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Pospiech M, Beckford J, Kumar AMS, Tamizharasan M, Brito J, Liang G, Mangul S, Alachkar H. The DNA methylation landscape across the TCR loci in patients with acute myeloid leukemia. Int Immunopharmacol 2024; 138:112376. [PMID: 38917523 DOI: 10.1016/j.intimp.2024.112376] [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: 02/06/2024] [Revised: 05/09/2024] [Accepted: 05/28/2024] [Indexed: 06/27/2024]
Abstract
The capacity of T cells to initiate anti-leukemia immune responses is determined by the ability of their receptors (TCRs) to recognize leukemia neoantigens. Epigenetic mechanisms including DNA methylation contribute to shaping the TCR repertoire composition and diversity. The DNA hypomethylating agents (HMAs) have been widely used in the treatment of acute myeloid leukemia (AML) and myelodysplastic syndrome (MDS). Whether DNA HMAs directly influence TCR gene loci methylation patterns remains unknown. By analyzing public datasets, we compared methylation patterns across TCR loci in AML patients and healthy controls. We also explored how HMAs influence TCR loci DNA methylation in patients with AML. While methylation patterns are largely conserved across the TCR loci, certain V genes exhibit high interindividual variability. Although overall methylation levels within the TCR loci did not show significant differences, specific sites, including 32 TRAV and 12 TRBV sites exhibited distinct methylation patterns when comparing T cells from healthy donors to those from patients with AML. In leukemic cells, decitabine treatment demethylates sites across the TRAV and TRBV genes. While not as significant, a similar pattern of demethylation is observed in T cells. Pretreatment AML samples exhibit higher methylation beta values in differentially methylated positions (DMPs) compared with non-DMPs. Methylation levels of certain TRAV and TRBV genes in leukemic cells are associated with patients' risk status. The presence of disease specific TCR loci methylated signatures that are associated with clinical outcome presents an opportunity for therapeutic intervention. HMAs can modulate the TCR loci methylation patterns, yet whether they could reprogram the TCR repertoire composition remains to be explored.
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MESH Headings
- Humans
- DNA Methylation
- Leukemia, Myeloid, Acute/genetics
- Leukemia, Myeloid, Acute/drug therapy
- Leukemia, Myeloid, Acute/immunology
- Decitabine/pharmacology
- Decitabine/therapeutic use
- Receptors, Antigen, T-Cell/genetics
- T-Lymphocytes/immunology
- Epigenesis, Genetic
- Antimetabolites, Antineoplastic/therapeutic use
- Antimetabolites, Antineoplastic/pharmacology
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Affiliation(s)
- Mateusz Pospiech
- Department of Clinical Pharmacy, USC Alfred E. Mann School of Pharmacy and Pharmaceutical Sciences, University of Southern California, Los Angeles, CA, the United States of America
| | - John Beckford
- Department of Clinical Pharmacy, USC Alfred E. Mann School of Pharmacy and Pharmaceutical Sciences, University of Southern California, Los Angeles, CA, the United States of America
| | - Advaith Maya Sanjeev Kumar
- Department of Clinical Pharmacy, USC Alfred E. Mann School of Pharmacy and Pharmaceutical Sciences, University of Southern California, Los Angeles, CA, the United States of America; Department of Computer Science, University of Southern California, Los Angeles, CA, the United States of America
| | - Mukund Tamizharasan
- Department of Clinical Pharmacy, USC Alfred E. Mann School of Pharmacy and Pharmaceutical Sciences, University of Southern California, Los Angeles, CA, the United States of America; Department of Computer Science, University of Southern California, Los Angeles, CA, the United States of America
| | - Jaqueline Brito
- Department of Clinical Pharmacy, USC Alfred E. Mann School of Pharmacy and Pharmaceutical Sciences, University of Southern California, Los Angeles, CA, the United States of America
| | - Gangning Liang
- Department of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA, the United States of America
| | - Serghei Mangul
- Department of Clinical Pharmacy, USC Alfred E. Mann School of Pharmacy and Pharmaceutical Sciences, University of Southern California, Los Angeles, CA, the United States of America
| | - Houda Alachkar
- Department of Clinical Pharmacy, USC Alfred E. Mann School of Pharmacy and Pharmaceutical Sciences, University of Southern California, Los Angeles, CA, the United States of America.
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2
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Billiet L, Jansen H, Pille M, Boehme L, Sanchez Sanchez G, De Cock L, Goetgeluk G, Pascal E, De Munter S, Deseins L, Ingels J, Michiels T, De Vos R, Zolfaghari A, Vandamme N, Roels J, Kerre T, Dmitriev RI, Taghon T, Vermijlen D, Vandekerckhove B. ThymoSpheres culture: A model to study human polyclonal unconventional T cells. Eur J Immunol 2024:e2451265. [PMID: 39246170 DOI: 10.1002/eji.202451265] [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: 06/23/2024] [Revised: 08/29/2024] [Accepted: 08/30/2024] [Indexed: 09/10/2024]
Abstract
In vitro cultures remain crucial for studying the fundamental mechanisms of human T-cell development. Here, we introduce a novel in vitro cultivation system based on ThymoSpheres (TS): dense spheroids consisting of DLL4-expressing stromal cells and human hematopoietic precursor cells, in the absence of thymic epithelial cells. These spheroids are subsequently cultured at the air-liquid interphase. TS generate large numbers of mature T cells, are easy to manipulate, scalable, and can be repeatably sampled to monitor T-cell differentiation. The mature T cells generated from primary human hematopoietic precursor cells were extensively characterized using single-cell RNA and combined T-cell receptor (TCR) sequencing. These predominantly CD8α T cells exhibit transcriptional and TCR CDR3 characteristics similar to the recently described human polyclonal αβ unconventional T cell (UTC) lineage. This includes the expression of hallmark genes associated with agonist selection, such as IKZF2 (Helios), and the expression of various natural killer receptors. The TCR repertoire of these UTCs is polyclonal and enriched for CDR3-associated autoreactive features and early rearrangements of the TCR-α chain. In conclusion, TS cultures offer an intriguing platform to study the development of this human polyclonal UTC lineage and its inducing selection mechanisms.
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Affiliation(s)
- Lore Billiet
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
| | - Hanne Jansen
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
| | - Melissa Pille
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
| | - Lena Boehme
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
| | - Guillem Sanchez Sanchez
- Department of Pharmacotherapy and Pharmaceutics, Université Libre de Bruxelles (ULB), Brussels, Belgium
- Institute for Medical Immunology, Université Libre de Bruxelles (ULB), Brussels, Belgium
- ULB Center for Research in Immunology (U-CRI), Université Libre de Bruxelles (ULB), Brussels, Belgium
- WELBIO Department, WEL Research Institute, Wavre, Belgium
| | - Laurenz De Cock
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
- Cancer Research Institute Ghent (CRIG), Ghent, Belgium
| | - Glenn Goetgeluk
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
- Cancer Research Institute Ghent (CRIG), Ghent, Belgium
| | - Eva Pascal
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
- Cancer Research Institute Ghent (CRIG), Ghent, Belgium
| | - Stijn De Munter
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
- Cancer Research Institute Ghent (CRIG), Ghent, Belgium
| | - Lucas Deseins
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
- Cancer Research Institute Ghent (CRIG), Ghent, Belgium
- Department of Internal Medicine and Pediatrics, Ghent University, Ghent, Belgium
| | - Joline Ingels
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
- Cancer Research Institute Ghent (CRIG), Ghent, Belgium
- GMP Unit CellGenTherapies, Ghent University Hospital, Ghent, Belgium
| | - Thomas Michiels
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
- Cancer Research Institute Ghent (CRIG), Ghent, Belgium
| | - Robrecht De Vos
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
- Cancer Research Institute Ghent (CRIG), Ghent, Belgium
- Department of Internal Medicine and Pediatrics, Ghent University, Ghent, Belgium
| | - Amin Zolfaghari
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
- Cancer Research Institute Ghent (CRIG), Ghent, Belgium
| | - Niels Vandamme
- VIB Single Cell Core, VIB, Ghent, Belgium
- Department of Biomedical Molecular Biology, Ghent University, Ghent, Belgium
| | - Jana Roels
- VIB Single Cell Core, VIB, Ghent, Belgium
- Department of Biomedical Molecular Biology, Ghent University, Ghent, Belgium
| | - Tessa Kerre
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
- Cancer Research Institute Ghent (CRIG), Ghent, Belgium
- Department of Internal Medicine and Pediatrics, Ghent University, Ghent, Belgium
| | - Ruslan I Dmitriev
- Tissue Engineering and Biomaterials Group, Department of Human Structure and Repair, Ghent University, Ghent, Belgium
| | - Tom Taghon
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
- Cancer Research Institute Ghent (CRIG), Ghent, Belgium
| | - David Vermijlen
- Department of Pharmacotherapy and Pharmaceutics, Université Libre de Bruxelles (ULB), Brussels, Belgium
- Institute for Medical Immunology, Université Libre de Bruxelles (ULB), Brussels, Belgium
- ULB Center for Research in Immunology (U-CRI), Université Libre de Bruxelles (ULB), Brussels, Belgium
- WELBIO Department, WEL Research Institute, Wavre, Belgium
| | - Bart Vandekerckhove
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
- Cancer Research Institute Ghent (CRIG), Ghent, Belgium
- GMP Unit CellGenTherapies, Ghent University Hospital, Ghent, Belgium
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Phongbunchoo Y, Braikia FZ, Pessoa-Rodrigues C, Ramamoorthy S, Ramachandran H, Grosschedl A, Ma F, Cauchy P, Akhtar A, Sen R, Mittler G, Grosschedl R. YY1-mediated enhancer-promoter communication in the immunoglobulin μ locus is regulated by MSL/MOF recruitment. Cell Rep 2024; 43:114456. [PMID: 38990722 DOI: 10.1016/j.celrep.2024.114456] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Revised: 05/02/2024] [Accepted: 06/21/2024] [Indexed: 07/13/2024] Open
Abstract
The rearrangement and expression of the immunoglobulin μ heavy chain (Igh) gene require communication of the intragenic Eμ and 3' regulatory region (RR) enhancers with the variable (VH) gene promoter. Eμ binding of the transcription factor YY1 has been implicated in enhancer-promoter communication, but the YY1 protein network remains obscure. By analyzing the comprehensive proteome of the 1-kb Eμ wild-type enhancer and that of Eμ lacking the YY1 binding site, we identified the male-specific lethal (MSL)/MOF complex as a component of the YY1 protein network. We found that MSL2 recruitment depends on YY1 and that gene knockout of Msl2 in primary pre-B cells reduces μ gene expression and chromatin looping of Eμ to the 3' RR enhancer and VH promoter. Moreover, Mof heterozygosity in mice impaired μ expression and early B cell differentiation. Together, these data suggest that the MSL/MOF complex regulates Igh gene expression by augmenting YY1-mediated enhancer-promoter communication.
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Affiliation(s)
- Yutthaphong Phongbunchoo
- Laboratory of Cellular and Molecular Immunology, Max Planck Institute of Immunobiology and Epigenetics, Freiburg, Germany
| | - Fatima-Zohra Braikia
- Laboratory of Molecular Biology & Immunology, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Cecilia Pessoa-Rodrigues
- Department of Chromatin Regulation, Max Planck Institute of Immunobiology and Epigenetics, Freiburg, Germany
| | - Senthilkumar Ramamoorthy
- Laboratory of Cellular and Molecular Immunology, Max Planck Institute of Immunobiology and Epigenetics, Freiburg, Germany; Division of Pediatric Hematology and Oncology, Department of Pediatrics and Adolescent Medicine, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany; Institute of Medical Bioinformatics and Systems Medicine, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Haribaskar Ramachandran
- Laboratory of Cellular and Molecular Immunology, Max Planck Institute of Immunobiology and Epigenetics, Freiburg, Germany
| | - Anna Grosschedl
- Laboratory of Cellular and Molecular Immunology, Max Planck Institute of Immunobiology and Epigenetics, Freiburg, Germany
| | - Fei Ma
- Laboratory of Molecular Biology & Immunology, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Pierre Cauchy
- Laboratory of Cellular and Molecular Immunology, Max Planck Institute of Immunobiology and Epigenetics, Freiburg, Germany
| | - Asifa Akhtar
- Department of Chromatin Regulation, Max Planck Institute of Immunobiology and Epigenetics, Freiburg, Germany.
| | - Ranjan Sen
- Laboratory of Molecular Biology & Immunology, National Institute on Aging, NIH, Baltimore, MD, USA.
| | - Gerhard Mittler
- Proteomics Facility, Max Planck Institute of Immunobiology and Epigenetics, Freiburg, Germany.
| | - Rudolf Grosschedl
- Laboratory of Cellular and Molecular Immunology, Max Planck Institute of Immunobiology and Epigenetics, Freiburg, Germany.
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4
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Shmidt D, Mamonkin M. CAR T Cells in T Cell Acute Lymphoblastic Leukemia and Lymphoblastic Lymphoma. CLINICAL LYMPHOMA, MYELOMA & LEUKEMIA 2024:S2152-2650(24)00211-8. [PMID: 38955579 DOI: 10.1016/j.clml.2024.05.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/29/2024] [Accepted: 05/28/2024] [Indexed: 07/04/2024]
Abstract
Chimeric antigen receptor (CAR T) therapy produced excellent activity in patients with relapsed/refractory B-lineage malignancies. However, extending these therapies to T cell cancers requires overcoming unique challenges. In the recent years, multiple approaches have been developed in preclinical models and some were tested in clinical trials in patients with treatment-refractory T-cell malignanices with promising early results. Here, we review main hurdles impeding the success of CAR T therapy in T-cell acute lymphoblastic leukemia/lymphoma (T-ALL/LBL), discuss potential solutions, and summarize recent progress in both preclinical and clinical development of CAR T therapy for these diseases.
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Affiliation(s)
- Daniil Shmidt
- Center for Cell and Gene Therapy, Baylor College of Medicine, Houston, TX
| | - Maksim Mamonkin
- Center for Cell and Gene Therapy, Baylor College of Medicine, Houston, TX; Department of Pathology and Immunology, Baylor College of Medicine, Houston, TX.
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5
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Nelson BN, Friedman JE. Developmental Programming of the Fetal Immune System by Maternal Western-Style Diet: Mechanisms and Implications for Disease Pathways in the Offspring. Int J Mol Sci 2024; 25:5951. [PMID: 38892139 PMCID: PMC11172957 DOI: 10.3390/ijms25115951] [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: 04/18/2024] [Revised: 05/24/2024] [Accepted: 05/27/2024] [Indexed: 06/21/2024] Open
Abstract
Maternal obesity and over/undernutrition can have a long-lasting impact on offspring health during critical periods in the first 1000 days of life. Children born to mothers with obesity have reduced immune responses to stimuli which increase susceptibility to infections. Recently, maternal western-style diets (WSDs), high in fat and simple sugars, have been associated with skewing neonatal immune cell development, and recent evidence suggests that dysregulation of innate immunity in early life has long-term consequences on metabolic diseases and behavioral disorders in later life. Several factors contribute to abnormal innate immune tolerance or trained immunity, including changes in gut microbiota, metabolites, and epigenetic modifications. Critical knowledge gaps remain regarding the mechanisms whereby these factors impact fetal and postnatal immune cell development, especially in precursor stem cells in bone marrow and fetal liver. Components of the maternal microbiota that are transferred from mothers consuming a WSD to their offspring are understudied and identifying cause and effect on neonatal innate and adaptive immune development needs to be refined. Tools including single-cell RNA-sequencing, epigenetic analysis, and spatial location of specific immune cells in liver and bone marrow are critical for understanding immune system programming. Considering the vital role immune function plays in offspring health, it will be important to understand how maternal diets can control developmental programming of innate and adaptive immunity.
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Affiliation(s)
- Benjamin N. Nelson
- Harold Hamm Diabetes Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA;
| | - Jacob E. Friedman
- Harold Hamm Diabetes Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA;
- Department of Physiology and Biochemistry, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA
- Department of Pediatrics, Section of Diabetes and Endocrinology, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA
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6
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Theofilatos D, Ho T, Waitt G, Äijö T, Schiapparelli LM, Soderblom EJ, Tsagaratou A. Deciphering the TET3 interactome in primary thymic developing T cells. iScience 2024; 27:109782. [PMID: 38711449 PMCID: PMC11070343 DOI: 10.1016/j.isci.2024.109782] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2023] [Revised: 03/04/2024] [Accepted: 04/15/2024] [Indexed: 05/08/2024] Open
Abstract
Ten-eleven translocation (TET) proteins are DNA dioxygenases that mediate active DNA demethylation. TET3 is the most highly expressed TET protein in thymic developing T cells. TET3, either independently or in cooperation with TET1 or TET2, has been implicated in T cell lineage specification by regulating DNA demethylation. However, TET-deficient mice exhibit complex phenotypes, suggesting that TET3 exerts multifaceted roles, potentially by interacting with other proteins. We performed liquid chromatography with tandem mass spectrometry in primary developing T cells to identify TET3 interacting partners in endogenous, in vivo conditions. We discover TET3 interacting partners. Our data establish that TET3 participates in a plethora of fundamental biological processes, such as transcriptional regulation, RNA polymerase elongation, splicing, DNA repair, and DNA replication. This resource brings in the spotlight emerging functions of TET3 and sets the stage for systematic studies to dissect the precise mechanistic contributions of TET3 in shaping T cell biology.
