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Lasica C, de Carvalho Augusto R, Moné H, Mouahid G, Chaparro C, Veillard AC, Zelisko-Schmidt A, Grunau C. Automated ChIPmentation procedure on limited biological material of the human blood fluke Schistosoma mansoni. Wellcome Open Res 2024; 7:133. [PMID: 37521535 PMCID: PMC10372461 DOI: 10.12688/wellcomeopenres.17779.1] [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] [Accepted: 02/09/2024] [Indexed: 08/01/2023] Open
Abstract
In living cells, the genetic information stored in the DNA sequence is always associated with chromosomal and extra-chromosomal epigenetic information. Chromatin is formed by the DNA and associated proteins, in particular histones. Covalent histone modifications are important bearers of epigenetic information and as such have been increasingly studied since about the year 2000. One of the principal techniques to gather information about the association between DNA and modified histones is chromatin immunoprecipitation (ChIP), also combined with massive sequencing (ChIP-Seq). Automated ChIPmentation procedure is a convenient alternative to native chromatin immunoprecipitation (N-ChIP). It is now routinely used for ChIP-Seq in many model species, using in general roughly 10 6 cells per experiment. Such high cell numbers are sometimes difficult to produce. Using the human parasite Schistosoma mansoni, whose production requires sacrificing animals and should therefore be kept to a minimum, we show here that automated ChIPmentation is suitable for limited biological material. We define the operational limit as ≥20,000 Schistosoma cells with 30,000-300,000 cells as optimum. We also present a streamlined protocol for the preparation of ChIP input libraries.
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Affiliation(s)
- Chrystelle Lasica
- IHPE, Univ Perpignan Via Domitia, CNRS, IFREMER, Univ Montpellier, Perpignan, 66860, France
| | - Ronaldo de Carvalho Augusto
- IHPE, Univ Perpignan Via Domitia, CNRS, IFREMER, Univ Montpellier, Perpignan, 66860, France
- LBMC, Laboratoire de Biologie et Modélisation de la Cellule Univ Lyon, ENS de Lyon, Université Claude Bernard Lyon 1, CNRS, UMR 5239, INSERM, U1210,, Lyon, 69000, France
| | - Hélène Moné
- IHPE, Univ Perpignan Via Domitia, CNRS, IFREMER, Univ Montpellier, Perpignan, 66860, France
| | - Gabriel Mouahid
- IHPE, Univ Perpignan Via Domitia, CNRS, IFREMER, Univ Montpellier, Perpignan, 66860, France
| | - Cristian Chaparro
- IHPE, Univ Perpignan Via Domitia, CNRS, IFREMER, Univ Montpellier, Perpignan, 66860, France
| | | | | | - Christoph Grunau
- IHPE, Univ Perpignan Via Domitia, CNRS, IFREMER, Univ Montpellier, Perpignan, 66860, France
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2
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Papadakos SP, Arvanitakis K, Stergiou IE, Koutsompina ML, Germanidis G, Theocharis S. γδ T Cells: A Game Changer in the Future of Hepatocellular Carcinoma Immunotherapy. Int J Mol Sci 2024; 25:1381. [PMID: 38338658 PMCID: PMC10855397 DOI: 10.3390/ijms25031381] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Revised: 01/18/2024] [Accepted: 01/19/2024] [Indexed: 02/12/2024] Open
Abstract
Hepatocellular carcinoma (HCC) remains a global health challenge with limited treatment options and a poor prognosis for advanced-stage patients. Recent advancements in cancer immunotherapy have generated significant interest in exploring novel approaches to combat HCC. One such approach involves the unique and versatile subset of T cells known as γδ T cells. γδ T cells represent a distinct subset of T lymphocytes that differ from conventional αβ T cells in terms of antigen recognition and effector functions. They play a crucial role in immunosurveillance against various malignancies, including HCC. Recent studies have demonstrated that γδ T cells can directly recognize and target HCC cells, making them an attractive candidate for immunotherapy. In this article, we aimed to explore the role exerted by γδ T cells in the context of HCC. We investigate strategies designed to maximize the therapeutic effectiveness of these cells and examine the challenges and opportunities inherent in applying these research findings to clinical practice. The potential to bring about a revolutionary shift in HCC immunotherapy by capitalizing on the unique attributes of γδ T cells offers considerable promise for enhancing patient outcomes, warranting further investigation.
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Affiliation(s)
- Stavros P. Papadakos
- First Department of Pathology, School of Medicine, National and Kapodistrian University of Athens, 11527 Athens, Greece;
| | - Konstantinos Arvanitakis
- First Department of Internal Medicine, AHEPA University Hospital, Aristotle University of Thessaloniki, 54636 Thessaloniki, Greece;
- Basic and Translational Research Unit (BTRU), Special Unit for Biomedical Research and Education (BRESU), Faculty of Health Sciences, School of Medicine, Aristotle University of Thessaloniki, 54636 Thessaloniki, Greece
| | - Ioanna E. Stergiou
- Department of Pathophysiology, School of Medicine, National and Kapodistrian University of Athens, 11527 Athens, Greece; (I.E.S.)
| | - Maria-Loukia Koutsompina
- Department of Pathophysiology, School of Medicine, National and Kapodistrian University of Athens, 11527 Athens, Greece; (I.E.S.)
| | - Georgios Germanidis
- First Department of Internal Medicine, AHEPA University Hospital, Aristotle University of Thessaloniki, 54636 Thessaloniki, Greece;
- Basic and Translational Research Unit (BTRU), Special Unit for Biomedical Research and Education (BRESU), Faculty of Health Sciences, School of Medicine, Aristotle University of Thessaloniki, 54636 Thessaloniki, Greece
| | - Stamatios Theocharis
- First Department of Pathology, School of Medicine, National and Kapodistrian University of Athens, 11527 Athens, Greece;
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3
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Hu Y, Hu Q, Li Y, Lu L, Xiang Z, Yin Z, Kabelitz D, Wu Y. γδ T cells: origin and fate, subsets, diseases and immunotherapy. Signal Transduct Target Ther 2023; 8:434. [PMID: 37989744 PMCID: PMC10663641 DOI: 10.1038/s41392-023-01653-8] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 09/07/2023] [Accepted: 09/12/2023] [Indexed: 11/23/2023] Open
Abstract
The intricacy of diseases, shaped by intrinsic processes like immune system exhaustion and hyperactivation, highlights the potential of immune renormalization as a promising strategy in disease treatment. In recent years, our primary focus has centered on γδ T cell-based immunotherapy, particularly pioneering the use of allogeneic Vδ2+ γδ T cells for treating late-stage solid tumors and tuberculosis patients. However, we recognize untapped potential and optimization opportunities to fully harness γδ T cell effector functions in immunotherapy. This review aims to thoroughly examine γδ T cell immunology and its role in diseases. Initially, we elucidate functional differences between γδ T cells and their αβ T cell counterparts. We also provide an overview of major milestones in γδ T cell research since their discovery in 1984. Furthermore, we delve into the intricate biological processes governing their origin, development, fate decisions, and T cell receptor (TCR) rearrangement within the thymus. By examining the mechanisms underlying the anti-tumor functions of distinct γδ T cell subtypes based on γδTCR structure or cytokine release, we emphasize the importance of accurate subtyping in understanding γδ T cell function. We also explore the microenvironment-dependent functions of γδ T cell subsets, particularly in infectious diseases, autoimmune conditions, hematological malignancies, and solid tumors. Finally, we propose future strategies for utilizing allogeneic γδ T cells in tumor immunotherapy. Through this comprehensive review, we aim to provide readers with a holistic understanding of the molecular fundamentals and translational research frontiers of γδ T cells, ultimately contributing to further advancements in harnessing the therapeutic potential of γδ T cells.
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Affiliation(s)
- Yi Hu
- Microbiology and Immunology Department, School of Medicine, Faculty of Medical Science, Jinan University, Guangzhou, Guangdong, 510632, China
| | - Qinglin Hu
- Microbiology and Immunology Department, School of Medicine, Faculty of Medical Science, Jinan University, Guangzhou, Guangdong, 510632, China
- Guangdong Provincial Key Laboratory of Tumour Interventional Diagnosis and Treatment, Zhuhai Institute of Translational Medicine, Zhuhai People's Hospital Affiliated with Jinan University, Jinan University, Zhuhai, Guangdong, 519000, China
| | - Yongsheng Li
- Department of Medical Oncology, Chongqing University Cancer Hospital, Chongqing, 400030, China
| | - Ligong Lu
- Guangdong Provincial Key Laboratory of Tumour Interventional Diagnosis and Treatment, Zhuhai Institute of Translational Medicine, Zhuhai People's Hospital Affiliated with Jinan University, Jinan University, Zhuhai, Guangdong, 519000, China
| | - Zheng Xiang
- Microbiology and Immunology Department, School of Medicine, Faculty of Medical Science, Jinan University, Guangzhou, Guangdong, 510632, China
| | - Zhinan Yin
- Biomedical Translational Research Institute, Jinan University, Guangzhou, Guangdong, 510632, China.
| | - Dieter Kabelitz
- Institute of Immunology, Christian-Albrechts-University Kiel, Kiel, Germany.
| | - Yangzhe Wu
- Guangdong Provincial Key Laboratory of Tumour Interventional Diagnosis and Treatment, Zhuhai Institute of Translational Medicine, Zhuhai People's Hospital Affiliated with Jinan University, Jinan University, Zhuhai, Guangdong, 519000, China.
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4
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Sun L, Su Y, Jiao A, Wang X, Zhang B. T cells in health and disease. Signal Transduct Target Ther 2023; 8:235. [PMID: 37332039 DOI: 10.1038/s41392-023-01471-y] [Citation(s) in RCA: 60] [Impact Index Per Article: 60.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Revised: 04/21/2023] [Accepted: 04/24/2023] [Indexed: 06/20/2023] Open
Abstract
T cells are crucial for immune functions to maintain health and prevent disease. T cell development occurs in a stepwise process in the thymus and mainly generates CD4+ and CD8+ T cell subsets. Upon antigen stimulation, naïve T cells differentiate into CD4+ helper and CD8+ cytotoxic effector and memory cells, mediating direct killing, diverse immune regulatory function, and long-term protection. In response to acute and chronic infections and tumors, T cells adopt distinct differentiation trajectories and develop into a range of heterogeneous populations with various phenotype, differentiation potential, and functionality under precise and elaborate regulations of transcriptional and epigenetic programs. Abnormal T-cell immunity can initiate and promote the pathogenesis of autoimmune diseases. In this review, we summarize the current understanding of T cell development, CD4+ and CD8+ T cell classification, and differentiation in physiological settings. We further elaborate the heterogeneity, differentiation, functionality, and regulation network of CD4+ and CD8+ T cells in infectious disease, chronic infection and tumor, and autoimmune disease, highlighting the exhausted CD8+ T cell differentiation trajectory, CD4+ T cell helper function, T cell contributions to immunotherapy and autoimmune pathogenesis. We also discuss the development and function of γδ T cells in tissue surveillance, infection, and tumor immunity. Finally, we summarized current T-cell-based immunotherapies in both cancer and autoimmune diseases, with an emphasis on their clinical applications. A better understanding of T cell immunity provides insight into developing novel prophylactic and therapeutic strategies in human diseases.
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Affiliation(s)
- Lina Sun
- Department of Pathogenic Microbiology and Immunology, School of Basic Medical Sciences, Xi'an Jiaotong University, Xi'an, Shaanxi, 710061, China
- Institute of Infection and Immunity, Translational Medicine Institute, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, 710061, China
- Key Laboratory of Environment and Genes Related to Diseases, Ministry of Education, Xi'an, Shaanxi, 710061, China
- Xi'an Key Laboratory of Immune Related Diseases, Xi'an, Shannxi, 710061, China
| | - Yanhong Su
- Department of Pathogenic Microbiology and Immunology, School of Basic Medical Sciences, Xi'an Jiaotong University, Xi'an, Shaanxi, 710061, China
- Institute of Infection and Immunity, Translational Medicine Institute, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, 710061, China
- Key Laboratory of Environment and Genes Related to Diseases, Ministry of Education, Xi'an, Shaanxi, 710061, China
- Xi'an Key Laboratory of Immune Related Diseases, Xi'an, Shannxi, 710061, China
| | - Anjun Jiao
- Department of Pathogenic Microbiology and Immunology, School of Basic Medical Sciences, Xi'an Jiaotong University, Xi'an, Shaanxi, 710061, China
- Institute of Infection and Immunity, Translational Medicine Institute, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, 710061, China
- Key Laboratory of Environment and Genes Related to Diseases, Ministry of Education, Xi'an, Shaanxi, 710061, China
- Xi'an Key Laboratory of Immune Related Diseases, Xi'an, Shannxi, 710061, China
| | - Xin Wang
- Department of Pathogenic Microbiology and Immunology, School of Basic Medical Sciences, Xi'an Jiaotong University, Xi'an, Shaanxi, 710061, China
- Institute of Infection and Immunity, Translational Medicine Institute, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, 710061, China
- Key Laboratory of Environment and Genes Related to Diseases, Ministry of Education, Xi'an, Shaanxi, 710061, China
- Xi'an Key Laboratory of Immune Related Diseases, Xi'an, Shannxi, 710061, China
| | - Baojun Zhang
- Department of Pathogenic Microbiology and Immunology, School of Basic Medical Sciences, Xi'an Jiaotong University, Xi'an, Shaanxi, 710061, China.
