1
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Steier Z, Aylard DA, McIntyre LL, Baldwin I, Kim EJY, Lutes LK, Ergen C, Huang TS, Robey EA, Yosef N, Streets A. Single-cell multiomic analysis of thymocyte development reveals drivers of CD4 + T cell and CD8 + T cell lineage commitment. Nat Immunol 2023; 24:1579-1590. [PMID: 37580604 PMCID: PMC10457207 DOI: 10.1038/s41590-023-01584-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2021] [Accepted: 07/12/2023] [Indexed: 08/16/2023]
Abstract
The development of CD4+ T cells and CD8+ T cells in the thymus is critical to adaptive immunity and is widely studied as a model of lineage commitment. Recognition of self-peptide major histocompatibility complex (MHC) class I or II by the T cell antigen receptor (TCR) determines the CD8+ or CD4+ T cell lineage choice, respectively, but how distinct TCR signals drive transcriptional programs of lineage commitment remains largely unknown. Here we applied CITE-seq to measure RNA and surface proteins in thymocytes from wild-type and T cell lineage-restricted mice to generate a comprehensive timeline of cell states for each T cell lineage. These analyses identified a sequential process whereby all thymocytes initiate CD4+ T cell lineage differentiation during a first wave of TCR signaling, followed by a second TCR signaling wave that coincides with CD8+ T cell lineage specification. CITE-seq and pharmaceutical inhibition experiments implicated a TCR-calcineurin-NFAT-GATA3 axis in driving the CD4+ T cell fate. Our data provide a resource for understanding cell fate decisions and implicate a sequential selection process in guiding lineage choice.
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Affiliation(s)
- Zoë Steier
- University of California, Berkeley, Department of Bioengineering, Berkeley, CA, USA
- UC Berkeley - UCSF Graduate Program in Bioengineering, Berkeley and San Francisco, CA, USA
- University of California, Berkeley, Center for Computational Biology, Berkeley, CA, USA
- Massachusetts Institute of Technology, Institute for Medical Engineering and Science, Cambridge, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA, USA
| | - Dominik A Aylard
- University of California, Berkeley, Division of Immunology and Molecular Medicine, Department of Molecular and Cell Biology, Berkeley, CA, USA
| | - Laura L McIntyre
- University of California, Berkeley, Division of Immunology and Molecular Medicine, Department of Molecular and Cell Biology, Berkeley, CA, USA
| | - Isabel Baldwin
- University of California, Berkeley, Division of Immunology and Molecular Medicine, Department of Molecular and Cell Biology, Berkeley, CA, USA
| | - Esther Jeong Yoon Kim
- University of California, Berkeley, Division of Immunology and Molecular Medicine, Department of Molecular and Cell Biology, Berkeley, CA, USA
| | - Lydia K Lutes
- University of California, Berkeley, Division of Immunology and Molecular Medicine, Department of Molecular and Cell Biology, Berkeley, CA, USA
| | - Can Ergen
- University of California, Berkeley, Center for Computational Biology, Berkeley, CA, USA
- University of California, Berkeley, Department of Electrical Engineering and Computer Sciences, Berkeley, CA, USA
| | | | - Ellen A Robey
- University of California, Berkeley, Division of Immunology and Molecular Medicine, Department of Molecular and Cell Biology, Berkeley, CA, USA.
| | - Nir Yosef
- University of California, Berkeley, Center for Computational Biology, Berkeley, CA, USA.
- University of California, Berkeley, Department of Electrical Engineering and Computer Sciences, Berkeley, CA, USA.
- Weizmann Institute of Science, Department of Systems Immunology, Rehovot, Israel.
| | - Aaron Streets
- University of California, Berkeley, Department of Bioengineering, Berkeley, CA, USA.
- UC Berkeley - UCSF Graduate Program in Bioengineering, Berkeley and San Francisco, CA, USA.
- University of California, Berkeley, Center for Computational Biology, Berkeley, CA, USA.
- Chan Zuckerberg Biohub - San Francisco, San Francisco, CA, USA.
