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Schulte D, Peng W, Snijder J. Template-Based Assembly of Proteomic Short Reads For De Novo Antibody Sequencing and Repertoire Profiling. Anal Chem 2022; 94:10391-10399. [PMID: 35834437 PMCID: PMC9330293 DOI: 10.1021/acs.analchem.2c01300] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
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Antibodies can target a vast molecular diversity of antigens.
This
is achieved by generating a complementary diversity of antibody sequences
through somatic recombination and hypermutation. A full understanding
of the antibody repertoire in health and disease therefore requires
dedicated de novo sequencing methods. Next-generation
cDNA sequencing methods have laid the foundation of our current understanding
of the antibody repertoire, but these methods share one major limitation
in that they target the antibody-producing B-cells, rather than the
functional secreted product in bodily fluids. Mass spectrometry-based
methods offer an opportunity to bridge this gap between antibody repertoire
profiling and bulk serological assays, as they can access antibody
sequence information straight from the secreted polypeptide products.
In a step to meeting the challenge of mass spectrometry (MS)-based
antibody sequencing, we present a fast and simple software tool (Stitch)
to map proteomic short reads to user-defined templates with dedicated
features for both monoclonal antibody sequencing and profiling of
polyclonal antibody repertoires. We demonstrate the use of Stitch
by fully reconstructing two monoclonal antibody sequences with >98%
accuracy (including I/L assignment); sequencing a Fab from patient
serum isolated by reversed-phase liquid chromatography (LC) fractionation
against a high background of homologous antibody sequences; sequencing
antibody light chains from the urine of multiple-myeloma patients;
and profiling the IgG repertoire in sera from patients hospitalized
with COVID-19. We demonstrate that Stitch assembles a comprehensive
overview of the antibody sequences that are represented in the dataset
and provides an important first step toward analyzing polyclonal antibodies
and repertoire profiling.
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Affiliation(s)
- Douwe Schulte
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute of Pharmaceutical Sciences, Utrecht University, Padualaan 8, 3584 CH Utrecht, The Netherlands
| | - Weiwei Peng
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute of Pharmaceutical Sciences, Utrecht University, Padualaan 8, 3584 CH Utrecht, The Netherlands
| | - Joost Snijder
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute of Pharmaceutical Sciences, Utrecht University, Padualaan 8, 3584 CH Utrecht, The Netherlands
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Antibody Levels to Plasmodium falciparum Erythrocyte Membrane Protein 1-DBLγ11 and DBLδ-1 Predict Reduction in Parasite Density. mSystems 2021; 6:e0034721. [PMID: 34128693 PMCID: PMC8269226 DOI: 10.1128/msystems.00347-21] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
Plasmodium falciparum erythrocyte membrane protein 1 (PfEMP1) is a variant surface antigen family expressed on infected red blood cells that plays a role in immune evasion and mediates adhesion to vascular endothelium. PfEMP1s are potential targets of protective antibodies as suggested by previous seroepidemiology studies. Here, we used previously reported proteomic analyses of PfEMP1s of clinical parasite isolates collected from Malian children to identify targets of immunity. We designed a peptide library representing 11 PfEMP1 domains commonly identified on clinical isolates by membrane proteomics and then examined peptide-specific antibody responses in Malian children. The number of previous malaria infections was associated with development of PfEMP1 antibodies to peptides from domains CIDRα1.4, DBLγ11, DBLβ3, and DBLδ1. A zero-inflated negative binomial model with random effects (ZINBRE) was used to identify peptide reactivities that were associated with malaria risk. This peptide selection and serosurvey strategy revealed that high antibody levels to peptides from DBLγ11 and DBLδ1 domains correlated with decreased parasite burden in future infections, supporting the notion that specific PfEMP1 domains play a role in protective immunity. IMPORTANCEPlasmodium infection causes devastating disease and high mortality in young children. Immunity develops progressively as children acquire protection against severe disease, although reinfections and recrudescences still occur throughout life in areas of endemicity, partly due to parasite immunoevasion via switching of variant proteins such as Plasmodium falciparum erythrocyte membrane protein 1 (PfEMP1) expressed on the infected erythrocyte surface. Understanding the mechanisms behind antibody protection can advance development of new therapeutic interventions that address this challenge. PfEMP1 domain-specific antibodies have been linked to reduction in severe malaria; however, the large diversity of PfEMP1 domains in circulating parasites has not been fully investigated. We designed representative peptides based on B cell epitopes of PfEMP1 domains identified in membranes of clinical parasite isolates and surveyed peptide-specific antibody responses among young Malian children in a longitudinal birth cohort. We examined previous infections and age as factors contributing to antibody acquisition and identified antibody specificities that predict malaria risk.
