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Shi Y, Shen H. DNA cytosine deamination is associated with recurrent Somatic Copy Number Alterations in stomach adenocarcinoma. Front Genet 2023; 14:1231415. [PMID: 37867602 PMCID: PMC10587545 DOI: 10.3389/fgene.2023.1231415] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Accepted: 09/05/2023] [Indexed: 10/24/2023] Open
Abstract
Stomach Adenocarcinoma (STAD) is a leading cause of death worldwide. Somatic Copy Number Alterations (SCNAs), which result in Homologous recombination (HR) deficiency in double-strand break repair, are associated with the progression of STAD. However, the landscape of frequent breakpoints of SCNAs (hotspots) and their functional impacts remain poorly understood. In this study, we aimed to explore the frequency and impact of these hotspots in 332 STAD patients and 1,043 cancer cells using data from the Cancer Genome Atlas (TCGA) and Cancer Cell Line Encyclopedia (CCLE). We studied the rates of DSB (Double-Strand Breaks) loci in STAD patients by employing the Non-Homogeneous Poisson Distribution (λ), based on which we identified 145 DSB-hotspots with genes affected. We further verified DNA cytosine deamination as a critical process underlying the burden of DSB in STAD. Finally, we illustrated the clinical impact of the significant biological processes. Our findings highlighted the relationship between DNA cytosine deamination and SCNA in cancer was associated with recurrent Somatic Copy Number Alterations in STAD.
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Affiliation(s)
- Yilin Shi
- The College of Letters & Science, University of Wisconsin–Madison, Madison, WI, United States
| | - Huangxuan Shen
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
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2
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Li J, Li S, Zhang T, Yu L, Wei J, Wu M, Xie Y, Tan H. Label-free serum proteomics for the identification of the putative biomarkers of postoperative pain in patients with gastric cancer. Mol Omics 2023; 19:351-361. [PMID: 36892434 DOI: 10.1039/d2mo00296e] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/03/2023]
Abstract
Background: Individualized pain therapy conforms to the concept of precision medicine and contributes to adequate pain management after surgery. Preoperative biomarkers associated with postoperative pain may instruct anesthesiologists to improve personalized suitable analgesia. Therefore, it is essential to explore the association between preoperative proteins and postoperative acute pain using the proteomics platform. Methods: In this study, the 24 hours postoperative sufentanil consumption of 80 male patients with gastric cancer was ranked. Patients with sufentanil consumption in the lowest 12% were included in the sufentanil low consumption group, while patients with sufentanil consumption in the highest 12% were included in the sufentanil high consumption group. The secretion of serum proteins in both groups was analyzed using label-free proteomics technology. The results were validated by ELISA. Results: Proteomics identified 29 proteins that were significantly differentially expressed between groups. ELISA confirmed that secretion of TNC and IGFBP2 was down-regulated in the SLC group. The differential proteins were mainly extracellular and were involved in several terms, including calcium ion binding, laminin-1 binding, and so on. Pathway analysis showed that they were mainly enriched in focal adhesion and extracellular matrix-receptor interaction. The protein-protein interaction network analysis showed 22 proteins that interacted with other proteins. F13B had the strongest correlation with sufentanil consumption and its AUC value was 0.859. Conclusions: Several differential proteins are associated with postoperative acute pain and are involved in ECM-related processes, inflammation, and blood coagulation cascades. F13B may be a novel marker for postoperative acute pain. Our results may benefit postoperative pain management.
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Affiliation(s)
- Jianing Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education, Beijing), Department of Anesthesiology, Peking University Cancer Hospital & Institute, Beijing, 100142, China.
| | - Shuo Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education, Beijing), Department of Anesthesiology, Peking University Cancer Hospital & Institute, Beijing, 100142, China.
| | - Tianzhuo Zhang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education, Beijing), Department of Anesthesiology, Peking University Cancer Hospital & Institute, Beijing, 100142, China.
| | - Ling Yu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education, Beijing), Department of Anesthesiology, Peking University Cancer Hospital & Institute, Beijing, 100142, China.
| | - Jin Wei
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education, Beijing), Department of Anesthesiology, Peking University Cancer Hospital & Institute, Beijing, 100142, China.
| | - Mengge Wu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education, Beijing), Department of Anesthesiology, Peking University Cancer Hospital & Institute, Beijing, 100142, China.
| | - Yining Xie
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education, Beijing), Department of Anesthesiology, Peking University Cancer Hospital & Institute, Beijing, 100142, China.
| | - Hongyu Tan
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education, Beijing), Department of Anesthesiology, Peking University Cancer Hospital & Institute, Beijing, 100142, China.
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3
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Discovery and Optimization of Neutralizing SARS-CoV-2 Antibodies Using ALTHEA Gold Plus Libraries™. Int J Mol Sci 2023; 24:ijms24054609. [PMID: 36902040 PMCID: PMC10003557 DOI: 10.3390/ijms24054609] [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: 01/24/2023] [Revised: 02/14/2023] [Accepted: 02/20/2023] [Indexed: 03/02/2023] Open
Abstract
We recently reported the isolation and characterization of anti-SARS-CoV-2 antibodies from a phage display library built with the VH repertoire of a convalescent COVID-19 patient, paired with four naïve synthetic VL libraries. One of the antibodies, called IgG-A7, neutralized the Wuhan, Delta (B.1.617.2) and Omicron (B.1.1.529) strains in authentic neutralization tests (PRNT). It also protected 100% transgenic mice expressing the human angiotensin-converting enzyme 2 (hACE-2) from SARS-CoV-2 infection. In this study, the four synthetic VL libraries were combined with the semi-synthetic VH repertoire of ALTHEA Gold Libraries™ to generate a set of fully naïve, general-purpose, libraries called ALTHEA Gold Plus Libraries™. Three out of 24 specific clones for the RBD isolated from the libraries, with affinity in the low nanomolar range and sub-optimal in vitro neutralization in PRNT, were affinity optimized via a method called "Rapid Affinity Maturation" (RAM). The final molecules reached sub-nanomolar neutralization potency, slightly superior to IgG-A7, while the developability profile over the parental molecules was improved. These results demonstrate that general-purpose libraries are a valuable source of potent neutralizing antibodies. Importantly, since general-purpose libraries are "ready-to-use", it could expedite isolation of antibodies for rapidly evolving viruses such as SARS-CoV-2.
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4
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Dacon C, Peng L, Lin TH, Tucker C, Lee CCD, Cong Y, Wang L, Purser L, Cooper AJR, Williams JK, Pyo CW, Yuan M, Kosik I, Hu Z, Zhao M, Mohan D, Peterson M, Skinner J, Dixit S, Kollins E, Huzella L, Perry D, Byrum R, Lembirik S, Murphy M, Zhang Y, Yang ES, Chen M, Leung K, Weinberg RS, Pegu A, Geraghty DE, Davidson E, Doranz BJ, Douagi I, Moir S, Yewdell JW, Schmaljohn C, Crompton PD, Mascola JR, Holbrook MR, Nemazee D, Wilson IA, Tan J. Rare, convergent antibodies targeting the stem helix broadly neutralize diverse betacoronaviruses. Cell Host Microbe 2023; 31:97-111.e12. [PMID: 36347257 PMCID: PMC9639329 DOI: 10.1016/j.chom.2022.10.010] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Revised: 09/04/2022] [Accepted: 10/13/2022] [Indexed: 11/09/2022]
Abstract
Humanity has faced three recent outbreaks of novel betacoronaviruses, emphasizing the need to develop approaches that broadly target coronaviruses. Here, we identify 55 monoclonal antibodies from COVID-19 convalescent donors that bind diverse betacoronavirus spike proteins. Most antibodies targeted an S2 epitope that included the K814 residue and were non-neutralizing. However, 11 antibodies targeting the stem helix neutralized betacoronaviruses from different lineages. Eight antibodies in this group, including the six broadest and most potent neutralizers, were encoded by IGHV1-46 and IGKV3-20. Crystal structures of three antibodies of this class at 1.5-1.75-Å resolution revealed a conserved mode of binding. COV89-22 neutralized SARS-CoV-2 variants of concern including Omicron BA.4/5 and limited disease in Syrian hamsters. Collectively, these findings identify a class of IGHV1-46/IGKV3-20 antibodies that broadly neutralize betacoronaviruses by targeting the stem helix but indicate these antibodies constitute a small fraction of the broadly reactive antibody response to betacoronaviruses after SARS-CoV-2 infection.
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Affiliation(s)
- Cherrelle Dacon
- Antibody Biology Unit, Laboratory of Immunogenetics, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rockville, MD 20852, USA
| | - Linghang Peng
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Ting-Hui Lin
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Courtney Tucker
- Antibody Biology Unit, Laboratory of Immunogenetics, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rockville, MD 20852, USA; Department of Biology, The Catholic University of America, Washington, DC 20064, USA
| | - Chang-Chun D Lee
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Yu Cong
- Integrated Research Facility, Division of Clinical Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Frederick, MD 21702, USA
| | - Lingshu Wang
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Lauren Purser
- Antibody Biology Unit, Laboratory of Immunogenetics, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rockville, MD 20852, USA
| | - Andrew J R Cooper
- Antibody Biology Unit, Laboratory of Immunogenetics, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rockville, MD 20852, USA
| | | | - Chul-Woo Pyo
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Meng Yuan
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Ivan Kosik
- Cellular Biology Section, Laboratory of Viral Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Zhe Hu
- Cellular Biology Section, Laboratory of Viral Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Ming Zhao
- Protein Chemistry Section, Research Technologies Branch, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rockville, MD 20852, USA
| | - Divya Mohan
- Antibody Biology Unit, Laboratory of Immunogenetics, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rockville, MD 20852, USA
| | - Mary Peterson
- Malaria Infection Biology and Immunity Section, Laboratory of Immunogenetics, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rockville, MD 20852, USA
| | - Jeff Skinner
- Malaria Infection Biology and Immunity Section, Laboratory of Immunogenetics, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rockville, MD 20852, USA
| | - Saurabh Dixit
- Integrated Research Facility, Division of Clinical Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Frederick, MD 21702, USA
| | - Erin Kollins
- Integrated Research Facility, Division of Clinical Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Frederick, MD 21702, USA
| | - Louis Huzella
- Integrated Research Facility, Division of Clinical Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Frederick, MD 21702, USA
| | - Donna Perry
- Integrated Research Facility, Division of Clinical Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Frederick, MD 21702, USA
| | - Russell Byrum
- Integrated Research Facility, Division of Clinical Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Frederick, MD 21702, USA
| | - Sanae Lembirik
- Integrated Research Facility, Division of Clinical Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Frederick, MD 21702, USA
| | - Michael Murphy
- Integrated Research Facility, Division of Clinical Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Frederick, MD 21702, USA
| | - Yi Zhang
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Eun Sung Yang
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Man Chen
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Kwanyee Leung
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Rona S Weinberg
- New York Blood Center, Lindsley F. Kimball Research Institute, New York, NY 10065, USA
| | - Amarendra Pegu
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Daniel E Geraghty
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | | | | | - Iyadh Douagi
- Flow Cytometry Section, Research Technologies Branch, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Susan Moir
- B Cell Immunology Section, Laboratory of Immunoregulation, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Jonathan W Yewdell
- Cellular Biology Section, Laboratory of Viral Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Connie Schmaljohn
- Integrated Research Facility, Division of Clinical Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Frederick, MD 21702, USA
| | - Peter D Crompton
- Malaria Infection Biology and Immunity Section, Laboratory of Immunogenetics, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rockville, MD 20852, USA
| | - John R Mascola
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Michael R Holbrook
- Integrated Research Facility, Division of Clinical Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Frederick, MD 21702, USA
| | - David Nemazee
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, 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
| | - Joshua Tan
- Antibody Biology Unit, Laboratory of Immunogenetics, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rockville, MD 20852, USA.
