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Sup ME, Abraham AC, Kim MKM, Thomopoulos S. Development of a Mouse Model of Enthesis-Specific NF-κB Activation. J Orthop Res 2025; 43:719-727. [PMID: 39789822 PMCID: PMC11903135 DOI: 10.1002/jor.26035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2024] [Revised: 12/09/2024] [Accepted: 12/11/2024] [Indexed: 01/12/2025]
Abstract
Enthesitis, or inflammation specific to sites in the body where tendon inserts into bone, can arise in isolated joints from overuse or in multiple joints as a complication of an autoimmune condition such as psoriatic arthritis or spondyloarthritis. However, the pathogenesis of enthesitis is not well understood, so treatment strategies are limited. A clinically relevant animal model of enthesitis would allow investigators to determine mechanisms driving the disease and evaluate novel therapies. Therefore, we developed a murine model of inducible enthesis-specific inflammation by constitutively activating the NF-κB pathway in Gli1+ cells. Gli1CreERT mice were crossed with IKKβ-overexpression mice and given tamoxifen injections 5 days postnatally to induce enthesitis. Sixteen weeks of IKKβ overexpression in enthesis cells led to impaired mechanical properties, subtle histologic changes, and changes to expression of extracellular matrix- and inflammation-related genes. Increased loading from treadmill overuse activity did not exacerbate this phenotype. Clinical significance: The new murine model may have utility for studying the pathogenesis of enthesitis and approaches to treat the condition.
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Affiliation(s)
- McKenzie E. Sup
- Department of Biomedical Engineering, Columbia University, New York, New York, USA
| | - Adam C. Abraham
- Department of Orthopaedic Surgery, University of Michigan, Ann Arbor, Michigan, USA
| | - Min Kyu M. Kim
- Department of Orthopaedic Surgery, Columbia University, New York, New York, USA
| | - Stavros Thomopoulos
- Department of Biomedical Engineering, Columbia University, New York, New York, USA
- Department of Orthopaedic Surgery, Columbia University, New York, New York, USA
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Qiu Y, Jiang J, Yi X, Wang S, Sun X. Exploration of the differential expression patterns of immunoglobulin heavy chain genes in horses and donkeys. DEVELOPMENTAL AND COMPARATIVE IMMUNOLOGY 2025; 166:105360. [PMID: 40112937 DOI: 10.1016/j.dci.2025.105360] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/05/2024] [Revised: 02/23/2025] [Accepted: 03/14/2025] [Indexed: 03/22/2025]
Abstract
This study investigated the immunoglobulins (IG) gene locus structure and expression diversity in local Chinese horse and donkey breeds, including Ningqiang, Guanzhong horses, and varieties such as Guanzhong, Jiami, and Northern Shaanxi donkey using genome alignment and high-throughput sequencing. The aim was to expand understanding of IG expression patterns in horses, donkeys, and their different breeds. The results revealed that the donkey IGH locus contains 117 VH genes (23 functional), 44 DH genes, and 8 JH genes, arranged in a VH-DH-JH sequence on chromosome 7, spanning approximately 1189 kb. Both horses and donkeys exhibited high frequencies of the IGHV4-IGHD2-IGHJ6, IGHV4-IGHD4-IGHJ6, and IGHV4-IGHD2-IGHJ4 combinations during VDJ recombination. Significant differences in V, D, and J junctions between horses and donkeys, as well as among breeds, were observed, mainly due to variations in N-nucleotide insertion length. The CDR3H region in horses exhibited greater length diversity and a higher Cys content than that in donkeys, which may contribute to species-specific differences in IGH spatial structure. Both horses and donkeys showed a clear preference for A > G and G > A mutations during somatic hypermutation (SHM), with consistent trends across breeds and species. In conclusion, this study reveals that V(D)J recombination, junction diversity, and SHM are key mechanisms driving IGH diversity in horses and donkeys. While the basic mechanisms for IGH diversification are similar across species and breeds, their specific manifestations exhibit both distinct and consistent patterns, reflecting differences in immune system adaptations and providing a theoretical basis for understanding IGH expression diversity in equids.
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Affiliation(s)
- Yanbo Qiu
- College of Grassland Agriculture, Northwest A&F University, Yangling, China.
| | - Junyi Jiang
- College of Animal Science and Technology, Northwest A&F University, Yangling, China.
| | - Xiaohua Yi
- College of Animal Science and Technology, Northwest A&F University, Yangling, China.
| | - Shuhui Wang
- College of Animal Science and Technology, Northwest A&F University, Yangling, China.
| | - Xiuzhu Sun
- College of Grassland Agriculture, Northwest A&F University, Yangling, China.
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Wong K, Subramanian I, Stevens E, Chakraborty S. Unveiling Interaction Signatures Across Viral Pathogens through VASCO: Viral Antigen-Antibody Structural COmplex dataset. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2025:2025.03.11.642737. [PMID: 40161627 PMCID: PMC11952437 DOI: 10.1101/2025.03.11.642737] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 04/02/2025]
Abstract
Viral antigen-antibody (Ag-Ab) interactions shape immune responses, drive pathogen neutralization, and inform vaccine strategies. Understanding their structural basis is crucial for predicting immune recognition, optimizing immunogen design to induce broadly neutralizing antibodies (bnAbs), and developing antiviral therapeutics. However, curated structural benchmarks for viral Ag-Ab interactions remain scarce. To address this, we present VASCO (Viral Antibody-antigen Structural COmplex dataset), a high-resolution, non-redundant collection of ~1225 viral Ag-Ab complexes sourced from the Protein Data Bank (PDB) and refined via energy minimization. Spanning Coronaviruses, Influenza, Ebola, HIV, and others, VASCO provides a comprehensive structural reference for viral immune recognition. By comparing VASCO against general protein-protein interactions (GPPI), we identify distinct sequence and structural features that define viral Ag-Ab binding. While conventional descriptors show broad similarities across datasets, deeper analyses reveal key sequence-space interactions, secondary structure preferences, and manifold-derived latent features that distinguish viral complexes. These insights highlight the limitations of GPPI-trained predictive models and the need for specialized computational frameworks. VASCO serves as a critical resource for advancing viral immunology, improving predictive modeling, and guiding immunogen design to elicit protective antibody responses. By bridging sequence and structural immunological datasets, VASCO should enable better docking, affinity prediction, and antiviral therapeutic development-key to pandemic preparedness and emerging pathogen response.
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Affiliation(s)
- Kenny Wong
- Department of Chemical Engineering, Northeastern University, Boston, MA
| | | | - Emma Stevens
- Department of Chemistry and Chemical Biology, Northeastern University, Boston, MA
| | - Srirupa Chakraborty
- Department of Chemical Engineering, Northeastern University, Boston, MA
- Department of Chemistry and Chemical Biology, Northeastern University, Boston, MA
- Department of Physics, Northeastern University, Boston, MA
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Jana U, Rodriguez OL, Lees W, Engelbrecht E, Vanwinkle Z, Peres A, Gibson WS, Shields K, Schultze S, Dorgham A, Emery M, Deikus G, Sebra R, Eichler EE, Yaari G, Smith ML, Watson CT. The human immunoglobulin heavy chain constant gene locus is enriched for large complex structural variants and coding polymorphisms that vary in frequency among human populations. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2025:2025.02.12.634878. [PMID: 39990387 PMCID: PMC11844466 DOI: 10.1101/2025.02.12.634878] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/25/2025]
Abstract
The immunoglobulin heavy chain constant (IGHC) domain of antibodies (Ab) is responsible for effector functions critical to Ab mediated immunity. In humans, this domain is encoded by genes within the IGHC locus, where descriptions of genomic diversity remain incomplete. To address this, we utilized long-read genomic datasets to build a high-quality IGHC haplotype/variant catalog from 105 individuals of diverse ancestry, and developed a high-throughput approach for targeted long-read IGHC locus sequencing and assembly. From locally phased assemblies, we discovered previously uncharacterized single nucleotide variants (SNV) and complex structural variants (SVs, n=7), as well as novel genes and alleles. Of the 262 identified IGHC coding alleles, 235 (89.6%) were undocumented. SNV, SV, and gene allele/genotype frequencies revealed significant population differentiation, including; (i) hundreds of SNVs in African and East Asian populations exceeding fixation index (FST) of 0.3, (ii) and an IGHG4 haplotype carrying specific coding variants uniquely enriched in East and South Asian populations. Our results illuminate missing signatures of haplotype diversity in the IGHC locus, including evidence of natural selection, and establish a new foundation for investigating IGHC germline variation and its role in Ab function and disease.
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Affiliation(s)
- Uddalok Jana
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, USA
| | - Oscar L. Rodriguez
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, USA
| | - William Lees
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, USA
- Bioengineering Program, Faculty of Engineering, Bar-Ilan University, Ramat Gan, 5290002, Israel
| | - Eric Engelbrecht
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, USA
| | - Zach Vanwinkle
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, USA
| | - Ayelet Peres
- Bioengineering Program, Faculty of Engineering, Bar-Ilan University, Ramat Gan, 5290002, Israel
| | - William S. Gibson
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, USA
- Vaccine Research Center, National Institute of Allergy and Infectious Disease, National Institute of Health, Bethesda, MD
| | - Kaitlyn Shields
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, USA
| | - Steven Schultze
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, USA
| | - Abdullah Dorgham
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, USA
| | - Matthew Emery
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Gintaras Deikus
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Robert Sebra
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Evan E. Eichler
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
- Howard Hughes Medical Institute, University of Washington, Seattle, WA, USA
| | - Gur Yaari
- Bioengineering Program, Faculty of Engineering, Bar-Ilan University, Ramat Gan, 5290002, Israel
| | - Melissa L. Smith
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, USA
| | - Corey T. Watson
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, USA
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Morgan GJ, Nau AN, Wong S, Spencer BH, Shen Y, Hua A, Bullard MJ, Sanchorawala V, Prokaeva T. An updated AL-base reveals ranked enrichment of immunoglobulin light chain variable genes in AL amyloidosis. Amyloid 2024:1-10. [PMID: 39641756 DOI: 10.1080/13506129.2024.2434899] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2024] [Revised: 11/01/2024] [Accepted: 11/22/2024] [Indexed: 12/07/2024]
Abstract
BACKGROUND Each monoclonal antibody light chain associated with AL amyloidosis has a unique sequence. Defining how these sequences drive amyloid deposition could facilitate faster diagnosis and lead to new treatments. METHODS Light chain sequences are collected in the AL-Base repository. Monoclonal sequences from AL amyloidosis, multiple myeloma and the healthy polyclonal immune repertoire were compared to identify differences in precursor gene use, mutation frequency and physicochemical properties. RESULTS AL-Base now contains 2,200 monoclonal light chain sequences from AL amyloidosis and other plasma cell dyscrasias. Sixteen germline precursor genes were enriched in AL amyloidosis, relative to multiple myeloma and the polyclonal repertoire. Two genes, IGKV1-16 and IGLV1-36, were infrequently observed but highly enriched in AL amyloidosis. The number of mutations varied widely between light chains. AL-associated κ light chains harboured significantly more mutations compared to multiple myeloma and polyclonal sequences, whereas AL-associated λ light chains had fewer mutations. Machine learning tools designed to predict amyloid propensity were less accurate for new sequences than their original training data. CONCLUSIONS Rarely-observed light chain variable genes may carry a high risk of AL amyloidosis. New approaches are needed to define sequence-associated risk factors for AL amyloidosis. AL-Base is a foundational resource for such studies.
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Affiliation(s)
- Gareth J Morgan
- Boston University Amyloidosis Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Section of Hematology and Medical Oncology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Allison N Nau
- Boston University Amyloidosis Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Sherry Wong
- Boston University Amyloidosis Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Brian H Spencer
- Boston University Amyloidosis Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Yun Shen
- Boston University Research Computing Services, Boston, MA, USA
| | - Axin Hua
- Biostatistics and Epidemiology Data Analytics Center, Boston University School of Public Health, Boston, MA, USA
| | - Matthew J Bullard
- Biostatistics and Epidemiology Data Analytics Center, Boston University School of Public Health, Boston, MA, USA
| | - Vaishali Sanchorawala
- Boston University Amyloidosis Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Section of Hematology and Medical Oncology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Tatiana Prokaeva
- Boston University Amyloidosis Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Pathology and Laboratory Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
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Tang W, Zheng K, Sun S, Zhong B, Luo Z, Yang J, Jia L, Yang L, Shang W, Jiang X, Lyu Z, Chen J, Chen G. Characteristics and Genomic Localization of Nurse Shark ( Ginglymostoma cirratum) IgNAR. Int J Mol Sci 2024; 25:12879. [PMID: 39684588 DOI: 10.3390/ijms252312879] [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: 09/24/2024] [Revised: 11/11/2024] [Accepted: 11/13/2024] [Indexed: 12/18/2024] Open
Abstract
The variable domain of IgNAR shows great potential in biological medicine and therapy. IgNAR has been discovered in sharks and rays, with the nurse shark (Ginglymostoma cirratum) IgNARs being the most extensively studied among sharks. Despite being identified in nurse sharks over 30 years ago, the characteristics and genomic localization of IgNAR remain poorly defined, with significant gaps even in the latest released genome data. In our research, we localized the IgNAR loci in the nurse shark genome and resolved the previously missing regions. We identified three IgNAR loci, designated GcIgNAR1, GcIgNAR2, and GcIgNAR3, with only GcIgNAR1 and GcIgNAR2 being expressed. GcIgNAR1 and GcIgNAR2 belong to type I and type II IgNARs, respectively, and each exhibits several different isoforms. Most nurse shark IgNARs possess five constant domains. However, we found transcripts of GcIgNAR1 and GcIgNAR2 lacking two constant domains, C4 and C5, which differ from the IgNAR of the whitespotted bamboo shark. The protein structures of GcIgNAR1 and GcIgNAR2, generated by AlphaFold3, confirmed the accuracy of the IgNAR loci we identified. Our findings advance scientific understanding of IgNAR in nurse sharks and facilitate future research and medical applications.
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Affiliation(s)
- Wenjie Tang
- School of Life Sciences, Central South University, Changsha 410031, China
- College of Life Sciences and Medicine, Zhejiang Provincial Key Laboratory of Silkworm Bioreactor and Biomedicine, Zhejiang Sci-Tech University, Hangzhou 310018, China
| | - Kaixi Zheng
- School of Life Sciences, Central South University, Changsha 410031, China
- College of Life Sciences and Medicine, Zhejiang Provincial Key Laboratory of Silkworm Bioreactor and Biomedicine, Zhejiang Sci-Tech University, Hangzhou 310018, China
| | - Shengjie Sun
- School of Life Sciences, Central South University, Changsha 410031, China
| | - Bo Zhong
- School of Life Sciences, Central South University, Changsha 410031, China
- College of Life Sciences and Medicine, Zhejiang Provincial Key Laboratory of Silkworm Bioreactor and Biomedicine, Zhejiang Sci-Tech University, Hangzhou 310018, China
| | - Zhan Luo
- College of Life Sciences and Medicine, Zhejiang Provincial Key Laboratory of Silkworm Bioreactor and Biomedicine, Zhejiang Sci-Tech University, Hangzhou 310018, China
| | - Junjie Yang
- College of Life Sciences and Medicine, Zhejiang Provincial Key Laboratory of Silkworm Bioreactor and Biomedicine, Zhejiang Sci-Tech University, Hangzhou 310018, China
| | - Lei Jia
- College of Life Sciences and Medicine, Zhejiang Provincial Key Laboratory of Silkworm Bioreactor and Biomedicine, Zhejiang Sci-Tech University, Hangzhou 310018, China
| | - Lan Yang
- College of Life Sciences and Medicine, Zhejiang Provincial Key Laboratory of Silkworm Bioreactor and Biomedicine, Zhejiang Sci-Tech University, Hangzhou 310018, China
| | - Wenna Shang
- College of Life Sciences and Medicine, Zhejiang Provincial Key Laboratory of Silkworm Bioreactor and Biomedicine, Zhejiang Sci-Tech University, Hangzhou 310018, China
| | - Xiaofeng Jiang
- College of Life Sciences and Medicine, Zhejiang Provincial Key Laboratory of Silkworm Bioreactor and Biomedicine, Zhejiang Sci-Tech University, Hangzhou 310018, China
| | - Zhengbing Lyu
- College of Life Sciences and Medicine, Zhejiang Provincial Key Laboratory of Silkworm Bioreactor and Biomedicine, Zhejiang Sci-Tech University, Hangzhou 310018, China
- Zhejiang Sci-Tech University Shaoxing Academy of Biomedicine Co., Ltd., Shaoxing 312369, China
| | - Jianqing Chen
- College of Life Sciences and Medicine, Zhejiang Provincial Key Laboratory of Silkworm Bioreactor and Biomedicine, Zhejiang Sci-Tech University, Hangzhou 310018, China
- Zhejiang Sci-Tech University Shaoxing Academy of Biomedicine Co., Ltd., Shaoxing 312369, China
| | - Guodong Chen
- School of Life Sciences, Central South University, Changsha 410031, China
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Morgan GJ, Yung Z, Spencer BH, Sanchorawala V, Prokaeva T. Predicting Structural Consequences of Antibody Light Chain N-Glycosylation in AL Amyloidosis. Pharmaceuticals (Basel) 2024; 17:1542. [PMID: 39598451 PMCID: PMC11597191 DOI: 10.3390/ph17111542] [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: 10/17/2024] [Revised: 11/08/2024] [Accepted: 11/14/2024] [Indexed: 11/29/2024] Open
Abstract
Background/Objectives: Antibody light chains form amyloid fibrils that lead to progressive tissue damage in amyloid light chain (AL) amyloidosis. The properties of each patient's unique light chain appear to determine its propensity to form amyloid. One factor is N-glycosylation, which is more frequent in amyloid-associated light chains than in light chains from the normal immune repertoire. However, the mechanisms underlying this association are unknown. Here, we investigate the frequency and position within the light chain sequence of the N-glycosylation sequence motif, or sequon. Methods: Monoclonal light chains from AL amyloidosis and multiple myeloma were identified from the AL-Base repository. Polyclonal light chains were obtained from the Observed Antibody Space resource. We compared the fraction of light chains from each group harboring an N-glycosylation sequon, and the positions of these sequons within the sequences. Results: Sequons are enriched among AL-associated light chains derived from a subset of precursor germline genes. Sequons are observed at multiple positions, which differ between the two types of light chains, κ and λ, but are similar between light chains from AL amyloidosis and multiple myeloma. Positions of sequons map to residues with surface-exposed sidechains that are compatible with the folded structures of light chains. Within the known structures of λ AL amyloid fibrils, many residues where sequons are observed are buried, inconsistent with N-glycosylation. Conclusions: There is no clear structural rationale for why N-glycosylation of κ light chains is associated with AL amyloidosis. A better understanding of the roles of N-glycosylation in AL amyloidosis is required before it can be used as a marker for disease risk.
