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Jeffreys N, Brockman JM, Zhai Y, Ingber DE, Mooney DJ. Mechanical forces amplify TCR mechanotransduction in T cell activation and function. APPLIED PHYSICS REVIEWS 2024; 11:011304. [PMID: 38434676 PMCID: PMC10848667 DOI: 10.1063/5.0166848] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Accepted: 12/08/2023] [Indexed: 03/05/2024]
Abstract
Adoptive T cell immunotherapies, including engineered T cell receptor (eTCR) and chimeric antigen receptor (CAR) T cell immunotherapies, have shown efficacy in treating a subset of hematologic malignancies, exhibit promise in solid tumors, and have many other potential applications, such as in fibrosis, autoimmunity, and regenerative medicine. While immunoengineering has focused on designing biomaterials to present biochemical cues to manipulate T cells ex vivo and in vivo, mechanical cues that regulate their biology have been largely underappreciated. This review highlights the contributions of mechanical force to several receptor-ligand interactions critical to T cell function, with central focus on the TCR-peptide-loaded major histocompatibility complex (pMHC). We then emphasize the role of mechanical forces in (i) allosteric strengthening of the TCR-pMHC interaction in amplifying ligand discrimination during T cell antigen recognition prior to activation and (ii) T cell interactions with the extracellular matrix. We then describe approaches to design eTCRs, CARs, and biomaterials to exploit TCR mechanosensitivity in order to potentiate T cell manufacturing and function in adoptive T cell immunotherapy.
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Affiliation(s)
| | | | - Yunhao Zhai
- Wyss Institute for Biologically Inspired Engineering, Boston, Massachusetts 02115, USA
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Shelby SA, Shaw TR, Veatch SL. Measuring the Co-Localization and Dynamics of Mobile Proteins in Live Cells Undergoing Signaling Responses. Methods Mol Biol 2023; 2654:1-23. [PMID: 37106172 PMCID: PMC10758997 DOI: 10.1007/978-1-0716-3135-5_1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/29/2023]
Abstract
Single molecule imaging in live cells enables the study of protein interactions and dynamics as they participate in signaling processes. When combined with fluorophores that stochastically transition between fluorescent and reversible dark states, as in super-resolution localization imaging, labeled molecules can be visualized in single cells over time. This improvement in sampling enables the study of extended cellular responses at the resolution of single molecule localization. This chapter provides optimized experimental and analytical methods used to quantify protein interactions and dynamics within the membranes of adhered live cells. Importantly, the use of pair-correlation functions resolved in both space and time allows researchers to probe interactions between proteins on biologically relevant distance and timescales, even though fluorescence localization methods typically require long times to assemble well-sampled reconstructed images. We describe an application of this approach to measure protein interactions in B cell receptor signaling and include sample analysis code for post-processing of imaging data. These methods are quantitative, sensitive, and broadly applicable to a range of signaling systems.
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Affiliation(s)
- Sarah A Shelby
- Program in Biophysics, University of Michigan, Ann Arbor, MI, USA
| | - Thomas R Shaw
- Program in Applied Physics, University of Michigan, Ann Arbor, MI, USA
| | - Sarah L Veatch
- Program in Biophysics, University of Michigan, Ann Arbor, MI, USA.
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Shannon MJ, Mace EM. Natural Killer Cell Integrins and Their Functions in Tissue Residency. Front Immunol 2021; 12:647358. [PMID: 33777044 PMCID: PMC7987804 DOI: 10.3389/fimmu.2021.647358] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2020] [Accepted: 02/16/2021] [Indexed: 12/12/2022] Open
Abstract
Integrins are transmembrane receptors associated with adhesion and migration and are often highly differentially expressed receptors amongst natural killer cell subsets in microenvironments. Tissue resident natural killer cells are frequently defined by their differential integrin expression compared to other NK cell subsets, and integrins can further localize tissue resident NK cells to tissue microenvironments. As such, integrins play important roles in both the phenotypic and functional identity of NK cell subsets. Here we review the expression of integrin subtypes on NK cells and NK cell subsets with the goal of better understanding how integrin selection can dictate tissue residency and mediate function from the nanoscale to the tissue environment.
