1
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Lindeboom RGH, Worlock KB, Dratva LM, Yoshida M, Scobie D, Wagstaffe HR, Richardson L, Wilbrey-Clark A, Barnes JL, Kretschmer L, Polanski K, Allen-Hyttinen J, Mehta P, Sumanaweera D, Boccacino JM, Sungnak W, Elmentaite R, Huang N, Mamanova L, Kapuge R, Bolt L, Prigmore E, Killingley B, Kalinova M, Mayer M, Boyers A, Mann A, Swadling L, Woodall MNJ, Ellis S, Smith CM, Teixeira VH, Janes SM, Chambers RC, Haniffa M, Catchpole A, Heyderman R, Noursadeghi M, Chain B, Mayer A, Meyer KB, Chiu C, Nikolić MZ, Teichmann SA. Human SARS-CoV-2 challenge uncovers local and systemic response dynamics. Nature 2024:10.1038/s41586-024-07575-x. [PMID: 38898278 DOI: 10.1038/s41586-024-07575-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Accepted: 05/16/2024] [Indexed: 06/21/2024]
Abstract
The COVID-19 pandemic is an ongoing global health threat, yet our understanding of the dynamics of early cellular responses to this disease remains limited1. Here in our SARS-CoV-2 human challenge study, we used single-cell multi-omics profiling of nasopharyngeal swabs and blood to temporally resolve abortive, transient and sustained infections in seronegative individuals challenged with pre-Alpha SARS-CoV-2. Our analyses revealed rapid changes in cell-type proportions and dozens of highly dynamic cellular response states in epithelial and immune cells associated with specific time points and infection status. We observed that the interferon response in blood preceded the nasopharyngeal response. Moreover, nasopharyngeal immune infiltration occurred early in samples from individuals with only transient infection and later in samples from individuals with sustained infection. High expression of HLA-DQA2 before inoculation was associated with preventing sustained infection. Ciliated cells showed multiple immune responses and were most permissive for viral replication, whereas nasopharyngeal T cells and macrophages were infected non-productively. We resolved 54 T cell states, including acutely activated T cells that clonally expanded while carrying convergent SARS-CoV-2 motifs. Our new computational pipeline Cell2TCR identifies activated antigen-responding T cells based on a gene expression signature and clusters these into clonotype groups and motifs. Overall, our detailed time series data can serve as a Rosetta stone for epithelial and immune cell responses and reveals early dynamic responses associated with protection against infection.
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Affiliation(s)
- Rik G H Lindeboom
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK.
- The Netherlands Cancer Institute, Amsterdam, The Netherlands.
| | - Kaylee B Worlock
- UCL Respiratory, Division of Medicine, University College London, London, UK
| | - Lisa M Dratva
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK
- Wellcome MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK
| | - Masahiro Yoshida
- UCL Respiratory, Division of Medicine, University College London, London, UK
| | - David Scobie
- Research Department of Infection, Division of Infection and Immunity, University College London, London, UK
| | - Helen R Wagstaffe
- Department of Infectious Disease, Imperial College London, London, UK
| | - Laura Richardson
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK
| | | | - Josephine L Barnes
- UCL Respiratory, Division of Medicine, University College London, London, UK
| | | | | | | | - Puja Mehta
- UCL Respiratory, Division of Medicine, University College London, London, UK
| | | | | | - Waradon Sungnak
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK
- Department of Microbiology, Faculty of Science, and Integrative Computational BioScience Center, Mahidol University, Bangkok, Thailand
| | - Rasa Elmentaite
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK
- Ensocell Therapeutics, BioData Innovation Centre, Wellcome Genome Campus, Hinxton, UK
| | - Ni Huang
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK
| | - Lira Mamanova
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK
| | - Rakesh Kapuge
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK
| | - Liam Bolt
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK
| | - Elena Prigmore
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK
| | - Ben Killingley
- Department of Infectious Diseases, University College London Hospital, London, UK
| | | | | | | | | | - Leo Swadling
- Division of Infection and Immunity, Institute of Immunity and Transplantation, University College London, London, UK
| | | | - Samuel Ellis
- UCL Great Ormond Street Institute of Child Health, London, UK
| | - Claire M Smith
- UCL Great Ormond Street Institute of Child Health, London, UK
| | - Vitor H Teixeira
- UCL Respiratory, Division of Medicine, University College London, London, UK
| | - Sam M Janes
- UCL Respiratory, Division of Medicine, University College London, London, UK
| | - Rachel C Chambers
- UCL Respiratory, Division of Medicine, University College London, London, UK
| | - Muzlifah Haniffa
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK
| | | | - Robert Heyderman
- Research Department of Infection, Division of Infection and Immunity, University College London, London, UK
| | - Mahdad Noursadeghi
- Research Department of Infection, Division of Infection and Immunity, University College London, London, UK
| | - Benny Chain
- Research Department of Infection, Division of Infection and Immunity, University College London, London, UK
| | - Andreas Mayer
- Research Department of Infection, Division of Infection and Immunity, University College London, London, UK
| | - Kerstin B Meyer
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK
| | - Christopher Chiu
- Department of Infectious Disease, Imperial College London, London, UK
| | - Marko Z Nikolić
- UCL Respiratory, Division of Medicine, University College London, London, UK.