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2
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Siwczak F, Hiller C, Pfannkuche H, Schneider MR. Culture of vibrating microtome tissue slices as a 3D model in biomedical research. J Biol Eng 2023; 17:36. [PMID: 37264444 DOI: 10.1186/s13036-023-00357-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Accepted: 05/21/2023] [Indexed: 06/03/2023] Open
Abstract
The basic idea behind the use of 3-dimensional (3D) tools in biomedical research is the assumption that the structures under study will perform at the best in vitro if cultivated in an environment that is as similar as possible to their natural in vivo embedding. Tissue slicing fulfills this premise optimally: it is an accessible, unexpensive, imaging-friendly, and technically rather simple procedure which largely preserves the extracellular matrix and includes all or at least most supportive cell types in the correct tissue architecture with little cellular damage. Vibrating microtomes (vibratomes) can further improve the quality of the generated slices because of the lateral, saw-like movement of the blade, which significantly reduces tissue pulling or tearing compared to a straight cut. In spite of its obvious advantages, vibrating microtome slices are rather underrepresented in the current discussion on 3D tools, which is dominated by methods as organoids, organ-on-chip and bioprinting. Here, we review the development of vibrating microtome tissue slices, the major technical features underlying its application, as well as its current use and potential advances, such as a combination with novel microfluidic culture chambers. Once fully integrated into the 3D toolbox, tissue slices may significantly contribute to decrease the use of laboratory animals and is likely to have a strong impact on basic and translational research as well as drug screening.
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Affiliation(s)
- Fatina Siwczak
- Institute of Veterinary Physiology, University of Leipzig, An den Tierkliniken 7, 04103, Leipzig, Germany
| | - Charlotte Hiller
- Institute of Veterinary Physiology, University of Leipzig, An den Tierkliniken 7, 04103, Leipzig, Germany
| | - Helga Pfannkuche
- Institute of Veterinary Physiology, University of Leipzig, An den Tierkliniken 7, 04103, Leipzig, Germany
| | - Marlon R Schneider
- Institute of Veterinary Physiology, University of Leipzig, An den Tierkliniken 7, 04103, Leipzig, Germany.
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3
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Khosravi-Maharlooei M, Madley R, Borsotti C, Ferreira LMR, Sharp RC, Brehm MA, Greiner DL, Parent AV, Anderson MS, Sykes M, Creusot RJ. Modeling human T1D-associated autoimmune processes. Mol Metab 2022; 56:101417. [PMID: 34902607 PMCID: PMC8739876 DOI: 10.1016/j.molmet.2021.101417] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Revised: 11/19/2021] [Accepted: 12/07/2021] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Type 1 diabetes (T1D) is an autoimmune disease characterized by impaired immune tolerance to β-cell antigens and progressive destruction of insulin-producing β-cells. Animal models have provided valuable insights for understanding the etiology and pathogenesis of this disease, but they fall short of reflecting the extensive heterogeneity of the disease in humans, which is contributed by various combinations of risk gene alleles and unique environmental factors. Collectively, these factors have been used to define subgroups of patients, termed endotypes, with distinct predominating disease characteristics. SCOPE OF REVIEW Here, we review the gaps filled by these models in understanding the intricate involvement and regulation of the immune system in human T1D pathogenesis. We describe the various models developed so far and the scientific questions that have been addressed using them. Finally, we discuss the limitations of these models, primarily ascribed to hosting a human immune system (HIS) in a xenogeneic recipient, and what remains to be done to improve their physiological relevance. MAJOR CONCLUSIONS To understand the role of genetic and environmental factors or evaluate immune-modifying therapies in humans, it is critical to develop and apply models in which human cells can be manipulated and their functions studied under conditions that recapitulate as closely as possible the physiological conditions of the human body. While microphysiological systems and living tissue slices provide some of these conditions, HIS mice enable more extensive analyses using in vivo systems.
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Affiliation(s)
- Mohsen Khosravi-Maharlooei
- Columbia Center for Translational Immunology, Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | - Rachel Madley
- Columbia Center for Translational Immunology, Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | - Chiara Borsotti
- Department of Health Sciences, Histology laboratory, Università del Piemonte Orientale, Novara, Italy
| | - Leonardo M R Ferreira
- Departments of Microbiology & Immunology, and Regenerative Medicine & Cell Biology, Hollings Cancer Center, Medical University of South Carolina, Charleston, SC, USA
| | - Robert C Sharp
- Department of Pathology, Immunology and Laboratory Medicine, University of Florida College of Medicine, Gainesville, FL, USA
| | - Michael A Brehm
- Program in Molecular Medicine, Diabetes Center of Excellence, University of Massachusetts Medical School, Worcester, MA, USA
| | - Dale L Greiner
- Program in Molecular Medicine, Diabetes Center of Excellence, University of Massachusetts Medical School, Worcester, MA, USA
| | - Audrey V Parent
- Diabetes Center, University of California San Francisco, San Francisco, CA, USA
| | - Mark S Anderson
- Diabetes Center, University of California San Francisco, San Francisco, CA, USA
| | - Megan Sykes
- Columbia Center for Translational Immunology, Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | - Remi J Creusot
- Columbia Center for Translational Immunology, Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA.
