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Sengupta K, Dillard P, Limozin L. Morphodynamics of T-lymphocytes: Scanning to spreading. Biophys J 2024:S0006-3495(24)00157-7. [PMID: 38425041 DOI: 10.1016/j.bpj.2024.02.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 01/29/2024] [Accepted: 02/26/2024] [Indexed: 03/02/2024] Open
Abstract
Binding of the T cell receptor complex to its ligand, the subsequent molecular rearrangement, and the concomitant cell-scale shape changes represent the very first steps of adaptive immune recognition. The first minutes of the interaction of T cells and antigen presenting cells have been extensively scrutinized; yet, gaps remain in our understanding of how the biophysical properties of the environment may impact the sequence of events. In particular, many pioneering experiments were done on immobilized ligands and gave major insights into the process of T cell activation, whereas later experiments have indicated that ligand mobility was of paramount importance, especially to enable the formation of T cell receptor clusters. Systematic experiments to compare and reconcile the two schools are still lacking. Furthermore, recent investigations using compliant substrates have elucidated other intriguing aspects of T cell mechanics. Here we review experiments on interaction of T cells with planar artificial antigen presenting cells to explore the impact of mechanics on adhesion and actin morphodynamics during the spreading process. We enumerate a sequence tracing first contact to final spread state that is consistent with current understanding. Finally, we interpret the presented experimental results in light of a mechanical model that captures all the different morphodynamic states.
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Affiliation(s)
- Kheya Sengupta
- Aix-Marseille Université, CNRS, CINAM, Turing Centre for Living Systems, Marseille, France.
| | - Pierre Dillard
- Aix-Marseille Université, CNRS, CINAM, Turing Centre for Living Systems, Marseille, France; Aix-Marseille Université, CNRS, INSERM, LAI, Turing Centre for Living Systems, Marseille, France
| | - Laurent Limozin
- Aix-Marseille Université, CNRS, INSERM, LAI, Turing Centre for Living Systems, Marseille, France.
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2
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Manca F, Eich G, N'Dao O, Normand L, Sengupta K, Limozin L, Puech PH. Probing mechanical interaction of immune receptors and cytoskeleton by membrane nanotube extraction. Sci Rep 2023; 13:15652. [PMID: 37730849 PMCID: PMC10511455 DOI: 10.1038/s41598-023-42599-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Accepted: 09/12/2023] [Indexed: 09/22/2023] Open
Abstract
The role of force application in immune cell recognition is now well established, the force being transmitted between the actin cytoskeleton to the anchoring ligands through receptors such as integrins. In this chain, the mechanics of the cytoskeleton to receptor link, though clearly crucial, remains poorly understood. To probe this link, we combine mechanical extraction of membrane tubes from T cells using optical tweezers, and fitting of the resulting force curves with a viscoelastic model taking into account the cell and relevant molecules. We solicit this link using four different antibodies against various membrane bound receptors: antiCD3 to target the T Cell Receptor (TCR) complex, antiCD45 for the long sugar CD45, and two clones of antiCD11 targeting open or closed conformation of LFA1 integrins. Upon disruption of the cytoskeleton, the stiffness of the link changes for two of the receptors, exposing the existence of a receptor to cytoskeleton link-namely TCR-complex and open LFA1, and does not change for the other two where a weaker link was expected. Our integrated approach allows us to probe, for the first time, the mechanics of the intracellular receptor-cytoskeleton link in immune cells.
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Affiliation(s)
- Fabio Manca
- CNRS, INSERM, Laboratoire Adhesion et Inflammation (LAI), Aix Marseille University, 13009, Marseille, France.
- CNRS, Centre Interdisciplinaire de Nanoscience de Marseille (CINaM), Aix Marseille University, 13009, Marseille, France.
- Turing Center for Living Systems (CENTURI), 13009, Marseille, France.
| | - Gautier Eich
- CNRS, INSERM, Laboratoire Adhesion et Inflammation (LAI), Aix Marseille University, 13009, Marseille, France
| | - Omar N'Dao
- CNRS, INSERM, Laboratoire Adhesion et Inflammation (LAI), Aix Marseille University, 13009, Marseille, France
| | - Lucie Normand
- CNRS, INSERM, Laboratoire Adhesion et Inflammation (LAI), Aix Marseille University, 13009, Marseille, France
| | - Kheya Sengupta
- CNRS, Centre Interdisciplinaire de Nanoscience de Marseille (CINaM), Aix Marseille University, 13009, Marseille, France.
- Turing Center for Living Systems (CENTURI), 13009, Marseille, France.
| | - Laurent Limozin
- CNRS, INSERM, Laboratoire Adhesion et Inflammation (LAI), Aix Marseille University, 13009, Marseille, France.
- Turing Center for Living Systems (CENTURI), 13009, Marseille, France.
| | - Pierre-Henri Puech
- CNRS, INSERM, Laboratoire Adhesion et Inflammation (LAI), Aix Marseille University, 13009, Marseille, France.
- Turing Center for Living Systems (CENTURI), 13009, Marseille, France.
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3
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Ge W, Yue M, Lin R, Zhou T, Xu H, Wang Y, Mao T, Li S, Wu X, Zhang X, Wang Y, Ma J, Wang Y, Xue S, Shentu D, Cui J, Wang L. PLA2G2A + cancer-associated fibroblasts mediate pancreatic cancer immune escape via impeding antitumor immune response of CD8 + cytotoxic T cells. Cancer Lett 2023; 558:216095. [PMID: 36796670 DOI: 10.1016/j.canlet.2023.216095] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 02/08/2023] [Accepted: 02/11/2023] [Indexed: 02/16/2023]
Abstract
Our previous research defined a novel metabolic cancer associated fibroblasts subset (meCAFs) enriched in loose-type pancreatic ductal adenocarcinoma (PDAC) and related to CD8+ T cells accumulation. Consistently, the abundance of meCAFs was associated with poor prognosis but better immunotherapy responses in PDAC patients. However, the metabolic characteristic of meCAFs and its cross-talk with CD8+ T cells remain to be elucidated. In this study, we identified PLA2G2A as a marker of meCAFs. In particular, the abundance of PLA2G2A+ meCAFs was positively related to the accumulation of total CD8+ T cells and negatively correlated with clinical outcomes of PDAC patients and infiltration of intratumoral CD8+ T cells. We demonstrated that PLA2G2A+ meCAFs substantially attenuated the antitumor ability of tumor infiltrating CD8+ T cells and facilitated tumor immune escape in PDAC. Mechanistically, PLA2G2A regulated the function of CD8+ T cells as a pivotal soluble mediator via MAPK/Erk and NF-κB signaling pathways. In conclusion, our study identified the unrecognized role of PLA2G2A+ meCAFs in promoting tumor immune escape by impeding the antitumor immune function of CD8+ T cells, and strongly suggested PLA2G2A as a promising biomarker and therapeutic target for immunotherapy in PDAC.
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Affiliation(s)
- Weiyu Ge
- State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Department of Oncology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Ming Yue
- State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Department of Oncology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Ruirong Lin
- Department of Gastrointestinal Surgical Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fujian, Fuzhou, 350014, China
| | - Tianhao Zhou
- Key Laboratory of Breast Cancer Prevention and Treatment, Ministry of Education, National Clinical Research Center of Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Haiyan Xu
- State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Department of Oncology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Yu Wang
- State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Department of Oncology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China.
| | - Tiebo Mao
- State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Department of Oncology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Shumin Li
- State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Department of Oncology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Xiuqi Wu
- State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Department of Oncology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Xiaofei Zhang
- State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Department of Oncology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Yongchao Wang
- State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Department of Oncology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Jingyu Ma
- State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Department of Oncology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Yanling Wang
- State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Department of Oncology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Shengbai Xue
- State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Department of Oncology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Daiyuan Shentu
- State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Department of Oncology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Jiujie Cui
- State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Department of Oncology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China.
| | - Liwei Wang
- State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Department of Oncology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China.