| | - Sarah A Teichmann
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK.
- Theory of Condensed Matter, Cavendish Laboratory, Department of Physics, University of Cambridge, Cambridge, UK.
- Wellcome MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK.
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2
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Rückert T, Romagnani C. Extrinsic and intrinsic drivers of natural killer cell clonality. Immunol Rev 2024; 323:80-106. [PMID: 38506411 DOI: 10.1111/imr.13324] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/21/2024]
Abstract
Clonal expansion of antigen-specific lymphocytes is the fundamental mechanism enabling potent adaptive immune responses and the generation of immune memory. Accompanied by pronounced epigenetic remodeling, the massive proliferation of individual cells generates a critical mass of effectors for the control of acute infections, as well as a pool of memory cells protecting against future pathogen encounters. Classically associated with the adaptive immune system, recent work has demonstrated that innate immune memory to human cytomegalovirus (CMV) infection is stably maintained as large clonal expansions of natural killer (NK) cells, raising questions on the mechanisms for clonal selection and expansion in the absence of re-arranged antigen receptors. Here, we discuss clonal NK cell memory in the context of the mechanisms underlying clonal competition of adaptive lymphocytes and propose alternative selection mechanisms that might decide on the clonal success of their innate counterparts. We propose that the integration of external cues with cell-intrinsic sources of heterogeneity, such as variegated receptor expression, transcriptional states, and somatic variants, compose a bottleneck for clonal selection, contributing to the large size of memory NK cell clones.
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Affiliation(s)
- Timo Rückert
- Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Medical Immunology, Berlin, Germany
| | - Chiara Romagnani
- Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Medical Immunology, Berlin, Germany
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3
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Irac SE, Soon MSF, Borcherding N, Tuong ZK. Single-cell immune repertoire analysis. Nat Methods 2024; 21:777-792. [PMID: 38637691 DOI: 10.1038/s41592-024-02243-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Accepted: 03/12/2024] [Indexed: 04/20/2024]
Abstract
Single-cell T cell and B cell antigen receptor-sequencing data analysis can potentially perform in-depth assessments of adaptive immune cells that inform on understanding immune cell development to tracking clonal expansion in disease and therapy. However, it has been extremely challenging to analyze and interpret T cells and B cells and their adaptive immune receptor repertoires at the single-cell level due to not only the complexity of the data but also the underlying biology. In this Review, we delve into the computational breakthroughs that have transformed the analysis of single-cell T cell and B cell antigen receptor-sequencing data.
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Affiliation(s)
- Sergio E Irac
- Cancer Immunoregulation and Immunotherapy, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Megan Sioe Fei Soon
- Ian Frazer Centre for Children's Immunotherapy Research, Child Health Research Centre, Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia
| | - Nicholas Borcherding
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, USA
- Omniscope, Palo Alto, CA, USA
| | - Zewen Kelvin Tuong
- Ian Frazer Centre for Children's Immunotherapy Research, Child Health Research Centre, Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia.
- Frazer Institute, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia.