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4
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Dong M, Chang J, Lebel MÈ, Gervais N, Fournier M, Mallet Gauthier È, Suh WK, Melichar HJ. The ICOS-ICOSL pathway tunes thymic selection. Immunol Cell Biol 2021; 100:205-217. [PMID: 34962663 PMCID: PMC9304562 DOI: 10.1111/imcb.12520] [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: 08/29/2021] [Revised: 12/11/2021] [Accepted: 12/27/2021] [Indexed: 11/30/2022]
Abstract
Negative selection of developing T cells plays a significant role in T cell tolerance to self-antigen. This process relies on thymic antigen presenting cells which express both self-antigens as well as co-signaling molecules. Inducible T cell costimulator (ICOS) belongs to the CD28 family of co-signaling molecules and binds to ICOS ligand (ICOSL). The ICOS signaling pathway plays important roles in shaping the immune response to infections, but its role in central tolerance is less well understood. Here we show that ICOSL is expressed by subsets of thymic dendritic cells and medullary thymic epithelial cells as well as thymic B cells. ICOS expression is upregulated as T cells mature in the thymus and correlates with T cell receptor signal strength during thymic selection. We also provide evidence of a role for ICOS signaling in mediating negative selection. Our findings suggest that ICOS may fine-tune T cell receptor signals during thymic selection contributing to the generation of a tolerant T cell population.
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Affiliation(s)
- Mengqi Dong
- Département de microbiologie, Université de Montréal, infectiologie et immunologie, Montréal, Québec, H3T 1J4, Canada.,Immunology-Oncology Unit, Maisonneuve-Rosemont Hospital Research Center, Montréal, Québec, H1T 2M4, Canada
| | - Jinsam Chang
- Institut de recherches cliniques de Montréal, Montréal, Québec, H2W 1R7, Canada.,Programme de biologie moléculaire, Université de Montréal, Montréal, Québec, H3T 1J4, Canada
| | - Marie-Ève Lebel
- Immunology-Oncology Unit, Maisonneuve-Rosemont Hospital Research Center, Montréal, Québec, H1T 2M4, Canada
| | - Noémie Gervais
- Immunology-Oncology Unit, Maisonneuve-Rosemont Hospital Research Center, Montréal, Québec, H1T 2M4, Canada
| | - Marilaine Fournier
- Immunology-Oncology Unit, Maisonneuve-Rosemont Hospital Research Center, Montréal, Québec, H1T 2M4, Canada
| | - Ève Mallet Gauthier
- Département de microbiologie, Université de Montréal, infectiologie et immunologie, Montréal, Québec, H3T 1J4, Canada.,Immunology-Oncology Unit, Maisonneuve-Rosemont Hospital Research Center, Montréal, Québec, H1T 2M4, Canada
| | - Woong-Kyung Suh
- Département de microbiologie, Université de Montréal, infectiologie et immunologie, Montréal, Québec, H3T 1J4, Canada.,Institut de recherches cliniques de Montréal, Montréal, Québec, H2W 1R7, Canada.,Programme de biologie moléculaire, Université de Montréal, Montréal, Québec, H3T 1J4, Canada
| | - Heather J Melichar
- Immunology-Oncology Unit, Maisonneuve-Rosemont Hospital Research Center, Montréal, Québec, H1T 2M4, Canada.,Département de médecine, Université de Montréal, Montréal, Québec, H3T 1J4, Canada
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5
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Hammel JH, Cook SR, Belanger MC, Munson JM, Pompano RR. Modeling Immunity In Vitro: Slices, Chips, and Engineered Tissues. Annu Rev Biomed Eng 2021; 23:461-491. [PMID: 33872520 PMCID: PMC8277680 DOI: 10.1146/annurev-bioeng-082420-124920] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Modeling immunity in vitro has the potential to be a powerful tool for investigating fundamental biological questions, informing therapeutics and vaccines, and providing new insight into disease progression. There are two major elements to immunity that are necessary to model: primary immune tissues and peripheral tissues with immune components. Here, we systematically review progress made along three strategies to modeling immunity: ex vivo cultures, which preserve native tissue structure; microfluidic devices, which constitute a versatile approach to providing physiologically relevant fluid flow and environmental control; and engineered tissues, which provide precise control of the 3D microenvironment and biophysical cues. While many models focus on disease modeling, more primary immune tissue models are necessary to advance the field. Moving forward, we anticipate that the expansion of patient-specific models may inform why immunity varies from patient to patient and allow for the rapid comprehension and treatment of emerging diseases, such as coronavirus disease 2019.
