pediatrics, Oregon Health and Science University Hospital, Portland, Oregon, USA
| | - Boris I Chobrutskiy
- Department of Internal Medicine, Oregon Health and Science University Hospital, Portland, Oregon, USA
| | - Konrad J Cios
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, Florida, USA
| | - Taha I Huda
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, Florida, USA
| | - Rachel A Eakins
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, Florida, USA
| | - Michael J Diaz
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, Florida, USA
| | - George Blanck
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, Florida, USA
- Department of Immunology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
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30
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Polonsky K, Pupko T, Freund NT. Evaluation of the Ability of AlphaFold to Predict the Three-Dimensional Structures of Antibodies and Epitopes. JOURNAL OF IMMUNOLOGY (BALTIMORE, MD. : 1950) 2023; 211:1578-1588. [PMID: 37782047 DOI: 10.4049/jimmunol.2300150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Accepted: 09/06/2023] [Indexed: 10/03/2023]
Abstract
Being able to accurately predict the three-dimensional structure of an Ab can facilitate Ab characterization and epitope prediction, with important diagnostic and clinical implications. In this study, we evaluated the ability of AlphaFold to predict the structures of 222 recently published, high-resolution Fab H and L chain structures of Abs from different species directed against different Ags. We show that although the overall Ab prediction quality is in line with the results of CASP14, regions such as the complementarity-determining regions (CDRs) of the H chain, which are prone to higher variation, are predicted less accurately. Moreover, we discovered that AlphaFold mispredicts the bending angles between the variable and constant domains. To evaluate the ability of AlphaFold to model Ab-Ag interactions based only on sequence, we used AlphaFold-Multimer in combination with ZDOCK to predict the structures of 26 known Ab-Ag complexes. ZDOCK, which was applied on bound components of both the Ab and the Ag, succeeded in assembling 11 complexes, whereas AlphaFold succeeded in predicting only 2 of 26 models, with significant deviations in the docking contacts predicted in the rest of the molecules. Within the 11 complexes that were successfully predicted by ZDOCK, 9 involved short-peptide Ags (18-mer or less), whereas only 2 were complexes of Ab with a full-length protein. Docking of modeled unbound Ab and Ag was unsuccessful. In summary, our study provides important information about the abilities and limitations of using AlphaFold to predict Ab-Ag interactions and suggests areas for possible improvement.
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Affiliation(s)
- Ksenia Polonsky
- Department of Clinical Microbiology and Immunology, Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- Shmunis School of Biomedicine and Cancer Research, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel
| | - Tal Pupko
- Shmunis School of Biomedicine and Cancer Research, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel
| | - Natalia T Freund
- Department of Clinical Microbiology and Immunology, Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
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31
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Cao M, Hussmann GP, Tao Y, O’Connor E, Parthemore C, Zhang-Hulsey D, Liu D, Jiao Y, de Mel N, Prophet M, Korman S, Sonawane J, Grigoriadou C, Huang Y, Umlauf S, Chen X. Atypical Asparagine Deamidation of NW Motif Significantly Attenuates the Biological Activities of an Antibody Drug Conjugate. Antibodies (Basel) 2023; 12:68. [PMID: 37987246 PMCID: PMC10660493 DOI: 10.3390/antib12040068] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Revised: 10/12/2023] [Accepted: 10/17/2023] [Indexed: 11/22/2023] Open
Abstract
Asparagine deamidation is a post-translational modification (PTM) that converts asparagine residues into iso-aspartate and/or aspartate. Non-enzymatic asparagine deamidation is observed frequently during the manufacturing, processing, and/or storage of biotherapeutic proteins. Depending on the site of deamidation, this PTM can significantly impact the therapeutic's potency, stability, and/or immunogenicity. Thus, deamidation is routinely monitored as a potential critical quality attribute. The initial evaluation of an asparagine's potential to deamidate begins with identifying sequence liabilities, in which the n + 1 amino acid is of particular interest. NW is one motif that occurs frequently within the complementarity-determining region (CDR) of therapeutic antibodies, but according to the published literature, has a very low risk of deamidating. Here we report an unusual case of this NW motif readily deamidating within the CDR of an antibody drug conjugate (ADC), which greatly impacts the ADC's biological activities. Furthermore, this NW motif solely deamidates into iso-aspartate, rather than the typical mixture of iso-aspartate and aspartate. Interestingly, biological activities are more severely impacted by the conversion of asparagine into iso-aspartate via deamidation than by conversion into aspartate via mutagenesis. Here, we detail the discovery of this unusual NW deamidation occurrence, characterize its impact on biological activities, and utilize structural data and modeling to explain why conversion to iso-aspartate is favored and impacts biological activities more severely.
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Affiliation(s)
- Mingyan Cao
- Department of Process and Analytical Sciences, Biopharmaceutical Development, BioPharmaceuticals R&D, AstraZeneca, One Medimmune Way, Gaithersburg, MD 20878, USA; (M.C.); (Y.J.); (N.d.M.); (C.G.)
| | - G. Patrick Hussmann
- Department of Process and Analytical Sciences, Biopharmaceutical Development, BioPharmaceuticals R&D, AstraZeneca, One Medimmune Way, Gaithersburg, MD 20878, USA; (M.C.); (Y.J.); (N.d.M.); (C.G.)
| | - Yeqing Tao
- Department of Process and Analytical Sciences, Biopharmaceutical Development, BioPharmaceuticals R&D, AstraZeneca, One Medimmune Way, Gaithersburg, MD 20878, USA; (M.C.); (Y.J.); (N.d.M.); (C.G.)
| | - Ellen O’Connor
- Department of Process and Analytical Sciences, Biopharmaceutical Development, BioPharmaceuticals R&D, AstraZeneca, One Medimmune Way, Gaithersburg, MD 20878, USA; (M.C.); (Y.J.); (N.d.M.); (C.G.)
| | - Conner Parthemore
- Department of Process and Analytical Sciences, Biopharmaceutical Development, BioPharmaceuticals R&D, AstraZeneca, One Medimmune Way, Gaithersburg, MD 20878, USA; (M.C.); (Y.J.); (N.d.M.); (C.G.)
| | - Diana Zhang-Hulsey
- Department of Process and Analytical Sciences, Biopharmaceutical Development, BioPharmaceuticals R&D, AstraZeneca, One Medimmune Way, Gaithersburg, MD 20878, USA; (M.C.); (Y.J.); (N.d.M.); (C.G.)
| | - Dengfeng Liu
- Department of Process and Analytical Sciences, Biopharmaceutical Development, BioPharmaceuticals R&D, AstraZeneca, One Medimmune Way, Gaithersburg, MD 20878, USA; (M.C.); (Y.J.); (N.d.M.); (C.G.)
| | - Yang Jiao
- Department of Process and Analytical Sciences, Biopharmaceutical Development, BioPharmaceuticals R&D, AstraZeneca, One Medimmune Way, Gaithersburg, MD 20878, USA; (M.C.); (Y.J.); (N.d.M.); (C.G.)
| | - Niluka de Mel
- Department of Process and Analytical Sciences, Biopharmaceutical Development, BioPharmaceuticals R&D, AstraZeneca, One Medimmune Way, Gaithersburg, MD 20878, USA; (M.C.); (Y.J.); (N.d.M.); (C.G.)