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Affiliation(s)
- Gareth J. Morgan
- Boston University Amyloidosis Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA
- Section of Hematology and Medical Oncology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA
| | - Zach Yung
- Boston University Amyloidosis Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA
| | - Brian H. Spencer
- Boston University Amyloidosis Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA
| | - Vaishali Sanchorawala
- Boston University Amyloidosis Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA
- Section of Hematology and Medical Oncology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA
| | - Tatiana Prokaeva
- Boston University Amyloidosis Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA
- Department of Pathology and Laboratory Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA
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Reddy DJ, Guntuku G, Palla MS. Advancements in nanobody generation: Integrating conventional, in silico, and machine learning approaches. Biotechnol Bioeng 2024; 121:3375-3388. [PMID: 39054738 DOI: 10.1002/bit.28816] [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: 05/09/2024] [Revised: 07/08/2024] [Accepted: 07/13/2024] [Indexed: 07/27/2024]
Abstract
Nanobodies, derived from camelids and sharks, offer compact, single-variable heavy-chain antibodies with diverse biomedical potential. This review explores their generation methods, including display techniques on phages, yeast, or bacteria, and computational methodologies. Integrating experimental and computational approaches enhances understanding of nanobody structure and function. Future trends involve leveraging next-generation sequencing, machine learning, and artificial intelligence for efficient candidate selection and predictive modeling. The convergence of traditional and computational methods promises revolutionary advancements in precision biomedical applications such as targeted drug delivery and diagnostics. Embracing these technologies accelerates nanobody development, driving transformative breakthroughs in biomedicine and paving the way for precision medicine and biomedical innovation.
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Affiliation(s)
- D Jagadeeswara Reddy
- Pharmaceutical Biotechnology Division, A.U. College of Pharmaceutical Sciences, Andhra University, Visakhapatnam, India
| | - Girijasankar Guntuku
- Pharmaceutical Biotechnology Division, A.U. College of Pharmaceutical Sciences, Andhra University, Visakhapatnam, India
| | - Mary Sulakshana Palla
- GITAM School of Pharmacy, GITAM Deemed to be University, Rushikonda, Visakhapatnam, India
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9
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Lefranc M, Lefranc G. Using IMGT unique numbering for IG allotypes and Fc-engineered variants of effector properties and half-life of therapeutic antibodies. Immunol Rev 2024; 328:473-506. [PMID: 39367563 PMCID: PMC11659927 DOI: 10.1111/imr.13399] [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: 10/06/2024]
Abstract
Therapeutic monoclonal antibodies (mAb) are usually of the IgG1, IgG2, and IgG4 classes, and their heavy chains may be modified by amino acid (aa) changes involved in antibody-dependent cellular cytotoxicity (ADCC), antibody-dependent cellular phagocytosis (ADCP), complement-dependent cytotoxicity (CDC), and/or half-life. Allotypes and Fc-engineered variants are classified using IMGT/HGNC gene nomenclature (e.g., Homo sapiens IGHG1). Allotype names follow the WHO/IMGT nomenclature. IMGT-engineered variant names use the IMGT nomenclature (e.g., Homsap G1v1), which comprises species and gene name (both abbreviated) followed by the letter v (for variant) and a number. Both allotypes and engineered variants are defined by their aa changes and positions, based on the IMGT unique numbering for C domain, identified in sequence motifs, referred to as IMGT topological motifs, as their limits and length are standardized and correspond to a structural feature (e.g., strand or loop). One hundred twenty-six variants are displayed with their type, IMGT numbering, Eu-IMGT positions, motifs before and after changes, and their property and function (effector and half-life). Three motifs characterize effector variants, CH2 1.6-3, 23-BC-41, and the FG loop, whereas three different motifs characterize half-life variants, two on CH2 13-AB-18 and 89-96 with H93, and one on CH3 the FG loop with H115.
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Affiliation(s)
- Marie‐Paule Lefranc
- IMGT®, the international ImMunoGeneTics information system® (IMGT), Laboratoire d'ImmunoGénétique Moléculaire (LIGM), Institut de Génétique Humaine (IGH), UMR 9002 Centre National de la Recherche Scientifique (CNRS)Université de Montpellier (UM)Montpellier Cedex 5France
| | - Gérard Lefranc
- IMGT®, the international ImMunoGeneTics information system® (IMGT), Laboratoire d'ImmunoGénétique Moléculaire (LIGM), Institut de Génétique Humaine (IGH), UMR 9002 Centre National de la Recherche Scientifique (CNRS)Université de Montpellier (UM)Montpellier Cedex 5France
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10
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Wu C, Jiang S, Chen Z, Li T, Gu X, Dai M, Du F, Ye Y, Tang L, Wang M, Wang X, Li T, Ye S, Bao C, Zhang X, Fu Q. Single-cell transcriptomics reveal potent extrafollicular B cell response linked with granzyme K + CD8 T cell activation in lupus kidney. Ann Rheum Dis 2024:ard-2024-225876. [PMID: 39419536 DOI: 10.1136/ard-2024-225876] [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: 03/27/2024] [Accepted: 09/25/2024] [Indexed: 10/19/2024]
Abstract
OBJECTIVES B and T cells constitute the majority of infiltrating lymphocytes in the kidney and represent the local perpetrators in lupus nephritis (LN), but the underlying pathogenic mechanisms are not well elucidated. The aim of this study is to explore the kidney-specific adaptive immune landscape in patients with active LN at the single-cell level. METHODS We performed single-cell RNA/B cell receptor (BCR)/T cell receptor (TCR) sequencing analysis on sorting-purified B and T cells from the kidney and paired peripheral blood of patients with active LN, and the periphery of matched controls. Flow cytometry, Assay for Transposase Accessible-sequencing, multiplexed immunohistochemistry and functional studies were performed to validate the transcriptomic results. RESULTS High infiltrations of intrarenal atypical B cells (ABCs) and antibody-secreting cells (ASCs) were identified in the B cell compartment. The single-cell BCR repertoire analysis revealed strong clonal expansion of intrarenal ASCs dominated by IGHG1 and IGHG3 isotypes, accompanied by lower frequencies of heavy-chain and light-chain somatic mutations, compared with the peripheral ASCs. Notably, a unique expansion of IGHG4-59 and clonal overlap between ABCs and ASCs was found in kidney-specific clonotypes. In the T cell compartment, we identified granzyme K (GZMK)+ CD8 T cells as the dominant kidney-associated T cells which shared inflammation- and stress-related gene pathways with ABCs. Intrarenal GZMK+ CD8 T cells highly expressed IFNG and displayed strong communication with ABCs via the type II interferon (IFN) pathway. Intrarenal GZMK+ CD8 T cells and ABCs were largely co-localised within the tertiary lymphoid structure, and GZMK+ CD8 T cells potentially contributed to the differentiation of ABCs via IFN-γ and interleukin-21. CONCLUSIONS Our study revealed a potent extrafollicular B cell response linked with overactivation of GZMK+ CD8 T cells in the kidney of patients with LN, which may lead to innovative treatments for LN.
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Affiliation(s)
- Chunmei Wu
- Department of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Key Laboratory of Immune Response and Immunotherapy, Shanghai Institute of Immunity and Infection, Chinese Academy of Sciences, Shanghai, China
| | - Shan Jiang
- Key Laboratory of Immune Response and Immunotherapy, Shanghai Institute of Immunity and Infection, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Zechuan Chen
- Key Laboratory of Immune Response and Immunotherapy, Shanghai Institute of Immunity and Infection, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Teng Li
- Key Laboratory of Immune Response and Immunotherapy, Shanghai Institute of Immunity and Infection, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Xixi Gu
- Key Laboratory of Immune Response and Immunotherapy, Shanghai Institute of Immunity and Infection, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Min Dai
- Department of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Fang Du
- Department of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yan Ye
- Department of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | | | | | - Xiaodong Wang
- Department of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ting Li
- Department of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shuang Ye
- Department of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chunde Bao
- Department of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiaoming Zhang
- Key Laboratory of Immune Response and Immunotherapy, Shanghai Institute of Immunity and Infection, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Qiong Fu
- Department of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Immune Therapy Institute, Shanghai, China
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11
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Toledo-Stuardo K, Ribeiro CH, González-Herrera F, Matthies DJ, Le Roy MS, Dietz-Vargas C, Latorre Y, Campos I, Guerra Y, Tello S, Vásquez-Sáez V, Novoa P, Fehring N, González M, Rodríguez-Siza J, Vásquez G, Méndez P, Altamirano C, Molina MC. Therapeutic antibodies in oncology: an immunopharmacological overview. Cancer Immunol Immunother 2024; 73:242. [PMID: 39358613 PMCID: PMC11448508 DOI: 10.1007/s00262-024-03814-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2024] [Accepted: 08/16/2024] [Indexed: 10/04/2024]
Abstract
The biotechnological development of monoclonal antibodies and their immunotherapeutic use in oncology have grown exponentially in the last decade, becoming the first-line therapy for some types of cancer. Their mechanism of action is based on the ability to regulate the immune system or by interacting with targets that are either overexpressed in tumor cells, released into the extracellular milieu or involved in processes that favor tumor growth. In addition, the intrinsic characteristics of each subclass of antibodies provide specific effector functions against the tumor by activating antibody-dependent cellular cytotoxicity, complement-dependent cytotoxicity, and antibody-dependent cellular phagocytosis, among other mechanisms. The rational design and engineering of monoclonal antibodies have improved their pharmacokinetic and pharmacodynamic features, thus optimizing the therapeutic regimens administered to cancer patients and improving their clinical outcomes. The selection of the immunoglobulin G subclass, modifications to its crystallizable region (Fc), and conjugation of radioactive substances or antineoplastic drugs may all improve the antitumor effects of therapeutic antibodies. This review aims to provide insights into the immunological and pharmacological aspects of therapeutic antibodies used in oncology, with a rational approach at molecular modifications that can be introduced into these biological tools, improving their efficacy in the treatment of cancer.
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Affiliation(s)
- Karen Toledo-Stuardo
- Programa de Inmunología, Instituto de Ciencias Biomédicas (ICBM), Facultad de Medicina, Universidad de Chile, Avda. Independencia 1027, Block I, 3er piso, Santiago, Chile
| | - Carolina H Ribeiro
- Programa de Inmunología, Instituto de Ciencias Biomédicas (ICBM), Facultad de Medicina, Universidad de Chile, Avda. Independencia 1027, Block I, 3er piso, Santiago, Chile
| | - Fabiola González-Herrera
- Programa de Inmunología, Instituto de Ciencias Biomédicas (ICBM), Facultad de Medicina, Universidad de Chile, Avda. Independencia 1027, Block I, 3er piso, Santiago, Chile
| | - Douglas J Matthies
- Programa de Inmunología, Instituto de Ciencias Biomédicas (ICBM), Facultad de Medicina, Universidad de Chile, Avda. Independencia 1027, Block I, 3er piso, Santiago, Chile
| | - María Soledad Le Roy
- Programa de Inmunología, Instituto de Ciencias Biomédicas (ICBM), Facultad de Medicina, Universidad de Chile, Avda. Independencia 1027, Block I, 3er piso, Santiago, Chile
| | - Claudio Dietz-Vargas
- Programa de Inmunología, Instituto de Ciencias Biomédicas (ICBM), Facultad de Medicina, Universidad de Chile, Avda. Independencia 1027, Block I, 3er piso, Santiago, Chile
| | - Yesenia Latorre
- Programa de Inmunología, Instituto de Ciencias Biomédicas (ICBM), Facultad de Medicina, Universidad de Chile, Avda. Independencia 1027, Block I, 3er piso, Santiago, Chile
- Escuela de Ingeniería Bioquímica, Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile
| | - Ivo Campos
- Programa de Inmunología, Instituto de Ciencias Biomédicas (ICBM), Facultad de Medicina, Universidad de Chile, Avda. Independencia 1027, Block I, 3er piso, Santiago, Chile
| | - Yuneisy Guerra
- Programa de Inmunología, Instituto de Ciencias Biomédicas (ICBM), Facultad de Medicina, Universidad de Chile, Avda. Independencia 1027, Block I, 3er piso, Santiago, Chile
| | - Samantha Tello
- Programa de Inmunología, Instituto de Ciencias Biomédicas (ICBM), Facultad de Medicina, Universidad de Chile, Avda. Independencia 1027, Block I, 3er piso, Santiago, Chile
- Escuela de Ingeniería Bioquímica, Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile
| | - Valeria Vásquez-Sáez
- Programa de Inmunología, Instituto de Ciencias Biomédicas (ICBM), Facultad de Medicina, Universidad de Chile, Avda. Independencia 1027, Block I, 3er piso, Santiago, Chile
| | - Pedro Novoa
- Departamento de Farmacia, Facultad de Farmacia, Universidad de Concepción, Concepción, Chile
| | - Nicolás Fehring
- Programa de Inmunología, Instituto de Ciencias Biomédicas (ICBM), Facultad de Medicina, Universidad de Chile, Avda. Independencia 1027, Block I, 3er piso, Santiago, Chile
| | - Mauricio González
- Programa de Inmunología, Instituto de Ciencias Biomédicas (ICBM), Facultad de Medicina, Universidad de Chile, Avda. Independencia 1027, Block I, 3er piso, Santiago, Chile
| | - Jose Rodríguez-Siza
- Programa de Inmunología, Instituto de Ciencias Biomédicas (ICBM), Facultad de Medicina, Universidad de Chile, Avda. Independencia 1027, Block I, 3er piso, Santiago, Chile
- Escuela de Ingeniería Bioquímica, Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile
| | - Gonzalo Vásquez
- Programa de Inmunología, Instituto de Ciencias Biomédicas (ICBM), Facultad de Medicina, Universidad de Chile, Avda. Independencia 1027, Block I, 3er piso, Santiago, Chile
- Escuela de Ingeniería Bioquímica, Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile
| | - Pamela Méndez
- Programa de Inmunología, Instituto de Ciencias Biomédicas (ICBM), Facultad de Medicina, Universidad de Chile, Avda. Independencia 1027, Block I, 3er piso, Santiago, Chile
| | - Claudia Altamirano
- Escuela de Ingeniería Bioquímica, Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile
- Centro Regional de Estudio en Alimentos Saludables, Valparaíso, Chile
- Center of Interventional Medicine for Precision and Advanced Cellular Therapy (IMPACT), Santiago, Chile
| | - María Carmen Molina
- Programa de Inmunología, Instituto de Ciencias Biomédicas (ICBM), Facultad de Medicina, Universidad de Chile, Avda. Independencia 1027, Block I, 3er piso, Santiago, Chile.
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12
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Morgan G, Nau AN, Wong S, Spencer BH, Shen Y, Hua A, Bullard MJ, Sanchorawala V, Prokaeva T. An updated AL-Base reveals ranked enrichment of immunoglobulin light chain variable genes in AL amyloidosis. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.09.11.612490. [PMID: 39314448 PMCID: PMC11419035 DOI: 10.1101/2024.09.11.612490] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/25/2024]
Abstract
Background Each monoclonal antibody light chain associated with AL amyloidosis has a unique sequence. Defining how these sequences lead to amyloid deposition could facilitate faster diagnosis and lead to new treatments. Methods Light chain sequences are collected in the Boston University AL-Base repository. Monoclonal sequences from AL amyloidosis, multiple myeloma and the healthy polyclonal immune repertoire were compared to identify differences in precursor gene use, mutation frequency and physicochemical properties. Results AL-Base now contains 2,193 monoclonal light chain sequences from plasma cell dyscrasias. Sixteen germline precursor genes were enriched in AL amyloidosis, relative to multiple myeloma and the polyclonal repertoire. Two genes, IGKV1-16 and IGLV1-36, were infrequently observed but highly enriched in AL amyloidosis. The number of mutations varied widely between light chains. AL-associated κ light chains harbored significantly more mutations compared to multiple myeloma and polyclonal sequences, whereas AL-associated λ light chains had fewer mutations. Machine learning tools designed to predict amyloid propensity were less accurate for new sequences than their original training data. Conclusions Rarely-observed light chain variable genes may carry a high risk of AL amyloidosis. New approaches are needed to define sequence-associated risk factors for AL amyloidosis. AL-Base is a foundational resource for such studies.