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Affiliation(s)
- Jennifer H Hammel
- Fralin Biomedical Research Institute and Department of Biomedical Engineering and Mechanics, Virginia Tech, Roanoke, Virginia 24016, USA;
| | - Sophie R Cook
- Department of Chemistry, University of Virginia, Charlottesville, Virginia 22904, USA
| | - Maura C Belanger
- Department of Chemistry, University of Virginia, Charlottesville, Virginia 22904, USA
| | - Jennifer M Munson
- Fralin Biomedical Research Institute and Department of Biomedical Engineering and Mechanics, Virginia Tech, Roanoke, Virginia 24016, USA;
| | - Rebecca R Pompano
- Department of Chemistry, University of Virginia, Charlottesville, Virginia 22904, USA
- Department of Biomedical Engineering, University of Virginia, Charlottesville, Virginia 22904, USA;
- Carter Immunology Center and UVA Cancer Center, University of Virginia School of Medicine, Charlottesville, Virginia 22903, USA
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6
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Lutes LK, Steier Z, McIntyre LL, Pandey S, Kaminski J, Hoover AR, Ariotti S, Streets A, Yosef N, Robey EA. T cell self-reactivity during thymic development dictates the timing of positive selection. eLife 2021; 10:e65435. [PMID: 33884954 PMCID: PMC8116051 DOI: 10.7554/elife.65435] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Accepted: 04/21/2021] [Indexed: 12/14/2022] Open
Abstract
Functional tuning of T cells based on their degree of self-reactivity is established during positive selection in the thymus, although how positive selection differs for thymocytes with relatively low versus high self-reactivity is unclear. In addition, preselection thymocytes are highly sensitive to low-affinity ligands, but the mechanism underlying their enhanced T cell receptor (TCR) sensitivity is not fully understood. Here we show that murine thymocytes with low self-reactivity experience briefer TCR signals and complete positive selection more slowly than those with high self-reactivity. Additionally, we provide evidence that cells with low self-reactivity retain a preselection gene expression signature as they mature, including genes previously implicated in modulating TCR sensitivity and a novel group of ion channel genes. Our results imply that thymocytes with low self-reactivity downregulate TCR sensitivity more slowly during positive selection, and associate membrane ion channel expression with thymocyte self-reactivity and progress through positive selection.
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Affiliation(s)
- Lydia K Lutes
- Division of Immunology and Pathogenesis, Department of Molecular and Cell Biology, University of California, BerkeleyBerkeleyUnited States
| | - Zoë Steier
- Department of Bioengineering, University of California, BerkeleyBerkeleyUnited States
| | - Laura L McIntyre
- Division of Immunology and Pathogenesis, Department of Molecular and Cell Biology, University of California, BerkeleyBerkeleyUnited States
| | - Shraddha Pandey
- Division of Immunology and Pathogenesis, Department of Molecular and Cell Biology, University of California, BerkeleyBerkeleyUnited States
| | - James Kaminski
- Center for Computational Biology, University of California, BerkeleyBerkeleyUnited States
| | - Ashley R Hoover
- Division of Immunology and Pathogenesis, Department of Molecular and Cell Biology, University of California, BerkeleyBerkeleyUnited States
| | - Silvia Ariotti
- Division of Immunology and Pathogenesis, Department of Molecular and Cell Biology, University of California, BerkeleyBerkeleyUnited States
| | - Aaron Streets
- Department of Bioengineering, University of California, BerkeleyBerkeleyUnited States
- Center for Computational Biology, University of California, BerkeleyBerkeleyUnited States
- Chan Zuckerberg BiohubSan FranciscoUnited States
| | - Nir Yosef
- Department of Bioengineering, University of California, BerkeleyBerkeleyUnited States
- Center for Computational Biology, University of California, BerkeleyBerkeleyUnited States
- Chan Zuckerberg BiohubSan FranciscoUnited States
- Department of Electrical Engineering and Computer Sciences, University of California, BerkeleyBerkeleyUnited States
- Ragon Institute of MGH, MIT and HarvardCambridgeUnited States
| | - Ellen A Robey
- Division of Immunology and Pathogenesis, Department of Molecular and Cell Biology, University of California, BerkeleyBerkeleyUnited States
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7
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Belanger M, Ball AG, Catterton MA, Kinman AW, Anbaei P, Groff BD, Melchor SJ, Lukens JR, Ross AE, Pompano RR. Acute Lymph Node Slices Are a Functional Model System to Study Immunity Ex Vivo. ACS Pharmacol Transl Sci 2021; 4:128-142. [PMID: 33615167 PMCID: PMC7887751 DOI: 10.1021/acsptsci.0c00143] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Indexed: 02/07/2023]
Abstract