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Affiliation(s)
| | - Emily M. Mace
- Department of Pediatrics, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, United States
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Shannon MJ, Pineau J, Griffié J, Aaron J, Peel T, Williamson DJ, Zamoyska R, Cope AP, Cornish GH, Owen DM. Differential nanoscale organisation of LFA-1 modulates T-cell migration. J Cell Sci 2019; 133:jcs.232991. [PMID: 31471459 PMCID: PMC7614863 DOI: 10.1242/jcs.232991] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2019] [Accepted: 08/21/2019] [Indexed: 11/20/2022] Open
Abstract
Effector T-cells rely on integrins to drive adhesion and migration to facilitate their immune function. The heterodimeric transmembrane integrin LFA-1 (αLβ2 integrin) regulates adhesion and migration of effector T-cells through linkage of the extracellular matrix with the intracellular actin treadmill machinery. Here, we quantified the velocity and direction of F-actin flow in migrating T-cells alongside single-molecule localisation of transmembrane and intracellular LFA-1. Results showed that actin retrograde flow positively correlated and immobile actin negatively correlated with T-cell velocity. Plasma membrane-localised LFA-1 forms unique nano-clustering patterns in the leading edge, compared to the mid-focal zone, of migrating T-cells. Deleting the cytosolic phosphatase PTPN22, loss-of-function mutations of which have been linked to autoimmune disease, increased T-cell velocity, and leading-edge co-clustering of pY397 FAK, pY416 Src family kinases and LFA-1. These data suggest that differential nanoclustering patterns of LFA-1 in migrating T-cells may instruct intracellular signalling. Our data presents a paradigm where T-cells modulate the nanoscale organisation of adhesion and signalling molecules to fine tune their migration speed, with implications for the regulation of immune and inflammatory responses.This article has an associated First Person interview with the first author of the paper.
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Affiliation(s)
- Michael J Shannon
- Department of Physics and Randall Centre for Cell and Molecular Biophysics, King's College London, London WC2R 2LS, UK
| | - Judith Pineau
- Department of Physics and Randall Centre for Cell and Molecular Biophysics, King's College London, London WC2R 2LS, UK
| | - Juliette Griffié
- Department of Physics and Randall Centre for Cell and Molecular Biophysics, King's College London, London WC2R 2LS, UK
| | - Jesse Aaron
- Advanced Imaging Center, HHMI Janelia Research Campus, Ashburn, VA 20147, USA
| | - Tamlyn Peel
- Centre for Inflammation Biology and Cancer Immunology, School of Immunology and Microbiological Sciences, King's College London, London SE1 1UL, UK
| | - David J Williamson
- Department of Physics and Randall Centre for Cell and Molecular Biophysics, King's College London, London WC2R 2LS, UK
| | - Rose Zamoyska
- School of Biological Sciences, University of Edinburgh, Edinburgh EH9 3FL, UK
| | - Andrew P Cope
- Centre for Inflammation Biology and Cancer Immunology, School of Immunology and Microbiological Sciences, King's College London, London SE1 1UL, UK
| | - Georgina H Cornish
- Centre for Inflammation Biology and Cancer Immunology, School of Immunology and Microbiological Sciences, King's College London, London SE1 1UL, UK
| | - Dylan M Owen
- Department of Physics and Randall Centre for Cell and Molecular Biophysics, King's College London, London WC2R 2LS, UK .,Institute of Immunology and Immunotherapy and Department of Mathematics and Centre for Membrane Proteins and Receptors (COMPARE), University of Birmingham, Birmingham B15 2TQ, UK
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Staszowska AD, Fox-Roberts P, Hirvonen LM, Peddie CJ, Collinson LM, Jones GE, Cox S. The Rényi divergence enables accurate and precise cluster analysis for localization microscopy. Bioinformatics 2018; 34:4102-4111. [PMID: 29868717 PMCID: PMC6247934 DOI: 10.1093/bioinformatics/bty403] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2017] [Accepted: 05/30/2018] [Indexed: 11/18/2022] Open
Abstract