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4
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Jenkins E, Körbel M, O'Brien-Ball C, McColl J, Chen KY, Kotowski M, Humphrey J, Lippert AH, Brouwer H, Santos AM, Lee SF, Davis SJ, Klenerman D. Antigen discrimination by T cells relies on size-constrained microvillar contact. Nat Commun 2023; 14:1611. [PMID: 36959206 PMCID: PMC10036606 DOI: 10.1038/s41467-023-36855-9] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Accepted: 02/21/2023] [Indexed: 03/25/2023] Open
Abstract
T cells use finger-like protrusions called 'microvilli' to interrogate their targets, but why they do so is unknown. To form contacts, T cells must overcome the highly charged, barrier-like layer of large molecules forming a target cell's glycocalyx. Here, T cells are observed to use microvilli to breach a model glycocalyx barrier, forming numerous small (<0.5 μm diameter) contacts each of which is stabilized by the small adhesive protein CD2 expressed by the T cell, and excludes large proteins including CD45, allowing sensitive, antigen dependent TCR signaling. In the absence of the glycocalyx or when microvillar contact-size is increased by enhancing CD2 expression, strong signaling occurs that is no longer antigen dependent. Our observations suggest that, modulated by the opposing effects of the target cell glycocalyx and small adhesive proteins, the use of microvilli equips T cells with the ability to effect discriminatory receptor signaling.
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Affiliation(s)
- Edward Jenkins
- Radcliffe Department of Medicine, John Radcliffe Hospital, University of Oxford, Oxford, OX3 9DS, UK
- Medical Research Council Human Immunology Unit, John Radcliffe Hospital, University of Oxford, Oxford, OX3 9DS, UK
| | - Markus Körbel
- Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, CB2 1EW, UK
| | - Caitlin O'Brien-Ball
- Radcliffe Department of Medicine, John Radcliffe Hospital, University of Oxford, Oxford, OX3 9DS, UK
- Medical Research Council Human Immunology Unit, John Radcliffe Hospital, University of Oxford, Oxford, OX3 9DS, UK
| | - James McColl
- Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, CB2 1EW, UK
| | - Kevin Y Chen
- Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, CB2 1EW, UK
| | - Mateusz Kotowski
- Radcliffe Department of Medicine, John Radcliffe Hospital, University of Oxford, Oxford, OX3 9DS, UK
- Medical Research Council Human Immunology Unit, John Radcliffe Hospital, University of Oxford, Oxford, OX3 9DS, UK
| | - Jane Humphrey
- Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, CB2 1EW, UK
| | - Anna H Lippert
- Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, CB2 1EW, UK
| | - Heather Brouwer
- Radcliffe Department of Medicine, John Radcliffe Hospital, University of Oxford, Oxford, OX3 9DS, UK
- Medical Research Council Human Immunology Unit, John Radcliffe Hospital, University of Oxford, Oxford, OX3 9DS, UK
| | - Ana Mafalda Santos
- Radcliffe Department of Medicine, John Radcliffe Hospital, University of Oxford, Oxford, OX3 9DS, UK
- Medical Research Council Human Immunology Unit, John Radcliffe Hospital, University of Oxford, Oxford, OX3 9DS, UK
| | - Steven F Lee
- Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, CB2 1EW, UK
| | - Simon J Davis
- Radcliffe Department of Medicine, John Radcliffe Hospital, University of Oxford, Oxford, OX3 9DS, UK.
- Medical Research Council Human Immunology Unit, John Radcliffe Hospital, University of Oxford, Oxford, OX3 9DS, UK.
| | - David Klenerman
- Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, CB2 1EW, UK.
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5
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Understanding How Cells Probe the World: A Preliminary Step towards Modeling Cell Behavior? Int J Mol Sci 2023; 24:ijms24032266. [PMID: 36768586 PMCID: PMC9916635 DOI: 10.3390/ijms24032266] [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: 12/19/2022] [Revised: 01/16/2023] [Accepted: 01/20/2023] [Indexed: 01/26/2023] Open
Abstract
Cell biologists have long aimed at quantitatively modeling cell function. Recently, the outstanding progress of high-throughput measurement methods and data processing tools has made this a realistic goal. The aim of this paper is twofold: First, to suggest that, while much progress has been done in modeling cell states and transitions, current accounts of environmental cues driving these transitions remain insufficient. There is a need to provide an integrated view of the biochemical, topographical and mechanical information processed by cells to take decisions. It might be rewarding in the near future to try to connect cell environmental cues to physiologically relevant outcomes rather than modeling relationships between these cues and internal signaling networks. The second aim of this paper is to review exogenous signals that are sensed by living cells and significantly influence fate decisions. Indeed, in addition to the composition of the surrounding medium, cells are highly sensitive to the properties of neighboring surfaces, including the spatial organization of anchored molecules and substrate mechanical and topographical properties. These properties should thus be included in models of cell behavior. It is also suggested that attempts at cell modeling could strongly benefit from two research lines: (i) trying to decipher the way cells encode the information they retrieve from environment analysis, and (ii) developing more standardized means of assessing the quality of proposed models, as was done in other research domains such as protein structure prediction.
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6
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Göhring J, Schrangl L, Schütz GJ, Huppa JB. Mechanosurveillance: Tiptoeing T Cells. Front Immunol 2022; 13:886328. [PMID: 35693808 PMCID: PMC9178122 DOI: 10.3389/fimmu.2022.886328] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Accepted: 04/19/2022] [Indexed: 11/28/2022] Open
Abstract
Efficient scanning of tissue that T cells encounter during their migratory life is pivotal to protective adaptive immunity. In fact, T cells can detect even a single antigenic peptide/MHC complex (pMHC) among thousands of structurally similar yet non-stimulatory endogenous pMHCs on the surface of antigen-presenting cells (APCs) or target cells. Of note, the glycocalyx of target cells, being composed of proteoglycans and bulky proteins, is bound to affect and even modulate antigen recognition by posing as a physical barrier. T cell-resident microvilli are actin-rich membrane protrusions that puncture through such barriers and thereby actively place the considerably smaller T-cell antigen receptors (TCRs) in close enough proximity to APC-presented pMHCs so that productive interactions may occur efficiently yet under force. We here review our current understanding of how the plasticity of T-cell microvilli and physicochemical properties of the glycocalyx may affect early events in T-cell activation. We assess insights gained from studies on T-cell plasma membrane ultrastructure and provide an update on current efforts to integrate biophysical aspects such as the amplitude and directionality of TCR-imposed mechanical forces and the distribution and lateral mobility of plasma membrane-resident signaling molecules into a more comprehensive view on sensitized T-cell antigen recognition.
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Affiliation(s)
- Janett Göhring
- Institute for Hygiene and Applied Immunology, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, Vienna, Austria
- Institute of Applied Physics, TU Wien, Vienna, Austria
- *Correspondence: Janett Göhring,
| | | | | | - Johannes B. Huppa
- Institute for Hygiene and Applied Immunology, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, Vienna, Austria
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7
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Puech PH, Bongrand P. Mechanotransduction as a major driver of cell behaviour: mechanisms, and relevance to cell organization and future research. Open Biol 2021; 11:210256. [PMID: 34753321 PMCID: PMC8586914 DOI: 10.1098/rsob.210256] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023] Open
Abstract
How do cells process environmental cues to make decisions? This simple question is still generating much experimental and theoretical work, at the border of physics, chemistry and biology, with strong implications in medicine. The purpose of mechanobiology is to understand how biochemical and physical cues are turned into signals through mechanotransduction. Here, we review recent evidence showing that (i) mechanotransduction plays a major role in triggering signalling cascades following cell-neighbourhood interaction; (ii) the cell capacity to continually generate forces, and biomolecule properties to undergo conformational changes in response to piconewton forces, provide a molecular basis for understanding mechanotransduction; and (iii) mechanotransduction shapes the guidance cues retrieved by living cells and the information flow they generate. This includes the temporal and spatial properties of intracellular signalling cascades. In conclusion, it is suggested that the described concepts may provide guidelines to define experimentally accessible parameters to describe cell structure and dynamics, as a prerequisite to take advantage of recent progress in high-throughput data gathering, computer simulation and artificial intelligence, in order to build a workable, hopefully predictive, account of cell signalling networks.