The lymph node is a highly organized and dynamic structure that is critical for facilitating the intercellular interactions that constitute adaptive immunity. Most ex vivo studies of the lymph node begin by reducing it to a cell suspension, thus losing the spatial organization, or fixing it, thus losing the ability to make repeated measurements. Live murine lymph node tissue slices offer the potential to retain spatial complexity and dynamic accessibility, but their viability, level of immune activation, and retention of antigen-specific functions have not been validated. Here we systematically characterized live murine lymph node slices as a platform to study immunity. Live lymph node slices maintained the expected spatial organization and cell populations while reflecting the 3D spatial complexity of the organ. Slices collected under optimized conditions were comparable to cell suspensions in terms of both 24-h viability and inflammation. Slices responded to T cell receptor cross-linking with increased surface marker expression and cytokine secretion, in some cases more strongly than matched lymphocyte cultures. Furthermore, slices processed protein antigens, and slices from vaccinated animals responded to ex vivo challenge with antigen-specific cytokine secretion. In summary, lymph node slices provide a versatile platform to investigate immune functions in spatially organized tissue, enabling well-defined stimulation, time-course analysis, and parallel read-outs.
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Affiliation(s)
- Maura
C. Belanger
- Department
of Chemistry, University of Virginia College
of Arts and Sciences, Charlottesville, Virginia 22904, United States
- Carter
Immunology Center, University of Virginia, Charlottesville, Virginia 22904, United States
| | - Alexander G. Ball
- Carter
Immunology Center, University of Virginia, Charlottesville, Virginia 22904, United States
- Department
of Microbiology, Immunology and Cancer Biology, University of Virginia School of Medicine, Charlottesville, Virginia 22904, United States
| | - Megan A. Catterton
- Department
of Chemistry, University of Virginia College
of Arts and Sciences, Charlottesville, Virginia 22904, United States
| | - Andrew W.L. Kinman
- Department
of Chemistry, University of Virginia College
of Arts and Sciences, Charlottesville, Virginia 22904, United States
| | - Parastoo Anbaei
- Department
of Chemistry, University of Virginia College
of Arts and Sciences, Charlottesville, Virginia 22904, United States
| | - Benjamin D. Groff
- Department
of Chemistry, University of Virginia College
of Arts and Sciences, Charlottesville, Virginia 22904, United States
| | - Stephanie J. Melchor
- Carter
Immunology Center, University of Virginia, Charlottesville, Virginia 22904, United States
- Department
of Microbiology, Immunology and Cancer Biology, University of Virginia School of Medicine, Charlottesville, Virginia 22904, United States
| | - John R. Lukens
- Carter
Immunology Center, University of Virginia, Charlottesville, Virginia 22904, United States
- Department
of Neuroscience and Center for Brain Immunology and Glia (BIG), University of Virginia School of Medicine, Charlottesville, Virginia 22904, United States
| | - Ashley E. Ross
- Department
of Chemistry, University of Cincinnati, Cincinnati, Ohio 45220, United States
| | - Rebecca R. Pompano
- Department
of Chemistry, University of Virginia College
of Arts and Sciences, Charlottesville, Virginia 22904, United States
- Carter
Immunology Center, University of Virginia, Charlottesville, Virginia 22904, United States
- Department
of Biomedical Engineering, University of
Virginia School of Engineering and Applied Sciences, Charlottesville, Virginia 22904, United States
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8
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Zhou TA, Hsu CL, Dzhagalov IL. Testing the Efficiency and Kinetics of Negative Selection Using Thymic Slices. Methods Mol Biol 2020; 2111:205-219. [PMID: 31933210 DOI: 10.1007/978-1-0716-0266-9_17] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Central tolerance is an efficient barrier to autoimmunity and negative selection of self-reactive thymocytes is one of its major manifestations. Because of its importance, negative selection has been studied extensively through numerous in vitro and in vivo approaches that have tremendously increased our understanding of the process. Recently, in situ experimental systems using thymus slices have been developed that combine some of the advantages of in vitro assays such as ease of manipulation and high throughput with the existence of three dimensional mature thymus microenvironment. These approaches offer unprecedented opportunity to study negative selection. Here, we describe how thymic slices can be used to measure the kinetics and magnitude of negative selection. Taking the OT-1/Ova system as an example, we provide detailed guidance on cutting thymic slices, labeling and overlaying thymocytes on them and reading out the extent of negative selection by flow cytometry. The system can easily be adapted to evaluate the effects of various mutations or treatments on negative selection or to study the behavior of different cells in the thymus through time-lapse imaging.