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Coelho CH, Nadakal ST, Gonzales Hurtado P, Morrison R, Galson JD, Neal J, Wu Y, King CR, Price V, Miura K, Wong-Madden S, Alamou Doritchamou JY, Narum DL, MacDonald NJ, Snow-Smith M, Vignali M, Taylor JJ, Lefranc MP, Trück J, Long CA, Sagara I, Fried M, Duffy PE. Antimalarial antibody repertoire defined by plasma IG proteomics and single B cell IG sequencing. JCI Insight 2020; 5:143471. [PMID: 33048842 PMCID: PMC7710313 DOI: 10.1172/jci.insight.143471] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Accepted: 10/07/2020] [Indexed: 01/15/2023] Open
Abstract
Plasma antimalarial Ab can mediate antiparasite immunity but has not previously been characterized at the molecular level. Here, we develop an innovative strategy to characterize humoral responses by integrating profiles of plasma immunoglobulins (IGs) or Abs with those expressed on B cells as part of the B cell receptor. We applied this strategy to define plasma IG and to determine variable (V) gene usage after vaccination with the Plasmodium falciparum zygote antigen Pfs25. Using proteomic tools coupled with bulk immunosequencing data, we determined human antigen-binding fragment [F(ab')2] peptide sequences from plasma IG of adults who received 4 doses of Pfs25-EPA/Alhydrogel. Specifically, Pfs25 antigen-specific F(ab')2 peptides (Pfs25-IG) were aligned to cDNA sequences of IG heavy (IGH) chain complementarity determining region 3 from a data set generated by total peripheral B cell immunosequencing of the entire vaccinated population. IGHV4 was the most commonly identified IGHV subgroup of Pfs25-IG, a pattern that was corroborated by V heavy/V light chain sequencing of Pfs25-specific single B cells from 5 vaccinees and by matching plasma Pfs25-IG peptides and V-(D)-J sequences of Pfs25-specific single B cells from the same donor. Among 13 recombinant human mAbs generated from IG sequences of Pfs25-specific single B cells, a single IGHV4 mAb displayed strong neutralizing activity, reducing the number of P. falciparum oocysts in infected mosquitoes by more than 80% at 100 μg/mL. Our approach characterizes the human plasma Ab repertoire in response to the Pfs25-EPA/Alhydrogel vaccine and will be useful for studying circulating Abs in response to other vaccines as well as those induced during infections or autoimmune disorders.
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MESH Headings
- Adjuvants, Immunologic
- Adolescent
- Adult
- Antibodies, Monoclonal/blood
- Antibodies, Monoclonal/immunology
- Antibodies, Protozoan/blood
- Antibodies, Protozoan/immunology
- Antigens, Protozoan/immunology
- Antimalarials/administration & dosage
- Antimalarials/immunology
- B-Lymphocytes/immunology
- Clinical Trials as Topic
- Female
- Humans
- Immunoglobulins/blood
- Immunoglobulins/immunology
- Malaria Vaccines/administration & dosage
- Malaria Vaccines/immunology
- Malaria, Falciparum/blood
- Malaria, Falciparum/immunology
- Malaria, Falciparum/parasitology
- Malaria, Falciparum/prevention & control
- Male
- Middle Aged
- Plasmodium falciparum/immunology
- Protozoan Proteins/immunology
- Vaccination
- Young Adult
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Affiliation(s)
- Camila H. Coelho
- Laboratory of Malaria Immunology and Vaccinology, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, Maryland, USA
| | - Steven T. Nadakal
- Laboratory of Malaria Immunology and Vaccinology, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, Maryland, USA
| | - Patricia Gonzales Hurtado
- Laboratory of Malaria Immunology and Vaccinology, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, Maryland, USA
| | - Robert Morrison
- Laboratory of Malaria Immunology and Vaccinology, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, Maryland, USA
| | - Jacob D. Galson
- University Children’s Hospital Zurich, Zurich, Switzerland
- Alchemab Therapeutics Ltd, London, United Kingdom
| | - Jillian Neal
- Laboratory of Malaria Immunology and Vaccinology, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, Maryland, USA
| | - Yimin Wu
- PATH’s Malaria Vaccine Initiative, Washington, DC, USA
| | | | | | - Kazutoyo Miura
- Laboratory of Malaria and Vector and Research, National Institute of Allergy and Infectious Diseases, NIH, Rockville, Maryland, USA
| | - Sharon Wong-Madden
- Laboratory of Malaria Immunology and Vaccinology, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, Maryland, USA
| | - Justin Yai Alamou Doritchamou
- Laboratory of Malaria Immunology and Vaccinology, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, Maryland, USA
| | - David L. Narum
- Laboratory of Malaria Immunology and Vaccinology, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, Maryland, USA
| | - Nicholas J. MacDonald
- Laboratory of Malaria Immunology and Vaccinology, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, Maryland, USA