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Affiliation(s)
- Pierre-Henri Puech
- Lab Adhesion and Inflammation (LAI), Inserm UMR 1067, CNRS UMR 7333, Aix-Marseille Université UM61, Marseille, France
| | - Pierre Bongrand
- Lab Adhesion and Inflammation (LAI), Inserm UMR 1067, CNRS UMR 7333, Aix-Marseille Université UM61, Marseille, France
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8
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Imaging CAR T-cell kinetics in solid tumors: Translational implications. MOLECULAR THERAPY-ONCOLYTICS 2021; 22:355-367. [PMID: 34553024 PMCID: PMC8426175 DOI: 10.1016/j.omto.2021.06.006] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Accepted: 06/08/2021] [Indexed: 01/22/2023]
Abstract
Success in solid tumor chimeric antigen receptor (CAR) T-cell therapy requires overcoming several barriers, including lung sequestration, inefficient accumulation within the tumor, and target-antigen heterogeneity. Understanding CAR T-cell kinetics can assist in the interpretation of therapy response and limitations and thereby facilitate developing successful strategies to treat solid tumors. As T-cell therapy response varies across metastatic sites, the assessment of CAR T-cell kinetics by peripheral blood analysis or a single-site tumor biopsy is inadequate for interpretation of therapy response. The use of tumor imaging alone has also proven to be insufficient to interpret response to therapy. To address these limitations, we conducted dual tumor and T-cell imaging by use of a bioluminescent reporter and positron emission tomography in clinically relevant mouse models of pleural mesothelioma and non-small cell lung cancer. We observed that the mode of delivery of T cells (systemic versus regional), T-cell activation status (presence or absence of antigen-expressing tumor), and tumor-antigen expression heterogeneity influence T-cell kinetics. The observations from our study underscore the need to identify and develop a T-cell reporter—in addition to standard parameters of tumor imaging and antitumor efficacy—that can be used for repeat imaging without compromising the efficacy of CAR T cells in vivo.
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9
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Göhring J, Kellner F, Schrangl L, Platzer R, Klotzsch E, Stockinger H, Huppa JB, Schütz GJ. Temporal analysis of T-cell receptor-imposed forces via quantitative single molecule FRET measurements. Nat Commun 2021; 12:2502. [PMID: 33947864 PMCID: PMC8096839 DOI: 10.1038/s41467-021-22775-z] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Accepted: 03/25/2021] [Indexed: 02/01/2023] Open
Abstract
Mechanical forces acting on ligand-engaged T-cell receptors (TCRs) have previously been implicated in T-cell antigen recognition, yet their magnitude, spread, and temporal behavior are still poorly defined. We here report a FRET-based sensor equipped either with a TCR-reactive single chain antibody fragment or peptide-loaded MHC, the physiological TCR-ligand. The sensor was tethered to planar glass-supported lipid bilayers (SLBs) and informed most directly on the magnitude and kinetics of TCR-imposed forces at the single molecule level. When confronting T-cells with gel-phase SLBs we observed both prior and upon T-cell activation a single, well-resolvable force-peak of approximately 5 pN and force loading rates on the TCR of 1.5 pN per second. When facing fluid-phase SLBs instead, T-cells still exerted tensile forces yet of threefold reduced magnitude and only prior to but not upon activation.
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Affiliation(s)
- Janett Göhring
- Institute for Hygiene and Applied Immunology, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, Vienna, Austria.,Institute of Applied Physics, TU Wien, Vienna, Austria
| | - Florian Kellner
- Institute for Hygiene and Applied Immunology, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, Vienna, Austria
| | | | - René Platzer
- Institute for Hygiene and Applied Immunology, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, Vienna, Austria
| | - Enrico Klotzsch
- Institute of Applied Physics, TU Wien, Vienna, Austria.,Laboratory of Applied Mechanobiology, Department for Health Sciences and Technology, ETH Zürich, Zürich, Switzerland.,Institute of Biology, Experimental Biophysics/ Mechanobiology, Humboldt Universität zu Berlin, Berlin, Germany
| | - Hannes Stockinger
- Institute for Hygiene and Applied Immunology, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, Vienna, Austria
| | - Johannes B Huppa
- Institute for Hygiene and Applied Immunology, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, Vienna, Austria.
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10
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Sadoun A, Biarnes-Pelicot M, Ghesquiere-Dierickx L, Wu A, Théodoly O, Limozin L, Hamon Y, Puech PH. Controlling T cells spreading, mechanics and activation by micropatterning. Sci Rep 2021; 11:6783. [PMID: 33762632 PMCID: PMC7991639 DOI: 10.1038/s41598-021-86133-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Accepted: 03/02/2021] [Indexed: 01/31/2023] Open
Abstract
We designed a strategy, based on a careful examination of the activation capabilities of proteins and antibodies used as substrates for adhering T cells, coupled to protein microstamping to control at the same time the position, shape, spreading, mechanics and activation state of T cells. Once adhered on patterns, we examined the capacities of T cells to be activated with soluble anti CD3, in comparison to T cells adhered to a continuously decorated substrate with the same density of ligands. We show that, in our hand, adhering onto an anti CD45 antibody decorated surface was not affecting T cell calcium fluxes, even adhered on variable size micro-patterns. Aside, we analyzed the T cell mechanics, when spread on pattern or not, using Atomic Force Microscopy indentation. By expressing MEGF10 as a non immune adhesion receptor in T cells we measured the very same spreading area on PLL substrates and Young modulus than non modified cells, immobilized on anti CD45 antibodies, while retaining similar activation capabilities using soluble anti CD3 antibodies or through model APC contacts. We propose that our system is a way to test activation or anergy of T cells with defined adhesion and mechanical characteristics, and may allow to dissect fine details of these mechanisms since it allows to observe homogenized populations in standardized T cell activation assays.
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Affiliation(s)
- Anaïs Sadoun
- grid.5399.60000 0001 2176 4817Adhesion and Inflammation Lab (LAI), Aix Marseille University, LAI UM 61, 13288 Marseille, France ,grid.457381.cAdhesion and Inflammation Lab (LAI), Inserm, UMR_S 1067, 13288 Marseille, France ,grid.4444.00000 0001 2112 9282Adhesion and Inflammation Lab (LAI), CNRS, UMR 7333, 13288 Marseille, France ,grid.5399.60000 0001 2176 4817Centre d’Immunologie de Marseille Luminy (CIML), Aix-Marseille University, CNRS, Inserm, CIML Marseille, 13288 Marseille, France
| | - Martine Biarnes-Pelicot
- grid.5399.60000 0001 2176 4817Adhesion and Inflammation Lab (LAI), Aix Marseille University, LAI UM 61, 13288 Marseille, France ,grid.457381.cAdhesion and Inflammation Lab (LAI), Inserm, UMR_S 1067, 13288 Marseille, France ,grid.4444.00000 0001 2112 9282Adhesion and Inflammation Lab (LAI), CNRS, UMR 7333, 13288 Marseille, France
| | - Laura Ghesquiere-Dierickx
- grid.5399.60000 0001 2176 4817Adhesion and Inflammation Lab (LAI), Aix Marseille University, LAI UM 61, 13288 Marseille, France ,grid.457381.cAdhesion and Inflammation Lab (LAI), Inserm, UMR_S 1067, 13288 Marseille, France ,grid.4444.00000 0001 2112 9282Adhesion and Inflammation Lab (LAI), CNRS, UMR 7333, 13288 Marseille, France ,grid.7497.d0000 0004 0492 0584Present Address: Division of Medical Physics in Radiation Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Ambroise Wu
- grid.5399.60000 0001 2176 4817Centre d’Immunologie de Marseille Luminy (CIML), Aix-Marseille University, CNRS, Inserm, CIML Marseille, 13288 Marseille, France ,grid.8505.80000 0001 1010 5103Present Address: Department of Biophysics, University of Wrocław, Wrocław, Poland
| | - Olivier Théodoly
- grid.5399.60000 0001 2176 4817Adhesion and Inflammation Lab (LAI), Aix Marseille University, LAI UM 61, 13288 Marseille, France ,grid.457381.cAdhesion and Inflammation Lab (LAI), Inserm, UMR_S 1067, 13288 Marseille, France ,grid.4444.00000 0001 2112 9282Adhesion and Inflammation Lab (LAI), CNRS, UMR 7333, 13288 Marseille, France
| | - Laurent Limozin
- grid.5399.60000 0001 2176 4817Adhesion and Inflammation Lab (LAI), Aix Marseille University, LAI UM 61, 13288 Marseille, France ,grid.457381.cAdhesion and Inflammation Lab (LAI), Inserm, UMR_S 1067, 13288 Marseille, France ,grid.4444.00000 0001 2112 9282Adhesion and Inflammation Lab (LAI), CNRS, UMR 7333, 13288 Marseille, France
| | - Yannick Hamon
- grid.5399.60000 0001 2176 4817Centre d’Immunologie de Marseille Luminy (CIML), Aix-Marseille University, CNRS, Inserm, CIML Marseille, 13288 Marseille, France
| | - Pierre-Henri Puech
- grid.5399.60000 0001 2176 4817Adhesion and Inflammation Lab (LAI), Aix Marseille University, LAI UM 61, 13288 Marseille, France ,grid.457381.cAdhesion and Inflammation Lab (LAI), Inserm, UMR_S 1067, 13288 Marseille, France ,grid.4444.00000 0001 2112 9282Adhesion and Inflammation Lab (LAI), CNRS, UMR 7333, 13288 Marseille, France
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11
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CD8 Co-Receptor Enhances T-Cell Activation without Any Effect on Initial Attachment. Cells 2021; 10:cells10020429. [PMID: 33670573 PMCID: PMC7922487 DOI: 10.3390/cells10020429] [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: 12/23/2020] [Revised: 02/11/2021] [Accepted: 02/13/2021] [Indexed: 12/27/2022] Open
Abstract
The scanning of surrounding tissues by T lymphocytes to detect cognate antigens requires high speed, sensitivity and specificity. T-cell receptor (TCR) co-receptors such as CD8 increase detection performance, but the exact mechanism remains incompletely understood. Here, we used a laminar flow chamber to measure at the single molecule level the kinetics of bond formation and rupture between TCR- transfected CD8+ and CD8− Jurkat cells and surfaces coated with five peptide-exposing major histocompatibility antigens (pMHCs) of varying activating power. We also used interference reflection microscopy to image the spreading of these cells dropped on pMHC-exposing surfaces. CD8 did not influence the TCR–pMHC interaction during the first few seconds following cell surface encounter, but it promoted the subsequent spreading responses, suggesting that CD8 was involved in early activation rather than binding. Further, the rate and extent of spreading, but not the lag between contact and spreading initiation, depended on the pMHC. Elucidating T-lymphocyte detection strategy may help unravel underlying signaling networks.
