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Cotet TS, Agrafiotis A, Kreiner V, Kuhn R, Shlesinger D, Manero-Carranza M, Khodaverdi K, Kladis E, Desideri Perea A, Maassen-Veeters D, Glänzer W, Massery S, Guerci L, Hong KL, Han J, Stiklioraitis K, D’Arcy VM, Dizerens R, Kilchenmann S, Stalder L, Nissen L, Vogelsanger B, Anzböck S, Laslo D, Bakker S, Kondorosy M, Venerito M, Sanz García A, Feller I, Oxenius A, Reddy ST, Yermanos A. ePlatypus: an ecosystem for computational analysis of immunogenomics data. Bioinformatics 2023; 39:btad553. [PMID: 37682115 PMCID: PMC10518073 DOI: 10.1093/bioinformatics/btad553] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Revised: 08/08/2023] [Accepted: 09/06/2023] [Indexed: 09/09/2023] Open
Abstract
MOTIVATION The maturation of systems immunology methodologies requires novel and transparent computational frameworks capable of integrating diverse data modalities in a reproducible manner. RESULTS Here, we present the ePlatypus computational immunology ecosystem for immunogenomics data analysis, with a focus on adaptive immune repertoires and single-cell sequencing. ePlatypus is an open-source web-based platform and provides programming tutorials and an integrative database that helps elucidate signatures of B and T cell clonal selection. Furthermore, the ecosystem links novel and established bioinformatics pipelines relevant for single-cell immune repertoires and other aspects of computational immunology such as predicting ligand-receptor interactions, structural modeling, simulations, machine learning, graph theory, pseudotime, spatial transcriptomics, and phylogenetics. The ePlatypus ecosystem helps extract deeper insight in computational immunology and immunogenomics and promote open science. AVAILABILITY AND IMPLEMENTATION Platypus code used in this manuscript can be found at github.com/alexyermanos/Platypus.
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Affiliation(s)
- Tudor-Stefan Cotet
- Department of Biosystems Science and Engineering, ETH Zurich, Mattenstrasse 26, Basel 4058, Switzerland
| | - Andreas Agrafiotis
- Department of Biosystems Science and Engineering, ETH Zurich, Mattenstrasse 26, Basel 4058, Switzerland
- Institute of Microbiology, ETH Zurich, Vladimir-Prelog-Weg 4, Zurich 8093, Switzerland
| | - Victor Kreiner
- Department of Biosystems Science and Engineering, ETH Zurich, Mattenstrasse 26, Basel 4058, Switzerland
| | - Raphael Kuhn
- Department of Biosystems Science and Engineering, ETH Zurich, Mattenstrasse 26, Basel 4058, Switzerland
| | - Danielle Shlesinger
- Department of Biosystems Science and Engineering, ETH Zurich, Mattenstrasse 26, Basel 4058, Switzerland
| | - Marcos Manero-Carranza
- Department of Biosystems Science and Engineering, ETH Zurich, Mattenstrasse 26, Basel 4058, Switzerland
| | - Keywan Khodaverdi
- Department of Biosystems Science and Engineering, ETH Zurich, Mattenstrasse 26, Basel 4058, Switzerland
| | - Evgenios Kladis
- Department of Biosystems Science and Engineering, ETH Zurich, Mattenstrasse 26, Basel 4058, Switzerland
| | - Aurora Desideri Perea
- Center for Translational Immunology, University Medical Center Utrecht, Lundlaan 6, Utrecht 3584 EA, The Netherlands
| | - Dylan Maassen-Veeters
- Center for Translational Immunology, University Medical Center Utrecht, Lundlaan 6, Utrecht 3584 EA, The Netherlands
| | - Wiona Glänzer
- Department of Biosystems Science and Engineering, ETH Zurich, Mattenstrasse 26, Basel 4058, Switzerland
| | - Solène Massery
- Department of Biosystems Science and Engineering, ETH Zurich, Mattenstrasse 26, Basel 4058, Switzerland
| | - Lorenzo Guerci
- Department of Biosystems Science and Engineering, ETH Zurich, Mattenstrasse 26, Basel 4058, Switzerland
| | - Kai-Lin Hong
- Department of Biosystems Science and Engineering, ETH Zurich, Mattenstrasse 26, Basel 4058, Switzerland
| | - Jiami Han