| | - Meagan Prophet
- Department of Process and Analytical Sciences, Biopharmaceutical Development, BioPharmaceuticals R&D, AstraZeneca, One Medimmune Way, Gaithersburg, MD 20878, USA; (M.C.); (Y.J.); (N.d.M.); (C.G.)
| | - Samuel Korman
- Department of Process and Analytical Sciences, Biopharmaceutical Development, BioPharmaceuticals R&D, AstraZeneca, One Medimmune Way, Gaithersburg, MD 20878, USA; (M.C.); (Y.J.); (N.d.M.); (C.G.)
| | - Jaytee Sonawane
- Department of Process and Analytical Sciences, Biopharmaceutical Development, BioPharmaceuticals R&D, AstraZeneca, One Medimmune Way, Gaithersburg, MD 20878, USA; (M.C.); (Y.J.); (N.d.M.); (C.G.)
| | - Christina Grigoriadou
- Department of Process and Analytical Sciences, Biopharmaceutical Development, BioPharmaceuticals R&D, AstraZeneca, One Medimmune Way, Gaithersburg, MD 20878, USA; (M.C.); (Y.J.); (N.d.M.); (C.G.)
| | - Yue Huang
- Department of Integrated Bioanalysis, Clinical Pharmacology & Safety Sciences, R&D, AstraZeneca, 121 Oyster Point Boulevard, South San Francisco, CA 94080, USA
| | - Scott Umlauf
- Department of Process and Analytical Sciences, Biopharmaceutical Development, BioPharmaceuticals R&D, AstraZeneca, One Medimmune Way, Gaithersburg, MD 20878, USA; (M.C.); (Y.J.); (N.d.M.); (C.G.)
| | - Xiaoyu Chen
- Department of Process and Analytical Sciences, Biopharmaceutical Development, BioPharmaceuticals R&D, AstraZeneca, One Medimmune Way, Gaithersburg, MD 20878, USA; (M.C.); (Y.J.); (N.d.M.); (C.G.)
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Jensen CG, Sumner JA, Kleinstein SH, Hoehn KB. Inferring B cell phylogenies from paired heavy and light chain BCR sequences with Dowser. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.09.29.560187. [PMID: 37873135 PMCID: PMC10592837 DOI: 10.1101/2023.09.29.560187] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/25/2023]
Abstract
Antibodies are vital to human immune responses and are composed of genetically variable heavy and light chains. These structures are initially expressed as B cell receptors (BCRs). BCR diversity is shaped through somatic hypermutation and selection during immune responses. This evolutionary process produces B cell clones, cells that descend from a common ancestor but differ by mutations. Phylogenetic trees inferred from BCR sequences can reconstruct the history of mutations within a clone. Until recently, BCR sequencing technologies separated heavy and light chains, but advancements in single cell sequencing now pair heavy and light chains from individual cells. However, it is unclear how these separate genes should be combined to infer B cell phylogenies. In this study, we investigated strategies for using paired heavy and light chain sequences to build phylogenetic trees. We found incorporating light chains significantly improved tree accuracy and reproducibility across all methods tested. This improvement was greater than the difference between tree building methods and persisted even when mixing bulk and single cell sequencing data. However, we also found that many phylogenetic methods estimated significantly biased branch lengths when some light chains were missing, such as when mixing single cell and bulk BCR data. This bias was eliminated using maximum likelihood methods with separate branch lengths for heavy and light chain gene partitions. Thus, we recommend using maximum likelihood methods with separate heavy and light chain partitions, especially when mixing data types. We implemented these methods in the R package Dowser: https://dowser.readthedocs.io.
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Affiliation(s)
- Cole G. Jensen
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06511, USA
| | - Jacob A. Sumner
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06511, USA
- Integrated Graduate Program in Physical and Engineering Biology, Yale University, New Haven, Connecticut, 06520, USA
| | - Steven H. Kleinstein
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06511, USA
- Department of Pathology, Yale School of Medicine, New Haven, CT 06520, USA
- Department of Immunobiology, Yale School of Medicine, New Haven, CT 06520, USA
| | - Kenneth B. Hoehn
- Department of Pathology, Yale School of Medicine, New Haven, CT 06520, USA
- Current address: Department of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, NH 03755, USA
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Jung J, Bong JH, Sung JS, Park JH, Kim TH, Kwon S, Kang MJ, Jose J, Pyun JC. Immunoaffinity biosensors for the detection of SARS-CoV-1 using screened Fv-antibodies from an autodisplayed Fv-antibody library. Biosens Bioelectron 2023; 237:115439. [PMID: 37301177 PMCID: PMC10223632 DOI: 10.1016/j.bios.2023.115439] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Revised: 05/21/2023] [Accepted: 05/26/2023] [Indexed: 06/12/2023]
Abstract
The detection of severe acute respiratory syndrome coronavirus (SARS-CoV-1) was demonstrated using screened Fv-antibodies for SPR biosensor and impedance spectrometry. The Fv-antibody library was first prepared on the outer membrane of E. coli using autodisplay technology and the Fv-variants (clones) with a specific affinity toward the SARS-CoV-1 spike protein (SP) were screened using magnetic beads immobilized with the SP. Upon screening the Fv-antibody library, two target Fv-variants (clones) with a specific binding affinity toward the SARS-CoV-1 SP were determined and the Fv-antibodies on two clones were named "Anti-SP1" (with CDR3 amino acid sequence: 1GRTTG5NDRPD11Y) and "Anti-SP2" (with CDR3 amino acid sequence: 1CLRQA5GTADD11V). The binding affinities of the two screened Fv-variants (clones) were analyzed using flow cytometry and the binding constants (KD) were estimated to be 80.5 ± 3.6 nM for Anti-SP1 and 45.6 ± 8.9 nM for Anti-SP2 (n = 3). In addition, the Fv-antibody including three CDR regions (CDR1, CDR2, and CDR3) and frame regions (FRs) between the CDR regions was expressed as a fusion protein (Mw. 40.6 kDa) with a green fluorescent protein (GFP) and the KD values of the expressed Fv-antibodies toward the SP estimated to be 15.3 ± 1.5 nM for Anti-SP1 (n = 3) and 16.3 ± 1.7 nM for Anti-SP2 (n = 3). Finally, the expressed Fv-antibodies screened against SARS-CoV-1 SP (Anti-SP1 and Anti-SP2) were applied for the detection of SARS-CoV-1. Consequently, the detection of SARS-CoV-1 was demonstrated to be feasible using the SPR biosensor and impedance spectrometry utilizing the immobilized Fv-antibodies against the SARS-CoV-1 SP.
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Affiliation(s)
- Jaeyong Jung
- Department of Materials Science and Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, South Korea
| | - Ji-Hong Bong
- Department of Materials Science and Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, South Korea
| | - Jeong Soo Sung
- Department of Materials Science and Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, South Korea
| | - Jun-Hee Park
- Department of Materials Science and Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, South Korea
| | - Tae-Hun Kim
- Department of Materials Science and Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, South Korea
| | - Soonil Kwon
- Department of Materials Science and Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, South Korea
| | - Min-Jung Kang
- Korea Institute of Science and Technology (KIST), Seoul, South Korea
| | - Joachim Jose
- Institute of Pharmaceutical and Medical Chemistry, Westphalian Wilhelms-University Münster, Münster, 48149, Germany
| | - Jae-Chul Pyun
- Department of Materials Science and Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, South Korea.