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12
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Fölser M, Motsch V, Platzer R, Huppa JB, Schütz GJ. A Multimodal Platform for Simultaneous T-Cell Imaging, Defined Activation, and Mechanobiological Characterization. Cells 2021; 10:235. [PMID: 33504075 PMCID: PMC7910839 DOI: 10.3390/cells10020235] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Revised: 01/18/2021] [Accepted: 01/20/2021] [Indexed: 11/16/2022] Open
Abstract
T-cell antigen recognition is accompanied by extensive morphological rearrangements of the contact zone between the T-cell and the antigen-presenting cell (APC). This process involves binding of the T-cell receptor (TCR) complex to antigenic peptides presented via MHC on the APC surface, the interaction of costimulatory and adhesion proteins, remodeling of the actin cytoskeleton, and the initiation of downstream signaling processes such as the release of intracellular calcium. However, multiparametric time-resolved analysis of these processes is hampered by the difficulty in recording the different readout modalities at high quality in parallel. In this study, we present a platform for simultaneous quantification of TCR distribution via total internal reflection fluorescence microscopy, of intracellular calcium levels, and of T-cell-exerted forces via atomic force microscopy (AFM). In our method, AFM cantilevers were used to bring single T-cells into contact with the activating surface. We designed the platform specifically to enable the study of T-cell triggering via functionalized fluid-supported lipid bilayers, which represent a widely accepted model system to stimulate T-cells in an antigen-specific manner. In this paper, we showcase the possibilities of this platform using primary transgenic T-cells triggered specifically via their cognate antigen presented by MHCII.
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Affiliation(s)
- Martin Fölser
- Institute of Applied Physics, TU Wien, 1060 Vienna, Austria; (M.F.); (V.M.)
| | - Viktoria Motsch
- Institute of Applied Physics, TU Wien, 1060 Vienna, Austria; (M.F.); (V.M.)
- Institute of Agricultural Engineering, University of Natural Resources and Life Sciences, 1190 Vienna, Austria
| | - René Platzer
- Institute for Hygiene and Applied Immunology, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, 1090 Vienna, Austria; (R.P.); (J.B.H.)
| | - Johannes B. Huppa
- Institute for Hygiene and Applied Immunology, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, 1090 Vienna, Austria; (R.P.); (J.B.H.)
| | - Gerhard J. Schütz
- Institute of Applied Physics, TU Wien, 1060 Vienna, Austria; (M.F.); (V.M.)
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13
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Zhang J, Zhao R, Li B, Farrukh A, Hoth M, Qu B, Del Campo A. Micropatterned soft hydrogels to study the interplay of receptors and forces in T cell activation. Acta Biomater 2021; 119:234-246. [PMID: 33099024 DOI: 10.1016/j.actbio.2020.10.028] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2020] [Revised: 09/28/2020] [Accepted: 10/15/2020] [Indexed: 12/30/2022]
Abstract
The analysis of T cell responses to mechanical properties of antigen presenting cells (APC) is experimentally challenging at T cell-APC interfaces. Soft hydrogels with adjustable mechanical properties and biofunctionalization are useful reductionist models to address this problem. Here, we report a methodology to fabricate micropatterned soft hydrogels with defined stiffness to form spatially confined T cell/hydrogel contact interfaces at micrometer scale. Using automatized microcontact printing we prepared arrays of anti-CD3 microdots on poly(acrylamide) hydrogels with Young's Modulus in the range of 2 to 50 kPa. We optimized the printing process to obtain anti-CD3 microdots with constant area (50 µm2, corresponding to 8 µm diameter) and comparable anti-CD3 density on hydrogels of different stiffness. The anti-CD3 arrays were recognized by T cells and restricted cell attachment to the printed areas. To test functionality of the hydrogel-T cell contact, we analyzed several key events downstream of T cell receptor (TCR) activation. Anti-CD3 arrays on hydrogels activated calcium influx, induced rearrangement of the actin cytoskeleton, and led to Zeta-chain-associated protein kinase 70 (ZAP70) phosphorylation. Interestingly, upon increase in the stiffness, ZAP70 phosphorylation was enhanced, whereas the rearrangements of F-actin (F-actin clearance) and phosphorylated ZAP70 (ZAP70/pY centralization) were unaffected. Our results show that micropatterned hydrogels allow tuning of stiffness and receptor presentation to analyze TCR mediated T cell activation as function of mechanical, biochemical, and geometrical parameters.
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Affiliation(s)
- Jingnan Zhang
- INM - Leibniz Institute for New Materials, Campus D2 2, 66123 Saarbrücken, Germany; Chemistry Department, Saarland University, 66123 Saarbrücken, Germany
| | - Renping Zhao
- Biophysics, Center for Integrative Physiology and Molecular Medicine, School of Medicine, Saarland University, Homburg, 66421 Germany
| | - Bin Li
- INM - Leibniz Institute for New Materials, Campus D2 2, 66123 Saarbrücken, Germany
| | - Aleeza Farrukh
- INM - Leibniz Institute for New Materials, Campus D2 2, 66123 Saarbrücken, Germany
| | - Markus Hoth
- Biophysics, Center for Integrative Physiology and Molecular Medicine, School of Medicine, Saarland University, Homburg, 66421 Germany
| | - Bin Qu
- INM - Leibniz Institute for New Materials, Campus D2 2, 66123 Saarbrücken, Germany; Biophysics, Center for Integrative Physiology and Molecular Medicine, School of Medicine, Saarland University, Homburg, 66421 Germany
| | - Aránzazu Del Campo
- INM - Leibniz Institute for New Materials, Campus D2 2, 66123 Saarbrücken, Germany; Chemistry Department, Saarland University, 66123 Saarbrücken, Germany.
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14
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Desalvo A, Bateman F, James E, Morgan H, Elliott T. Time-resolved microwell cell-pairing array reveals multiple T cell activation profiles. LAB ON A CHIP 2020; 20:3772-3783. [PMID: 32902549 DOI: 10.1039/d0lc00628a] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
The differences in behaviour between individual cells in a large population are often important, yet are masked in bulk analyses where only average parameters are measured. One unresolved question in the field of immunology is the extent to which important immunological phenomena such as immunodominance to cancer antigens correlates with the average activity of a population of antigen-specific T lymphocytes, or with the activity of individual "outlier" cells. Despite progress in single cell technologies, few platforms are available that can deliver time-resolved, functional analysis at single cell resolution, for these investigations. We have developed an accessible high-throughput platform to measure single T cell signalling in real time following time-controlled stimulation by live antigen presenting cells. The cell-trap array consists of thousands of individual microwells cast in an agarose block, which is biocompatible and permeable to nutrients. Single T cells are isolated in wells via passive sedimentation and size exclusion, achieving up to 90% occupancy. The device enables simultaneous activation of thousands of single CD8+ cells. Stimulation with soluble reagents (ionomycin, anti-CD3 antibodies) or antigen presenting cells leads to changes in intracellular calcium concentrations which were measured using calcium-chelating fluorophore dyes. The platform was used to demonstrate a range of activation profiles among individual cells of a cloned, antigen specific CD8+ T cell hybridoma in response to both nonspecific stimuli and specific, physiologically relevant antigen stimulation. The presence of two different activation profiles was demonstrated, together with rare outlier behaviour among cells that are essentially clonal.