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Affiliation(s)
- Gareth Morgan
- Boston University Amyloidosis Center, Boston University Chobanian & Avedisian School of Medicine, Boston University Medical Campus, 72 E. Concord St, Boston, MA 02118, USA
- Section of Hematology and Medical Oncology, Boston University Chobanian & Avedisian School of Medicine, Boston University Medical Campus, 72 E. Concord St, Boston, MA 02118, USA
| | - Allison N. Nau
- Boston University Amyloidosis Center, Boston University Chobanian & Avedisian School of Medicine, Boston University Medical Campus, 72 E. Concord St, Boston, MA 02118, USA
| | - Sherry Wong
- Boston University Amyloidosis Center, Boston University Chobanian & Avedisian School of Medicine, Boston University Medical Campus, 72 E. Concord St, Boston, MA 02118, USA
| | - Brian H. Spencer
- Boston University Amyloidosis Center, Boston University Chobanian & Avedisian School of Medicine, Boston University Medical Campus, 72 E. Concord St, Boston, MA 02118, USA
| | - Yun Shen
- Boston University Research Computing Services, Boston University Medical Campus, 72 E. Concord St, Boston, MA 02118, USA
| | - Axin Hua
- Biostatistics and Epidemiology Data Analytics Center, Boston University School of Public Health, Boston University Medical Campus, 72 E. Concord St, Boston, MA 02118, USA
| | - Matthew J. Bullard
- Biostatistics and Epidemiology Data Analytics Center, Boston University School of Public Health, Boston University Medical Campus, 72 E. Concord St, Boston, MA 02118, USA
| | - Vaishali Sanchorawala
- Boston University Amyloidosis Center, Boston University Chobanian & Avedisian School of Medicine, Boston University Medical Campus, 72 E. Concord St, Boston, MA 02118, USA
- Section of Hematology and Medical Oncology, Boston University Chobanian & Avedisian School of Medicine, Boston University Medical Campus, 72 E. Concord St, Boston, MA 02118, USA
| | - Tatiana Prokaeva
- Boston University Amyloidosis Center, Boston University Chobanian & Avedisian School of Medicine, Boston University Medical Campus, 72 E. Concord St, Boston, MA 02118, USA
- Department of Pathology and Laboratory Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston University Medical Campus, 72 E. Concord St, Boston, MA 02118, USA
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13
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Liu J, Zhang K, Zhang X, Guan F, Zeng H, Kubo M, Lee P, Candotti F, James LK, Camara NOS, Benlagha K, Lei J, Forsman H, Yang L, Xiao W, Liu Z, Liu C. Immunoglobulin class-switch recombination: Mechanism, regulation, and related diseases. MedComm (Beijing) 2024; 5:e662. [PMID: 39144468 PMCID: PMC11322596 DOI: 10.1002/mco2.662] [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: 05/26/2023] [Revised: 06/30/2024] [Accepted: 06/30/2024] [Indexed: 08/16/2024] Open
Abstract
Maturation of the secondary antibody repertoire requires class-switch recombination (CSR), which switches IgM to other immunoglobulins (Igs), and somatic hypermutation, which promotes the production of high-affinity antibodies. Following immune response or infection within the body, activation of T cell-dependent and T cell-independent antigens triggers the activation of activation-induced cytidine deaminase, initiating the CSR process. CSR has the capacity to modify the functional properties of antibodies, thereby contributing to the adaptive immune response in the organism. Ig CSR defects, characterized by an abnormal relative frequency of Ig isotypes, represent a rare form of primary immunodeficiency. Elucidating the molecular basis of Ig diversification is essential for a better understanding of diseases related to Ig CSR defects and could provide clues for clinical diagnosis and therapeutic approaches. Here, we review the most recent insights on the diversification of five Ig isotypes and choose several classic diseases, including hyper-IgM syndrome, Waldenström macroglobulinemia, hyper-IgD syndrome, selective IgA deficiency, hyper-IgE syndrome, multiple myeloma, and Burkitt lymphoma, to illustrate the mechanism of Ig CSR deficiency. The investigation into the underlying mechanism of Ig CSR holds significant potential for the advancement of increasingly precise diagnostic and therapeutic approaches.
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Affiliation(s)
- Jia‐Chen Liu
- Institute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and TechnologyWuhanChina
- Department of Pathogen BiologySchool of Basic Medicine, Tongji Medical College and State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Huazhong University of Science and TechnologyWuhanHubeiChina
| | - Ke Zhang
- Department of Pathogen BiologySchool of Basic Medicine, Tongji Medical College and State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Huazhong University of Science and TechnologyWuhanHubeiChina
| | - Xu Zhang
- Department of RespiratoryThe First Affiliated Hospital of Yangtze UniversityJingzhouChina
| | - Fei Guan
- Department of Pathogen BiologySchool of Basic Medicine, Tongji Medical College and State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Huazhong University of Science and TechnologyWuhanHubeiChina
| | - Hu Zeng
- Department of ImmunologyMayo Clinic College of Medicine and ScienceRochesterUSA
| | - Masato Kubo
- Laboratory for Cytokine Regulation, Center for Integrative Medical Science (IMS), RIKEN Yokohama InstituteYokohamaJapan
| | - Pamela Lee
- Department of Paediatrics and Adolescent MedicineLKS Faculty of MedicineThe University of Hong KongHong KongChina
| | - Fabio Candotti
- Division of Immunology and AllergyLausanne University Hospital and University of LausanneLausanneSwitzerland
| | | | | | - Kamel Benlagha
- Institut de Recherche Saint‐LouisUniversité de ParisParisFrance
| | - Jia‐Hui Lei
- Department of Pathogen BiologySchool of Basic Medicine, Tongji Medical College and State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Huazhong University of Science and TechnologyWuhanHubeiChina
| | - Huamei Forsman
- Department of Rheumatology and Inflammation ResearchInstitute of Medicine, Sahlgrenska Academy, University of GothenburgGothenburgSweden
| | - Lu Yang
- Department of Pathogen BiologySchool of Basic Medicine, Tongji Medical College and State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Huazhong University of Science and TechnologyWuhanHubeiChina
| | - Wei Xiao
- Department of RespiratoryThe First Affiliated Hospital of Yangtze UniversityJingzhouChina
| | - Zheng Liu
- Department of Otolaryngology‐Head and Neck SurgeryTongji Hospital, Tongji Medical College, HuazhongUniversity of Science and TechnologyWuhanChina
| | - Chao‐Hong Liu
- Department of Pathogen BiologySchool of Basic Medicine, Tongji Medical College and State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Huazhong University of Science and TechnologyWuhanHubeiChina
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14
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Sanou G, Manso T, Todorov K, Giudicelli V, Duroux P, Kossida S. IMGT/mAb-KG: the knowledge graph for therapeutic monoclonal antibodies. Front Immunol 2024; 15:1393839. [PMID: 38975336 PMCID: PMC11225432 DOI: 10.3389/fimmu.2024.1393839] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2024] [Accepted: 05/31/2024] [Indexed: 07/09/2024] Open
Abstract
Introduction Therapeutic monoclonal antibodies (mAbs) have demonstrated promising outcomes in diverse clinical indications, including but not limited to graft rejection, cancer, and autoimmune diseases lately.Recognizing the crucial need for the scientific community to quickly and easily access dependable information on monoclonal antibodies (mAbs), IMGT®, the international ImMunoGeneTics information system®, provides a unique and invaluable resource: IMGT/mAb-DB, a comprehensive database of therapeutic mAbs, accessible via a user-friendly web interface. However, this approach restricts more sophisticated queries and segregates information from other databases. Methods To connect IMGT/mAb-DB with the rest of the IMGT databases, we created IMGT/mAb-KG, a knowledge graph for therapeutic monoclonal antibodies connected to IMGT structures and genomics databases. IMGT/mAb-KG is developed using the most effective methodologies and standards of semantic web and acquires data from IMGT/mAb-DB. Concerning interoperability, IMGT/mAb-KG reuses terms from biomedical resources and is connected to related resources. Results and discussion In February 2024, IMGT/mAb-KG, encompassing a total of 139,629 triplets, provides access to 1,489 mAbs, approximately 500 targets, and over 500 clinical indications. It offers detailed insights into the mechanisms of action of mAbs, their construction, and their various products and associated studies. Linked to other resources such as Thera-SAbDab (Therapeutic Structural Antibody Database), PharmGKB (a comprehensive resource curating knowledge on the impact of genetic variation on drug response), PubMed, and HGNC (HUGO Gene Nomenclature Committee), IMGT/mAb-KG is an essential resource for mAb development. A user-friendly web interface facilitates the exploration and analyse of the content of IMGT/mAb-KG.
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Affiliation(s)
- Gaoussou Sanou
- The International ImMunoGeneTics Information System (IMGT), National Center for Scientific Research (CNRS), Institute of Human Genetics (IGH), University of Montpellier (UM), Montpellier, France
- Montpellier Laboratory for Computer Science, Robotics and Microelectronics (LIRMM), University of Montpellier, National Center for Scientific Research (CNRS), Montpellier, France
| | - Taciana Manso
- The International ImMunoGeneTics Information System (IMGT), National Center for Scientific Research (CNRS), Institute of Human Genetics (IGH), University of Montpellier (UM), Montpellier, France
| | - Konstantin Todorov
- Montpellier Laboratory for Computer Science, Robotics and Microelectronics (LIRMM), University of Montpellier, National Center for Scientific Research (CNRS), Montpellier, France
| | - Véronique Giudicelli
- The International ImMunoGeneTics Information System (IMGT), National Center for Scientific Research (CNRS), Institute of Human Genetics (IGH), University of Montpellier (UM), Montpellier, France
| | - Patrice Duroux
- The International ImMunoGeneTics Information System (IMGT), National Center for Scientific Research (CNRS), Institute of Human Genetics (IGH), University of Montpellier (UM), Montpellier, France
| | - Sofia Kossida
- The International ImMunoGeneTics Information System (IMGT), National Center for Scientific Research (CNRS), Institute of Human Genetics (IGH), University of Montpellier (UM), Montpellier, France
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Schreiner S, Berghaus N, Poos AM, Raab MS, Besemer B, Fenk R, Goldschmidt H, Mai EK, Müller-Tidow C, Weinhold N, Hegenbart U, Huhn S, Schönland SO. Sequence diversity of kappa light chains from patients with AL amyloidosis and multiple myeloma. Amyloid 2024; 31:86-94. [PMID: 38206120 DOI: 10.1080/13506129.2023.2295221] [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: 03/26/2023] [Accepted: 12/11/2023] [Indexed: 01/12/2024]
Abstract
BACKGROUND AL amyloidosis (AL) results from the misfolding of immunoglobulin light chains (IG LCs). Aim of this study was to comprehensively analyse kappa LC sequences from AL patients in comparison with multiple myeloma (MM). OBJECTIVE We analysed IGKV/IGKJ usage and associated organ tropism and IGKV1/D-33 in terms of mutational analysis and theoretical biochemical properties. MATERIAL AND METHODS cDNA and bulk RNA sequencing of the LCs of AL and MM patients. RESULTS We studied 41 AL and 83 MM patients showing that IGKV1 was most expressed among kappa AL and MM, with higher frequency in AL (80% vs. 53%, p = .002). IGKV3 was underrepresented in AL (10% vs. 30%, p = .014). IGKJ2 was more commonly used in AL than in MM (39% vs. 29%). Patients with IGKV1/D-33 were associated with heart involvement (75%, p = .024). IGKV1/D-33-segments of AL had a higher mutation count (AL = 12.0 vs. MM = 10.0). FR3 and CDR3 were most frequently mutated in both, with a median mutation count in FR3 being the highest (AL = 4.0; MM = 3.5) and one mutation hotspot (FR3 (83I)) for IGKV1/D-33/IGKJ2 was associated with cardiac involvement. CONCLUSION This study confirmed that germline usage has an influence on AL amyloidosis risk and organ involvement.
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Affiliation(s)
- Sarah Schreiner
- Medical Department V, Amyloidosis Center, Heidelberg University Hospital, Heidelberg, Germany
| | - Natalie Berghaus
- Medical Department V, Amyloidosis Center, Heidelberg University Hospital, Heidelberg, Germany
| | - Alexandra M Poos
- Medical Department V, Heidelberg Myeloma Center, Heidelberg University Hospital, Germany
| | - Marc S Raab
- Medical Department V, Heidelberg Myeloma Center, Heidelberg University Hospital, National Centre for Tumor Diseases (NCT), Heidelberg, Germany
| | - Britta Besemer
- Department of Internal Medicine II, Tübingen University Hospital, Tübingen, Germany
| | - Roland Fenk
- Department of Hematology, Oncology, and Clinical Immunology, Düsseldorf University Hospital, Düsseldorf, Germany
| | - Hartmut Goldschmidt
- Medical Department V, Heidelberg Myeloma Center, Heidelberg University Hospital, National Centre for Tumor Diseases (NCT), Heidelberg, Germany
| | - Elias K Mai
- Medical Department V, Heidelberg Myeloma Center, Heidelberg University Hospital, National Centre for Tumor Diseases (NCT), Heidelberg, Germany
| | | | - Niels Weinhold
- Medical Department V, Heidelberg Myeloma Center, Heidelberg University Hospital, Germany
| | - Ute Hegenbart
- Medical Department V, Amyloidosis Center, Heidelberg University Hospital, Heidelberg, Germany
| | - Stefanie Huhn
- Medical Department V, Heidelberg Myeloma Center, Heidelberg University Hospital, Germany
| | - Stefan O Schönland
- Medical Department V, Amyloidosis Center, Heidelberg University Hospital, Heidelberg, Germany
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16
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Garcia-Calvo E, García-García A, Rodríguez S, Martín R, García T. Unraveling the Properties of Phage Display Fab Libraries and Their Use in the Selection of Gliadin-Specific Probes by Applying High-Throughput Nanopore Sequencing. Viruses 2024; 16:686. [PMID: 38793567 PMCID: PMC11126117 DOI: 10.3390/v16050686] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Revised: 04/19/2024] [Accepted: 04/25/2024] [Indexed: 05/26/2024] Open
Abstract
Directed evolution is a pivotal strategy for new antibody discovery, which allowed the generation of high-affinity Fabs against gliadin from two antibody libraries in our previous studies. One of the libraries was exclusively derived from celiac patients' mRNA (immune library) while the other was obtained through a protein engineering approach (semi-immune library). Recent advances in high-throughput DNA sequencing techniques are revolutionizing research across genomics, epigenomics, and transcriptomics. In the present work, an Oxford Nanopore in-lab sequencing device was used to comprehensively characterize the composition of the constructed libraries, both at the beginning and throughout the phage-mediated selection processes against gliadin. A customized analysis pipeline was used to select high-quality reads, annotate chain distribution, perform sequence analysis, and conduct statistical comparisons between the different selection rounds. Some immunological attributes of the most representative phage variants after the selection process were also determined. Sequencing results revealed the successful transfer of the celiac immune response features to the immune library and the antibodies derived from it, suggesting the crucial role of these features in guiding the selection of high-affinity recombinant Fabs against gliadin. In summary, high-throughput DNA sequencing has improved our understanding of the selection processes aimed at generating molecular binders against gliadin.
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Affiliation(s)
| | - Aina García-García
- Department of Nutrition and Food Sciences, School of Veterinary Sciences, Universidad Complutense de Madrid, 28040 Madrid, Spain; (E.G.-C.); (S.R.); (R.M.); (T.G.)
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17
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Zheng J, Li G, Liu W, Deng Y, Xu X. The Expression of Non B Cell-Derived Immunoglobulins. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2024; 1445:11-36. [PMID: 38967747 DOI: 10.1007/978-981-97-0511-5_2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/06/2024]
Abstract
Although V(D)J recombination and immunoglobulin (Ig) production are traditionally recognised to occur only in B lymphocytes and plasma cells, the expression of Igs in non-lymphoid cells, which we call non B cell-derived Igs (non B Igs), has been documented by growing studies. It has been demonstrated that non B-Igs can be widely expressed in most cell types, including, but not limited to, epithelial cells, cardiomyocytes, hematopoietic stem/progenitor cells, myeloid cells, and cells from immune-privileged sites, such as neurons and spermatogenic cells. In particular, malignant tumour cells express high level of IgG. Moreover, different from B-Igs that mainly localised on the B cell membrane and in the serum and perform immune defence function mainly, non B-Igs have been found to distribute more widely and play critical roles in immune defence, maintaining cell proliferation and survival, and promoting progression. The findings of non B-Igs may provide a wealthier breakthrough point for more therapeutic strategies for a wide range of immune-related diseases.
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Affiliation(s)
- Jie Zheng
- Hematologic Disease Laboratory, Department of Stem Cell Transplantation, Beijing Children's Hospital, Capital Medical University, Beijing, China.
| | - Guohui Li
- Department of Pharmacology, College of Medicine, University of Arizona, Tucson, AZ, USA
| | - Wei Liu
- Department of Immunology, Hebei Medical University, Shijiazhuang, China
| | - Yuqing Deng
- Department of Immunology, Hebei Medical University, Shijiazhuang, China
| | - XiaoJun Xu
- Department of Immunology, School of Basic Medical Sciences, Peking University, Beijing, China
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18
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Klimtchuk ES, Peterle D, Bullitt EA, Connors LH, Engen JR, Gursky O. Role of complementarity-determining regions 1 and 3 in pathologic amyloid formation by human immunoglobulin κ1 light chains. Amyloid 2023; 30:364-378. [PMID: 37216473 PMCID: PMC10663386 DOI: 10.1080/13506129.2023.2212397] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Revised: 04/24/2023] [Accepted: 05/04/2023] [Indexed: 05/24/2023]
Abstract
BACKGROUND Immunoglobulin light chain (LC) amyloidosis is a life-threatening disease complicated by vast numbers of patient-specific mutations. We explored 14 patient-derived and engineered proteins related to κ1-family germline genes IGKVLD-33*01 and IGKVLD-39*01. METHODS Hydrogen-deuterium exchange mass spectrometry analysis of conformational dynamics in recombinant LCs and their fragments was integrated with studies of thermal stability, proteolytic susceptibility, amyloid formation and amyloidogenic sequence propensity. The results were mapped on the structures of native and fibrillary proteins. RESULTS Proteins from two κ1 subfamilies showed unexpected differences. Compared to their germline counterparts, amyloid LC related to IGKVLD-33*01 was less stable and formed amyloid faster, whereas amyloid LC related to IGKVLD-39*01 had similar stability and formed amyloid slower, suggesting different major factors influencing amyloidogenesis. In 33*01-related amyloid LC, these factors involved destabilization of the native structure and probable stabilization of amyloid. The atypical behavior of 39*01-related amyloid LC stemmed from increased dynamics/exposure of amyloidogenic segments in βC'V and βEV that could initiate aggregation and decreased dynamics/exposure near the Cys23-Cys88 disulfide. CONCLUSIONS The results suggest distinct amyloidogenic pathways for closely related LCs and point to the complementarity-defining regions CDR1 and CDR3, linked via the conserved internal disulfide, as key factors in amyloid formation.