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Schoenfeld K, Harwardt J, Habermann J, Elter A, Kolmar H. Conditional activation of an anti-IgM antibody-drug conjugate for precise B cell lymphoma targeting. Front Immunol 2023; 14:1258700. [PMID: 37841262 PMCID: PMC10569071 DOI: 10.3389/fimmu.2023.1258700] [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: 07/14/2023] [Accepted: 09/07/2023] [Indexed: 10/17/2023] Open
Abstract
Cancerous B cells are almost indistinguishable from their non-malignant counterparts regarding their surface antigen expression. Accordingly, the challenge to be faced consists in elimination of the malignant B cell population while maintaining a functional adaptive immune system. Here, we present an IgM-specific antibody-drug conjugate masked by fusion of the epitope-bearing IgM constant domain. Antibody masking impaired interaction with soluble pentameric as well as cell surface-expressed IgM molecules rendering the antibody cytotoxically inactive. Binding capacity of the anti-IgM antibody drug conjugate was restored upon conditional protease-mediated demasking which consequently enabled target-dependent antibody internalization and subsequent induction of apoptosis in malignant B cells. This easily adaptable approach potentially provides a novel mechanism of clonal B cell lymphoma eradication to the arsenal available for non-Hodgkin's lymphoma treatment.
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Affiliation(s)
- Katrin Schoenfeld
- Institute for Organic Chemistry and Biochemistry, Technical University of Darmstadt, Darmstadt, Germany
| | - Julia Harwardt
- Institute for Organic Chemistry and Biochemistry, Technical University of Darmstadt, Darmstadt, Germany
| | - Jan Habermann
- Institute for Organic Chemistry and Biochemistry, Technical University of Darmstadt, Darmstadt, Germany
| | - Adrian Elter
- Institute for Organic Chemistry and Biochemistry, Technical University of Darmstadt, Darmstadt, Germany
| | - Harald Kolmar
- Institute for Organic Chemistry and Biochemistry, Technical University of Darmstadt, Darmstadt, Germany
- Centre for Synthetic Biology, Technical University of Darmstadt, Darmstadt, Germany
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35
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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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Shaw B, McDonnell T, Radley E, Thomas B, Smith L, Davenport CA, Gonzalez S, Rahman A, Layfield R. Preservation of whole antibodies within ancient teeth. iScience 2023; 26:107575. [PMID: 37622005 PMCID: PMC10445445 DOI: 10.1016/j.isci.2023.107575] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Revised: 06/17/2023] [Accepted: 08/04/2023] [Indexed: 08/26/2023] Open
Abstract
Archaeological remains can preserve some proteins into deep time, offering remarkable opportunities for probing past events in human history. Recovering functional proteins from skeletal tissues could uncover a molecular memory related to the life-history of the associated remains. We demonstrate affinity purification of whole antibody molecules from medieval human teeth, dating to the 13th-15th centuries, from skeletons with different putative pathologies. Purified antibodies are intact retaining disulphide-linkages, are amenable to primary sequences analysis, and demonstrate apparent immunoreactivity against contemporary EBV antigen on western blot. Our observations highlight the potential of ancient antibodies to provide insights into the long-term association between host immune factors and ancient microbes, and more broadly retain a molecular memory related to the natural history of human health and immunity.
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Affiliation(s)
- Barry Shaw
- School of Life Sciences, University of Nottingham Medical School, Nottingham, UK
| | - Thomas McDonnell
- Centre for Rheumatology Research, Division of Medicine, UCL, London, UK
| | - Elizabeth Radley
- Department of Biochemistry, University of Toronto, Toronto, Canada
| | - Brian Thomas
- Mass Spectrometry Research Group, University of Liverpool, Liverpool, UK
| | - Lynn Smith
- Norton Priory Museum and Gardens, Runcorn, UK
| | - Carol A.L. Davenport
- Research Centre for Evolutionary Anthropology and Paleoecology, Liverpool John Moores University, Liverpool, UK
| | - Silvia Gonzalez
- Research Centre for Evolutionary Anthropology and Paleoecology, Liverpool John Moores University, Liverpool, UK
| | - Anisur Rahman
- Centre for Rheumatology Research, Division of Medicine, UCL, London, UK
| | - Rob Layfield
- School of Life Sciences, University of Nottingham Medical School, Nottingham, UK
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Pabst O, Nowosad CR. B cells and the intestinal microbiome in time, space and place. Semin Immunol 2023; 69:101806. [PMID: 37473559 DOI: 10.1016/j.smim.2023.101806] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Accepted: 07/08/2023] [Indexed: 07/22/2023]
Abstract
The gut immune system is shaped by the continuous interaction with the microbiota. Here we dissect temporal, spatial and contextual layers of gut B cell responses. The microbiota impacts on the selection of the developing pool of pre-immune B cells that serves as substrate for B cell activation, expansion and differentiation. However, various aspects of the gut B cell response display unique features. In particular, occurrence of somatically mutated B cells, chronic gut germinal centers in T cell-deficient settings and polyreactive binding of gut IgA to the microbiota questioned the nature and microbiota-specificity of gut germinal centers. We propose a model to reconcile these observations incorporating recent work demonstrating microbiota-specificity of gut germinal centers. We speculate that adjuvant effects of the microbiota might modify permissiveness for B cell to enter and exit gut germinal centers. We propose that separating aspects of time, space and place facilitate the occasionally puzzling discussion of gut B cell responses to the microbiota.
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Affiliation(s)
- Oliver Pabst
- Institute of Molecular Medicine, RWTH Aachen University, Aachen, Germany.
| | - Carla R Nowosad
- Department of Pathology, NYU Grossman School of Medicine, New York University, New York, USA; Translational Immunology Center, NYU Grossman School of Medicine, New York University, New York, USA.
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Singh S, Tian W, Severance ZC, Chaudhary SK, Anokhina V, Mondal B, Pergu R, Singh P, Dhawa U, Singha S, Choudhary A. Proximity-inducing modalities: the past, present, and future. Chem Soc Rev 2023; 52:5485-5515. [PMID: 37477631 DOI: 10.1039/d2cs00943a] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/22/2023]
Abstract
Living systems use proximity to regulate biochemical processes. Inspired by this phenomenon, bifunctional modalities that induce proximity have been developed to redirect cellular processes. An emerging example of this class is molecules that induce ubiquitin-dependent proteasomal degradation of a protein of interest, and their initial development sparked a flurry of discovery for other bifunctional modalities. Recent advances in this area include modalities that can change protein phosphorylation, glycosylation, and acetylation states, modulate gene expression, and recruit components of the immune system. In this review, we highlight bifunctional modalities that perform functions other than degradation and have great potential to revolutionize disease treatment, while also serving as important tools in basic research to explore new aspects of biology.