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Affiliation(s)
- Anna Desalvo
- Centre for Cancer Immunology, University of Southampton, Southampton, UK.
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15
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Razvag Y, Neve-Oz Y, Sajman J, Yakovian O, Reches M, Sherman E. T Cell Activation through Isolated Tight Contacts. Cell Rep 2020; 29:3506-3521.e6. [PMID: 31825832 DOI: 10.1016/j.celrep.2019.11.022] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2019] [Revised: 08/12/2019] [Accepted: 11/06/2019] [Indexed: 01/01/2023] Open
Abstract
T cells engage antigen-presenting cells in search for cognate antigens via dynamic cell protrusions before forming a tight immune synapse. The spatiotemporal events that may lead to rapid TCR triggering and signal amplification in microvilli-driven isolated contacts, and in subsequent, more uniform contacts, remain poorly understood. Here, we combined interference-reflectance microscopy and single-molecule localization microscopy in live cells to resolve TCR-dependent signaling at tight cell contacts. We show that early contacts are sufficient for robust TCR triggering and ZAP-70 recruitment. With cell spreading, TCR activation and ZAP-70 recruitment increase and shift to the edges of the growing tight contacts. CD45 segregates from TCR at tight contacts and is enriched at high local curvature membrane. Surprisingly, cortical actin and LFA localized at contact regions of intermediate tightness. Our results show in molecular detail the roles of early and tight T cell contacts in T cell activation, as both sensing and decision-making entities.
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Affiliation(s)
- Yair Razvag
- Racah Institute of Physics, The Hebrew University, Jerusalem 9190401, Israel; Institute of Chemistry and The Center for Nanoscience and Nanotechnology, The Hebrew University of Jerusalem, Jerusalem 9190401, Israel
| | - Yair Neve-Oz
- Racah Institute of Physics, The Hebrew University, Jerusalem 9190401, Israel
| | - Julia Sajman
- Racah Institute of Physics, The Hebrew University, Jerusalem 9190401, Israel
| | - Oren Yakovian
- Racah Institute of Physics, The Hebrew University, Jerusalem 9190401, Israel
| | - Meital Reches
- Institute of Chemistry and The Center for Nanoscience and Nanotechnology, The Hebrew University of Jerusalem, Jerusalem 9190401, Israel
| | - Eilon Sherman
- Racah Institute of Physics, The Hebrew University, Jerusalem 9190401, Israel.
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16
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Farrell MV, Webster S, Gaus K, Goyette J. T Cell Membrane Heterogeneity Aids Antigen Recognition and T Cell Activation. Front Cell Dev Biol 2020; 8:609. [PMID: 32850786 PMCID: PMC7399036 DOI: 10.3389/fcell.2020.00609] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Accepted: 06/19/2020] [Indexed: 12/21/2022] Open
Abstract
T cells are critical for co-ordinating the immune response. T cells are activated when their surface T cell receptors (TCRs) engage cognate antigens in the form of peptide-major histocompatibility complexes (pMHC) presented on the surface of antigen presenting cells (APCs). Large changes in the contact interface between T cells and APCs occur over the course of tens of minutes from the initial contact to the formation of a large-scale junction between the two cells. The mature junction between a T cell and APC is known as the immunological synapse, and this specialized plasma membrane structure is the major platform for TCR signaling. It has long been known that the complex organization of signaling molecules at the synapse is critical for appropriate activation of T cells, but within the last decade advances in microscopy have opened up investigation into the dynamics of T cell surface topology in the immune synapse. From mechanisms mediating the initial contact between T cells and APCs to roles in the organization of molecules in the mature synapse, these studies have made it increasingly clear that local membrane topology has a large impact on signaling processes. This review focuses on the functional consequences of the T cells' highly dynamic and heterogeneous membrane, in particular, how membrane topology leads to the reorganization of membrane proteins on the T cell surface.
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Affiliation(s)
- Megan V Farrell
- EMBL Australia Node in Single Molecule Science, School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia.,ARC Centre of Excellence in Advanced Molecular Imaging, University of New South Wales, Sydney, NSW, Australia
| | - Samantha Webster
- EMBL Australia Node in Single Molecule Science, School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia.,ARC Centre of Excellence in Advanced Molecular Imaging, University of New South Wales, Sydney, NSW, Australia
| | - Katharina Gaus
- EMBL Australia Node in Single Molecule Science, School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia.,ARC Centre of Excellence in Advanced Molecular Imaging, University of New South Wales, Sydney, NSW, Australia
| | - Jesse Goyette
- EMBL Australia Node in Single Molecule Science, School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia.,ARC Centre of Excellence in Advanced Molecular Imaging, University of New South Wales, Sydney, NSW, Australia
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17
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Moreau HD, Lennon-Duménil AM, Pierobon P. “If you please… draw me a cell”. Insights from immune cells. J Cell Sci 2020; 133:133/5/jcs244806. [DOI: 10.1242/jcs.244806] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
ABSTRACT
Studies in recent years have shed light on the particular features of cytoskeleton dynamics in immune cells, challenging the classical picture drawn from typical adherent cell lines. New mechanisms linking the dynamics of the membrane–cytoskeleton interface to the mechanical properties of immune cells have been uncovered and shown to be essential for immune surveillance functions. In this Essay, we discuss these features, and propose immune cells as a new playground for cell biologists who try to understand how cells adapt to different microenvironments to fulfil their functions efficiently.
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Affiliation(s)
- Hélène D. Moreau
- INSERM U932, Institut Curie, ANR-10-IDEX-0001-02 PSL and ANR-11-LABX-0043, 26 rue d'Ulm, 75248 Paris, Cedex 05, France
| | - Ana-Maria Lennon-Duménil
- INSERM U932, Institut Curie, ANR-10-IDEX-0001-02 PSL and ANR-11-LABX-0043, 26 rue d'Ulm, 75248 Paris, Cedex 05, France
| | - Paolo Pierobon
- INSERM U932, Institut Curie, ANR-10-IDEX-0001-02 PSL and ANR-11-LABX-0043, 26 rue d'Ulm, 75248 Paris, Cedex 05, France
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18
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Membrane Organization and Physical Regulation of Lymphocyte Antigen Receptors: A Biophysicist's Perspective. J Membr Biol 2019; 252:397-412. [PMID: 31352492 DOI: 10.1007/s00232-019-00085-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2019] [Accepted: 07/18/2019] [Indexed: 12/19/2022]
Abstract
Receptors at the membrane of immune cells are the central players of innate and adaptative immunity, providing effective defence mechanisms against pathogens or cancer cells. Their function is intimately linked to their position at and within the membrane which provides accessibility, mobility as well as membrane proximal cytoskeleton anchoring, all of these elements playing important roles in the final function and links to cellular actions. Understanding how immune cells integrate the specific signals received at their membrane to take a decision remains an immense challenge and a very active field of fundamental and applied research. Recent progress in imaging and micromanipulation techniques have led to an unprecedented refinement in the description of molecular structures and supramolecular assemblies at the immune cell membrane, and provided a glimpse into their dynamics and regulation by force. Several key elements have been scrutinized such as the roles of relative sizes of molecules, lateral organisation, motion in the membrane of the receptors, but also physical cues such as forces, mediated by cellular substrates of different rigidities or applied by the cell itself, in conjunction with its partner cell. We review here these recent discoveries associated with a description of the biophysical methods used. While a conclusive picture integrating all of these components is still lacking, mainly due to the implication of diverse and different mechanisms and spatio-temporal scales involved, the amount of quantitative data available opens the way for physical modelling and numerical simulations and new avenues for experimental research.
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19
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Mayya V, Judokusumo E, Abu-Shah E, Neiswanger W, Sachar C, Depoil D, Kam LC, Dustin ML. Cutting Edge: Synapse Propensity of Human Memory CD8 T Cells Confers Competitive Advantage over Naive Counterparts. THE JOURNAL OF IMMUNOLOGY 2019; 203:601-606. [PMID: 31201237 PMCID: PMC6643047 DOI: 10.4049/jimmunol.1801687] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/16/2019] [Accepted: 05/28/2019] [Indexed: 01/04/2023]
Abstract
Microcontact printing can be used to mimic spatially limiting Ag presentation. High synapse propensity of human memory CD8 T cells prevents naive cell recruitment.