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Affiliation(s)
- Dimitris Theofilatos
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Tricia Ho
- Duke Proteomics and Metabolomics Core Facility, Duke Center for Genomic and Computational Biology, Duke University, Durham, NC, USA
| | - Greg Waitt
- Duke Proteomics and Metabolomics Core Facility, Duke Center for Genomic and Computational Biology, Duke University, Durham, NC, USA
| | - Tarmo Äijö
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | | | - Erik J. Soderblom
- Duke Proteomics and Metabolomics Core Facility, Duke Center for Genomic and Computational Biology, Duke University, Durham, NC, USA
- Department of Cell Biology, Duke University, Durham, NC, USA
| | - Ageliki Tsagaratou
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Microbiology and Immunology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
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7
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Weyrich A, Hecht W, Köhler K, Herden C, Henrich M. Comparative analysis of primer sets for the assessment of clonality in feline lymphomas. Front Vet Sci 2024; 11:1356330. [PMID: 38774911 PMCID: PMC11106357 DOI: 10.3389/fvets.2024.1356330] [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: 12/15/2023] [Accepted: 04/22/2024] [Indexed: 05/24/2024] Open
Abstract
Introduction Lymphomas are among the most important and common malignant tumors in cats. Differentiating lymphomas from reactive lymphoid proliferations can be challenging, so additional tools such as clonality assessment by PCR are important in diagnosis finding. Several PCR assays have been developed to assess clonality in feline lymphomas. For T-cell lymphomas TRG (T-cell receptor gamma) genes are the preferred target whereas for B-cell lymphomas most primer sets target immunoglobulin heavy chain (IGH) genes. Here we compare commonly used diagnostic primer sets for the assessment of clonality in feline lymphomas under controlled conditions (i.e., identical sample set, PCR setup, amplicon detection system). Methods Formalin-fixed and paraffin-embedded samples from 31 feline T-cell lymphomas, 29 B-cell lymphomas, and 11 non-neoplastic controls were analyzed by PCR combined with capillary electrophoresis. Results and discussion We show that the combination of the primer sets published by Weiss et al. and Mochizuki et al. provided the best results for T-cell clonality, i.e., correctly assigns most populations as clonal or polyclonal. For B-cell clonality, the combination of the primer sets by Mochizuki et al. and Rout et al. gave the best results when omitting the Kde gene rearrangement due to its low specificity. This study rigorously evaluated various primer sets under uniform experimental conditions to improve accuracy of lymphoma diagnostic and provides a recommendation for achieving the highest diagnostic precision in lymphoma clonality analysis.
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Affiliation(s)
| | | | | | | | - Manfred Henrich
- Institut für Veterinär-Pathologie, Justus-Liebig-Universität Giessen, Giessen, Germany
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Okano M, Miyamae J, Sakurai K, Yamaguchi T, Uehara R, Katakura F, Moritomo T. Subgenomic T cell receptor alpha and delta (TRA/TRD) loci in common carp. FISH & SHELLFISH IMMUNOLOGY 2024; 146:109421. [PMID: 38325591 DOI: 10.1016/j.fsi.2024.109421] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Revised: 01/10/2024] [Accepted: 01/30/2024] [Indexed: 02/09/2024]
Abstract
In jawed vertebrates, the T cell receptor alpha (TRA) and delta (TRD) genes, which encode the TRα and TRδ chains, respectively, are located as a nested structure on a single chromosome. To date, no animal has been reported to harbor multiple TRA/TRD loci on different chromosomes. Therefore, herein, we describe the first full annotation of the TRA/TRD genomic regions of common carp, an allo-tetraploid fish species that experiences cyprinid-specific whole-genome duplication (WGD) in evolution. Fine genomic maps of TRA/TRD genomic regions 1 and 2, on LG30 and LG22, respectively, were constructed using the annotations of complete sets of TRA and TRD genes, including TRA/TRD variable (V), TRA junction (J), and constant (C), TRD diversity (D), and the J and C genes. The structure and synteny of the TRA/TRD genomic regions were highly conserved in zebrafish, indicating that these regions are on individual chromosomes. Furthermore, analysis of the variable regions of the TRA and TRD genes in a monoclonal T cell line revealed that both subgenomic regions 1 and 2 were indeed rearranged. Although carp TRAV and TRDV genes were phylogenetically divided into different lineages, they were mixed and organized into the TRA/TRD V gene clusters on the genome, similar to that in other vertebrates. Notably, 285 potential TRA/TRD V genes were detected in the TRA/TRD genomic regions, which is the most abundant number of genes in vertebrates and approximately two-fold that in zebrafish. The recombination signal sequences (RSSs) at the end of each V gene differed between TRAV and TRDV, suggesting that RSS variations might separate each V gene into a TRα or TRδ chain. This study is the first to describe subgenomic TRA/TRD loci in animals. Our findings provide fundamental insights to elucidate the impact of WGD on the evolution of immune repertoire.
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Affiliation(s)
- Masaharu Okano
- Department of Legal Medicine, Nihon University School of Dentistry, Kanda-Surugadai 1-8-13, Chiyoda-Ku, Tokyo, 101-8310, Japan
| | - Jiro Miyamae
- Faculty of Veterinary Medicine, Okayama University of Science, Ikoino-oka 1-3, Imabari, Ehime, 794-8555, Japan
| | - Kohei Sakurai
- Department of Veterinary Medicine, College of Bioresource Sciences, Nihon University, Kameino 1866, Fujisawa, Kanagawa 252-0880, Japan
| | - Takuya Yamaguchi
- Department of Veterinary Medicine, College of Bioresource Sciences, Nihon University, Kameino 1866, Fujisawa, Kanagawa 252-0880, Japan
| | - Ren Uehara
- Department of Veterinary Medicine, College of Bioresource Sciences, Nihon University, Kameino 1866, Fujisawa, Kanagawa 252-0880, Japan
| | - Fumihiko Katakura
- Department of Veterinary Medicine, College of Bioresource Sciences, Nihon University, Kameino 1866, Fujisawa, Kanagawa 252-0880, Japan.
| | - Tadaaki Moritomo
- Department of Veterinary Medicine, College of Bioresource Sciences, Nihon University, Kameino 1866, Fujisawa, Kanagawa 252-0880, Japan
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9
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Materna M, Delmonte OM, Bosticardo M, Momenilandi M, Conrey PE, Muylder BCD, Bravetti C, Bellworthy R, Cederholm A, Staels F, Ganoza CA, Darko S, Sayed S, Le Floc’h C, Ogishi M, Rinchai D, Guenoun A, Bolze A, Khan T, Gervais A, Krüger R, Völler M, Palterer B, Sadeghi-Shabestari M, de Septenville AL, Schramm CA, Shah S, Tello-Cajiao JJ, Pala F, Amini K, Campos JS, Lima NS, Eriksson D, Lévy R, Seeleuthner Y, Jyonouchi S, Ata M, Al Ali F, Deswarte C, Pereira A, Mégre t J, Le Voyer T, Bastard P, Berteloot L, Dussiot M, Vladikine N, Cardenas PP, Jouanguy E, Alqahtani M, Hasan A, Thanaraj TA, Rosain J, Al Qureshah F, Sabato V, Alyanakian MA, Leruez-Ville M, Rozenberg F, Haddad E, Regueiro JR, Toribio ML, Kelsen JR, Salehi M, Nasiri S, Torabizadeh M, Rokni-Zadeh H, Changi-Ashtiani M, Vatandoost N, Moravej H, Akrami SM, Mazloomrezaei M, Cobat A, Meyts I, Etsushi T, Nishimura M, Moriya K, Mizukami T, Imai K, Abel L, Malissen B, Al-Mulla F, Alkuraya FS, Parvaneh N, von Bernuth H, Beetz C, Davi F, Douek DC, Cheynier R, Langlais D, Landegren N, Marr N, Morio T, Shahrooei M, Schrijvers R, Henrickson SE, Luche H, Notarangelo LD, Casanova JL, Béziat V. The immunopathological landscape of human pre-TCRα deficiency: From rare to common variants. Science 2024; 383:eadh4059. [PMID: 38422122 PMCID: PMC10958617 DOI: 10.1126/science.adh4059] [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: 03/01/2023] [Accepted: 01/26/2024] [Indexed: 03/02/2024]
Abstract
We describe humans with rare biallelic loss-of-function PTCRA variants impairing pre-α T cell receptor (pre-TCRα) expression. Low circulating naive αβ T cell counts at birth persisted over time, with normal memory αβ and high γδ T cell counts. Their TCRα repertoire was biased, which suggests that noncanonical thymic differentiation pathways can rescue αβ T cell development. Only a minority of these individuals were sick, with infection, lymphoproliferation, and/or autoimmunity. We also report that 1 in 4000 individuals from the Middle East and South Asia are homozygous for a common hypomorphic PTCRA variant. They had normal circulating naive αβ T cell counts but high γδ T cell counts. Although residual pre-TCRα expression drove the differentiation of more αβ T cells, autoimmune conditions were more frequent in these patients compared with the general population.
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Affiliation(s)
- Marie Materna
- Laboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM, Necker Hospital for Sick Children, Paris, France
- Imagine Institute, University of Paris-Cité, Paris, France
| | - Ottavia M. Delmonte
- Laboratory of Clinical Immunology and Microbiology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, USA
| | - Marita Bosticardo
- Laboratory of Clinical Immunology and Microbiology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, USA
| | - Mana Momenilandi
- Laboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM, Necker Hospital for Sick Children, Paris, France
- Imagine Institute, University of Paris-Cité, Paris, France
| | - Peyton E. Conrey
- Division of Allergy-Immunology, Department of Pediatrics, Children’s Hospital of Philadelphia; Philadelphia, USA
| | | | - Clotilde Bravetti
- Department of Biological Hematology, Hôpital Pitié-Salpêtrière, Assistance Publique-Hôpitaux de Paris (AP-HP) and Sorbonne Université, Paris, France
- Sorbonne University, Paris Cancer Institute CURAMUS, INSERM U1138, Paris, France
| | - Rebecca Bellworthy
- Deptartment of Human Genetics, Dahdaleh Institute of Genomic Medicine, McGill University, Montreal, Quebec, Canada
| | - Axel Cederholm
- Science for Life Laboratory, Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden
| | - Frederik Staels
- Allergy and Clinical Immunology Research Group, Department of Microbiology, Immunology and Transplantation, KU Leuven, Belgium
| | | | - Samuel Darko
- Human Immunology Section, Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Samir Sayed
- Division of Allergy-Immunology, Department of Pediatrics, Children’s Hospital of Philadelphia; Philadelphia, USA
| | - Corentin Le Floc’h
- Laboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM, Necker Hospital for Sick Children, Paris, France
- Imagine Institute, University of Paris-Cité, Paris, France
| | - Masato Ogishi
- St. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University, New York, USA
| | - Darawan Rinchai
- St. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University, New York, USA
| | | | | | - Taushif Khan
- Research Branch, Sidra Medicine, Doha, Qatar
- The Jackson Laboratory, Farmington, USA
| | - Adrian Gervais
- Laboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM, Necker Hospital for Sick Children, Paris, France
- Imagine Institute, University of Paris-Cité, Paris, France
| | - Renate Krüger
- Department of Pediatric Respiratory Medicine, Immunology and Critical Care Medicine, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health (BIH), Berlin, Germany
| | - Mirjam Völler
- Department of Pediatric Respiratory Medicine, Immunology and Critical Care Medicine, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health (BIH), Berlin, Germany
| | - Boaz Palterer
- Laboratory of Clinical Immunology and Microbiology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, USA
| | - Mahnaz Sadeghi-Shabestari
- Immunology Research Center, TB and Lung Disease Research Center, Mardaniazar children hospital, Tabriz University of Medical Science, Tabriz, Iran
| | - Anne Langlois de Septenville
- Department of Biological Hematology, Hôpital Pitié-Salpêtrière, Assistance Publique-Hôpitaux de Paris (AP-HP) and Sorbonne Université, Paris, France
| | - Chaim A. Schramm
- Human Immunology Section, Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Sanjana Shah
- Human Immunology Section, Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - John J. Tello-Cajiao
- Division of Allergy-Immunology, Department of Pediatrics, Children’s Hospital of Philadelphia; Philadelphia, USA
- Department of Pathology, The Children’s Hospital of Philadelphia, Philadelphia, USA
| | - Francesca Pala
- Laboratory of Clinical Immunology and Microbiology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, USA
| | - Kayla Amini
- Laboratory of Clinical Immunology and Microbiology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, USA
| | - Jose S. Campos
- Division of Allergy-Immunology, Department of Pediatrics, Children’s Hospital of Philadelphia; Philadelphia, USA
| | - Noemia Santana Lima
- Human Immunology Section, Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Daniel Eriksson
- Department of Immunology, Genetics and Pathology, Uppsala University and University Hospital, Section of Clinical Genetics, Uppsala, Sweden
| | - Romain Lévy
- Laboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM, Necker Hospital for Sick Children, Paris, France
- Imagine Institute, University of Paris-Cité, Paris, France
- Pediatric Immunology, Hematology and Rheumatology Unit, Necker Hospital for Sick Children, AP-HP, Paris, France
| | - Yoann Seeleuthner
- Laboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM, Necker Hospital for Sick Children, Paris, France
- Imagine Institute, University of Paris-Cité, Paris, France
| | - Soma Jyonouchi
- Division of Allergy-Immunology, Department of Pediatrics, Children’s Hospital of Philadelphia; Philadelphia, USA
| | - Manar Ata
- Human Immunology Section, Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | | | - Caroline Deswarte
- Laboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM, Necker Hospital for Sick Children, Paris, France
- Imagine Institute, University of Paris-Cité, Paris, France
| | - Anaïs Pereira
- Laboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM, Necker Hospital for Sick Children, Paris, France
- Imagine Institute, University of Paris-Cité, Paris, France
| | - Jérôme Mégre t
- Cytometry Core Facility, SFR Necker, INSERM US24-CNRS UAR3633, Paris, France
| | - Tom Le Voyer
- Laboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM, Necker Hospital for Sick Children, Paris, France
- Imagine Institute, University of Paris-Cité, Paris, France
| | - Paul Bastard
- Laboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM, Necker Hospital for Sick Children, Paris, France
- Imagine Institute, University of Paris-Cité, Paris, France
- St. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University, New York, USA
- Pediatric Immunology, Hematology and Rheumatology Unit, Necker Hospital for Sick Children, AP-HP, Paris, France
| | - Laureline Berteloot
- Department of Pediatric Radiology, University Hospital Necker-Enfants Malades, AP-HP, Paris, France
| | - Michaël Dussiot
- Imagine Institute, University of Paris-Cité, Paris, France
- Laboratory of Molecular Mechanisms of Hematological Disorders and Therapeutic Implications, INSERM UMR 1163, Paris, France
| | - Natasha Vladikine
- Laboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM, Necker Hospital for Sick Children, Paris, France
- Imagine Institute, University of Paris-Cité, Paris, France
| | - Paula P. Cardenas
- Department of Immunology, Complutense University School of Medicine and 12 de Octubre Health Research Institute (imas12), Madrid, Spain
| | - Emmanuelle Jouanguy
- Laboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM, Necker Hospital for Sick Children, Paris, France
- Imagine Institute, University of Paris-Cité, Paris, France
- St. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University, New York, USA
| | - Mashael Alqahtani
- Department of Translational Genomics, Center for Genomic Medicine, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Amal Hasan
- Department of Translational Research, Research Division, Dasman Diabetes Institute, Dasman, Kuwait City, Kuwait
| | - Thangavel Alphonse Thanaraj
- Department of Genetics and Bioinformatics, Research Division, Dasman Diabetes Institute, Dasman, Kuwait City, Kuwait
| | - Jérémie Rosain
- Laboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM, Necker Hospital for Sick Children, Paris, France
- Imagine Institute, University of Paris-Cité, Paris, France
| | - Fahd Al Qureshah
- St. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University, New York, USA
| | - Vito Sabato
- Department of Immunology, Allergology and Rheumatology, University of Antwerp, Antwerp University Hospital, Belgium
| | - Marie Alexandra Alyanakian
- Immunology Laboratory, Necker Hospital for Sick Children, Assistance Publique-Hôpitaux de Paris (AP-HP), Paris, France
| | | | - Flore Rozenberg
- University of Paris, Institut Cochin, INSERM U1016, CNRS UMR8104, Paris, France
- Virology, Cochin Hospital, AP-HP, APHP-CUP, Paris, France
| | - Elie Haddad
- Department of Pediatrics, Department of Microbiology, Immunology and Infectious Diseases, University of Montreal, CHU Sainte-Justine, Montreal, QC, Canada
| | - Jose R. Regueiro
- Department of Immunology, Complutense University School of Medicine and 12 de Octubre Health Research Institute (imas12), Madrid, Spain
| | - Maria L. Toribio
- Immune System Development and Function Unit, Centro de Biología Molecular Severo Ochoa, Consejo Superior de Investigaciones Científicas (CSIC), Universidad Autónoma de Madrid (UAM), Madrid, Spain
| | - Judith R. Kelsen
- Division of Gastroenterology, Hepatology and Nutrition at Children's Hospital of Philadelphia
| | - Mansoor Salehi
- Cellular, Molecular and Genetics Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
- Department of Genetics and Molecular Biology,Medical School, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Shahram Nasiri
- Department of Pediatric Neurology, Children's Medical Center of Abuzar, Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Mehdi Torabizadeh
- Golestan Hospital Clinical Research Development Unit, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Hassan Rokni-Zadeh
- Department of Medical Biotechnology, School of Medicine, Zanjan University of Medical Sciences (ZUMS), Zanjan, Iran
| | - Majid Changi-Ashtiani
- School of Mathematics, Institute for Research in Fundamental Sciences (IPM), Tehran, Iran
| | - Nasimeh Vatandoost
- Department of Genetics and Molecular Biology,Medical School, Isfahan University of Medical Sciences, Isfahan, Iran
- Pediatric Inherited Diseases Research Center, Research Institute for Primordial Prevention of Non-Communicable Disease, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Hossein Moravej
- Neonatal Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Seyed Mohammad Akrami
- Medical Genetics Poursina St., Genetic Deptartment, Medical Faculty, Tehran University of Medical Sciences, Tehran, Iran
- Dr. Shahrooei Laboratory, 22 Bahman St., Ashrafi Esfahani Blvd, Tehran, Iran
| | | | - Aurélie Cobat
- Laboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM, Necker Hospital for Sick Children, Paris, France
- Imagine Institute, University of Paris-Cité, Paris, France
- St. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University, New York, USA
| | - Isabelle Meyts
- Laboratory for Inborn Errors of Immunity, Department of Microbiology, Immunology and Transplantation, Department of Pediatrics, University Hospitals Leuven, KU Leuven, Leuven, Belgium
- Department of Pediatrics, University Hospitals Leuven, KU Leuven, Leuven, Belgium
| | - Toyofuku Etsushi
- Department of Pediatrics and Developmental Biology, Tokyo Medical and Dental University, Tokyo, Japan
| | - Madoka Nishimura
- Department of Pediatrics, NHO Kumamoto Medical Center, Kumamoto, Japan
| | - Kunihiko Moriya
- Department of Pediatrics, National Defense Medical College, Saitama, Japan
| | - Tomoyuki Mizukami
- Department of Pediatrics, NHO Kumamoto Medical Center, Kumamoto, Japan
| | - Kohsuke Imai
- Department of Pediatrics, National Defense Medical College, Saitama, Japan
| | - Laurent Abel
- Laboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM, Necker Hospital for Sick Children, Paris, France
- Imagine Institute, University of Paris-Cité, Paris, France
- St. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University, New York, USA
| | - Bernard Malissen
- Immunology Center of Marseille-Luminy, Aix Marseille University, Inserm, CNRS, Marseille, France
- Immunophenomics Center (CIPHE), Aix Marseille Université, Inserm, CNRS, Marseille, France
| | - Fahd Al-Mulla
- Department of Genetics and Bioinformatics, Research Division, Dasman Diabetes Institute, Dasman, Kuwait City, Kuwait
| | - Fowzan Sami Alkuraya
- Department of Translational Genomics, Center for Genomic Medicine, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
- Department of Anatomy and Cell Biology, College of Medicine, Alfaisal University, Riyadh, Saudi Arabia
| | - Nima Parvaneh
- Division of Allergy and Clinical Immunology, Department of Pediatrics, Tehran University of Medical Sciences, Tehran, Iran
| | - Horst von Bernuth
- Department of Pediatric Respiratory Medicine, Immunology and Critical Care Medicine, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health (BIH), Berlin, Germany
- Berlin Institute of Health at Charité – Universitätsmedizin Berlin, Germany
- Berlin-Brandenburg Center for Regenerative Therapies (BCRT), Charité - Universitätsmedizin Berlin, Berlin, Germany
- Labor Berlin GmbH, Department of Immunology, Berlin, Germany
| | | | - Frédéric Davi
- Department of Biological Hematology, Hôpital Pitié-Salpêtrière, Assistance Publique-Hôpitaux de Paris (AP-HP) and Sorbonne Université, Paris, France
- Sorbonne University, Paris Cancer Institute CURAMUS, INSERM U1138, Paris, France
| | - Daniel C. Douek
- Human Immunology Section, Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Rémi Cheynier
- University of Paris, Institut Cochin, INSERM U1016, CNRS UMR8104, Paris, France
| | - David Langlais
- Deptartment of Human Genetics, Dahdaleh Institute of Genomic Medicine, McGill University, Montreal, Quebec, Canada
| | - Nils Landegren
- Science for Life Laboratory, Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden
- Center for Molecular Medicine, Department of Medicine (Solna), Karolinska Institute, Stockholm, Sweden
| | - Nico Marr
- Department of Human Immunology, Sidra Medicine, Doha, Qatar
- College of Health and Life Sciences, Hamad Bin Khalifa University, Doha, Qatar
| | - Tomohiro Morio
- Department of Pediatrics and Developmental Biology, Tokyo Medical and Dental University, Tokyo, Japan
| | - Mohammad Shahrooei
- Dr. Shahrooei Laboratory, 22 Bahman St., Ashrafi Esfahani Blvd, Tehran, Iran
- Clinical and Diagnostic Immunology, Department of Microbiology, Immunology, and Transplantation, KU Leuven, Belgium
| | - Rik Schrijvers
- Allergy and Clinical Immunology Research Group, Department of Microbiology, Immunology and Transplantation, KU Leuven, Belgium
| | - Sarah E. Henrickson
- Division of Allergy-Immunology, Department of Pediatrics, Children’s Hospital of Philadelphia; Philadelphia, USA
- Institute for Immunology and Immune Health, University of Pennsylvania; Philadelphia, USA
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania; Philadelphia, USA
| | - Hervé Luche
- Immunophenomics Center (CIPHE), Aix Marseille Université, Inserm, CNRS, Marseille, France
| | - Luigi D. Notarangelo
- Laboratory of Clinical Immunology and Microbiology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, USA
| | - Jean-Laurent Casanova
- Laboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM, Necker Hospital for Sick Children, Paris, France
- Imagine Institute, University of Paris-Cité, Paris, France
- Human Immunology Section, Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
- Department of Pediatrics, Necker Hospital for Sick Children, AP-HP, France
- Howard Hughes Medical Institute, The Rockefeller University, New York, USA
| | - Vivien Béziat
- Laboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM, Necker Hospital for Sick Children, Paris, France
- Imagine Institute, University of Paris-Cité, Paris, France
- St. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University, New York, USA
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10
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Abstract
The thymus is an evolutionarily conserved organ that supports the development of T cells. Not only does the thymic environment support the rearrangement and expression of diverse T cell receptors but also provides a unique niche for the selection of appropriate T cell clones. Thymic selection ensures that the repertoire of available T cells is both useful (being MHC-restricted) and safe (being self-tolerant). The unique antigen-presentation features of the thymus ensure that the display of self-antigens is optimal to induce tolerance to all types of self-tissue. MHC class-specific functions of CD4+ T helper cells, CD8+ killer T cells and CD4+ regulatory T cells are also established in the thymus. Finally, the thymus provides signals for the development of several minor T cell subsets that promote immune and tissue homeostasis. This Review provides an introductory-level overview of our current understanding of the sophisticated thymic selection mechanisms that ensure T cells are useful and safe.