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Affiliation(s)
- Sameek Singh
- Chemical Biology and Therapeutics Science, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
| | - Wenzhi Tian
- Chemical Biology and Therapeutics Science, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
| | - Zachary C Severance
- Chemical Biology and Therapeutics Science, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
| | - Santosh K Chaudhary
- Chemical Biology and Therapeutics Science, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
| | - Viktoriya Anokhina
- Chemical Biology and Therapeutics Science, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
| | - Basudeb Mondal
- Chemical Biology and Therapeutics Science, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
| | - Rajaiah Pergu
- Chemical Biology and Therapeutics Science, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
| | - Prashant Singh
- Chemical Biology and Therapeutics Science, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
| | - Uttam Dhawa
- Chemical Biology and Therapeutics Science, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
| | - Santanu Singha
- Chemical Biology and Therapeutics Science, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
| | - Amit Choudhary
- Chemical Biology and Therapeutics Science, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
- Department of Medicine, Harvard Medical School, Boston, MA 02115, USA
- Divisions of Renal Medicine and Engineering, Brigham and Women's Hospital, Boston, MA 02115, USA
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Calonga-Solís V, Olbrich M, Ott F, Adelman Cipolla G, Malheiros D, Künstner A, Farias TD, Camargo CM, Petzl-Erler ML, Busch H, Fähnrich A, Augusto DG. The landscape of the immunoglobulin repertoire in endemic pemphigus foliaceus. Front Immunol 2023; 14:1189251. [PMID: 37575223 PMCID: PMC10421657 DOI: 10.3389/fimmu.2023.1189251] [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: 03/18/2023] [Accepted: 07/05/2023] [Indexed: 08/15/2023] Open
Abstract
Introduction Primarily driven by autoreactive B cells, pemphigus foliaceus (PF) is an uncommon autoimmune blistering skin disease of sporadic occurrence worldwide. However, PF reaches a prevalence of 3% in the endemic areas of Brazil, the highest ever registered for any autoimmune disease, which indicates environmental factors influencing the immune response in susceptible individuals. We aimed to provide insights into the immune repertoire of patients with PF living in the endemic region of the disease, compared to healthy individuals from the endemic region and a non-endemic area. Methods We characterized the B-cell repertoire in i) nontreated patients (n=5); ii) patients under immunosuppressive treatment (n=5); iii) patients in remission without treatment (n=6); and two control groups iv) from the endemic (n=6) and v) non-endemic areas in Brazil (n=4). We used total RNA extracted from peripheral blood mononuclear cells and performed a comprehensive characterization of the variable region of immunoglobulin heavy chain (IGH) in IgG and IgM using next-generation sequencing. Results Compared to individuals from a different area, we observed remarkably lower clonotype diversity in the B-cell immune repertoire of patients and controls from the endemic area (p < 0.02), suggesting that the immune repertoire in the endemic area is under geographically specific and intense environmental pressure. Moreover, we observed longer CDR3 sequences in patients, and we identified differential disease-specific usage of IGHV segments, including increased IGHV3-30 and decreased IGHV3-23 in patients with active disease (p < 0.04). Finally, our robust network analysis discovered clusters of CDR3 sequences uniquely observed in patients with PF. Discussion Our results indicate that environmental factors, in addition to disease state, impact the characteristics of the repertoire. Our findings can be applied to further investigation of the environmental factors that trigger pemphigus and expand the knowledge for identifying new targeted and more effective therapies.
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Affiliation(s)
- Verónica Calonga-Solís
- Programa de Pós-Graduação em Genética, Universidade Federal do Paraná, Curitiba, Brazil
- Medical Systems Biology Group, Lübeck Institute of Experimental Dermatology, University of Lübeck, Lübeck, Germany
| | - Michael Olbrich
- Medical Systems Biology Group, Lübeck Institute of Experimental Dermatology, University of Lübeck, Lübeck, Germany
| | - Fabian Ott
- Medical Systems Biology Group, Lübeck Institute of Experimental Dermatology, University of Lübeck, Lübeck, Germany
| | | | - Danielle Malheiros
- Programa de Pós-Graduação em Genética, Universidade Federal do Paraná, Curitiba, Brazil
| | - Axel Künstner
- Medical Systems Biology Group, Lübeck Institute of Experimental Dermatology, University of Lübeck, Lübeck, Germany
| | - Ticiana D.J. Farias
- Programa de Pós-Graduação em Genética, Universidade Federal do Paraná, Curitiba, Brazil
| | - Carolina M. Camargo
- Programa de Pós-Graduação em Genética, Universidade Federal do Paraná, Curitiba, Brazil
| | | | - Hauke Busch
- Medical Systems Biology Group, Lübeck Institute of Experimental Dermatology, University of Lübeck, Lübeck, Germany
| | - Anke Fähnrich
- Medical Systems Biology Group, Lübeck Institute of Experimental Dermatology, University of Lübeck, Lübeck, Germany
| | - Danillo G. Augusto
- Programa de Pós-Graduação em Genética, Universidade Federal do Paraná, Curitiba, Brazil
- Department of Biological Sciences, The University of North Carolina at Charlotte, Charlotte, NC, United States
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Sivelle C, Sierocki R, Lesparre Y, Lomet A, Quintilio W, Dubois S, Correia E, Moro AM, Maillère B, Nozach H. Combining deep mutational scanning to heatmap of HLA class II binding of immunogenic sequences to preserve functionality and mitigate predicted immunogenicity. Front Immunol 2023; 14:1197919. [PMID: 37575221 PMCID: PMC10416631 DOI: 10.3389/fimmu.2023.1197919] [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: 04/03/2023] [Accepted: 07/10/2023] [Indexed: 08/15/2023] Open
Abstract
Removal of CD4 T cell epitopes from therapeutic antibody sequences is expected to mitigate their potential immunogenicity, but its application is complicated by the location of their T cell epitopes, which mainly overlap with complementarity-determining regions. We therefore evaluated the flexibility of antibody sequences to reduce the predicted affinity of corresponding peptides for HLA II molecules and to maintain antibody binding to its target in order to guide antibody engineering for mitigation of predicted immunogenicity. Permissive substitutions to reduce affinity of peptides for HLA II molecules were identified by establishing a heatmap of HLA class II binding using T-cell epitope prediction tools, while permissive substitutions preserving binding to the target were identified by means of deep mutational scanning and yeast surface display. Combinatorial libraries were then designed to identify active clones. Applied to adalimumab, an anti-TNFα human antibody, this approach identified 200 mutants with a lower HLA binding score than adalimumab. Three mutants were produced as full-length antibodies and showed a higher affinity for TNFα and neutralization ability than adalimumab. This study also sheds light on the permissiveness of antibody sequences with regard to functionality and predicted T cell epitope content.