| | - Maryonne Snow-Smith
- Laboratory of Malaria Immunology and Vaccinology, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, Maryland, USA
| | - Marissa Vignali
- Laboratory of Malaria and Vector and Research, National Institute of Allergy and Infectious Diseases, NIH, Rockville, Maryland, USA
- Adaptive Biotechnologies Corp, Seattle, Washington, USA
| | - Justin J. Taylor
- Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Marie-Paule Lefranc
- IMGT, the International ImMunoGeneTics Information System, Laboratoire d’ImmunoGénétique Moléculaire, Institut de Génétique Humaine, UMR9002 CNRS, Université de Montpellier, Montpellier, France
| | - Johannes Trück
- University Children’s Hospital Zurich, Zurich, Switzerland
| | - Carole A. Long
- Laboratory of Malaria and Vector and Research, National Institute of Allergy and Infectious Diseases, NIH, Rockville, Maryland, USA
| | - Issaka Sagara
- Malaria Research and Training Center, University of Sciences, Techniques, and Technologies, Bamako, Mali
| | - Michal Fried
- Laboratory of Malaria Immunology and Vaccinology, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, Maryland, USA
| | - Patrick E. Duffy
- Laboratory of Malaria Immunology and Vaccinology, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, Maryland, USA
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Macedo-da-Silva J, Marinho CRF, Palmisano G, Rosa-Fernandes L. Lights and Shadows of TORCH Infection Proteomics. Genes (Basel) 2020; 11:E894. [PMID: 32764347 PMCID: PMC7464470 DOI: 10.3390/genes11080894] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Revised: 07/27/2020] [Accepted: 07/29/2020] [Indexed: 12/25/2022] Open
Abstract
Congenital abnormalities cause serious fetal consequences. The term TORCH is used to designate the most common perinatal infections, where: (T) refers to toxoplasmosis, (O) means "others" and includes syphilis, varicella-zoster, parvovirus B19, zika virus (ZIKV), and malaria among others, (R) refers to rubella, (C) relates to cytomegalovirus infection, and (H) to herpes simplex virus infections. Among the main abnormalities identified in neonates exposed to congenital infections are central nervous system (CNS) damage, microcephaly, hearing loss, and ophthalmological impairment, all requiring regular follow-up to monitor its progression. Protein changes such as mutations, post-translational modifications, abundance, structure, and function may indicate a pathological condition before the onset of the first symptoms, allowing early diagnosis and understanding of a particular disease or infection. The term "proteomics" is defined as the science that studies the proteome, which consists of the total protein content of a cell, tissue or organism in a given space and time, including post-translational modifications (PTMs) and interactions between proteins. Currently, quantitative bottom-up proteomic strategies allow rapid and high throughput characterization of complex biological mixtures. Investigating proteome modulation during host-pathogen interaction helps in elucidating the mechanisms of infection and in predicting disease progression. This "molecular battle" between host and pathogen is a key to identify drug targets and diagnostic markers. Here, we conducted a survey on proteomic techniques applied to congenital diseases classified in the terminology "TORCH", including toxoplasmosis, ZIKV, malaria, syphilis, human immunodeficiency virus (HIV), herpes simplex virus (HSV) and human cytomegalovirus (HCVM). We have highlighted proteins and/or protein complexes actively involved in the infection. Most of the proteomic studies reported have been performed in cell line models, and the evaluation of tissues (brain, muscle, and placenta) and biofluids (plasma, serum and urine) in animal models is still underexplored. Moreover, there are a plethora of studies focusing on the pathogen or the host without considering the triad mother-fetus-pathogen as a dynamic and interconnected system.
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Affiliation(s)
- Janaina Macedo-da-Silva
- Glycoproteomics Laboratory, Department of Parasitology, University of Sao Paulo, Sao Paulo 05508-000, Brazil;
| | - Claudio Romero Farias Marinho
- Laboratory of Experimental Immunoparasitology, Department of Parasitology, University of Sao Paulo, Sao Paulo 05508-000, Brazil;
| | - Giuseppe Palmisano
- Glycoproteomics Laboratory, Department of Parasitology, University of Sao Paulo, Sao Paulo 05508-000, Brazil;
| | - Livia Rosa-Fernandes
- Glycoproteomics Laboratory, Department of Parasitology, University of Sao Paulo, Sao Paulo 05508-000, Brazil;
- Laboratory of Experimental Immunoparasitology, Department of Parasitology, University of Sao Paulo, Sao Paulo 05508-000, Brazil;
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