- Institute of Infection and Immunity, Translational Medicine Institute, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, 710061, China.
- Key Laboratory of Environment and Genes Related to Diseases, Ministry of Education, Xi'an, Shaanxi, 710061, China.
- Xi'an Key Laboratory of Immune Related Diseases, Xi'an, Shannxi, 710061, China.
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5
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Helm EY, Zelenka T, Cismasiu VB, Islam S, Silvane L, Zitti B, Holmes TD, Drashansky TT, Kwiatkowski AJ, Tao C, Dean J, Obermayer AN, Chen X, Keselowsky BG, Zhang W, Huo Z, Zhou L, Sheridan BS, Conejo-Garcia JR, Shaw TI, Bryceson YT, Avram D. Bcl11b sustains multipotency and restricts effector programs of intestinal-resident memory CD8 + T cells. Sci Immunol 2023; 8:eabn0484. [PMID: 37115913 DOI: 10.1126/sciimmunol.abn0484] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/30/2023]
Abstract
The networks of transcription factors (TFs) that control intestinal-resident memory CD8+ T (TRM) cells, including multipotency and effector programs, are poorly understood. In this work, we investigated the role of the TF Bcl11b in TRM cells during infection with Listeria monocytogenes using mice with post-activation, conditional deletion of Bcl11b in CD8+ T cells. Conditional deletion of Bcl11b resulted in increased numbers of intestinal TRM cells and their precursors as well as decreased splenic effector and circulating memory cells and precursors. Loss of circulating memory cells was in part due to increased intestinal homing of Bcl11b-/- circulating precursors, with no major alterations in their programs. Bcl11b-/- TRM cells had altered transcriptional programs, with diminished expression of multipotent/multifunctional (MP/MF) program genes, including Tcf7, and up-regulation of the effector program genes, including Prdm1. Bcl11b also limits the expression of Ahr, another TF with a role in intestinal CD8+ TRM cell differentiation. Deregulation of TRM programs translated into a poor recall response despite TRM cell accumulation in the intestine. Reduced expression of MP/MF program genes in Bcl11b-/- TRM cells was linked to decreased chromatin accessibility and a reduction in activating histone marks at these loci. In contrast, the effector program genes displayed increased activating epigenetic status. These findings demonstrate that Bcl11b is a frontrunner in the tissue residency program of intestinal memory cells upstream of Tcf1 and Blimp1, promoting multipotency and restricting the effector program.
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Affiliation(s)
- Eric Y Helm
- Department of Anatomy and Cell Biology, College of Medicine, University of Florida, Gainesville, FL 32610, USA
| | - Tomas Zelenka
- Department of Immunology, H. Lee Moffitt Cancer Center and Research Institute, 12902 Magnolia Dr., Tampa, FL 33612, USA
| | - Valeriu B Cismasiu
- Department of Immunology, H. Lee Moffitt Cancer Center and Research Institute, 12902 Magnolia Dr., Tampa, FL 33612, USA
| | - Shamima Islam
- Department of Immunology, H. Lee Moffitt Cancer Center and Research Institute, 12902 Magnolia Dr., Tampa, FL 33612, USA
| | - Leonardo Silvane
- Department of Immunology, H. Lee Moffitt Cancer Center and Research Institute, 12902 Magnolia Dr., Tampa, FL 33612, USA
| | - Beatrice Zitti
- Centre for Hematology and Regenerative Medicine, Department of Medicine, Karolinska Institutet, Karolinska University Hospital Huddinge, S-14186 Stockholm, Sweden
| | - Tim D Holmes
- Broegelmann Research Laboratory, Department of Clinical Sciences, University of Bergen, N-5021 Bergen, Norway
| | - Theodore T Drashansky
- Department of Anatomy and Cell Biology, College of Medicine, University of Florida, Gainesville, FL 32610, USA
| | - Alexander J Kwiatkowski
- J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL 32611, USA
| | - Christine Tao
- Department of Anatomy and Cell Biology, College of Medicine, University of Florida, Gainesville, FL 32610, USA
| | - Joseph Dean
- Department of Infectious Diseases and Immunology, College of Veterinary Medicine, University of Florida, Gainesville, FL 32608, USA
| | - Alyssa N Obermayer
- Department of Biostatistics and Bioinformatics, H. Lee Moffitt Cancer Center and Research Institute, 12902 Magnolia Dr., Tampa, FL 33612, USA
| | - Xianghong Chen
- Department of Immunology, H. Lee Moffitt Cancer Center and Research Institute, 12902 Magnolia Dr., Tampa, FL 33612, USA
| | - Benjamin G Keselowsky
- J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL 32611, USA
| | - Weizhou Zhang
- Department of Pathology, Immunology and Laboratory Medicine, College of Medicine, University of Florida, Gainesville, FL 32610, USA
- UF Health Cancer Center, Gainesville, FL 32610, USA
| | - Zhiguang Huo
- Department of Biostatistics, College of Medicine, College of Public Health & Health Professions, University of Florida, Gainesville, FL 32611, USA
| | - Liang Zhou
- Department of Infectious Diseases and Immunology, College of Veterinary Medicine, University of Florida, Gainesville, FL 32608, USA
| | - Brian S Sheridan
- Department of Microbiology and Immunology, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY 11794, USA
| | - Jose R Conejo-Garcia
- Department of Immunology, H. Lee Moffitt Cancer Center and Research Institute, 12902 Magnolia Dr., Tampa, FL 33612, USA
| | - Timothy I Shaw
- Department of Biostatistics and Bioinformatics, H. Lee Moffitt Cancer Center and Research Institute, 12902 Magnolia Dr., Tampa, FL 33612, USA
| | - Yenan T Bryceson
- Centre for Hematology and Regenerative Medicine, Department of Medicine, Karolinska Institutet, Karolinska University Hospital Huddinge, S-14186 Stockholm, Sweden
- Broegelmann Research Laboratory, Department of Clinical Sciences, University of Bergen, N-5021 Bergen, Norway
- Department of Clinical Immunology and Transfusion Medicine, Karolinska University Hospital, S-14186 Stockholm, Sweden
| | - Dorina Avram
- Department of Immunology, H. Lee Moffitt Cancer Center and Research Institute, 12902 Magnolia Dr., Tampa, FL 33612, USA
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6
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Salma M, Andrieu-Soler C, Deleuze V, Soler E. High-throughput methods for the analysis of transcription factors and chromatin modifications: Low input, single cell and spatial genomic technologies. Blood Cells Mol Dis 2023; 101:102745. [PMID: 37121019 DOI: 10.1016/j.bcmd.2023.102745] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Revised: 04/20/2023] [Accepted: 04/20/2023] [Indexed: 05/02/2023]
Abstract
Genome-wide analysis of transcription factors and epigenomic features is instrumental to shed light on DNA-templated regulatory processes such as transcription, cellular differentiation or to monitor cellular responses to environmental cues. Two decades of technological developments have led to a rich set of approaches progressively pushing the limits of epigenetic profiling towards single cells. More recently, disruptive technologies using innovative biochemistry came into play. Assays such as CUT&RUN, CUT&Tag and variations thereof show considerable potential to survey multiple TFs or histone modifications in parallel from a single experiment and in native conditions. These are in the path to become the dominant assays for genome-wide analysis of TFs and chromatin modifications in bulk, single-cell, and spatial genomic applications. The principles together with pros and cons are discussed.
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Affiliation(s)
- Mohammad Salma
- Institut de Génétique Moléculaire de Montpellier, Univ Montpellier, CNRS, Montpellier, France; Université de Paris, Laboratory of Excellence GR-Ex, France
| | - Charlotte Andrieu-Soler
- Institut de Génétique Moléculaire de Montpellier, Univ Montpellier, CNRS, Montpellier, France; Université de Paris, Laboratory of Excellence GR-Ex, France
| | - Virginie Deleuze
- Institut de Génétique Moléculaire de Montpellier, Univ Montpellier, CNRS, Montpellier, France; Université de Paris, Laboratory of Excellence GR-Ex, France
| | - Eric Soler
- Institut de Génétique Moléculaire de Montpellier, Univ Montpellier, CNRS, Montpellier, France; Université de Paris, Laboratory of Excellence GR-Ex, France.
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7
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Intrathymic dendritic cell-biased precursors promote human T cell lineage specification through IRF8-driven transmembrane TNF. Nat Immunol 2023; 24:474-486. [PMID: 36703005 DOI: 10.1038/s41590-022-01417-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Accepted: 12/16/2022] [Indexed: 01/27/2023]
Abstract
The cross-talk between thymocytes and thymic stromal cells is fundamental for T cell development. In humans, intrathymic development of dendritic cells (DCs) is evident but its physiological significance is unknown. Here we showed that DC-biased precursors depended on the expression of the transcription factor IRF8 to express the membrane-bound precursor form of the cytokine TNF (tmTNF) to promote differentiation of thymus seeding hematopoietic progenitors into T-lineage specified precursors through activation of the TNF receptor (TNFR)-2 instead of TNFR1. In vitro recapitulation of TNFR2 signaling by providing low-density tmTNF or a selective TNFR2 agonist enhanced the generation of human T cell precursors. Our study shows that, in addition to mediating thymocyte selection and maturation, DCs function as hematopoietic stromal support for the early stages of human T cell development and provide proof of concept that selective targeting of TNFR2 can enhance the in vitro generation of T cell precursors for clinical application.
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8
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Shin B, Rothenberg EV. Multi-modular structure of the gene regulatory network for specification and commitment of murine T cells. Front Immunol 2023; 14:1108368. [PMID: 36817475 PMCID: PMC9928580 DOI: 10.3389/fimmu.2023.1108368] [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: 11/26/2022] [Accepted: 01/11/2023] [Indexed: 02/04/2023] Open
Abstract
T cells develop from multipotent progenitors by a gradual process dependent on intrathymic Notch signaling and coupled with extensive proliferation. The stages leading them to T-cell lineage commitment are well characterized by single-cell and bulk RNA analyses of sorted populations and by direct measurements of precursor-product relationships. This process depends not only on Notch signaling but also on multiple transcription factors, some associated with stemness and multipotency, some with alternative lineages, and others associated with T-cell fate. These factors interact in opposing or semi-independent T cell gene regulatory network (GRN) subcircuits that are increasingly well defined. A newly comprehensive picture of this network has emerged. Importantly, because key factors in the GRN can bind to markedly different genomic sites at one stage than they do at other stages, the genes they significantly regulate are also stage-specific. Global transcriptome analyses of perturbations have revealed an underlying modular structure to the T-cell commitment GRN, separating decisions to lose "stem-ness" from decisions to block alternative fates. Finally, the updated network sheds light on the intimate relationship between the T-cell program, which depends on the thymus, and the innate lymphoid cell (ILC) program, which does not.
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Affiliation(s)
- Boyoung Shin
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, United States
| | - Ellen V. Rothenberg
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, United States
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9
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Van de Walle I, Lambrechts N, Derveeuw A, Lavaert M, Roels J, Taghon T. Identification and Purification of Human T Cell Precursors. Methods Mol Biol 2023; 2580:315-333. [PMID: 36374467 DOI: 10.1007/978-1-0716-2740-2_20] [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
During their development, human T cells undergo similar genomic changes and pass through the same developmental checkpoints as developing thymocytes in the mouse. The difference between both species, however, is that some of these developmental stages are characterized by different phenotypic markers, and as a result, evidence emerges that the molecular regulation of human T cell development subtly differs from the mouse (Taghon et al., Curr Top Microbiol Immunol 360:75-97, 2021; Haddad et al., Immunity 24:217-230, 2006; Hao et al., Blood 111:1318-1326, 2008; Taghon and Rothenberg, Semin Immunopathol 30:383-398, 2008). In this chapter, we describe in detail how the different stages of human T cell development can be characterized and isolated using specific surface markers.