Memory T cells are endowed with multiple functional features that enable them to be more protective than naive T cells against infectious threats. It is not known if memory cells have a higher synapse propensity (SP; i.e., increased probability to form immature immunological synapses that then provide an entry into different modes of durable interaction with APCs). In this study, we show that only human memory CD8 T cells have remarkably high SP compared with naive counterparts. Such a dichotomy between naive and memory cells is not observed within the human CD4 or murine CD8 T cell population. Higher SP in human memory CD8 T cells allows them to outcompete and prevent naive CD8 T cells from getting recruited to the response. This observation has implications for original antigenic sin and aging of the immune system in humans.
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Affiliation(s)
- Viveka Mayya
- Kennedy Institute of Rheumatology, University of Oxford, OX3 7FY Oxford, United Kingdom.,Skirball Institute of Biomolecular Medicine, New York University School of Medicine, New York, NY 10016
| | - Edward Judokusumo
- Department of Biological Engineering, Columbia University, New York, NY 10027; and
| | - Enas Abu-Shah
- Kennedy Institute of Rheumatology, University of Oxford, OX3 7FY Oxford, United Kingdom
| | - Willie Neiswanger
- Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA 15213
| | - Chirag Sachar
- Department of Biological Engineering, Columbia University, New York, NY 10027; and
| | - David Depoil
- Kennedy Institute of Rheumatology, University of Oxford, OX3 7FY Oxford, United Kingdom
| | - Lance C Kam
- Department of Biological Engineering, Columbia University, New York, NY 10027; and
| | - Michael L Dustin
- Kennedy Institute of Rheumatology, University of Oxford, OX3 7FY Oxford, United Kingdom; .,Skirball Institute of Biomolecular Medicine, New York University School of Medicine, New York, NY 10016
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20
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Buckle AM, Borg NA. Integrating Experiment and Theory to Understand TCR-pMHC Dynamics. Front Immunol 2018; 9:2898. [PMID: 30581442 PMCID: PMC6293202 DOI: 10.3389/fimmu.2018.02898] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2018] [Accepted: 11/26/2018] [Indexed: 11/13/2022] Open
Abstract
The conformational dynamism of proteins is well established. Rather than having a single structure, proteins are more accurately described as a conformational ensemble that exists across a rugged energy landscape, where different conformational sub-states interconvert. The interaction between αβ T cell receptors (TCR) and cognate peptide-MHC (pMHC) is no exception, and is a dynamic process that involves substantial conformational change. This review focuses on technological advances that have begun to establish the role of conformational dynamics and dynamic allostery in TCR recognition of the pMHC and the early stages of signaling. We discuss how the marriage of molecular dynamics (MD) simulations with experimental techniques provides us with new ways to dissect and interpret the process of TCR ligation. Notably, application of simulation techniques lags behind other fields, but is predicted to make substantial contributions. Finally, we highlight integrated approaches that are being used to shed light on some of the key outstanding questions in the early events leading to TCR signaling.
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Affiliation(s)
- Ashley M Buckle
- Infection and Immunity Program, Monash Biomedicine Discovery Institute and Department of Biochemistry and Molecular Biology, Monash University, Clayton, VIC, Australia
| | - Natalie A Borg
- Infection and Immunity Program, Monash Biomedicine Discovery Institute and Department of Biochemistry and Molecular Biology, Monash University, Clayton, VIC, Australia
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21
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Saitakis M, Dogniaux S, Goudot C, Bufi N, Asnacios S, Maurin M, Randriamampita C, Asnacios A, Hivroz C. Different TCR-induced T lymphocyte responses are potentiated by stiffness with variable sensitivity. eLife 2017; 6. [PMID: 28594327 PMCID: PMC5464771 DOI: 10.7554/elife.23190] [Citation(s) in RCA: 128] [Impact Index Per Article: 18.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2016] [Accepted: 05/07/2017] [Indexed: 12/26/2022] Open
Abstract
T cells are mechanosensitive but the effect of stiffness on their functions is still debated. We characterize herein how human primary CD4+ T cell functions are affected by stiffness within the physiological Young’s modulus range of 0.5 kPa to 100 kPa. Stiffness modulates T lymphocyte migration and morphological changes induced by TCR/CD3 triggering. Stiffness also increases TCR-induced immune system, metabolism and cell-cycle-related genes. Yet, upon TCR/CD3 stimulation, while cytokine production increases within a wide range of stiffness, from hundreds of Pa to hundreds of kPa, T cell metabolic properties and cell cycle progression are only increased by the highest stiffness tested (100 kPa). Finally, mechanical properties of adherent antigen-presenting cells modulate cytokine production by T cells. Together, these results reveal that T cells discriminate between the wide range of stiffness values found in the body and adapt their responses accordingly. DOI:http://dx.doi.org/10.7554/eLife.23190.001 Our immune system contains many cells that play various roles in defending the body against infection, cancer and other threats. For example, T cells constantly patrol the body ready to detect and respond to dangers. They do so by gathering cues from their surroundings, which can be specific chemical signals or physical properties such as the stiffness of tissues. Once the T cells are active they respond in several different ways including releasing hormones and dividing to produce more T cells. Tissue stiffness varies considerably between different organs. Furthermore, disease can lead to changes in tissue stiffness. For example, tissues become more rigid when they are inflamed. The stiffness and other physical properties of the surfaces that T cells interact with affect how the cells respond when they detect a threat, but few details are known about exactly how these cues tune T cell responses. Saitakis et al. studied how human T cells respond to artificial surfaces of varying stiffness that mimic the range found in the body. The experiments show that T cells that interact with stiff surfaces become more active than T cells that interact with softer surfaces. However, some responses are more sensitive to the stiffness of the surface than others. For example, the ability of the T cells to release hormones was affected by the whole range of stiffnesses tested in the experiments, whereas only very stiff surfaces stimulated the T cells to divide. These findings show that T cells can detect the stiffness of surfaces in the body and use this to adapt how they respond to threats. Future challenges will be to find out how T cells sense the physical properties of their surroundings and investigate whether cell and tissue stiffness affects immune responses in the body. This will help us to understand how T cells fight infections and other threats, and could be used to develop new ways of boosting these cells to fight cancer and other diseases. DOI:http://dx.doi.org/10.7554/eLife.23190.002
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Affiliation(s)
- Michael Saitakis
- Institut Curie Section Recherche, INSERM U932 & PSL Research University, Paris, France
| | - Stéphanie Dogniaux
- Institut Curie Section Recherche, INSERM U932 & PSL Research University, Paris, France
| | - Christel Goudot
- Institut Curie Section Recherche, INSERM U932 & PSL Research University, Paris, France
| | - Nathalie Bufi
- Laboratoire Matières et systèmes complexes, Université Paris-Diderot and CNRS, UMR 7057, Sorbonne Paris Cité, Paris, France
| | - Sophie Asnacios
- Laboratoire Matières et systèmes complexes, Université Paris-Diderot and CNRS, UMR 7057, Sorbonne Paris Cité, Paris, France.,Department of Physics, Sorbonne Universités, UPMC Université Paris, Paris, France
| | - Mathieu Maurin
- Institut Curie Section Recherche, INSERM U932 & PSL Research University, Paris, France
| | - Clotilde Randriamampita
- INSERM, U1016, Institut Cochin & UMR8104, CNRS & Université Paris Descartes, Sorbonne Paris Cité, Paris, France
| | - Atef Asnacios
- Laboratoire Matières et systèmes complexes, Université Paris-Diderot and CNRS, UMR 7057, Sorbonne Paris Cité, Paris, France
| | - Claire Hivroz
- Institut Curie Section Recherche, INSERM U932 & PSL Research University, Paris, France
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22
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Malissen B, Bongrand P. Early T cell activation: integrating biochemical, structural, and biophysical cues. Annu Rev Immunol 2015; 33:539-61. [PMID: 25861978 DOI: 10.1146/annurev-immunol-032414-112158] [Citation(s) in RCA: 102] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
T cells carry out the formidable task of identifying small numbers of foreign antigenic peptides rapidly and specifically against a very noisy environmental background of endogenous self-peptides. Early steps in T cell activation have thus fascinated biologists and are among the best-studied models of cell stimulation. This remarkable process, critical in adaptive immune responses, approaches and even seems to exceed the limitations set by the physical laws ruling molecular behavior. Despite the enormous amount of information concerning the nature of molecules involved in the T cell antigen receptor (TCR) signal transduction network, and the description of the nanoscale organization and real-time analysis of T cell responses, the general principles of information gathering and processing remain incompletely understood. Here we review currently accepted key data on TCR function, discuss the limitations of current research strategies, and suggest a novel model of TCR triggering and a few promising ways of going further into the integration of available data.