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Affiliation(s)
- K Maude Ashby
- Center for Immunology, University of Minnesota, Minneapolis, MN, USA
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11
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Fowler A, FitzPatrick M, Shanmugarasa A, Ibrahim ASF, Kockelbergh H, Yang HC, Williams-Walker A, Luu Hoang KN, Evans S, Provine N, Klenerman P, Soilleux EJ. An Interpretable Classification Model Using Gluten-Specific TCR Sequences Shows Diagnostic Potential in Coeliac Disease. Biomolecules 2023; 13:1707. [PMID: 38136579 PMCID: PMC10742135 DOI: 10.3390/biom13121707] [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: 10/03/2023] [Revised: 11/18/2023] [Accepted: 11/21/2023] [Indexed: 12/24/2023] Open
Abstract
Coeliac disease (CeD) is a T-cell mediated enteropathy triggered by dietary gluten which remains substantially under-diagnosed around the world. The diagnostic gold-standard requires histological assessment of intestinal biopsies taken at endoscopy while consuming a gluten-containing diet. However, there is a lack of concordance between pathologists in histological assessment, and both endoscopy and gluten challenge are burdensome and unpleasant for patients. Identification of gluten-specific T-cell receptors (TCRs) in the TCR repertoire could provide a less subjective diagnostic test, and potentially remove the need to consume gluten. We review published gluten-specific TCR sequences, and develop an interpretable machine learning model to investigate their diagnostic potential. To investigate this, we sequenced the TCR repertoires of mucosal CD4+ T cells from 20 patients with and without CeD. These data were used as a training dataset to develop the model, then an independently published dataset of 20 patients was used as the testing dataset. We determined that this model has a training accuracy of 100% and testing accuracy of 80% for the diagnosis of CeD, including in patients on a gluten-free diet (GFD). We identified 20 CD4+ TCR sequences with the highest diagnostic potential for CeD. The sequences identified here have the potential to provide an objective diagnostic test for CeD, which does not require the consumption of gluten.
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Affiliation(s)
- Anna Fowler
- Department of Health Data Science, Institute of Population Health, University of Liverpool, Liverpool L69 3GF, UK
| | - Michael FitzPatrick
- Translational Gastroenterology Unit, Nuffield Department of Medicine, University of Oxford, Oxford OX3 9DU, UK; (M.F.); (P.K.)
| | | | - Amro Sayed Fadel Ibrahim
- Department of Pathology, University of Cambridge, Cambridge CB2 1QP, UK; (A.S.F.I.); (H.-C.Y.); (A.W.-W.); (K.N.L.H.); (S.E.); (E.J.S.)
| | - Hannah Kockelbergh
- Department of Health Data Science, Institute of Population Health, University of Liverpool, Liverpool L69 3GF, UK
| | - Han-Chieh Yang
- Department of Pathology, University of Cambridge, Cambridge CB2 1QP, UK; (A.S.F.I.); (H.-C.Y.); (A.W.-W.); (K.N.L.H.); (S.E.); (E.J.S.)
| | - Amelia Williams-Walker
- Department of Pathology, University of Cambridge, Cambridge CB2 1QP, UK; (A.S.F.I.); (H.-C.Y.); (A.W.-W.); (K.N.L.H.); (S.E.); (E.J.S.)
| | - Kim Ngan Luu Hoang
- Department of Pathology, University of Cambridge, Cambridge CB2 1QP, UK; (A.S.F.I.); (H.-C.Y.); (A.W.-W.); (K.N.L.H.); (S.E.); (E.J.S.)
| | - Shelley Evans
- Department of Pathology, University of Cambridge, Cambridge CB2 1QP, UK; (A.S.F.I.); (H.-C.Y.); (A.W.-W.); (K.N.L.H.); (S.E.); (E.J.S.)
| | - Nicholas Provine
- Translational Gastroenterology Unit, Nuffield Department of Medicine, University of Oxford, Oxford OX3 9DU, UK; (M.F.); (P.K.)
| | - Paul Klenerman
- Translational Gastroenterology Unit, Nuffield Department of Medicine, University of Oxford, Oxford OX3 9DU, UK; (M.F.); (P.K.)
- Peter Medawar Building for Pathogen Research, University of Oxford, Oxford OX1 3SY, UK
| | - Elizabeth J. Soilleux
- Department of Pathology, University of Cambridge, Cambridge CB2 1QP, UK; (A.S.F.I.); (H.-C.Y.); (A.W.-W.); (K.N.L.H.); (S.E.); (E.J.S.)
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12
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Pospiech M, Tamizharasan M, Wei YC, Kumar AMS, Lou M, Milstein J, Alachkar H. Features of the TCR repertoire associate with patients' clinical and molecular characteristics in acute myeloid leukemia. Front Immunol 2023; 14:1236514. [PMID: 37928542 PMCID: PMC10620936 DOI: 10.3389/fimmu.2023.1236514] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Accepted: 09/07/2023] [Indexed: 11/07/2023] Open
Abstract
Background Allogeneic hematopoietic stem cell transplant remains the most effective strategy for patients with high-risk acute myeloid leukemia (AML). Leukemia-specific neoantigens presented by the major histocompatibility complexes (MHCs) are recognized by the T cell receptors (TCR) triggering the graft-versus-leukemia effect. A unique TCR signature is generated by a complex V(D)J rearrangement process to form TCR capable of binding to the peptide-MHC. The generated TCR repertoire undergoes dynamic changes with disease progression and treatment. Method Here we applied two different computational tools (TRUST4 and MIXCR) to extract the TCR sequences from RNA-seq data from The Cancer Genome Atlas (TCGA) and examine the association between features of the TCR repertoire in adult patients with AML and their clinical and molecular characteristics. Results We found that only ~30% of identified TCR CDR3s were shared by the two computational tools. Yet, patterns of TCR associations with patients' clinical and molecular characteristics based on data obtained from either tool were similar. The numbers of unique TCR clones were highly correlated with patients' white blood cell counts, bone marrow blast percentage, and peripheral blood blast percentage. Multivariable regressions of TCRA and TCRB median normalized number of unique clones with mutational status of AML patients using TRUST4 showed significant association of TCRA or TCRB with WT1 mutations, WBC count, %BM blast, and sex (adjusted in TCRB model). We observed a correlation between TCRA/B number of unique clones and the expression of T cells inhibitory signal genes (TIGIT, LAG3, CTLA-4) and foxp3, but not IL2RA, CD69 and TNFRSF9 suggestive of exhausted T cell phenotypes in AML. Conclusion Benchmarking of computational tools is needed to increase the accuracy of the identified clones. The utilization of RNA-seq data enables identification of highly abundant TCRs and correlating these clones with patients' clinical and molecular characteristics. This study further supports the value of high-resolution TCR-Seq analyses to characterize the TCR repertoire in patients.
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Affiliation(s)
- Mateusz Pospiech
- Department of Clinical Pharmacy, School of Pharmacy, University of Southern California, Los Angeles, CA, United States
| | - Mukund Tamizharasan
- Department of Clinical Pharmacy, School of Pharmacy, University of Southern California, Los Angeles, CA, United States
- Department of Computer Science, University of Southern California, Los Angeles, CA, United States
| | - Yu-Chun Wei
- Department of Clinical Pharmacy, School of Pharmacy, University of Southern California, Los Angeles, CA, United States
| | - Advaith Maya Sanjeev Kumar
- Department of Clinical Pharmacy, School of Pharmacy, University of Southern California, Los Angeles, CA, United States
- Department of Computer Science, University of Southern California, Los Angeles, CA, United States
| | - Mimi Lou
- Department of Clinical Pharmacy, School of Pharmacy, University of Southern California, Los Angeles, CA, United States
| | - Joshua Milstein
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
| | - Houda Alachkar
- Department of Clinical Pharmacy, School of Pharmacy, University of Southern California, Los Angeles, CA, United States
- Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, United States
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13
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Heimli M, Tennebø Flåm S, Sagsveen Hjorthaug H, Bjørnstad PM, Chernigovskaya M, Le QK, Tekpli X, Greiff V, Lie BA. Human thymic putative CD8αα precursors exhibit a biased TCR repertoire in single cell AIRR-seq. Sci Rep 2023; 13:17714. [PMID: 37853083 PMCID: PMC10584817 DOI: 10.1038/s41598-023-44693-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Accepted: 10/11/2023] [Indexed: 10/20/2023] Open
Abstract
Thymic T cell development comprises T cell receptor (TCR) recombination and assessment of TCR avidity towards self-peptide-MHC complexes presented by antigen-presenting cells. Self-reactivity may lead to negative selection, or to agonist selection and differentiation into unconventional lineages such as regulatory T cells and CD8[Formula: see text] T cells. To explore the effect of the adaptive immune receptor repertoire on thymocyte developmental decisions, we performed single cell adaptive immune receptor repertoire sequencing (scAIRR-seq) of thymocytes from human young paediatric thymi and blood. Thymic PDCD1+ cells, a putative CD8[Formula: see text] T cell precursor population, exhibited several TCR features previously associated with thymic and peripheral ZNF683+ CD8[Formula: see text] T cells, including enrichment of large and positively charged complementarity-determining region 3 (CDR3) amino acids. Thus, the TCR repertoire may partially explain the decision between conventional vs. agonist selected thymocyte differentiation, an aspect of importance for the development of therapies for patients with immune-mediated diseases.
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Affiliation(s)
- Marte Heimli
- Department of Medical Genetics, University of Oslo and Oslo University Hospital, 0424, Oslo, Norway
| | - Siri Tennebø Flåm
- Department of Medical Genetics, University of Oslo and Oslo University Hospital, 0424, Oslo, Norway
| | - Hanne Sagsveen Hjorthaug
- Department of Medical Genetics, University of Oslo and Oslo University Hospital, 0424, Oslo, Norway
| | - Pål Marius Bjørnstad
- Department of Medical Genetics, University of Oslo and Oslo University Hospital, 0424, Oslo, Norway
| | - Maria Chernigovskaya
- Department of Immunology, University of Oslo and Oslo University Hospital, 0372, Oslo, Norway
| | - Quy Khang Le
- Department of Immunology, University of Oslo and Oslo University Hospital, 0372, Oslo, Norway
| | - Xavier Tekpli
- Department of Medical Genetics, University of Oslo and Oslo University Hospital, 0424, Oslo, Norway
| | - Victor Greiff
- Department of Immunology, University of Oslo and Oslo University Hospital, 0372, Oslo, Norway
| | - Benedicte Alexandra Lie
- Department of Medical Genetics, University of Oslo and Oslo University Hospital, 0424, Oslo, Norway.
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14
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Miller D, Romero R, Myers L, Xu Y, Arenas-Hernandez M, Galaz J, Soto C, Done B, Quiroz A, Awonuga AO, Bryant DR, Tarca AL, Gomez-Lopez N. Immunosequencing and Profiling of T Cells at the Maternal-Fetal Interface of Women with Preterm Labor and Chronic Chorioamnionitis. JOURNAL OF IMMUNOLOGY (BALTIMORE, MD. : 1950) 2023; 211:1082-1098. [PMID: 37647360 PMCID: PMC10528178 DOI: 10.4049/jimmunol.2300201] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Accepted: 07/31/2023] [Indexed: 09/01/2023]
Abstract
T cells are implicated in the pathophysiology of preterm labor and birth, the leading cause of neonatal morbidity and mortality worldwide. Specifically, maternal decidual T cells infiltrate the chorioamniotic membranes in chronic chorioamnionitis (CCA), a placental lesion considered to reflect maternal anti-fetal rejection, leading to preterm labor and birth. However, the phenotype and TCR repertoire of decidual T cells in women with preterm labor and CCA have not been investigated. In this study, we used phenotyping, TCR sequencing, and functional assays to elucidate the molecular characteristics and Ag specificity of T cells infiltrating the chorioamniotic membranes in women with CCA who underwent term or preterm labor. Phenotyping indicated distinct enrichment of human decidual effector memory T cell subsets in cases of preterm labor with CCA without altered regulatory T cell proportions. TCR sequencing revealed that the T cell repertoire of CCA is characterized by increased TCR richness and decreased clonal expansion in women with preterm labor. We identified 15 clones associated with CCA and compared these against established TCR databases, reporting that infiltrating T cells may possess specificity for maternal and fetal Ags, but not common viral Ags. Functional assays demonstrated that choriodecidual T cells can respond to maternal and fetal Ags. Collectively, our findings provide, to our knowledge, novel insight into the complex processes underlying chronic placental inflammation and further support a role for effector T cells in the mechanisms of disease for preterm labor and birth. Moreover, this work further strengthens the contribution of adaptive immunity to the syndromic nature of preterm labor and birth.