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Affiliation(s)
- Inge Van de Walle
- The Department of Diagnostic Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent University Hospital, Ghent, Belgium
| | - Nina Lambrechts
- The Department of Diagnostic Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent University Hospital, Ghent, Belgium
| | - Anaïs Derveeuw
- The Department of Diagnostic Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent University Hospital, Ghent, Belgium
| | - Marieke Lavaert
- The Department of Diagnostic Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent University Hospital, Ghent, Belgium
| | - Juliette Roels
- The Department of Diagnostic Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent University Hospital, Ghent, Belgium
| | - Tom Taghon
- The Department of Diagnostic Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent University Hospital, Ghent, Belgium.
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10
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Boehme L, Roels J, Taghon T. Development of γδ T cells in the thymus - A human perspective. Semin Immunol 2022; 61-64:101662. [PMID: 36374779 DOI: 10.1016/j.smim.2022.101662] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Accepted: 10/05/2022] [Indexed: 12/14/2022]
Abstract
γδ T cells are increasingly emerging as crucial immune regulators that can take on innate and adaptive roles in the defence against pathogens. Although they arise within the thymus from the same hematopoietic precursors as conventional αβ T cells, the development of γδ T cells is less well understood. In this review, we focus on summarising the current state of knowledge about the cellular and molecular processes involved in the generation of γδ T cells in human.
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Affiliation(s)
- Lena Boehme
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
| | - Juliette Roels
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
| | - Tom Taghon
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium; Cancer Research Institute Ghent (CRIG), Ghent, Belgium.
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11
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CaSee: A lightning transfer-learning model directly used to discriminate cancer/normal cells from scRNA-seq. Oncogene 2022; 41:4866-4876. [PMID: 36192479 DOI: 10.1038/s41388-022-02478-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Revised: 09/13/2022] [Accepted: 09/20/2022] [Indexed: 11/08/2022]
Abstract
Single-cell RNA sequencing (scRNA-seq) is one of the most efficient technologies for human tumor research. However, data analysis is still faced with technical challenges, especially the difficulty in efficiently and accurately discriminating cancer/normal cells in the scRNA-seq expression matrix. If we can address these challenges, we can have a deeper understanding of the intratumoral and intertumoral heterogeneity. In this study, we developed a cancer/normal cell discrimination pipeline called pan-Cancer Seeker (CaSee) devoted to scRNA-seq expression matrix, which is based on the traditional high-quality pan-cancer bulk sequencing data using transfer learning. CaSee is the first tool directly used to discriminate cancer/normal cells in the scRNA-seq expression matrix, with much wider application fields and higher efficiency than copy number variation (CNV) method which requires corresponding reference cells. CaSee is user-friendly and can adapt to a variety of data sources, including but not limited to scRNA tissue sequencing data, scRNA cell line sequencing data, scRNA xenograft cell sequencing data and scRNA circulating tumor cell sequencing data. It is compatible with mainstream sequencing technology platforms, 10× Genomics Chromium, Smart-seq2, and Microwell-seq. Here, CaSee pipeline exhibited excellent performance in the multicenter data evaluation of 11 retrospective cohorts and one independent dataset, with an average discrimination accuracy of 96.69%. In general, the development of a deep-learning based, pan-cancer cell discrimination model, CaSee, to distinguish cancer cells from normal cells will be compelling to researchers working in the genomics, cancer, and single-cell fields.
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12
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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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13
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Amanda S, Tan TK, Ong JZL, Theardy MS, Wong RWJ, Huang XZ, Ali MZ, Li Y, Gong Z, Inagaki H, Foo EY, Pang B, Tan SY, Iida S, Sanda T. IRF4 drives clonal evolution and lineage choice in a zebrafish model of T-cell lymphoma. Nat Commun 2022; 13:2420. [PMID: 35504924 PMCID: PMC9065160 DOI: 10.1038/s41467-022-30053-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Accepted: 04/13/2022] [Indexed: 12/15/2022] Open
Abstract
IRF4 is a master regulator of immunity and is also frequently overexpressed in mature lymphoid neoplasms. Here, we demonstrate the oncogenicity of IRF4 in vivo, its potential effects on T-cell development and clonal evolution using a zebrafish model. IRF4-transgenic zebrafish develop aggressive tumors with massive infiltration of abnormal lymphocytes that spread to distal organs. Many late-stage tumors are mono- or oligoclonal, and tumor cells can expand in recipient animals after transplantation, demonstrating their malignancy. Mutation of p53 accelerates tumor onset, increases penetrance, and results in tumor heterogeneity. Surprisingly, single-cell RNA-sequencing reveals that the majority of tumor cells are double-negative T-cells, many of which express tcr-γ that became dominant as the tumors progress, whereas double-positive T-cells are largely diminished. Gene expression and epigenetic profiling demonstrates that gata3, mycb, lrrn1, patl1 and psip1 are specifically activated in tumors, while genes responsible for T-cell differentiation including id3 are repressed. IRF4-driven tumors are sensitive to the BRD inhibitor.
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Affiliation(s)
- Stella Amanda
- Cancer Science Institute of Singapore, National University of Singapore, 117599, Singapore, Singapore
| | - Tze King Tan
- Cancer Science Institute of Singapore, National University of Singapore, 117599, Singapore, Singapore
| | - Jolynn Zu Lin Ong
- Cancer Science Institute of Singapore, National University of Singapore, 117599, Singapore, Singapore
| | | | - Regina Wan Ju Wong
- Cancer Science Institute of Singapore, National University of Singapore, 117599, Singapore, Singapore
| | - Xiao Zi Huang
- Cancer Science Institute of Singapore, National University of Singapore, 117599, Singapore, Singapore
| | - Muhammad Zulfaqar Ali
- Cancer Science Institute of Singapore, National University of Singapore, 117599, Singapore, Singapore
| | - Yan Li
- Department of Biological Sciences, National University of Singapore, 117543, Singapore, Singapore
| | - Zhiyuan Gong
- Department of Biological Sciences, National University of Singapore, 117543, Singapore, Singapore
| | - Hiroshi Inagaki
- Department of Pathology and Molecular Diagnostics, Nagoya City University Graduate School of Medical Sciences, Nagoya, 467-8601, Japan
| | - Ee Yong Foo
- Department of Pathology, Yong Loo Lin School of Medicine, National University of Singapore, 117599, Singapore, Singapore
| | - Brendan Pang
- Department of Pathology, Yong Loo Lin School of Medicine, National University of Singapore, 117599, Singapore, Singapore
| | - Soo Yong Tan
- Department of Pathology, Yong Loo Lin School of Medicine, National University of Singapore, 117599, Singapore, Singapore
| | - Shinsuke Iida
- Department of Hematology and Oncology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Aichi, 467-8601, Japan
| | - Takaomi Sanda
- Cancer Science Institute of Singapore, National University of Singapore, 117599, Singapore, Singapore. .,Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, 117599, Singapore, Singapore.
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14
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Deng Y, Choi J, Lê Cao KA. Sincast: a computational framework to predict cell identities in single-cell transcriptomes using bulk atlases as references. Brief Bioinform 2022; 23:6561437. [PMID: 35362513 PMCID: PMC9155616 DOI: 10.1093/bib/bbac088] [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: 11/29/2021] [Revised: 02/18/2022] [Accepted: 02/21/2022] [Indexed: 11/23/2022] Open
Abstract
Characterizing the molecular identity of a cell is an essential step in single-cell RNA sequencing (scRNA-seq) data analysis. Numerous tools exist for predicting cell identity using single-cell reference atlases. However, many challenges remain, including correcting for inherent batch effects between reference and query data andinsufficient phenotype data from the reference. One solution is to project single-cell data onto established bulk reference atlases to leverage their rich phenotype information. Sincast is a computational framework to query scRNA-seq data by projection onto bulk reference atlases. Prior to projection, single-cell data are transformed to be directly comparable to bulk data, either with pseudo-bulk aggregation or graph-based imputation to address sparse single-cell expression profiles. Sincast avoids batch effect correction, and cell identity is predicted along a continuum to highlight new cell states not found in the reference atlas. In several case study scenarios, we show that Sincast projects single cells into the correct biological niches in the expression space of the bulk reference atlas. We demonstrate the effectiveness of our imputation approach that was specifically developed for querying scRNA-seq data based on bulk reference atlases. We show that Sincast is an efficient and powerful tool for single-cell profiling that will facilitate downstream analysis of scRNA-seq data.
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Affiliation(s)
- Yidi Deng
- Melbourne Integrative Genomics, School of Mathematics and Statistics, The University of Melbourne, Parkville, 3010, VIC, Australia.,Centre for Stem Cell Systems, School of Biomedical Sciences, The University of Melbourne, Parkville, 3010, VIC, Country
| | - Jarny Choi
- Melbourne Integrative Genomics, School of Mathematics and Statistics, The University of Melbourne, Parkville, 3010, VIC, Australia
| | - Kim-Anh Lê Cao
- Melbourne Integrative Genomics, School of Mathematics and Statistics, The University of Melbourne, Parkville, 3010, VIC, Australia
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15
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Jiang Z, Qin L, Tang Y, Liao R, Shi J, He B, Li S, Zheng D, Cui Y, Wu Q, Long Y, Yao Y, Wei Z, Hong Q, Wu Y, Mai Y, Gou S, Li X, Weinkove R, Norton S, Luo W, Feng W, Zhou H, Liu Q, Chen J, Lai L, Chen X, Pei D, Graf T, Liu X, Li Y, Liu P, Zhang Z, Li P. Human induced-T-to-natural killer cells have potent anti-tumour activities. Biomark Res 2022; 10:13. [PMID: 35331335 PMCID: PMC8943975 DOI: 10.1186/s40364-022-00358-4] [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: 01/28/2022] [Accepted: 02/16/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Adoptive cell therapy (ACT) is a particularly promising area of cancer immunotherapy, engineered T and NK cells that express chimeric antigen receptors (CAR) are being explored for treating hematopoietic malignancies but exhibit limited clinical benefits for solid tumour patients, successful cellular immunotherapy of solid tumors demands new strategies. METHODS Inactivation of BCL11B were performed by CRISPR/Cas9 in human T cells. Immunophenotypic and transcriptional profiles of sgBCL11B T cells were characterized by cytometer and transcriptomics, respectively. sgBCL11B T cells are further engineered with chimeric antigen receptor. Anti-tumor activity of ITNK or CAR-ITNK cells were evaluated in preclinical and clinical studies. RESULTS We report that inactivation of BCL11B in human CD8+ and CD4+ T cells induced their reprogramming into induced T-to-natural killer cells (ITNKs). ITNKs contained a diverse TCR repertoire; downregulated T cell-associated genes such as TCF7 and LEF1; and expressed high levels of NK cell lineage-associated genes. ITNKs and chimeric antigen receptor (CAR)-transduced ITNKs selectively lysed a variety of cancer cells in culture and suppressed the growth of solid tumors in xenograft models. In a preliminary clinical study, autologous administration of ITNKs in patients with advanced solid tumors was well tolerated, and tumor stabilization was seen in six out nine patients, with one partial remission. CONCLUSIONS The novel ITNKs thus may be a promising novel cell source for cancer immunotherapy. TRIAL REGISTRATION ClinicalTrials.gov, NCT03882840 . Registered 20 March 2019-Retrospectively registered.