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Affiliation(s)
- Elena S. Klimtchuk
- Amyloidosis Center, Boston University Chobanian and Avedisian School of Medicine, Boston MA 02118, United States
| | - Daniele Peterle
- Department of Chemistry and Chemical Biology, Northeastern University, 360 Huntington Avenue, Boston, MA, 02115, United States
| | - Esther A. Bullitt
- Department of Physiology & Biophysics, Boston University Chobanian and Avedisian School of Medicine, W302, 700 Albany Street, Boston, MA, 02118, United States
| | - Lawreen H. Connors
- Amyloidosis Center, Boston University Chobanian and Avedisian School of Medicine, Boston MA 02118, United States
| | - John R. Engen
- Department of Chemistry and Chemical Biology, Northeastern University, 360 Huntington Avenue, Boston, MA, 02115, United States
| | - Olga Gursky
- Amyloidosis Center, Boston University Chobanian and Avedisian School of Medicine, Boston MA 02118, United States
- Department of Physiology & Biophysics, Boston University Chobanian and Avedisian School of Medicine, W302, 700 Albany Street, Boston, MA, 02118, United States
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19
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Volkmar M, Fakhr E, Zens S, Bury A, Offringa R, Gordon J, Huduti E, Wölfel T, Wölfel C. Identification of TRDV-TRAJ V domains in human and mouse T-cell receptor repertoires. Front Immunol 2023; 14:1286688. [PMID: 38077312 PMCID: PMC10702483 DOI: 10.3389/fimmu.2023.1286688] [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: 08/31/2023] [Accepted: 10/30/2023] [Indexed: 12/18/2023] Open
Abstract
Here, we describe the identification of two T-cell receptors (TRs) containing TRDV genes in their TRA chains, the first one in human and the second one in mouse. First, using 5'RACE on a mixed lymphocyte-tumor cell culture (MLTC), we identified TRDV1 5'-untranslated region (UTR) and complete coding sequence rearranged productively to TRAJ24. Single-cell TR RNA sequencing (RNA-seq) of the MLTC, conducted to identify additional clonotypes, revealed that the analysis software detected the hybrid TRDV-TRAJ TRA (TRA) chain but excluded it from the final results. In a separate project, we performed TR sequencing of tumor-infiltrating lymphocytes (TILs) in a murine tumor model. Here, the predominant clonotype contained a TRA chain with a TRDV2-2-TRAJ49 rearrangement. Again, the hybrid TRA chain was not reported in the final results. Transfection of both TR cDNAs resulted in cell surface localization of TR together with CD3, suggesting a productive protein in both cases. Tumor recognition of the Homo sapiens (Homsap) TRDV1-containing TR could be demonstrated by IFN Gamma ELISA ELISpot kit, whereas the Mus musculus (Musmus) TR did not recognize a tumor-derived cell line. To determine whether the TRDV-containing TRA chains we detected were rare events or whether TRDV genes are commonly incorporated into TRA chains, we queried the NCBI Sequence Read Archive for TR single-cell RNA-seq data and analyzed 21 human and 23 murine datasets. We found that especially Homsap TRDV1, Musmus TRDV1, and to some extent Musmus TRDV2-2 are more commonly incorporated into TRA chains than several TRAV genes, making those TRDV genes a relevant contribution to TRA diversity. TRDV-containing TRA chains are currently excluded from the final results of V-(D)-J dataset analyses with the CellRanger software. We provide a work-around to avoid exclusion of those hybrid TRA chains from the final analysis results.
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Affiliation(s)
- Michael Volkmar
- TCR Discovery Platform, Helmholtz Institute for Translational Oncology (HI-TRON) Mainz, Mainz, Germany
| | - Elham Fakhr
- TCR Discovery Platform, Helmholtz Institute for Translational Oncology (HI-TRON) Mainz, Mainz, Germany
| | - Stefan Zens
- Department D200, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Alice Bury
- Helmholtz Institute for Translational Oncology (HI-TRON) Mainz, Mainz, Germany
| | - Rienk Offringa
- Department D200, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Jessica Gordon
- BioNtech, Deptartment Immunotherapies & Preclinical Research, Cellular Biomarker and Immunology Research Team, Mainz, Germany
| | - Enes Huduti
- Helmholtz Institute for Translational Oncology (HI-TRON) Mainz, Mainz, Germany
| | - Thomas Wölfel
- Internal Medicine III, University Cancer Center (UCT), Research Center for Immunotherapy (FZI), University Medical Center (UMC) of the Johannes Gutenberg University Mainz and German Cancer Consortium (DKTK), Partner Site Frankfurt/Mainz, Mainz, Germany
| | - Catherine Wölfel
- Internal Medicine III, University Cancer Center (UCT), Research Center for Immunotherapy (FZI), University Medical Center (UMC) of the Johannes Gutenberg University Mainz and German Cancer Consortium (DKTK), Partner Site Frankfurt/Mainz, Mainz, Germany
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20
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Berghaus N, Schreiner S, Poos AM, Raab MS, Goldschmidt H, Mai EK, Salwender HJ, Bernhard H, Thurner L, Müller-Tidow C, Weinhold N, Hegenbart U, Schönland SO, Huhn S. Comparison of IGLV2-14 light chain sequences of patients with AL amyloidosis or multiple myeloma. FEBS J 2023; 290:4256-4267. [PMID: 37097223 DOI: 10.1111/febs.16805] [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: 11/02/2022] [Revised: 02/24/2023] [Accepted: 04/25/2023] [Indexed: 04/26/2023]
Abstract
Light chain amyloidosis (AL) is one of the most common forms of systemic amyloidosis and is caused by the deposition of insoluble fibrils derived from misfolded and aggregated immunoglobulin light chains (LC). To uncover the causes leading to this aggregation, we compared AL LC sequences with those of patients with the related disease multiple myeloma (MM), which do not aggregate in insoluble fibrils in vivo. IGLV2-14 is one of the most common AL-associated IGLV subfamilies. Here, we analysed IGLV2-14 LC sequences of 13 AL and eight MM patients in detail. We found that AL-associated LCs presented a lower median mutation count (7.0 vs. 11.5 in MM; P = 0.045), as well as an overall composition of less charged amino acids than MM LCs. However, we did not find a mutation that was present in ≥ 50% of the AL and not in the MM sequences. Furthermore, we did not find a significant difference in the isoelectric point (pI) in general, suggesting similar stability of the LCs in AL and MM. However, the subgroup of patients without a detectable heavy chain stood out. Surprisingly, they are characterized by an increase in mutation count (median 7.0 vs. 5.5) and pI (median 7.82 vs. 6.44, P = 0.043). In conclusion, our data suggest that the amount of mutations and the introduction of charges play a crucial role in AL fibril formation, as well as the absence or presence of a potential heavy chain binding partner.
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Affiliation(s)
- Natalie Berghaus
- Medical Department V, Amyloidosis Center, Heidelberg University Hospital, Germany
| | - Sarah Schreiner
- Medical Department V, Amyloidosis Center, Heidelberg University Hospital, Germany
| | - Alexandra M Poos
- Medical Department V, Section of Multiple Myeloma, Heidelberg University Hospital, Germany
| | - Marc S Raab
- Medical Department V, Section of Multiple Myeloma, Heidelberg University Hospital, Germany
- National Centre for Tumor Diseases (NCT), Heidelberg, Germany
| | - Hartmut Goldschmidt
- Medical Department V, Section of Multiple Myeloma, Heidelberg University Hospital, Germany
| | - Elias K Mai
- Medical Department V, Section of Multiple Myeloma, Heidelberg University Hospital, Germany
- National Centre for Tumor Diseases (NCT), Heidelberg, Germany
| | | | - Helga Bernhard
- Medical Department V, Hematology/Oncology, Hospital Darmstadt GmbH, Germany
| | - Lorenz Thurner
- Internal Medicine I, University Hospital Saarland, Homburg/ Saar, Germany
| | | | - Niels Weinhold
- Medical Department V, Section of Multiple Myeloma, Heidelberg University Hospital, Germany
| | - Ute Hegenbart
- Medical Department V, Amyloidosis Center, Heidelberg University Hospital, Germany
| | - Stefan O Schönland
- Medical Department V, Amyloidosis Center, Heidelberg University Hospital, Germany
| | - Stefanie Huhn
- Medical Department V, Section of Multiple Myeloma, Heidelberg University Hospital, Germany
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21
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Boudinot P, Novas S, Jouneau L, Mondot S, Lefranc MP, Grimholt U, Magadán S. Evolution of T cell receptor beta loci in salmonids. Front Immunol 2023; 14:1238321. [PMID: 37649482 PMCID: PMC10464911 DOI: 10.3389/fimmu.2023.1238321] [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: 06/11/2023] [Accepted: 07/17/2023] [Indexed: 09/01/2023] Open
Abstract
T-cell mediated immunity relies on a vast array of antigen specific T cell receptors (TR). Characterizing the structure of TR loci is essential to study the diversity and composition of T cell responses in vertebrate species. The lack of good-quality genome assemblies, and the difficulty to perform a reliably mapping of multiple highly similar TR sequences, have hindered the study of these loci in non-model organisms. High-quality genome assemblies are now available for the two main genera of Salmonids, Salmo and Oncorhynchus. We present here a full description and annotation of the TRB loci located on chromosomes 19 and 25 of rainbow trout (Oncorhynchus mykiss). To get insight about variations of the structure and composition of TRB locus across salmonids, we compared rainbow trout TRB loci with other salmonid species and confirmed that the basic structure of salmonid TRB locus is a double set of two TRBV-D-J-C loci in opposite orientation on two different chromosomes. Our data shed light on the evolution of TRB loci in Salmonids after their whole genome duplication (WGD). We established a coherent nomenclature of salmonid TRB loci based on comprehensive annotation. Our work provides a fundamental basis for monitoring salmonid T cell responses by TRB repertoire sequencing.
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Affiliation(s)
- Pierre Boudinot
- Université Paris-Saclay, INRAE, UVSQ, VIM, Jouy-en-Josas, France
| | - Samuel Novas
- Immunology Laboratory, Research Center for Nanomaterials and Biomedicine (CINBIO), Universidade de Vigo, Vigo, Spain
| | - Luc Jouneau
- Université Paris-Saclay, INRAE, UVSQ, VIM, Jouy-en-Josas, France
| | - Stanislas Mondot
- Université Paris-Saclay, INRAE, AgroParisTech, Micalis Institute, Jouy-en-Josas, France
| | - Marie-Paule Lefranc
- IMGT, The International ImMunoGeneTics Information System® (IMGT), Laboratoire d´ImmunoGénétique Moléculaire (LIGM), Institut de Génétique Humaine (IGH), Centre National de la Recherche Scientifique (CNRS), University of Montpellier, Montpellier, France
| | - Unni Grimholt
- Fish Health Research Section, Norwegian Veterinary Institute, Oslo, Norway
| | - Susana Magadán
- Immunology Laboratory, Research Center for Nanomaterials and Biomedicine (CINBIO), Universidade de Vigo, Vigo, Spain
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22
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Kelsall E, Harris C, Sen T, Hatton D, Dunn S, Gibson S. Interplay of heavy chain introns influences efficient transcript splicing and affects product quality of recombinant biotherapeutic antibodies from CHO cells. MAbs 2023; 15:2242548. [PMID: 37555672 PMCID: PMC10413919 DOI: 10.1080/19420862.2023.2242548] [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: 04/12/2023] [Revised: 07/12/2023] [Accepted: 07/26/2023] [Indexed: 08/10/2023] Open
Abstract
Introns are included in genes encoding therapeutic proteins for their well-documented function of boosting expression. However, mis-splicing of introns in recombinant immunoglobulin (IgG) heavy chain (HC) transcripts can produce amino acid sequence product variants. These variants can affect product quality; therefore, purification process optimization may be needed to remove them, or if they cannot be removed, then in-depth characterization must be carried out to understand their effects on biological activity. In this study, HC transgene engineering approaches were investigated and were successful in significantly reducing the previously identified IgG HC splice variants to <0.5%. Subsequently, a comprehensive evaluation was conducted to understand the influence of the different introns in the HC genes on the expression of recombinant biotherapeutic antibodies. The data revealed an unexpected cooperation between specific introns for efficient splicing, where intron retention led to significant reductions in IgG expression of up to 75% for some intron combinations. Furthermore, it was shown that HC introns could be fully removed without significantly affecting productivity. This work paves the way for future biotherapeutic antibody transgene design with regard to inclusion of HC introns. By removing unnecessary introns, transgene mRNA transcript will no longer be mis-spliced, thereby eliminating HC splice variants and improving antibody product quality.
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Affiliation(s)
- Emma Kelsall
- Cell Culture and Fermentation Sciences, Biopharmaceutical Development, R&D, AstraZeneca, Cambridge, UK
| | - Claire Harris
- Cell Culture and Fermentation Sciences, Biopharmaceutical Development, R&D, AstraZeneca, Cambridge, UK
| | - Titash Sen
- Cell Culture and Fermentation Sciences, Biopharmaceutical Development, R&D, AstraZeneca, Cambridge, UK
| | - Diane Hatton
- Cell Culture and Fermentation Sciences, Biopharmaceutical Development, R&D, AstraZeneca, Cambridge, UK
| | - Sarah Dunn
- Cell Culture and Fermentation Sciences, Biopharmaceutical Development, R&D, AstraZeneca, Cambridge, UK
| | - Suzanne Gibson
- Cell Culture and Fermentation Sciences, Biopharmaceutical Development, R&D, AstraZeneca, Cambridge, UK
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23
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Yuan M, Wang Y, Lv H, Tan TJC, Wilson IA, Wu NC. Molecular analysis of a public cross-neutralizing antibody response to SARS-CoV-2. Cell Rep 2022; 41:111650. [PMID: 36335937 PMCID: PMC9606039 DOI: 10.1016/j.celrep.2022.111650] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Revised: 07/13/2022] [Accepted: 10/20/2022] [Indexed: 11/18/2022] Open
Abstract
As severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants of concerns (VOCs) continue to emerge, cross-neutralizing antibody responses become key toward next-generation design of a more universal COVID-19 vaccine. By analyzing published data from the literature, we report here that the combination of germline genes IGHV2-5/IGLV2-14 represents a public antibody response to the receptor-binding domain (RBD) that potently cross-neutralizes a broad range of VOCs, including Omicron and its sub-lineages. Detailed molecular analysis shows that the complementarity-determining region H3 sequences of IGHV2-5/IGLV2-14-encoded RBD antibodies have a preferred length of 11 amino acids and a conserved HxIxxI motif. In addition, these antibodies have a strong allelic preference due to an allelic polymorphism at amino acid residue 54 of IGHV2-5, which is located at the paratope. These findings have important implications for understanding cross-neutralizing antibody responses to SARS-CoV-2 and its heterogenicity at the population level as well as the development of a universal COVID-19 vaccine.
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Affiliation(s)
- Meng Yuan
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Yiquan Wang
- Department of Biochemistry, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Huibin Lv
- Department of Biochemistry, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA; HKU-Pasteur Research Pole, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Timothy J C Tan
- Center for Biophysics and Quantitative Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Ian A Wilson
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA; The Skaggs Institute for Chemical Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Nicholas C Wu
- Department of Biochemistry, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA; Center for Biophysics and Quantitative Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA; Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA; Carle Illinois College of Medicine, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.
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24
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Lefranc MP, Lefranc G. IMGT ® Nomenclature of Engineered IGHG Variants Involved in Antibody Effector Properties and Formats. Antibodies (Basel) 2022; 11:65. [PMID: 36278618 PMCID: PMC9624366 DOI: 10.3390/antib11040065] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Revised: 10/10/2022] [Accepted: 10/12/2022] [Indexed: 11/16/2022] Open
Abstract
The constant region of the immunoglobulin (IG) or antibody heavy gamma chain is frequently engineered to modify the effector properties of the therapeutic monoclonal antibodies. These variants are classified in regards to their effects on effector functions, antibody-dependent cytotoxicity (ADCC), antibody-dependent phagocytosis (ADCP), complement-dependent cytotoxicity (CDC) enhancement or reduction, B cell inhibition by the coengagement of antigen and FcγR on the same cell, on half-life increase, and/or on structure such as prevention of IgG4 half-IG exchange, hexamerisation, knobs-into-holes and the heteropairing H-H of bispecific antibodies, absence of disulfide bridge inter H-L, absence of glycosylation site, and site-specific drug attachment engineered cysteine. The IMGT engineered variant identifier is comprised of the species and gene name (and eventually allele), the letter 'v' followed by a number (assigned chronologically), and for each concerned domain (e.g, CH1, h, CH2 and CH3), the novel AA (single letter abbreviation) and IMGT position according to the IMGT unique numbering for the C-domain and between parentheses, the Eu numbering. IMGT engineered variants are described with detailed amino acid changes, visualized in motifs based on the IMGT numbering bridging genes, sequences, and structures for higher order description.