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Affiliation(s)
- Derek Miller
- Pregnancy Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, US Department of Health and Human Services (NICHD/NIH/DHHS), Detroit, MI, 48201, and Bethesda, MD, 20892 USA
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI, 48201, USA
| | - Roberto Romero
- Pregnancy Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, US Department of Health and Human Services (NICHD/NIH/DHHS), Detroit, MI, 48201, and Bethesda, MD, 20892 USA
- Department of Obstetrics and Gynecology, University of Michigan, Ann Arbor, MI, 48201, USA
- Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI, 48201, USA
| | - Luke Myers
- Vanderbilt Vaccine Center, Vanderbilt University Medical Center, Nashville, TN, 37232, USA
| | - Yi Xu
- Pregnancy Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, US Department of Health and Human Services (NICHD/NIH/DHHS), Detroit, MI, 48201, and Bethesda, MD, 20892 USA
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI, 48201, USA
| | - Marcia Arenas-Hernandez
- Pregnancy Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, US Department of Health and Human Services (NICHD/NIH/DHHS), Detroit, MI, 48201, and Bethesda, MD, 20892 USA
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI, 48201, USA
| | - Jose Galaz
- Pregnancy Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, US Department of Health and Human Services (NICHD/NIH/DHHS), Detroit, MI, 48201, and Bethesda, MD, 20892 USA
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI, 48201, USA
- Division of Obstetrics and Gynecology, Faculty of Medicine, Pontificia Universidad Católica de Chile, Santiago, 8330024, Chile
| | - Cinque Soto
- Vanderbilt Vaccine Center, Vanderbilt University Medical Center, Nashville, TN, 37232, USA
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, 37232, USA
| | - Bogdan Done
- Pregnancy Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, US Department of Health and Human Services (NICHD/NIH/DHHS), Detroit, MI, 48201, and Bethesda, MD, 20892 USA
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI, 48201, USA
| | - Angelica Quiroz
- Department of Biochemistry, Microbiology, and Immunology, Wayne State University School of Medicine, Detroit, MI, 48201, USA
| | - Awoniyi O. Awonuga
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI, 48201, USA
| | - David R. Bryant
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI, 48201, USA
| | - Adi L. Tarca
- Pregnancy Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, US Department of Health and Human Services (NICHD/NIH/DHHS), Detroit, MI, 48201, and Bethesda, MD, 20892 USA
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI, 48201, USA
- Department of Computer Science, Wayne State University College of Engineering, Detroit, MI, 48201, USA
- Center for Molecular Medicine and Genetics, Wayne State University School of Medicine, Detroit, MI, 48201, USA
| | - Nardhy Gomez-Lopez
- Pregnancy Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, US Department of Health and Human Services (NICHD/NIH/DHHS), Detroit, MI, 48201, and Bethesda, MD, 20892 USA
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI, 48201, USA
- Department of Biochemistry, Microbiology, and Immunology, Wayne State University School of Medicine, Detroit, MI, 48201, USA
- Center for Molecular Medicine and Genetics, Wayne State University School of Medicine, Detroit, MI, 48201, USA
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15
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David NA, Lee RD, LaRue RS, Joo S, Farrar MA. Nuclear corepressors NCOR1 and NCOR2 entrain thymocyte signaling, selection, and emigration. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.09.27.559810. [PMID: 37808728 PMCID: PMC10557688 DOI: 10.1101/2023.09.27.559810] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/10/2023]
Abstract
T cell development proceeds via discrete stages that require both gene induction and gene repression. Transcription factors direct gene repression by associating with corepressor complexes containing chromatin-remodeling enzymes; the corepressors NCOR1 and NCOR2 recruit histone deacetylases to these complexes to silence transcription of target genes. Earlier work identified the importance of NCOR1 in promoting the survival of positively-selected thymocytes. Here, we used flow cytometry and single-cell RNA sequencing to identify a broader role for NCOR1 and NCOR2 in regulating thymocyte development. Using Cd4-cre mice, we found that conditional deletion of NCOR2 had no effect on thymocyte development, whereas conditional deletion of NCOR1 had a modest effect. In contrast, Cd4-cre x Ncor1f/f x Ncor2f/f mice exhibited a significant block in thymocyte development at the DP to SP transition. Combined NCOR1/2 deletion resulted in increased signaling through the T cell receptor, ultimately resulting in elevated BIM expression and increased negative selection. The NF-κB, NUR77, and MAPK signaling pathways were also upregulated in the absence of NCOR1/2, contributing to altered CD4/CD8 lineage commitment, TCR rearrangement, and thymocyte emigration. Taken together, our data identify multiple critical roles for the combined action of NCOR1 and NCOR2 over the course of thymocyte development.
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Affiliation(s)
- Natalie A David
- Center for Immunology, Masonic Cancer Center, Department of Laboratory Medicine and Pathology, Medical School, University of Minnesota, Minneapolis, MN 55455
| | - Robin D Lee
- Center for Immunology, Masonic Cancer Center, Department of Laboratory Medicine and Pathology, Medical School, University of Minnesota, Minneapolis, MN 55455
| | - Rebecca S LaRue
- Minnesota Supercomputing Institute, University of Minnesota, Minneapolis, MN 55455
| | - Sookyong Joo
- Center for Immunology, Masonic Cancer Center, Department of Laboratory Medicine and Pathology, Medical School, University of Minnesota, Minneapolis, MN 55455
| | - Michael A Farrar
- Center for Immunology, Masonic Cancer Center, Department of Laboratory Medicine and Pathology, Medical School, University of Minnesota, Minneapolis, MN 55455
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16
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He H, Yao Y, Tang L, Li Y, Li Z, Liu B, Lan Y. Divergent molecular events underlying initial T-cell commitment in human prenatal and postnatal thymus. Front Immunol 2023; 14:1240859. [PMID: 37828991 PMCID: PMC10565475 DOI: 10.3389/fimmu.2023.1240859] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Accepted: 09/07/2023] [Indexed: 10/14/2023] Open
Abstract
Introduction Intrathymic T-cell development is a coordinated process accompanied by dynamic changes in gene expression. Although the transcriptome characteristics of developing T cells in both human fetal and postnatal thymus at single-cell resolution have been revealed recently, the differences between human prenatal and postnatal thymocytes regarding the ontogeny and early events of T-cell development still remain obscure. Moreover, the transcriptional heterogeneity and posttranscriptional gene expression regulation such as alternative polyadenylation at different stages are also unknown. Method In this study, we performed integrative single-cell analyses of thymocytes at distinct developmental stages. Results The subsets of prenatal CD4-CD8- double-negative (DN) cells, the most immature thymocytes responsible for T-cell lineage commitment, were characterized. By comprehensively comparing prenatal and postnatal DN cells, we revealed significant differences in some key gene expressions. Specifically, prenatal DN subpopulations exhibited distinct biological processes and markedly activated several metabolic programs that may be coordinated to meet the required bioenergetic demands. Although showing similar gene expression patterns along the developmental path, prenatal and postnatal thymocytes were remarkably varied regarding the expression dynamics of some pivotal genes for cell cycle, metabolism, signaling pathway, thymus homing, and T-cell commitment. Finally, we quantified the transcriptome-wide changes in alternative polyadenylation across T-cell development and found diverse preferences of polyadenylation site usage in divergent populations along the T-cell commitment trajectory. Discussion In summary, our results revealed transcriptional heterogeneity and a dynamic landscape of alternative polyadenylation during T-cell development in both human prenatal and postnatal thymus, providing a comprehensive resource for understanding T lymphopoiesis in human thymus.
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Affiliation(s)
- Han He
- Key Laboratory for Regenerative Medicine of Ministry of Education, Institute of Hematology, School of Medicine, Jinan University, Guangzhou, China
| | - Yingpeng Yao
- Key Laboratory for Regenerative Medicine of Ministry of Education, Institute of Hematology, School of Medicine, Jinan University, Guangzhou, China
- Basic Medicine Postdoctoral Research Station, Jinan University, Guangzhou, China
| | - Lindong Tang
- Key Laboratory for Regenerative Medicine of Ministry of Education, Institute of Hematology, School of Medicine, Jinan University, Guangzhou, China
| | - Yuhui Li
- Key Laboratory for Regenerative Medicine of Ministry of Education, Institute of Hematology, School of Medicine, Jinan University, Guangzhou, China
| | - Zongcheng Li
- State Key Laboratory of Experimental Hematology, Haihe Laboratory of Cell Ecosystem, Institute of Hematology, Senior Department of Hematology, Fifth Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Bing Liu
- Key Laboratory for Regenerative Medicine of Ministry of Education, Institute of Hematology, School of Medicine, Jinan University, Guangzhou, China
- State Key Laboratory of Experimental Hematology, Haihe Laboratory of Cell Ecosystem, Institute of Hematology, Senior Department of Hematology, Fifth Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Yu Lan
- Key Laboratory for Regenerative Medicine of Ministry of Education, Institute of Hematology, School of Medicine, Jinan University, Guangzhou, China
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17
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Montemurro A, Povlsen HR, Jessen LE, Nielsen M. Benchmarking data-driven filtering for denoising of TCRpMHC single-cell data. Sci Rep 2023; 13:16147. [PMID: 37752190 PMCID: PMC10522655 DOI: 10.1038/s41598-023-43048-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Accepted: 09/18/2023] [Indexed: 09/28/2023] Open
Abstract
Pairing of the T cell receptor (TCR) with its cognate peptide-MHC (pMHC) is a cornerstone in T cell-mediated immunity. Recently, single-cell sequencing coupled with DNA-barcoded MHC multimer staining has enabled high-throughput studies of T cell specificities. However, the immense variability of TCR-pMHC interactions combined with the relatively low signal-to-noise ratio in the data generated using current technologies are complicating these studies. Several approaches have been proposed for denoising single-cell TCR-pMHC specificity data. Here, we present a benchmark evaluating two such denoising methods, ICON and ITRAP. We applied and evaluated the methods on publicly available immune profiling data provided by 10x Genomics. We find that both methods identified approximately 75% of the raw data as noise. We analyzed both internal metrics developed for the purpose and performance on independent data using machine learning methods trained on the raw and denoised 10x data. We find an increased signal-to-noise ratio comparing the denoised to the raw data for both methods, and demonstrate an overall superior performance of the ITRAP method in terms of both data consistency and performance. In conclusion, this study demonstrates that Improving the data quality from high throughput studies of TCRpMHC-specificity by denoising is paramount in increasing our understanding of T cell-mediated immunity.
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Affiliation(s)
- Alessandro Montemurro
- Department of Health Technology, Section for Bioinformatics, Technical University of Denmark, DTU, 2800, Kgs. Lyngby, Denmark
| | - Helle Rus Povlsen
- Department of Health Technology, Section for Bioinformatics, Technical University of Denmark, DTU, 2800, Kgs. Lyngby, Denmark
| | - Leon Eyrich Jessen
- Department of Health Technology, Section for Bioinformatics, Technical University of Denmark, DTU, 2800, Kgs. Lyngby, Denmark
| | - Morten Nielsen
- Department of Health Technology, Section for Bioinformatics, Technical University of Denmark, DTU, 2800, Kgs. Lyngby, Denmark.
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18
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Wibisono P, Sun J. Pathogen infection induces specific transgenerational modifications to gene expression and fitness in Caenorhabditis elegans. Front Physiol 2023; 14:1225858. [PMID: 37811492 PMCID: PMC10556243 DOI: 10.3389/fphys.2023.1225858] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2023] [Accepted: 09/12/2023] [Indexed: 10/10/2023] Open
Abstract
How pathogen infection in a parental generation affects response in future generations to the same pathogen via epigenetic modifications has been the topic of recent studies. These studies focused on changes attributed to transgenerational epigenetic inheritance and how these changes cause an observable difference in behavior or immune response in a population. However, we questioned if pathogen infection causes hidden epigenetic changes to fitness that are not observable at the population level. Using the nematode Caenorhabditis elegans as a model organism, we examined the generation-to-generation differences in survival of both an unexposed and primed lineage of animals against a human opportunistic pathogen Salmonella enterica. We discovered that training a lineage of C. elegans against a specific pathogen does not cause a significant change to overall survival, but rather narrows survival variability between generations. Quantification of gene expression revealed reduced variation of a specific member of the TFEB lipophagic pathway. We also provided the first report of a repeating pattern of survival times over the course of 12 generations in the control lineage of C. elegans. This repeating pattern indicates that the variability in survival between generations of the control lineage is not random but may be regulated by unknown mechanisms. Overall, our study indicates that pathogen infection can cause specific phenotypic changes due to epigenetic modifications, and a possible system of epigenetic regulation between generations.
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Affiliation(s)
- Phillip Wibisono
- Department of Translational Medicine and Physiology, Elson S. Floyd College of Medicine, Washington State University, Spokane, WA, United States
| | - Jingru Sun
- Department of Translational Medicine and Physiology, Elson S. Floyd College of Medicine, Washington State University, Spokane, WA, United States
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19
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Flumens D, Gielis S, Bartholomeus E, Campillo-Davo D, van der Heijden S, Versteven M, De Reu H, Smits E, Ogunjimi B, Laukens K, Meysman P, Lion E. Training of epitope-TCR prediction models with healthy donor-derived cancer-specific T cells. Methods Cell Biol 2023; 183:143-160. [PMID: 38548410 DOI: 10.1016/bs.mcb.2023.08.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/02/2024]
Abstract
Discovery of epitope-specific T-cell receptors (TCRs) for cancer therapies is a time consuming and expensive procedure that usually requires a large amount of patient cells. To maximize information from and minimize the need of precious samples in cancer research, prediction models have been developed to identify in silico epitope-specific TCRs. In this chapter, we provide a step-by-step protocol to train a prediction model using the user-friendly TCRex webtool for the nearly universal tumor-associated antigen Wilms' tumor 1 (WT1)-specific TCR repertoire. WT1 is a self-antigen overexpressed in numerous solid and hematological malignancies with a high clinical relevance. Training of computational models starts from a list of known epitope-specific TCRs which is often not available for new cancer epitopes. Therefore, we describe a workflow to assemble a training data set consisting of TCR sequences obtained from WT137-45-reactive CD8 T cell clones expanded and sorted from healthy donor peripheral blood mononuclear cells.
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Affiliation(s)
- Donovan Flumens
- Laboratory of Experimental Hematology (LEH), Vaccine & Infectious Disease Institute (VAXINFECTIO), Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Sofie Gielis
- Adrem Data Lab, Department of Computer Science, University of Antwerp, Antwerp, Belgium; Antwerp Unit for Data Analysis and Computation in Immunology and Sequencing (AUDACIS), University of Antwerp, Antwerp, Belgium; Biomedical Informatics Research Network Antwerp (Biomina), University of Antwerp, Antwerp, Belgium
| | - Esther Bartholomeus
- Antwerp Unit for Data Analysis and Computation in Immunology and Sequencing (AUDACIS), University of Antwerp, Antwerp, Belgium; Centre for Health Economics Research & Modeling Infectious Diseases (CHERMID), VAXINFECTIO, University of Antwerp, Antwerp, Belgium; Antwerp Center for Translational Immunology and Virology (ACTIV), Vaccine and Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | - Diana Campillo-Davo
- Laboratory of Experimental Hematology (LEH), Vaccine & Infectious Disease Institute (VAXINFECTIO), Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Sanne van der Heijden
- Laboratory of Experimental Hematology (LEH), Vaccine & Infectious Disease Institute (VAXINFECTIO), Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium; Center for Oncological Research (CORE), Integrated Personalized & Precision Oncology Network (IPPON), University of Antwerp, Antwerp, Belgium
| | - Maarten Versteven
- Laboratory of Experimental Hematology (LEH), Vaccine & Infectious Disease Institute (VAXINFECTIO), Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Hans De Reu
- Laboratory of Experimental Hematology (LEH), Vaccine & Infectious Disease Institute (VAXINFECTIO), Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Evelien Smits
- Antwerp Unit for Data Analysis and Computation in Immunology and Sequencing (AUDACIS), University of Antwerp, Antwerp, Belgium; Centre for Health Economics Research & Modeling Infectious Diseases (CHERMID), VAXINFECTIO, University of Antwerp, Antwerp, Belgium
| | - Benson Ogunjimi
- Antwerp Unit for Data Analysis and Computation in Immunology and Sequencing (AUDACIS), University of Antwerp, Antwerp, Belgium; Centre for Health Economics Research & Modeling Infectious Diseases (CHERMID), VAXINFECTIO, University of Antwerp, Antwerp, Belgium; Antwerp Center for Translational Immunology and Virology (ACTIV), Vaccine and Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | - Kris Laukens
- Adrem Data Lab, Department of Computer Science, University of Antwerp, Antwerp, Belgium; Antwerp Unit for Data Analysis and Computation in Immunology and Sequencing (AUDACIS), University of Antwerp, Antwerp, Belgium; Biomedical Informatics Research Network Antwerp (Biomina), University of Antwerp, Antwerp, Belgium
| | - Pieter Meysman
- Adrem Data Lab, Department of Computer Science, University of Antwerp, Antwerp, Belgium; Antwerp Unit for Data Analysis and Computation in Immunology and Sequencing (AUDACIS), University of Antwerp, Antwerp, Belgium; Biomedical Informatics Research Network Antwerp (Biomina), University of Antwerp, Antwerp, Belgium
| | - Eva Lion
- Laboratory of Experimental Hematology (LEH), Vaccine & Infectious Disease Institute (VAXINFECTIO), Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium; Antwerp Unit for Data Analysis and Computation in Immunology and Sequencing (AUDACIS), University of Antwerp, Antwerp, Belgium; Center for Cell Therapy & Regenerative Medicine (CCRG), Antwerp University Hospital, Edegem, Belgium.
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20
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Sala C, Staderini M, Lottini T, Duranti C, Angelini G, Constantin G, Arcangeli A. Expression of the ether-a-gò-gò-related gene 1 channel during B and T lymphocyte development: role in BCR and TCR signaling. Front Immunol 2023; 14:1111471. [PMID: 37744334 PMCID: PMC10515723 DOI: 10.3389/fimmu.2023.1111471] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Accepted: 08/07/2023] [Indexed: 09/26/2023] Open
Abstract
The functional relevance of K+ and Ca2+ ion channels in the "Store Operated Calcium Entry" (SOCE) during B and T lymphocyte activation is well proven. However, their role in the process of T- and B- cell development and selection is still poorly defined. In this scenario, our aim was to characterize the expression of the ether à-go-go-related gene 1 (ERG1) and KV1.3 K+ channels during the early stages of mouse lymphopoiesis and analyze how they affect Ca2+signaling, or other signaling pathways, known to mediate selection and differentiation processes of lymphoid clones. We provide here evidence that the mouse (m)ERG1 is expressed in primary lymphoid organs, bone marrow (BM), and thymus of C57BL/6 and SV129 mice. This expression is particularly evident in the BM during the developmental stages of B cells, before the positive selection (large and small PreB). mERG1 is also expressed in all thymic subsets of both strains, when lymphocyte positive and negative selection occurs. Partially overlapping results were obtained for KV1.3 expression. mERG1 and KV1.3 were expressed at significantly higher levels in B-cell precursors of mice developing an experimental autoimmune encephalomyelitis (EAE). The pharmacological blockage of ERG1 channels with E4031 produced a significant reduction in intracellular Ca2+ after lymphocyte stimulation in the CD4+ and double-positive T-cell precursors' subsets. This suggests that ERG1 might contribute to maintaining the electrochemical gradient responsible for driving Ca2+ entry, during T-cell receptor signaling which sustains lymphocyte selection checkpoints. Such role mirrors that performed by the shaker-type KV1.3 potassium channel during the activation process of mature lymphocytes. No effects on Ca2+ signaling were observed either in B-cell precursors after blocking KV1.3 with PSORA-4. In the BM, the pharmacological blockage of ERG1 channels produced an increase in ERK phosphorylation, suggesting an effect of ERG1 in regulating B-lymphocyte precursor clones' proliferation and checkpoint escape. Overall, our results suggest a novel physiological function of ERG1 in the processes of differentiation and selection of lymphoid precursors, paving the way to further studies aimed at defining the expression and role of ERG1 channels in immune-based pathologies in addition to that during lymphocyte neoplastic transformation.