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Affiliation(s)
- Zhiwu Jiang
- China-New Zealand Joint Laboratory of Biomedine and Health, State Key Laboratory of Respiratory Disease, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Chinese Academy of Sciences Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Le Qin
- China-New Zealand Joint Laboratory of Biomedine and Health, State Key Laboratory of Respiratory Disease, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Chinese Academy of Sciences Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Yuou Tang
- Department of Radiology; Guangdong Provincial Education Department Key Laboratory of Nano-Immunoregulation Tumour Microenvironment; Guangzhou Key Laboratory for Research and Development of Nano-Biomedical Technology for Diagnosis and Therapy, the Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Rui Liao
- China-New Zealand Joint Laboratory of Biomedine and Health, State Key Laboratory of Respiratory Disease, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Chinese Academy of Sciences Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Jingxuan Shi
- China-New Zealand Joint Laboratory of Biomedine and Health, State Key Laboratory of Respiratory Disease, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Chinese Academy of Sciences Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Bingjia He
- Department of Radiology; Guangdong Provincial Education Department Key Laboratory of Nano-Immunoregulation Tumour Microenvironment; Guangzhou Key Laboratory for Research and Development of Nano-Biomedical Technology for Diagnosis and Therapy, the Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Shanglin Li
- China-New Zealand Joint Laboratory of Biomedine and Health, State Key Laboratory of Respiratory Disease, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Chinese Academy of Sciences Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Diwei Zheng
- China-New Zealand Joint Laboratory of Biomedine and Health, State Key Laboratory of Respiratory Disease, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Chinese Academy of Sciences Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Yuanbin Cui
- China-New Zealand Joint Laboratory of Biomedine and Health, State Key Laboratory of Respiratory Disease, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Chinese Academy of Sciences Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Qiting Wu
- China-New Zealand Joint Laboratory of Biomedine and Health, State Key Laboratory of Respiratory Disease, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Chinese Academy of Sciences Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Youguo Long
- China-New Zealand Joint Laboratory of Biomedine and Health, State Key Laboratory of Respiratory Disease, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Chinese Academy of Sciences Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Yao Yao
- China-New Zealand Joint Laboratory of Biomedine and Health, State Key Laboratory of Respiratory Disease, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Chinese Academy of Sciences Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Zhihui Wei
- Guangdong Zhaotai InVivo Biomedicine Co. Ltd., Guangzhou, China
| | - Qilan Hong
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, China.,Centre for Genomic Regulation, The Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Yi Wu
- China-New Zealand Joint Laboratory of Biomedine and Health, State Key Laboratory of Respiratory Disease, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Chinese Academy of Sciences Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.,Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, China
| | - Yuanbang Mai
- China-New Zealand Joint Laboratory of Biomedine and Health, State Key Laboratory of Respiratory Disease, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Chinese Academy of Sciences Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.,Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, China
| | - Shixue Gou
- China-New Zealand Joint Laboratory of Biomedine and Health, State Key Laboratory of Respiratory Disease, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Chinese Academy of Sciences Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Xiaoping Li
- Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China
| | - Robert Weinkove
- Cancer Immunotherapy Programme, Malaghan Institute of Medical Research, Wellington, New Zealand
| | | | - Wei Luo
- Clinical Research Institute, The First People's Hospital of Foshan, Foshan, China
| | - Weineng Feng
- Department of Head and Neck/Thoracic Medical Oncology, The First People's Hospital of Foshan, Foshan, Guangdong, China
| | - Hongsheng Zhou
- Department of Hematology, Nanfang Hospital, Guangzhou, China
| | - Qifa Liu
- Department of Hematology, Nanfang Hospital, Guangzhou, China
| | - Jiekai Chen
- China-New Zealand Joint Laboratory of Biomedine and Health, State Key Laboratory of Respiratory Disease, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Chinese Academy of Sciences Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.,Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, China
| | - Liangxue Lai
- China-New Zealand Joint Laboratory of Biomedine and Health, State Key Laboratory of Respiratory Disease, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Chinese Academy of Sciences Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Xinwen Chen
- China-New Zealand Joint Laboratory of Biomedine and Health, State Key Laboratory of Respiratory Disease, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Chinese Academy of Sciences Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Duanqing Pei
- School of Life Sciences, Westlake University, Hangzhou, China
| | - Thomas Graf
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, China.,Centre for Genomic Regulation, The Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Xingguo Liu
- China-New Zealand Joint Laboratory of Biomedine and Health, State Key Laboratory of Respiratory Disease, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Chinese Academy of Sciences Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.,Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, China
| | - Yangqiu Li
- Institute of Hematology, Medical College, Jinan University, Guangzhou, China
| | - Pentao Liu
- School of Biomedical Sciences, Stem Cell and Regenerative Medicine Consortium, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, SAR, China.
| | - Zhenfeng Zhang
- Department of Radiology; Guangdong Provincial Education Department Key Laboratory of Nano-Immunoregulation Tumour Microenvironment; Guangzhou Key Laboratory for Research and Development of Nano-Biomedical Technology for Diagnosis and Therapy, the Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
| | - Peng Li
- China-New Zealand Joint Laboratory of Biomedine and Health, State Key Laboratory of Respiratory Disease, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Chinese Academy of Sciences Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China. .,Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, China. .,Centre for Regenerative Medicine and Health, Hong Kong Institute of Science & Innovation, Chinese Academy of Sciences, Hong Kong, SAR, China.
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16
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Zou Z, Ohta T, Miura F, Oki S. ChIP-Atlas 2021 update: a data-mining suite for exploring epigenomic landscapes by fully integrating ChIP-seq, ATAC-seq and Bisulfite-seq data. Nucleic Acids Res 2022; 50:W175-W182. [PMID: 35325188 PMCID: PMC9252733 DOI: 10.1093/nar/gkac199] [Citation(s) in RCA: 121] [Impact Index Per Article: 60.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Revised: 02/21/2022] [Accepted: 03/22/2022] [Indexed: 01/07/2023] Open
Abstract
ChIP-Atlas (https://chip-atlas.org) is a web service providing both GUI- and API-based data-mining tools to reveal the architecture of the transcription regulatory landscape. ChIP-Atlas is powered by comprehensively integrating all data sets from high-throughput ChIP-seq and DNase-seq, a method for profiling chromatin regions accessible to DNase. In this update, we further collected all the ATAC-seq and whole-genome bisulfite-seq data for six model organisms (human, mouse, rat, fruit fly, nematode, and budding yeast) with the latest genome assemblies. These together with ChIP-seq data can be visualized with the Peak Browser tool and a genome browser to explore the epigenomic landscape of a query genomic locus, such as its chromatin accessibility, DNA methylation status, and protein–genome interactions. This epigenomic landscape can also be characterized for multiple genes and genomic loci by querying with the Enrichment Analysis tool, which, for example, revealed that inflammatory bowel disease-associated SNPs are the most significantly hypo-methylated in neutrophils. Therefore, ChIP-Atlas provides a panoramic view of the whole epigenomic landscape. All datasets are free to download via either a simple button on the web page or an API.
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Affiliation(s)
- Zhaonan Zou
- Department of Drug Discovery Medicine, Kyoto University Graduate School of Medicine, 53 Shogoin Kawahara-cho, Sakyo-ku, Kyoto 606-8507, Japan.,Kyoto University Graduate Program for Medical Innovation, Yoshida-Konoe-cho, Sakyo-ku, Kyoto 606-8501, Japan.,Kyoto University Graduate Division, Yoshida-Nihonmatsu-cho, Sakyo-ku, Kyoto 606-8501, Japan
| | - Tazro Ohta
- Database Center for Life Science, Joint Support-Center for Data Science Research, Research Organization of Information and Systems, Yata 1111, Mishima, Shizuoka 411-8540, Japan
| | - Fumihito Miura
- Department of Biochemistry, Kyushu University Graduate School of Medical Sciences, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan
| | - Shinya Oki
- Department of Drug Discovery Medicine, Kyoto University Graduate School of Medicine, 53 Shogoin Kawahara-cho, Sakyo-ku, Kyoto 606-8507, Japan.,Precursory Research for Embryonic Science and Technology, Japan Science and Technology Agency, 4-1-8 Honcho, Kawaguchi, Saitama 332-0012, Japan
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17
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Scaramuzzino S, Potier D, Ordioni R, Grenot P, Payet-Bornet D, Luche H, Malissen B. Single-cell transcriptomics uncovers an instructive T-cell receptor role in adult γδ T-cell lineage commitment. EMBO J 2022; 41:e110023. [PMID: 35128689 PMCID: PMC8886544 DOI: 10.15252/embj.2021110023] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2021] [Revised: 12/18/2021] [Accepted: 01/03/2022] [Indexed: 01/05/2023] Open
Abstract
After entering the adult thymus, bipotent T‐cell progenitors give rise to αβ or γδ T cells. To determine whether the γδ T‐cell receptor (TCR) has an instructive role in γδ T‐cell lineage commitment or only “confirms” a pre‐established γδ Τ‐cell lineage state, we exploited mice lacking expression of LAT, an adaptor required for γδ TCR signaling. Although these mice showed a T‐cell development block at the CD4−CD8− double‐negative third (DN3) stage, 0.3% of their DN3 cells expressed intermediate levels of γδ TCR (further referred to as γδint) at their surface. Single‐cell transcriptomics of LAT‐deficient DN3 γδint cells demonstrated no sign of commitment to the γδ T‐cell lineage, apart from γδ TCR expression. Although the lack of LAT is thought to tightly block DN3 cell development, we unexpectedly found that 25% of LAT‐deficient DN3 γδint cells were actively proliferating and progressed up to the DN4 stage. However, even those cells failed to turn on the transcriptional program associated with the γδ T‐cell lineage. Therefore, the γδ TCR‐LAT signaling axis builds upon a γδ T‐cell uncommitted lineage state to fully instruct adult γδ T‐cell lineage specification.
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Affiliation(s)
- Sara Scaramuzzino
- Centre d'Immunophénomique (CIPHE), Aix Marseille Université, INSERM, CNRS UMR, Marseille, France.,Centre d'Immunologie de Marseille-Luminy (CIML), Aix Marseille Université, INSERM, CNRS, Marseille, France
| | - Delphine Potier
- Centre d'Immunologie de Marseille-Luminy (CIML), Aix Marseille Université, INSERM, CNRS, Marseille, France
| | - Robin Ordioni
- Centre d'Immunophénomique (CIPHE), Aix Marseille Université, INSERM, CNRS UMR, Marseille, France
| | - Pierre Grenot
- Centre d'Immunophénomique (CIPHE), Aix Marseille Université, INSERM, CNRS UMR, Marseille, France
| | - Dominique Payet-Bornet
- Centre d'Immunologie de Marseille-Luminy (CIML), Aix Marseille Université, INSERM, CNRS, Marseille, France
| | - Hervé Luche
- Centre d'Immunophénomique (CIPHE), Aix Marseille Université, INSERM, CNRS UMR, Marseille, France
| | - Bernard Malissen
- Centre d'Immunophénomique (CIPHE), Aix Marseille Université, INSERM, CNRS UMR, Marseille, France.,Centre d'Immunologie de Marseille-Luminy (CIML), Aix Marseille Université, INSERM, CNRS, Marseille, France
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18
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Saini A, Ghoneim HE, Lio CWJ, Collins PL, Oltz EM. Gene Regulatory Circuits in Innate and Adaptive Immune Cells. Annu Rev Immunol 2022; 40:387-411. [PMID: 35119910 DOI: 10.1146/annurev-immunol-101320-025949] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Cell identity and function largely rely on the programming of transcriptomes during development and differentiation. Signature gene expression programs are orchestrated by regulatory circuits consisting of cis-acting promoters and enhancers, which respond to a plethora of cues via the action of transcription factors. In turn, transcription factors direct epigenetic modifications to revise chromatin landscapes, and drive contacts between distal promoter-enhancer combinations. In immune cells, regulatory circuits for effector genes are especially complex and flexible, utilizing distinct sets of transcription factors and enhancers, depending on the cues each cell type receives during an infection, after sensing cellular damage, or upon encountering a tumor. Here, we review major players in the coordination of gene regulatory programs within innate and adaptive immune cells, as well as integrative omics approaches that can be leveraged to decipher their underlying circuitry. Expected final online publication date for the Annual Review of Immunology, Volume 40 is April 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.
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Affiliation(s)
- Ankita Saini
- Department of Microbial Infection and Immunity and Pelotonia Institute for Immuno-Oncology, The James Comprehensive Cancer Center, College of Medicine, The Ohio State University, Columbus, Ohio, USA; ,
| | - Hazem E Ghoneim
- Department of Microbial Infection and Immunity and Pelotonia Institute for Immuno-Oncology, The James Comprehensive Cancer Center, College of Medicine, The Ohio State University, Columbus, Ohio, USA; ,
| | - Chan-Wang Jerry Lio
- Department of Microbial Infection and Immunity and Pelotonia Institute for Immuno-Oncology, The James Comprehensive Cancer Center, College of Medicine, The Ohio State University, Columbus, Ohio, USA; ,
| | - Patrick L Collins
- Department of Microbial Infection and Immunity and Pelotonia Institute for Immuno-Oncology, The James Comprehensive Cancer Center, College of Medicine, The Ohio State University, Columbus, Ohio, USA; ,
| | - Eugene M Oltz
- Department of Microbial Infection and Immunity and Pelotonia Institute for Immuno-Oncology, The James Comprehensive Cancer Center, College of Medicine, The Ohio State University, Columbus, Ohio, USA; ,
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19
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Abstract
Epigenetic regulators are pivotal factors that influence and control T cell development. Recent findings continue to reveal additional elements of epigenetic modifications that play significant and crucial roles at different stages of T cell development. Through gaining a better understanding of the various epigenetic factors that influence the formation and survival of maturing T cells, new therapies can potentially be developed to combat diseases caused by dysregulated epigenetic chromatin modifications. In this review, we summarize the recent studies which shed light on the epigenetic regulation of T cell development especially at the critical stage of β-selection.