- Department of Biosystems Science and Engineering, ETH Zurich, Mattenstrasse 26, Basel 4058, Switzerland
| | - Kostas Stiklioraitis
- Department of Biosystems Science and Engineering, ETH Zurich, Mattenstrasse 26, Basel 4058, Switzerland
| | | | - Raphael Dizerens
- Department of Biosystems Science and Engineering, ETH Zurich, Mattenstrasse 26, Basel 4058, Switzerland
| | - Samuel Kilchenmann
- Department of Biosystems Science and Engineering, ETH Zurich, Mattenstrasse 26, Basel 4058, Switzerland
| | - Lucas Stalder
- Department of Biosystems Science and Engineering, ETH Zurich, Mattenstrasse 26, Basel 4058, Switzerland
| | - Leon Nissen
- Department of Biosystems Science and Engineering, ETH Zurich, Mattenstrasse 26, Basel 4058, Switzerland
| | - Basil Vogelsanger
- Department of Biosystems Science and Engineering, ETH Zurich, Mattenstrasse 26, Basel 4058, Switzerland
| | - Stine Anzböck
- Department of Biosystems Science and Engineering, ETH Zurich, Mattenstrasse 26, Basel 4058, Switzerland
| | - Daria Laslo
- Department of Biosystems Science and Engineering, ETH Zurich, Mattenstrasse 26, Basel 4058, Switzerland
| | - Sophie Bakker
- Center for Translational Immunology, University Medical Center Utrecht, Lundlaan 6, Utrecht 3584 EA, The Netherlands
| | - Melinda Kondorosy
- Department of Biosystems Science and Engineering, ETH Zurich, Mattenstrasse 26, Basel 4058, Switzerland
| | - Marco Venerito
- Department of Biosystems Science and Engineering, ETH Zurich, Mattenstrasse 26, Basel 4058, Switzerland
| | - Alejandro Sanz García
- Department of Biosystems Science and Engineering, ETH Zurich, Mattenstrasse 26, Basel 4058, Switzerland
| | - Isabelle Feller
- Department of Biosystems Science and Engineering, ETH Zurich, Mattenstrasse 26, Basel 4058, Switzerland
| | - Annette Oxenius
- Institute of Microbiology, ETH Zurich, Vladimir-Prelog-Weg 4, Zurich 8093, Switzerland
| | - Sai T Reddy
- Department of Biosystems Science and Engineering, ETH Zurich, Mattenstrasse 26, Basel 4058, Switzerland
| | - Alexander Yermanos
- Department of Biosystems Science and Engineering, ETH Zurich, Mattenstrasse 26, Basel 4058, Switzerland
- Institute of Microbiology, ETH Zurich, Vladimir-Prelog-Weg 4, Zurich 8093, Switzerland
- Center for Translational Immunology, University Medical Center Utrecht, Lundlaan 6, Utrecht 3584 EA, The Netherlands
- Department of Pathology and Immunology, University of Geneva, 24 rue du Général-Dufour, Geneva 1211, Switzerland
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2
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Bonaud A, Larraufie P, Khamyath M, Szachnowski U, Flint SM, Brunel-Meunier N, Delhommeau F, Munier A, Lönnberg T, Toffano-Nioche C, Gautheret D, Balabanian K, Espéli M. Transinteractome analysis reveals distinct niche requirements for isotype-based plasma cell subsets in the bone marrow. Eur J Immunol 2023; 53:e2250334. [PMID: 37377335 DOI: 10.1002/eji.202250334] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 05/09/2023] [Accepted: 05/22/2023] [Indexed: 06/29/2023]
Abstract
Bone marrow (BM) long-lived plasma cells (PCs) are essential for long-term protection against infection, and their persistence within this organ relies on interactions with Cxcl12-expressing stromal cells that are still not clearly identified. Here, using single cell RNAseq and in silico transinteractome analyses, we identified Leptin receptor positive (LepR+ ) mesenchymal cells as the stromal cell subset most likely to interact with PCs within the BM. Moreover, we demonstrated that depending on the isotype they express, PCs may use different sets of integrins and adhesion molecules to interact with these stromal cells. Altogether, our results constitute an unprecedented characterization of PC subset stromal niches and open new avenues for the specific targeting of BM PCs based on their isotype.