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Affiliation(s)
- Bernard Malissen
- Centre d'Immunologie de Marseille-Luminy and Centre d'Immunophénomique, Aix-Marseille Université, INSERM U1104 and US012, CNRS UMR7280 and UMS3367, 13288 Marseille Cedex 09, France;
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23
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Cazaux S, Sadoun A, Biarnes-Pelicot M, Martinez M, Obeid S, Bongrand P, Limozin L, Puech PH. Synchronizing atomic force microscopy force mode and fluorescence microscopy in real time for immune cell stimulation and activation studies. Ultramicroscopy 2015; 160:168-181. [PMID: 26521163 DOI: 10.1016/j.ultramic.2015.10.014] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2015] [Revised: 09/17/2015] [Accepted: 10/12/2015] [Indexed: 11/24/2022]
Abstract
A method is presented for combining atomic force microscopy (AFM) force mode and fluorescence microscopy in order to (a) mechanically stimulate immune cells while recording the subsequent activation under the form of calcium pulses, and (b) observe the mechanical response of a cell upon photoactivation of a small G protein, namely Rac. Using commercial set-ups and a robust signal coupling the fluorescence excitation light and the cantilever bending, the applied force and activation signals were very easily synchronized. This approach allows to control the entire mechanical history of a single cell up to its activation and response down to a few hundreds of milliseconds, and can be extended with very minimal adaptations to other cellular systems where mechanotransduction is studied, using either purely mechanical stimuli or via a surface bound specific ligand.
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Affiliation(s)
- Séverine Cazaux
- Aix Marseille Université, LAI UM 61, Marseille F-13288, France; Inserm, UMR_S 1067, Marseille F-13288, France; CNRS, UMR 7333, Marseille F-13288, France
| | - Anaïs Sadoun
- Aix Marseille Université, LAI UM 61, Marseille F-13288, France; Inserm, UMR_S 1067, Marseille F-13288, France; CNRS, UMR 7333, Marseille F-13288, France
| | - Martine Biarnes-Pelicot
- Aix Marseille Université, LAI UM 61, Marseille F-13288, France; Inserm, UMR_S 1067, Marseille F-13288, France; CNRS, UMR 7333, Marseille F-13288, France
| | - Manuel Martinez
- Aix Marseille Université, LAI UM 61, Marseille F-13288, France; Inserm, UMR_S 1067, Marseille F-13288, France; CNRS, UMR 7333, Marseille F-13288, France
| | - Sameh Obeid
- Aix Marseille Université, LAI UM 61, Marseille F-13288, France; Inserm, UMR_S 1067, Marseille F-13288, France; CNRS, UMR 7333, Marseille F-13288, France
| | - Pierre Bongrand
- Aix Marseille Université, LAI UM 61, Marseille F-13288, France; Inserm, UMR_S 1067, Marseille F-13288, France; CNRS, UMR 7333, Marseille F-13288, France; APHM, Hôpital de la Conception, Laboratoire d'Immunologie, Marseille F-13385, France
| | - Laurent Limozin
- Aix Marseille Université, LAI UM 61, Marseille F-13288, France; Inserm, UMR_S 1067, Marseille F-13288, France; CNRS, UMR 7333, Marseille F-13288, France
| | - Pierre-Henri Puech
- Aix Marseille Université, LAI UM 61, Marseille F-13288, France; Inserm, UMR_S 1067, Marseille F-13288, France; CNRS, UMR 7333, Marseille F-13288, France.
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Brodovitch A, Shenderov E, Cerundolo V, Bongrand P, Pierres A, van der Merwe PA. T lymphocytes need less than 3 min to discriminate between peptide MHCs with similar TCR-binding parameters. Eur J Immunol 2015; 45:1635-42. [PMID: 25782169 PMCID: PMC4657482 DOI: 10.1002/eji.201445214] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2014] [Revised: 02/17/2015] [Accepted: 03/13/2015] [Indexed: 11/10/2022]
Abstract
T lymphocytes need to detect rare cognate foreign peptides among numerous foreign and self-peptides. This discrimination seems to be based on the kinetics of TCRs binding to their peptide-MHC (pMHC) ligands, but there is little direct information on the minimum time required for processing elementary signaling events and deciding to initiate activation. Here, we used interference reflection microscopy to study the early interaction between transfected human Jurkat T cells expressing the 1G4 TCR and surfaces coated with five different pMHC ligands of 1G4. The pMHC concentration required for inducing 50% maximal IFN-γ production by T cells, and 1G4-pMHC dissociation rates measured in soluble phase or on surface-bound molecules, displayed six- to sevenfold variation among pMHCs. When T cells were dropped onto pMHC-coated surfaces, rapid spreading occurred after a 2-min lag. The initial spreading rate measured during the first 45 s, and the contact area, were strongly dependent on the encountered TCR ligand. However, the lag duration did not significantly depend on encountered ligand. In addition, spreading appeared to be an all-or-none process, and the fraction of spreading cells was tightly correlated to the spreading rate and spreading area. Thus, T cells can discriminate between fairly similar TCR ligands within 2 min.
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Affiliation(s)
- Alexandre Brodovitch
- Lab Adhesion Cellulaire and Inflammation, Aix-Marseille UniversitéFrance
- INSERM U1067France
- CNRSU7333, France
| | - Eugene Shenderov
- MRC Human Immunology Unit, Weatherall Institute for Molecular Medicine, University of OxfordOxford, UK
| | - Vincenzo Cerundolo
- MRC Human Immunology Unit, Weatherall Institute for Molecular Medicine, University of OxfordOxford, UK
| | - Pierre Bongrand
- Lab Adhesion Cellulaire and Inflammation, Aix-Marseille UniversitéFrance
- INSERM U1067France
- CNRSU7333, France
- Assistance Publique, Hôpitaux de MarseilleFrance
| | - Anne Pierres
- Lab Adhesion Cellulaire and Inflammation, Aix-Marseille UniversitéFrance
- INSERM U1067France
- CNRSU7333, France
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25
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Cadra S, Gucciardi A, Valignat MP, Theodoly O, Vacaflores A, Houtman JC, Lellouch AC. ROZA-XL, an improved FRET based biosensor with an increased dynamic range for visualizing Zeta Associated Protein 70 kD (ZAP-70) tyrosine kinase activity in live T cells. Biochem Biophys Res Commun 2015; 459:405-10. [DOI: 10.1016/j.bbrc.2015.02.117] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2015] [Accepted: 02/21/2015] [Indexed: 11/24/2022]
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26
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Malissen B, Grégoire C, Malissen M, Roncagalli R. Integrative biology of T cell activation. Nat Immunol 2014; 15:790-7. [PMID: 25137453 DOI: 10.1038/ni.2959] [Citation(s) in RCA: 72] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2014] [Accepted: 07/10/2014] [Indexed: 12/11/2022]
Abstract
The activation of T cells mediated by the T cell antigen receptor (TCR) requires the interaction of dozens of proteins, and its malfunction has pathological consequences. Our major focus is on new developments in the systems-level understanding of the TCR signal-transduction network. To make sense of the formidable complexity of this network, we argue that 'fine-grained' methods are needed to assess the relationships among a few components that interact on a nanometric scale, and those should be integrated with high-throughput '-omic' approaches that simultaneously capture large numbers of parameters. We illustrate the utility of this integrative approach with the transmembrane signaling protein Lat, which is a key signaling hub of the TCR signal-transduction network, as a connecting thread.