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5
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Wang Z, Tang Q, Liu B, Zhang W, Chen Y, Ji N, Peng Y, Yang X, Cui D, Kong W, Tang X, Yang T, Zhang M, Chang X, Zhu J, Huang M, Feng Z. A SARS-CoV-2 neutralizing antibody discovery by single cell sequencing and molecular modeling. J Biomed Res 2022; 37:166-178. [PMID: 36992606 DOI: 10.7555/jbr.36.20220221] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Although vaccines have been developed, mutations of SARS-CoV-2, especially the dominant B.1.617.2 (delta) and B.1.529 (omicron) strains with more than 30 mutations on their spike protein, have caused a significant decline in prophylaxis, calling for the need for drug improvement. Antibodies are drugs preferentially used in infectious diseases and are easy to get from immunized organisms. The current study combined molecular modeling and single memory B cell sequencing to assess candidate sequences before experiments, providing a strategy for the fabrication of SARS-CoV-2 neutralizing antibodies. A total of 128 sequences were obtained after sequencing 196 memory B cells, and 42 sequences were left after merging extremely similar ones and discarding incomplete ones, followed by homology modeling of the antibody variable region. Thirteen candidate sequences were expressed, of which three were tested positive for receptor binding domain recognition but only one was confirmed as having broad neutralization against several SARS-CoV-2 variants. The current study successfully obtained a SARS-CoV-2 antibody with broad neutralizing abilities and provided a strategy for antibody development in emerging infectious diseases using single memory B cell BCR sequencing and computer assistance in antibody fabrication.
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Affiliation(s)
- Zheyue Wang
- National Health Commission Key Laboratory of Antibody Technique, Jiangsu Province Engineering Research Center of Antibody Drug, Department of Pathology, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Qi Tang
- National Health Commission Key Laboratory of Antibody Technique, Jiangsu Province Engineering Research Center of Antibody Drug, Department of Pathology, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Bende Liu
- Department of Cardiology, the First People's Hospital of Jiangxia District, Wuhan, Hubei 430299, China
| | - Wenqing Zhang
- National Health Commission Key Laboratory of Antibody Technique, Jiangsu Province Engineering Research Center of Antibody Drug, Department of Pathology, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Yufeng Chen
- National Health Commission Key Laboratory of Antibody Technique, Jiangsu Province Engineering Research Center of Antibody Drug, Department of Pathology, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Ningfei Ji
- Department of Respiratory and Critical Care Medicine, the First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, China
| | - Yan Peng
- National Health Commission Key Laboratory of Antibody Technique, Jiangsu Province Engineering Research Center of Antibody Drug, Department of Pathology, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Xiaohui Yang
- National Health Commission Key Laboratory of Antibody Technique, Jiangsu Province Engineering Research Center of Antibody Drug, Department of Pathology, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Daixun Cui
- National Health Commission Key Laboratory of Antibody Technique, Jiangsu Province Engineering Research Center of Antibody Drug, Department of Pathology, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Weiyu Kong
- National Health Commission Key Laboratory of Antibody Technique, Jiangsu Province Engineering Research Center of Antibody Drug, Department of Pathology, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Xiaojun Tang
- Department of Rheumatology and Immunology, the Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, Jiangsu 210008, China
| | - Tingting Yang
- National Health Commission Key Laboratory of Antibody Technique, Jiangsu Province Engineering Research Center of Antibody Drug, Department of Pathology, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Mingshun Zhang
- National Health Commission Key Laboratory of Antibody Technique, Jiangsu Province Engineering Research Center of Antibody Drug, Department of Pathology, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Xinxia Chang
- National Health Commission Key Laboratory of Antibody Technique, Jiangsu Province Engineering Research Center of Antibody Drug, Department of Pathology, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Jin Zhu
- Huadong Medical Institute of Biotechniques, Nanjing, Jiangsu 210028, China
| | - Mao Huang
- Department of Respiratory and Critical Care Medicine, the First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, China
| | - Zhenqing Feng
- National Health Commission Key Laboratory of Antibody Technique, Jiangsu Province Engineering Research Center of Antibody Drug, Department of Pathology, Nanjing Medical University, Nanjing, Jiangsu 211166, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, Jiangsu 211166, China
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Lower Somatic Mutation Levels in the λ Light-Chain Repertoires with Chronic HBV Infection. EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE 2021; 2021:5525369. [PMID: 34239579 PMCID: PMC8203402 DOI: 10.1155/2021/5525369] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Accepted: 05/27/2021] [Indexed: 11/21/2022]
Abstract
To investigate the characteristics of the immunoglobulin light-chain repertoires with chronic HBV infection, the high-throughput sequencing and IMGT/HighV-QUEST were adapted to analyze the κ (IgK) and λ (IgL) light-chain repertoires from the inactive HBV carriers (IHB) and the healthy adults (HH). The comparative analysis revealed high similarity between the κ light-chain repertoires of the HBV carriers and the healthy adults. Nevertheless, the proportion of IGLV genes with ≥90% identity as the germline genes was higher in the IgL light-chain repertoire of the IHB library compared with that of HH library (74.6% vs. 69.1%). Besides, the frequency of amino acid mutations in the CDR1 regions was significantly lower in the IgL light-chain repertoire of the IHB library than that of the HH library (65.52% vs. 56.0%). These results suggested the lower somatic mutation level in the IgL repertoire of IHB library, which might indicate the biased selection of IGLV genes in the IgL repertoire with chronic HBV infection. These findings might lead to a better understanding of the characteristics of the light-chain repertoires of HBV chronically infected individuals.
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7
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Khatri I, Berkowska MA, van den Akker EB, Teodosio C, Reinders MJT, van Dongen JJM. Population matched (pm) germline allelic variants of immunoglobulin (IG) loci: Relevance in infectious diseases and vaccination studies in human populations. Genes Immun 2021; 22:172-186. [PMID: 34120151 PMCID: PMC8196923 DOI: 10.1038/s41435-021-00143-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Revised: 05/12/2021] [Accepted: 06/01/2021] [Indexed: 02/05/2023]
Abstract
Immunoglobulin (IG) loci harbor inter-individual allelic variants in many different germline IG variable, diversity and joining genes of the IG heavy (IGH), kappa (IGK) and lambda (IGL) loci, which together form the genetic basis of the highly diverse antigen-specific B-cell receptors. These allelic variants can be shared between or be specific to human populations. The current immunogenetics resources gather the germline alleles, however, lack the population specificity of the alleles which poses limitations for disease-association studies related to immune responses in different human populations. Therefore, we systematically identified germline alleles from 26 different human populations around the world, profiled by "1000 Genomes" data. We identified 409 IGHV, 179 IGKV, and 199 IGLV germline alleles supported by at least seven haplotypes. The diversity of germline alleles is the highest in Africans. Remarkably, the variants in the identified novel alleles show strikingly conserved patterns, the same as found in other IG databases, suggesting over-time evolutionary selection processes. We could relate the genetic variants to population-specific immune responses, e.g. IGHV1-69 for flu in Africans. The population matched IG (pmIG) resource will enhance our understanding of the SHM-related B-cell receptor selection processes in (infectious) diseases and vaccination within and between different human populations.
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Affiliation(s)
- Indu Khatri
- Department Immunology, Leiden University Medical Center, Leiden, The Netherlands
- Leiden Computational Biology Center, Leiden University Medical Center, Leiden, The Netherlands
| | | | - Erik B van den Akker
- Leiden Computational Biology Center, Leiden University Medical Center, Leiden, The Netherlands
- Department Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
- Delft Bioinformatics Lab, Delft University of Technology, Delft, The Netherlands
| | - Cristina Teodosio
- Department Immunology, Leiden University Medical Center, Leiden, The Netherlands
| | - Marcel J T Reinders
- Leiden Computational Biology Center, Leiden University Medical Center, Leiden, The Netherlands
- Delft Bioinformatics Lab, Delft University of Technology, Delft, The Netherlands
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8
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Cizmeci D, Lofano G, Rossignol E, Dugast AS, Kim D, Cavet G, Nguyen N, Tan YC, Seaman MS, Alter G, Julg B. Distinct clonal evolution of B-cells in HIV controllers with neutralizing antibody breadth. eLife 2021; 10:62648. [PMID: 33843586 PMCID: PMC8041465 DOI: 10.7554/elife.62648] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Accepted: 04/02/2021] [Indexed: 01/16/2023] Open
Abstract
A minor subset of individuals infected with HIV-1 develop antibody neutralization breadth during the natural course of the infection, often linked to chronic, high-level viremia. Despite significant efforts, vaccination strategies have been unable to induce similar neutralization breadth and the mechanisms underlying neutralizing antibody induction remain largely elusive. Broadly neutralizing antibody responses can also be found in individuals who control HIV to low and even undetectable plasma levels in the absence of antiretroviral therapy, suggesting that high antigen exposure is not a strict requirement for neutralization breadth. We therefore performed an analysis of paired heavy and light chain B-cell receptor (BCR) repertoires in 12,591 HIV-1 envelope-specific single memory B-cells to determine alterations in the BCR immunoglobulin gene repertoire and B-cell clonal expansions that associate with neutralizing antibody breadth in 22 HIV controllers. We found that the frequency of genomic mutations in IGHV and IGLV was directly correlated with serum neutralization breadth. The repertoire of the most mutated antibodies was dominated by a small number of large clones with evolutionary signatures suggesting that these clones had reached peak affinity maturation. These data demonstrate that even in the setting of low plasma HIV antigenemia, similar to what a vaccine can potentially achieve, BCR selection for extended somatic hypermutation and clonal evolution can occur in some individuals suggesting that host-specific factors might be involved that could be targeted with future vaccine strategies.