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4
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Beaulaurier J, Ly L, Duty JA, Tyer C, Stevens C, Hung CT, Sookdeo A, Drong AW, Kowdle S, Turner DJ, Juul S, Hickey S, Lee B. De novo antibody discovery in human blood from full-length single B cell transcriptomics and matching haplotyped-resolved germline assemblies. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.26.586834. [PMID: 38585716 PMCID: PMC10996687 DOI: 10.1101/2024.03.26.586834] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/09/2024]
Abstract
Immunoglobulin (IGH, IGK, IGL) loci in the human genome are highly polymorphic regions that encode the building blocks of the light and heavy chain IG proteins that dimerize to form antibodies. The processes of V(D)J recombination and somatic hypermutation in B cells are responsible for creating an enormous reservoir of highly specific antibodies capable of binding a vast array of possible antigens. However, the antibody repertoire is fundamentally limited by the set of variable (V), diversity (D), and joining (J) alleles present in the germline IG loci. To better understand how the germline IG haplotypes contribute to the expressed antibody repertoire, we combined genome sequencing of the germline IG loci with single-cell transcriptome sequencing of B cells from the same donor. Sequencing and assembly of the germline IG loci captured the IGH locus in a single fully-phased contig where the maternal and paternal contributions to the germline V, D, and J repertoire can be fully resolved. The B cells were collected following a measles, mumps, and rubella (MMR) vaccination, resulting in a population of cells that were activated in response to this specific immune challenge. Single-cell, full-length transcriptome sequencing of these B cells resulted in whole transcriptome characterization of each cell, as well as highly-accurate consensus sequences for the somatically rearranged and hypermutated light and heavy chain IG transcripts. A subset of antibodies synthesized based on their consensus heavy and light chain transcript sequences demonstrated binding to measles antigens and neutralization of measles live virus.
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5
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Schäfer PSL, Dimitrov D, Villablanca EJ, Saez-Rodriguez J. Integrating single-cell multi-omics and prior biological knowledge for a functional characterization of the immune system. Nat Immunol 2024; 25:405-417. [PMID: 38413722 DOI: 10.1038/s41590-024-01768-2] [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: 05/31/2023] [Accepted: 01/16/2024] [Indexed: 02/29/2024]
Abstract
The immune system comprises diverse specialized cell types that cooperate to defend the host against a wide range of pathogenic threats. Recent advancements in single-cell and spatial multi-omics technologies provide rich information about the molecular state of immune cells. Here, we review how the integration of single-cell and spatial multi-omics data with prior knowledge-gathered from decades of detailed biochemical studies-allows us to obtain functional insights, focusing on gene regulatory processes and cell-cell interactions. We present diverse applications in immunology and critically assess underlying assumptions and limitations. Finally, we offer a perspective on the ongoing technological and algorithmic developments that promise to get us closer to a systemic mechanistic understanding of the immune system.
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Affiliation(s)
- Philipp Sven Lars Schäfer
- Institute for Computational Bioscience, Faculty of Medicine and Heidelberg University Hospital, Heidelberg University, Heidelberg, Germany
| | - Daniel Dimitrov
- Institute for Computational Bioscience, Faculty of Medicine and Heidelberg University Hospital, Heidelberg University, Heidelberg, Germany
| | - Eduardo J Villablanca
- Division of Immunology and Allergy, Department of Medicine Solna, Karolinska Institute and Karolinska University Hospital, Stockholm, Sweden
- Center of Molecular Medicine, Stockholm, Sweden
| | - Julio Saez-Rodriguez
- Institute for Computational Bioscience, Faculty of Medicine and Heidelberg University Hospital, Heidelberg University, Heidelberg, Germany.
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6
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Hoehn KB, Kleinstein SH. B cell phylogenetics in the single cell era. Trends Immunol 2024; 45:62-74. [PMID: 38151443 PMCID: PMC10872299 DOI: 10.1016/j.it.2023.11.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Revised: 11/22/2023] [Accepted: 11/24/2023] [Indexed: 12/29/2023]
Abstract
The widespread availability of single-cell RNA sequencing (scRNA-seq) has led to the development of new methods for understanding immune responses. Single-cell transcriptome data can now be paired with B cell receptor (BCR) sequences. However, RNA from BCRs cannot be analyzed like most other genes because BCRs are genetically diverse within individuals. In humans, BCRs are shaped through recombination followed by mutation and selection for antigen binding. As these processes co-occur with cell division, B cells can be studied using phylogenetic trees representing the mutations within a clone. B cell trees can link experimental timepoints, tissues, or cellular subtypes. Here, we review the current state and potential of how B cell phylogenetics can be combined with single-cell data to understand immune responses.