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Affiliation(s)
- Avik Dutta
- Section on Hematopoiesis and Lymphocyte Biology, Eunice Kennedy Shriver, National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA
| | - Harini Venkataganesh
- Section on Hematopoiesis and Lymphocyte Biology, Eunice Kennedy Shriver, National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA.,Rensselaer Polytechnic Institute, Troy, NY, USA
| | - Paul E Love
- Section on Hematopoiesis and Lymphocyte Biology, Eunice Kennedy Shriver, National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA
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20
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Jain MS, Polanski K, Conde CD, Chen X, Park J, Mamanova L, Knights A, Botting RA, Stephenson E, Haniffa M, Lamacraft A, Efremova M, Teichmann SA. MultiMAP: dimensionality reduction and integration of multimodal data. Genome Biol 2021; 22:346. [PMID: 34930412 PMCID: PMC8686224 DOI: 10.1186/s13059-021-02565-y] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Accepted: 12/03/2021] [Indexed: 01/04/2023] Open
Abstract
Multimodal data is rapidly growing in many fields of science and engineering, including single-cell biology. We introduce MultiMAP, a novel algorithm for dimensionality reduction and integration. MultiMAP can integrate any number of datasets, leverages features not present in all datasets, is not restricted to a linear mapping, allows the user to specify the influence of each dataset, and is extremely scalable to large datasets. We apply MultiMAP to single-cell transcriptomics, chromatin accessibility, methylation, and spatial data and show that it outperforms current approaches. On a new thymus dataset, we use MultiMAP to integrate cells along a temporal trajectory. This enables quantitative comparison of transcription factor expression and binding site accessibility over the course of T cell differentiation, revealing patterns of expression versus binding site opening kinetics.
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Affiliation(s)
- Mika Sarkin Jain
- Theory of Condensed Matter, Dept Physics, Cavendish Laboratory, University of Cambridge, JJ Thomson Ave, Cambridge, CB3 0HE, UK.
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SA, UK.
| | - Krzysztof Polanski
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | | | - Xi Chen
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
- Southern University of Science and Technology, 1088 Xueyuan Ave, Nanshan, Shenzhen, 518055, Guangdong Province, China
| | - Jongeun Park
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
- KAIST, 291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea
| | - Lira Mamanova
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | - Andrew Knights
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | - Rachel A Botting
- Biosciences Institute, Newcastle University, Newcastle upon Tyne, NE2 4HH, UK
| | - Emily Stephenson
- Biosciences Institute, Newcastle University, Newcastle upon Tyne, NE2 4HH, UK
| | - Muzlifah Haniffa
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
- Biosciences Institute, Newcastle University, Newcastle upon Tyne, NE2 4HH, UK
| | - Austen Lamacraft
- Theory of Condensed Matter, Dept Physics, Cavendish Laboratory, University of Cambridge, JJ Thomson Ave, Cambridge, CB3 0HE, UK
| | - Mirjana Efremova
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SA, UK.
- Barts Cancer Institute, Queen Mary University of London, London, UK.
| | - Sarah A Teichmann
- Theory of Condensed Matter, Dept Physics, Cavendish Laboratory, University of Cambridge, JJ Thomson Ave, Cambridge, CB3 0HE, UK.
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SA, UK.
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21
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Montefiori LE, Bendig S, Gu Z, Chen X, Pölönen P, Ma X, Murison A, Zeng A, Garcia-Prat L, Dickerson K, Iacobucci I, Abdelhamed S, Hiltenbrand R, Mead PE, Mehr CM, Xu B, Cheng Z, Chang TC, Westover T, Ma J, Stengel A, Kimura S, Qu C, Valentine MB, Rashkovan M, Luger S, Litzow MR, Rowe JM, den Boer ML, Wang V, Yin J, Kornblau SM, Hunger SP, Loh ML, Pui CH, Yang W, Crews KR, Roberts KG, Yang JJ, Relling MV, Evans WE, Stock W, Paietta EM, Ferrando AA, Zhang J, Kern W, Haferlach T, Wu G, Dick JE, Klco JM, Haferlach C, Mullighan CG. Enhancer Hijacking Drives Oncogenic BCL11B Expression in Lineage-Ambiguous Stem Cell Leukemia. Cancer Discov 2021; 11:2846-2867. [PMID: 34103329 PMCID: PMC8563395 DOI: 10.1158/2159-8290.cd-21-0145] [Citation(s) in RCA: 73] [Impact Index Per Article: 24.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Revised: 04/27/2021] [Accepted: 06/01/2021] [Indexed: 11/16/2022]
Abstract
Lineage-ambiguous leukemias are high-risk malignancies of poorly understood genetic basis. Here, we describe a distinct subgroup of acute leukemia with expression of myeloid, T lymphoid, and stem cell markers driven by aberrant allele-specific deregulation of BCL11B, a master transcription factor responsible for thymic T-lineage commitment and specification. Mechanistically, this deregulation was driven by chromosomal rearrangements that juxtapose BCL11B to superenhancers active in hematopoietic progenitors, or focal amplifications that generate a superenhancer from a noncoding element distal to BCL11B. Chromatin conformation analyses demonstrated long-range interactions of rearranged enhancers with the expressed BCL11B allele and association of BCL11B with activated hematopoietic progenitor cell cis-regulatory elements, suggesting BCL11B is aberrantly co-opted into a gene regulatory network that drives transformation by maintaining a progenitor state. These data support a role for ectopic BCL11B expression in primitive hematopoietic cells mediated by enhancer hijacking as an oncogenic driver of human lineage-ambiguous leukemia. SIGNIFICANCE: Lineage-ambiguous leukemias pose significant diagnostic and therapeutic challenges due to a poorly understood molecular and cellular basis. We identify oncogenic deregulation of BCL11B driven by diverse structural alterations, including de novo superenhancer generation, as the driving feature of a subset of lineage-ambiguous leukemias that transcend current diagnostic boundaries.This article is highlighted in the In This Issue feature, p. 2659.
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Affiliation(s)
- Lindsey E Montefiori
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, Tennessee
| | | | - Zhaohui Gu
- Department of Computational and Quantitative Medicine, City of Hope Comprehensive Cancer Center, Duarte, California
- Department of Systems Biology, City of Hope Comprehensive Cancer Center, Duarte, California
| | - Xiaolong Chen
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Petri Pölönen
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Xiaotu Ma
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Alex Murison
- Department of Molecular Genetics, University of Toronto, Toronto, Canada
| | - Andy Zeng
- Department of Molecular Genetics, University of Toronto, Toronto, Canada
| | - Laura Garcia-Prat
- Department of Molecular Genetics, University of Toronto, Toronto, Canada
| | - Kirsten Dickerson
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Ilaria Iacobucci
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Sherif Abdelhamed
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Ryan Hiltenbrand
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Paul E Mead
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Cyrus M Mehr
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Beisi Xu
- Center for Applied Bioinformatics, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Zhongshan Cheng
- Center for Applied Bioinformatics, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Ti-Cheng Chang
- Center for Applied Bioinformatics, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Tamara Westover
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Jing Ma
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, Tennessee
| | | | - Shunsuke Kimura
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Chunxu Qu
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Marcus B Valentine
- Cytogenetics Core Facility, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Marissa Rashkovan
- Institute for Cancer Genetics, Columbia University, New York, New York
| | - Selina Luger
- Abramson Cancer Center, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Mark R Litzow
- Division of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, Minnesota
| | - Jacob M Rowe
- Department of Hematology, Shaare Zedek Medical Center, Jerusalem, Israel
| | | | - Victoria Wang
- Department of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Jun Yin
- Division of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, Minnesota
| | - Steven M Kornblau
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Stephen P Hunger
- Department of Pediatrics, Children's Hospital of Philadelphia, and the Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania
| | - Mignon L Loh
- Department of Pediatrics, Benioff Children's Hospital and Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, California
| | - Ching-Hon Pui
- Department of Oncology, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Wenjian Yang
- Department of Pharmaceutical Sciences, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Kristine R Crews
- Department of Pharmaceutical Sciences, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Kathryn G Roberts
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Jun J Yang
- Department of Pharmaceutical Sciences, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Mary V Relling
- Department of Pharmaceutical Sciences, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - William E Evans
- Department of Pharmaceutical Sciences, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Wendy Stock
- University of Chicago Comprehensive Cancer Center, Chicago, Illinois
| | | | - Adolfo A Ferrando
- Institute for Cancer Genetics, Columbia University, New York, New York
- Department of Pediatrics, Columbia University, New York, New York
- Department of Pathology and Cell Biology, Columbia University, New York, New York
- Department of Systems Biology, Columbia University, New York, New York
| | - Jinghui Zhang
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, Tennessee
| | | | | | - Gang Wu
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, Tennessee
- Center for Applied Bioinformatics, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - John E Dick
- Department of Molecular Genetics, University of Toronto, Toronto, Canada
| | - Jeffery M Klco
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, Tennessee.
| | | | - Charles G Mullighan
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, Tennessee.
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22
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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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23
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Kiekens L, Van Loocke W, Taveirne S, Wahlen S, Persyn E, Van Ammel E, De Vos Z, Matthys P, Van Nieuwerburgh F, Taghon T, Van Vlierberghe P, Vandekerckhove B, Leclercq G. T-BET and EOMES Accelerate and Enhance Functional Differentiation of Human Natural Killer Cells. Front Immunol 2021; 12:732511. [PMID: 34630413 PMCID: PMC8497824 DOI: 10.3389/fimmu.2021.732511] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Accepted: 08/27/2021] [Indexed: 12/24/2022] Open
Abstract
T-bet and Eomes are transcription factors that are known to be important in maturation and function of murine natural killer (NK) cells. Reduced T-BET and EOMES expression results in dysfunctional NK cells and failure to control tumor growth. In contrast to mice, the current knowledge on the role of T-BET and EOMES in human NK cells is rudimentary. Here, we ectopically expressed either T-BET or EOMES in human hematopoietic progenitor cells. Combined transcriptome, chromatin accessibility and protein expression analyses revealed that T-BET or EOMES epigenetically represses hematopoietic stem cell quiescence and non-NK lineage differentiation genes, while activating an NK cell-specific transcriptome and thereby drastically accelerating NK cell differentiation. In this model, the effects of T-BET and EOMES are largely overlapping, yet EOMES shows a superior role in early NK cell maturation and induces faster NK receptor and enhanced CD16 expression. T-BET particularly controls transcription of terminal maturation markers and epigenetically controls strong induction of KIR expression. Finally, NK cells generated upon T-BET or EOMES overexpression display improved functionality, including increased IFN-γ production and killing, and especially EOMES overexpression NK cells have enhanced antibody-dependent cellular cytotoxicity. Our findings reveal novel insights on the regulatory role of T-BET and EOMES in human NK cell maturation and function, which is essential to further understand human NK cell biology and to optimize adoptive NK cell therapies.