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Affiliation(s)
- Marie-Paule Lefranc
- IMGT®, The International ImMunoGeneTics Information System®, Laboratoire d’ImmunoGénétique Moléculaire (LIGM), Institut de Génétique Humaine (IGH), Centre National de la Recherche Scientifique (CNRS), Université de Montpellier (UM), UMR 9002 CNRS-UM, CEDEX 5, 34396 Montpellier, France
| | - Gérard Lefranc
- IMGT®, The International ImMunoGeneTics Information System®, Laboratoire d’ImmunoGénétique Moléculaire (LIGM), Institut de Génétique Humaine (IGH), Centre National de la Recherche Scientifique (CNRS), Université de Montpellier (UM), UMR 9002 CNRS-UM, CEDEX 5, 34396 Montpellier, France
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25
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A fully automated high-throughput plasmid purification workstation for the generation of mammalian cell expression-quality DNA. SLAS Technol 2022; 27:227-236. [DOI: 10.1016/j.slast.2022.01.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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26
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Guan C, Yang Y, Tian D, Jiang Z, Zhang H, Li Y, Yan J, Zhang C, Chen C, Zhang J, Wang J, Wang Y, Du H, Zhou H, Wang T. Evaluation of an Ussing Chamber System Equipped with Rat Intestinal Tissues to Predict Intestinal Absorption and Metabolism in Humans. Eur J Drug Metab Pharmacokinet 2022; 47:639-652. [PMID: 35733077 DOI: 10.1007/s13318-022-00780-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/29/2022] [Indexed: 11/03/2022]
Abstract
BACKGROUND AND OBJECTIVE Oral bioavailability (F) is one of the key factors that need to be determined in drug discovery. This factor is determined by the permeability and solubility of new molecule entities (NMEs) according to the biopharmaceutics classification system (BCS). METHODS In the present study, we evaluated the permeability of 22 drugs in rat intestinal tissues using an Ussing chamber system and correlated the permeability with data on human intestinal absorption (Fa) and intestinal availability (Fa × Fg) reported in the literature. RESULTS The rat intestinal permeability data were better correlated with the combined effect of the absorbed fraction (Fa) and the fraction escaping intestinal metabolism (Fg) than Fa itself. Clear regional dependent absorption was observed for most of the test drugs, and ileal Papp was generally higher than that in other segments. Finally, the function of the efflux transporter P-glycoprotein (P-gp) with regard to oral absorption of substrates was evaluated with an Ussing chamber. We also demonstrated that the rat intestinal stability of the three cytochrome P450 (CYP) substrates was consistent with the human data. CONCLUSION An Ussing chamber system incorporating rat intestinal tissue would be a valuable tool to predict human intestinal absorption and metabolism for molecules with various physicochemical properties.
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Affiliation(s)
- Chi Guan
- Drug Metabolism and Pharmacokinetics (DMPK) Department, Pharmaron Beijing Co., Ltd., 6 Taihe Road, BDA, Beijing, 100176, China
| | - Yingxin Yang
- Drug Metabolism and Pharmacokinetics (DMPK) Department, Pharmaron Beijing Co., Ltd., 6 Taihe Road, BDA, Beijing, 100176, China
| | - Dong Tian
- Drug Metabolism and Pharmacokinetics (DMPK) Department, Pharmaron Beijing Co., Ltd., 6 Taihe Road, BDA, Beijing, 100176, China
| | - Zhiqiang Jiang
- Drug Metabolism and Pharmacokinetics (DMPK) Department, Pharmaron Beijing Co., Ltd., 6 Taihe Road, BDA, Beijing, 100176, China
| | - Huiying Zhang
- Drug Metabolism and Pharmacokinetics (DMPK) Department, Pharmaron Beijing Co., Ltd., 6 Taihe Road, BDA, Beijing, 100176, China
| | - Yali Li
- Drug Metabolism and Pharmacokinetics (DMPK) Department, Pharmaron Beijing Co., Ltd., 6 Taihe Road, BDA, Beijing, 100176, China
| | - Jiaxiu Yan
- Drug Metabolism and Pharmacokinetics (DMPK) Department, Pharmaron Beijing Co., Ltd., 6 Taihe Road, BDA, Beijing, 100176, China
| | - Congman Zhang
- Drug Metabolism and Pharmacokinetics (DMPK) Department, Pharmaron Beijing Co., Ltd., 6 Taihe Road, BDA, Beijing, 100176, China
| | - Chun Chen
- Drug Metabolism and Pharmacokinetics (DMPK) Department, Pharmaron Beijing Co., Ltd., 6 Taihe Road, BDA, Beijing, 100176, China
| | - Junhua Zhang
- Drug Metabolism and Pharmacokinetics (DMPK) Department, Pharmaron Beijing Co., Ltd., 6 Taihe Road, BDA, Beijing, 100176, China
| | - Jing Wang
- Drug Metabolism and Pharmacokinetics (DMPK) Department, Pharmaron Beijing Co., Ltd., 6 Taihe Road, BDA, Beijing, 100176, China
| | - Yu Wang
- Drug Metabolism and Pharmacokinetics (DMPK) Department, Pharmaron Beijing Co., Ltd., 6 Taihe Road, BDA, Beijing, 100176, China
| | - Hongwen Du
- Drug Metabolism and Pharmacokinetics (DMPK) Department, Pharmaron Beijing Co., Ltd., 6 Taihe Road, BDA, Beijing, 100176, China
| | - Hongyu Zhou
- Drug Metabolism and Pharmacokinetics (DMPK) Department, Pharmaron Beijing Co., Ltd., 6 Taihe Road, BDA, Beijing, 100176, China
| | - Tao Wang
- Drug Metabolism and Pharmacokinetics (DMPK) Department, Pharmaron Beijing Co., Ltd., 6 Taihe Road, BDA, Beijing, 100176, China.
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27
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Lefranc MP, Lefranc G. IMGT/3Dstructure-DB: T-Cell Receptor TR Paratope and Peptide/Major Histocompatibility pMH Contact Sites and Epitope. METHODS IN MOLECULAR BIOLOGY (CLIFTON, N.J.) 2022; 2453:533-570. [PMID: 35622341 DOI: 10.1007/978-1-0716-2115-8_25] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
T-cell receptors (TR), the antigen receptors of T cells, specifically recognize peptides presented by the major histocompatibility (MH) proteins, as peptide/MH (pMH), on the cell surface. The structure characterization of the trimolecular TR/pMH complexes is crucial to the fields of immunology, vaccination, and immunotherapy. IMGT/3Dstructure-DB is the three-dimensional (3-D) structure database of IMGT®, the international ImMunoGenetics information system®. By its creation, IMGT® marks the advent of immunoinformatics, which emerged at the interface between immunogenetics and bioinformatics. The IMGT® immunoglobulin (IG) and TR gene and allele nomenclature (CLASSIFICATION axiom) and the IMGT unique numbering and IMGT/Collier-de-Perles (NUMEROTATION axiom) are the two founding breakthroughs of immunoinformatics. IMGT-ONTOLOGY concepts and IMGT Scientific chart rules generated from these axioms allowed IMGT® bridging genes, structures, and functions. IMGT/3Dstructure-DB contains 3-D structures of IG or antibodies, TR and MH proteins of the adaptive immune responses of jawed vertebrates (gnathostomata), IG or TR complexes with antigens (IG/Ag, TR/pMH), related proteins of the immune system of any species belonging to the IG and MH superfamilies, and fusion proteins for immune applications. The focus of this chapter is on the TR V domains and MH G domains and the contact analysis comparison in TR/pMH interactions. Standardized molecular characterization includes "IMGT pMH contact sites" for peptide and MH groove interactions and "IMGT paratopes and epitopes" for TR/pMH complexes. Data are available in the IMGT/3Dstructure database, at the IMGT Home page http://www.imgt.org .
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Affiliation(s)
- Marie-Paule Lefranc
- IMGT®, the international ImMunoGenetics information system®, Laboratoire d'ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine IGH, UMR 9002, CNRS, Université de Montpellier, Montpellier cedex 5, France.
| | - Gérard Lefranc
- IMGT®, the international ImMunoGenetics information system®, Laboratoire d'ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine IGH, UMR 9002, CNRS, Université de Montpellier, Montpellier cedex 5, France.
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28
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Yuan M, Wang Y, Lv H, Wilson IA, Wu NC. Molecular analysis of a public cross-neutralizing antibody response to SARS-CoV-2. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2022:2022.05.17.492220. [PMID: 35611339 PMCID: PMC9128778 DOI: 10.1101/2022.05.17.492220] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
Abstract
As SARS-CoV-2 variants of concerns (VOCs) continue to emerge, cross-neutralizing antibody responses become key towards next-generation design of a more universal COVID-19 vaccine. By analyzing published data from the literature, we report here that the combination of germline genes IGHV2-5/IGLV2-14 represents a public antibody response to the receptor-binding domain (RBD) that potently cross-neutralizes all VOCs to date, including Omicron and its sub-lineages. Detailed molecular analysis shows that the complementarity-determining region H3 sequences of IGHV2-5/IGLV2-14-encoded RBD antibodies have a preferred length of 11 amino acids and a conserved HxIxxI motif. In addition, these antibodies have a strong allelic preference due to an allelic polymorphism at amino-acid residue 54 of IGHV2-5, which locates at the paratope. These findings have important implications for understanding cross-neutralizing antibody responses to SARS-CoV-2 and its heterogenicity at the population level as well as the development of a universal COVID-19 vaccine.
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Affiliation(s)
- Meng Yuan
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Yiquan Wang
- Department of Biochemistry, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Huibin Lv
- Department of Biochemistry, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
- HKU-Pasteur Research Pole, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Ian A. Wilson
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
- The Skaggs Institute for Chemical Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Nicholas C. Wu
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
- Center for Biophysics and Quantitative Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
- Carle Illinois College of Medicine, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
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Gender dimorphism in IgA subclasses in T2-high asthma. Clin Exp Med 2022:10.1007/s10238-022-00828-x. [PMID: 35467314 DOI: 10.1007/s10238-022-00828-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Accepted: 03/25/2022] [Indexed: 02/06/2023]
Abstract
Immunoglobulin A (Chan in J Allergy Clin Immunol 134:1394-14014e4, 2014), the second most abundant immunoglobulin in serum, plays an important role in mucosal homeostasis. In human serum, there are two subclasses of IgA, IgA1 (≅ 90%) and IgA2 (≅ 10%), transcribed from two distinct heavy chain constant regions. This study evaluated the serum concentrations of total IgA, IgA1, and IgA2, and total IgG, IgG1, IgG2, IgG3, and IgG4 in T2-high asthmatics compared to healthy controls and the presence of gender-related variations of immunoglobulins. Total IgA levels were increased in asthmatics compared to controls. Even more marked was the increase in total IgA in male asthmatics compared to healthy male donors. IgA1 were increased only in male, but not in female asthmatics, compared to controls. Concentrations of IgG2, but not IgG1, IgG3, and IgG4, were reduced in asthmatics compared to controls. IgG4 levels were reduced in female compared to male asthmatics. In female asthmatics, IgA and IgA1 levels were increased in postmenopause compared to premenopause. IgA concentrations were augmented in mild, but not severe asthmatics. A positive correlation was found between IgA levels and the age of patients and an inverse correlation between serum concentrations of IgA2 and IgE in asthmatics. A positive correlation between total IgA or IgA2 and IgG2 was found in asthmatics. These results highlight a gender dimorphism in IgA subclasses in male and female T2-high asthmatics. More adequate consideration of immunological gender disparity in asthma may open new opportunities in personalized medicine by optimizing diagnosis and targeted therapy.
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Vishwakarma P, Vattekatte AM, Shinada N, Diharce J, Martins C, Cadet F, Gardebien F, Etchebest C, Nadaradjane AA, de Brevern AG. V HH Structural Modelling Approaches: A Critical Review. Int J Mol Sci 2022; 23:3721. [PMID: 35409081 PMCID: PMC8998791 DOI: 10.3390/ijms23073721] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Revised: 03/23/2022] [Accepted: 03/23/2022] [Indexed: 12/20/2022] Open
Abstract
VHH, i.e., VH domains of camelid single-chain antibodies, are very promising therapeutic agents due to their significant physicochemical advantages compared to classical mammalian antibodies. The number of experimentally solved VHH structures has significantly improved recently, which is of great help, because it offers the ability to directly work on 3D structures to humanise or improve them. Unfortunately, most VHHs do not have 3D structures. Thus, it is essential to find alternative ways to get structural information. The methods of structure prediction from the primary amino acid sequence appear essential to bypass this limitation. This review presents the most extensive overview of structure prediction methods applied for the 3D modelling of a given VHH sequence (a total of 21). Besides the historical overview, it aims at showing how model software programs have been shaping the structural predictions of VHHs. A brief explanation of each methodology is supplied, and pertinent examples of their usage are provided. Finally, we present a structure prediction case study of a recently solved VHH structure. According to some recent studies and the present analysis, AlphaFold 2 and NanoNet appear to be the best tools to predict a structural model of VHH from its sequence.
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Affiliation(s)
- Poonam Vishwakarma
- INSERM UMR_S 1134, BIGR, DSIMB Team, Université de Paris and Université de la Réunion, F-75015 Paris, France; (P.V.); (A.M.V.); (J.D.); (C.M.); (C.E.); (A.A.N.)
- INSERM UMR_S 1134, BIGR, DSIMB Team, Université de Paris and Université de la Réunion, F-97715 Saint Denis Messag, France; (F.C.); (F.G.)
| | - Akhila Melarkode Vattekatte
- INSERM UMR_S 1134, BIGR, DSIMB Team, Université de Paris and Université de la Réunion, F-75015 Paris, France; (P.V.); (A.M.V.); (J.D.); (C.M.); (C.E.); (A.A.N.)
- INSERM UMR_S 1134, BIGR, DSIMB Team, Université de Paris and Université de la Réunion, F-97715 Saint Denis Messag, France; (F.C.); (F.G.)
| | | | - Julien Diharce
- INSERM UMR_S 1134, BIGR, DSIMB Team, Université de Paris and Université de la Réunion, F-75015 Paris, France; (P.V.); (A.M.V.); (J.D.); (C.M.); (C.E.); (A.A.N.)
| | - Carla Martins
- INSERM UMR_S 1134, BIGR, DSIMB Team, Université de Paris and Université de la Réunion, F-75015 Paris, France; (P.V.); (A.M.V.); (J.D.); (C.M.); (C.E.); (A.A.N.)
- INSERM UMR_S 1134, BIGR, DSIMB Team, Université de Paris and Université de la Réunion, F-97715 Saint Denis Messag, France; (F.C.); (F.G.)
| | - Frédéric Cadet
- INSERM UMR_S 1134, BIGR, DSIMB Team, Université de Paris and Université de la Réunion, F-97715 Saint Denis Messag, France; (F.C.); (F.G.)
- PEACCEL, Artificial Intelligence Department, Square Albin Cachot, F-75013 Paris, France
| | - Fabrice Gardebien
- INSERM UMR_S 1134, BIGR, DSIMB Team, Université de Paris and Université de la Réunion, F-97715 Saint Denis Messag, France; (F.C.); (F.G.)
| | - Catherine Etchebest
- INSERM UMR_S 1134, BIGR, DSIMB Team, Université de Paris and Université de la Réunion, F-75015 Paris, France; (P.V.); (A.M.V.); (J.D.); (C.M.); (C.E.); (A.A.N.)
| | - Aravindan Arun Nadaradjane
- INSERM UMR_S 1134, BIGR, DSIMB Team, Université de Paris and Université de la Réunion, F-75015 Paris, France; (P.V.); (A.M.V.); (J.D.); (C.M.); (C.E.); (A.A.N.)
- INSERM UMR_S 1134, BIGR, DSIMB Team, Université de Paris and Université de la Réunion, F-97715 Saint Denis Messag, France; (F.C.); (F.G.)
| | - Alexandre G. de Brevern
- INSERM UMR_S 1134, BIGR, DSIMB Team, Université de Paris and Université de la Réunion, F-75015 Paris, France; (P.V.); (A.M.V.); (J.D.); (C.M.); (C.E.); (A.A.N.)
- INSERM UMR_S 1134, BIGR, DSIMB Team, Université de Paris and Université de la Réunion, F-97715 Saint Denis Messag, France; (F.C.); (F.G.)
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IMGT® Biocuration and Analysis of the Rhesus Monkey IG Loci. Vaccines (Basel) 2022; 10:vaccines10030394. [PMID: 35335026 PMCID: PMC8950363 DOI: 10.3390/vaccines10030394] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Revised: 02/25/2022] [Accepted: 02/25/2022] [Indexed: 11/29/2022] Open
Abstract
The adaptive immune system, along with the innate immune system, are the two main biological processes that protect an organism from pathogens. The adaptive immune system is characterized by the specificity and extreme diversity of its antigen receptors. These antigen receptors are the immunoglobulins (IG) or antibodies of the B cells and the T cell receptors (TR) of the T cells. The IG are proteins that have a dual role in immunity: they recognize antigens and trigger elimination mechanisms, to rid the body of foreign cells. The synthesis of the immunoglobulin heavy and light chains requires gene rearrangements at the DNA level in the IGH, IGK, and IGL loci. The rhesus monkey (Macaca mulatta) is one of the most widely used nonhuman primate species in biomedical research. In this manuscript, we provide a thorough analysis of the three IG loci of the Mmul_10 assembly of rhesus monkey, integrating IMGT previously existing data. Detailed characterization of IG genes includes their localization and position in the loci, the determination of the allele functionality, and the description of the regulatory elements of their promoters as well as the sequences of the conventional recombination signals (RS). This complete annotation of the genomic IG loci of Mmul_10 assembly and the highly detailed IG gene characterization could be used as a model, in additional rhesus monkey assemblies, for the analysis of the IG allelic polymorphism and structural variation, which have been described in rhesus monkeys.