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Affiliation(s)
- Kenneth B Hoehn
- Department of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, NH 03755, USA.
| | - Steven H Kleinstein
- Department of Pathology, Yale School of Medicine, New Haven, CT 06520, USA; Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520, USA; Department of Immunobiology, Yale School of Medicine, New Haven, CT 06520, USA
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7
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Conte MI, Fuentes-Trillo A, Domínguez Conde C. Opportunities and tradeoffs in single-cell transcriptomic technologies. Trends Genet 2024; 40:83-93. [PMID: 37953195 DOI: 10.1016/j.tig.2023.10.003] [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: 07/11/2023] [Revised: 09/26/2023] [Accepted: 10/03/2023] [Indexed: 11/14/2023]
Abstract
Recent technological and algorithmic advances enable single-cell transcriptomic analysis with remarkable depth and breadth. Nonetheless, a persistent challenge is the compromise between the ability to profile high numbers of cells and the achievement of full-length transcript coverage. Currently, the field is progressing and developing new and creative solutions that improve cellular throughput, gene detection sensitivity and full-length transcript capture. Furthermore, long-read sequencing approaches for single-cell transcripts are breaking frontiers that have previously blocked full transcriptome characterization. We here present a comprehensive overview of available options for single-cell transcriptome profiling, highlighting the key advantages and disadvantages of each approach.
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Affiliation(s)
- Matilde I Conte
- Human Technopole, Viale Rita Levi-Montalcini 1, 20157 Milan, Italy
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8
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Conceição-Neto N, Pierson W, Vacca M, Beyens M, De Clerck B, Aerts L, Voeten B, De Pooter D, Verschueren L, Dockx K, Vandenberk M, De Troyer E, Verwilt K, Van Hove C, Verslegers M, Bosseler L, Crabbe M, Krishna V, Nájera I, Van Gulck E. Sustained Liver HBsAg Loss and Clonal T- and B-Cell Expansion upon Therapeutic DNA Vaccination Require Low HBsAg Levels. Vaccines (Basel) 2023; 11:1825. [PMID: 38140229 PMCID: PMC10747285 DOI: 10.3390/vaccines11121825] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2023] [Revised: 11/27/2023] [Accepted: 12/01/2023] [Indexed: 12/24/2023] Open
Abstract
BACKGROUND Suppression of HBV DNA, inhibition of HBV surface (HBsAg) production and therapeutic vaccination to reverse HBV-specific T-cell exhaustion in chronic HBV patients are likely required to achieve a functional cure. In the AAV-HBV mouse model, therapeutic vaccination can be effective in clearing HBV when HBsAg levels are low. Using a single-cell approach, we investigated the liver immune environment with different levels of HBsAg and sustained HBsAg loss through treatment with a GalNAc-HBV-siRNA followed by therapeutic vaccination. METHODS AAV-HBV-transduced C57BL/6 mice were treated with GalNAc-HBV-siRNA to lower HBsAg levels and then vaccinated using a DNA vaccine. We used single-cell RNA and V(D)J sequencing to understand liver immune microenvironment changes. RESULTS GalNAc-HBV-siRNA, followed by therapeutic vaccination, achieved sustained HBsAg loss in all mice. This was accompanied by CD4 follicular helper T-cell induction, polyclonal activation of CD8 T cells and clonal expansion of plasma cells that were responsible for antibody production. CONCLUSIONS This study provides novel insights into liver immune changes at the single-cell level, highlighting the correlation between induced reduction of HBsAg levels and clonal expansion of CD4, CD8 T cells and plasma cells in the liver upon HBV siRNA and subsequent therapeutic vaccination.