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Affiliation(s)
- Deniz Cizmeci
- Ragon Institute of MGH, MIT and Harvard, Cambridge, United States
| | - Giuseppe Lofano
- Ragon Institute of MGH, MIT and Harvard, Cambridge, United States
| | - Evan Rossignol
- Ragon Institute of MGH, MIT and Harvard, Cambridge, United States
| | | | | | - Guy Cavet
- Atreca Inc, Redwood City, United States
| | | | | | - Michael S Seaman
- Center for Virology and Vaccine Research, Beth Israel Deaconess Medical Center, Boston, United States
| | - Galit Alter
- Ragon Institute of MGH, MIT and Harvard, Cambridge, United States
| | - Boris Julg
- Ragon Institute of MGH, MIT and Harvard, Cambridge, United States
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9
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A single donor is sufficient to produce a highly functional in vitro antibody library. Commun Biol 2021; 4:350. [PMID: 33742103 PMCID: PMC7979914 DOI: 10.1038/s42003-021-01881-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Accepted: 02/19/2021] [Indexed: 01/31/2023] Open
Abstract
Antibody complementarity determining region diversity has been considered to be the most important metric for the production of a functional antibody library. Generally, the greater the antibody library diversity, the greater the probability of selecting a diverse array of high affinity leads. According to this paradigm, the primary means of elevating library diversity has been by increasing the number of donors. In the present study we explored the possibility of creating an in vitro antibody library from a single healthy individual, showing that the number of lymphocytes, rather than the number of donors, is the key criterion in the production of a diverse and functional antibody library. We describe the construction of a high-quality phage display library comprising 5 × 109 human antibodies by applying an efficient B cell extraction protocol from a single donor and a targeted V-gene amplification strategy favoring specific antibody families for their improved developability profiles. Each step of the library generation process was followed and validated by next generation sequencing to monitor the library quality and diversity. The functionality of the library was tested using several therapeutically relevant targets for which a vast number of different antibodies with desired biophysical properties were obtained.
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10
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Lees W, Busse CE, Corcoran M, Ohlin M, Scheepers C, Matsen FA, Yaari G, Watson CT, Collins A, Shepherd AJ. OGRDB: a reference database of inferred immune receptor genes. Nucleic Acids Res 2020; 48:D964-D970. [PMID: 31566225 PMCID: PMC6943078 DOI: 10.1093/nar/gkz822] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2019] [Revised: 09/05/2019] [Accepted: 09/16/2019] [Indexed: 12/20/2022] Open
Abstract
High-throughput sequencing of the adaptive immune receptor repertoire (AIRR-seq) is providing unprecedented insights into the immune response to disease and into the development of immune disorders. The accurate interpretation of AIRR-seq data depends on the existence of comprehensive germline gene reference sets. Current sets are known to be incomplete and unrepresentative of the degree of polymorphism and diversity in human and animal populations. A key issue is the complexity of the genomic regions in which they lie, which, because of the presence of multiple repeats, insertions and deletions, have not proved tractable with short-read whole genome sequencing. Recently, tools and methods for inferring such gene sequences from AIRR-seq datasets have become available, and a community approach has been developed for the expert review and publication of such inferences. Here, we present OGRDB, the Open Germline Receptor Database (https://ogrdb.airr-community.org), a public resource for the submission, review and publication of previously unknown receptor germline sequences together with supporting evidence.
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Affiliation(s)
- William Lees
- Institute of Structural and Molecular Biology, Birkbeck College, University of London, London WC1E 7HX, UK
| | - Christian E Busse
- Division of B Cell Immunology, German Cancer Research Center, 69120 Heidelberg, Germany
| | - Martin Corcoran
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institute, Box 280, 171 77 Stockholm, Sweden
| | - Mats Ohlin
- Department of Immunotechnology, Lund University, Medicon Village, S-223 81 Lund, Sweden
| | - Cathrine Scheepers
- Center for HIV and STIs, National Institute for Communicable Diseases of the National Health Laboratory Service, Sandringam, Gauteng 2131, South Africa.,Antibody Immunity Research Unit, School of Pathology, University of the Witwatersrand, Johannesburg 2050, South Africa
| | - Frederick A Matsen
- Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109-1024, USA
| | - Gur Yaari
- Faculty of Engineering, Bar Ilan University, Ramat Gan 5290002, Israel
| | - Corey T Watson
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY 40202, USA
| | | | - Andrew Collins
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, New South Wales 2052, Australia
| | - Adrian J Shepherd
- Institute of Structural and Molecular Biology, Birkbeck College, University of London, London WC1E 7HX, UK
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11
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Marks C, Deane CM. How repertoire data are changing antibody science. J Biol Chem 2020; 295:9823-9837. [PMID: 32409582 DOI: 10.1074/jbc.rev120.010181] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2020] [Revised: 04/28/2020] [Indexed: 12/13/2022] Open
Abstract
Antibodies are vital proteins of the immune system that recognize potentially harmful molecules and initiate their removal. Mammals can efficiently create vast numbers of antibodies with different sequences capable of binding to any antigen with high affinity and specificity. Because they can be developed to bind to many disease agents, antibodies can be used as therapeutics. In an organism, after antigen exposure, antibodies specific to that antigen are enriched through clonal selection, expansion, and somatic hypermutation. The antibodies present in an organism therefore report on its immune status, describe its innate ability to deal with harmful substances, and reveal how it has previously responded. Next-generation sequencing technologies are being increasingly used to query the antibody, or B-cell receptor (BCR), sequence repertoire, and the amount of BCR data in public repositories is growing. The Observed Antibody Space database, for example, currently contains over a billion sequences from 68 different studies. Repertoires are available that represent both the naive state (i.e. antigen-inexperienced) and that after immunization. This wealth of data has created opportunities to learn more about our immune system. In this review, we discuss the many ways in which BCR repertoire data have been or could be exploited. We highlight its utility for providing insights into how the naive immune repertoire is generated and how it responds to antigens. We also consider how structural information can be used to enhance these data and may lead to more accurate depictions of the sequence space and to applications in the discovery of new therapeutics.
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Affiliation(s)
- Claire Marks
- Department of Statistics, University of Oxford, Oxford, United Kingdom
| | - Charlotte M Deane
- Department of Statistics, University of Oxford, Oxford, United Kingdom
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12
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Bautista D, Vásquez C, Ayala-Ramírez P, Téllez-Sosa J, Godoy-Lozano E, Martínez-Barnetche J, Franco M, Angel J. Differential Expression of IgM and IgD Discriminates Two Subpopulations of Human Circulating IgM +IgD +CD27 + B Cells That Differ Phenotypically, Functionally, and Genetically. Front Immunol 2020; 11:736. [PMID: 32435242 PMCID: PMC7219516 DOI: 10.3389/fimmu.2020.00736] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2019] [Accepted: 03/31/2020] [Indexed: 01/17/2023] Open
Abstract
The origin and function of blood IgM+IgD+CD27+ B cells is controversial, and they are considered a heterogeneous population. Previous staining of circulating B cells of healthy donors with rotavirus fluorescent virus-like particles allowed us to differentiate two subsets of IgM+IgD+CD27+: IgMhi and IgMlo B cells. Here, we confirmed this finding and compared the phenotype, transcriptome, in vitro function, and Ig gene repertoire of these two subsets. Eleven markers phenotypically discriminated both subsets (CD1c, CD69, IL21R, CD27, MTG, CD45RB, CD5, CD184, CD23, BAFFR, and CD38) with the IgMhi phenotypically resembling previously reported marginal zone B cells and the IgMlo resembling both naïve and memory B cells. Transcriptomic analysis showed that both subpopulations clustered close to germinal center-experienced IgM only B cells with a Principal Component Analysis, but differed in expression of 78 genes. Moreover, IgMhi B cells expressed genes characteristic of previously reported marginal zone B cells. After stimulation with CpG and cytokines, significantly (p < 0.05) higher frequencies (62.5%) of IgMhi B cells proliferated, compared with IgMlo B cells (35.37%), and differentiated to antibody secreting cells (14.22% for IgMhi and 7.19% for IgMlo). IgMhi B cells had significantly (p < 0.0007) higher frequencies of mutations in IGHV and IGKV regions, IgMlo B cells had higher usage of IGHJ6 genes (p < 0.0001), and both subsets differed in their HCDR3 properties. IgMhi B cells shared most of their shared IGH clonotypes with IgM only memory B cells, and IgMlo B cells with IgMhi B cells. These results support the notion that differential expression of IgM and IgD discriminates two subpopulations of human circulating IgM+IgD+CD27+ B cells, with the IgMhi B cells having similarities with previously described marginal zone B cells that passed through germinal centers, and the IgMlo B cells being the least differentiated amongst the IgM+CD27+ subsets.
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Affiliation(s)
- Diana Bautista
- Instituto de Genética Humana, Facultad de Medicina, Pontificia Universidad Javeriana, Bogotá, Colombia
| | - Camilo Vásquez
- Instituto de Genética Humana, Facultad de Medicina, Pontificia Universidad Javeriana, Bogotá, Colombia
| | - Paola Ayala-Ramírez
- Instituto de Genética Humana, Facultad de Medicina, Pontificia Universidad Javeriana, Bogotá, Colombia
| | - Juan Téllez-Sosa
- Centro de Investigación Sobre Enfermedades Infecciosas, Instituto Nacional de Salud Pública, Cuernavaca, Mexico
| | - Ernestina Godoy-Lozano
- Centro de Investigación Sobre Enfermedades Infecciosas, Instituto Nacional de Salud Pública, Cuernavaca, Mexico
| | - Jesús Martínez-Barnetche
- Centro de Investigación Sobre Enfermedades Infecciosas, Instituto Nacional de Salud Pública, Cuernavaca, Mexico
| | - Manuel Franco
- Instituto de Genética Humana, Facultad de Medicina, Pontificia Universidad Javeriana, Bogotá, Colombia
| | - Juana Angel
- Instituto de Genética Humana, Facultad de Medicina, Pontificia Universidad Javeriana, Bogotá, Colombia
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13
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Omer A, Shemesh O, Peres A, Polak P, Shepherd AJ, Watson C, Boyd SD, Collins AM, Lees W, Yaari G. VDJbase: an adaptive immune receptor genotype and haplotype database. Nucleic Acids Res 2020; 48:D1051-D1056. [PMID: 31602484 PMCID: PMC6943044 DOI: 10.1093/nar/gkz872] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2019] [Revised: 09/19/2019] [Accepted: 10/01/2019] [Indexed: 12/14/2022] Open
Abstract
VDJbase is a publicly available database that offers easy searching of data describing the complete sets of gene sequences (genotypes and haplotypes) inferred from adaptive immune receptor repertoire sequencing datasets. VDJbase is designed to act as a resource that will allow the scientific community to explore the genetic variability of the immunoglobulin (Ig) and T cell receptor (TR) gene loci. It can also assist in the investigation of Ig- and TR-related genetic predispositions to diseases. Our database includes web-based query and online tools to assist in visualization and analysis of the genotype and haplotype data. It enables users to detect those alleles and genes that are significantly over-represented in a particular population, in terms of genotype, haplotype and gene expression. The database website can be freely accessed at https://www.vdjbase.org/, and no login is required. The data and code use creative common licenses and are freely downloadable from https://bitbucket.org/account/user/yaarilab/projects/GPHP.