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Affiliation(s)
- Bernard Malissen
- 1] Centre d'Immunologie de Marseille-Luminy, UM2 Aix-Marseille Université, Marseille, France. [2] INSERM U1104, Marseille, France. [3] CNRS UMR7280, Marseille, France. [4] Centre d'Immunophénomique, UM2 Aix-Marseille Université, Marseille, France. [5] INSERM US012, Marseille, France. [6] CNRS UMS3367, Marseille, France
| | - Claude Grégoire
- 1] Centre d'Immunologie de Marseille-Luminy, UM2 Aix-Marseille Université, Marseille, France. [2] INSERM U1104, Marseille, France. [3] CNRS UMR7280, Marseille, France
| | - Marie Malissen
- 1] Centre d'Immunologie de Marseille-Luminy, UM2 Aix-Marseille Université, Marseille, France. [2] INSERM U1104, Marseille, France. [3] CNRS UMR7280, Marseille, France. [4] Centre d'Immunophénomique, UM2 Aix-Marseille Université, Marseille, France. [5] INSERM US012, Marseille, France. [6] CNRS UMS3367, Marseille, France
| | - Romain Roncagalli
- 1] Centre d'Immunologie de Marseille-Luminy, UM2 Aix-Marseille Université, Marseille, France. [2] INSERM U1104, Marseille, France. [3] CNRS UMR7280, Marseille, France
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27
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Ligand-mediated friction determines morphodynamics of spreading T cells. Biophys J 2014; 107:2629-38. [PMID: 25468342 DOI: 10.1016/j.bpj.2014.10.044] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2014] [Revised: 10/03/2014] [Accepted: 10/28/2014] [Indexed: 11/22/2022] Open
Abstract
Spreading of T cells on antigen presenting cells is a crucial initial step in immune response. Spreading occurs through rapid morphological changes concomitant with the reorganization of surface receptors and of the cytoskeleton. Ligand mobility and frictional coupling of receptors to the cytoskeleton were separately recognized as important factors but a systematic study to explore their biophysical role in spreading was hitherto missing. To explore the impact of ligand mobility, we prepared chemically identical substrates on which molecules of anti-CD3 (capable of binding and activating the T cell receptor complex), were either immobilized or able to diffuse. We quantified the T cell spreading area and cell edge dynamics using quantitative reflection interference contrast microscopy, and imaged the actin distribution. On mobile ligands, as compared to fixed ligands, the cells spread much less, the actin is centrally, rather than peripherally distributed and the edge dynamics is largely altered. Blocking myosin-II or adding molecules of ICAM1 on the substrate largely abrogates these differences. We explain these observations by building a model based on the balance of forces between activation-dependent actin polymerization and actomyosin-generated tension on one hand, and on the frictional coupling of the ligand-receptor complexes with the actin cytoskeleton, the membrane and the substrate, on the other hand. Introducing the measured edge velocities in the model, we estimate the coefficient of frictional coupling between T Cell receptors or LFA-1 and the actin cytoskeleton. Our results provide for the first time, to our knowledge, a quantitative framework bridging T cell-specific biology with concepts developed for integrin-based mechanisms of spreading.
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28
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Brodovitch A, Limozin L, Bongrand P, Pierres A. Use of TIRF to Monitor T-Lymphocyte Membrane Dynamics with Submicrometer and Subsecond Resolution. Cell Mol Bioeng 2014; 8:178-186. [PMID: 25798205 PMCID: PMC4361759 DOI: 10.1007/s12195-014-0361-8] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2014] [Accepted: 10/04/2014] [Indexed: 11/29/2022] Open
Abstract
A key step of adaptive immune responses is the T lymphocyte capacity to detect the presence of foreign antigens on specialized cells with high speed and specificity during contacts lasting a few minutes. Much evidence suggests that there is a deep link between the lifetime of molecular interactions between T cell receptors and ligands and T cell activation, but the precise mechanisms of bond formation and dissociation remain incompletely understood. Previous experiments done with interference reflection microscopy/reflection interference contrast microscopy disclosed transverse motions with several nanometer average amplitude of micrometer size membrane zones. More recently, total internal reflection fluorescence microscopy was used to show that the initial interaction between primary T lymphocytes and model surfaces involved the tip of microvilli (typically 0.2 µm2 area) generating apparent contacts of a few seconds that allowed cells to detect ligands of their membrane receptors. Here we show that these microvilli displayed minimal lateral displacements but quantitative fluorescence measurement suggested the occurrence of spontaneous transverse fluctuations of order of 67 nm amplitude during 1-s observation periods. This may play a major role in membrane receptor engagement and ensuing signal generation.
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Affiliation(s)
- Alexandre Brodovitch
- Laboratoire Adhésion et Inflammation, Parc Scientifique de Luminy, Aix-Marseille Université, INSERM U1067, Case 937, 13288 Marseille Cedex 09, France ; INSERM U 1067, 13288 Marseille Cedex 09, France ; CNRS U 7333, 13288 Marseille Cedex 09, France
| | - Laurent Limozin
- Laboratoire Adhésion et Inflammation, Parc Scientifique de Luminy, Aix-Marseille Université, INSERM U1067, Case 937, 13288 Marseille Cedex 09, France ; INSERM U 1067, 13288 Marseille Cedex 09, France ; CNRS U 7333, 13288 Marseille Cedex 09, France
| | - Pierre Bongrand
- Laboratoire Adhésion et Inflammation, Parc Scientifique de Luminy, Aix-Marseille Université, INSERM U1067, Case 937, 13288 Marseille Cedex 09, France ; INSERM U 1067, 13288 Marseille Cedex 09, France ; CNRS U 7333, 13288 Marseille Cedex 09, France ; Assistance-Publique, Hôpitaux de Marseille, Marseille, France
| | - Anne Pierres
- Laboratoire Adhésion et Inflammation, Parc Scientifique de Luminy, Aix-Marseille Université, INSERM U1067, Case 937, 13288 Marseille Cedex 09, France ; INSERM U 1067, 13288 Marseille Cedex 09, France ; CNRS U 7333, 13288 Marseille Cedex 09, France
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29
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Chylek LA, Akimov V, Dengjel J, Rigbolt KTG, Hu B, Hlavacek WS, Blagoev B. Phosphorylation site dynamics of early T-cell receptor signaling. PLoS One 2014; 9:e104240. [PMID: 25147952 PMCID: PMC4141737 DOI: 10.1371/journal.pone.0104240] [Citation(s) in RCA: 51] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2014] [Accepted: 07/07/2014] [Indexed: 11/18/2022] Open
Abstract
In adaptive immune responses, T-cell receptor (TCR) signaling impacts multiple cellular processes and results in T-cell differentiation, proliferation, and cytokine production. Although individual protein-protein interactions and phosphorylation events have been studied extensively, we lack a systems-level understanding of how these components cooperate to control signaling dynamics, especially during the crucial first seconds of stimulation. Here, we used quantitative proteomics to characterize reshaping of the T-cell phosphoproteome in response to TCR/CD28 co-stimulation, and found that diverse dynamic patterns emerge within seconds. We detected phosphorylation dynamics as early as 5 s and observed widespread regulation of key TCR signaling proteins by 30 s. Development of a computational model pointed to the presence of novel regulatory mechanisms controlling phosphorylation of sites with central roles in TCR signaling. The model was used to generate predictions suggesting unexpected roles for the phosphatase PTPN6 (SHP-1) and shortcut recruitment of the actin regulator WAS. Predictions were validated experimentally. This integration of proteomics and modeling illustrates a novel, generalizable framework for solidifying quantitative understanding of a signaling network and for elucidating missing links.
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Affiliation(s)
- Lily A. Chylek
- Theoretical Division, Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America
- Center for Nonlinear Studies, Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America
- Department of Chemistry and Chemical Biology, Cornell University, Ithaca, New York, United States of America
| | - Vyacheslav Akimov
- Department of Biochemistry and Molecular Biology, University of Southern Denmark, Odense M, Denmark
| | - Jörn Dengjel
- Department of Dermatology, Medical Center; Freiburg Institute for Advanced Studies (FRIAS); BIOSS Centre for Biological Signalling Studies; ZBSA Center for Biological Systems Analysis, University of Freiburg, Freiburg, Germany
| | - Kristoffer T. G. Rigbolt
- Department of Dermatology, Medical Center; Freiburg Institute for Advanced Studies (FRIAS); BIOSS Centre for Biological Signalling Studies; ZBSA Center for Biological Systems Analysis, University of Freiburg, Freiburg, Germany
| | - Bin Hu
- Theoretical Division, Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America
- Department of Biology, University of New Mexico, Albuquerque, New Mexico, United States of America
| | - William S. Hlavacek
- Theoretical Division, Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America
- Center for Nonlinear Studies, Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America
- Department of Biology, University of New Mexico, Albuquerque, New Mexico, United States of America
| | - Blagoy Blagoev
- Department of Biochemistry and Molecular Biology, University of Southern Denmark, Odense M, Denmark
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