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Affiliation(s)
- Nádia Conceição-Neto
- Infectious Diseases Discovery, Infectious Diseases and Vaccines, Janssen Research and Development, Turnhoutseweg 30, 2340 Beerse, Belgium; (N.C.-N.); (M.V.); (B.D.C.); (L.A.); (D.D.P.); (L.V.)
| | - Wim Pierson
- Infectious Diseases Discovery, Infectious Diseases and Vaccines, Janssen Research and Development, Turnhoutseweg 30, 2340 Beerse, Belgium; (N.C.-N.); (M.V.); (B.D.C.); (L.A.); (D.D.P.); (L.V.)
| | - Maurizio Vacca
- Infectious Diseases Discovery, Infectious Diseases and Vaccines, Janssen Research and Development, Turnhoutseweg 30, 2340 Beerse, Belgium; (N.C.-N.); (M.V.); (B.D.C.); (L.A.); (D.D.P.); (L.V.)
| | - Matthias Beyens
- Discovery Therapeutics and Molecular Pharmacology, Janssen Research and Development, Turnhoutseweg 30, 2340 Beerse, Belgium; (M.B.); (K.V.); (C.V.H.)
| | - Ben De Clerck
- Infectious Diseases Discovery, Infectious Diseases and Vaccines, Janssen Research and Development, Turnhoutseweg 30, 2340 Beerse, Belgium; (N.C.-N.); (M.V.); (B.D.C.); (L.A.); (D.D.P.); (L.V.)
| | - Liese Aerts
- Infectious Diseases Discovery, Infectious Diseases and Vaccines, Janssen Research and Development, Turnhoutseweg 30, 2340 Beerse, Belgium; (N.C.-N.); (M.V.); (B.D.C.); (L.A.); (D.D.P.); (L.V.)
| | - Birgit Voeten
- Charles River Laboratories, Turnhoutseweg 30, 2340 Beerse, Belgium (K.D.); (M.V.)
| | - Dorien De Pooter
- Infectious Diseases Discovery, Infectious Diseases and Vaccines, Janssen Research and Development, Turnhoutseweg 30, 2340 Beerse, Belgium; (N.C.-N.); (M.V.); (B.D.C.); (L.A.); (D.D.P.); (L.V.)
| | - Lore Verschueren
- Infectious Diseases Discovery, Infectious Diseases and Vaccines, Janssen Research and Development, Turnhoutseweg 30, 2340 Beerse, Belgium; (N.C.-N.); (M.V.); (B.D.C.); (L.A.); (D.D.P.); (L.V.)
| | - Koen Dockx
- Charles River Laboratories, Turnhoutseweg 30, 2340 Beerse, Belgium (K.D.); (M.V.)
| | - Mathias Vandenberk
- Charles River Laboratories, Turnhoutseweg 30, 2340 Beerse, Belgium (K.D.); (M.V.)
| | - Ewoud De Troyer
- SDS Discovery Statistics, Janssen Research and Development, Turnhoutseweg 30, 2340 Beerse, Belgium; (E.D.T.); (M.C.)
| | - Kato Verwilt
- Discovery Therapeutics and Molecular Pharmacology, Janssen Research and Development, Turnhoutseweg 30, 2340 Beerse, Belgium; (M.B.); (K.V.); (C.V.H.)
| | - Carl Van Hove
- Discovery Therapeutics and Molecular Pharmacology, Janssen Research and Development, Turnhoutseweg 30, 2340 Beerse, Belgium; (M.B.); (K.V.); (C.V.H.)
| | - Mieke Verslegers
- Preclinical Sciences and Translational Safety (PSTS) Janssen Research and Development, Turnhoutseweg 30, 2340 Beerse, Belgium; (M.V.); (L.B.)
| | - Leslie Bosseler
- Preclinical Sciences and Translational Safety (PSTS) Janssen Research and Development, Turnhoutseweg 30, 2340 Beerse, Belgium; (M.V.); (L.B.)
| | - Marjolein Crabbe
- SDS Discovery Statistics, Janssen Research and Development, Turnhoutseweg 30, 2340 Beerse, Belgium; (E.D.T.); (M.C.)
| | - Vinod Krishna
- Infectious Diseases Discovery, Infectious Diseases and Vaccines, Janssen Research and Development, 1400 McKean Road, Spring House, PA 19002, USA;
| | - Isabel Nájera
- Infectious Diseases and Vaccines, Janssen Research and Development, 1600 Sierra Point Parkway, South San Francisco, CA 94005, USA;
| | - Ellen Van Gulck
- Infectious Diseases Discovery, Infectious Diseases and Vaccines, Janssen Research and Development, Turnhoutseweg 30, 2340 Beerse, Belgium; (N.C.-N.); (M.V.); (B.D.C.); (L.A.); (D.D.P.); (L.V.)