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Affiliation(s)
- Coline Sivelle
- Université de Paris-Saclay, CEA, INRAE, Département Médicaments et Technologies pour la Santé, SIMoS, Gif-sur-Yvette, France
| | - Raphael Sierocki
- Université de Paris-Saclay, CEA, INRAE, Département Médicaments et Technologies pour la Santé, SIMoS, Gif-sur-Yvette, France
- Deeptope SAS, Orsay, France
| | | | - Aurore Lomet
- CEA List, Université Paris-Saclay, Palaiseau, France
| | - Wagner Quintilio
- Biopharmaceuticals Laboratory, Butantan Institute, Sao Paulo, Brazil
| | - Steven Dubois
- Université de Paris-Saclay, CEA, INRAE, Département Médicaments et Technologies pour la Santé, SIMoS, Gif-sur-Yvette, France
| | - Evelyne Correia
- Université de Paris-Saclay, CEA, INRAE, Département Médicaments et Technologies pour la Santé, SIMoS, Gif-sur-Yvette, France
| | - Ana Maria Moro
- Biopharmaceuticals Laboratory, Butantan Institute, Sao Paulo, Brazil
| | - Bernard Maillère
- Université de Paris-Saclay, CEA, INRAE, Département Médicaments et Technologies pour la Santé, SIMoS, Gif-sur-Yvette, France
| | - Hervé Nozach
- Université de Paris-Saclay, CEA, INRAE, Département Médicaments et Technologies pour la Santé, SIMoS, Gif-sur-Yvette, France
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Arslan M, Uluçay T, Kale S, Kalyoncu S. Engineering of conserved residues near antibody heavy chain complementary determining region 3 (HCDR3) improves both affinity and stability. BIOCHIMICA ET BIOPHYSICA ACTA. PROTEINS AND PROTEOMICS 2023; 1871:140915. [PMID: 37059314 DOI: 10.1016/j.bbapap.2023.140915] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Revised: 04/11/2023] [Accepted: 04/11/2023] [Indexed: 04/16/2023]
Abstract
Affinity and stability are crucial parameters in antibody development and engineering approaches. Although improvement in both metrics is desirable, trade-offs are almost unavoidable. Heavy chain complementarity determining region 3 (HCDR3) is the best-known region for antibody affinity but its impact on stability is often neglected. Here, we present a mutagenesis study of conserved residues near HCDR3 to elicit the role of this region in the affinity-stability trade-off. These key residues are positioned around the conserved salt bridge between VH-K94 and VH-D101 which is crucial for HCDR3 integrity. We show that the additional salt bridge at the stem of HCDR3 (VH-K94:VH-D101:VH-D102) has an extensive impact on this loop's conformation, therefore simultaneous improvement in both affinity and stability. We find that the disruption of π-π stacking near HCDR3 (VH-Y100E:VL-Y49) at the VH-VL interface cause an irrecoverable loss in stability even if it improves the affinity. Molecular simulations of putative rescue mutants exhibit complex and often non-additive effects. We confirm that our experimental measurements agree with the molecular dynamic simulations providing detailed insights for the spatial orientation of HCDR3. VH-V102 right next to HCDR3 salt bridge might be an ideal candidate to overcome affinity-stability trade-off.
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Affiliation(s)
- Merve Arslan
- Izmir Biomedicine and Genome Center, Balçova, 35340 Izmir, Turkey; Izmir International Biomedicine and Genome Institute, Dokuz Eylül University, Balçova, 35340 Izmir, Turkey
| | - Tuğçe Uluçay
- Izmir Biomedicine and Genome Center, Balçova, 35340 Izmir, Turkey
| | - Seyit Kale
- Izmir Biomedicine and Genome Center, Balçova, 35340 Izmir, Turkey
| | - Sibel Kalyoncu
- Izmir Biomedicine and Genome Center, Balçova, 35340 Izmir, Turkey.
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42
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Hoh RA, Thörnqvist L, Yang F, Godzwon M, King JJ, Lee JY, Greiff L, Boyd SD, Ohlin M. Clonal evolution and stereotyped sequences of human IgE lineages in aeroallergen-specific immunotherapy. J Allergy Clin Immunol 2023; 152:214-229. [PMID: 36828082 DOI: 10.1016/j.jaci.2023.02.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Revised: 01/22/2023] [Accepted: 02/09/2023] [Indexed: 02/24/2023]
Abstract
BACKGROUND Allergic disease reflects specific inflammatory processes initiated by interaction between allergen and allergen-specific IgE. Specific immunotherapy (SIT) is an effective long-term treatment option, but the mechanisms by which SIT provides desensitization are not well understood. OBJECTIVE Our aim was to characterize IgE sequences expressed by allergen-specific B cells over a 3-year longitudinal study of patients with aeroallergies who were undergoing SIT. METHODS Allergen-specific IgE-expressing clones were identified by using combinatorial single-chain variable fragment libraries and tracked in PBMCs and nasal biopsy samples over a 3-year period with antibody gene repertoire sequencing. The characteristics of private IgE-expressing clones were compared with those of stereotyped or "public" IgE responses to the grass pollen allergen Phleum pratense (Phl p) 2. RESULT Members of the same allergen-specific IgE lineages were observed in nasal biopsy samples and blood, and lineages detected at baseline persisted in blood and nasal biopsy samples after 3 years of SIT, including B cells that express IgE. Evidence of progressive class switch recombination to IgG subclasses was observed after 3 years of SIT. A common stereotyped Phl p 2-specific antibody heavy chain sequence was detected in multiple donors. The amino acid residues enriched in IgE-stereotyped sequences from seropositive donors were analyzed with machine learning and k-mer motif discovery. Stereotyped IgE sequences had lower overall rates of somatic hypermutation and antigen selection than did single-chain variable fragment-derived allergen-specific sequences or IgE sequences of unknown specificity. CONCLUSION Longitudinal tracking of rare circulating and tissue-resident allergen-specific IgE+ clones demonstrates persistence of allergen-specific IgE+ clones, progressive class switch recombination to IgG subtypes, and distinct maturation of a stereotyped Phl p 2 clonotype.
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Affiliation(s)
- Ramona A Hoh
- Department of Pathology, Stanford University, Stanford, Calif
| | | | - Fan Yang
- Department of Pathology, Stanford University, Stanford, Calif
| | | | - Jasmine J King
- Department of Pathology, Stanford University, Stanford, Calif
| | - Ji-Yeun Lee
- Department of Pathology, Stanford University, Stanford, Calif
| | - Lennart Greiff
- Department of Clinical Sciences, Lund University, Lund, Sweden; Department of Otorhinolaryngology, Head and Neck Surgery, Skåne University Hospital, Lund, Sweden
| | - Scott D Boyd
- Department of Pathology, Stanford University, Stanford, Calif; Sean N. Parker Center for Allergy and Asthma Research, Stanford University, Stanford, Calif
| | - Mats Ohlin
- Department of Immunotechnology, Lund University, Lund, Sweden
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Robinson MP, Jung J, Lopez-Barbosa N, Chang M, Li M, Jaroentomeechai T, Cox EC, Zheng X, Berkmen M, DeLisa MP. Isolation of full-length IgG antibodies from combinatorial libraries expressed in the cytoplasm of Escherichia coli. Nat Commun 2023; 14:3514. [PMID: 37316535 PMCID: PMC10267130 DOI: 10.1038/s41467-023-39178-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: 05/09/2020] [Accepted: 06/01/2023] [Indexed: 06/16/2023] Open
Abstract
Here we describe a facile and robust genetic selection for isolating full-length IgG antibodies from combinatorial libraries expressed in the cytoplasm of redox-engineered Escherichia coli cells. The method is based on the transport of a bifunctional substrate comprised of an antigen fused to chloramphenicol acetyltransferase, which allows positive selection of bacterial cells co-expressing cytoplasmic IgGs called cyclonals that specifically capture the chimeric antigen and sequester the antibiotic resistance marker in the cytoplasm. The utility of this approach is first demonstrated by isolating affinity-matured cyclonal variants that specifically bind their cognate antigen, the leucine zipper domain of a yeast transcriptional activator, with subnanomolar affinities, which represent a ~20-fold improvement over the parental IgG. We then use the genetic assay to discover antigen-specific cyclonals from a naïve human antibody repertoire, leading to the identification of lead IgG candidates with affinity and specificity for an influenza hemagglutinin-derived peptide antigen.