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Affiliation(s)
- Aviv Omer
- Bioengineering, Faculty of Engineering, Bar-Ilan University, Ramat Gan 5290002, Israel
| | - Or Shemesh
- Bioengineering, Faculty of Engineering, Bar-Ilan University, Ramat Gan 5290002, Israel
| | - Ayelet Peres
- Bioengineering, Faculty of Engineering, Bar-Ilan University, Ramat Gan 5290002, Israel
| | - Pazit Polak
- Bioengineering, Faculty of Engineering, Bar-Ilan University, Ramat Gan 5290002, Israel
| | - Adrian J Shepherd
- Institute of Structural and Molecular Biology, Birkbeck, University of London, London, UK
| | - Corey T Watson
- University of Louisville School of Medicine, Biochemistry and Molecular Genetics, Louisville, KY 40292, USA
| | - Scott D Boyd
- Department of Pathology, Stanford University, Stanford, CA 94305, USA
| | - Andrew M Collins
- School of Biotechnology and Biomolecular Sciences, University of NSW, Kensington, Sydney, NSW 2052, Australia
| | - William Lees
- Institute of Structural and Molecular Biology, Birkbeck, University of London, London, UK
| | - Gur Yaari
- Bioengineering, Faculty of Engineering, Bar-Ilan University, Ramat Gan 5290002, Israel
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14
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Havenar-Daughton C, Sarkar A, Kulp DW, Toy L, Hu X, Deresa I, Kalyuzhniy O, Kaushik K, Upadhyay AA, Menis S, Landais E, Cao L, Diedrich JK, Kumar S, Schiffner T, Reiss SM, Seumois G, Yates JR, Paulson JC, Bosinger SE, Wilson IA, Schief WR, Crotty S. The human naive B cell repertoire contains distinct subclasses for a germline-targeting HIV-1 vaccine immunogen. Sci Transl Med 2019; 10:10/448/eaat0381. [PMID: 29973404 DOI: 10.1126/scitranslmed.aat0381] [Citation(s) in RCA: 86] [Impact Index Per Article: 17.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2018] [Accepted: 05/30/2018] [Indexed: 12/12/2022]
Abstract
Traditional vaccine development to prevent some of the worst current pandemic diseases has been unsuccessful so far. Germline-targeting immunogens have potential to prime protective antibodies (Abs) via more targeted immune responses. Success of germline-targeting vaccines in humans will depend on the composition of the human naive B cell repertoire, including the frequencies and affinities of epitope-specific B cells. However, the human naive B cell repertoire remains largely undefined. Assessment of antigen-specific human naive B cells among hundreds of millions of B cells from multiple donors may be used as pre-phase 1 ex vivo human testing to potentially forecast B cell and Ab responses to new vaccine designs. VRC01 is an HIV broadly neutralizing Ab (bnAb) against the envelope CD4-binding site (CD4bs). We characterized naive human B cells recognizing eOD-GT8, a germline-targeting HIV-1 vaccine candidate immunogen designed to prime VRC01-class Abs. Several distinct subclasses of VRC01-class naive B cells were identified, sharing sequence characteristics with inferred precursors of known bnAbs VRC01, VRC23, PCIN63, and N6. Multiple naive B cell clones exactly matched mature VRC01-class bnAb L-CDR3 sequences. Non-VRC01-class B cells were also characterized, revealing recurrent public light chain sequences. Unexpectedly, we also identified naive B cells related to the IOMA-class CD4bs bnAb. These different subclasses within the human repertoire had strong initial affinities (KD) to the immunogen, up to 13 nM, and represent encouraging indications that multiple independent pathways may exist for vaccine-elicited VRC01-class bnAb development in most individuals. The frequencies of these distinct eOD-GT8 B cell specificities give insights into antigen-specific compositional features of the human naive B cell repertoire and provide actionable information for vaccine design and advancement.
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Affiliation(s)
- Colin Havenar-Daughton
- Division of Vaccine Discovery, La Jolla Institute for Allergy and Immunology, La Jolla, CA 92037, USA. .,Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Anita Sarkar
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery, The Scripps Research Institute, La Jolla, CA 92037, USA.,International AIDS Vaccine Initiative Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA 92037, USA.,Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Daniel W Kulp
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery, The Scripps Research Institute, La Jolla, CA 92037, USA.,International AIDS Vaccine Initiative Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA 92037, USA.,Department of Immunology and Microbial Science, The Scripps Research Institute, La Jolla, CA 92037, USA.,Vaccine and Immunotherapy Center, The Wistar Institute, Philadelphia, PA 19104, USA
| | - Laura Toy
- Division of Vaccine Discovery, La Jolla Institute for Allergy and Immunology, La Jolla, CA 92037, USA.,Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Xiaozhen Hu
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery, The Scripps Research Institute, La Jolla, CA 92037, USA.,International AIDS Vaccine Initiative Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA 92037, USA.,Department of Immunology and Microbial Science, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Isaiah Deresa
- Division of Vaccine Discovery, La Jolla Institute for Allergy and Immunology, La Jolla, CA 92037, USA
| | - Oleksandr Kalyuzhniy
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery, The Scripps Research Institute, La Jolla, CA 92037, USA.,International AIDS Vaccine Initiative Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA 92037, USA.,Department of Immunology and Microbial Science, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Kirti Kaushik
- Division of Vaccine Discovery, La Jolla Institute for Allergy and Immunology, La Jolla, CA 92037, USA.,Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Amit A Upadhyay
- Emory Vaccine Center, Yerkes National Primate Research Center, Emory University, Atlanta, GA 30329, USA
| | - Sergey Menis
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery, The Scripps Research Institute, La Jolla, CA 92037, USA.,International AIDS Vaccine Initiative Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA 92037, USA.,Department of Immunology and Microbial Science, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Elise Landais
- International AIDS Vaccine Initiative Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA 92037, USA.,Department of Immunology and Microbial Science, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Liwei Cao
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery, The Scripps Research Institute, La Jolla, CA 92037, USA.,Department of Immunology and Microbial Science, The Scripps Research Institute, La Jolla, CA 92037, USA.,Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Jolene K Diedrich
- Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Sonu Kumar
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery, The Scripps Research Institute, La Jolla, CA 92037, USA.,International AIDS Vaccine Initiative Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA 92037, USA.,Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Torben Schiffner
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery, The Scripps Research Institute, La Jolla, CA 92037, USA.,International AIDS Vaccine Initiative Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA 92037, USA.,Department of Immunology and Microbial Science, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Samantha M Reiss
- Division of Vaccine Discovery, La Jolla Institute for Allergy and Immunology, La Jolla, CA 92037, USA.,Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Grégory Seumois
- Division of Vaccine Discovery, La Jolla Institute for Allergy and Immunology, La Jolla, CA 92037, USA
| | - John R Yates
- Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - James C Paulson
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery, The Scripps Research Institute, La Jolla, CA 92037, USA.,Department of Immunology and Microbial Science, The Scripps Research Institute, La Jolla, CA 92037, USA.,Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Steven E Bosinger
- Emory Vaccine Center, Yerkes National Primate Research Center, Emory University, Atlanta, GA 30329, USA
| | - Ian A Wilson
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery, The Scripps Research Institute, La Jolla, CA 92037, USA.,International AIDS Vaccine Initiative Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA 92037, USA.,Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA.,Skaggs Institute for Chemical Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - William R Schief
- Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery, The Scripps Research Institute, La Jolla, CA 92037, USA.,International AIDS Vaccine Initiative Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA 92037, USA.,Department of Immunology and Microbial Science, The Scripps Research Institute, La Jolla, CA 92037, USA.,Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA 02129, USA
| | - Shane Crotty
- Division of Vaccine Discovery, La Jolla Institute for Allergy and Immunology, La Jolla, CA 92037, USA. .,Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery, The Scripps Research Institute, La Jolla, CA 92037, USA.,Division of Infectious Diseases, Department of Medicine, University of California San Diego School of Medicine, La Jolla, CA 92093, USA
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15
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Artificial immunoglobulin light chain with potential to associate with a wide variety of immunoglobulin heavy chains. Biochem Biophys Res Commun 2019; 515:481-486. [PMID: 31167721 DOI: 10.1016/j.bbrc.2019.05.149] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2019] [Accepted: 05/24/2019] [Indexed: 12/13/2022]
Abstract
Immunoglobulins play important roles in antigen recognition during the immune response, and the complementarity-determining region (CDR) 3 of the heavy chain is considered as the critical antigen-binding site. We previously developed a statistical protocol for the extensive analysis of heavy chain variable region repertoires and the dynamics of their immune response using next-generation sequencing (NGS). The properties of important antibody heavy chains predicted in silico by the protocol were examined by gene synthesis and antibody protein expression; however, the corresponding light chain that matches with the heavy chain could not be predicted by our protocol. To understand the dynamics of the heavy chain and the effect of light chain pairing on it, we firstly tried to obtain an artificial light chain that pairs with a broad range of heavy chains and then analyzed its effect on the antigen binding of heavy chains upon pairing. During the pre-B cell stage, the surrogate light chain (SLC) could pair with the nascent immunoglobulin μ heavy chains (Ig-μH) and promote them to function in the periphery. On the basis of this property, we designed several versions of genetically engineered "common light chain" prototypes by modifying the SLC structure. Among them, the mouse-derived VpreB1λ5Cκ light chain showed acceptable matching property with several different heavy chains without losing specificity of the original heavy chains, though the antigen affinities were variable. The extent of matching depended on the heavy chain; surprisingly, a specific heavy chain (IGHV9-3) could match with two different conventional Vκs (IGKV3-2*01 and IGKV10-96*01) without losing the antigen affinities, whereas another heavy chain (IGHV1-72) completely lost its antigen affinities by the same matching. Thus, the results suggested that the antigen recognition of the heavy chain is variably affected by the paired light chain, and that the artificial light chain, Mm_VpreB1λ5Cκ, has the potential to be a "common light chain", providing a novel system to analyze the effects of light chains in antigen recognition of heavy chains.