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Lefranc MP, Lefranc G. IMGT ®Homo sapiens IG and TR Loci, Gene Order, CNV and Haplotypes: New Concepts as a Paradigm for Jawed Vertebrates Genome Assemblies. Biomolecules 2022; 12:381. [PMID: 35327572 PMCID: PMC8945572 DOI: 10.3390/biom12030381] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Revised: 02/21/2022] [Accepted: 02/24/2022] [Indexed: 02/04/2023] Open
Abstract
IMGT®, the international ImMunoGeneTics information system®, created in 1989, by Marie-Paule Lefranc (Université de Montpellier and CNRS), marked the advent of immunoinformatics, a new science which emerged at the interface between immunogenetics and bioinformatics for the study of the adaptive immune responses. IMGT® is based on a standardized nomenclature of the immunoglobulin (IG) and T cell receptor (TR) genes and alleles from fish to humans and on the IMGT unique numbering for the variable (V) and constant (C) domains of the immunoglobulin superfamily (IgSF) of vertebrates and invertebrates, and for the groove (G) domain of the major histocompatibility (MH) and MH superfamily (MhSF) proteins. IMGT® comprises 7 databases, 17 tools and more than 25,000 pages of web resources for sequences, genes and structures, based on the IMGT Scientific chart rules generated from the IMGT-ONTOLOGY axioms and concepts. IMGT® reference directories are used for the analysis of the NGS high-throughput expressed IG and TR repertoires (natural, synthetic and/or bioengineered) and for bridging sequences, two-dimensional (2D) and three-dimensional (3D) structures. This manuscript focuses on the IMGT®Homo sapiens IG and TR loci, gene order, copy number variation (CNV) and haplotypes new concepts, as a paradigm for jawed vertebrates genome assemblies.
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Affiliation(s)
- Marie-Paule Lefranc
- IMGT®, The International ImMunoGeneTics Information System®, Laboratoire d’Immuno Génétique Moléculaire (LIGM), Institut de Génétique Humaine (IGH), Université de Montpellier (UM), Centre National de la Recherche Scientifique (CNRS), UMR 9002 CNRS-UM, 141 rue de la Cardonille, CEDEX 5, 34396 Montpellier, France
| | - Gérard Lefranc
- IMGT®, The International ImMunoGeneTics Information System®, Laboratoire d’Immuno Génétique Moléculaire (LIGM), Institut de Génétique Humaine (IGH), Université de Montpellier (UM), Centre National de la Recherche Scientifique (CNRS), UMR 9002 CNRS-UM, 141 rue de la Cardonille, CEDEX 5, 34396 Montpellier, France
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Berghaus N, Schreiner S, Granzow M, Müller-Tidow C, Hegenbart U, Schönland SO, Huhn S. Analysis of the complete lambda light chain germline usage in patients with AL amyloidosis and dominant heart or kidney involvement. PLoS One 2022; 17:e0264407. [PMID: 35213605 PMCID: PMC8880859 DOI: 10.1371/journal.pone.0264407] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Accepted: 02/10/2022] [Indexed: 12/20/2022] Open
Abstract
Light chain amyloidosis is one of the most common forms of systemic amyloidosis. The disease is caused by the misfolding and aggregation of immunoglobulin light chains to insoluble fibrils. These fibrils can deposit in different tissues and organs such as heart and kidney and cause organ impairments that define the clinical presentation. In this study, we present an overview of IGLV-IGLJ and IGLC germline utilization in 85 patients classified in three clinically important subgroups with dominant cardiac, renal as well as cardiac and renal involvement. We found that IGLV3 was the most frequently detected IGLV-family in patients with dominant cardiac involvement, whereas in renal patients IGLV1 were most frequently identified. For patients with dominant heart and kidney involvement IGLV6 was the most frequently detected IGLV-family. In more detailed analysis IGLV3-21 was observed as the most dominant IGLV-subfamily for patients with dominant heart involvement and IGLV1-44 as the most frequent IGLV-subfamily in the group of patients with dominant kidney involvement. For patients with dominant heart and kidney involvement IGLV6-57 was the most frequently detected IGLV-subfamily. Additionally, we were able to show an exclusive linkage between IGLJ1 and IGLC1 as well as between IGLJ2 and IGLC2 in the fully assembled IGL mRNA.
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Affiliation(s)
- Natalie Berghaus
- Medical Department V, Amyloidosis Center, Heidelberg University Hospital, Heidelberg, Germany
| | - Sarah Schreiner
- Medical Department V, Amyloidosis Center, Heidelberg University Hospital, Heidelberg, Germany
| | - Martin Granzow
- Institute of Human Genetics, Heidelberg University Hospital, Heidelberg, Germany
| | - Carsten Müller-Tidow
- Medical Department V, Heidelberg University Hospital, Heidelberg, Germany
- National Centre for Tumor Diseases (NCT), Heidelberg, Germany
| | - Ute Hegenbart
- Medical Department V, Amyloidosis Center, Heidelberg University Hospital, Heidelberg, Germany
| | - Stefan O. Schönland
- Medical Department V, Amyloidosis Center, Heidelberg University Hospital, Heidelberg, Germany
| | - Stefanie Huhn
- Medical Department V, Section of Multiple Myeloma, Heidelberg University Hospital, Heidelberg, Germany
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Treger RS, Fink SL. Beyond Titer: Expanding the Scope of Clinical Autoantibody Testing. J Appl Lab Med 2022; 7:99-113. [DOI: 10.1093/jalm/jfab123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Accepted: 09/17/2021] [Indexed: 11/14/2022]
Abstract
Abstract
Background
Autoantibodies that bind self-antigens are a hallmark of autoimmune diseases, but can also be present in healthy individuals. Clinical assays that detect and titer antigen-specific autoantibodies are an important component of the diagnosis and monitoring of autoimmune diseases. Autoantibodies may contribute to disease pathogenesis via effector functions that are dictated by both the antigen-binding site and constant domain.
Content
In this review, we discuss features of antibodies, in addition to antigen-binding specificity, which determine effector function. These features include class, subclass, allotype, and glycosylation. We discuss emerging data indicating that analysis of these antibody features may be informative for diagnosis and monitoring of autoimmune diseases. We also consider methodologies to interrogate these features and consider how they could be implemented in the clinical laboratory.
Summary
Future autoantibody assays may incorporate assessment of additional antibody features that contribute to autoimmune disease pathogenesis and provide added clinical value.
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Affiliation(s)
- Rebecca S Treger
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA
| | - Susan L Fink
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA
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35
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Giudicelli V, Duroux P, Rollin M, Aouinti S, Folch G, Jabado-Michaloud J, Lefranc MP, Kossida S. IMGT ® Immunoinformatics Tools for Standardized V-DOMAIN Analysis. Methods Mol Biol 2022; 2453:477-531. [PMID: 35622340 PMCID: PMC9761511 DOI: 10.1007/978-1-0716-2115-8_24] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
The variable domains (V-DOMAIN) of the antigen receptors, immunoglobulins (IG) or antibodies and T cell receptors (TR), which specifically recognize the antigens show a huge diversity in their sequences. This diversity results from the complex mechanisms involved in the synthesis of these domains at the DNA level (rearrangements of the variable (V), diversity (D), and joining (J) genes; N-diversity; and, for the IG, somatic hypermutations). The recognition of V, D, and J as "genes" and their entry in databases mark the creation of IMGT by Marie-Paule Lefranc, and the origin of immunoinformatics in 1989. For 30 years, IMGT®, the international ImMunoGeneTics information system® http://www.imgt.org , has implemented databases and developed tools for IG and TR immunoinformatics, based on the IMGT Scientific chart rules and IMGT-ONTOLOGY concepts and axioms, and more particularly, the princeps ones: IMGT genes and alleles (CLASSIFICATION axiom) and the IMGT unique numbering and IMGT Collier de Perles (NUMEROTATION axiom). This chapter describes the online tools for the characterization and annotation of the expressed V-DOMAIN sequences: (a) IMGT/V-QUEST analyzes in detail IG and TR rearranged nucleotide sequences, (b) IMGT/HighV-QUEST is its high throughput version, which includes a module for the identification of IMGT clonotypes and generates immunoprofiles of expressed V, D, and J genes and alleles, (c) IMGT/StatClonotype performs the pairwise comparison of IMGT/HighV-QUEST immunoprofiles, (d) IMGT/DomainGapAlign analyzes amino acid sequences and is frequently used in antibody engineering and humanization, and (e) IMGT/Collier-de-Perles provides two-dimensional (2D) graphical representations of V-DOMAIN, bridging the gap between sequences and 3D structures. These IMGT® tools are widely used in repertoire analyses of the adaptive immune responses in normal and pathological situations and in the design of engineered IG and TR for therapeutic applications.
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Affiliation(s)
- Véronique Giudicelli
- IMGT®, the international ImMunoGenetics information system®, Laboratoire d'ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine, (IGH), Centre National de la Recherche Scientifique (CNRS), Université de Montpellier (UM), Montpellier, France.
| | - Patrice Duroux
- IMGT®, the international ImMunoGenetics information system®, Laboratoire d'ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine, (IGH), Centre National de la Recherche Scientifique (CNRS), Université de Montpellier (UM), Montpellier, France
| | - Maël Rollin
- IMGT®, the international ImMunoGenetics information system®, Laboratoire d'ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine, (IGH), Centre National de la Recherche Scientifique (CNRS), Université de Montpellier (UM), Montpellier, France
| | - Safa Aouinti
- IMGT®, the international ImMunoGenetics information system®, Laboratoire d'ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine, (IGH), Centre National de la Recherche Scientifique (CNRS), Université de Montpellier (UM), Montpellier, France
- Clinical Research and Epidemiology Unit, CHU Montpellier, Univ Montpellier, Montpellier, France
| | - Géraldine Folch
- IMGT®, the international ImMunoGenetics information system®, Laboratoire d'ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine, (IGH), Centre National de la Recherche Scientifique (CNRS), Université de Montpellier (UM), Montpellier, France
| | - Joumana Jabado-Michaloud
- IMGT®, the international ImMunoGenetics information system®, Laboratoire d'ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine, (IGH), Centre National de la Recherche Scientifique (CNRS), Université de Montpellier (UM), Montpellier, France
| | - Marie-Paule Lefranc
- IMGT®, the international ImMunoGenetics information system®, Laboratoire d'ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine, (IGH), Centre National de la Recherche Scientifique (CNRS), Université de Montpellier (UM), Montpellier, France.
| | - Sofia Kossida
- IMGT®, the international ImMunoGenetics information system®, Laboratoire d'ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine, (IGH), Centre National de la Recherche Scientifique (CNRS), Université de Montpellier (UM), Montpellier, France
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36
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de Graaf SC, Hoek M, Tamara S, Heck AJR. A perspective toward mass spectrometry-based de novo sequencing of endogenous antibodies. MAbs 2022; 14:2079449. [PMID: 35699511 PMCID: PMC9225641 DOI: 10.1080/19420862.2022.2079449] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
A key step in therapeutic and endogenous humoral antibody characterization is identifying the amino acid sequence. So far, this task has been mainly tackled through sequencing of B-cell receptor (BCR) repertoires at the nucleotide level. Mass spectrometry (MS) has emerged as an alternative tool for obtaining sequence information directly at the – most relevant – protein level. Although several MS methods are now well established, analysis of recombinant and endogenous antibodies comes with a specific set of challenges, requiring approaches beyond the conventional proteomics workflows. Here, we review the challenges in MS-based sequencing of both recombinant as well as endogenous humoral antibodies and outline state-of-the-art methods attempting to overcome these obstacles. We highlight recent examples and discuss remaining challenges. We foresee a great future for these approaches making de novo antibody sequencing and discovery by MS-based techniques feasible, even for complex clinical samples from endogenous sources such as serum and other liquid biopsies.
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Affiliation(s)
- Sebastiaan C de Graaf
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, University of Utrecht, Utrecht, Netherlands.,Netherlands Proteomics Center, Utrecht, Netherlands
| | - Max Hoek
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, University of Utrecht, Utrecht, Netherlands.,Netherlands Proteomics Center, Utrecht, Netherlands
| | - Sem Tamara
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, University of Utrecht, Utrecht, Netherlands.,Netherlands Proteomics Center, Utrecht, Netherlands
| | - Albert J R Heck
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, University of Utrecht, Utrecht, Netherlands.,Netherlands Proteomics Center, Utrecht, Netherlands
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37
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Manso T, Folch G, Giudicelli V, Jabado-Michaloud J, Kushwaha A, Nguefack Ngoune V, Georga M, Papadaki A, Debbagh C, Pégorier P, Bertignac M, Hadi-Saljoqi S, Chentli I, Cherouali K, Aouinti S, El Hamwi A, Albani A, Elazami Elhassani M, Viart B, Goret A, Tran A, Sanou G, Rollin M, Duroux P, Kossida S. IMGT® databases, related tools and web resources through three main axes of research and development. Nucleic Acids Res 2021; 50:D1262-D1272. [PMID: 34875068 PMCID: PMC8728119 DOI: 10.1093/nar/gkab1136] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Revised: 10/26/2021] [Accepted: 11/28/2021] [Indexed: 11/15/2022] Open
Abstract
IMGT®, the international ImMunoGeneTics information system®, http://www.imgt.org/, is at the forefront of the immunogenetics and immunoinformatics fields with more than 30 years of experience. IMGT® makes available databases and tools to the scientific community pertaining to the adaptive immune response, based on the IMGT-ONTOLOGY. We focus on the recent features of the IMGT® databases, tools, reference directories and web resources, within the three main axes of IMGT® research and development. Axis I consists in understanding the adaptive immune response, by deciphering the identification and characterization of the immunoglobulin (IG) and T cell receptor (TR) genes in jawed vertebrates. It is the starting point of the two other axes, namely the analysis and exploration of the expressed IG and TR repertoires based on comparison with IMGT reference directories in normal and pathological situations (Axis II) and the analysis of amino acid changes and functions of 2D and 3D structures of antibody and TR engineering (Axis III).
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Affiliation(s)
- Taciana Manso
- IMGT®, the international ImMunoGeneTics Information System®, Scientific Research National Center (CNRS), Institute of Human Genetics (IGH), University of Montpellier (UM), Montpellier, France
| | - Géraldine Folch
- IMGT®, the international ImMunoGeneTics Information System®, Scientific Research National Center (CNRS), Institute of Human Genetics (IGH), University of Montpellier (UM), Montpellier, France
| | - Véronique Giudicelli
- IMGT®, the international ImMunoGeneTics Information System®, Scientific Research National Center (CNRS), Institute of Human Genetics (IGH), University of Montpellier (UM), Montpellier, France
| | - Joumana Jabado-Michaloud
- IMGT®, the international ImMunoGeneTics Information System®, Scientific Research National Center (CNRS), Institute of Human Genetics (IGH), University of Montpellier (UM), Montpellier, France
| | - Anjana Kushwaha
- IMGT®, the international ImMunoGeneTics Information System®, Scientific Research National Center (CNRS), Institute of Human Genetics (IGH), University of Montpellier (UM), Montpellier, France
| | - Viviane Nguefack Ngoune
- IMGT®, the international ImMunoGeneTics Information System®, Scientific Research National Center (CNRS), Institute of Human Genetics (IGH), University of Montpellier (UM), Montpellier, France
| | - Maria Georga
- IMGT®, the international ImMunoGeneTics Information System®, Scientific Research National Center (CNRS), Institute of Human Genetics (IGH), University of Montpellier (UM), Montpellier, France
| | - Ariadni Papadaki
- IMGT®, the international ImMunoGeneTics Information System®, Scientific Research National Center (CNRS), Institute of Human Genetics (IGH), University of Montpellier (UM), Montpellier, France
| | - Chahrazed Debbagh
- IMGT®, the international ImMunoGeneTics Information System®, Scientific Research National Center (CNRS), Institute of Human Genetics (IGH), University of Montpellier (UM), Montpellier, France
| | - Perrine Pégorier
- IMGT®, the international ImMunoGeneTics Information System®, Scientific Research National Center (CNRS), Institute of Human Genetics (IGH), University of Montpellier (UM), Montpellier, France
| | - Morgane Bertignac
- IMGT®, the international ImMunoGeneTics Information System®, Scientific Research National Center (CNRS), Institute of Human Genetics (IGH), University of Montpellier (UM), Montpellier, France
| | - Saida Hadi-Saljoqi
- IMGT®, the international ImMunoGeneTics Information System®, Scientific Research National Center (CNRS), Institute of Human Genetics (IGH), University of Montpellier (UM), Montpellier, France
| | - Imène Chentli
- IMGT®, the international ImMunoGeneTics Information System®, Scientific Research National Center (CNRS), Institute of Human Genetics (IGH), University of Montpellier (UM), Montpellier, France
| | - Karima Cherouali
- IMGT®, the international ImMunoGeneTics Information System®, Scientific Research National Center (CNRS), Institute of Human Genetics (IGH), University of Montpellier (UM), Montpellier, France
| | - Safa Aouinti
- IMGT®, the international ImMunoGeneTics Information System®, Scientific Research National Center (CNRS), Institute of Human Genetics (IGH), University of Montpellier (UM), Montpellier, France
| | - Amar El Hamwi
- IMGT®, the international ImMunoGeneTics Information System®, Scientific Research National Center (CNRS), Institute of Human Genetics (IGH), University of Montpellier (UM), Montpellier, France
| | - Alexandre Albani
- IMGT®, the international ImMunoGeneTics Information System®, Scientific Research National Center (CNRS), Institute of Human Genetics (IGH), University of Montpellier (UM), Montpellier, France
| | - Merouane Elazami Elhassani
- IMGT®, the international ImMunoGeneTics Information System®, Scientific Research National Center (CNRS), Institute of Human Genetics (IGH), University of Montpellier (UM), Montpellier, France
| | - Benjamin Viart
- IMGT®, the international ImMunoGeneTics Information System®, Scientific Research National Center (CNRS), Institute of Human Genetics (IGH), University of Montpellier (UM), Montpellier, France
| | - Agathe Goret
- IMGT®, the international ImMunoGeneTics Information System®, Scientific Research National Center (CNRS), Institute of Human Genetics (IGH), University of Montpellier (UM), Montpellier, France
| | - Anna Tran
- IMGT®, the international ImMunoGeneTics Information System®, Scientific Research National Center (CNRS), Institute of Human Genetics (IGH), University of Montpellier (UM), Montpellier, France
| | - Gaoussou Sanou
- IMGT®, the international ImMunoGeneTics Information System®, Scientific Research National Center (CNRS), Institute of Human Genetics (IGH), University of Montpellier (UM), Montpellier, France
| | - Maël Rollin
- IMGT®, the international ImMunoGeneTics Information System®, Scientific Research National Center (CNRS), Institute of Human Genetics (IGH), University of Montpellier (UM), Montpellier, France
| | - Patrice Duroux
- IMGT®, the international ImMunoGeneTics Information System®, Scientific Research National Center (CNRS), Institute of Human Genetics (IGH), University of Montpellier (UM), Montpellier, France
| | - Sofia Kossida
- IMGT®, the international ImMunoGeneTics Information System®, Scientific Research National Center (CNRS), Institute of Human Genetics (IGH), University of Montpellier (UM), Montpellier, France
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38
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Lee A, Yoo DK, Lee Y, Jeon S, Jung S, Noh J, Ju S, Hwang S, Kim HH, Kwon S, Chung J, Choi Y. Induction of Anti-Aquaporin 5 Autoantibody Production by Immunization with a Peptide Derived from the Aquaporin of Prevotella melaninogenica Leads to Reduced Salivary Flow in Mice. Immune Netw 2021; 21:e34. [PMID: 34796038 PMCID: PMC8568913 DOI: 10.4110/in.2021.21.e34] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Revised: 09/19/2021] [Accepted: 10/14/2021] [Indexed: 12/12/2022] Open
Abstract
Sjögren's syndrome (SS) is an autoimmune disease characterized by dryness of the mouth and eyes. The glandular dysfunction in SS involves not only T cell-mediated destruction of the glands but also autoantibodies against the type 3 muscarinic acetylcholine receptor or aquaporin 5 (AQP5) that interfere with the secretion process. Studies on the breakage of tolerance and induction of autoantibodies to these autoantigens could benefit SS patients. To break tolerance, we utilized a PmE-L peptide derived from the AQP5-homologous aquaporin of Prevotella melaninogenica (PmAqp) that contained both a B cell "E" epitope and a T cell epitope. Repeated subcutaneous immunization of C57BL/6 mice with the PmE-L peptide efficiently induced the production of Abs against the "E" epitope of mouse/human AQP5 (AQP5E), and we aimed to characterize the antigen specificity, the sequences of AQP5E-specific B cell receptors, and salivary gland phenotypes of these mice. Sera containing anti-AQP5E IgG not only stained mouse Aqp5 expressed in the submandibular glands but also detected PmApq and PmE-L by immunoblotting, suggesting molecular mimicry. Characterization of the AQP5E-specific autoantibodies selected from the screening of phage display Ab libraries and mapping of the B cell receptor repertoires revealed that the AQP5E-specific B cells acquired the ability to bind to the Ag through cumulative somatic hypermutation. Importantly, animals with anti-AQP5E Abs had decreased salivary flow rates without immune cell infiltration into the salivary glands. This model will be useful for investigating the role of anti-AQP5 autoantibodies in glandular dysfunction in SS and testing new therapeutics targeting autoantibody production.