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Affiliation(s)
- Michael-Paul Robinson
- Robert F. Smith School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, NY, 14853, USA
| | - Jinjoo Jung
- Robert F. Smith School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, NY, 14853, USA
| | - Natalia Lopez-Barbosa
- Robert F. Smith School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, NY, 14853, USA
| | - Matthew Chang
- Robert F. Smith School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, NY, 14853, USA
| | - Mingji Li
- Robert F. Smith School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, NY, 14853, USA
| | - Thapakorn Jaroentomeechai
- Robert F. Smith School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, NY, 14853, USA
| | - Emily C Cox
- Biomedical and Biological Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY, 14853, USA
| | - Xiaolu Zheng
- Robert F. Smith School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, NY, 14853, USA
| | - Mehmet Berkmen
- New England Biolabs, 240 County Road, Ipswich, MA, 01938, USA
| | - Matthew P DeLisa
- Robert F. Smith School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, NY, 14853, USA.
- Biomedical and Biological Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY, 14853, USA.
- Cornell Institute of Biotechnology, Cornell University, Ithaca, NY, 14853, USA.
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Ramirez Valdez K, Nzau B, Dorey-Robinson D, Jarman M, Nyagwange J, Schwartz JC, Freimanis G, Steyn AW, Warimwe GM, Morrison LJ, Mwangi W, Charleston B, Bonnet-Di Placido M, Hammond JA. A Customizable Suite of Methods to Sequence and Annotate Cattle Antibodies. Vaccines (Basel) 2023; 11:1099. [PMID: 37376488 PMCID: PMC10302312 DOI: 10.3390/vaccines11061099] [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: 05/12/2023] [Revised: 06/07/2023] [Accepted: 06/09/2023] [Indexed: 06/29/2023] Open
Abstract
Studying the antibody response to infection or vaccination is essential for developing more effective vaccines and therapeutics. Advances in high-throughput antibody sequencing technologies and immunoinformatic tools now allow the fast and comprehensive analysis of antibody repertoires at high resolution in any species. Here, we detail a flexible and customizable suite of methods from flow cytometry, single cell sorting, heavy and light chain amplification to antibody sequencing in cattle. These methods were used successfully, including adaptation to the 10x Genomics platform, to isolate native heavy-light chain pairs. When combined with the Ig-Sequence Multi-Species Annotation Tool, this suite represents a powerful toolkit for studying the cattle antibody response with high resolution and precision. Using three workflows, we processed 84, 96, and 8313 cattle B cells from which we sequenced 24, 31, and 4756 antibody heavy-light chain pairs, respectively. Each method has strengths and limitations in terms of the throughput, timeline, specialist equipment, and cost that are each discussed. Moreover, the principles outlined here can be applied to study antibody responses in other mammalian species.
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Affiliation(s)
| | - Benjamin Nzau
- The Pirbright Institute, Pirbright GU24 0NF, UK
- Roslin Institute, Royal (Dick) School of Veterinary Studies, University of Edinburgh, Midlothian EH25 9RG, UK
| | | | | | - James Nyagwange
- The Pirbright Institute, Pirbright GU24 0NF, UK
- KEMRI-Wellcome Trust Research Programme CGMRC, Kilifi P.O. Box 230-80108, Kenya
| | | | | | | | - George M Warimwe
- KEMRI-Wellcome Trust Research Programme CGMRC, Kilifi P.O. Box 230-80108, Kenya
| | - Liam J Morrison
- Roslin Institute, Royal (Dick) School of Veterinary Studies, University of Edinburgh, Midlothian EH25 9RG, UK
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Damphathik C, Songsiriritthigul C, Lerdsri J, Jakmunee J, Wongnongwa Y, Jungsuttiwong S, Ortner A, Kalcher K, Samphao A. A novel immunosensor based on cobalt oxide nanocomposite modified single walled carbon nanohorns for the selective detection of aflatoxin B1. Talanta 2023; 258:124472. [PMID: 37013336 DOI: 10.1016/j.talanta.2023.124472] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Revised: 03/13/2023] [Accepted: 03/18/2023] [Indexed: 03/29/2023]
Abstract
We developed a novel, sensitive, and selective platform for the specific determination of aflatoxin B1 (AFB1). Single-walled carbon nanohorns decorated by a cobalt oxide composite and gold nanoparticles were created to provide facile electron transfer and improve the sensor's sensitivity. In addition, we attributed the selectivity of the proposed sensor to the specific binding property of the anti-aflatoxin B1 antibody. We clarified the specific interaction of the proposed immunosensor to AFB1 using homology modeling combined with molecular docking. In the presence of AFB1, the current signal of the modified electrode reduced; this involved specific antibody-antigen binding, including hydrophobic hydrogen bonding and pi-pi stack interactions. The new AFB1 sensor platform showed two linearity ranges of 0.01-1 ng mL-1 and 1-100 ng mL-1, with the limit of detection at 0.0019 ng mL-1. We investigated the proposed immunosensor in real samples, including peanuts, certified reference material of a peanut sample (labeled 206 μg kg-1 AFB1), corn, and chicken feed. The sensor's accuracy was 86.1-104.4% recovery, which agrees with the reference HPLC technique using paired t-test analysis. The present work shows excellent performance for AFB1 detection and could be applied for food quality control or modified to detect other mycotoxins.
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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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Cyr MG, Wilson HD, Spierling AL, Chang J, Peng H, Steinberger P, Rader C. Concerted Antibody and Antigen Discovery by Differential Whole-cell Phage Display Selections and Multi-omic Target Deconvolution. J Mol Biol 2023; 435:168085. [PMID: 37019174 PMCID: PMC10148915 DOI: 10.1016/j.jmb.2023.168085] [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: 01/31/2023] [Revised: 03/24/2023] [Accepted: 03/28/2023] [Indexed: 04/05/2023]
Abstract
Monoclonal antibody (mAb)-based biologics are well established treatments of cancer. Antibody discovery campaigns are typically directed at a single target of interest, which inherently limits the possibility of uncovering novel antibody specificities or functionalities. Here, we present a target-unbiased approach for antibody discovery that relies on generating mAbs against native target cell surfaces via phage display. This method combines a previously reported method for improved whole-cell phage display selections with next-generation sequencing analysis to efficiently identify mAbs with the desired target cell reactivity. Applying this method to multiple myeloma cells yielded a panel of >50 mAbs with unique sequences and diverse reactivities. To uncover the identities of the cognate antigens recognized by this panel, representative mAbs from each unique reactivity cluster were used in a multi-omic target deconvolution approach. From this, we identified and validated three cell surface antigens: PTPRG, ICAM1, and CADM1. PTPRG and CADM1 remain largely unstudied in the context of multiple myeloma, which could warrant further investigation into their potential as therapeutic targets. These results highlight the utility of optimized whole-cell phage display selection methods and could motivate further interest in target-unbiased antibody discovery workflows.