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Affiliation(s)
- Cesare Sala
- Department of Experimental and Clinical Medicine, Section of Internal Medicine, University of Florence, Florence, Italy
| | - Martina Staderini
- Department of Experimental and Clinical Medicine, Section of Internal Medicine, University of Florence, Florence, Italy
| | - Tiziano Lottini
- Department of Experimental and Clinical Medicine, Section of Internal Medicine, University of Florence, Florence, Italy
| | - Claudia Duranti
- Department of Experimental and Clinical Medicine, Section of Internal Medicine, University of Florence, Florence, Italy
| | - Gabriele Angelini
- Department of Medicine, Section of General Pathology, University of Verona, Verona, Italy
| | - Gabriela Constantin
- Department of Medicine, Section of General Pathology, University of Verona, Verona, Italy
| | - Annarosa Arcangeli
- Department of Experimental and Clinical Medicine, Section of Internal Medicine, University of Florence, Florence, Italy
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21
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Janarthanam R, Kuang FL, Zalewski A, Amsden K, Wang MY, Ostilla L, Keeley K, Hirano I, Kagalwalla A, Wershil BK, Gonsalves N, Wechsler JB. Bulk T-cell receptor sequencing confirms clonality in pediatric eosinophilic esophagitis and identifies a food-specific repertoire. Allergy 2023; 78:2487-2496. [PMID: 37203302 PMCID: PMC10768854 DOI: 10.1111/all.15773] [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: 07/04/2022] [Revised: 03/15/2023] [Accepted: 04/04/2023] [Indexed: 05/20/2023]
Abstract
BACKGROUND Eosinophilic esophagitis (EoE) involves a chronic immune-mediated response to dietary antigens. Recent work identifies T-cell clonality in children with EoE, however, it is unknown whether this is true in adults or whether there is a restricted food-specific T-cell repertoire. We sought to confirm T-cell receptor (TCR) clonality in EoE and assess for differences with specific food triggers. METHODS Bulk TCR sequencing was performed on mRNA isolated from esophageal biopsies obtained from adults and children with EoE (n = 15) who had food triggers confirmed by endoscopic evaluation. Non-EoE adult and pediatric controls (n = 10) were included. Differences in TCR clonality by disease and treatment status were assessed. Shared and similar V-J-CDR3s were assessed based on specific food triggers. RESULTS Active EoE biopsies from children but not adults displayed decreased unique TCRα/β clonotypes and increased relative abundance of TCRs comprising >1% of the total compared to non-EoE controls and paired inactive EoE samples. Among patients in which baseline, post diet elimination, and food trigger reintroduction samples (n = 6) were obtained, we observed ~1% of TCRs were shared only between pre-diet elimination and trigger reintroduction. Patients with a shared EoE trigger (milk) had a greater degree of shared and similar TCRs compared to patients with differing triggers (seafood, wheat, egg, soy). CONCLUSION We confirmed relative clonality in children but not adults with active EoE and identified potential food-specific TCRs, particularly for milk-triggered EoE. Further studies are needed to better identify the broad TCR repertoire relevant to food triggers.
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Affiliation(s)
- Rethavathi Janarthanam
- Division of Gastroenterology, Hepatology & Nutrition, Ann & Robert H. Lurie Children's Hospital of Chicago, Northwestern University Feinberg school of Medicine, Chicago, Illinois, USA
| | - Fei Li Kuang
- Division of Allergy-Immunology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Angelika Zalewski
- Division of Gastroenterology and Hepatology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Katie Amsden
- Division of Gastroenterology, Hepatology & Nutrition, Ann & Robert H. Lurie Children's Hospital of Chicago, Northwestern University Feinberg school of Medicine, Chicago, Illinois, USA
| | - Ming-Yu Wang
- Division of Gastroenterology, Hepatology & Nutrition, Ann & Robert H. Lurie Children's Hospital of Chicago, Northwestern University Feinberg school of Medicine, Chicago, Illinois, USA
| | - Lorena Ostilla
- Division of Gastroenterology, Hepatology & Nutrition, Ann & Robert H. Lurie Children's Hospital of Chicago, Northwestern University Feinberg school of Medicine, Chicago, Illinois, USA
| | - Kaitlyn Keeley
- Division of Gastroenterology, Hepatology & Nutrition, Ann & Robert H. Lurie Children's Hospital of Chicago, Northwestern University Feinberg school of Medicine, Chicago, Illinois, USA
| | - Ikuo Hirano
- Division of Gastroenterology and Hepatology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Amir Kagalwalla
- Department of Pediatrics, John H. Stroger Cook County Hospital of Chicago, Chicago, Illinois, USA
| | - Barry K Wershil
- Division of Gastroenterology, Hepatology & Nutrition, Ann & Robert H. Lurie Children's Hospital of Chicago, Northwestern University Feinberg school of Medicine, Chicago, Illinois, USA
| | - Nirmala Gonsalves
- Division of Gastroenterology and Hepatology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Joshua B Wechsler
- Division of Gastroenterology, Hepatology & Nutrition, Ann & Robert H. Lurie Children's Hospital of Chicago, Northwestern University Feinberg school of Medicine, Chicago, Illinois, USA
- Division of Allergy-Immunology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
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22
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Adu-Berchie K, Obuseh FO, Mooney DJ. T Cell Development and Function. Rejuvenation Res 2023; 26:126-138. [PMID: 37154728 PMCID: PMC10460695 DOI: 10.1089/rej.2023.0015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/10/2023] Open
Abstract
T cells play critical roles in the immune system, including in responses to cancer, autoimmunity, and tissue regeneration. T cells arise from common lymphoid progenitors (CLPs) that differentiate from hematopoietic stem cells in the bone marrow. CLPs then traffic to the thymus, where they undergo thymopoiesis through a number of selection steps, resulting in mature single positive naive CD4 helper or CD8 cytotoxic T cells. Naive T cells are home to secondary lymphoid organs like lymph nodes and are primed by antigen-presenting cells, which scavenge for both foreign and self-antigens. Effector T cell function is multifaceted, including direct target cell lysis and secretion of cytokines, which regulate the functions of other immune cells (refer to "Graphical Abstract"). This review will discuss T cell development and function, from the development of lymphoid progenitors in the bone marrow to principles that govern T cell effector function and dysfunction, specifically within the context of cancer.
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Affiliation(s)
- Kwasi Adu-Berchie
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, USA
- The Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, Massachusetts, USA
| | - Favour O. Obuseh
- The Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, Massachusetts, USA
- Harvard-MIT Health Sciences and Technology, Cambridge, Massachusetts, USA
| | - David J. Mooney
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, USA
- The Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, Massachusetts, USA
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23
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Calabria A, Cipriani C, Spinozzi G, Rudilosso L, Esposito S, Benedicenti F, Albertini A, Pouzolles M, Luoni M, Giannelli S, Broccoli V, Guilbaud M, Adjali O, Taylor N, Zimmermann VS, Montini E, Cesana D. Intrathymic AAV delivery results in therapeutic site-specific integration at TCR loci in mice. Blood 2023; 141:2316-2329. [PMID: 36790505 PMCID: PMC10356579 DOI: 10.1182/blood.2022017378] [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: 06/10/2022] [Revised: 12/22/2022] [Accepted: 01/21/2023] [Indexed: 02/16/2023] Open
Abstract
Adeno-associated virus (AAV) vectors have been successfully exploited in gene therapy applications for the treatment of several genetic disorders. AAV is considered an episomal vector, but it has been shown to integrate within the host cell genome after the generation of double-strand DNA breaks or nicks. Although AAV integration raises some safety concerns, it can also provide therapeutic benefit; the direct intrathymic injection of an AAV harboring a therapeutic transgene results in integration in T-cell progenitors and long-term T-cell immunity. To assess the mechanisms of AAV integration, we retrieved and analyzed hundreds of AAV integration sites from lymph node-derived mature T cells and compared these with liver and brain tissue from treated mice. Notably, we found that although AAV integrations in the liver and brain were distributed across the entire mouse genome, >90% of the integrations in T cells were clustered within the T-cell receptor α, β, and γ genes. More precisely, the insertion mapped to DNA breaks created by the enzymatic activity of recombination activating genes (RAGs) during variable, diversity, and joining recombination. Our data indicate that RAG activity during T-cell receptor maturation induces a site-specific integration of AAV genomes and opens new therapeutic avenues for achieving long-term AAV-mediated gene transfer in dividing cells.
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Affiliation(s)
- Andrea Calabria
- San Raffaele Telethon Institute for Gene Therapy, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Carlo Cipriani
- San Raffaele Telethon Institute for Gene Therapy, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Giulio Spinozzi
- San Raffaele Telethon Institute for Gene Therapy, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Laura Rudilosso
- San Raffaele Telethon Institute for Gene Therapy, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Simona Esposito
- San Raffaele Telethon Institute for Gene Therapy, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Fabrizio Benedicenti
- San Raffaele Telethon Institute for Gene Therapy, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Alessandra Albertini
- San Raffaele Telethon Institute for Gene Therapy, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Marie Pouzolles
- Institut de Génétique Moléculaire de Montpellier, Centre National de la Recherche Scientifique (CNRS), Paris, France
| | - Mirko Luoni
- Stem Cell and Neurogenesis Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Serena Giannelli
- Stem Cell and Neurogenesis Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Vania Broccoli
- Stem Cell and Neurogenesis Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neuroscience Institute, National Research Council of Italy, Milan, Italy
| | - Mickael Guilbaud
- Translational Gene Therapy Laboratory, INSERM and Nantes University, Nantes, France
| | - Oumeya Adjali
- Translational Gene Therapy Laboratory, INSERM and Nantes University, Nantes, France
| | - Naomi Taylor
- Institut de Génétique Moléculaire de Montpellier, Centre National de la Recherche Scientifique (CNRS), Paris, France
- Pediatric Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Valérie S. Zimmermann
- Institut de Génétique Moléculaire de Montpellier, Centre National de la Recherche Scientifique (CNRS), Paris, France
| | - Eugenio Montini
- San Raffaele Telethon Institute for Gene Therapy, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Daniela Cesana
- San Raffaele Telethon Institute for Gene Therapy, IRCCS San Raffaele Scientific Institute, Milan, Italy
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24
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Sun S, Wijanarko K, Liani O, Strumila K, Ng ES, Elefanty AG, Stanley EG. Lymphoid cell development from fetal hematopoietic progenitors and human pluripotent stem cells. Immunol Rev 2023; 315:154-170. [PMID: 36939073 PMCID: PMC10952469 DOI: 10.1111/imr.13197] [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: 03/21/2023]
Abstract
Lymphoid cells encompass the adaptive immune system, including T and B cells and Natural killer T cells (NKT), and innate immune cells (ILCs), including Natural Killer (NK) cells. During adult life, these lineages are thought to derive from the differentiation of long-term hematopoietic stem cells (HSCs) residing in the bone marrow. However, during embryogenesis and fetal development, the ontogeny of lymphoid cells is both complex and multifaceted, with a large body of evidence suggesting that lymphoid lineages arise from progenitor cell populations antedating the emergence of HSCs. Recently, the application of single cell RNA-sequencing technologies and pluripotent stem cell-based developmental models has provided new insights into lymphoid ontogeny during embryogenesis. Indeed, PSC differentiation platforms have enabled de novo generation of lymphoid immune cells independently of HSCs, supporting conclusions drawn from the study of hematopoiesis in vivo. Here, we examine lymphoid development from non-HSC progenitor cells and technological advances in the differentiation of human lymphoid cells from pluripotent stem cells for clinical translation.
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Affiliation(s)
- Shicheng Sun
- Murdoch Children's Research InstituteThe Royal Children's HospitalParkvilleVictoriaAustralia
- Department of Paediatrics, Faculty of Medicine, Dentistry and Health SciencesUniversity of MelbourneParkvilleVictoriaAustralia
- The Novo Nordisk Foundation Center for Stem Cell Medicine (reNEW), Murdoch Children's Research InstituteParkvilleVictoriaAustralia
| | - Kevin Wijanarko
- Murdoch Children's Research InstituteThe Royal Children's HospitalParkvilleVictoriaAustralia
- Department of Paediatrics, Faculty of Medicine, Dentistry and Health SciencesUniversity of MelbourneParkvilleVictoriaAustralia
- The Novo Nordisk Foundation Center for Stem Cell Medicine (reNEW), Murdoch Children's Research InstituteParkvilleVictoriaAustralia
| | - Oniko Liani
- Murdoch Children's Research InstituteThe Royal Children's HospitalParkvilleVictoriaAustralia
- Department of Paediatrics, Faculty of Medicine, Dentistry and Health SciencesUniversity of MelbourneParkvilleVictoriaAustralia
- The Novo Nordisk Foundation Center for Stem Cell Medicine (reNEW), Murdoch Children's Research InstituteParkvilleVictoriaAustralia
| | - Kathleen Strumila
- Murdoch Children's Research InstituteThe Royal Children's HospitalParkvilleVictoriaAustralia
- Department of Paediatrics, Faculty of Medicine, Dentistry and Health SciencesUniversity of MelbourneParkvilleVictoriaAustralia
- The Novo Nordisk Foundation Center for Stem Cell Medicine (reNEW), Murdoch Children's Research InstituteParkvilleVictoriaAustralia
| | - Elizabeth S. Ng
- Murdoch Children's Research InstituteThe Royal Children's HospitalParkvilleVictoriaAustralia
- Department of Paediatrics, Faculty of Medicine, Dentistry and Health SciencesUniversity of MelbourneParkvilleVictoriaAustralia
- The Novo Nordisk Foundation Center for Stem Cell Medicine (reNEW), Murdoch Children's Research InstituteParkvilleVictoriaAustralia
| | - Andrew G. Elefanty
- Murdoch Children's Research InstituteThe Royal Children's HospitalParkvilleVictoriaAustralia
- Department of Paediatrics, Faculty of Medicine, Dentistry and Health SciencesUniversity of MelbourneParkvilleVictoriaAustralia
- The Novo Nordisk Foundation Center for Stem Cell Medicine (reNEW), Murdoch Children's Research InstituteParkvilleVictoriaAustralia
| | - Edouard G. Stanley
- Murdoch Children's Research InstituteThe Royal Children's HospitalParkvilleVictoriaAustralia
- Department of Paediatrics, Faculty of Medicine, Dentistry and Health SciencesUniversity of MelbourneParkvilleVictoriaAustralia
- The Novo Nordisk Foundation Center for Stem Cell Medicine (reNEW), Murdoch Children's Research InstituteParkvilleVictoriaAustralia
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25
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Genolet R, Bobisse S, Chiffelle J, Arnaud M, Petremand R, Queiroz L, Michel A, Reichenbach P, Cesbron J, Auger A, Baumgaertner P, Guillaume P, Schmidt J, Irving M, Kandalaft LE, Speiser DE, Coukos G, Harari A. TCR sequencing and cloning methods for repertoire analysis and isolation of tumor-reactive TCRs. CELL REPORTS METHODS 2023; 3:100459. [PMID: 37159666 PMCID: PMC10163020 DOI: 10.1016/j.crmeth.2023.100459] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Revised: 02/27/2023] [Accepted: 03/27/2023] [Indexed: 05/11/2023]
Abstract
T cell receptor (TCR) technologies, including repertoire analyses and T cell engineering, are increasingly important in the clinical management of cellular immunity in cancer, transplantation, and other immune diseases. However, sensitive and reliable methods for repertoire analyses and TCR cloning are still lacking. Here, we report on SEQTR, a high-throughput approach to analyze human and mouse repertoires that is more sensitive, reproducible, and accurate as compared with commonly used assays, and thus more reliably captures the complexity of blood and tumor TCR repertoires. We also present a TCR cloning strategy to specifically amplify TCRs from T cell populations. Positioned downstream of single-cell or bulk TCR sequencing, it allows time- and cost-effective discovery, cloning, screening, and engineering of tumor-specific TCRs. Together, these methods will accelerate TCR repertoire analyses in discovery, translational, and clinical settings and permit fast TCR engineering for cellular therapies.