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Affiliation(s)
- Tyng-An Zhou
- Institute of Microbiology and Immunology, National Yang-Ming University, Taipei, Taiwan
| | - Chia-Lin Hsu
- Institute of Microbiology and Immunology, National Yang-Ming University, Taipei, Taiwan
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9
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Kurd NS, Lutes LK, Yoon J, Chan SW, Dzhagalov IL, Hoover AR, Robey EA. A role for phagocytosis in inducing cell death during thymocyte negative selection. eLife 2019; 8:48097. [PMID: 31868579 PMCID: PMC6957271 DOI: 10.7554/elife.48097] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2019] [Accepted: 12/21/2019] [Indexed: 12/11/2022] Open
Abstract
Autoreactive thymocytes are eliminated during negative selection in the thymus, a process important for establishing self-tolerance. Thymic phagocytes serve to remove dead thymocytes, but whether they play additional roles during negative selection remains unclear. Here, using a murine thymic slice model in which thymocytes undergo negative selection in situ, we demonstrate that phagocytosis promotes negative selection, and provide evidence for the escape of autoreactive CD8 T cells to the periphery when phagocytosis in the thymus is impaired. We also show that negative selection is more efficient when the phagocyte also presents the negative selecting peptide. Our findings support a model for negative selection in which the death process initiated following strong TCR signaling is facilitated by phagocytosis. Thus, the phagocytic capability of cells that present self-peptides is a key determinant of thymocyte fate.
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Affiliation(s)
- Nadia S Kurd
- Division of Immunology and Pathogenesis, Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, United States
| | - Lydia K Lutes
- Division of Immunology and Pathogenesis, Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, United States
| | - Jaewon Yoon
- Division of Immunology and Pathogenesis, Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, United States
| | - Shiao Wei Chan
- Division of Immunology and Pathogenesis, Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, United States
| | - Ivan L Dzhagalov
- Division of Immunology and Pathogenesis, Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, United States
| | - Ashley R Hoover
- Division of Immunology and Pathogenesis, Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, United States
| | - Ellen A Robey
- Division of Immunology and Pathogenesis, Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, United States
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10
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Apavaloaei A, Brochu S, Dong M, Rouette A, Hardy MP, Villafano G, Murata S, Melichar HJ, Perreault C. PSMB11 Orchestrates the Development of CD4 and CD8 Thymocytes via Regulation of Gene Expression in Cortical Thymic Epithelial Cells. THE JOURNAL OF IMMUNOLOGY 2018; 202:966-978. [PMID: 30567730 DOI: 10.4049/jimmunol.1801288] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/21/2018] [Accepted: 11/16/2018] [Indexed: 12/16/2022]
Abstract
T cell development depends on sequential interactions of thymocytes with cortical thymic epithelial cells (cTECs) and medullary thymic epithelial cells. PSMB11 is a catalytic proteasomal subunit present exclusively in cTECs. Because proteasomes regulate transcriptional activity, we asked whether PSMB11 might affect gene expression in cTECs. We report that PSMB11 regulates the expression of 850 cTEC genes that modulate lymphostromal interactions primarily via the WNT signaling pathway. cTECs from Psmb11 -/- mice 1) acquire features of medullary thymic epithelial cells and 2) retain CD8 thymocytes in the thymic cortex, thereby impairing phase 2 of positive selection, 3) perturbing CD8 T cell development, and 4) causing dramatic oxidative stress leading to apoptosis of CD8 thymocytes. Deletion of Psmb11 also causes major oxidative stress in CD4 thymocytes. However, CD4 thymocytes do not undergo apoptosis because, unlike CD8 thymocytes, they upregulate expression of chaperones and inhibitors of apoptosis. We conclude that PSMB11 has pervasive effects on both CD4 and CD8 thymocytes via regulation of gene expression in cTECs.