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16
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Collins AM, Watson CT. Immunoglobulin Light Chain Gene Rearrangements, Receptor Editing and the Development of a Self-Tolerant Antibody Repertoire. Front Immunol 2018; 9:2249. [PMID: 30349529 PMCID: PMC6186787 DOI: 10.3389/fimmu.2018.02249] [Citation(s) in RCA: 39] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2018] [Accepted: 09/10/2018] [Indexed: 11/13/2022] Open
Abstract
Discussion of the antibody repertoire usually emphasizes diversity, but a conspicuous feature of the light chain repertoire is its lack of diversity. The diversity of reported allelic variants of germline light chain genes is also limited, even in well-studied species. In this review, the implications of this lack of diversity are considered. We explore germline and rearranged light chain genes in a variety of species, with a particular focus on human and mouse genes. The importance of the number, organization and orientation of the genes for the control of repertoire development is discussed, and we consider how primary rearrangements and receptor editing together shape the expressed light chain repertoire. The resulting repertoire is dominated by just a handful of IGKV and IGLV genes. It has been hypothesized that an important function of the light chain is to guard against self-reactivity, and the role of secondary rearrangements in this process could explain the genomic organization of the light chain genes. It could also explain why the light chain repertoire is so limited. Heavy and light chain genes may have co-evolved to ensure that suitable light chain partners are usually available for each heavy chain that forms early in B cell development. We suggest that the co-evolved loci of the house mouse often became separated during the inbreeding of laboratory mice, resulting in new pairings of loci that are derived from different sub-species of the house mouse. A resulting vulnerability to self-reactivity could explain at least some mouse models of autoimmune disease.
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Affiliation(s)
- Andrew M. Collins
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Corey T. Watson
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, United States
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17
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Toledano A, Elhanati Y, Benichou JIC, Walczak AM, Mora T, Louzoun Y. Evidence for Shaping of Light Chain Repertoire by Structural Selection. Front Immunol 2018; 9:1307. [PMID: 29988361 PMCID: PMC6023962 DOI: 10.3389/fimmu.2018.01307] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2018] [Accepted: 05/25/2018] [Indexed: 11/13/2022] Open
Abstract
The naïve immunoglobulin (IG) repertoire in the blood differs from the direct output of the rearrangement process. These differences stem from selection that affects the germline gene usage and the junctional nucleotides. A major complication obscuring the details of the selection mechanism in the heavy chain is the failure to properly identify the D germline and determine the nucleotide addition and deletion in the junction region. The selection affecting junctional diversity can, however, be studied in the light chain that has no D gene. We use probabilistic and deterministic models to infer and disentangle generation and selection of the light chain, using large samples of light chains sequenced from healthy donors and transgenic mice. We have previously used similar models for the beta chain of T-cell receptors and the heavy chain of IGs. Selection is observed mainly in the CDR3. The CDR3 length and mass distributions are narrower after selection than before, indicating stabilizing selection for mid-range values. Within the CDR3, proline and cysteine undergo negative selection, while glycine undergoes positive selection. The results presented here suggest structural selection maintaining the size of the CDR3 within a limited range, and preventing turns in the CDR3 region.
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Affiliation(s)
- Adar Toledano
- Department of Mathematics, Gonda Brain Research Center, Bar Ilan University, Ramat Gan, Israel
| | - Yuval Elhanati
- Joseph Henry Laboratories, Princeton University, Princeton, NJ, United States
| | - Jennifer I C Benichou
- Department of Mathematics, Gonda Brain Research Center, Bar Ilan University, Ramat Gan, Israel
| | - Aleksandra M Walczak
- Laboratoire de Physique Théorique, UMR8549, CNRS and Ecole Normale Supérieure, Paris, France
| | - Thierry Mora
- Laboratoire de physique statistique, UMR8550, CNRS, UPMC and Ecole normale supérieure, Paris, France
| | - Yoram Louzoun
- Department of Mathematics, Gonda Brain Research Center, Bar Ilan University, Ramat Gan, Israel
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18
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Katoh H, Komura D, Konishi H, Suzuki R, Yamamoto A, Kakiuchi M, Sato R, Ushiku T, Yamamoto S, Tatsuno K, Oshima T, Nomura S, Seto Y, Fukayama M, Aburatani H, Ishikawa S. Immunogenetic Profiling for Gastric Cancers Identifies Sulfated Glycosaminoglycans as Major and Functional B Cell Antigens in Human Malignancies. Cell Rep 2018; 20:1073-1087. [PMID: 28768193 DOI: 10.1016/j.celrep.2017.07.016] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2016] [Revised: 04/30/2017] [Accepted: 07/10/2017] [Indexed: 12/20/2022] Open
Abstract
Recent successes in tumor immunotherapies have highlighted the importance of tumor immunity. However, most of the work conducted to date has been on T cell immunity, while the role of B cell immunity in cancer remains more elusive. In this study, immunogenetic repertoire profiling for tumor-infiltrating B and T cells in gastric cancers was carried out to help reveal the architecture of B cell immunity in cancer. Humoral immunity in cancer was shown to involve oligoclonal expansions of tumor-specific and private B cell repertoires. We find that B cell repertoires in cancer are shaped by somatic hypermutation (SHM) either with or without positive selection biases, the latter of which tended to be auto-reactive. Importantly, we identified sulfated glycosaminoglycans (GAGs) as major functional B cell antigens among gastric tumors. Furthermore, natural anti-sulfated GAG antibodies discovered in gastric cancer tissues showed robust growth-suppressive functions against a wide variety of human malignancies of various organs.
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Affiliation(s)
- Hiroto Katoh
- Department of Genomic Pathology, Medical Research Institute, Tokyo Medical and Dental University, 113-8510 Tokyo, Japan
| | - Daisuke Komura
- Department of Genomic Pathology, Medical Research Institute, Tokyo Medical and Dental University, 113-8510 Tokyo, Japan
| | - Hiroki Konishi
- Department of Genomic Pathology, Medical Research Institute, Tokyo Medical and Dental University, 113-8510 Tokyo, Japan
| | - Ryohei Suzuki
- Department of Genomic Pathology, Medical Research Institute, Tokyo Medical and Dental University, 113-8510 Tokyo, Japan
| | - Asami Yamamoto
- Department of Genomic Pathology, Medical Research Institute, Tokyo Medical and Dental University, 113-8510 Tokyo, Japan
| | - Miwako Kakiuchi
- Genome Science Division, Research Center for Advanced Science and Technology, University of Tokyo, 153-0041 Tokyo, Japan
| | - Reiko Sato
- Department of Genomic Pathology, Medical Research Institute, Tokyo Medical and Dental University, 113-8510 Tokyo, Japan
| | - Tetsuo Ushiku
- Department of Pathology, Graduate School of Medicine, University of Tokyo, 113-0033 Tokyo, Japan
| | - Shogo Yamamoto
- Genome Science Division, Research Center for Advanced Science and Technology, University of Tokyo, 153-0041 Tokyo, Japan
| | - Kenji Tatsuno
- Genome Science Division, Research Center for Advanced Science and Technology, University of Tokyo, 153-0041 Tokyo, Japan
| | - Takashi Oshima
- Department of Surgery, Yokohama City University, 236-0027 Kanagawa, Japan
| | - Sachiyo Nomura
- Department of Gastrointestinal Surgery, Graduate School of Medicine, University of Tokyo, 113-0033 Tokyo, Japan
| | - Yasuyuki Seto
- Department of Gastrointestinal Surgery, Graduate School of Medicine, University of Tokyo, 113-0033 Tokyo, Japan
| | - Masashi Fukayama
- Department of Pathology, Graduate School of Medicine, University of Tokyo, 113-0033 Tokyo, Japan
| | - Hiroyuki Aburatani
- Genome Science Division, Research Center for Advanced Science and Technology, University of Tokyo, 153-0041 Tokyo, Japan
| | - Shumpei Ishikawa
- Department of Genomic Pathology, Medical Research Institute, Tokyo Medical and Dental University, 113-8510 Tokyo, Japan.
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19
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On being the right size: antibody repertoire formation in the mouse and human. Immunogenetics 2017; 70:143-158. [DOI: 10.1007/s00251-017-1049-8] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2017] [Accepted: 12/04/2017] [Indexed: 01/01/2023]
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Longo NS, Rogosch T, Zemlin M, Zouali M, Lipsky PE. Mechanisms That Shape Human Antibody Repertoire Development in Mice Transgenic for Human Ig H and L Chain Loci. THE JOURNAL OF IMMUNOLOGY 2017; 198:3963-3977. [PMID: 28438896 DOI: 10.4049/jimmunol.1700133] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/03/2017] [Accepted: 03/17/2017] [Indexed: 02/03/2023]
Abstract
To determine the impact of the milieu on the development of the human B cell repertoire, we carried out a comprehensive analysis of productive and nonproductive Ig gene rearrangements from transgenic mice engineered to express single copies of the unrearranged human H chain and L chain Ig gene loci. By examining the nonproductive repertoire as an indication of the immediate product of the rearrangement machinery without an impact of selection, we discovered that the distribution of human rearrangements arising in the mouse was generally comparable to that seen in humans. However, differences between the distribution of nonproductive and productive rearrangements that reflect the impact of selection suggested species-specific selection played a role in shaping the respective repertoires. Although expression of some VH genes was similar in mouse and human (IGHV3-23, IGHV3-30, and IGHV4-59), other genes behaved differently (IGHV3-33, IGHV3-48, IGHV4-31, IGHV4-34, and IGHV1-18). Gene selection differences were also noted in L chains. Notably, nonproductive human VH rearrangements in the transgenic mice expressed shorter CDRH3 with less N addition. Even the CDRH3s in the productive rearrangements were shorter in length than those of the normal human productive repertoire. Amino acids in the CDRH3s in both species showed positive selection of tyrosines and glycines, and negative selection of leucines. The data indicate that the environment in which B cells develop can affect the expressed Ig repertoire by exerting influences on the distribution of expressed VH and VL genes and by influencing the amino acid composition of the Ag binding site.