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Affiliation(s)
- Matthew G Cyr
- Skaggs Graduate School of Chemical and Biological Sciences, The Scripps Research Institute, Jupiter, FL, USA; Department of Immunology and Microbiology, The Herbert Wertheim UF Scripps Institute for Biomedical Innovation & Technology, University of Florida, Jupiter, FL, USA. https://twitter.com/CyrialDilutions
| | - Henry D Wilson
- Skaggs Graduate School of Chemical and Biological Sciences, The Scripps Research Institute, Jupiter, FL, USA
| | - Anna-Lena Spierling
- Department of Immunology and Microbiology, The Herbert Wertheim UF Scripps Institute for Biomedical Innovation & Technology, University of Florida, Jupiter, FL, USA
| | - Jing Chang
- Department of Immunology and Microbiology, The Herbert Wertheim UF Scripps Institute for Biomedical Innovation & Technology, University of Florida, Jupiter, FL, USA
| | - Haiyong Peng
- Department of Immunology and Microbiology, The Herbert Wertheim UF Scripps Institute for Biomedical Innovation & Technology, University of Florida, Jupiter, FL, USA
| | - Peter Steinberger
- Institute of Immunology, Medical University of Vienna, Vienna, Austria
| | - Christoph Rader
- Skaggs Graduate School of Chemical and Biological Sciences, The Scripps Research Institute, Jupiter, FL, USA; Department of Immunology and Microbiology, The Herbert Wertheim UF Scripps Institute for Biomedical Innovation & Technology, University of Florida, Jupiter, FL, USA.
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48
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Hu S, Yang G, Chen Z, Li Q, Liu B, Liu M, Zhang D, Chang S, Kong R. Docking guided phase display to develop fusion protein with novel scFv and alkaline phosphatase for one-step ELISA salbutamol detection. Front Microbiol 2023; 14:1190793. [PMID: 37250048 PMCID: PMC10213401 DOI: 10.3389/fmicb.2023.1190793] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Accepted: 04/13/2023] [Indexed: 05/31/2023] Open
Abstract
Introduction Salbutamol (SAL) is a β2 adrenergic receptor agonist which has potential hazardous effects for human health. It is very important to establish a sensitive and convenient method to monitor SAL. Methods Here we introduce a method to combine the information from docking and site specific phage display, with the aim to obtain scFv with high affinity to SAL. First, single chain variable fragment (scFv) antibodies against SAL were generated through phage display. By using molecular docking approach, the complex structure of SAL with antibody was predicted and indicated that H3 and L3 contribute to the binding. Then new libraries were created by randomization specific residues located on H3 and L3 according to the docking results. Results and discussion Anti-SAL scFv antibodies with high efficiency were finally identified. In addition, the selected scFv was fused with alkaline phosphatase and expressed in E coli to develop a rapid and low-cost one step ELISA to detect SAL.
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Affiliation(s)
- Shuai Hu
- Institute of Bioinformatics and Medical Engineering, School of Electrical and Information Engineering, School of Chemical and Environmental Engineering, Jiangsu University of Technology, Changzhou, China
| | - Guangbo Yang
- Institute of Bioinformatics and Medical Engineering, School of Electrical and Information Engineering, School of Chemical and Environmental Engineering, Jiangsu University of Technology, Changzhou, China
| | - Zhou Chen
- Institute of Bioinformatics and Medical Engineering, School of Electrical and Information Engineering, School of Chemical and Environmental Engineering, Jiangsu University of Technology, Changzhou, China
| | - Qiuye Li
- Institute of Bioinformatics and Medical Engineering, School of Electrical and Information Engineering, School of Chemical and Environmental Engineering, Jiangsu University of Technology, Changzhou, China
| | - Bin Liu
- Beijing New BioConcepts Biotech Co., Ltd., Beijing, China
| | - Ming Liu
- Beijing New BioConcepts Biotech Co., Ltd., Beijing, China
| | - Dawei Zhang
- Institute of Bioinformatics and Medical Engineering, School of Electrical and Information Engineering, School of Chemical and Environmental Engineering, Jiangsu University of Technology, Changzhou, China
| | - Shan Chang
- Institute of Bioinformatics and Medical Engineering, School of Electrical and Information Engineering, School of Chemical and Environmental Engineering, Jiangsu University of Technology, Changzhou, China
| | - Ren Kong
- Institute of Bioinformatics and Medical Engineering, School of Electrical and Information Engineering, School of Chemical and Environmental Engineering, Jiangsu University of Technology, Changzhou, China
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49
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Friman V, Quinti I, Davydov AN, Shugay M, Farroni C, Engström E, Pour Akaber S, Barresi S, Mohamed A, Pulvirenti F, Milito C, Granata G, Giorda E, Ahlström S, Karlsson J, Marasco E, Marcellini V, Bocci C, Cascioli S, Scarsella M, Phad G, Tilevik A, Tartaglia M, Bemark M, Chudakov DM, Carsetti R, Grimsholm O. Defective peripheral B cell selection in common variable immune deficiency patients with autoimmune manifestations. Cell Rep 2023; 42:112446. [PMID: 37119135 DOI: 10.1016/j.celrep.2023.112446] [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: 10/28/2020] [Revised: 03/15/2023] [Accepted: 04/13/2023] [Indexed: 04/30/2023] Open
Abstract
Common variable immune deficiency (CVID) is a heterogeneous disorder characterized by recurrent infections, low levels of serum immunoglobulins, and impaired vaccine responses. Autoimmune manifestations are common, but B cell central and peripheral selection mechanisms in CVID are incompletely understood. Here, we find that receptor editing, a measure of central tolerance, is increased in transitional B cells from CVID patients and that these cells have a higher immunoglobulin κ:λ ratio in CVID patients with autoimmune manifestations than in those with infection only. Contrariwise, the selection pressure in the germinal center on CD27bright memory B cells is decreased in CVID patients with autoimmune manifestations. Finally, functionally, T cell-dependent activation showed that naive B cells in CVID patients are badly equipped for activation and induction of mismatch repair genes. We conclude that central tolerance is functional whereas peripheral selection is defective in CVID patients with autoimmune manifestations, which could underpin the development of autoimmunity.
