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Toscano E, Cimmino E, Pennacchio FA, Riccio P, Poli A, Liu YJ, Maiuri P, Sepe L, Paolella G. Methods and computational tools to study eukaryotic cell migration in vitro. Front Cell Dev Biol 2024; 12:1385991. [PMID: 38887515 PMCID: PMC11180820 DOI: 10.3389/fcell.2024.1385991] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2024] [Accepted: 05/13/2024] [Indexed: 06/20/2024] Open
Abstract
Cellular movement is essential for many vital biological functions where it plays a pivotal role both at the single cell level, such as during division or differentiation, and at the macroscopic level within tissues, where coordinated migration is crucial for proper morphogenesis. It also has an impact on various pathological processes, one for all, cancer spreading. Cell migration is a complex phenomenon and diverse experimental methods have been developed aimed at dissecting and analysing its distinct facets independently. In parallel, corresponding analytical procedures and tools have been devised to gain deep insight and interpret experimental results. Here we review established experimental techniques designed to investigate specific aspects of cell migration and present a broad collection of historical as well as cutting-edge computational tools used in quantitative analysis of cell motion.
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Affiliation(s)
- Elvira Toscano
- Department of Molecular Medicine and Medical Biotechnology, Università Degli Studi di Napoli “Federico II”, Naples, Italy
- CEINGE Biotecnologie Avanzate Franco Salvatore, Naples, Italy
| | - Elena Cimmino
- Department of Molecular Medicine and Medical Biotechnology, Università Degli Studi di Napoli “Federico II”, Naples, Italy
| | - Fabrizio A. Pennacchio
- Laboratory of Applied Mechanobiology, Department of Health Sciences and Technology, Zurich, Switzerland
| | - Patrizia Riccio
- Department of Molecular Medicine and Medical Biotechnology, Università Degli Studi di Napoli “Federico II”, Naples, Italy
| | | | - Yan-Jun Liu
- Institutes of Biomedical Sciences, Fudan University, Shanghai, China
| | - Paolo Maiuri
- Department of Molecular Medicine and Medical Biotechnology, Università Degli Studi di Napoli “Federico II”, Naples, Italy
| | - Leandra Sepe
- Department of Molecular Medicine and Medical Biotechnology, Università Degli Studi di Napoli “Federico II”, Naples, Italy
| | - Giovanni Paolella
- Department of Molecular Medicine and Medical Biotechnology, Università Degli Studi di Napoli “Federico II”, Naples, Italy
- CEINGE Biotecnologie Avanzate Franco Salvatore, Naples, Italy
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Hicks DG, Speed TP, Yassin M, Russell SM. Maps of variability in cell lineage trees. PLoS Comput Biol 2019; 15:e1006745. [PMID: 30753182 PMCID: PMC6388934 DOI: 10.1371/journal.pcbi.1006745] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2018] [Revised: 02/25/2019] [Accepted: 01/02/2019] [Indexed: 11/19/2022] Open
Abstract
New approaches to lineage tracking have allowed the study of differentiation in multicellular organisms over many generations of cells. Understanding the phenotypic variability observed in these lineage trees requires new statistical methods. Whereas an invariant cell lineage, such as that for the nematode Caenorhabditis elegans, can be described by a lineage map, defined as the pattern of phenotypes overlaid onto the binary tree, a traditional lineage map is static and does not describe the variability inherent in the cell lineages of higher organisms. Here, we introduce lineage variability maps which describe the pattern of second-order variation in lineage trees. These maps can be undirected graphs of the partial correlations between every lineal position, or directed graphs showing the dynamics of bifurcated patterns in each subtree. We show how to infer these graphical models for lineages of any depth from sample sizes of only a few pedigrees. This required developing the generalized spectral analysis for a binary tree, the natural framework for describing tree-structured variation. When tested on pedigrees from C. elegans expressing a marker for pharyngeal differentiation potential, the variability maps recover essential features of the known lineage map. When applied to highly-variable pedigrees monitoring cell size in T lymphocytes, the maps show that most of the phenotype is set by the founder naive T cell. Lineage variability maps thus elevate the concept of the lineage map to the population level, addressing questions about the potency and dynamics of cell lineages and providing a way to quantify the progressive restriction of cell fate with increasing depth in the tree.