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Affiliation(s)
- Nancy S Longo
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892
| | - Tobias Rogosch
- Pediatric Immunology and Allergology, Department of Pediatrics, Philipps-University Marburg, D-35033 Marburg, Germany
| | - Michael Zemlin
- Klinik für Kinder-und Jugendmedizin, Universitätsklinikum Gießen und Marburg GmbH, Standort Marburg, D-35033 Marburg, Germany.,Department of General Pediatrics and Neonatology, Saarland University Medical School, D-66421 Homburg, Germany
| | - Moncef Zouali
- INSERM & Université Paris Diderot, Sorbonne Paris Cité Centre Viggo Petersen, Hôpital Lariboisière, 75475 Paris, France; and
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21
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Senescent cells expose and secrete an oxidized form of membrane-bound vimentin as revealed by a natural polyreactive antibody. Proc Natl Acad Sci U S A 2017; 114:E1668-E1677. [PMID: 28193858 DOI: 10.1073/pnas.1614661114] [Citation(s) in RCA: 88] [Impact Index Per Article: 12.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023] Open
Abstract
Studying the phenomenon of cellular senescence has been hindered by the lack of senescence-specific markers. As such, detection of proteins informally associated with senescence accompanies the use of senescence-associated β-galactosidase as a collection of semiselective markers to monitor the presence of senescent cells. To identify novel biomarkers of senescence, we immunized BALB/c mice with senescent mouse lung fibroblasts and screened for antibodies that recognized senescence-associated cell-surface antigens by FACS analysis and a newly developed cell-based ELISA. The majority of antibodies that we isolated, cloned, and sequenced belonged to the IgM isotype of the innate immune system. In-depth characterization of one of these monoclonal, polyreactive natural antibodies, the IgM clone 9H4, revealed its ability to recognize the intermediate filament vimentin. By using 9H4, we observed that senescent primary human fibroblasts express vimentin on their cell surface, and MS analysis revealed a posttranslational modification on cysteine 328 (C328) by the oxidative adduct malondialdehyde (MDA). Moreover, elevated levels of secreted MDA-modified vimentin were detected in the plasma of aged senescence-accelerated mouse prone 8 mice, which are known to have deregulated reactive oxygen species metabolism and accelerated aging. Based on these findings, we hypothesize that humoral innate immunity may recognize senescent cells by the presence of membrane-bound MDA-vimentin, presumably as part of a senescence eradication mechanism that may become impaired with age and result in senescent cell accumulation.
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22
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DeKosky BJ, Lungu OI, Park D, Johnson EL, Charab W, Chrysostomou C, Kuroda D, Ellington AD, Ippolito GC, Gray JJ, Georgiou G. Large-scale sequence and structural comparisons of human naive and antigen-experienced antibody repertoires. Proc Natl Acad Sci U S A 2016; 113:E2636-45. [PMID: 27114511 PMCID: PMC4868480 DOI: 10.1073/pnas.1525510113] [Citation(s) in RCA: 138] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
Elucidating how antigen exposure and selection shape the human antibody repertoire is fundamental to our understanding of B-cell immunity. We sequenced the paired heavy- and light-chain variable regions (VH and VL, respectively) from large populations of single B cells combined with computational modeling of antibody structures to evaluate sequence and structural features of human antibody repertoires at unprecedented depth. Analysis of a dataset comprising 55,000 antibody clusters from CD19(+)CD20(+)CD27(-) IgM-naive B cells, >120,000 antibody clusters from CD19(+)CD20(+)CD27(+) antigen-experienced B cells, and >2,000 RosettaAntibody-predicted structural models across three healthy donors led to a number of key findings: (i) VH and VL gene sequences pair in a combinatorial fashion without detectable pairing restrictions at the population level; (ii) certain VH:VL gene pairs were significantly enriched or depleted in the antigen-experienced repertoire relative to the naive repertoire; (iii) antigen selection increased antibody paratope net charge and solvent-accessible surface area; and (iv) public heavy-chain third complementarity-determining region (CDR-H3) antibodies in the antigen-experienced repertoire showed signs of convergent paired light-chain genetic signatures, including shared light-chain third complementarity-determining region (CDR-L3) amino acid sequences and/or Vκ,λ-Jκ,λ genes. The data reported here address several longstanding questions regarding antibody repertoire selection and development and provide a benchmark for future repertoire-scale analyses of antibody responses to vaccination and disease.
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Affiliation(s)
- Brandon J DeKosky
- Department of Chemical Engineering, University of Texas at Austin, Austin, TX 78712
| | - Oana I Lungu
- Department of Chemical Engineering, University of Texas at Austin, Austin, TX 78712; Department of Molecular Biosciences, University of Texas at Austin, Austin, TX 78712
| | - Daechan Park
- Department of Chemical Engineering, University of Texas at Austin, Austin, TX 78712; Department of Molecular Biosciences, University of Texas at Austin, Austin, TX 78712
| | - Erik L Johnson
- Department of Chemical Engineering, University of Texas at Austin, Austin, TX 78712
| | - Wissam Charab
- Department of Chemical Engineering, University of Texas at Austin, Austin, TX 78712
| | | | - Daisuke Kuroda
- Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD 21218
| | - Andrew D Ellington
- Center for Systems and Synthetic Biology University of Texas at Austin, Austin, TX 78712
| | - Gregory C Ippolito
- Department of Molecular Biosciences, University of Texas at Austin, Austin, TX 78712
| | - Jeffrey J Gray
- Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD 21218
| | - George Georgiou
- Department of Chemical Engineering, University of Texas at Austin, Austin, TX 78712; Department of Molecular Biosciences, University of Texas at Austin, Austin, TX 78712; Institute for Cell and Molecular Biology, University of Texas at Austin, Austin, TX 78712; Department of Biomedical Engineering, University of Texas at Austin, Austin, TX 78712
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23
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Bornholdt ZA, Turner HL, Murin CD, Li W, Sok D, Souders CA, Piper AE, Goff A, Shamblin JD, Wollen SE, Sprague TR, Fusco ML, Pommert KBJ, Cavacini LA, Smith HL, Klempner M, Reimann KA, Krauland E, Gerngross TU, Wittrup KD, Saphire EO, Burton DR, Glass PJ, Ward AB, Walker LM. Isolation of potent neutralizing antibodies from a survivor of the 2014 Ebola virus outbreak. Science 2016; 351:1078-83. [PMID: 26912366 DOI: 10.1126/science.aad5788] [Citation(s) in RCA: 163] [Impact Index Per Article: 20.4] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2015] [Accepted: 02/08/2016] [Indexed: 12/30/2022]
Abstract
Antibodies targeting the Ebola virus surface glycoprotein (EBOV GP) are implicated in protection against lethal disease, but the characteristics of the human antibody response to EBOV GP remain poorly understood. We isolated and characterized 349 GP-specific monoclonal antibodies (mAbs) from the peripheral B cells of a convalescent donor who survived the 2014 EBOV Zaire outbreak. Remarkably, 77% of the mAbs neutralize live EBOV, and several mAbs exhibit unprecedented potency. Structures of selected mAbs in complex with GP reveal a site of vulnerability located in the GP stalk region proximal to the viral membrane. Neutralizing antibodies targeting this site show potent therapeutic efficacy against lethal EBOV challenge in mice. The results provide a framework for the design of new EBOV vaccine candidates and immunotherapies.
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Affiliation(s)
- Zachary A Bornholdt
- Department of Immunology and Microbial Science, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Hannah L Turner
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Charles D Murin
- Department of Immunology and Microbial Science, The Scripps Research Institute, La Jolla, CA 92037, USA. Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Wen Li
- Adimab, Lebanon, NH 03766, USA
| | - Devin Sok
- Department of Immunology and Microbial Science, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Colby A Souders
- MassBiologics, University of Massachusetts Medical School, Boston, MA 02126, USA
| | - Ashley E Piper
- U.S. Army Medical Research Institute of Infectious Diseases, Frederick, MD 21702, USA
| | - Arthur Goff
- U.S. Army Medical Research Institute of Infectious Diseases, Frederick, MD 21702, USA
| | - Joshua D Shamblin
- U.S. Army Medical Research Institute of Infectious Diseases, Frederick, MD 21702, USA
| | - Suzanne E Wollen
- U.S. Army Medical Research Institute of Infectious Diseases, Frederick, MD 21702, USA
| | - Thomas R Sprague
- U.S. Army Medical Research Institute of Infectious Diseases, Frederick, MD 21702, USA
| | - Marnie L Fusco
- Department of Immunology and Microbial Science, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Kathleen B J Pommert
- Department of Immunology and Microbial Science, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Lisa A Cavacini
- MassBiologics, University of Massachusetts Medical School, Boston, MA 02126, USA
| | - Heidi L Smith
- MassBiologics, University of Massachusetts Medical School, Boston, MA 02126, USA
| | - Mark Klempner
- MassBiologics, University of Massachusetts Medical School, Boston, MA 02126, USA
| | - Keith A Reimann
- MassBiologics, University of Massachusetts Medical School, Boston, MA 02126, USA
| | | | | | | | - Erica Ollmann Saphire
- Department of Immunology and Microbial Science, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Dennis R Burton
- Department of Immunology and Microbial Science, The Scripps Research Institute, La Jolla, CA 92037, USA. Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology, and Harvard University, Cambridge, MA 02142, USA
| | - Pamela J Glass
- U.S. Army Medical Research Institute of Infectious Diseases, Frederick, MD 21702, USA
| | - Andrew B Ward
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
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24
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Paciello G, Acquaviva A, Pighi C, Ferrarini A, Macii E, Zamo’ A, Ficarra E. VDJSeq-Solver: in silico V(D)J recombination detection tool. PLoS One 2015; 10:e0118192. [PMID: 25799103 PMCID: PMC4370828 DOI: 10.1371/journal.pone.0118192] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2014] [Accepted: 01/05/2015] [Indexed: 11/29/2022] Open
Abstract
In this paper we present VDJSeq-Solver, a methodology and tool to identify clonal lymphocyte populations from paired-end RNA Sequencing reads derived from the sequencing of mRNA neoplastic cells. The tool detects the main clone that characterises the tissue of interest by recognizing the most abundant V(D)J rearrangement among the existing ones in the sample under study. The exact sequence of the clone identified is capable of accounting for the modifications introduced by the enzymatic processes. The proposed tool overcomes limitations of currently available lymphocyte rearrangements recognition methods, working on a single sequence at a time, that are not applicable to high-throughput sequencing data. In this work, VDJSeq-Solver has been applied to correctly detect the main clone and identify its sequence on five Mantle Cell Lymphoma samples; then the tool has been tested on twelve Diffuse Large B-Cell Lymphoma samples. In order to comply with the privacy, ethics and intellectual property policies of the University Hospital and the University of Verona, data is available upon request to supporto.utenti@ateneo.univr.it after signing a mandatory Materials Transfer Agreement. VDJSeq-Solver JAVA/Perl/Bash software implementation is free and available at http://eda.polito.it/VDJSeq-Solver/.