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Affiliation(s)
- Laura Kiekens
- Laboratory of Experimental Immunology, Department of Diagnostic Sciences, Ghent University, Ghent, Belgium.,Cancer Research Institute Ghent (CRIG), Ghent, Belgium
| | - Wouter Van Loocke
- Cancer Research Institute Ghent (CRIG), Ghent, Belgium.,Department of Biomolecular Medicine, Ghent University, Ghent, Belgium
| | - Sylvie Taveirne
- Laboratory of Experimental Immunology, Department of Diagnostic Sciences, Ghent University, Ghent, Belgium.,Cancer Research Institute Ghent (CRIG), Ghent, Belgium
| | - Sigrid Wahlen
- Laboratory of Experimental Immunology, Department of Diagnostic Sciences, Ghent University, Ghent, Belgium.,Cancer Research Institute Ghent (CRIG), Ghent, Belgium
| | - Eva Persyn
- Laboratory of Experimental Immunology, Department of Diagnostic Sciences, Ghent University, Ghent, Belgium.,Cancer Research Institute Ghent (CRIG), Ghent, Belgium
| | - Els Van Ammel
- Laboratory of Experimental Immunology, Department of Diagnostic Sciences, Ghent University, Ghent, Belgium.,Cancer Research Institute Ghent (CRIG), Ghent, Belgium
| | - Zenzi De Vos
- Laboratory of Experimental Immunology, Department of Diagnostic Sciences, Ghent University, Ghent, Belgium.,Cancer Research Institute Ghent (CRIG), Ghent, Belgium
| | - Patrick Matthys
- Laboratory of Immunobiology, Rega Institute for Medical Research, Department of Microbiology, Immunology and Transplantation, K.U. Leuven, Leuven, Belgium
| | - Filip Van Nieuwerburgh
- Laboratory of Pharmaceutical Biotechnology, Department of Pharmaceutics, Ghent University, Ghent, Belgium
| | - Tom Taghon
- Laboratory of Experimental Immunology, Department of Diagnostic Sciences, Ghent University, Ghent, Belgium.,Cancer Research Institute Ghent (CRIG), Ghent, Belgium
| | - Pieter Van Vlierberghe
- Cancer Research Institute Ghent (CRIG), Ghent, Belgium.,Department of Biomolecular Medicine, Ghent University, Ghent, Belgium
| | - Bart Vandekerckhove
- Laboratory of Experimental Immunology, Department of Diagnostic Sciences, Ghent University, Ghent, Belgium.,Cancer Research Institute Ghent (CRIG), Ghent, Belgium
| | - Georges Leclercq
- Laboratory of Experimental Immunology, Department of Diagnostic Sciences, Ghent University, Ghent, Belgium.,Cancer Research Institute Ghent (CRIG), Ghent, Belgium
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24
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TET2 as a tumor suppressor and therapeutic target in T-cell acute lymphoblastic leukemia. Proc Natl Acad Sci U S A 2021; 118:2110758118. [PMID: 34413196 PMCID: PMC8403940 DOI: 10.1073/pnas.2110758118] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Pediatric T-cell acute lymphoblastic leukemia (T-ALL) is an aggressive malignancy in need of novel targeted therapies to prevent relapse and lessen treatment toxicity. We reveal frequent (∼88%) transcriptional silencing or repression of the tumor suppressor TET2 in T-ALL. We show that loss of TET2 in T-ALL is correlated with hypermethylation of the TET2 promoter and that TET2 expression can be rescued by treatment with the DNA demethylating agent, 5-azacytidine (5-aza). We further reveal that the TET2 cofactor vitamin C exerts a strong synergistic effect on global transcriptional changes when added to 5-aza treatment. Importantly, 5-aza treatment results in increased cell death, specifically in T-ALL cells lacking TET2. Thus, we clearly identify 5-aza as a potentially targeted therapy for TET2-silenced T-ALL. Pediatric T-cell acute lymphoblastic leukemia (T-ALL) is an aggressive malignancy resulting from overproduction of immature T-cells in the thymus and is typified by widespread alterations in DNA methylation. As survival rates for relapsed T-ALL remain dismal (10 to 25%), development of targeted therapies to prevent relapse is key to improving prognosis. Whereas mutations in the DNA demethylating enzyme TET2 are frequent in adult T-cell malignancies, TET2 mutations in T-ALL are rare. Here, we analyzed RNA-sequencing data of 321 primary T-ALLs, 20 T-ALL cell lines, and 25 normal human tissues, revealing that TET2 is transcriptionally repressed or silenced in 71% and 17% of T-ALL, respectively. Furthermore, we show that TET2 silencing is often associated with hypermethylation of the TET2 promoter in primary T-ALL. Importantly, treatment with the DNA demethylating agent, 5-azacytidine (5-aza), was significantly more toxic to TET2-silenced T-ALL cells and resulted in stable re-expression of the TET2 gene. Additionally, 5-aza led to up-regulation of methylated genes and human endogenous retroviruses (HERVs), which was further enhanced by the addition of physiological levels of vitamin C, a potent enhancer of TET activity. Together, our results clearly identify 5-aza as a potential targeted therapy for TET2-silenced T-ALL.
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25
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Oh S, Gray DHD, Chong MMW. Single-Cell RNA Sequencing Approaches for Tracing T Cell Development. THE JOURNAL OF IMMUNOLOGY 2021; 207:363-370. [PMID: 34644259 DOI: 10.4049/jimmunol.2100408] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Accepted: 05/20/2021] [Indexed: 01/17/2023]
Abstract
T cell development occurs in the thymus, where uncommitted progenitors are directed into a range of sublineages with distinct functions. The goal is to generate a TCR repertoire diverse enough to recognize potential pathogens while remaining tolerant of self. Decades of intensive research have characterized the transcriptional programs controlling critical differentiation checkpoints at the population level. However, greater precision regarding how and when these programs orchestrate differentiation at the single-cell level is required. Single-cell RNA sequencing approaches are now being brought to bear on this question, to track the identity of cells and analyze their gene expression programs at a resolution not previously possible. In this review, we discuss recent advances in the application of these technologies that have the potential to yield unprecedented insight to T cell development.
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Affiliation(s)
- Seungyoul Oh
- St. Vincent's Institute of Medical Research, Fitzroy, Victoria, Australia.,Department of Medicine (St. Vincent's), The University of Melbourne, Fitzroy, Victoria, Australia
| | - Daniel H D Gray
- The Walter and Eliza Hall Institute of Medical Research, Melbourne, Victoria, Australia; and.,Department of Medical Biology, The University of Melbourne, Melbourne, Victoria, Australia
| | - Mark M W Chong
- St. Vincent's Institute of Medical Research, Fitzroy, Victoria, Australia; .,Department of Medicine (St. Vincent's), The University of Melbourne, Fitzroy, Victoria, Australia
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26
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New insights into TCR β-selection. Trends Immunol 2021; 42:735-750. [PMID: 34261578 DOI: 10.1016/j.it.2021.06.005] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Revised: 06/14/2021] [Accepted: 06/14/2021] [Indexed: 12/12/2022]
Abstract
T cell receptor (TCR) β-selection (herein referred to as β-selection) is a pivotal checkpoint in mammalian T cell development when immature CD4-CD8- T-cells (thymocytes) express pre-TCR following successful Tcrb gene rearrangement. At this stage, αβ T cell lineage commitment and allelic exclusion to restrict one β-chain per cell take place and thymocytes undergo a proliferative burst. β-selection is known to be crucially dependent upon synchronized Notch and pre-TCR signaling; however, other necessary inputs have been identified over the past decade, expanding our knowledge and understanding of the β-selection process. In this review, we discuss recent mechanistic findings that have enabled a more detailed decoding of the molecular dynamics of the β-selection checkpoint and have helped to elucidate its role in early T cell development.
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27
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Touzart A, Mayakonda A, Smith C, Hey J, Toth R, Cieslak A, Andrieu GP, Tran Quang C, Latiri M, Ghysdael J, Spicuglia S, Dombret H, Ifrah N, Macintyre E, Lutsik P, Boissel N, Plass C, Asnafi V. Epigenetic analysis of patients with T-ALL identifies poor outcomes and a hypomethylating agent-responsive subgroup. Sci Transl Med 2021; 13:13/595/eabc4834. [PMID: 34039737 DOI: 10.1126/scitranslmed.abc4834] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2020] [Revised: 11/10/2020] [Accepted: 05/07/2021] [Indexed: 12/14/2022]
Abstract
Adult "T cell" acute lymphoblastic leukemia (T-ALL) is an aggressive hematological malignancy that is associated with poor outcomes, requiring additional therapeutic options. The DNA methylation landscapes of adult T-ALL remain undercharacterized. Here, we systematically analyzed the DNA methylation profiles of normal thymic-sorted T cell subpopulations and 143 primary adult T-ALLs as part of the French GRAALL 2003-2005 trial. Our results indicated that T-ALL is epigenetically heterogeneous consisting of five subtypes (C1-C5), which were either associated with co-occurring DNA methyltransferase 3 alpha (DNMT3A)/isocitrate dehydrogenase [NADP(+)] 2 (IDH2) mutations (C1), TAL bHLH transcription factor 1, erythroid differentiation factor (TAL1) deregulation (C2), T cell leukemia homeobox 3 (TLX3) (C3), TLX1/in cis-homeobox A9 (HOXA9) (C4), or in trans-HOXA9 overexpression (C5). Integrative analysis of DNA methylation and gene expression identified potential cluster-specific oncogenes and tumor suppressor genes. In addition to an aggressive hypomethylated subgroup (C1), our data identified an unexpected subset of hypermethylated T-ALL (C5) associated with poor outcome and primary therapeutic response. Using mouse xenografts, we demonstrated that hypermethylated T-ALL samples exhibited therapeutic responses to the DNA hypomethylating agent 5-azacytidine, which significantly (survival probability; P = 0.001 for C3, 0.01 for C4, and 0.0253 for C5) delayed tumor progression. These findings suggest that epigenetic-based therapies may provide an alternative treatment option in hypermethylated T-ALL.
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Affiliation(s)
- Aurore Touzart
- Cancer Epigenomics, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany.,Université de Paris (Descartes), Institut Necker -Enfants Malades (INEM), Institut national de la santé et de la recherche médicale (Inserm) U1151, and Laboratory of Onco-Hematology, Assistance Publique-Hôpitaux de Paris, Hôpital Necker Enfants-Malades, 75743 Paris, France
| | - Anand Mayakonda
- Cancer Epigenomics, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany.,Faculty of Biosciences, Heidelberg University, 69120 Heidelberg, Germany
| | - Charlotte Smith
- Université de Paris (Descartes), Institut Necker -Enfants Malades (INEM), Institut national de la santé et de la recherche médicale (Inserm) U1151, and Laboratory of Onco-Hematology, Assistance Publique-Hôpitaux de Paris, Hôpital Necker Enfants-Malades, 75743 Paris, France
| | - Joschka Hey
- Cancer Epigenomics, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany.,Faculty of Biosciences, Heidelberg University, 69120 Heidelberg, Germany.,Germany-Israeli Helmholtz Research School in Cancer Biology, 69120 Heidelberg, Germany
| | - Reka Toth
- Cancer Epigenomics, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Agata Cieslak
- Université de Paris (Descartes), Institut Necker -Enfants Malades (INEM), Institut national de la santé et de la recherche médicale (Inserm) U1151, and Laboratory of Onco-Hematology, Assistance Publique-Hôpitaux de Paris, Hôpital Necker Enfants-Malades, 75743 Paris, France
| | - Guillaume P Andrieu
- Université de Paris (Descartes), Institut Necker -Enfants Malades (INEM), Institut national de la santé et de la recherche médicale (Inserm) U1151, and Laboratory of Onco-Hematology, Assistance Publique-Hôpitaux de Paris, Hôpital Necker Enfants-Malades, 75743 Paris, France
| | - Christine Tran Quang
- Institut Curie, Orsay, France.,CNRS UMR3348, Institut Curie, Orsay, France.,INSERM 1278, Centre Universitaire, Orsay, France.,PSL Research University, Paris, France.,Paris-Saclay, 91400 Orsay, France
| | - Mehdi Latiri
- Université de Paris (Descartes), Institut Necker -Enfants Malades (INEM), Institut national de la santé et de la recherche médicale (Inserm) U1151, and Laboratory of Onco-Hematology, Assistance Publique-Hôpitaux de Paris, Hôpital Necker Enfants-Malades, 75743 Paris, France
| | - Jacques Ghysdael
- Institut Curie, Orsay, France.,CNRS UMR3348, Institut Curie, Orsay, France.,INSERM 1278, Centre Universitaire, Orsay, France.,PSL Research University, Paris, France.,Paris-Saclay, 91400 Orsay, France
| | - Salvatore Spicuglia
- Aix-Marseille University, Inserm, Theories and Approaches of Genomic Complexity (TAGC), Equipe labellisée Ligue, UMR1090, 13288 Marseille, France
| | - Hervé Dombret
- Université Paris Diderot, Institut Universitaire d'Hématologie, EA-3518, Assistance Publique-Hôpitaux de Paris, University Hospital Saint-Louis, 75010 Paris, France
| | - Norbert Ifrah
- PRES LUNAM, CHU Angers service des Maladies du Sang et INSERM U 892, 49933 Angers, France
| | - Elizabeth Macintyre
- Université de Paris (Descartes), Institut Necker -Enfants Malades (INEM), Institut national de la santé et de la recherche médicale (Inserm) U1151, and Laboratory of Onco-Hematology, Assistance Publique-Hôpitaux de Paris, Hôpital Necker Enfants-Malades, 75743 Paris, France
| | - Pavlo Lutsik
- Cancer Epigenomics, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany.,German Cancer Research Consortium (DKTK), 69120 Heidelberg, Germany
| | - Nicolas Boissel
- Université Paris Diderot, Institut Universitaire d'Hématologie, EA-3518, Assistance Publique-Hôpitaux de Paris, University Hospital Saint-Louis, 75010 Paris, France
| | - Christoph Plass
- Cancer Epigenomics, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany. .,German Cancer Research Consortium (DKTK), 69120 Heidelberg, Germany
| | - Vahid Asnafi
- Université de Paris (Descartes), Institut Necker -Enfants Malades (INEM), Institut national de la santé et de la recherche médicale (Inserm) U1151, and Laboratory of Onco-Hematology, Assistance Publique-Hôpitaux de Paris, Hôpital Necker Enfants-Malades, 75743 Paris, France.
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28
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Lefeivre T, Jones L, Trinquand A, Pinton A, Macintyre E, Laurenti E, Bond J. Immature acute leukaemias: lessons from the haematopoietic roadmap. FEBS J 2021; 289:4355-4370. [PMID: 34028982 DOI: 10.1111/febs.16030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Revised: 04/30/2021] [Accepted: 05/20/2021] [Indexed: 11/29/2022]
Abstract
It is essential to relate the biology of acute leukaemia to normal blood cell development. In this review, we discuss how modern models of haematopoiesis might inform approaches to diagnosis and management of immature leukaemias, with a specific focus on T-lymphoid and myeloid cases. In particular, we consider whether next-generation analytical tools could provide new perspectives that could improve our understanding of immature blood cancer biology.