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Affiliation(s)
- Raphael Genolet
- Ludwig Institute for Cancer Research, Lausanne Branch, University of Lausanne and Lausanne University Hospital, Lausanne, Switzerland
- Center of Experimental Therapeutics, Department of Oncology, Lausanne University Hospital, Lausanne, Switzerland
- Corresponding author
| | - Sara Bobisse
- Ludwig Institute for Cancer Research, Lausanne Branch, University of Lausanne and Lausanne University Hospital, Lausanne, Switzerland
- Center of Experimental Therapeutics, Department of Oncology, Lausanne University Hospital, Lausanne, Switzerland
| | - Johanna Chiffelle
- Ludwig Institute for Cancer Research, Lausanne Branch, University of Lausanne and Lausanne University Hospital, Lausanne, Switzerland
- Center of Experimental Therapeutics, Department of Oncology, Lausanne University Hospital, Lausanne, Switzerland
| | - Marion Arnaud
- Ludwig Institute for Cancer Research, Lausanne Branch, University of Lausanne and Lausanne University Hospital, Lausanne, Switzerland
- Center of Experimental Therapeutics, Department of Oncology, Lausanne University Hospital, Lausanne, Switzerland
| | - Rémy Petremand
- Ludwig Institute for Cancer Research, Lausanne Branch, University of Lausanne and Lausanne University Hospital, Lausanne, Switzerland
- Center of Experimental Therapeutics, Department of Oncology, Lausanne University Hospital, Lausanne, Switzerland
| | - Lise Queiroz
- Ludwig Institute for Cancer Research, Lausanne Branch, University of Lausanne and Lausanne University Hospital, Lausanne, Switzerland
- Center of Experimental Therapeutics, Department of Oncology, Lausanne University Hospital, Lausanne, Switzerland
| | - Alexandra Michel
- Ludwig Institute for Cancer Research, Lausanne Branch, University of Lausanne and Lausanne University Hospital, Lausanne, Switzerland
- Center of Experimental Therapeutics, Department of Oncology, Lausanne University Hospital, Lausanne, Switzerland
| | - Patrick Reichenbach
- Ludwig Institute for Cancer Research, Lausanne Branch, University of Lausanne and Lausanne University Hospital, Lausanne, Switzerland
| | - Julien Cesbron
- Ludwig Institute for Cancer Research, Lausanne Branch, University of Lausanne and Lausanne University Hospital, Lausanne, Switzerland
- Center of Experimental Therapeutics, Department of Oncology, Lausanne University Hospital, Lausanne, Switzerland
| | - Aymeric Auger
- Ludwig Institute for Cancer Research, Lausanne Branch, University of Lausanne and Lausanne University Hospital, Lausanne, Switzerland
- Center of Experimental Therapeutics, Department of Oncology, Lausanne University Hospital, Lausanne, Switzerland
| | - Petra Baumgaertner
- Ludwig Institute for Cancer Research, Lausanne Branch, University of Lausanne and Lausanne University Hospital, Lausanne, Switzerland
- Center of Experimental Therapeutics, Department of Oncology, Lausanne University Hospital, Lausanne, Switzerland
| | - Philippe Guillaume
- Ludwig Institute for Cancer Research, Lausanne Branch, University of Lausanne and Lausanne University Hospital, Lausanne, Switzerland
- Center of Experimental Therapeutics, Department of Oncology, Lausanne University Hospital, Lausanne, Switzerland
| | - Julien Schmidt
- Ludwig Institute for Cancer Research, Lausanne Branch, University of Lausanne and Lausanne University Hospital, Lausanne, Switzerland
- Center of Experimental Therapeutics, Department of Oncology, Lausanne University Hospital, Lausanne, Switzerland
| | - Melita Irving
- Ludwig Institute for Cancer Research, Lausanne Branch, University of Lausanne and Lausanne University Hospital, Lausanne, Switzerland
| | - Lana E. Kandalaft
- Ludwig Institute for Cancer Research, Lausanne Branch, University of Lausanne and Lausanne University Hospital, Lausanne, Switzerland
- Center of Experimental Therapeutics, Department of Oncology, Lausanne University Hospital, Lausanne, Switzerland
| | - Daniel E. Speiser
- Ludwig Institute for Cancer Research, Lausanne Branch, University of Lausanne and Lausanne University Hospital, Lausanne, Switzerland
| | - George Coukos
- Ludwig Institute for Cancer Research, Lausanne Branch, University of Lausanne and Lausanne University Hospital, Lausanne, Switzerland
- Corresponding author
| | - Alexandre Harari
- Ludwig Institute for Cancer Research, Lausanne Branch, University of Lausanne and Lausanne University Hospital, Lausanne, Switzerland
- Corresponding author
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26
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Aburajab R, Pospiech M, Alachkar H. Profiling the epigenetic landscape of the antigen receptor repertoire: the missing epi-immunogenomics data. Nat Methods 2023; 20:477-481. [PMID: 36522502 PMCID: PMC11058354 DOI: 10.1038/s41592-022-01723-9] [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] [Indexed: 12/23/2022]
Abstract
High-resolution sequencing methods that capture the epigenetic landscape within the T cell receptor (TCR) gene loci are pivotal for a fundamental understanding of the epigenetic regulatory mechanisms of the TCR repertoire. In our opinion, filling the gaps in our understanding of the epigenetic mechanisms regulating the TCR repertoire will benefit the development of strategies that can modulate the TCR repertoire composition by leveraging the dynamic nature of epigenetic modifications.
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Affiliation(s)
- Rayyan Aburajab
- Department of Clinical Pharmacy, School of Pharmacy, University of Southern California, Los Angeles, CA, USA
| | - Mateusz Pospiech
- Department of Clinical Pharmacy, School of Pharmacy, University of Southern California, Los Angeles, CA, USA
| | - Houda Alachkar
- Department of Clinical Pharmacy, School of Pharmacy, University of Southern California, Los Angeles, CA, USA.
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27
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Frank ML, Lu K, Erdogan C, Han Y, Hu J, Wang T, Heymach JV, Zhang J, Reuben A. T-Cell Receptor Repertoire Sequencing in the Era of Cancer Immunotherapy. Clin Cancer Res 2023; 29:994-1008. [PMID: 36413126 PMCID: PMC10011887 DOI: 10.1158/1078-0432.ccr-22-2469] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Revised: 10/07/2022] [Accepted: 11/14/2022] [Indexed: 11/23/2022]
Abstract
T cells are integral components of the adaptive immune system, and their responses are mediated by unique T-cell receptors (TCR) that recognize specific antigens from a variety of biological contexts. As a result, analyzing the T-cell repertoire offers a better understanding of immune responses and of diseases like cancer. Next-generation sequencing technologies have greatly enabled the high-throughput analysis of the TCR repertoire. On the basis of our extensive experience in the field from the past decade, we provide an overview of TCR sequencing, from the initial library preparation steps to sequencing and analysis methods and finally to functional validation techniques. With regards to data analysis, we detail important TCR repertoire metrics and present several computational tools for predicting antigen specificity. Finally, we highlight important applications of TCR sequencing and repertoire analysis to understanding tumor biology and developing cancer immunotherapies.
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Affiliation(s)
- Meredith L Frank
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.,The University of Texas MD Anderson Cancer Center UT Health Houston Graduate School of Biomedical Sciences, Houston, Texas
| | - Kaylene Lu
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.,The University of Texas MD Anderson Cancer Center UT Health Houston Graduate School of Biomedical Sciences, Houston, Texas.,Department of Cancer Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Can Erdogan
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.,Rice University, Houston, Texas
| | - Yi Han
- Quantitative Biomedical Research Center, Peter O'Donnell Jr. School of Public Health, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Jian Hu
- The University of Texas MD Anderson Cancer Center UT Health Houston Graduate School of Biomedical Sciences, Houston, Texas.,Department of Cancer Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Tao Wang
- Quantitative Biomedical Research Center, Peter O'Donnell Jr. School of Public Health, University of Texas Southwestern Medical Center, Dallas, Texas.,Center for the Genetics of Host Defense, University of Texas Southwestern Medical Center, Dallas, Texas
| | - John V Heymach
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.,The University of Texas MD Anderson Cancer Center UT Health Houston Graduate School of Biomedical Sciences, Houston, Texas
| | - Jianjun Zhang
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.,The University of Texas MD Anderson Cancer Center UT Health Houston Graduate School of Biomedical Sciences, Houston, Texas.,Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Alexandre Reuben
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.,The University of Texas MD Anderson Cancer Center UT Health Houston Graduate School of Biomedical Sciences, Houston, Texas
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28
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Meitei HT, Lal G. T cell receptor signaling in the differentiation and plasticity of CD4 + T cells. Cytokine Growth Factor Rev 2023; 69:14-27. [PMID: 36028461 DOI: 10.1016/j.cytogfr.2022.08.001] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Accepted: 08/17/2022] [Indexed: 02/07/2023]
Abstract
CD4+ T cells are critical components of the adaptive immune system. The T cell receptor (TCR) and co-receptor signaling cascades shape the phenotype and functions of CD4+ T cells. TCR signaling plays a crucial role in T cell development, antigen recognition, activation, and differentiation upon recognition of foreign- or auto-antigens. In specific autoimmune conditions, altered TCR repertoire is reported and can predispose autoimmunity with organ-specific inflammation and tissue damage. TCR signaling modulates various signaling cascades and regulates epigenetic and transcriptional regulation during homeostasis and disease conditions. Understanding the mechanism by which coreceptors and cytokine signals control the magnitude of TCR signal amplification will aid in developing therapeutic strategies to treat inflammation and autoimmune diseases. This review focuses on the role of the TCR signaling cascade and its components in the activation, differentiation, and plasticity of various CD4+ T cell subsets.
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Affiliation(s)
| | - Girdhari Lal
- National Centre for Cell Science, SPPU campus, Ganeshkhind, Pune, MH 411007, India.
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29
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Takahashi H, Iriki H, Asahina Y. T cell autoimmunity and immune regulation to desmoglein 3, a pemphigus autoantigen. J Dermatol 2023; 50:112-123. [PMID: 36539957 PMCID: PMC10107879 DOI: 10.1111/1346-8138.16663] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 11/11/2022] [Accepted: 11/20/2022] [Indexed: 12/24/2022]
Abstract
Pemphigus is a life-threatening autoimmune bullous disease mediated by anti-desmoglein IgG autoantibodies. Pemphigus is mainly classified into three subtypes: pemphigus vulgaris, pemphigus foliaceus, and paraneoplastic pemphigus. The pathogenicity of autoantibodies has been extensively studied. Anti-human CD20 antibody therapy targeting B cells emerged as a more effective treatment option compared to conventional therapy for patients with an intractable disease. On the other hand, autoreactive T cells are considered to be involved in the pathogenesis based on the test results of human leukocyte antigen association, autoreactive T cell detection, and cytokine profile analysis. Research on the role of T cells in pemphigus has continued to progress, including that on T follicular helper cells, which initiate molecular mechanisms involved in antibody production in B cells. Autoreactive T cell research in mice has highlighted the crucial roles of cellular autoimmunity and improved the understanding of its pathogenesis, especially in paraneoplastic pemphigus. The mouse research has helped elucidate novel regulatory mechanisms of autoreactive T cells, such as thymic tolerance to desmoglein 3 and the essential roles of regulatory T cells, Langerhans cells, and other molecules in peripheral tissues. This review focuses on the immunological aspects of autoreactive T cells in pemphigus by providing detailed information on various related topics.
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Affiliation(s)
- Hayato Takahashi
- Department of Dermatology, Keio University School of Medicine, Tokyo, Japan
| | - Hisato Iriki
- Department of Dermatology, Keio University School of Medicine, Tokyo, Japan
| | - Yasuhiko Asahina
- Department of Dermatology, Keio University School of Medicine, Tokyo, Japan
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30
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Dauphars DJ, Wu G, Bassing CH, Krangel MS. Methods for Study of Mouse T Cell Receptor α and β Gene Rearrangements. Methods Mol Biol 2023; 2580:261-282. [PMID: 36374463 DOI: 10.1007/978-1-0716-2740-2_16] [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: 06/16/2023]
Abstract
Quantitative real-time PCR and next-generation sequencing (NGS) are invaluable techniques to analyze T cell receptor (Tcr) gene rearrangements in mouse lymphocyte populations. Although these approaches are powerful, they also have limitations that must be accounted for in experimental design and data interpretation. Here, we provide relevant background required for understanding these limitations and then outline established quantitative real-time PCR and NGS methods that can be used for analysis of mouse Tcra and Tcrb gene rearrangements in mice.
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Affiliation(s)
- Danielle J Dauphars
- Department of Immunology, Duke University School of Medicine, Durham, NC, USA
| | - Glendon Wu
- Immunology Graduate Group, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
- Department of Pathology and Laboratory Medicine, Center for Childhood Cancer Research, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Craig H Bassing
- Immunology Graduate Group, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
- Department of Pathology and Laboratory Medicine, Center for Childhood Cancer Research, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
- Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
| | - Michael S Krangel
- Department of Immunology, Duke University School of Medicine, Durham, NC, USA.
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31
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Bosselut R. A Beginner's Guide to T Cell Development. Methods Mol Biol 2023; 2580:3-24. [PMID: 36374448 DOI: 10.1007/978-1-0716-2740-2_1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
T lymphocytes (T cells) are essential components of the adaptive immune system; they serve multiple functions in responses to pathogens and to ensure immune homeostasis. Written for readers first entering this field of study, this chapter is a brief overview of the development of T cells in the thymus, from the entry of thymus-settling bone marrow-derived precursors to the egress of mature T cells. Surveyed topics include the differentiation and expansion of early precursors, the generation of the T cell antigen receptor repertoire, the selection of αβ T cell precursors, and their acquisition of functional competency.
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Affiliation(s)
- Rémy Bosselut
- Laboratory of Immune Cell Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
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32
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Tumor immunology. Clin Immunol 2023. [DOI: 10.1016/b978-0-12-818006-8.00003-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
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33
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Mehta NM, Li Y, Patel V, Li W, Morningstar-Kywi N, Pospiech M, Alachkar H, Haworth IS. Prediction of Peptide and TCR CDR3 Loops in Formation of Class I MHC-Peptide-TCR Complexes Using Molecular Models with Solvation. Methods Mol Biol 2023; 2673:273-287. [PMID: 37258921 PMCID: PMC11059237 DOI: 10.1007/978-1-0716-3239-0_19] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/02/2023]
Abstract
Formation of major histocompatibility (MHC)-peptide-T cell receptor (TCR) complexes is central to initiation of an adaptive immune response. These complexes form through initial stabilization of the MHC fold via binding of a short peptide, and subsequent interaction of the TCR to form a ternary complex, with contacts made predominantly through the complementarity-determining region (CDR) loops of the TCR. Stimulation of an immune response is central to cancer immunotherapy. This approach depends on identification of the appropriate combinations of MHC molecules, peptides, and TCRs to elicit an antitumor immune response. This prediction is a current challenge in computational biochemistry. In this chapter, we introduce a predictive method that involves generation of multiple peptides and TCR CDR 3 loop conformations, solvation of these conformers in the context of the MHC-peptide-TCR ternary complex, extraction of parameters from the generated complexes, and use of an AI model to evaluate the potential for the assembled ternary complex to support an immune response.
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Affiliation(s)
- Nairuti Milan Mehta
- Department of Pharmacology and Pharmaceutical Sciences, Alfred E. Mann School of Pharmacy and Pharmaceutical Sciences, University of Southern California, Los Angeles, CA, USA
| | - Yuhui Li
- Department of Pharmacology and Pharmaceutical Sciences, Alfred E. Mann School of Pharmacy and Pharmaceutical Sciences, University of Southern California, Los Angeles, CA, USA
| | - Vini Patel
- Department of Pharmacology and Pharmaceutical Sciences, Alfred E. Mann School of Pharmacy and Pharmaceutical Sciences, University of Southern California, Los Angeles, CA, USA
| | - Wanning Li
- Titus Family Department of Clinical Pharmacy, Alfred E. Mann School of Pharmacy and Pharmaceutical Sciences, University of Southern California, Los Angeles, CA, USA
| | - Noam Morningstar-Kywi
- Department of Pharmacology and Pharmaceutical Sciences, Alfred E. Mann School of Pharmacy and Pharmaceutical Sciences, University of Southern California, Los Angeles, CA, USA
| | - Mateusz Pospiech
- Titus Family Department of Clinical Pharmacy, Alfred E. Mann School of Pharmacy and Pharmaceutical Sciences, University of Southern California, Los Angeles, CA, USA
| | - Houda Alachkar
- Titus Family Department of Clinical Pharmacy, Alfred E. Mann School of Pharmacy and Pharmaceutical Sciences, University of Southern California, Los Angeles, CA, USA
| | - Ian S Haworth
- Department of Pharmacology and Pharmaceutical Sciences, Alfred E. Mann School of Pharmacy and Pharmaceutical Sciences, University of Southern California, Los Angeles, CA, USA.
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Esteso G, Felgueres MJ, García-Jiménez ÁF, Reyburn-Valés C, Benguría A, Vázquez E, Reyburn HT, Aguiló N, Martín C, Puentes E, Murillo I, Rodríguez E, Valés-Gómez M. BCG-activation of leukocytes is sufficient for the generation of donor-independent innate anti-tumor NK and γδ T-cells that can be further expanded in vitro. Oncoimmunology 2022; 12:2160094. [PMID: 36567803 PMCID: PMC9788708 DOI: 10.1080/2162402x.2022.2160094] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Bacillus Calmette-Guérin (BCG), the nonpathogenic Mycobacterium bovis strain used as tuberculosis vaccine, has been successfully used as treatment for non-muscle invasive bladder cancer for decades, and suggested to potentiate cellular and humoral immune responses. However, the exact mechanism of action is not fully understood. We previously described that BCG mainly activated anti-tumor cytotoxic NK cells with upregulation of CD56 and a CD16+ phenotype. Now, we show that stimulation of human peripheral blood mononuclear cells with iBCG, a preparation based on BCG-Moreau, expands oligoclonal γδ T-cells, with a cytotoxic phenotype, together with anti-tumor CD56high CD16+ NK cells. We have used scRNA-seq, flow cytometry, and functional assays to characterize these BCG-activated γδ T-cells in detail. They had a high IFNγ secretion signature with expression of CD27+ and formed conjugates with bladder cancer cells. BCG-activated γδ T-cells proliferated strongly in response to minimal doses of cytokines and had anti-tumor functions, although not fully based on degranulation. BCG was sufficient to stimulate proliferation of γδ T-cells when cultured with other PBMC; however, BCG alone did not stimulate expansion of purified γδ T-cells. The characterization of these non-donor restricted lymphocyte populations, which can be expanded in vitro, could provide a new approach to prepare cell-based immunotherapy tools.
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Affiliation(s)
- Gloria Esteso
- Department of Immunology and Oncology, National Centre for Biotechnology, Spanish National Research Council, Madrid, Spain
| | - María José Felgueres
- Department of Immunology and Oncology, National Centre for Biotechnology, Spanish National Research Council, Madrid, Spain
| | - Álvaro F. García-Jiménez
- Department of Immunology and Oncology, National Centre for Biotechnology, Spanish National Research Council, Madrid, Spain
| | - Christina Reyburn-Valés
- Department of Immunology and Oncology, National Centre for Biotechnology, Spanish National Research Council, Madrid, Spain
| | - Alberto Benguría
- Servicio de Genómica, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain
| | - Enrique Vázquez
- Servicio de Genómica, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain
| | - Hugh T. Reyburn
- Department of Immunology and Oncology, National Centre for Biotechnology, Spanish National Research Council, Madrid, Spain
| | - Nacho Aguiló
- Grupo de Genética de Micobacterias, Departamento de Microbiología y Medicina Preventiva, Facultad de Medicina, Universidad de Zaragoza, IIS-Aragon; Zaragoza, Spain and CIBER Enfermedades Respiratorias, Instituto de Salud Carlos III; Madrid, Spain
| | - Carlos Martín
- Grupo de Genética de Micobacterias, Departamento de Microbiología y Medicina Preventiva, Facultad de Medicina, Universidad de Zaragoza, IIS-Aragon; Zaragoza, Spain and CIBER Enfermedades Respiratorias, Instituto de Salud Carlos III; Madrid, Spain,Servicio de Microbiología, Hospital Universitario Miguel Servet, IIS Aragon; Zaragoza, Spain
| | - Eugenia Puentes
- Clinical Research Department y Research & Development Department, Biofabri, Grupo Zendal, O’Porriño, Pontevedra, Spain
| | - Ingrid Murillo
- Clinical Research Department y Research & Development Department, Biofabri, Grupo Zendal, O’Porriño, Pontevedra, Spain
| | - Esteban Rodríguez
- Clinical Research Department y Research & Development Department, Biofabri, Grupo Zendal, O’Porriño, Pontevedra, Spain
| | - Mar Valés-Gómez
- Department of Immunology and Oncology, National Centre for Biotechnology, Spanish National Research Council, Madrid, Spain,CONTACT Mar Valés-Gómez Department of Immunology and Oncology, National Centre for Biotechnology, Spanish National Research Council, Madrid, Spain
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35
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Arman I, Haus-Cohen M, Reiter Y. The Intracellular Proteome as a Source for Novel Targets in CAR-T and T-Cell Engagers-Based Immunotherapy. Cells 2022; 12:cells12010027. [PMID: 36611821 PMCID: PMC9818436 DOI: 10.3390/cells12010027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Revised: 11/29/2022] [Accepted: 12/01/2022] [Indexed: 12/24/2022] Open
Abstract
The impressive clinical success of cancer immunotherapy has motivated the continued search for new targets that may serve to guide potent effector functions in an attempt to efficiently kill malignant cells. The intracellular proteome is an interesting source for such new targets, such as neo-antigens and others, with growing interest in their application for cell-based immunotherapies. These intracellular-derived targets are peptides presented by MHC class I molecules on the cell surface of malignant cells. These disease-specific class I HLA-peptide complexes can be targeted by specific TCRs or by antibodies that mimic TCR-specificity, termed TCR-like (TCRL) antibodies. Adoptive cell transfer of TCR engineered T cells and T-cell-receptor-like based CAR-T cells, targeted against a peptide-MHC of interest, are currently tested as cancer therapeutic agents in pre-clinical and clinical trials, along with soluble TCR- and TCRL-based agents, such as immunotoxins and bi-specific T cell engagers. Targeting the intracellular proteome using TCRL- and TCR-based molecules shows promising results in cancer immunotherapy, as exemplified by the success of the anti-gp100/HLA-A2 TCR-based T cell engager, recently approved by the FDA for the treatment of unresectable or metastatic uveal melanoma. This review is focused on the selection and isolation processes of TCR- and TCRL-based targeting moieties, with a spotlight on pre-clinical and clinical studies, examining peptide-MHC targeting agents in cancer immunotherapy.