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Affiliation(s)
- Giulia Paciello
- Department of Control and Computer Engineering, Politecnico di Torino, Torino, Italy
- * E-mail:
| | - Andrea Acquaviva
- Department of Control and Computer Engineering, Politecnico di Torino, Torino, Italy
| | - Chiara Pighi
- Department of Pathology and Diagnostics, University of Verona, Verona, Italy
- Department of Pathology, Children Hospital Boston, Harvard Medical School, Boston, USA
| | | | - Enrico Macii
- Department of Control and Computer Engineering, Politecnico di Torino, Torino, Italy
| | - Alberto Zamo’
- Department of Pathology and Diagnostics, University of Verona, Verona, Italy
| | - Elisa Ficarra
- Department of Control and Computer Engineering, Politecnico di Torino, Torino, Italy
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25
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Watson CT, Steinberg KM, Graves TA, Warren RL, Malig M, Schein J, Wilson RK, Holt RA, Eichler EE, Breden F. Sequencing of the human IG light chain loci from a hydatidiform mole BAC library reveals locus-specific signatures of genetic diversity. Genes Immun 2015; 16:24-34. [PMID: 25338678 PMCID: PMC4304971 DOI: 10.1038/gene.2014.56] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2014] [Revised: 09/03/2014] [Accepted: 09/03/2014] [Indexed: 12/24/2022]
Abstract
Germline variation at immunoglobulin (IG) loci is critical for pathogen-mediated immunity, but establishing complete haplotype sequences in these regions has been problematic because of complex sequence architecture and diploid source DNA. We sequenced BAC clones from the effectively haploid human hydatidiform mole cell line, CHM1htert, across the light chain IG loci, kappa (IGK) and lambda (IGL), creating single haplotype representations of these regions. The IGL haplotype generated here is 1.25 Mb of contiguous sequence, including four novel IGLV alleles, one novel IGLC allele, and an 11.9-kb insertion. The CH17 IGK haplotype consists of two 644 kb proximal and 466 kb distal contigs separated by a large gap of unknown size; these assemblies added 49 kb of unique sequence extending into this gap. Our analysis also resulted in the characterization of seven novel IGKV alleles and a 16.7-kb region exhibiting signatures of interlocus sequence exchange between distal and proximal IGKV gene clusters. Genetic diversity in IGK/IGL was compared with that of the IG heavy chain (IGH) locus within the same haploid genome, revealing threefold (IGK) and sixfold (IGL) higher diversity in the IGH locus, potentially associated with increased levels of segmental duplication and the telomeric location of IGH.
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Affiliation(s)
- C T Watson
- Department of Biological Sciences, Simon Fraser University, Burnaby, British Columbia, Canada
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - K M Steinberg
- Department of Genome Sciences, University of Washington, Seattle, WA USA
- The Genome Institute, Washington University, St Louis, MO USA
| | - T A Graves
- The Genome Institute, Washington University, St Louis, MO USA
| | - R L Warren
- Genome Sciences Centre, BC Cancer Agency, Vancouver, British Columbia Canada
| | - M Malig
- Department of Genome Sciences, University of Washington, Seattle, WA USA
| | - J Schein
- Genome Sciences Centre, BC Cancer Agency, Vancouver, British Columbia Canada
| | - R K Wilson
- The Genome Institute, Washington University, St Louis, MO USA
| | - R A Holt
- Genome Sciences Centre, BC Cancer Agency, Vancouver, British Columbia Canada
| | - E E Eichler
- Department of Genome Sciences, University of Washington, Seattle, WA USA
- Howard Hughes Medical Institute, Seattle, WA USA
| | - F Breden
- Department of Biological Sciences, Simon Fraser University, Burnaby, British Columbia, Canada
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26
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B-cell repertoire responses to varicella-zoster vaccination in human identical twins. Proc Natl Acad Sci U S A 2014; 112:500-5. [PMID: 25535378 DOI: 10.1073/pnas.1415875112] [Citation(s) in RCA: 84] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023] Open
Abstract
Adaptive immune responses in humans rely on somatic genetic rearrangements of Ig and T-cell receptor loci to generate diverse antigen receptors. It is unclear to what extent an individual's genetic background affects the characteristics of the antibody repertoire used in responding to vaccination or infection. We studied the B-cell repertoires and clonal expansions in response to attenuated varicella-zoster vaccination in four pairs of adult identical twins and found that the global antibody repertoires of twin pair members showed high similarity in antibody heavy chain V, D, and J gene segment use, and in the length and features of the complementarity-determining region 3, a major determinant of antigen binding. These twin similarities were most pronounced in the IgM-expressing B-cell pools, but were seen to a lesser extent in IgG-expressing B cells. In addition, the degree of antibody somatic mutation accumulated in the B-cell repertoire was highly correlated within twin pair members. Twin pair members had greater numbers of shared convergent antibody sequences, including mutated sequences, suggesting similarity among memory B-cell clonal lineages. Despite these similarities in the memory repertoire, the B-cell clones used in acute responses to ZOSTAVAX vaccination were largely unique to each individual. Taken together, these results suggest that the overall B-cell repertoire is significantly shaped by the underlying germ-line genome, but that stochastic or individual-specific effects dominate the selection of clones in response to an acute antigenic stimulus.
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27
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In-depth determination and analysis of the human paired heavy- and light-chain antibody repertoire. Nat Med 2014; 21:86-91. [PMID: 25501908 DOI: 10.1038/nm.3743] [Citation(s) in RCA: 267] [Impact Index Per Article: 26.7] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2014] [Accepted: 10/08/2014] [Indexed: 12/19/2022]
Abstract
High-throughput immune repertoire sequencing has emerged as a critical step in the understanding of adaptive responses following infection or vaccination or in autoimmunity. However, determination of native antibody variable heavy-light pairs (VH-VL pairs) remains a major challenge, and no technologies exist to adequately interrogate the >1 × 10(6) B cells in typical specimens. We developed a low-cost, single-cell, emulsion-based technology for sequencing antibody VH-VL repertoires from >2 × 10(6) B cells per experiment with demonstrated pairing precision >97%. A simple flow-focusing apparatus was used to sequester single B cells into emulsion droplets containing lysis buffer and magnetic beads for mRNA capture; subsequent emulsion RT-PCR generated VH-VL amplicons for next-generation sequencing. Massive VH-VL repertoire analyses of three human donors provided new immunological insights including (i) the identity, frequency and pairing propensity of shared, or 'public', VL genes, (ii) the detection of allelic inclusion (an implicated autoimmune mechanism) in healthy individuals and (iii) the occurrence of antibodies with features, in terms of gene usage and CDR3 length, associated with broadly neutralizing antibodies to rapidly evolving viruses such as HIV-1 and influenza.
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28
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The promise and challenge of high-throughput sequencing of the antibody repertoire. Nat Biotechnol 2014; 32:158-68. [PMID: 24441474 PMCID: PMC4113560 DOI: 10.1038/nbt.2782] [Citation(s) in RCA: 471] [Impact Index Per Article: 47.1] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2013] [Accepted: 12/04/2013] [Indexed: 12/16/2022]
Abstract
Georgiou and colleagues discuss rapidly evolving methods for high-throughput sequencing of the antibody repertoire, and how the resulting data may be applied to answer basic and translational research questions. Efforts to determine the antibody repertoire encoded by B cells in the blood or lymphoid organs using high-throughput DNA sequencing technologies have been advancing at an extremely rapid pace and are transforming our understanding of humoral immune responses. Information gained from high-throughput DNA sequencing of immunoglobulin genes (Ig-seq) can be applied to detect B-cell malignancies with high sensitivity, to discover antibodies specific for antigens of interest, to guide vaccine development and to understand autoimmunity. Rapid progress in the development of experimental protocols and informatics analysis tools is helping to reduce sequencing artifacts, to achieve more precise quantification of clonal diversity and to extract the most pertinent biological information. That said, broader application of Ig-seq, especially in clinical settings, will require the development of a standardized experimental design framework that will enable the sharing and meta-analysis of sequencing data generated by different laboratories.
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29
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Valdés-Alemán J, Téllez-Sosa J, Ovilla-Muñoz M, Godoy-Lozano E, Velázquez-Ramírez D, Valdovinos-Torres H, Gómez-Barreto RE, Martinez-Barnetche J. Hybridization-based antibody cDNA recovery for the production of recombinant antibodies identified by repertoire sequencing. MAbs 2013; 6:493-501. [PMID: 24492293 DOI: 10.4161/mabs.27435] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
High-throughput sequencing of the antibody repertoire is enabling a thorough analysis of B cell diversity and clonal selection, which may improve the novel antibody discovery process. Theoretically, an adequate bioinformatic analysis could allow identification of candidate antigen-specific antibodies, requiring their recombinant production for experimental validation of their specificity. Gene synthesis is commonly used for the generation of recombinant antibodies identified in silico. Novel strategies that bypass gene synthesis could offer more accessible antibody identification and validation alternatives. We developed a hybridization-based recovery strategy that targets the complementarity-determining region 3 (CDRH3) for the enrichment of cDNA of candidate antigen-specific antibody sequences. Ten clonal groups of interest were identified through bioinformatic analysis of the heavy chain antibody repertoire of mice immunized with hen egg white lysozyme (HEL). cDNA from eight of the targeted clonal groups was recovered efficiently, leading to the generation of recombinant antibodies. One representative heavy chain sequence from each clonal group recovered was paired with previously reported anti-HEL light chains to generate full antibodies, later tested for HEL-binding capacity. The recovery process proposed represents a simple and scalable molecular strategy that could enhance antibody identification and specificity assessment, enabling a more cost-efficient generation of recombinant antibodies.