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Affiliation(s)
- Amélie Bonaud
- Université Paris Cité, Institut de Recherche Saint-Louis, INSERM U1160, Paris, France
- OPALE Carnot Institute, Hôpital St-Louis, Paris, France
| | - Pierre Larraufie
- Université Paris-Saclay, INRAE, AgroParisTech, Micalis Institute, Jouy-en-Josas, France
| | - Mélanie Khamyath
- Université Paris Cité, Institut de Recherche Saint-Louis, INSERM U1160, Paris, France
- OPALE Carnot Institute, Hôpital St-Louis, Paris, France
| | - Ugo Szachnowski
- Université Paris-Saclay, INSERM, Inflammation, Microbiome and Immunosurveillance, Clamart, France
- Université Paris-Saclay, CEA, CNRS, Institute for Integrative Biology of the Cell (I2BC), Gif-sur-Yvette, France
| | - Shaun M Flint
- Université Paris-Saclay, INSERM, Inflammation, Microbiome and Immunosurveillance, Clamart, France
| | - Nadège Brunel-Meunier
- Sorbonne Université, INSERM, Centre de Recherche Saint-Antoine (CRSA), AP-HP, Saint-Antoine Hospital, Paris, France
| | - François Delhommeau
- Sorbonne Université, INSERM, Centre de Recherche Saint-Antoine (CRSA), AP-HP, Saint-Antoine Hospital, Paris, France
| | - Annie Munier
- Sorbonne Université-INSERM UMRS_938, Centre de Recherche Saint-Antoine (CRSA), Plateforme de Cytométrie CISA, Paris, France
| | - Tapio Lönnberg
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge, UK
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Claire Toffano-Nioche
- Université Paris-Saclay, CEA, CNRS, Institute for Integrative Biology of the Cell (I2BC), Gif-sur-Yvette, France
| | - Daniel Gautheret
- Université Paris-Saclay, CEA, CNRS, Institute for Integrative Biology of the Cell (I2BC), Gif-sur-Yvette, France
| | - Karl Balabanian
- Université Paris Cité, Institut de Recherche Saint-Louis, INSERM U1160, Paris, France
- OPALE Carnot Institute, Hôpital St-Louis, Paris, France
| | - Marion Espéli
- Université Paris Cité, Institut de Recherche Saint-Louis, INSERM U1160, Paris, France
- OPALE Carnot Institute, Hôpital St-Louis, Paris, France
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Pioli KT, Lau KH, Pioli PD. Thymus antibody-secreting cells possess an interferon gene signature and are preferentially expanded in young female mice. iScience 2023; 26:106223. [PMID: 36890795 PMCID: PMC9986522 DOI: 10.1016/j.isci.2023.106223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Revised: 01/05/2023] [Accepted: 02/11/2023] [Indexed: 02/17/2023] Open
Abstract
Antibody-secreting cells (ASCs) are key contributors to humoral immunity through immunoglobulin production and the potential to be long-lived. ASC persistence has been recognized in the autoimmune thymus (THY); however, only recently has this population been appreciated in healthy THY tissue. We showed that the young female THY was skewed toward higher production of ASCs relative to males. However, these differences disappeared with age. In both sexes, THY ASCs included Ki-67+ plasmablasts which required CD154(CD40L) signals for their propagation. Single cell RNA-sequencing revealed that THY ASCs were enriched for an interferon responsive transcriptional signature relative to those from bone marrow and spleen. Flow cytometry confirmed that THY ASCs had increased levels of Toll-like receptor 7 as well as CD69 and major histocompatibility complex class II. Overall, we identified fundamental aspects of THY ASC biology which may be leveraged for future in depth studies of this population in both health and disease.