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9
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Yayon N, Kedlian VR, Boehme L, Suo C, Wachter B, Beuschel RT, Amsalem O, Polanski K, Koplev S, Tuck E, Dann E, Van Hulle J, Perera S, Putteman T, Predeus AV, Dabrowska M, Richardson L, Tudor C, Kreins AY, Engelbert J, Stephenson E, Kleshchevnikov V, De Rita F, Crossland D, Bosticardo M, Pala F, Prigmore E, Chipampe NJ, Prete M, Fei L, To K, Barker RA, He X, Van Nieuwerburgh F, Bayraktar O, Patel M, Davies GE, Haniffa MA, Uhlmann V, Notarangelo LD, Germain RN, Radtke AJ, Marioni JC, Taghon T, Teichmann SA. A spatial human thymus cell atlas mapped to a continuous tissue axis. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.10.25.562925. [PMID: 37986877 PMCID: PMC10659407 DOI: 10.1101/2023.10.25.562925] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2023]
Abstract
T cells develop from circulating precursors, which enter the thymus and migrate throughout specialised sub-compartments to support maturation and selection. This process starts already in early fetal development and is highly active until the involution of the thymus in adolescence. To map the micro-anatomical underpinnings of this process in pre- vs. post-natal states, we undertook a spatially resolved analysis and established a new quantitative morphological framework for the thymus, the Cortico-Medullary Axis. Using this axis in conjunction with the curation of a multimodal single-cell, spatial transcriptomics and high-resolution multiplex imaging atlas, we show that canonical thymocyte trajectories and thymic epithelial cells are highly organised and fully established by post-conception week 12, pinpoint TEC progenitor states, find that TEC subsets and peripheral tissue genes are associated with Hassall's Corpuscles and uncover divergence in the pace and drivers of medullary entry between CD4 vs. CD8 T cell lineages. These findings are complemented with a holistic toolkit for spatial analysis and annotation, providing a basis for a detailed understanding of T lymphocyte development.
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Affiliation(s)
- Nadav Yayon
- Wellcome Sanger Institute, Cellular Genetics, Cambridge, United Kingdom
- European Molecular Biology Laboratory, European Bioinformatics Institute, Cambridge, United Kingdom
| | | | - Lena Boehme
- Ghent University, Department of Diagnostic Sciences, Ghent, Belgium
| | - Chenqu Suo
- Wellcome Sanger Institute, Cellular Genetics, Cambridge, United Kingdom
| | - Brianna Wachter
- National Institute of Allergy and Infectious Diseases, National Institutes of Health (NIH), Laboratory of Clinical Immunology and Microbiology, Division of Intramural Research, Bethesda, MD, United States
| | - Rebecca T Beuschel
- National Institute of Allergy and Infectious Diseases, NIH, Lymphocyte Biology Section and Center for Advanced Tissue Imaging, Bethesda, MD, United States
| | - Oren Amsalem
- Beth Israel Deaconess Medical Center, Harvard Medical School, Division of Endocrinology, Diabetes and Metabolism, Boston, MA, United States
| | | | - Simon Koplev
- Wellcome Sanger Institute, Cellular Genetics, Cambridge, United Kingdom
| | - Elizabeth Tuck
- Wellcome Sanger Institute, Cellular Genetics, Cambridge, United Kingdom
| | - Emma Dann
- Wellcome Sanger Institute, Cellular Genetics, Cambridge, United Kingdom
| | - Jolien Van Hulle
- Ghent University, Department of Diagnostic Sciences, Ghent, Belgium
| | - Shani Perera
- Wellcome Sanger Institute, Cellular Genetics, Cambridge, United Kingdom
| | - Tom Putteman
- Ghent University, Department of Diagnostic Sciences, Ghent, Belgium
| | | | - Monika Dabrowska
- Wellcome Sanger Institute, Cellular Genetics, Cambridge, United Kingdom
| | - Laura Richardson
- Wellcome Sanger Institute, Cellular Genetics, Cambridge, United Kingdom
| | - Catherine Tudor
- Wellcome Sanger Institute, Cellular Genetics, Cambridge, United Kingdom
| | - Alexandra Y Kreins
- Great Ormond Street Hospital for Children NHS Foundation Trust, Department of Immunology and Gene Therapy, London, United Kingdom
- UCL Great Ormond Street Institute of Child Health, Infection, Immunity and Inflammation Research & Teaching Department, London, United Kingdom