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Affiliation(s)
- Damien G. Hicks
- Centre for Micro-Photonics, Department of Physics and Astronomy, Swinburne University of Technology, Hawthorn, Victoria 3122, Australia
- Bioinformatics Division, Walter & Eliza Hall Institute of Medical Research, Parkville, Victoria 3052, Australia
| | - Terence P. Speed
- Bioinformatics Division, Walter & Eliza Hall Institute of Medical Research, Parkville, Victoria 3052, Australia
| | - Mohammed Yassin
- Peter MacCallum Cancer Centre, Parkville, Victoria 3052, Australia
| | - Sarah M. Russell
- Centre for Micro-Photonics, Department of Physics and Astronomy, Swinburne University of Technology, Hawthorn, Victoria 3122, Australia
- Peter MacCallum Cancer Centre, Parkville, Victoria 3052, Australia
- Department of Pathology and Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Victoria 3050, Australia
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Abstract
Asymmetric cell division (ACD) controls cell fate decisions in model organisms such as Drosophila and C. elegans and has recently emerged as a mediator of T cell fate and hematopoiesis. The most appropriate methods for assessing ACD in T cells are still evolving. Here we describe the methods currently applied to monitor and measure ACD of developing and activated T cells. We provide an overview of approaches for capturing cells in the process of cytokinesis in vivo, ex vivo, or during in vitro culture. We provide methods for in vitro fixed immunofluorescent staining and for time-lapse analysis. We provide an overview of the different approaches for quantification of ACD of lymphocytes, discuss the pitfalls and concerns in interpretation of these analyses, and provide detailed methods for the quantification of ACD in our group.
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Affiliation(s)
- Mirren Charnley
- Faculty of Science, Engineering and Technology, Centre for Micro-Photonics, Swinburne University of Technology, Mail No H74, PO Box 218, Hawthorn, VIC, 3122, Australia
- Immune Signalling Laboratory, Peter MacCallum Cancer Centre, East Melbourne, VIC, 3002, Australia
- Faculty of Science, Engineering and Technology, Biointerface Engineering, Swinburne University of Technology, Hawthorn, VIC, 3122, Australia
| | - Sarah M Russell
- Faculty of Science, Engineering and Technology, Centre for Micro-Photonics, Swinburne University of Technology, Mail No H74, PO Box 218, Hawthorn, VIC, 3122, Australia.
- Immune Signalling Laboratory, Peter MacCallum Cancer Centre, East Melbourne, VIC, 3002, Australia.
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, VIC, Australia.
- Department of Pathology, The University of Melbourne, Parkville, VIC, 3052, Australia.
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Turnbull L, Toyofuku M, Hynen AL, Kurosawa M, Pessi G, Petty NK, Osvath SR, Cárcamo-Oyarce G, Gloag ES, Shimoni R, Omasits U, Ito S, Yap X, Monahan LG, Cavaliere R, Ahrens CH, Charles IG, Nomura N, Eberl L, Whitchurch CB. Explosive cell lysis as a mechanism for the biogenesis of bacterial membrane vesicles and biofilms. Nat Commun 2016; 7:11220. [PMID: 27075392 PMCID: PMC4834629 DOI: 10.1038/ncomms11220] [Citation(s) in RCA: 387] [Impact Index Per Article: 48.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2015] [Accepted: 03/02/2016] [Indexed: 02/07/2023] Open
Abstract
Many bacteria produce extracellular and surface-associated components such as membrane vesicles (MVs), extracellular DNA and moonlighting cytosolic proteins for which the biogenesis and export pathways are not fully understood. Here we show that the explosive cell lysis of a sub-population of cells accounts for the liberation of cytosolic content in Pseudomonas aeruginosa biofilms. Super-resolution microscopy reveals that explosive cell lysis also produces shattered membrane fragments that rapidly form MVs. A prophage endolysin encoded within the R- and F-pyocin gene cluster is essential for explosive cell lysis. Endolysin-deficient mutants are defective in MV production and biofilm development, consistent with a crucial role in the biogenesis of MVs and liberation of extracellular DNA and other biofilm matrix components. Our findings reveal that explosive cell lysis, mediated through the activity of a cryptic prophage endolysin, acts as a mechanism for the production of bacterial MVs.