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Affiliation(s)
- Ahreum Lee
- Department of Immunology and Molecular Microbiology, School of Dentistry and Dental Research Institute, Seoul National University, Seoul 03080, Korea
| | - Duck Kyun Yoo
- Department of Biochemistry and Molecular Biology, Seoul National University College of Medicine, Seoul 03080, Korea.,Department of Biomedical Science, Seoul National University College of Medicine, Seoul 03080, Korea
| | - Yonghee Lee
- Department of Electrical and Computer Engineering, Seoul National University, Seoul 08826, Korea
| | - Sumin Jeon
- Department of Immunology and Molecular Microbiology, School of Dentistry and Dental Research Institute, Seoul National University, Seoul 03080, Korea
| | - Suhan Jung
- Department of Cell and Developmental Biology, School of Dentistry and Dental Research Institute, Seoul National University, Seoul 08826, Korea
| | - Jinsung Noh
- Department of Electrical and Computer Engineering, Seoul National University, Seoul 08826, Korea
| | - Soyeon Ju
- Department of Biochemistry and Molecular Biology, Seoul National University College of Medicine, Seoul 03080, Korea.,Department of Biomedical Science, Seoul National University College of Medicine, Seoul 03080, Korea
| | - Siwon Hwang
- Department of Biochemistry and Molecular Biology, Seoul National University College of Medicine, Seoul 03080, Korea.,Department of Biomedical Science, Seoul National University College of Medicine, Seoul 03080, Korea
| | - Hong Hee Kim
- Department of Cell and Developmental Biology, School of Dentistry and Dental Research Institute, Seoul National University, Seoul 08826, Korea
| | - Sunghoon Kwon
- Department of Electrical and Computer Engineering, Seoul National University, Seoul 08826, Korea.,Interdisciplinary Program in Bioengineering, Seoul National University, Seoul 08826, Korea.,BK21+ Creative Research Engineer Development for IT, Seoul National University, Seoul 08826, Korea.,Biomedical Research Institute, Seoul National University Hospital, Seoul 03080, Korea.,Institutes of Entrepreneurial BioConvergence, Seoul National University, Seoul 08826, Korea
| | - Junho Chung
- Department of Biochemistry and Molecular Biology, Seoul National University College of Medicine, Seoul 03080, Korea.,Department of Biomedical Science, Seoul National University College of Medicine, Seoul 03080, Korea.,Cancer Research Institute, Seoul National University College of Medicine, Seoul 03080, Korea
| | - Youngnim Choi
- Department of Immunology and Molecular Microbiology, School of Dentistry and Dental Research Institute, Seoul National University, Seoul 03080, Korea
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39
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Edholm ES, Fenton CG, Mondot S, Paulssen RH, Lefranc MP, Boudinot P, Magadan S. Profiling the T Cell Receptor Alpha/Delta Locus in Salmonids. Front Immunol 2021; 12:753960. [PMID: 34733285 PMCID: PMC8559430 DOI: 10.3389/fimmu.2021.753960] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Accepted: 09/28/2021] [Indexed: 12/17/2022] Open
Abstract
In jawed vertebrates, two major T cell populations have been characterized. They are defined as α/β or γ/δ T cells, based on the expressed T cell receptor. Salmonids (family Salmonidae) include two key teleost species for aquaculture, rainbow trout (Oncorhynchus mykiss) and Atlantic salmon (Salmo salar) which constitute important models for fish immunology and important targets for vaccine development. The growing interest to decipher the dynamics of adaptive immune responses against pathogens or vaccines has resulted in recent efforts to sequence the immunoglobulin (IG) or antibodies and T cell receptor (TR) repertoire in these species. In this context, establishing a comprehensive and coherent locus annotation is the fundamental basis for the analysis of high-throughput repertoire sequencing data. We therefore decided to revisit the description and annotation of TRA/TRD locus in Atlantic salmon and two strains of rainbow trout (Swanson and Arlee) using the now available high-quality genome assemblies. Phylogenetic analysis of functional TRA/TRD V genes from these three genomes led to the definition of 25 subgroups shared by both species, some with particular feature. A total of 128 TRAJ genes were identified in Salmo, the majority with a close counterpart in Oncorhynchus. Analysis of expressed TRA repertoire indicates that most TRAV gene subgroups are expressed at mucosal and systemic level. The present work on TRA/TRD locus annotation along with the analysis of TRA repertoire sequencing data show the feasibility and advantages of a common salmonid TRA/TRD nomenclature that allows an accurate annotation and analysis of high-throughput sequencing results, across salmonid T cell subsets.
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Affiliation(s)
- Eva-Stina Edholm
- Faculty of Biosciences, Fisheries & Economics, Norwegian College of Fishery Science, University of Tromsø-The Arctic University of Norway, Tromsø, Norway
| | - Christopher Graham Fenton
- Clinical Bioinformatics Research Group, Genomics Support Centre Tromsø (GSCT), Department of Clinical Medicine, Faculty of Health Sciences, University of Tromsø - The Arctic University of Norway, Tromsø, Norway
| | - Stanislas Mondot
- Université Paris-Saclay, INRAE, AgroParisTech, Micalis Institute, Jouy-en-Josas, France.,GABI, INRA, AgroParisTech, Université Paris-Saclay, Jouy-en-Josas, France
| | - Ruth H Paulssen
- Clinical Bioinformatics Research Group, Genomics Support Centre Tromsø (GSCT), Department of Clinical Medicine, Faculty of Health Sciences, University of Tromsø - The Arctic University of Norway, Tromsø, Norway
| | - Marie-Paule Lefranc
- IMGT®, The International ImMunoGeneTics Information System (IMGT), Laboratoire d´ImmunoGénétique Moléculaire (LIGM), Institut de Génétique Humaine (IGH), CNRS, University of Montpellier, Montpellier Cedex, France
| | - Pierre Boudinot
- Université Paris Saclay, INRAE, UVSQ, Virologie et Immunologie Moléculaires, Jouy-en-Josas, France
| | - Susana Magadan
- Immunology Laboratory, Biomedical Research Center (CINBIO), University of Vigo, Vigo, Spain.,Galicia Sur Health Research Institute (IIS-GS), Hospital Alvaro Cunqueiro, Vigo, Spain
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40
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Aguiar VRC, Augusto DG, Castelli EC, Hollenbach JA, Meyer D, Nunes K, Petzl-Erler ML. An immunogenetic view of COVID-19. Genet Mol Biol 2021; 44:e20210036. [PMID: 34436508 PMCID: PMC8388242 DOI: 10.1590/1678-4685-gmb-2021-0036] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Accepted: 06/12/2021] [Indexed: 02/06/2023] Open
Abstract
Meeting the challenges brought by the COVID-19 pandemic requires an interdisciplinary approach. In this context, integrating knowledge of immune function with an understanding of how genetic variation influences the nature of immunity is a key challenge. Immunogenetics can help explain the heterogeneity of susceptibility and protection to the viral infection and disease progression. Here, we review the knowledge developed so far, discussing fundamental genes for triggering the innate and adaptive immune responses associated with a viral infection, especially with the SARS-CoV-2 mechanisms. We emphasize the role of the HLA and KIR genes, discussing what has been uncovered about their role in COVID-19 and addressing methodological challenges of studying these genes. Finally, we comment on questions that arise when studying admixed populations, highlighting the case of Brazil. We argue that the interplay between immunology and an understanding of genetic associations can provide an important contribution to our knowledge of COVID-19.
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Affiliation(s)
- Vitor R. C. Aguiar
- Universidade de São Paulo, Departamento de Genética e Biologia
Evolutiva, São Paulo, SP, Brazil
| | - Danillo G. Augusto
- University of California, UCSF Weill Institute for Neurosciences,
Department of Neurology, San Francisco, CA, USA
- Universidade Federal do Paraná, Departamento de Genética, Curitiba,
PR, Brazil
| | - Erick C. Castelli
- Universidade Estadual Paulista, Faculdade de Medicina de Botucatu,
Departamento de Patologia, Botucatu, SP, Brazil
| | - Jill A. Hollenbach
- University of California, UCSF Weill Institute for Neurosciences,
Department of Neurology, San Francisco, CA, USA
| | - Diogo Meyer
- Universidade de São Paulo, Departamento de Genética e Biologia
Evolutiva, São Paulo, SP, Brazil
| | - Kelly Nunes
- Universidade de São Paulo, Departamento de Genética e Biologia
Evolutiva, São Paulo, SP, Brazil
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41
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Lee Y, Yoo DK, Noh J, Ju S, Lee E, Lee H, Kwon S, Chung J. Amplification of a minimally biased antibody repertoire for in vitro display using a universal primer-based amplification method. J Immunol Methods 2021; 496:113089. [PMID: 34181966 DOI: 10.1016/j.jim.2021.113089] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Revised: 06/10/2021] [Accepted: 06/23/2021] [Indexed: 12/23/2022]
Abstract
Immune hosts are valuable sources for antibody discovery. To construct in vitro display antibody libraries from immune repertoires, singleplex or multiplex PCR amplification were employed using primers targeting multiple immunoglobulin genes. However, during this process, the B cell receptor repertoire is distorted due to interactions between multiple target genes and primers. To minimize this alternation, we devised a new method for harvesting immunoglobulin genes and tested its performance in rabbit variable heavy chain (VH) and variable kappa light chain (VK) genes. Double-stranded cDNA was synthesized using primers containing V/J gene-specific regions and universal sequence parts for in vitro display. VH and VK gene libraries were obtained through subsequent PCR amplification using primers with universal sequences. Next-generation sequencing analysis confirmed that universal PCR libraries had more diverse VH and VK clonotypes, and a less biased clonal distribution, than conventional singleplex or multiplex gene-specific PCR libraries.
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Affiliation(s)
- Yonghee Lee
- Department of Electrical and Computer Engineering, Seoul National University, Seoul 08826, Republic of Korea
| | - Duck Kyun Yoo
- Department of Biochemistry and Molecular Biology, Seoul National University College of Medicine, Seoul 03080, Republic of Korea; Department of Biomedical Science, Seoul National University College of Medicine, Seoul 03080, Republic of Korea
| | - Jinsung Noh
- Department of Electrical and Computer Engineering, Seoul National University, Seoul 08826, Republic of Korea
| | - Soyeon Ju
- Department of Biochemistry and Molecular Biology, Seoul National University College of Medicine, Seoul 03080, Republic of Korea; Department of Biomedical Science, Seoul National University College of Medicine, Seoul 03080, Republic of Korea
| | - Eunjae Lee
- Department of Biochemistry and Molecular Biology, Seoul National University College of Medicine, Seoul 03080, Republic of Korea; Department of Biomedical Science, Seoul National University College of Medicine, Seoul 03080, Republic of Korea
| | - Hyunho Lee
- Department of Electrical and Computer Engineering, Seoul National University, Seoul 08826, Republic of Korea
| | - Sunghoon Kwon
- Department of Electrical and Computer Engineering, Seoul National University, Seoul 08826, Republic of Korea; Interdisciplinary Program in Bioengineering, Seoul National University, Seoul, 08826, Republic of Korea; BK21+ Creative Research Engineer Development for IT, Seoul National University, Seoul 08826, Republic of Korea; Biomedical Research Institute, Seoul National University Hospital, Seoul, 03080, Republic of Korea; Institutes of Entrepreneurial BioConvergence, Seoul National University, Seoul, 08826, Republic of Korea.
| | - Junho Chung
- Department of Biochemistry and Molecular Biology, Seoul National University College of Medicine, Seoul 03080, Republic of Korea; Department of Biomedical Science, Seoul National University College of Medicine, Seoul 03080, Republic of Korea; Cancer Research Institute, Seoul National University College of Medicine, Seoul 03080, Republic of Korea.
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42
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Voss WN, Hou YJ, Johnson NV, Delidakis G, Kim JE, Javanmardi K, Horton AP, Bartzoka F, Paresi CJ, Tanno Y, Chou CW, Abbasi SA, Pickens W, George K, Boutz DR, Towers DM, McDaniel JR, Billick D, Goike J, Rowe L, Batra D, Pohl J, Lee J, Gangappa S, Sambhara S, Gadush M, Wang N, Person MD, Iverson BL, Gollihar JD, Dye JM, Herbert AS, Finkelstein IJ, Baric RS, McLellan JS, Georgiou G, Lavinder JJ, Ippolito GC. Prevalent, protective, and convergent IgG recognition of SARS-CoV-2 non-RBD spike epitopes. Science 2021; 372:1108-1112. [PMID: 33947773 PMCID: PMC8224265 DOI: 10.1126/science.abg5268] [Citation(s) in RCA: 189] [Impact Index Per Article: 47.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Accepted: 04/29/2021] [Indexed: 12/12/2022]
Abstract
The molecular composition and binding epitopes of the immunoglobulin G (IgG) antibodies that circulate in blood plasma after severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection are unknown. Proteomic deconvolution of the IgG repertoire to the spike glycoprotein in convalescent subjects revealed that the response is directed predominantly (>80%) against epitopes residing outside the receptor binding domain (RBD). In one subject, just four IgG lineages accounted for 93.5% of the response, including an amino (N)-terminal domain (NTD)-directed antibody that was protective against lethal viral challenge. Genetic, structural, and functional characterization of a multidonor class of "public" antibodies revealed an NTD epitope that is recurrently mutated among emerging SARS-CoV-2 variants of concern. These data show that "public" NTD-directed and other non-RBD plasma antibodies are prevalent and have implications for SARS-CoV-2 protection and antibody escape.