| | - Justin Engelbert
- Newcastle University, Biosciences Institute, Faculty of Medical Sciences, Newcastle upon Tyne, United Kingdom
| | - Emily Stephenson
- Newcastle University, Biosciences Institute, Faculty of Medical Sciences, Newcastle upon Tyne, United Kingdom
| | | | - Fabrizio De Rita
- Freeman Hospital, Department of Adult Congenital Heart Disease and Paediatric Cardiology/Cardiothoracic Surgery, Newcastle upon Tyne, United Kingdom
| | - David Crossland
- Freeman Hospital, Department of Adult Congenital Heart Disease and Paediatric Cardiology/Cardiothoracic Surgery, Newcastle upon Tyne, United Kingdom
| | - Marita Bosticardo
- National Institute of Allergy and Infectious Diseases, National Institutes of Health (NIH), Laboratory of Clinical Immunology and Microbiology, Division of Intramural Research, Bethesda, MD, United States
| | - Francesca Pala
- National Institute of Allergy and Infectious Diseases, National Institutes of Health (NIH), Laboratory of Clinical Immunology and Microbiology, Division of Intramural Research, Bethesda, MD, United States
| | - Elena Prigmore
- Wellcome Sanger Institute, Cellular Genetics, Cambridge, United Kingdom
| | | | - Martin Prete
- Wellcome Sanger Institute, Cellular Genetics, Cambridge, United Kingdom
| | - Lijiang Fei
- Wellcome Sanger Institute, Cellular Genetics, Cambridge, United Kingdom
| | - Ken To
- Wellcome Sanger Institute, Cellular Genetics, Cambridge, United Kingdom
| | - Roger A Barker
- University of Cambridge, John van Geest Centre for Brain Repair, Department of Clinical Neurosciences and Wellcome-MRC Cambridge Stem Cell Institute, Cambridge, United Kingdom
| | - Xiaoling He
- University of Cambridge, John van Geest Centre for Brain Repair, Department of Clinical Neurosciences and Wellcome-MRC Cambridge Stem Cell Institute, Cambridge, United Kingdom
| | - Filip Van Nieuwerburgh
- Ghent University, Laboratory of Pharmaceutical Biotechnology, Ghent, Belgium
- Cancer Research Institute Ghent (CRIG), Ghent, Belgium
| | - Omer Bayraktar
- Wellcome Sanger Institute, Cellular Genetics, Cambridge, United Kingdom
| | - Minal Patel
- Wellcome Sanger Institute, Cellular Genetics, Cambridge, United Kingdom
| | - Graham E Davies
- Great Ormond Street Hospital for Children NHS Foundation Trust, Department of Immunology and Gene Therapy, London, United Kingdom
- UCL Great Ormond Street Institute of Child Health, Infection, Immunity and Inflammation Research & Teaching Department, London, United Kingdom
| | - Muzlifah A Haniffa
- Wellcome Sanger Institute, Cellular Genetics, Cambridge, United Kingdom
- Newcastle University, Biosciences Institute, Faculty of Medical Sciences, Newcastle upon Tyne, United Kingdom
| | - Virginie Uhlmann
- European Molecular Biology Laboratory, European Bioinformatics Institute, Cambridge, United Kingdom
| | - Luigi D Notarangelo
- National Institute of Allergy and Infectious Diseases, National Institutes of Health (NIH), Laboratory of Clinical Immunology and Microbiology, Division of Intramural Research, Bethesda, MD, United States
| | - Ronald N Germain
- National Institute of Allergy and Infectious Diseases, NIH, Lymphocyte Biology Section and Center for Advanced Tissue Imaging, Bethesda, MD, United States
| | - Andrea J Radtke
- National Institute of Allergy and Infectious Diseases, NIH, Lymphocyte Biology Section and Center for Advanced Tissue Imaging, Bethesda, MD, United States
| | - John C Marioni
- European Molecular Biology Laboratory, European Bioinformatics Institute, Cambridge, United Kingdom
- University of Cambridge, Cancer Research UK, Cambridge, United Kingdom
| | - Tom Taghon
- Ghent University, Department of Diagnostic Sciences, Ghent, Belgium
- Cancer Research Institute Ghent (CRIG), Ghent, Belgium
| | - Sarah A Teichmann
- Wellcome Sanger Institute, Cellular Genetics, Cambridge, United Kingdom
- University of Cambridge, Cavendish Laboratory, Cambridge, United Kingdom
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10
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Liang KL, Laurenti E, Taghon T. Circulating IRF8-expressing CD123 +CD127 + lymphoid progenitors: key players in human hematopoiesis. Trends Immunol 2023; 44:678-692. [PMID: 37591714 PMCID: PMC7614993 DOI: 10.1016/j.it.2023.07.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Revised: 07/12/2023] [Accepted: 07/12/2023] [Indexed: 08/19/2023]