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Affiliation(s)
- Javier Valdés-Alemán
- Departamento de Inmunología; Centro de Investigación Sobre Enfermedades Infecciosas; Instituto Nacional de Salud Pública; Cuernavaca, México; Programa de Ingeniería en Biotecnología; Universidad Politécnica del Estado de Morelos; Jiutepec, México
| | - Juan Téllez-Sosa
- Departamento de Inmunología; Centro de Investigación Sobre Enfermedades Infecciosas; Instituto Nacional de Salud Pública; Cuernavaca, México
| | - Marbella Ovilla-Muñoz
- Departamento de Inmunología; Centro de Investigación Sobre Enfermedades Infecciosas; Instituto Nacional de Salud Pública; Cuernavaca, México
| | - Elizabeth Godoy-Lozano
- Departamento de Inmunología; Centro de Investigación Sobre Enfermedades Infecciosas; Instituto Nacional de Salud Pública; Cuernavaca, México
| | - Daniel Velázquez-Ramírez
- Departamento de Inmunología; Centro de Investigación Sobre Enfermedades Infecciosas; Instituto Nacional de Salud Pública; Cuernavaca, México
| | - Humberto Valdovinos-Torres
- Departamento de Inmunología; Centro de Investigación Sobre Enfermedades Infecciosas; Instituto Nacional de Salud Pública; Cuernavaca, México
| | - Rosa E Gómez-Barreto
- Departamento de Inmunología; Centro de Investigación Sobre Enfermedades Infecciosas; Instituto Nacional de Salud Pública; Cuernavaca, México
| | - Jesús Martinez-Barnetche
- Departamento de Inmunología; Centro de Investigación Sobre Enfermedades Infecciosas; Instituto Nacional de Salud Pública; Cuernavaca, México
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30
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Jackson KJL, Kidd MJ, Wang Y, Collins AM. The shape of the lymphocyte receptor repertoire: lessons from the B cell receptor. Front Immunol 2013; 4:263. [PMID: 24032032 PMCID: PMC3759170 DOI: 10.3389/fimmu.2013.00263] [Citation(s) in RCA: 81] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2013] [Accepted: 08/19/2013] [Indexed: 11/13/2022] Open
Abstract
Both the B cell receptor (BCR) and the T cell receptor (TCR) repertoires are generated through essentially identical processes of V(D)J recombination, exonuclease trimming of germline genes, and the random addition of non-template encoded nucleotides. The naïve TCR repertoire is constrained by thymic selection, and TCR repertoire studies have therefore focused strongly on the diversity of MHC-binding complementarity determining region (CDR) CDR3. The process of somatic point mutations has given B cell studies a major focus on variable (IGHV, IGLV, and IGKV) genes. This in turn has influenced how both the naïve and memory BCR repertoires have been studied. Diversity (D) genes are also more easily identified in BCR VDJ rearrangements than in TCR VDJ rearrangements, and this has allowed the processes and elements that contribute to the incredible diversity of the immunoglobulin heavy chain CDR3 to be analyzed in detail. This diversity can be contrasted with that of the light chain where a small number of polypeptide sequences dominate the repertoire. Biases in the use of different germline genes, in gene processing, and in the addition of non-template encoded nucleotides appear to be intrinsic to the recombination process, imparting "shape" to the repertoire of rearranged genes as a result of differences spanning many orders of magnitude in the probabilities that different BCRs will be generated. This may function to increase the precursor frequency of naïve B cells with important specificities, and the likely emergence of such B cell lineages upon antigen exposure is discussed with reference to public and private T cell clonotypes.
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Affiliation(s)
- Katherine J. L. Jackson
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Marie J. Kidd
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Yan Wang
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Andrew M. Collins
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, Australia
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31
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Intrinsic bias and public rearrangements in the human immunoglobulin Vλ light chain repertoire. Genes Immun 2013; 14:271-6. [DOI: 10.1038/gene.2013.10] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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32
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Vas J, Grönwall C, Silverman GJ. Fundamental roles of the innate-like repertoire of natural antibodies in immune homeostasis. Front Immunol 2013; 4:4. [PMID: 23386848 PMCID: PMC3564042 DOI: 10.3389/fimmu.2013.00004] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2012] [Accepted: 01/03/2013] [Indexed: 11/13/2022] Open
Abstract
The composition of the early immune repertoire is biased with prominent expression of spontaneously arising B cell clones that produce IgM with recurrent and often autoreactive binding specificities. Amongst these naturally arising antibodies (NAbs) are IgM antibodies that specifically recognized amaged and senescent cells, often via oxidation-associated neo-determinants. These NAbs are present from birth and can be further boosted by apoptotic cell challenge. Recent studies have shown that IgM NAb to apoptotic cells can enhance phagocytic clearance, as well as suppress proinflammatory responses induced via Toll-like receptors, and block pathogenic IgG-immune complex (IC)-mediated inflammatory responses. Specific antibody effector functions appear to be involved, as these anti-inflammatory properties are dependent on IgM-mediated recruitment of the early recognition factors of complement. Clinical surveys have suggested that anti-apoptotic cell (AC) IgM NAbs may modulate disease activity in some patients with autoimmune disease. In mechanistic studies, anti-AC NAbs were shown to act in dendritic cells by inhibition of the mitogen-activated protein kinase (MAPK) pathway, a primary signal transduction pathway that controls inflammatory responses. This immunomodulatory pathway has an absolute requirement for the induction of MAPK phosphatase-1. Taken together, recent studies have elucidated the novel properties of a class of protective NAbs, which may directly blunt inflammatory responses through a primitive pathway for regulation of the innate immune system.
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Affiliation(s)
- Jaya Vas
- Laboratory of B Cell Immunobiology, Department of Medicine, New York University School of Medicine New York, NY, USA
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33
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Rubelt F, Sievert V, Knaust F, Diener C, Lim TS, Skriner K, Klipp E, Reinhardt R, Lehrach H, Konthur Z. Onset of immune senescence defined by unbiased pyrosequencing of human immunoglobulin mRNA repertoires. PLoS One 2012; 7:e49774. [PMID: 23226220 PMCID: PMC3511497 DOI: 10.1371/journal.pone.0049774] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2012] [Accepted: 10/12/2012] [Indexed: 12/15/2022] Open
Abstract
The immune system protects us from foreign substances or pathogens by generating specific antibodies. The variety of immunoglobulin (Ig) paratopes for antigen recognition is a result of the V(D)J rearrangement mechanism, while a fast and efficient immune response is mediated by specific immunoglobulin isotypes obtained through class switch recombination (CSR). To get a better understanding on how antibody-based immune protection works and how it changes with age, the interdependency between these two parameters need to be addressed. Here, we have performed an in depth analysis of antibody repertoires of 14 healthy donors representing different gender and age groups. For this task, we developed a unique pyrosequencing approach, which is able to monitor the expression levels of all immunoglobulin V(D)J recombinations of all isotypes including subtypes in an unbiased and quantitative manner. Our results show that donors have individual immunoglobulin repertoires and cannot be clustered according to V(D)J recombination patterns, neither by age nor gender. However, after incorporating isotype-specific analysis and considering CSR information into hierarchical clustering the situation changes. For the first time the donors cluster according to age and separate into young adults and elderly donors (>50). As a direct consequence, this clustering defines the onset of immune senescence at the age of fifty and beyond. The observed age-dependent reduction of CSR ability proposes a feasible explanation why reduced efficacy of vaccination is seen in the elderly and implies that novel vaccine strategies for the elderly should include the "Golden Agers".
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Affiliation(s)
- Florian Rubelt
- Max Planck Institute for Molecular Genetics, Berlin, Germany
- Faculty of Biology, Chemistry, and Pharmacy, Freie Universität Berlin, Berlin, Germany
| | - Volker Sievert
- Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - Florian Knaust
- Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - Christian Diener
- Max Planck Institute for Molecular Genetics, Berlin, Germany
- Theoretische Biophysik, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Theam Soon Lim
- Max Planck Institute for Molecular Genetics, Berlin, Germany
- Institute for Research in Molecular Medicine, Universiti Sains Malaysia, Penang, Malaysia
| | - Karl Skriner
- Department of Rheumatology and Clinical Immunology, Charité – Universitätsmedizin Berlin, Berlin, Germany
| | - Edda Klipp
- Theoretische Biophysik, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Richard Reinhardt
- Max Planck Institute for Molecular Genetics, Berlin, Germany
- Max Planck Genome Centre Cologne, Max Planck Institute for Plant Breeding Research, Cologne, Germany
| | - Hans Lehrach
- Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - Zoltán Konthur
- Max Planck Institute for Molecular Genetics, Berlin, Germany
- * E-mail:
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Mehr R, Sternberg-Simon M, Michaeli M, Pickman Y. Models and methods for analysis of lymphocyte repertoire generation, development, selection and evolution. Immunol Lett 2012; 148:11-22. [PMID: 22902400 DOI: 10.1016/j.imlet.2012.08.002] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2011] [Revised: 08/01/2012] [Accepted: 08/03/2012] [Indexed: 01/10/2023]
Abstract
T and B cell receptor repertoires are diversified by variable region gene rearrangement and selected based on functionality and lack of self-reactivity. Repertoires can also be defined based on phenotype and function rather than receptor specificity - such as the diversity of T helper cell subsets. Natural killer (NK) cell repertoires, in which each cell expresses a randomly chosen subset of its inhibitory receptor genes, and is educated based on self-MHC recognition by yet unknown mechanisms, are also phenotypic repertoires. Studying the generation, development and selection of lymphocyte repertoires, and their functions during immune responses, is essential for understanding the function of the immune system in healthy individuals and in immune deficient, autoimmune or cancer patients. The study of lymphocyte repertoires will enable clinical immunologists to develop better therapeutic monoclonal antibodies, vaccines, transplantation donor-recipient matching protocols, and other immune intervention strategies. The recent development of high-throughput methods for repertoire data collection - from multicolor flow cytometry through single-cell imaging to deep sequencing - presents us now, for the first time, with the ability to analyze and compare large samples of lymphocyte repertoires in health, aging and disease. The exponential growth of these datasets, however, challenges the theoretical immunology community to develop methods for data organization and analysis. Furthermore, the need to test hypotheses regarding immune function, and generate predictions regarding the outcomes of medical interventions, necessitates the development of complex mathematical and computational models, covering processes on multiple scales, from the genetic and molecular to the cellular and system scales.
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Affiliation(s)
- Ramit Mehr
- The Mina and Everard Goodman Faculty of Life Sciences, Bar-Ilan University, Ramat-Gan 52900, Israel.
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Abstract
Rheumatologists see patients with a range of autoimmune diseases. Phenotyping these diseases for diagnosis, prognosis and selection of therapies is an ever increasing problem. Advances in multiplexed assay technology at the gene, protein, and cellular level have enabled the identification of 'actionable biomarkers'; that is, biological metrics that can inform clinical practice. Not only will such biomarkers yield insight into the development, remission, and exacerbation of a disease, they will undoubtedly improve diagnostic sensitivity and accuracy of classification, and ultimately guide treatment. This Review provides an introduction to these powerful technologies that could promote the identification of actionable biomarkers, including mass cytometry, protein arrays, and immunoglobulin and T-cell receptor high-throughput sequencing. In our opinion, these technologies should become part of routine clinical practice for the management of autoimmune diseases. The use of analytical tools to deconvolve the data obtained from use of these technologies is also presented here. These analyses are revealing a more comprehensive and interconnected view of the immune system than ever before and should have an important role in directing future treatment approaches for autoimmune diseases.
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