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MESH Headings
- Animals
- Antibodies, Monoclonal/blood
- Antibodies, Monoclonal/chemistry
- Antibodies, Monoclonal/immunology
- Antibodies, Neutralizing/blood
- Antibodies, Neutralizing/chemistry
- Antibodies, Neutralizing/immunology
- Antibodies, Viral/blood
- Antibodies, Viral/chemistry
- Antibodies, Viral/immunology
- Antibody Affinity
- COVID-19/immunology
- COVID-19/prevention & control
- Epitopes/immunology
- Humans
- Immune Evasion
- Immunoglobulin G/blood
- Immunoglobulin G/chemistry
- Immunoglobulin G/immunology
- Immunoglobulin Heavy Chains/immunology
- Immunoglobulin Variable Region/immunology
- Mice
- Mice, Inbred BALB C
- Mutation
- Protein Domains
- Proteomics
- SARS-CoV-2/genetics
- SARS-CoV-2/immunology
- Spike Glycoprotein, Coronavirus/chemistry
- Spike Glycoprotein, Coronavirus/genetics
- Spike Glycoprotein, Coronavirus/immunology
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Affiliation(s)
- William N Voss
- Department of Molecular Biosciences, The University of Texas at Austin, Austin, TX, USA
| | - Yixuan J Hou
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Nicole V Johnson
- Department of Molecular Biosciences, The University of Texas at Austin, Austin, TX, USA
| | - George Delidakis
- Department of Chemical Engineering, The University of Texas at Austin, Austin, TX, USA
| | - Jin Eyun Kim
- Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA
| | - Kamyab Javanmardi
- Department of Molecular Biosciences, The University of Texas at Austin, Austin, TX, USA
| | - Andrew P Horton
- Department of Molecular Biosciences, The University of Texas at Austin, Austin, TX, USA
| | - Foteini Bartzoka
- Department of Molecular Biosciences, The University of Texas at Austin, Austin, TX, USA
| | - Chelsea J Paresi
- Department of Chemistry, The University of Texas at Austin, Austin, TX, USA
| | - Yuri Tanno
- Department of Chemical Engineering, The University of Texas at Austin, Austin, TX, USA
| | - Chia-Wei Chou
- Department of Molecular Biosciences, The University of Texas at Austin, Austin, TX, USA
| | - Shawn A Abbasi
- U.S. Army Medical Research Institute of Infectious Diseases, Frederick, MD, USA
| | - Whitney Pickens
- Department of Molecular Biosciences, The University of Texas at Austin, Austin, TX, USA
| | - Katia George
- Department of Molecular Biosciences, The University of Texas at Austin, Austin, TX, USA
| | - Daniel R Boutz
- Department of Molecular Biosciences, The University of Texas at Austin, Austin, TX, USA
- CCDC Army Research Laboratory-South, The University of Texas at Austin, Austin, TX, USA
| | - Dalton M Towers
- Department of Chemical Engineering, The University of Texas at Austin, Austin, TX, USA
| | | | - Daniel Billick
- Department of Molecular Biosciences, The University of Texas at Austin, Austin, TX, USA
| | - Jule Goike
- Department of Molecular Biosciences, The University of Texas at Austin, Austin, TX, USA
| | - Lori Rowe
- Biotechnology Core Facility Branch, Division of Scientific Resources, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
- Tulane National Primate Research Center Department of Microbiology 18703 Three Rivers Road Covington, LA, USA
| | - Dhwani Batra
- Biotechnology Core Facility Branch, Division of Scientific Resources, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Jan Pohl
- Biotechnology Core Facility Branch, Division of Scientific Resources, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Justin Lee
- Biotechnology Core Facility Branch, Division of Scientific Resources, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Shivaprakash Gangappa
- Immunology and Pathogenesis Branch, Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Suryaprakash Sambhara
- Immunology and Pathogenesis Branch, Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Michelle Gadush
- Center for Biomedical Research Support, The University of Texas at Austin, Austin, TX, USA
| | - Nianshuang Wang
- Department of Molecular Biosciences, The University of Texas at Austin, Austin, TX, USA
| | - Maria D Person
- Center for Biomedical Research Support, The University of Texas at Austin, Austin, TX, USA
| | - Brent L Iverson
- Department of Chemistry, The University of Texas at Austin, Austin, TX, USA
| | - Jimmy D Gollihar
- Department of Molecular Biosciences, The University of Texas at Austin, Austin, TX, USA
- CCDC Army Research Laboratory-South, The University of Texas at Austin, Austin, TX, USA
- Department of Pathology and Genomic Medicine, Houston Methodist Research Institute, Houston Methodist Hospital, Houston, TX, USA
| | - John M Dye
- U.S. Army Medical Research Institute of Infectious Diseases, Frederick, MD, USA
| | - Andrew S Herbert
- U.S. Army Medical Research Institute of Infectious Diseases, Frederick, MD, USA
| | - Ilya J Finkelstein
- Department of Molecular Biosciences, The University of Texas at Austin, Austin, TX, USA
| | - Ralph S Baric
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Microbiology and Immunology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Jason S McLellan
- Department of Molecular Biosciences, The University of Texas at Austin, Austin, TX, USA
| | - George Georgiou
- Department of Molecular Biosciences, The University of Texas at Austin, Austin, TX, USA
- Department of Chemical Engineering, The University of Texas at Austin, Austin, TX, USA
- Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA
- Department of Oncology, Dell Medical School, The University of Texas at Austin, Austin, TX, USA
| | - Jason J Lavinder
- Department of Molecular Biosciences, The University of Texas at Austin, Austin, TX, USA.
- Department of Chemical Engineering, The University of Texas at Austin, Austin, TX, USA
| | - Gregory C Ippolito
- Department of Molecular Biosciences, The University of Texas at Austin, Austin, TX, USA.
- Department of Pathology and Genomic Medicine, Houston Methodist Research Institute, Houston Methodist Hospital, Houston, TX, USA
- Department of Oncology, Dell Medical School, The University of Texas at Austin, Austin, TX, USA
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43
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Trück J, Eugster A, Barennes P, Tipton CM, Luning Prak ET, Bagnara D, Soto C, Sherkow JS, Payne AS, Lefranc MP, Farmer A, Bostick M, Mariotti-Ferrandiz E. Biological controls for standardization and interpretation of adaptive immune receptor repertoire profiling. eLife 2021; 10:e66274. [PMID: 34037521 PMCID: PMC8154019 DOI: 10.7554/elife.66274] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2021] [Accepted: 05/15/2021] [Indexed: 12/15/2022] Open
Abstract
Use of adaptive immune receptor repertoire sequencing (AIRR-seq) has become widespread, providing new insights into the immune system with potential broad clinical and diagnostic applications. However, like many high-throughput technologies, it comes with several problems, and the AIRR Community was established to understand and help solve them. We, the AIRR Community's Biological Resources Working Group, have surveyed scientists about the need for standards and controls in generating and annotating AIRR-seq data. Here, we review the current status of AIRR-seq, provide the results of our survey, and based on them, offer recommendations for developing AIRR-seq standards and controls, including future work.
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Affiliation(s)
- Johannes Trück
- University Children’s Hospital and the Children’s Research Center, University of ZurichZurichSwitzerland
| | - Anne Eugster
- CRTD Center for Regenerative Therapies Dresden, Faculty of Medicine, Technische Universität DresdenDresdenGermany
| | - Pierre Barennes
- Sorbonne Université U959, Immunology-Immunopathology-Immunotherapy (i3)ParisFrance
- AP-HP Hôpital Pitié-Salpêtrière, Biotherapy (CIC-BTi)ParisFrance
| | - Christopher M Tipton
- Lowance Center for Human Immunology, Emory University School of MedicineAtlantaUnited States
| | - Eline T Luning Prak
- Perelman School of Medicine, University of PennsylvaniaPhiladelphiaUnited States
| | - Davide Bagnara
- University of Genoa, Department of Experimental MedicineGenoaItaly
| | - Cinque Soto
- The Vanderbilt Vaccine Center, Vanderbilt University Medical CenterNashvilleUnited States
- Department of Pediatrics, Vanderbilt University Medical CenterNashvilleUnited States
| | - Jacob S Sherkow
- College of Law, University of IllinoisChampaignUnited States
- Center for Advanced Studies in Biomedical Innovation Law, University of Copenhagen Faculty of LawCopenhagenDenmark
- Carl R. Woese Institute for Genomic Biology, University of IllinoisUrbana, IllinoisUnited States
| | - Aimee S Payne
- Perelman School of Medicine, University of PennsylvaniaPhiladelphiaUnited States
| | - Marie-Paule Lefranc
- IMGT, The International ImMunoGeneTics Information System (IMGT), Laboratoire d'ImmunoGénétique Moléculaire (LIGM), Institut de Génétique Humaine (IGH), CNRS, University of MontpellierMontpellierFrance
- Laboratoire d'ImmunoGénétique Moléculaire (LIGM) CNRS, University of MontpellierMontpellierFrance
- Institut de Génétique Humaine (IGH), CNRS, University of MontpellierMontpellierFrance
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Magadan S, Mondot S, Palti Y, Gao G, Lefranc MP, Boudinot P. Genomic analysis of a second rainbow trout line (Arlee) leads to an extended description of the IGH VDJ gene repertoire. DEVELOPMENTAL AND COMPARATIVE IMMUNOLOGY 2021; 118:103998. [PMID: 33450314 DOI: 10.1016/j.dci.2021.103998] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/01/2020] [Revised: 01/07/2021] [Accepted: 01/07/2021] [Indexed: 06/12/2023]
Abstract
High-throughput sequencing technologies brought a renewed interest for immune repertoires. Fish Ab and B cell repertoires are no exception, and their comprehensive analysis can both provide new insights into poorly understood immune mechanisms, and identify markers of protection after vaccination. However, the lack of genomic description and standardized nomenclature of IG genes hampers accurate annotation of Ig mRNA deep sequencing data. Complete genome sequences of Atlantic salmon and rainbow trout (Swanson line) recently allowed us to establish a comprehensive and coherent annotation of Salmonid IGH genes following IMGT standards. Here we analyzed the IGHV, D, and J genes from the newly released genome of a second rainbow trout line (Arlee). We confirmed the validity of salmonid IGHV subgroups, and extended the description of the rainbow trout IGH gene repertoire with novel sequences, while keeping nomenclature continuity. This work provides an important resource for annotation of high-throughput Ab repertoire sequencing data.
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Affiliation(s)
- Susana Magadan
- Centro de Investigaciones Biomédicas, Universidade de Vigo, Campus Universitario Lagoas Marcosende, 36310, Vigo, Spain.
| | - Stanislas Mondot
- Université Paris-Saclay, INRAE, AgroParisTech, Micalis Institute, 78350, Jouy-en-Josas, France
| | - Yniv Palti
- USDA-ARS National Center for Cool and Cold Water Aquaculture, 11861 Leetown Road, Kearneysville, WV, 25430, USA
| | - Guangtu Gao
- USDA-ARS National Center for Cool and Cold Water Aquaculture, 11861 Leetown Road, Kearneysville, WV, 25430, USA
| | - Marie Paule Lefranc
- IMGT®, The International ImMunoGeneTics Information System®, Laboratoire d'ImmunoGénétique Moléculaire (LIGM), Institut de Génétique Humaine (IGH), UMR9002 CNRS, Université de Montpellier, Montpellier, France
| | - Pierre Boudinot
- Université Paris-Saclay, INRAE, UVSQ, VIM, 78350, Jouy-en-Josas, France.
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Arnaout RA, Prak ETL, Schwab N, Rubelt F. The Future of Blood Testing Is the Immunome. Front Immunol 2021; 12:626793. [PMID: 33790897 PMCID: PMC8005722 DOI: 10.3389/fimmu.2021.626793] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Accepted: 01/19/2021] [Indexed: 12/13/2022] Open
Abstract
It is increasingly clear that an extraordinarily diverse range of clinically important conditions—including infections, vaccinations, autoimmune diseases, transplants, transfusion reactions, aging, and cancers—leave telltale signatures in the millions of V(D)J-rearranged antibody and T cell receptor [TR per the Human Genome Organization (HUGO) nomenclature but more commonly known as TCR] genes collectively expressed by a person’s B cells (antibodies) and T cells. We refer to these as the immunome. Because of its diversity and complexity, the immunome provides singular opportunities for advancing personalized medicine by serving as the substrate for a highly multiplexed, near-universal blood test. Here we discuss some of these opportunities, the current state of immunome-based diagnostics, and highlight some of the challenges involved. We conclude with a call to clinicians, researchers, and others to join efforts with the Adaptive Immune Receptor Repertoire Community (AIRR-C) to realize the diagnostic potential of the immunome.
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Affiliation(s)
- Ramy A Arnaout
- Department of Pathology and Division of Clinical Informatics, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, United States.,Department of Pathology, Harvard Medical School, Boston, MA, United States
| | - Eline T Luning Prak
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Nicholas Schwab
- Department of Neurology and Institute of Translational Neurology, University of Muenster, Muenster, Germany
| | - Florian Rubelt
- Roche Sequencing Solutions, Pleasanton, CA, United States
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Lee SY, Ko DH, Son MJ, Kim JA, Jung K, Kim YS. Affinity Maturation of a T-Cell Receptor-Like Antibody Specific for a Cytomegalovirus pp65-Derived Peptide Presented by HLA-A*02:01. Int J Mol Sci 2021; 22:ijms22052349. [PMID: 33652936 PMCID: PMC7956451 DOI: 10.3390/ijms22052349] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Revised: 02/22/2021] [Accepted: 02/23/2021] [Indexed: 12/14/2022] Open
Abstract
Human cytomegalovirus (CMV) infection is widespread among adults (60–90%) and is usually undetected in healthy individuals without symptoms but can cause severe diseases in immunocompromised hosts. T-cell receptor (TCR)-like antibodies (Abs), which recognize complex antigens (peptide–MHC complex, pMHC) composed of MHC molecules with embedded short peptides derived from intracellular proteins, including pathogenic viral proteins, can serve as diagnostic and/or therapeutic agents. In this study, we aimed to engineer a TCR-like Ab specific for pMHC comprising a CMV pp65 protein-derived peptide (495NLVPMVATV503; hereafter, CMVpp65495-503) in complex with MHC-I molecule human leukocyte antigen (HLA)-A*02:01 (CMVpp65495-503/HLA-A*02:01) to increase affinity by sequential mutagenesis of complementarity-determining regions using yeast surface display technology. Compared with the parental Ab, the final generated Ab (C1-17) showed ~67-fold enhanced binding affinity (KD ≈ 5.2 nM) for the soluble pMHC, thereby detecting the cell surface-displayed CMVpp65495-503/HLA-A*02:01 complex with high sensitivity and exquisite specificity. Thus, the new high-affinity TCR-like Ab may be used for the detection and treatment of CMV infection.
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Affiliation(s)
- Se-Young Lee
- Department of Molecular Science and Technology, Ajou University, Suwon 16499, Korea; (S.-Y.L.); (D.-H.K.); (M.-J.S.); (J.-A.K.)
| | - Deok-Han Ko
- Department of Molecular Science and Technology, Ajou University, Suwon 16499, Korea; (S.-Y.L.); (D.-H.K.); (M.-J.S.); (J.-A.K.)
| | - Min-Jeong Son
- Department of Molecular Science and Technology, Ajou University, Suwon 16499, Korea; (S.-Y.L.); (D.-H.K.); (M.-J.S.); (J.-A.K.)
| | - Jeong-Ah Kim
- Department of Molecular Science and Technology, Ajou University, Suwon 16499, Korea; (S.-Y.L.); (D.-H.K.); (M.-J.S.); (J.-A.K.)
| | - Keunok Jung
- Department of Allergy and Clinical Immunology, Ajou University School of Medicine, Suwon 16499, Korea;
| | - Yong-Sung Kim
- Department of Molecular Science and Technology, Ajou University, Suwon 16499, Korea; (S.-Y.L.); (D.-H.K.); (M.-J.S.); (J.-A.K.)
- Department of Allergy and Clinical Immunology, Ajou University School of Medicine, Suwon 16499, Korea;
- Correspondence: ; Tel.: +82-31-219-2662; Fax: +82-31-219-1610
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Voss WN, Hou YJ, Johnson NV, Kim JE, Delidakis G, Horton AP, Bartzoka F, Paresi CJ, Tanno Y, Abbasi SA, Pickens W, George K, Boutz DR, Towers DM, McDaniel JR, Billick D, Goike J, Rowe L, Batra D, Pohl J, Lee J, Gangappa S, Sambhara S, Gadush M, Wang N, Person MD, Iverson BL, Gollihar JD, Dye J, Herbert A, Baric RS, McLellan JS, Georgiou G, Lavinder JJ, Ippolito GC. Prevalent, protective, and convergent IgG recognition of SARS-CoV-2 non-RBD spike epitopes in COVID-19 convalescent plasma. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2020. [PMID: 33398269 DOI: 10.1101/2020.12.20.423708] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Although humoral immunity is essential for control of SARS-CoV-2, the molecular composition, binding epitopes and effector functions of the immunoglobulin G (IgG) antibodies that circulate in blood plasma following infection are unknown. Proteomic deconvolution of the circulating IgG repertoire (Ig-Seq 1 ) to the spike ectodomain (S-ECD 2 ) in four convalescent study subjects revealed that the plasma response is oligoclonal and directed predominantly (>80%) to S-ECD epitopes that lie outside the receptor binding domain (RBD). When comparing antibodies directed to either the RBD, the N-terminal domain (NTD) or the S2 subunit (S2) in one subject, just four IgG lineages (1 anti-S2, 2 anti-NTD and 1 anti-RBD) accounted for 93.5% of the repertoire. Although the anti-RBD and one of the anti-NTD antibodies were equally potently neutralizing in vitro , we nonetheless found that the anti-NTD antibody was sufficient for protection to lethal viral challenge, either alone or in combination as a cocktail where it dominated the effect of the other plasma antibodies. We identified in vivo protective plasma anti-NTD antibodies in 3/4 subjects analyzed and discovered a shared class of antibodies targeting the NTD that utilize unmutated or near-germline IGHV1-24, the most electronegative IGHV gene in the human genome. Structural analysis revealed that binding to NTD is dominated by interactions with the heavy chain, accounting for 89% of the entire interfacial area, with germline residues uniquely encoded by IGHV1-24 contributing 20% (149 Å 2 ). Together with recent reports of germline IGHV1-24 antibodies isolated by B-cell cloning 3,4 our data reveal a class of shared IgG antibodies that are readily observed in convalescent plasma and underscore the role of NTD-directed antibodies in protection against SARS-CoV-2 infection.
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