Abstract
Lymphopoiesis is the process in which B and T cells, and innate lymphoid cells (ILCs) develop from hematopoietic progenitors that exhibit early lymphoid priming. The branching points where lymphoid-primed human progenitors are further specified to B/T/ILC differentiation trajectories remain unclear. Here, we discuss the emerging role of interferon regulatory factor (IRF)8 as a key factor to bridge human lymphoid and dendritic cell (DC) differentiation, and the current evidence for the existence of circulating and tissue-resident CD123+CD127+ lymphoid progenitors. We propose a model whereby DC/B/T/ILC lineage programs in circulating CD123+CD127+ lymphoid progenitors are expressed in balance. Upon tissue seeding, the tissue microenvironment tilts this molecular balance towards a specific lineage, thereby determining in vivo lineage fates. Finally, we discuss the translational implication of these lymphoid precursors.
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Affiliation(s)
- Kai Ling Liang
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium; Cancer Research Institute Ghent, Ghent, Belgium
| | - Elisa Laurenti
- Department of Haematology, University of Cambridge, Cambridge, UK; Wellcome-MRC Cambridge Stem Cell Institute, Cambridge, UK
| | - Tom Taghon
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium; Cancer Research Institute Ghent, Ghent, Belgium.
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11
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Shen Y, Voigt A, Leng X, Rodriguez AA, Nguyen CQ. A current and future perspective on T cell receptor repertoire profiling. Front Genet 2023; 14:1159109. [PMID: 37408774 PMCID: PMC10319011 DOI: 10.3389/fgene.2023.1159109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2023] [Accepted: 06/12/2023] [Indexed: 07/07/2023] Open
Abstract
T cell receptors (TCR) play a vital role in the immune system's ability to recognize and respond to foreign antigens, relying on the highly polymorphic rearrangement of TCR genes. The recognition of autologous peptides by adaptive immunity may lead to the development and progression of autoimmune diseases. Understanding the specific TCR involved in this process can provide insights into the autoimmune process. RNA-seq (RNA sequencing) is a valuable tool for studying TCR repertoires by providing a comprehensive and quantitative analysis of the RNA transcripts. With the development of RNA technology, transcriptomic data must provide valuable information to model and predict TCR and antigen interaction and, more importantly, identify or predict neoantigens. This review provides an overview of the application and development of bulk RNA-seq and single-cell (SC) RNA-seq to examine the TCR repertoires. Furthermore, discussed here are bioinformatic tools that can be applied to study the structural biology of peptide/TCR/MHC (major histocompatibility complex) and predict antigenic epitopes using advanced artificial intelligence tools.
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Affiliation(s)
- Yiran Shen
- Department of Infectious Diseases and Immunology, College of Veterinary Medicine, University of Florida, Gainesville, FL, United States
| | - Alexandria Voigt
- Department of Infectious Diseases and Immunology, College of Veterinary Medicine, University of Florida, Gainesville, FL, United States
| | - Xuebing Leng
- Department of Microbiology and Immunology, Miller School of Medicine, University of Miami, Miami, FL, United States
| | - Amy A. Rodriguez
- Department of Infectious Diseases and Immunology, College of Veterinary Medicine, University of Florida, Gainesville, FL, United States
| | - Cuong Q. Nguyen
- Department of Infectious Diseases and Immunology, College of Veterinary Medicine, University of Florida, Gainesville, FL, United States
- Department of Oral Biology, College of Dentistry, University of Florida, Gainesville, FL, United States
- Center of Orphaned Autoimmune Diseases, University of Florida, Gainesville, FL, United States
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