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Affiliation(s)
- Vanda Friman
- Department of Infectious Diseases, Institute of Biomedicine, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Isabella Quinti
- Department of Molecular Medicine, Sapienza University of Rome, Rome, Italy
| | | | - Mikhail Shugay
- Center of Life Sciences, Skolkovo Institute of Science and Technology, Moscow, Russia; Shemyakin and Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia; Institute of Translational Medicine, Pirogov Russian National Research Medical University, Moscow, Russia
| | - Chiara Farroni
- Translational Research Unit, National Institute for Infectious Diseases Lazzaro Spallanzani (IRCCS), Rome, Italy; B Cell Pathophysiology Unit, Immunology Research Area, Ospedale Pediatrico Bambino Gesù IRCCS, Rome, Italy
| | - Erik Engström
- Department of Rheumatology and Inflammation Research, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Shirin Pour Akaber
- Institute of Pathophysiology and Allergy Research, Centre for Pathophysiology, Infectiology, and Immunology, Medical University of Vienna, Vienna, Austria
| | - Sabina Barresi
- Genetics and Rare Diseases Research Division, Ospedale Pediatrico Bambino Gesù IRCCS, Rome, Italy
| | - Ahmed Mohamed
- Department of Rheumatology and Inflammation Research, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden; Faculty of Health Sciences, A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland
| | - Federica Pulvirenti
- Centre for Primary Immune Deficiency, AUO Policlinico Umberto I, Rome, Italy
| | - Cinzia Milito
- Department of Molecular Medicine, Sapienza University of Rome, Rome, Italy
| | - Guido Granata
- Clinical and Research Department for Infectious Diseases, National Institute for Infectious Diseases L. Spallanzani (IRCCS), 00149 Rome, Italy
| | - Ezio Giorda
- Research Laboratories, Ospedale Pediatrico Bambino Gesù, IRCCS, Rome, Italy
| | - Sara Ahlström
- Department of Infectious Diseases, Institute of Biomedicine, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Johanna Karlsson
- Department of Infectious Diseases, Institute of Biomedicine, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Emiliano Marasco
- Division of Rheumatology, Ospedale Pediatrico Bambino Gesù, IRCCS, Rome, Italy
| | | | - Chiara Bocci
- B Cell Pathophysiology Unit, Immunology Research Area, Ospedale Pediatrico Bambino Gesù IRCCS, Rome, Italy
| | - Simona Cascioli
- Research Laboratories, Ospedale Pediatrico Bambino Gesù, IRCCS, Rome, Italy
| | - Marco Scarsella
- Research Laboratories, Ospedale Pediatrico Bambino Gesù, IRCCS, Rome, Italy
| | - Ganesh Phad
- Institute for Research in Biomedicine (IRB), Università della Svizzera Italiana (USI), Bellinzona, Switzerland
| | | | - Marco Tartaglia
- Genetics and Rare Diseases Research Division, Ospedale Pediatrico Bambino Gesù IRCCS, Rome, Italy
| | - Mats Bemark
- Department of Microbiology and Immunology, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden; Department of Clinical Immunology and Transfusion Medicine, Region Västra Götaland, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Dmitriy M Chudakov
- Center of Life Sciences, Skolkovo Institute of Science and Technology, Moscow, Russia; Shemyakin and Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia; Institute of Translational Medicine, Pirogov Russian National Research Medical University, Moscow, Russia; Central European Institute of Technology, Brno, Czech Republic
| | - Rita Carsetti
- B Cell Pathophysiology Unit, Immunology Research Area, Ospedale Pediatrico Bambino Gesù IRCCS, Rome, Italy; Unit of Diagnostic Immunology, Department of Laboratories, Ospedale Pediatrico Bambino Gesù, IRCCS, Rome, Italy
| | - Ola Grimsholm
- Institute of Pathophysiology and Allergy Research, Centre for Pathophysiology, Infectiology, and Immunology, Medical University of Vienna, Vienna, Austria; Department of Rheumatology and Inflammation Research, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden; B Cell Pathophysiology Unit, Immunology Research Area, Ospedale Pediatrico Bambino Gesù IRCCS, Rome, Italy.
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50
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Shrock EL, Timms RT, Kula T, Mena EL, West AP, Guo R, Lee IH, Cohen AA, McKay LGA, Bi C, Keerti, Leng Y, Fujimura E, Horns F, Li M, Wesemann DR, Griffiths A, Gewurz BE, Bjorkman PJ, Elledge SJ. Germline-encoded amino acid-binding motifs drive immunodominant public antibody responses. Science 2023; 380:eadc9498. [PMID: 37023193 PMCID: PMC10273302 DOI: 10.1126/science.adc9498] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Accepted: 03/03/2023] [Indexed: 04/08/2023]
Abstract
Despite the vast diversity of the antibody repertoire, infected individuals often mount antibody responses to precisely the same epitopes within antigens. The immunological mechanisms underpinning this phenomenon remain unknown. By mapping 376 immunodominant "public epitopes" at high resolution and characterizing several of their cognate antibodies, we concluded that germline-encoded sequences in antibodies drive recurrent recognition. Systematic analysis of antibody-antigen structures uncovered 18 human and 21 partially overlapping mouse germline-encoded amino acid-binding (GRAB) motifs within heavy and light V gene segments that in case studies proved critical for public epitope recognition. GRAB motifs represent a fundamental component of the immune system's architecture that promotes recognition of pathogens and leads to species-specific public antibody responses that can exert selective pressure on pathogens.
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Affiliation(s)
- Ellen L. Shrock
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
- Division of Genetics, Department of Medicine, Howard Hughes Medical Institute, Brigham and Women’s Hospital, Boston, MA 02115, USA
- Program in Biological and Biomedical Sciences, Harvard University, Boston, MA 02115, USA
| | - Richard T. Timms
- Cambridge Institute of Therapeutic Immunology and Infectious Disease, Jeffrey Cheah Biomedical Centre, Cambridge Biomedical Campus, University of Cambridge, Cambridge, UK
| | - Tomasz Kula
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
- Division of Genetics, Department of Medicine, Howard Hughes Medical Institute, Brigham and Women’s Hospital, Boston, MA 02115, USA
- Program in Biological and Biomedical Sciences, Harvard University, Boston, MA 02115, USA
- Present address: Society of Fellows, Harvard University, Cambridge, MA 02138, USA
| | - Elijah L. Mena
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
- Division of Genetics, Department of Medicine, Howard Hughes Medical Institute, Brigham and Women’s Hospital, Boston, MA 02115, USA
| | - Anthony P. West
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA
| | - Rui Guo
- Division of Infectious Disease, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
- Department of Microbiology, Harvard Medical School, Boston, MA 02115, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, 02142, USA
| | - I-Hsiu Lee
- Center for Systems Biology, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Alexander A. Cohen
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA
| | - Lindsay G. A. McKay
- National Emerging Infectious Diseases Laboratories, Boston University School of Medicine, Boston University, Boston, MA 02118, USA
| | - Caihong Bi
- Division of Allergy and Immunology, Division of Genetics, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
- Massachusetts Consortium on Pathogen Readiness, Boston, MA 02115, USA
| | - Keerti
- Division of Allergy and Immunology, Division of Genetics, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
- Massachusetts Consortium on Pathogen Readiness, Boston, MA 02115, USA
| | - Yumei Leng
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
- Division of Genetics, Department of Medicine, Howard Hughes Medical Institute, Brigham and Women’s Hospital, Boston, MA 02115, USA
| | - Eric Fujimura
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
- Division of Genetics, Department of Medicine, Howard Hughes Medical Institute, Brigham and Women’s Hospital, Boston, MA 02115, USA
| | - Felix Horns
- Department of Bioengineering, Department of Applied Physics, Chan Zuckerberg Biohub and Stanford University, Stanford, CA 94305, USA
| | - Mamie Li
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
- Division of Genetics, Department of Medicine, Howard Hughes Medical Institute, Brigham and Women’s Hospital, Boston, MA 02115, USA
| | - Duane R. Wesemann
- Broad Institute of Harvard and MIT, Cambridge, MA, 02142, USA
- Division of Allergy and Immunology, Division of Genetics, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
- Massachusetts Consortium on Pathogen Readiness, Boston, MA 02115, USA
- Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA, 02139 USA
| | - Anthony Griffiths
- National Emerging Infectious Diseases Laboratories, Boston University School of Medicine, Boston University, Boston, MA 02118, USA
| | - Benjamin E. Gewurz
- Division of Infectious Disease, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
- Department of Microbiology, Harvard Medical School, Boston, MA 02115, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, 02142, USA
- Graduate Program in Virology, Division of Medical Sciences, Harvard Medical School, Boston, MA 02115, USA
| | - Pamela J. Bjorkman
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA
| | - Stephen J. Elledge
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
- Division of Genetics, Department of Medicine, Howard Hughes Medical Institute, Brigham and Women’s Hospital, Boston, MA 02115, USA
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