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Affiliation(s)
- KimAnh T. Pioli
- Department of Biochemistry, Microbiology and Immunology, College of Medicine, University of Saskatchewan, Saskatoon, SK S7N5E5, Canada
| | - Kin H. Lau
- Bioinformatics and Biostatistics Core, Van Andel Institute, Grand Rapids, MI 49503, USA
| | - Peter D. Pioli
- Department of Biochemistry, Microbiology and Immunology, College of Medicine, University of Saskatchewan, Saskatoon, SK S7N5E5, Canada
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Agrafiotis A, Dizerens R, Vincenti I, Wagner I, Kuhn R, Shlesinger D, Manero-Carranza M, Cotet TS, Hong KL, Page N, Fonta N, Shammas G, Mariotte A, Piccinno M, Kreutzfeldt M, Gruntz B, Ehling R, Genovese A, Pedrioli A, Dounas A, Franzenburg S, Tumani H, Kümpfel T, Kavaka V, Gerdes LA, Dornmair K, Beltrán E, Oxenius A, Reddy ST, Merkler D, Yermanos A. Persistent virus-specific and clonally expanded antibody-secreting cells respond to induced self-antigen in the CNS. Acta Neuropathol 2023; 145:335-355. [PMID: 36695896 PMCID: PMC9925600 DOI: 10.1007/s00401-023-02537-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 12/20/2022] [Accepted: 01/02/2023] [Indexed: 01/26/2023]
Abstract
B cells contribute to the pathogenesis of both cellular- and humoral-mediated central nervous system (CNS) inflammatory diseases through a variety of mechanisms. In such conditions, B cells may enter the CNS parenchyma and contribute to local tissue destruction. It remains unexplored, however, how infection and autoimmunity drive transcriptional phenotypes, repertoire features, and antibody functionality. Here, we profiled B cells from the CNS of murine models of intracranial (i.c.) viral infections and autoimmunity. We identified a population of clonally expanded, antibody-secreting cells (ASCs) that had undergone class-switch recombination and extensive somatic hypermutation following i.c. infection with attenuated lymphocytic choriomeningitis virus (rLCMV). Recombinant expression and characterisation of these antibodies revealed specificity to viral antigens (LCMV glycoprotein GP), correlating with ASC persistence in the brain weeks after resolved infection. Furthermore, these virus-specific ASCs upregulated proliferation and expansion programs in response to the conditional and transient induction of the LCMV GP as a neo-self antigen by astrocytes. This class-switched, clonally expanded, and mutated population persisted and was even more pronounced when peripheral B cells were depleted prior to autoantigen induction in the CNS. In contrast, the most expanded B cell clones in mice with persistent expression of LCMV GP in the CNS did not exhibit neo-self antigen specificity, potentially a consequence of local tolerance induction. Finally, a comparable population of clonally expanded, class-switched, and proliferating ASCs was detected in the cerebrospinal fluid of relapsing multiple sclerosis (RMS) patients. Taken together, our findings support the existence of B cells that populate the CNS and are capable of responding to locally encountered autoantigens.