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Affiliation(s)
- Lynne Turnbull
- The ithree institute, University of Technology Sydney, Ultimo, New South Wales 2007, Australia
| | - Masanori Toyofuku
- Department of Life and Environmental Sciences, University of Tsukuba, Tsukuba, Ibaraki 305-8572, Japan.,Department of Plant and Microbial Biology, University of Zurich, Zürich 8008, Switzerland
| | - Amelia L Hynen
- The ithree institute, University of Technology Sydney, Ultimo, New South Wales 2007, Australia
| | - Masaharu Kurosawa
- Department of Life and Environmental Sciences, University of Tsukuba, Tsukuba, Ibaraki 305-8572, Japan
| | - Gabriella Pessi
- Department of Plant and Microbial Biology, University of Zurich, Zürich 8008, Switzerland
| | - Nicola K Petty
- The ithree institute, University of Technology Sydney, Ultimo, New South Wales 2007, Australia
| | - Sarah R Osvath
- The ithree institute, University of Technology Sydney, Ultimo, New South Wales 2007, Australia
| | - Gerardo Cárcamo-Oyarce
- Department of Plant and Microbial Biology, University of Zurich, Zürich 8008, Switzerland
| | - Erin S Gloag
- The ithree institute, University of Technology Sydney, Ultimo, New South Wales 2007, Australia
| | - Raz Shimoni
- The ithree institute, University of Technology Sydney, Ultimo, New South Wales 2007, Australia
| | - Ulrich Omasits
- Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zürich 8093, Switzerland
| | - Satoshi Ito
- Department of Life and Environmental Sciences, University of Tsukuba, Tsukuba, Ibaraki 305-8572, Japan
| | - Xinhui Yap
- The ithree institute, University of Technology Sydney, Ultimo, New South Wales 2007, Australia
| | - Leigh G Monahan
- The ithree institute, University of Technology Sydney, Ultimo, New South Wales 2007, Australia
| | - Rosalia Cavaliere
- The ithree institute, University of Technology Sydney, Ultimo, New South Wales 2007, Australia
| | - Christian H Ahrens
- Agroscope, Institute for Plant Production Sciences, Research Group Molecular Diagnostics, Genomics and Bioinformatics, &Swiss Institute of Bioinformatics (SIB), Wädenswil 8820, Switzerland
| | - Ian G Charles
- The ithree institute, University of Technology Sydney, Ultimo, New South Wales 2007, Australia
| | - Nobuhiko Nomura
- Department of Life and Environmental Sciences, University of Tsukuba, Tsukuba, Ibaraki 305-8572, Japan
| | - Leo Eberl
- Department of Plant and Microbial Biology, University of Zurich, Zürich 8008, Switzerland
| | - Cynthia B Whitchurch
- The ithree institute, University of Technology Sydney, Ultimo, New South Wales 2007, Australia
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Pham K, Shimoni R, Charnley M, Ludford-Menting MJ, Hawkins ED, Ramsbottom K, Oliaro J, Izon D, Ting SB, Reynolds J, Lythe G, Molina-Paris C, Melichar H, Robey E, Humbert PO, Gu M, Russell SM. Asymmetric cell division during T cell development controls downstream fate. J Cell Biol 2015; 210:933-50. [PMID: 26370500 PMCID: PMC4576854 DOI: 10.1083/jcb.201502053] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
T cell precursors undergo asymmetric cell division after T cell receptor genomic recombination, with stromal cell cues controlling the differential inheritance of fate determinants Numb and α-Adaptin by the daughters of a dividing DN3a T cell precursor. During mammalian T cell development, the requirement for expansion of many individual T cell clones, rather than merely expansion of the entire T cell population, suggests a possible role for asymmetric cell division (ACD). We show that ACD of developing T cells controls cell fate through differential inheritance of cell fate determinants Numb and α-Adaptin. ACD occurs specifically during the β-selection stage of T cell development, and subsequent divisions are predominantly symmetric. ACD is controlled by interaction with stromal cells and chemokine receptor signaling and uses a conserved network of polarity regulators. The disruption of polarity by deletion of the polarity regulator, Scribble, or the altered inheritance of fate determinants impacts subsequent fate decisions to influence the numbers of DN4 cells arising after the β-selection checkpoint. These findings indicate that ACD enables the thymic microenvironment to orchestrate fate decisions related to differentiation and self-renewal.