Motivation Clustering analysis is a key technique for quantitatively characterizing structures in localization microscopy images. To build up accurate information about biological structures, it is critical that the quantification is both accurate (close to the ground truth) and precise (has small scatter and is reproducible). Results Here, we describe how the Rényi divergence can be used for cluster radius measurements in localization microscopy data. We demonstrate that the Rényi divergence can operate with high levels of background and provides results which are more accurate than Ripley’s functions, Voronoi tesselation or DBSCAN. Availability and implementation The data supporting this research and the software described are accessible at the following site: https://dx.doi.org/10.18742/RDM01-316. Correspondence and requests for materials should be addressed to the corresponding author. Supplementary information Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Adela D Staszowska
- Randall Centre for Cell and Molecular Biophysics, King's College London, London, UK
| | - Patrick Fox-Roberts
- Randall Centre for Cell and Molecular Biophysics, King's College London, London, UK
| | - Liisa M Hirvonen
- Randall Centre for Cell and Molecular Biophysics, King's College London, London, UK
| | - Christopher J Peddie
- Electron Microscopy Science Technology Platform, The Francis Crick Institute, London, UK
| | - Lucy M Collinson
- Electron Microscopy Science Technology Platform, The Francis Crick Institute, London, UK
| | - Gareth E Jones
- Randall Centre for Cell and Molecular Biophysics, King's College London, London, UK
| | - Susan Cox
- Randall Centre for Cell and Molecular Biophysics, King's College London, London, UK
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Ben-Akiva E, Meyer RA, Wilson DR, Green JJ. Surface engineering for lymphocyte programming. Adv Drug Deliv Rev 2017; 114:102-115. [PMID: 28501510 PMCID: PMC5688954 DOI: 10.1016/j.addr.2017.05.005] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2017] [Revised: 05/01/2017] [Accepted: 05/08/2017] [Indexed: 12/11/2022]
Abstract
The once nascent field of immunoengineering has recently blossomed to include approaches to deliver and present biomolecules to program diverse populations of lymphocytes to fight disease. Building upon improved understanding of the molecular and physical mechanics of lymphocyte activation, varied strategies for engineering surfaces to activate and deactivate T-Cells, B-Cells and natural killer cells are in preclinical and clinical development. Surfaces have been engineered at the molecular level in terms of the presence of specific biological factors, their arrangement on a surface, and their diffusivity to elicit specific lymphocyte fates. In addition, the physical and mechanical characteristics of the surface including shape, anisotropy, and rigidity of particles for lymphocyte activation have been fine-tuned. Utilizing these strategies, acellular systems have been engineered for the expansion of T-Cells and natural killer cells to clinically relevant levels for cancer therapies as well as engineered to program B-Cells to better combat infectious diseases.
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Affiliation(s)
- Elana Ben-Akiva
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA; Translational Tissue Engineering Center, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA; Institute for Nanobiotechnology, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA; Johns Hopkins Bloomberg~Kimmel Institute for Cancer Immunotherapy, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA
| | - Randall A Meyer
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA; Translational Tissue Engineering Center, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA; Institute for Nanobiotechnology, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA
| | - David R Wilson
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA; Translational Tissue Engineering Center, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA; Institute for Nanobiotechnology, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA
| | - Jordan J Green
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA; Translational Tissue Engineering Center, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA; Institute for Nanobiotechnology, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA; Johns Hopkins Bloomberg~Kimmel Institute for Cancer Immunotherapy, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA; Department of Materials Science and Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA; Department of Chemical and Biomolecular Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA; Department of Ophthalmology, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA; Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA; Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA.
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