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Affiliation(s)
- Andreas Agrafiotis
- Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland
- Institute of Microbiology, ETH Zurich, Zurich, Switzerland
| | - Raphael Dizerens
- Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland
| | - Ilena Vincenti
- Department of Pathology and Immunology, University of Geneva, Geneva, Switzerland
| | - Ingrid Wagner
- Department of Pathology and Immunology, University of Geneva, Geneva, Switzerland
| | - Raphael Kuhn
- Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland
| | - Danielle Shlesinger
- Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland
| | | | - Tudor-Stefan Cotet
- Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland
| | - Kai-Lin Hong
- Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland
| | - Nicolas Page
- Department of Pathology and Immunology, University of Geneva, Geneva, Switzerland
| | - Nicolas Fonta
- Department of Pathology and Immunology, University of Geneva, Geneva, Switzerland
| | - Ghazal Shammas
- Department of Pathology and Immunology, University of Geneva, Geneva, Switzerland
| | - Alexandre Mariotte
- Department of Pathology and Immunology, University of Geneva, Geneva, Switzerland
| | - Margot Piccinno
- Department of Pathology and Immunology, University of Geneva, Geneva, Switzerland
| | - Mario Kreutzfeldt
- Department of Pathology and Immunology, University of Geneva, Geneva, Switzerland
- Division of Clinical Pathology, Geneva University Hospital, Geneva, Switzerland
| | - Benedikt Gruntz
- Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland
| | - Roy Ehling
- Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland
| | | | | | - Andreas Dounas
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
| | - Sören Franzenburg
- Institute of Clinical Molecular Biology, Kiel University and University Medical Center Schleswig-Holstein, Kiel, Germany
| | | | - Tania Kümpfel
- Institute of Clinical Neuroimmunology, Faculty of Medicine, University Hospital and Biomedical Center (BMC), LMU Munich, Munich, Germany
- Biomedical Center (BMC), Faculty of Medicine, LMU Munich, Martinsried, Germany
- Munich Cluster of Systems Neurology (SyNergy), Munich, Germany
| | - Vladyslav Kavaka
- Institute of Clinical Neuroimmunology, Faculty of Medicine, University Hospital and Biomedical Center (BMC), LMU Munich, Munich, Germany
- Biomedical Center (BMC), Faculty of Medicine, LMU Munich, Martinsried, Germany
| | - Lisa Ann Gerdes
- Institute of Clinical Neuroimmunology, Faculty of Medicine, University Hospital and Biomedical Center (BMC), LMU Munich, Munich, Germany
- Biomedical Center (BMC), Faculty of Medicine, LMU Munich, Martinsried, Germany
- Munich Cluster of Systems Neurology (SyNergy), Munich, Germany
| | - Klaus Dornmair
- Institute of Clinical Neuroimmunology, Faculty of Medicine, University Hospital and Biomedical Center (BMC), LMU Munich, Munich, Germany
- Biomedical Center (BMC), Faculty of Medicine, LMU Munich, Martinsried, Germany
- Munich Cluster of Systems Neurology (SyNergy), Munich, Germany
| | - Eduardo Beltrán
- Institute of Clinical Neuroimmunology, Faculty of Medicine, University Hospital and Biomedical Center (BMC), LMU Munich, Munich, Germany
- Biomedical Center (BMC), Faculty of Medicine, LMU Munich, Martinsried, Germany
- Munich Cluster of Systems Neurology (SyNergy), Munich, Germany
| | | | - Sai T Reddy
- Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland
| | - Doron Merkler
- Department of Pathology and Immunology, University of Geneva, Geneva, Switzerland.
- Division of Clinical Pathology, Geneva University Hospital, Geneva, Switzerland.
| | - Alexander Yermanos
- Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
- Institute of Microbiology, ETH Zurich, Zurich, Switzerland.
- Department of Pathology and Immunology, University of Geneva, Geneva, Switzerland.
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht, Netherlands.
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5
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Generation of a single-cell B cell atlas of antibody repertoires and transcriptomes to identify signatures associated with antigen specificity. iScience 2023; 26:106055. [PMID: 36852274 PMCID: PMC9958373 DOI: 10.1016/j.isci.2023.106055] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Revised: 12/07/2022] [Accepted: 01/20/2023] [Indexed: 01/26/2023] Open
Abstract
Although new genomics-based pipelines have potential to augment antibody discovery, these methods remain in their infancy due to an incomplete understanding of the selection process that governs B cell clonal selection, expansion, and antigen specificity. Furthermore, it remains unknown how factors such as aging and reduction of tolerance influence B cell selection. Here we perform single-cell sequencing of antibody repertoires and transcriptomes of murine B cells following immunizations with a model therapeutic antigen target. We determine the relationship between antibody repertoires, gene expression signatures, and antigen specificity across 100,000 B cells. Recombinant expression and characterization of 227 monoclonal antibodies revealed the existence of clonally expanded and class-switched antigen-specific B cells that were more frequent in young mice. Although integrating multiple repertoire features such as germline gene usage and transcriptional signatures failed to distinguish antigen-specific from nonspecific B cells, other features such as immunoglobulin G (IgG) subtype and sequence composition correlated with antigen specificity.
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