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36
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Cao X, Zhang J, Deng S, Ding S. Chromosome-Level Genome Assembly of the Speckled Blue Grouper ( Epinephelus cyanopodus) Provides Insight into Its Adaptive Evolution. BIOLOGY 2022; 11:1810. [PMID: 36552321 PMCID: PMC9775623 DOI: 10.3390/biology11121810] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Revised: 12/09/2022] [Accepted: 12/11/2022] [Indexed: 12/15/2022]
Abstract
Epinephelus cyanopodus is a coral reef-dwelling grouper with important economic and ecological value and is widely distributed in the western Pacific Ocean. The lack of genomic resources for E. cyanopodus hinders its adaptive evolution and phylogeny research. We constructed the first high-quality genome of E. cyanopodus based on DNBSEQ, PacBio, and Hic sequencing technologies, with a genome size of 998.82 Mb, contig N50 of 5.855 Mb, and scaffold N50 of 41.98 Mb. More than 99.7% of contigs were anchored to 24 pseudochromosomes, and 94.2% of BUSCO genes were found in the E. cyanopodus genome, indicating a high genome assembly completeness. A total of 26,337 protein-coding genes were predicted, of which 98.77% were functionally annotated. Phylogenetic analysis showed that E. cyanopodus separated from its closely related species Epinephelus akaara about 11.5-26.5 million years ago, and the uplift of the Indo-Australian archipelago may have provided an opportunity for its rapid radiation. Moreover, several gene families associated with innate and adaptive immunity were significantly expanded in speckled blue grouper compared to other teleost genomes. Additionally, we identified several genes associated with immunity, growth and reproduction that are under positive selection in E. cyanopodus compared to other groupers, suggesting that E. cyanopodus has evolved broad adaptability in response to complex survival environment, which may provide the genetic basis for its rapid radiation. In brief, the high-quality reference genome of the speckled blue grouper provides a foundation for research on its biological traits and adaptive evolution and will be an important genetic tool to guide aquaculture and resolve its taxonomic controversies in future studies.
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Affiliation(s)
- Xiaoying Cao
- State Key Laboratory of Marine Environment Science, College of Ocean and Earth Sciences, Xiamen University, Xiamen 361000, China
| | - Jiajun Zhang
- State Key Laboratory of Marine Environment Science, College of Ocean and Earth Sciences, Xiamen University, Xiamen 361000, China
| | - Shunyun Deng
- State Key Laboratory of Marine Environment Science, College of Ocean and Earth Sciences, Xiamen University, Xiamen 361000, China
| | - Shaoxiong Ding
- State Key Laboratory of Marine Environment Science, College of Ocean and Earth Sciences, Xiamen University, Xiamen 361000, China
- Function Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266000, China
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37
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Pankow A, Sun XH. The divergence between T cell and innate lymphoid cell fates controlled by E and Id proteins. Front Immunol 2022; 13:960444. [PMID: 36032069 PMCID: PMC9399370 DOI: 10.3389/fimmu.2022.960444] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Accepted: 07/13/2022] [Indexed: 11/18/2022] Open
Abstract
T cells develop in the thymus from lymphoid primed multipotent progenitors or common lymphoid progenitors into αβ and γδ subsets. The basic helix-loop-helix transcription factors, E proteins, play pivotal roles at multiple stages from T cell commitment to maturation. Inhibitors of E proteins, Id2 and Id3, also regulate T cell development while promoting ILC differentiation. Recent findings suggest that the thymus can also produce innate lymphoid cells (ILCs). In this review, we present current findings that suggest the balance between E and Id proteins is likely to be critical for controlling the bifurcation of T cell and ILC fates at early stages of T cell development.
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Affiliation(s)
- Aneta Pankow
- Program in Arthritis and Clinical Immunology, Oklahoma Medical Research Foundation, Oklahoma City, OK, United States
- Department of Microbiology and Immunology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Xiao-Hong Sun
- Program in Arthritis and Clinical Immunology, Oklahoma Medical Research Foundation, Oklahoma City, OK, United States
- Department of Microbiology and Immunology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
- Department of Cell Biology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
- *Correspondence: Xiao-Hong Sun,
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Roels J, Van Hulle J, Lavaert M, Kuchmiy A, Strubbe S, Putteman T, Vandekerckhove B, Leclercq G, Van Nieuwerburgh F, Boehme L, Taghon T. Transcriptional dynamics and epigenetic regulation of E and ID protein encoding genes during human T cell development. Front Immunol 2022; 13:960918. [PMID: 35967340 PMCID: PMC9366357 DOI: 10.3389/fimmu.2022.960918] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Accepted: 07/05/2022] [Indexed: 12/05/2022] Open
Abstract
T cells are generated from hematopoietic stem cells through a highly organized developmental process, in which stage-specific molecular events drive maturation towards αβ and γδ T cells. Although many of the mechanisms that control αβ- and γδ-lineage differentiation are shared between human and mouse, important differences have also been observed. Here, we studied the regulatory dynamics of the E and ID protein encoding genes during pediatric human T cell development by evaluating changes in chromatin accessibility, histone modifications and bulk and single cell gene expression. We profiled patterns of ID/E protein activity and identified up- and downstream regulators and targets, respectively. In addition, we compared transcription of E and ID protein encoding genes in human versus mouse to predict both shared and unique activities in these species, and in prenatal versus pediatric human T cell differentiation to identify regulatory changes during development. This analysis showed a putative involvement of TCF3/E2A in the development of γδ T cells. In contrast, in αβ T cell precursors a pivotal pre-TCR-driven population with high ID gene expression and low predicted E protein activity was identified. Finally, in prenatal but not postnatal thymocytes, high HEB/TCF12 levels were found to counteract high ID levels to sustain thymic development. In summary, we uncovered novel insights in the regulation of E and ID proteins on a cross-species and cross-developmental level.
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MESH Headings
- Animals
- Cell Differentiation/genetics
- Child
- Epigenesis, Genetic
- Hematopoietic Stem Cells/metabolism
- Humans
- Mice
- Receptors, Antigen, T-Cell, alpha-beta/genetics
- Receptors, Antigen, T-Cell, alpha-beta/metabolism
- Receptors, Antigen, T-Cell, gamma-delta/genetics
- Receptors, Antigen, T-Cell, gamma-delta/metabolism
- Transcription Factors/metabolism
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Affiliation(s)
- Juliette Roels
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
- Department of Biomolecular Medicine, Ghent University, Ghent, Belgium
- Cancer Research Institute Ghent (CRIG), Ghent, Belgium
| | - Jolien Van Hulle
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
| | - Marieke Lavaert
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
| | - Anna Kuchmiy
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
- Cancer Research Institute Ghent (CRIG), Ghent, Belgium
| | - Steven Strubbe
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
| | - Tom Putteman
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
| | - Bart Vandekerckhove
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
- Cancer Research Institute Ghent (CRIG), Ghent, Belgium
| | - Georges Leclercq
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
- Cancer Research Institute Ghent (CRIG), Ghent, Belgium
| | - Filip Van Nieuwerburgh
- Cancer Research Institute Ghent (CRIG), Ghent, Belgium
- Laboratory of Pharmaceutical Biotechnology, Ghent University, Ghent, Belgium
| | - Lena Boehme
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
- *Correspondence: Lena Boehme, ; Tom Taghon,
| | - Tom Taghon
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
- Cancer Research Institute Ghent (CRIG), Ghent, Belgium
- *Correspondence: Lena Boehme, ; Tom Taghon,
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Aubrey M, Warburg ZJ, Murre C. Helix-Loop-Helix Proteins in Adaptive Immune Development. Front Immunol 2022; 13:881656. [PMID: 35634342 PMCID: PMC9134016 DOI: 10.3389/fimmu.2022.881656] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Accepted: 04/04/2022] [Indexed: 11/13/2022] Open
Abstract
The E/ID protein axis is instrumental for defining the developmental progression and functions of hematopoietic cells. The E proteins are dimeric transcription factors that activate gene expression programs and coordinate changes in chromatin organization. Id proteins are antagonists of E protein activity. Relative levels of E/Id proteins are modulated throughout hematopoietic development to enable the progression of hematopoietic stem cells into multiple adaptive and innate immune lineages including natural killer cells, B cells and T cells. In early progenitors, the E proteins promote commitment to the T and B cell lineages by orchestrating lineage specific programs of gene expression and regulating VDJ recombination of antigen receptor loci. In mature B cells, the E/Id protein axis functions to promote class switch recombination and somatic hypermutation. E protein activity further regulates differentiation into distinct CD4+ and CD8+ T cells subsets and instructs mature T cell immune responses. In this review, we discuss how the E/Id proteins define the adaptive immune system lineages, focusing on their role in directing developmental gene programs.
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Affiliation(s)
- Megan Aubrey
- Division of Biological Sciences, Section of Molecular Biology, University of California, San Diego, San Diego, CA, United States
| | - Zachary J Warburg
- Division of Biological Sciences, Section of Molecular Biology, University of California, San Diego, San Diego, CA, United States
| | - Cornelis Murre
- Division of Biological Sciences, Section of Molecular Biology, University of California, San Diego, San Diego, CA, United States
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40
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Hidaka R, Miyazaki K, Miyazaki M. The E-Id Axis Instructs Adaptive Versus Innate Lineage Cell Fate Choice and Instructs Regulatory T Cell Differentiation. Front Immunol 2022; 13:890056. [PMID: 35603170 PMCID: PMC9120639 DOI: 10.3389/fimmu.2022.890056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2022] [Accepted: 04/12/2022] [Indexed: 11/13/2022] Open
Abstract
Immune responses are primarily mediated by adaptive and innate immune cells. Adaptive immune cells, such as T and B cells, evoke antigen-specific responses through the recognition of specific antigens. This antigen-specific recognition relies on the V(D)J recombination of immunoglobulin (Ig) and T cell receptor (TCR) genes mediated by recombination-activating gene (Rag)1 and Rag2 (Rag1/2). In addition, T and B cells employ cell type-specific developmental pathways during their activation processes, and the regulation of these processes is strictly regulated by the transcription factor network. Among these factors, members of the basic helix-loop-helix (bHLH) transcription factor mammalian E protein family, including E12, E47, E2-2, and HEB, orchestrate multiple adaptive immune cell development, while their antagonists, Id proteins (Id1-4), function as negative regulators. It is well established that a majority of T and B cell developmental trajectories are regulated by the transcriptional balance between E and Id proteins (the E-Id axis). E2A is critically required not only for B cell but also for T cell lineage commitment, whereas Id2 and Id3 enforce the maintenance of naïve T cells and naïve regulatory T (Treg) cells. Here, we review the current knowledge of E- and Id-protein function in T cell lineage commitment and Treg cell differentiation.
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41
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Gamma/Delta (γδ) T Cells: The Role of the T-Cell Receptor in Diagnosis and Prognosis of Hematologic Malignancies. Am J Dermatopathol 2022; 44:237-248. [PMID: 35287137 DOI: 10.1097/dad.0000000000002041] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
ABSTRACT There are 2 types of T cells: αβ and γδ T cells, named based on the composition of the T-cell receptor. γδ T cells are rare, making up 0.5%-10% of T cells. Although most leukemias, lymphomas, and immune-mediated conditions derive from αβ T cells, a handful of rare but important diseases are generally derived from γδ T cells, particularly primary cutaneous γδ T-cell lymphoma, hepatosplenic T-cell lymphoma, and monomorphic epitheliotropic intestinal T-cell lymphoma. There are also malignancies that may evince a γδ TCR phenotype, including large granulocytic lymphocyte leukemia, T-cell acute lymphobplastic leukemia (T-ALL), and mycosis fungoides, although such cases are rare. In this article, we will review the genesis of the T-cell receptor, the role of γδ T cells, and the importance of TCR type and methods of detection and outline the evidence for prognostic significance (or lack thereof) in lymphomas of γδ T cells. We will also highlight conditions that rarely may present with a γδ TCR phenotype and assess the utility of testing for TCR type in these diseases.
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42
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A high-throughput real-time PCR tissue-of-origin test to distinguish blood from lymphoblastoid cell line DNA for (epi)genomic studies. Sci Rep 2022; 12:4684. [PMID: 35304543 PMCID: PMC8933453 DOI: 10.1038/s41598-022-08663-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Accepted: 03/09/2022] [Indexed: 12/13/2022] Open
Abstract
Lymphoblastoid cell lines (LCLs) derive from blood infected in vitro by Epstein–Barr virus and were used in several genetic, transcriptomic and epigenomic studies. Although few changes were shown between LCL and blood genotypes (SNPs) validating their use in genetics, more were highlighted for other genomic features and/or in their transcriptome and epigenome. This could render them less appropriate for these studies, notably when blood DNA could still be available. Here we developed a simple, high-throughput and cost-effective real-time PCR approach allowing to distinguish blood from LCL DNA samples based on the presence of EBV relative load and rearranged T-cell receptors γ and β. Our approach was able to achieve 98.5% sensitivity and 100% specificity on DNA of known origin (458 blood and 316 LCL DNA). It was further applied to 1957 DNA samples from the CEPH Aging cohort comprising DNA of uncertain origin, identifying 784 blood and 1016 LCL DNA. A subset of these DNA was further analyzed with an epigenetic clock indicating that DNA extracted from blood should be preferred to LCL for DNA methylation-based age prediction analysis. Our approach could thereby be a powerful tool to ascertain the origin of DNA in old collections prior to (epi)genomic studies.
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43
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Suliman S, Kjer-Nielsen L, Iwany SK, Lopez Tamara K, Loh L, Grzelak L, Kedzierska K, Ocampo TA, Corbett AJ, McCluskey J, Rossjohn J, León SR, Calderon R, Lecca-Garcia L, Murray MB, Moody DB, Van Rhijn I. Dual TCR-α Expression on Mucosal-Associated Invariant T Cells as a Potential Confounder of TCR Interpretation. JOURNAL OF IMMUNOLOGY (BALTIMORE, MD. : 1950) 2022; 208:1389-1395. [PMID: 35246495 PMCID: PMC9359468 DOI: 10.4049/jimmunol.2100275] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Accepted: 01/12/2022] [Indexed: 05/20/2023]
Abstract
Mucosal-associated invariant T (MAIT) cells are innate-like T cells that are highly abundant in human blood and tissues. Most MAIT cells have an invariant TCRα-chain that uses T cell receptor α-variable 1-2 (TRAV1-2) joined to TRAJ33/20/12 and recognizes metabolites from bacterial riboflavin synthesis bound to the Ag-presenting molecule MHC class I related (MR1). Our attempts to identify alternative MR1-presented Ags led to the discovery of rare MR1-restricted T cells with non-TRAV1-2 TCRs. Because altered Ag specificity likely alters affinity for the most potent known Ag, 5-(2-oxopropylideneamino)-6-d-ribitylaminouracil (5-OP-RU), we performed bulk TCRα- and TCRβ-chain sequencing and single-cell-based paired TCR sequencing on T cells that bound the MR1-5-OP-RU tetramer with differing intensities. Bulk sequencing showed that use of V genes other than TRAV1-2 was enriched among MR1-5-OP-RU tetramerlow cells. Although we initially interpreted these as diverse MR1-restricted TCRs, single-cell TCR sequencing revealed that cells expressing atypical TCRα-chains also coexpressed an invariant MAIT TCRα-chain. Transfection of each non-TRAV1-2 TCRα-chain with the TCRβ-chain from the same cell demonstrated that the non-TRAV1-2 TCR did not bind the MR1-5-OP-RU tetramer. Thus, dual TCRα-chain expression in human T cells and competition for the endogenous β-chain explains the existence of some MR1-5-OP-RU tetramerlow T cells. The discovery of simultaneous expression of canonical and noncanonical TCRs on the same T cell means that claims of roles for non-TRAV1-2 TCR in MR1 response must be validated by TCR transfer-based confirmation of Ag specificity.