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Affiliation(s)
- Thomas Lefeivre
- Systems Biology Ireland, School of Medicine, University College Dublin, Dublin, Ireland.,National Children's Research Centre, Dublin, Ireland
| | - Luke Jones
- Systems Biology Ireland, School of Medicine, University College Dublin, Dublin, Ireland.,National Children's Research Centre, Dublin, Ireland
| | - Amélie Trinquand
- National Children's Research Centre, Dublin, Ireland.,Children's Health Ireland at Crumlin, Dublin, Ireland
| | - Antoine Pinton
- Laboratory of Onco-Haematology, Assistance Publique-Hôpitaux de Paris (AP-HP), Hôpital Necker Enfants-Malades, Université de Paris, Paris, France.,Institut Necker-Enfants Malades (INEM), Institut national de la santé et de la recherche médicale (Inserm) U1151, Paris, France
| | - Elizabeth Macintyre
- Laboratory of Onco-Haematology, Assistance Publique-Hôpitaux de Paris (AP-HP), Hôpital Necker Enfants-Malades, Université de Paris, Paris, France.,Institut Necker-Enfants Malades (INEM), Institut national de la santé et de la recherche médicale (Inserm) U1151, Paris, France
| | - Elisa Laurenti
- Department of Haematology, University of Cambridge, Cambridge, UK.,Wellcome and MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK
| | - Jonathan Bond
- Systems Biology Ireland, School of Medicine, University College Dublin, Dublin, Ireland.,National Children's Research Centre, Dublin, Ireland.,Children's Health Ireland at Crumlin, Dublin, Ireland
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29
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Werlen G, Jain R, Jacinto E. MTOR Signaling and Metabolism in Early T Cell Development. Genes (Basel) 2021; 12:genes12050728. [PMID: 34068092 PMCID: PMC8152735 DOI: 10.3390/genes12050728] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Revised: 05/10/2021] [Accepted: 05/10/2021] [Indexed: 12/12/2022] Open
Abstract
The mechanistic target of rapamycin (mTOR) controls cell fate and responses via its functions in regulating metabolism. Its role in controlling immunity was unraveled by early studies on the immunosuppressive properties of rapamycin. Recent studies have provided insights on how metabolic reprogramming and mTOR signaling impact peripheral T cell activation and fate. The contribution of mTOR and metabolism during early T-cell development in the thymus is also emerging and is the subject of this review. Two major T lineages with distinct immune functions and peripheral homing organs diverge during early thymic development; the αβ- and γδ-T cells, which are defined by their respective TCR subunits. Thymic T-regulatory cells, which have immunosuppressive functions, also develop in the thymus from positively selected αβ-T cells. Here, we review recent findings on how the two mTOR protein complexes, mTORC1 and mTORC2, and the signaling molecules involved in the mTOR pathway are involved in thymocyte differentiation. We discuss emerging views on how metabolic remodeling impacts early T cell development and how this can be mediated via mTOR signaling.
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30
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Belver L, Albero R, Ferrando AA. Deregulation of enhancer structure, function, and dynamics in acute lymphoblastic leukemia. Trends Immunol 2021; 42:418-431. [PMID: 33858773 PMCID: PMC8091164 DOI: 10.1016/j.it.2021.03.005] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Revised: 03/09/2021] [Accepted: 03/10/2021] [Indexed: 12/25/2022]
Abstract
Enhancers control dynamic changes in gene expression and orchestrate the tightly controlled transcriptional circuitries that direct and coordinate cell growth, proliferation, survival, lineage commitment, and differentiation during lymphoid development. Enhancer hijacking and neoenhancer formation at oncogene loci, as well as aberrant activation of oncogene-associated enhancers, can induce constitutive activation of self-perpetuating oncogenic transcriptional circuitries, and contribute to the malignant transformation of immature lymphoid progenitors in acute lymphoblastic leukemia (ALL). In this review, we present recent discoveries of the role of enhancer dynamics in mouse and human lymphoid development, and discuss how genetic and epigenetic alterations of enhancer function can promote leukemogenesis, and potential strategies for targeting the enhancer machinery in the treatment of ALL.
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Affiliation(s)
- Laura Belver
- Institute for Cancer Genetics, Columbia University, New York, NY, 10032, USA; Josep Carreras Leukaemia Research Institute, Badalona, Barcelona, 08916, Spain
| | - Robert Albero
- Institute for Cancer Genetics, Columbia University, New York, NY, 10032, USA
| | - Adolfo A Ferrando
- Institute for Cancer Genetics, Columbia University, New York, NY, 10032, USA; Department of Systems Biology, Columbia University, New York, NY, 10032, USA; Department of Pediatrics, Columbia University Medical Center, New York, NY, 10032, USA; Department of Pathology, Columbia University Medical Center, New York, NY, 10032, USA.
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31
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Sidwell T, Rothenberg EV. Epigenetic Dynamics in the Function of T-Lineage Regulatory Factor Bcl11b. Front Immunol 2021; 12:669498. [PMID: 33936112 PMCID: PMC8079813 DOI: 10.3389/fimmu.2021.669498] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Accepted: 03/23/2021] [Indexed: 11/18/2022] Open
Abstract
The transcription factor Bcl11b is critically required to support the development of diverse cell types, including T lymphocytes, type 2 innate lymphoid cells, neurons, craniofacial mesenchyme and keratinocytes. Although in T cell development its onset of expression is tightly linked to T-lymphoid lineage commitment, the Bcl11b protein in fact regulates substantially different sets of genes in different lymphocyte populations, playing strongly context-dependent roles. Somewhat unusually for lineage-defining transcription factors with site-specific DNA binding activity, much of the reported chromatin binding of Bcl11b appears to be indirect, or guided in large part by interactions with other transcription factors. We describe evidence suggesting that a further way in which Bcl11b exerts such distinct stage-dependent functions is by nucleating changes in regional suites of epigenetic modifications through recruitment of multiple families of chromatin-modifying enzyme complexes. Herein we explore what is - and what remains to be - understood of the roles of Bcl11b, its cofactors, and how it modifies the epigenetic state of the cell to enforce its diverse set of context-specific transcriptional and developmental programs.
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Affiliation(s)
- Tom Sidwell
- Division of Biology & Biological Engineering, California Institute of Technology, Pasadena, CA, United States
| | - Ellen V Rothenberg
- Division of Biology & Biological Engineering, California Institute of Technology, Pasadena, CA, United States
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32
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Drashansky TT, Helm EY, Curkovic N, Cooper J, Cheng P, Chen X, Gautam N, Meng L, Kwiatkowski AJ, Collins WO, Keselowsky BG, Sant'Angelo D, Huo Z, Zhang W, Zhou L, Avram D. BCL11B is positioned upstream of PLZF and RORγt to control thymic development of mucosal-associated invariant T cells and MAIT17 program. iScience 2021; 24:102307. [PMID: 33870128 PMCID: PMC8042176 DOI: 10.1016/j.isci.2021.102307] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Revised: 11/02/2020] [Accepted: 03/10/2021] [Indexed: 12/25/2022] Open
Abstract
Mucosal-associated invariant T (MAIT) cells recognize microbial riboflavin metabolites presented by MR1 and play role in immune responses to microbial infections and tumors. We report here that absence of the transcription factor (TF) Bcl11b in mice alters predominantly MAIT17 cells in the thymus and further in the lung, both at steady state and following Salmonella infection. Transcriptomics and ChIP-seq analyses show direct control of TCR signaling program and position BCL11B upstream of essential TFs of MAIT17 program, including RORγt, ZBTB16 (PLZF), and MAF. BCL11B binding at key MAIT17 and at TCR signaling program genes in human MAIT cells occurred mostly in regions enriched for H3K27Ac. Unexpectedly, in human MAIT cells, BCL11B also bound at MAIT1 program genes, at putative active enhancers, although this program was not affected in mouse MAIT cells in the absence of Bcl11b. These studies endorse BCL11B as an essential TF for MAIT cells both in mice and humans. BCL11B controls MAIT cell development in mice, predominantly MAIT17 lineage BCL11B sustains MAIT17 and TCR signaling programs at steady state and in infection BCL11B binds at MAIT17 and TCR program genes in human MAIT cells Many BCL11B binding sites at MAIT17 and TCR genes are at putative active enhancers
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Affiliation(s)
- Theodore T Drashansky
- Department of Anatomy and Cell Biology, College of Medicine, University of Florida, Gainesville, FL 32610, USA
| | - Eric Y Helm
- Department of Anatomy and Cell Biology, College of Medicine, University of Florida, Gainesville, FL 32610, USA
| | - Nina Curkovic
- Department of Anatomy and Cell Biology, College of Medicine, University of Florida, Gainesville, FL 32610, USA
| | - Jaimee Cooper
- Department of Anatomy and Cell Biology, College of Medicine, University of Florida, Gainesville, FL 32610, USA
| | - Pingyan Cheng
- Department of Immunology, H. Lee Moffitt Cancer Center and Research Institute, 12902 Magnolia Dr, Tampa, FL 33612, USA
| | - Xianghong Chen
- Department of Immunology, H. Lee Moffitt Cancer Center and Research Institute, 12902 Magnolia Dr, Tampa, FL 33612, USA
| | - Namrata Gautam
- Department of Immunology, H. Lee Moffitt Cancer Center and Research Institute, 12902 Magnolia Dr, Tampa, FL 33612, USA
| | - Lingsong Meng
- Department of Biostatistics, College of Medicine, College of Public Health & Health Professions, University of Florida, Gainesville, FL 32611, USA
| | - Alexander J Kwiatkowski
- J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL 32611, USA
| | - William O Collins
- Department of Otolaryngology, College of Medicine, University of Florida, Gainesville, FL 32605, USA
| | - Benjamin G Keselowsky
- J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL 32611, USA
| | - Derek Sant'Angelo
- Department of Pediatrics, The Child Health Institute of NJ, Robert Wood Johnson Medical School, New Brunswick, NJ 08903, USA
| | - Zhiguang Huo
- Department of Biostatistics, College of Medicine, College of Public Health & Health Professions, University of Florida, Gainesville, FL 32611, USA
| | - Weizhou Zhang
- Department of Pathology, Immunology and Laboratory Medicine, College of Medicine, University of Florida, Gainesville, FL 32610, USA.,UF Health Cancer Center, Gainesville, FL 32610, USA
| | - Liang Zhou
- UF Health Cancer Center, Gainesville, FL 32610, USA.,Department of Infectious Diseases and Immunology, College of Veterinary Medicine, University of Florida, Gainesville, FL 32608, USA
| | - Dorina Avram
- Department of Anatomy and Cell Biology, College of Medicine, University of Florida, Gainesville, FL 32610, USA.,Department of Immunology, H. Lee Moffitt Cancer Center and Research Institute, 12902 Magnolia Dr, Tampa, FL 33612, USA.,UF Health Cancer Center, Gainesville, FL 32610, USA
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33
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Rothenberg EV. Single-cell insights into the hematopoietic generation of T-lymphocyte precursors in mouse and human. Exp Hematol 2021; 95:1-12. [PMID: 33454362 PMCID: PMC8018899 DOI: 10.1016/j.exphem.2020.12.005] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2020] [Revised: 12/23/2020] [Accepted: 12/24/2020] [Indexed: 01/29/2023]
Abstract
T-Cell development is a major branch of lymphoid development and a key output of hematopoiesis, especially in early life, but the molecular requirements for T-cell potential have remained obscure. Considerable advances have now been made toward solving this problem through single-cell transcriptome studies, interfaced with in vitro differentiation assays that monitor potential efficiently at the single-cell level. This review focuses on a series of recent reports studying mouse and human early T-cell precursors, both in the developing fetus and in stringently purified postnatal samples of intrathymic and prethymic T-lineage precursors. Cross-comparison of results reveals a robustly conserved core program in mouse and human, but with some informative and provocative variations between species and between ontogenic states. Repeated findings are the multipotent progenitor regulatory signature of thymus-seeding cells and the proximity of the T-cell program to dendritic cell programs, especially to plasmacytoid dendritic cells in humans.
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Affiliation(s)
- Ellen V Rothenberg
- Division of Biology & Biological Engineering, California Institute of Technology, Pasadena, CA.