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Affiliation(s)
- Anca Apavaloaei
- Institute for Research in Immunology and Cancer, Montreal, Quebec H3C 3J7, Canada.,Department of Medicine, University of Montreal, Montreal, Quebec H3C 3J7, Canada
| | - Sylvie Brochu
- Institute for Research in Immunology and Cancer, Montreal, Quebec H3C 3J7, Canada
| | - Mengqi Dong
- Department of Medicine, University of Montreal, Montreal, Quebec H3C 3J7, Canada.,Maisonneuve-Rosemont Hospital Research Center, Montreal, Quebec H1T 2M4, Canada
| | - Alexandre Rouette
- Institute for Research in Immunology and Cancer, Montreal, Quebec H3C 3J7, Canada.,Department of Medicine, University of Montreal, Montreal, Quebec H3C 3J7, Canada
| | - Marie-Pierre Hardy
- Institute for Research in Immunology and Cancer, Montreal, Quebec H3C 3J7, Canada
| | - Geno Villafano
- Department of Molecular and Cell Biology, University of Connecticut, Storrs, CT 06269; and
| | - Shigeo Murata
- Graduate School of Pharmaceutical Sciences, University of Tokyo, Tokyo 113-0033, Japan
| | - Heather J Melichar
- Department of Medicine, University of Montreal, Montreal, Quebec H3C 3J7, Canada.,Maisonneuve-Rosemont Hospital Research Center, Montreal, Quebec H1T 2M4, Canada
| | - Claude Perreault
- Institute for Research in Immunology and Cancer, Montreal, Quebec H3C 3J7, Canada; .,Department of Medicine, University of Montreal, Montreal, Quebec H3C 3J7, Canada
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11
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Aghaallaei N, Bajoghli B. Making Thymus Visible: Understanding T-Cell Development from a New Perspective. Front Immunol 2018; 9:375. [PMID: 29552011 PMCID: PMC5840141 DOI: 10.3389/fimmu.2018.00375] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2017] [Accepted: 02/09/2018] [Indexed: 12/17/2022] Open
Abstract
T-cell development is coupled with a highly ordered migratory pattern. Lymphoid progenitors must follow a precise journey; starting from the hematopoietic tissue, they move toward the thymus and then migrate into and out of distinct thymic microenvironments, where they receive signals and cues required for their differentiation into naïve T-cells. Knowing where, when, and how these cells make directional “decisions” is key to understanding T-cell development. Such insights can be gained by directly observing developing T-cells within their environment under various conditions and following specific experimental manipulations. In the last decade, several model systems have been developed to address temporal and spatial aspects of T-cell development using imaging approaches. In this perspective article, we discuss the advantages and limitations of these systems and highlight a particularly powerful in vivo model that has been recently established. This model system enables the migratory behavior of all thymocytes to be studied simultaneously in a noninvasive and quantitative manner, making it possible to perform systems-level studies that reveal fundamental principles governing T-cell dynamics during development and in disease.
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Affiliation(s)
- Narges Aghaallaei
- Department of Hematology, Oncology, Immunology, Rheumatology and Pulmonology, University Hospital, University of Tübingen, Tübingen, Germany
| | - Baubak Bajoghli
- Department of Hematology, Oncology, Immunology, Rheumatology and Pulmonology, University Hospital, University of Tübingen, Tübingen, Germany
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12
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Ki S, Thyagarajan HM, Hu Z, Lancaster JN, Ehrlich LIR. EBI2 contributes to the induction of thymic central tolerance in mice by promoting rapid motility of medullary thymocytes. Eur J Immunol 2017; 47:1906-1917. [PMID: 28741728 DOI: 10.1002/eji.201747020] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2017] [Revised: 06/14/2017] [Accepted: 07/21/2017] [Indexed: 11/08/2022]
Abstract
Maturing thymocytes enter the thymic medulla, where they encounter numerous self-antigens presented by antigen presenting cells (APCs). Those thymocytes that are strongly self-reactive undergo either negative selection or diversion into the regulatory T-cell lineage. Although the majority of the proteome is expressed in the medulla, many self-antigens are expressed by only a minor fraction of medullary APCs; thus, thymocytes must efficiently enter the medulla and scan APCs to ensure central tolerance. Chemokine receptors promote lymphocyte migration, organization within tissues, and interactions with APCs in lymphoid organs. The chemokine receptor EBI2 governs localization of T cells, B cells, and dendritic cells (DCs) during immune responses in secondary lymphoid organs. However, the role of EBI2 in thymocyte development has not been elucidated. Here, we demonstrate that EBI2 is expressed by murine CD4+ single positive (CD4SP) thymocytes and thymic DCs. EBI2 deficiency alters the TCR repertoire, but does not grossly impact thymocyte cellularity or subset distribution. EBI2 deficiency also impairs negative selection of OT-II TCR transgenic thymocytes responding to an endogenous self-antigen. Two-photon imaging revealed that EBI2 deficiency results in reduced migration and impaired medullary accumulation of CD4SP thymocytes. These data identify a role for EBI2 in promoting efficient thymic central tolerance.