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Affiliation(s)
- Sara Suliman
- Division of Rheumatology, Inflammation and Immunity, Brigham and Women's Hospital, Harvard Medical School, Boston, MA;
- Division of Experimental Medicine, Department of Medicine, Zuckerberg San Francisco General Hospital, University of California, San Francisco, San Francisco, CA
| | - Lars Kjer-Nielsen
- Department of Microbiology and Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
| | - Sarah K Iwany
- Division of Rheumatology, Inflammation and Immunity, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Kattya Lopez Tamara
- Division of Rheumatology, Inflammation and Immunity, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
- Socios en Salud Sucursal Perú, Lima, Peru
| | - Liyen Loh
- Department of Microbiology and Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
- Department of Immunology and Microbiology, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Ludivine Grzelak
- Department of Microbiology and Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
| | - Katherine Kedzierska
- Department of Microbiology and Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
| | - Tonatiuh A Ocampo
- Division of Rheumatology, Inflammation and Immunity, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Alexandra J Corbett
- Department of Microbiology and Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
| | - James McCluskey
- Department of Microbiology and Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
| | - Jamie Rossjohn
- Infection and Immunity Program, Biomedicine Discovery Institute, Monash University, Clayton, Victoria, Australia
- Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Clayton, Victoria, Australia
- Australian Research Council Centre of Excellence in Advanced Molecular Imaging, Monash University, Clayton, Victoria, Australia
- Institute of Infection and Immunity, Cardiff University School of Medicine, Cardiff, UK
| | | | | | | | - Megan B Murray
- Department of Global Health and Social Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
- Division of Global Health Equity, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; and
| | - D Branch Moody
- Division of Rheumatology, Inflammation and Immunity, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Ildiko Van Rhijn
- Division of Rheumatology, Inflammation and Immunity, Brigham and Women's Hospital, Harvard Medical School, Boston, MA;
- Department of Infectious Diseases and Immunology, Faculty of Veterinary Medicine, Utrecht University, Utrecht, the Netherlands
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44
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Tseng CY, Wang WX, Douglas TR, Chou LYT. Engineering DNA Nanostructures to Manipulate Immune Receptor Signaling and Immune Cell Fates. Adv Healthc Mater 2022; 11:e2101844. [PMID: 34716686 DOI: 10.1002/adhm.202101844] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Revised: 10/14/2021] [Indexed: 12/19/2022]
Abstract
Immune cells sense, communicate, and logically integrate a multitude of environmental signals to make important cell-fate decisions and fulfill their effector functions. These processes are initiated and regulated by a diverse array of immune receptors and via their dynamic spatiotemporal organization upon ligand binding. Given the widespread relevance of the immune system to health and disease, there have been significant efforts toward understanding the biophysical principles governing immune receptor signaling and activation, as well as the development of biomaterials which exploit these principles for therapeutic immune engineering. Here, how advances in the field of DNA nanotechnology constitute a growing toolbox for further pursuit of these endeavors is discussed. Key cellular players involved in the induction of immunity against pathogens or diseased cells are first summarized. How the ability to design DNA nanostructures with custom shapes, dynamics, and with site-specific incorporation of diverse guests can be leveraged to manipulate the signaling pathways that regulate these processes is then presented. It is followed by highlighting emerging applications of DNA nanotechnology at the crossroads of immune engineering, such as in vitro reconstitution platforms, vaccines, and adjuvant delivery systems. Finally, outstanding questions that remain for further advancing immune-modulatory DNA nanodevices are outlined.
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Affiliation(s)
- Chung Yi Tseng
- Institute of Biomedical Engineering University of Toronto Toronto Ontario M5S 3G9 Canada
| | - Wendy Xueyi Wang
- Institute of Biomedical Engineering University of Toronto Toronto Ontario M5S 3G9 Canada
| | - Travis Robert Douglas
- Institute of Biomedical Engineering University of Toronto Toronto Ontario M5S 3G9 Canada
| | - Leo Y. T. Chou
- Institute of Biomedical Engineering University of Toronto Toronto Ontario M5S 3G9 Canada
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Elias G, Meysman P, Bartholomeus E, De Neuter N, Keersmaekers N, Suls A, Jansens H, Souquette A, De Reu H, Emonds MP, Smits E, Lion E, Thomas PG, Mortier G, Van Damme P, Beutels P, Laukens K, Van Tendeloo V, Ogunjimi B. Preexisting memory CD4 T cells in naïve individuals confer robust immunity upon hepatitis B vaccination. eLife 2022; 11:68388. [PMID: 35074048 PMCID: PMC8824481 DOI: 10.7554/elife.68388] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2021] [Accepted: 01/07/2022] [Indexed: 11/22/2022] Open
Abstract
Antigen recognition through the T cell receptor (TCR) αβ heterodimer is one of the primary determinants of the adaptive immune response. Vaccines activate naïve T cells with high specificity to expand and differentiate into memory T cells. However, antigen-specific memory CD4 T cells exist in unexposed antigen-naïve hosts. In this study, we use high-throughput sequencing of memory CD4 TCRβ repertoire and machine learning to show that individuals with preexisting vaccine-reactive memory CD4 T cell clonotypes elicited earlier and higher antibody titers and mounted a more robust CD4 T cell response to hepatitis B vaccine. In addition, integration of TCRβ sequence patterns into a hepatitis B epitope-specific annotation model can predict which individuals will have an early and more vigorous vaccine-elicited immunity. Thus, the presence of preexisting memory T cell clonotypes has a significant impact on immunity and can be used to predict immune responses to vaccination. Immune cells called CD4 T cells help the body build immunity to infections caused by bacteria and viruses, or after vaccination. Receptor proteins on the outside of the cells recognize pathogens, foreign molecules called antigens, or vaccine antigens. Vaccine antigens are usually inactivated bacteria or viruses, or fragments of these pathogens. After recognizing an antigen, CD4 T cells develop into memory CD4 T cells ready to defend against future infections with the pathogen. People who have never been exposed to a pathogen, or have never been vaccinated against it, may nevertheless have preexisting memory cells ready to defend against it. This happens because CD4 T cells can recognize multiple targets, which enables the immune system to be ready to defend against both new and familiar pathogens. Elias, Meysman, Bartholomeus et al. wanted to find out whether having preexisting memory CD4 T cells confers an advantage for vaccine-induced immunity. Thirty-four people who were never exposed to hepatitis B or vaccinated against it participated in the study. These individuals provided blood samples before vaccination, with 2 doses of the hepatitis B vaccine, and at 3 time points afterward. Using next generation immune sequencing and machine learning techniques, Elias et al. analyzed the individuals’ memory CD4 T cells before and after vaccination. The experiments showed that preexisting memory CD4 T cells may determine vaccination outcomes, and people with more preexisting memory cells develop quicker and stronger immunity after vaccination against hepatitis B. This information may help scientists to better understand how people develop immunity to pathogens. It may guide them develop better vaccines or predict who will develop immunity after vaccination.
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Affiliation(s)
- George Elias
- Laboratory of Experimental Hematology (LEH), University of Antwerp
| | - Pieter Meysman
- Biomedical Informatics Research Network Antwerp, Department of Mathematics and Informatics, University of Antwerp
| | | | - Nicolas De Neuter
- Antwerp Unit for Data Analysis and Computation in Immunology and Sequencing, University of Antwerp
| | - Nina Keersmaekers
- Centre for Health Economics Research & Modeling Infectious Diseases, University of Antwerp
| | - Arvid Suls
- Antwerp Unit for Data Analysis and Computation in Immunology and Sequencing, University of Antwerp
| | - Hilde Jansens
- Department of Clinical Microbiology, Antwerp University Hospital
| | - Aisha Souquette
- Department of Immunology, St. Jude Children's Research Hospital
| | - Hans De Reu
- Laboratory of Experimental Hematology, University of Antwerp
| | | | - Evelien Smits
- Laboratory of Experimental Hematology, University of Antwerp
| | - Eva Lion
- Laboratory of Experimental Hematology, University of Antwerp
| | - Paul G Thomas
- Department of Immunology, St. Jude Children's Research Hospital
| | - Geert Mortier
- Antwerp Unit for Data Analysis and Computation in Immunology and Sequencing, University of Antwerp
| | - Pierre Van Damme
- Antwerp Unit for Data Analysis and Computation in Immunology and Sequencing, University of Antwerp
| | - Philippe Beutels
- Antwerp Unit for Data Analysis and Computation in Immunology and Sequencing, University of Antwerp
| | - Kris Laukens
- Antwerp Unit for Data Analysis and Computation in Immunology and Sequencing, University of Antwerp
| | - Viggo Van Tendeloo
- Janssen Research and Development, Immunosciences WWDA, Johnson and Johnson
| | - Benson Ogunjimi
- Antwerp Unit for Data Analysis and Computation in Immunology and Sequencing, University of Antwerp
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46
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Tian G, Li M, Lv G. Analysis of T-Cell Receptor Repertoire in Transplantation: Fingerprint of T Cell-mediated Alloresponse. Front Immunol 2022; 12:778559. [PMID: 35095851 PMCID: PMC8790170 DOI: 10.3389/fimmu.2021.778559] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Accepted: 12/22/2021] [Indexed: 11/13/2022] Open
Abstract
T cells play a key role in determining allograft function by mediating allogeneic immune responses to cause rejection, and recent work pointed their role in mediating tolerance in transplantation. The unique T-cell receptor (TCR) expressed on the surface of each T cell determines the antigen specificity of the cell and can be the specific fingerprint for identifying and monitoring. Next-generation sequencing (NGS) techniques provide powerful tools for deep and high-throughput TCR profiling, and facilitate to depict the entire T cell repertoire profile and trace antigen-specific T cells in circulation and local tissues. Tailing T cell transcriptomes and TCR sequences at the single cell level provides a full landscape of alloreactive T-cell clones development and biofunction in alloresponse. Here, we review the recent advances in TCR sequencing techniques and computational tools, as well as the recent discovery in overall TCR profile and antigen-specific T cells tracking in transplantation. We further discuss the challenges and potential of using TCR sequencing-based assays to profile alloreactive TCR repertoire as the fingerprint for immune monitoring and prediction of rejection and tolerance.
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Affiliation(s)
| | - Mingqian Li
- Department of Hepatobiliary and Pancreatic Surgery, The First Hospital of Jilin University, Changchun, China
| | - Guoyue Lv
- Department of Hepatobiliary and Pancreatic Surgery, The First Hospital of Jilin University, Changchun, China
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47
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ILC Differentiation in the Thymus. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2022; 1365:25-39. [DOI: 10.1007/978-981-16-8387-9_3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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48
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Radtanakatikanon A, Moore PF, Keller SM, Vernau W. Novel clonality assays for T cell lymphoma in cats targeting the T cell receptor beta, T cell receptor delta, and T cell receptor gamma loci. J Vet Intern Med 2021; 35:2865-2875. [PMID: 34929760 PMCID: PMC8692208 DOI: 10.1111/jvim.16288] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Revised: 10/11/2021] [Accepted: 10/13/2021] [Indexed: 01/17/2023] Open
Abstract
BACKGROUND T cell clonality assays in veterinary medicine currently target only the T cell receptor gamma (TRG) locus. Existing assays have suboptimal sensitivity because of insufficient primer coverage of all possible rearrangements. OBJECTIVE Develop higher sensitivity clonality assays targeting the TRG, delta (TRD), and beta (TRB) loci in cats. ANIMALS Cats with histopathologically confirmed lymphoma (n = 89), non-lymphoma (n = 35), and possible hepatic small cell lymphoma (n = 31). METHODS Molecular clonality assay development utilizing our recently reported topology and expressed repertoire data of the T cell receptor loci in cats. Determination of clonality status of lymphoma, non lymphoma, and possible hepatic small cell lymphoma samples, and calculation of assay sensitivity and specificity. RESULTS The new multiplex TRG assay yielded the highest sensitivity (95.5%). All assays yielded 100% specificity except for the new multiplex TRG assay (97.3%). The combination of the new TRG and TRB assays yielded sensitivity of 98.9% and specificity of 97.0%. The new TRG assay detected clonality in 17/31 possible small cell lymphoma livers, whereas an existing TRG assay detected clonality in 6/31 livers. CONCLUSIONS AND CLINICAL IMPORTANCE The assessment of multiple T cell loci compensates for the potential shortcomings of individual assays. Using a combination of molecular clonality assays will increase the overall sensitivity for the diagnosis of T-cell lymphoma in cats, especially intestinal, and hepatic small cell lymphoma. Hepatic small cell lymphomas detected by the new TRG assay utilized rarely expressed V and J genes not recognized by previous assays, likely indicating unique biology of hepatic small cell lymphoma in cats.
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Affiliation(s)
- Araya Radtanakatikanon
- Department of Pathology, Microbiology and ImmunologySchool of Veterinary Medicine, University of CaliforniaDavisCaliforniaUSA
- Department of Pathology, Faculty of Veterinary ScienceChulalongkorn UniversityBangkokThailand
| | - Peter F. Moore
- Department of Pathology, Microbiology and ImmunologySchool of Veterinary Medicine, University of CaliforniaDavisCaliforniaUSA
| | - Stefan M. Keller
- Department of Pathology, Microbiology and ImmunologySchool of Veterinary Medicine, University of CaliforniaDavisCaliforniaUSA
| | - William Vernau
- Department of Pathology, Microbiology and ImmunologySchool of Veterinary Medicine, University of CaliforniaDavisCaliforniaUSA
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49
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Modeling of human T cell development in vitro as a read-out for hematopoietic stem cell multipotency. Biochem Soc Trans 2021; 49:2113-2122. [PMID: 34643218 PMCID: PMC8589437 DOI: 10.1042/bst20210144] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Revised: 09/22/2021] [Accepted: 09/27/2021] [Indexed: 12/24/2022]
Abstract
Hematopoietic stem cells (HSCs) reside in distinct sites throughout fetal and adult life and give rise to all cells of the hematopoietic system. Because of their multipotency, HSCs are capable of curing a wide variety of blood disorders through hematopoietic stem cell transplantation (HSCT). However, due to HSC heterogeneity, site-specific ontogeny and current limitations in generating and expanding HSCs in vitro, their broad use in clinical practice remains challenging. To assess HSC multipotency, evaluation of their capacity to generate T lymphocytes has been regarded as a valid read-out. Several in vitro models of T cell development have been established which are able to induce T-lineage differentiation from different hematopoietic precursors, although with variable efficiency. Here, we review the potential of human HSCs from various sources to generate T-lineage cells using these different models in order to address the use of both HSCs and T cell precursors in the clinic.
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50
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Perez H, Abdallah MF, Chavira JI, Norris AS, Egeland MT, Vo KL, Buechsenschuetz CL, Sanghez V, Kim JL, Pind M, Nakamura K, Hicks GG, Gatti RA, Madrenas J, Iacovino M, McKinnon PJ, Mathews PJ. A novel, ataxic mouse model of ataxia telangiectasia caused by a clinically relevant nonsense mutation. eLife 2021; 10:e64695. [PMID: 34723800 PMCID: PMC8601662 DOI: 10.7554/elife.64695] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2020] [Accepted: 10/29/2021] [Indexed: 12/14/2022] Open
Abstract
Ataxia Telangiectasia (A-T) and Ataxia with Ocular Apraxia Type 1 (AOA1) are devastating neurological disorders caused by null mutations in the genome stability genes, A-T mutated (ATM) and Aprataxin (APTX), respectively. Our mechanistic understanding and therapeutic repertoire for treating these disorders are severely lacking, in large part due to the failure of prior animal models with similar null mutations to recapitulate the characteristic loss of motor coordination (i.e., ataxia) and associated cerebellar defects. By increasing genotoxic stress through the insertion of null mutations in both the Atm (nonsense) and Aptx (knockout) genes in the same animal, we have generated a novel mouse model that for the first time develops a progressively severe ataxic phenotype associated with atrophy of the cerebellar molecular layer. We find biophysical properties of cerebellar Purkinje neurons (PNs) are significantly perturbed (e.g., reduced membrane capacitance, lower action potential [AP] thresholds, etc.), while properties of synaptic inputs remain largely unchanged. These perturbations significantly alter PN neural activity, including a progressive reduction in spontaneous AP firing frequency that correlates with both cerebellar atrophy and ataxia over the animal's first year of life. Double mutant mice also exhibit a high predisposition to developing cancer (thymomas) and immune abnormalities (impaired early thymocyte development and T-cell maturation), symptoms characteristic of A-T. Finally, by inserting a clinically relevant nonsense-type null mutation in Atm, we demonstrate that Small Molecule Read-Through (SMRT) compounds can restore ATM production, indicating their potential as a future A-T therapeutic.
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Affiliation(s)
- Harvey Perez
- The Lundquist Institute for Biomedical Innovation, Harbor-UCLA Medical CenterTorranceUnited States
| | - May F Abdallah
- The Lundquist Institute for Biomedical Innovation, Harbor-UCLA Medical CenterTorranceUnited States
| | - Jose I Chavira
- The Lundquist Institute for Biomedical Innovation, Harbor-UCLA Medical CenterTorranceUnited States
| | - Angelina S Norris
- The Lundquist Institute for Biomedical Innovation, Harbor-UCLA Medical CenterTorranceUnited States
| | - Martin T Egeland
- The Lundquist Institute for Biomedical Innovation, Harbor-UCLA Medical CenterTorranceUnited States
| | - Karen L Vo
- The Lundquist Institute for Biomedical Innovation, Harbor-UCLA Medical CenterTorranceUnited States
| | - Callan L Buechsenschuetz
- The Lundquist Institute for Biomedical Innovation, Harbor-UCLA Medical CenterTorranceUnited States
| | - Valentina Sanghez
- The Lundquist Institute for Biomedical Innovation, Harbor-UCLA Medical CenterTorranceUnited States
| | - Jeannie L Kim
- The Lundquist Institute for Biomedical Innovation, Harbor-UCLA Medical CenterTorranceUnited States
| | - Molly Pind
- Department of Biochemistry and Medical Genetics,Max Rady College of Medicine, University of ManitobaManitobaCanada
| | - Kotoka Nakamura
- Department of Pathology & Laboratory Medicine, David Geffen School of MedicineLos AngelesUnited States
| | - Geoffrey G Hicks
- Department of Biochemistry and Medical Genetics,Max Rady College of Medicine, University of ManitobaManitobaCanada
| | - Richard A Gatti
- Department of Pathology & Laboratory Medicine, David Geffen School of MedicineLos AngelesUnited States
| | - Joaquin Madrenas
- The Lundquist Institute for Biomedical Innovation, Harbor-UCLA Medical CenterTorranceUnited States
- Department of Medicine, Harbor-UCLA Medical CenterTorranceUnited States
| | - Michelina Iacovino
- The Lundquist Institute for Biomedical Innovation, Harbor-UCLA Medical CenterTorranceUnited States
- Department of Pediatrics, Harbor-UCLA Medical CenterTorranceUnited States
| | - Peter J McKinnon
- Center for Pediatric Neurological Disease Research, St. Jude Pediatric Translational Neuroscience Initiative, St. Jude Children’s Research HospitalMemphisUnited States
| | - Paul J Mathews
- The Lundquist Institute for Biomedical Innovation, Harbor-UCLA Medical CenterTorranceUnited States
- Department of Neurology, Harbor-UCLA Medical CenterTorranceUnited States
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