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34
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Tottone L, Lancho O, Loh JW, Singh A, Kimura S, Roels J, Kuchmiy A, Strubbe S, Lawlor MA, da Silva-Diz V, Luo S, Gachet S, García-Prieto CA, Hagelaar R, Esteller M, Meijerink JPP, Soulier J, Taghon T, Van Vlierberghe P, Mullighan CG, Khiabanian H, Rocha PP, Herranz D. A Tumor Suppressor Enhancer of PTEN in T-cell development and leukemia. Blood Cancer Discov 2020; 2:92-109. [PMID: 33458694 DOI: 10.1158/2643-3230.bcd-20-0201] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Long-range oncogenic enhancers play an important role in cancer. Yet, whether similar regulation of tumor suppressor genes is relevant remains unclear. Loss of expression of PTEN is associated with the pathogenesis of various cancers, including T-cell leukemia (T-ALL). Here, we identify a highly conserved distal enhancer (PE) that interacts with the PTEN promoter in multiple hematopoietic populations, including T-cells, and acts as a hub of relevant transcription factors in T-ALL. Consistently, loss of PE leads to reduced PTEN levels in T-ALL cells. Moreover, PE-null mice show reduced Pten levels in thymocytes and accelerated development of NOTCH1-induced T-ALL. Furthermore, secondary loss of PE in established leukemias leads to accelerated progression and a gene expression signature driven by Pten loss. Finally, we uncovered recurrent deletions encompassing PE in T-ALL, which are associated with decreased PTEN levels. Altogether, our results identify PE as the first long-range tumor suppressor enhancer directly implicated in cancer.
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Affiliation(s)
- Luca Tottone
- Rutgers Cancer Institute of New Jersey, Rutgers University, New Brunswick, New Jersey
| | - Olga Lancho
- Rutgers Cancer Institute of New Jersey, Rutgers University, New Brunswick, New Jersey
| | - Jui-Wan Loh
- Rutgers Cancer Institute of New Jersey, Rutgers University, New Brunswick, New Jersey
- Center for Systems and Computational Biology, Rutgers Cancer Institute of New Jersey, Rutgers University, New Brunswick, New Jersey
| | - Amartya Singh
- Rutgers Cancer Institute of New Jersey, Rutgers University, New Brunswick, New Jersey
- Center for Systems and Computational Biology, Rutgers Cancer Institute of New Jersey, Rutgers University, New Brunswick, New Jersey
| | - Shunsuke Kimura
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Juliette Roels
- Department of Biomolecular Medicine, Ghent University, Ghent, Belgium
- Cancer Research Institute Ghent (CRIG), Ghent University, Ghent, Belgium
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
| | - Anna Kuchmiy
- Cancer Research Institute Ghent (CRIG), Ghent University, Ghent, Belgium
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
| | - Steven Strubbe
- Cancer Research Institute Ghent (CRIG), Ghent University, Ghent, Belgium
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
| | - Matthew A Lawlor
- Rutgers Cancer Institute of New Jersey, Rutgers University, New Brunswick, New Jersey
| | - Victoria da Silva-Diz
- Rutgers Cancer Institute of New Jersey, Rutgers University, New Brunswick, New Jersey
| | - Shirley Luo
- Rutgers Cancer Institute of New Jersey, Rutgers University, New Brunswick, New Jersey
| | - Stéphanie Gachet
- INSERM U944 and University de Paris, Hopital Saint-Louis, Paris, France
| | - Carlos A García-Prieto
- Josep Carreras Leukaemia Research Institute (IJC), Badalona, Barcelona, Catalonia, Spain
- Barcelona Supercomputing Center (BSC), Barcelona, Catalonia, Spain
| | - Rico Hagelaar
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
| | - Manel Esteller
- Josep Carreras Leukaemia Research Institute (IJC), Badalona, Barcelona, Catalonia, Spain
- Centro de Investigación Biomédica en Red de Cancer (CIBERONC), Madrid, Spain
- Physiological Sciences Department, School of Medicine and Health Sciences, University of Barcelona (UB), Barcelona, Catalonia, Spain
- Institucio Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Catalonia, Spain
| | | | - Jean Soulier
- INSERM U944 and University de Paris, Hopital Saint-Louis, Paris, France
| | - Tom Taghon
- Cancer Research Institute Ghent (CRIG), Ghent University, Ghent, Belgium
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
| | - Pieter Van Vlierberghe
- Department of Biomolecular Medicine, Ghent University, Ghent, Belgium
- Cancer Research Institute Ghent (CRIG), Ghent University, Ghent, Belgium
| | - Charles G Mullighan
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Hossein Khiabanian
- Rutgers Cancer Institute of New Jersey, Rutgers University, New Brunswick, New Jersey
- Center for Systems and Computational Biology, Rutgers Cancer Institute of New Jersey, Rutgers University, New Brunswick, New Jersey
- Department of Pathology and Laboratory Medicine, Rutgers Robert Wood Johnson Medical School, Rutgers University, New Brunswick, New Jersey
| | - Pedro P Rocha
- Unit on Genome Structure and Regulation, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland
- National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Daniel Herranz
- Rutgers Cancer Institute of New Jersey, Rutgers University, New Brunswick, New Jersey.
- Department of Pharmacology, Robert Wood Johnson Medical School, Rutgers University, Piscataway, New Jersey
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35
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Roels J, Thénoz M, Szarzyńska B, Landfors M, De Coninck S, Demoen L, Provez L, Kuchmiy A, Strubbe S, Reunes L, Pieters T, Matthijssens F, Van Loocke W, Erarslan-Uysal B, Richter-Pechańska P, Declerck K, Lammens T, De Moerloose B, Deforce D, Van Nieuwerburgh F, Cheung LC, Kotecha RS, Mansour MR, Ghesquière B, Van Camp G, Berghe WV, Kowalczyk JR, Szczepański T, Davé UP, Kulozik AE, Goossens S, Curtis DJ, Taghon T, Dawidowska M, Degerman S, Van Vlierberghe P. Aging of preleukemic thymocytes drives CpG island hypermethylation in T-cell acute lymphoblastic leukemia. Blood Cancer Discov 2020; 1:274-289. [PMID: 33179015 PMCID: PMC7116343 DOI: 10.1158/2643-3230.bcd-20-0059] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2020] [Revised: 08/06/2020] [Accepted: 09/15/2020] [Indexed: 12/20/2022] Open
Abstract
Cancer cells display DNA hypermethylation at specific CpG islands in comparison to their normal healthy counterparts, but the mechanism that drives this so-called CpG island methylator phenotype (CIMP) remains poorly understood. Here, we show that CpG island methylation in human T-cell acute lymphoblastic leukemia (T-ALL) mainly occurs at promoters of Polycomb Repressor Complex 2 (PRC2) target genes that are not expressed in normal or malignant T-cells and which display a reciprocal association with H3K27me3 binding. In addition, we revealed that this aberrant methylation profile reflects the epigenetic history of T-ALL and is established already in pre-leukemic, self-renewing thymocytes that precede T-ALL development. Finally, we unexpectedly uncover that this age-related CpG island hypermethylation signature in T-ALL is completely resistant to the FDA-approved hypomethylating agent Decitabine. Altogether, we here provide conceptual evidence for the involvement of a pre-leukemic phase characterized by self-renewing thymocytes in the pathogenesis of human T-ALL.
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Affiliation(s)
- Juliette Roels
- Department of Biomolecular Medicine, Ghent University, Ghent, Belgium
- Cancer Research Institute Ghent (CRIG), Ghent, Belgium
| | - Morgan Thénoz
- Department of Biomolecular Medicine, Ghent University, Ghent, Belgium
- Cancer Research Institute Ghent (CRIG), Ghent, Belgium
| | | | - Mattias Landfors
- Department of Medical Biosciences, Umeå University, Umeå, Sweden
| | - Stien De Coninck
- Department of Biomolecular Medicine, Ghent University, Ghent, Belgium
- Cancer Research Institute Ghent (CRIG), Ghent, Belgium
| | - Lisa Demoen
- Department of Biomolecular Medicine, Ghent University, Ghent, Belgium
- Cancer Research Institute Ghent (CRIG), Ghent, Belgium
| | - Lien Provez
- Department of Biomolecular Medicine, Ghent University, Ghent, Belgium
- Cancer Research Institute Ghent (CRIG), Ghent, Belgium
| | - Anna Kuchmiy
- Cancer Research Institute Ghent (CRIG), Ghent, Belgium
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
| | - Steven Strubbe
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
| | - Lindy Reunes
- Department of Biomolecular Medicine, Ghent University, Ghent, Belgium
- Cancer Research Institute Ghent (CRIG), Ghent, Belgium
| | - Tim Pieters
- Department of Biomolecular Medicine, Ghent University, Ghent, Belgium
- Cancer Research Institute Ghent (CRIG), Ghent, Belgium
| | - Filip Matthijssens
- Department of Biomolecular Medicine, Ghent University, Ghent, Belgium
- Cancer Research Institute Ghent (CRIG), Ghent, Belgium
| | - Wouter Van Loocke
- Department of Biomolecular Medicine, Ghent University, Ghent, Belgium
- Cancer Research Institute Ghent (CRIG), Ghent, Belgium
| | - Büşra Erarslan-Uysal
- Department of Pediatric Oncology, Hematology, and Immunology, University of Heidelberg, and Hopp Children's Cancer Center at NCT Heidelberg, Heidelberg, Germany
- Molecular Medicine Partnership Unit (MMPU), European Molecular Biology Laboratory (EMBL), University of Heidelberg, Heidelberg, Germany
| | - Paulina Richter-Pechańska
- Department of Pediatric Oncology, Hematology, and Immunology, University of Heidelberg, and Hopp Children's Cancer Center at NCT Heidelberg, Heidelberg, Germany
- Molecular Medicine Partnership Unit (MMPU), European Molecular Biology Laboratory (EMBL), University of Heidelberg, Heidelberg, Germany
| | - Ken Declerck
- Laboratory of Protein Chemistry, Proteomics and Epigenetic Signaling (PPES) and Integrated Personalized and Precision Oncology Network (IPPON), Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
| | - Tim Lammens
- Cancer Research Institute Ghent (CRIG), Ghent, Belgium
- Department of Pediatric Hematology-Oncology and Stem Cell Transplantation, Ghent University Hospital, Ghent, Belgium
| | - Barbara De Moerloose
- Cancer Research Institute Ghent (CRIG), Ghent, Belgium
- Department of Pediatric Hematology-Oncology and Stem Cell Transplantation, Ghent University Hospital, Ghent, Belgium
| | - Dieter Deforce
- Laboratory of Pharmaceutical Biotechnology, Ghent University, Ghent, Belgium
| | | | - Laurence C Cheung
- Telethon Kids Cancer Centre, Telethon Kids Institute, University of Western Australia, Perth, Western Australia
- School of Pharmacy and Biomedical Sciences, Curtin University, Perth, Western Australia
| | - Rishi S Kotecha
- Telethon Kids Cancer Centre, Telethon Kids Institute, University of Western Australia, Perth, Western Australia
- School of Pharmacy and Biomedical Sciences, Curtin University, Perth, Western Australia
| | - Marc R Mansour
- Department of Haematology, University College London Cancer Institute, London, England
| | - Bart Ghesquière
- Metabolomics Expertise Center, VIB Center for Cancer Biology, Leuven, Belgium
| | - Guy Van Camp
- Center of Medical Genetics, University of Antwerp, Antwerp, Belgium
| | - Wim Vanden Berghe
- Laboratory of Protein Chemistry, Proteomics and Epigenetic Signaling (PPES) and Integrated Personalized and Precision Oncology Network (IPPON), Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
| | - Jerzy R Kowalczyk
- Department of Pediatric Hematology, Oncology and Transplantology, Medical University of Lublin, Lublin, Poland
| | - Tomasz Szczepański
- Department of Pediatric Hematology and Oncology, Zabrze, Medical University of Silesia, Katowice, Poland
| | - Utpal P Davé
- Roudebush Veterans Affairs Medical Center and Indiana University School of Medicine, Indianapolis, Indiana
| | - Andreas E Kulozik
- Department of Pediatric Oncology, Hematology, and Immunology, University of Heidelberg, and Hopp Children's Cancer Center at NCT Heidelberg, Heidelberg, Germany
- Molecular Medicine Partnership Unit (MMPU), European Molecular Biology Laboratory (EMBL), University of Heidelberg, Heidelberg, Germany
| | - Steven Goossens
- Department of Biomolecular Medicine, Ghent University, Ghent, Belgium
- Cancer Research Institute Ghent (CRIG), Ghent, Belgium
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
| | - David J Curtis
- Australian Centre for Blood Diseases (ACBD), Monash University, Melbourne, Australia
| | - Tom Taghon
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
| | | | - Sofie Degerman
- Department of Medical Biosciences, Umeå University, Umeå, Sweden
- Department of Clinical Microbiology, Umeå University, Umeå, Sweden
| | - Pieter Van Vlierberghe
- Department of Biomolecular Medicine, Ghent University, Ghent, Belgium.
- Cancer Research Institute Ghent (CRIG), Ghent, Belgium
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