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Affiliation(s)
- Sanghee Ki
- Department of Molecular Biosciences, Institute for Cellular and Molecular Biology, The University of Texas at Austin, Austin, TX, USA
| | - Hiran M Thyagarajan
- Department of Molecular Biosciences, Institute for Cellular and Molecular Biology, The University of Texas at Austin, Austin, TX, USA
| | - Zicheng Hu
- Department of Molecular Biosciences, Institute for Cellular and Molecular Biology, The University of Texas at Austin, Austin, TX, USA
| | - Jessica N Lancaster
- Department of Molecular Biosciences, Institute for Cellular and Molecular Biology, The University of Texas at Austin, Austin, TX, USA
| | - Lauren I R Ehrlich
- Department of Molecular Biosciences, Institute for Cellular and Molecular Biology, The University of Texas at Austin, Austin, TX, USA
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Hu D, Han Z, Li C, Lv L, Cheng Z, Liu S. Florfenicol induces more severe hemotoxicity and immunotoxicity than equal doses of chloramphenicol and thiamphenicol in Kunming mice. Immunopharmacol Immunotoxicol 2016; 38:472-485. [PMID: 27788606 DOI: 10.1080/08923973.2016.1247853] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Amphenicols are effective, broad-spectrum antibiotics that function by inhibiting the peptidyl transferase activity of bacteria, while the drugs can also inhibit mitochondrial protein synthesis in eukaryotes through the same mechanism, which leads to multi-organ toxicity. Some side effects of each drug have been studied, while differences in the severity of the hemotoxicities and immunotoxicities of amphenicols have not been reported. Thus, it is important to identify, evaluate, and compare the potential hemotoxicities and immunotoxicities to guide their proper use in humans and animals, which will guarantee food safety and animal welfare. Ovalbumin-immunized Kunming mice were gavaged daily with amphenicols for seven days. Blood samples were collected for hematology analysis, and measuring anti-ovalbumin antibody levels and serum intereukin-2 concentrations. The bone marrow, spleen and thymus were collected for histopathology and apoptosis analyzes. Bone marrow nucleated cells (BMNCs) and splenocytes were harvested to determine their cell cycle stages and to analyze lymphocyte proliferation. The results demonstrated that amphenicols, especially florfenicol (FLO), induced cell cycle arrest and apoptosis of hematopoietic cells, and it changed the bone marrow hematopoietic microenvironment by decreasing the number of peripheral blood cells. Moreover, amphenicols, especially FLO, induced hypoplasia and atrophy of the spleen and thymus, induced cell cycle arrest, as well as splenocyte apoptosis, and decreased the proliferation and viability of lymphocytes and the humoral and cellular immunity of the treated mice. These results suggest that amphenicols induce hemotoxicity and immunotoxicity to some extent, and that FLO induces more severe toxicity than equal doses of chloramphenicol (CAP) and thiamphenicol (TAP).
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Affiliation(s)
- Dongfang Hu
- a Department of Animal Science and Technology , Shandong Agricultural University , Tai'an , Shandong , China
| | - Ziqiang Han
- a Department of Animal Science and Technology , Shandong Agricultural University , Tai'an , Shandong , China
| | - Chunling Li
- b Shandong Quality Inspection Center for Medical Devices , Ji'nan , Shandong , China
| | - Lin Lv
- a Department of Animal Science and Technology , Shandong Agricultural University , Tai'an , Shandong , China
| | - Zilong Cheng
- a Department of Animal Science and Technology , Shandong Agricultural University , Tai'an , Shandong , China
| | - Sidang Liu
- a Department of Animal Science and Technology , Shandong Agricultural University , Tai'an , Shandong , China
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