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Affiliation(s)
- Kim Pham
- Immune Signalling Laboratory, Peter MacCallum Cancer Centre, East Melbourne, Victoria 3002, Australia Centre for Micro-Photonics, Faculty of Science, Engineering, and Technology, Swinburne University of Technology, Hawthorn, Victoria 3122, Australia
| | - Raz Shimoni
- Immune Signalling Laboratory, Peter MacCallum Cancer Centre, East Melbourne, Victoria 3002, Australia Centre for Micro-Photonics, Faculty of Science, Engineering, and Technology, Swinburne University of Technology, Hawthorn, Victoria 3122, Australia
| | - Mirren Charnley
- Immune Signalling Laboratory, Peter MacCallum Cancer Centre, East Melbourne, Victoria 3002, Australia Centre for Micro-Photonics, Faculty of Science, Engineering, and Technology, Swinburne University of Technology, Hawthorn, Victoria 3122, Australia Industrial Research Institute Swinburne, Faculty of Science, Engineering, and Technology, Swinburne University of Technology, Hawthorn, Victoria 3122, Australia
| | - Mandy J Ludford-Menting
- Immune Signalling Laboratory, Peter MacCallum Cancer Centre, East Melbourne, Victoria 3002, Australia Centre for Micro-Photonics, Faculty of Science, Engineering, and Technology, Swinburne University of Technology, Hawthorn, Victoria 3122, Australia
| | - Edwin D Hawkins
- Immune Signalling Laboratory, Peter MacCallum Cancer Centre, East Melbourne, Victoria 3002, Australia
| | - Kelly Ramsbottom
- Immune Signalling Laboratory, Peter MacCallum Cancer Centre, East Melbourne, Victoria 3002, Australia
| | - Jane Oliaro
- Immune Signalling Laboratory, Peter MacCallum Cancer Centre, East Melbourne, Victoria 3002, Australia Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Victoria 3010, Australia
| | - David Izon
- St. Vincent's Institute of Medical Research, Fitzroy, Victoria 3065, Australia
| | - Stephen B Ting
- Immune Signalling Laboratory, Peter MacCallum Cancer Centre, East Melbourne, Victoria 3002, Australia
| | - Joseph Reynolds
- Department of Applied Mathematics, School of Mathematics, University of Leeds, Leeds LS2 9JT, England, UK
| | - Grant Lythe
- Department of Applied Mathematics, School of Mathematics, University of Leeds, Leeds LS2 9JT, England, UK
| | - Carmen Molina-Paris
- Department of Applied Mathematics, School of Mathematics, University of Leeds, Leeds LS2 9JT, England, UK
| | - Heather Melichar
- Division of Immunology and Pathogenesis, Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA 94720
| | - Ellen Robey
- Division of Immunology and Pathogenesis, Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA 94720
| | - Patrick O Humbert
- Cell Cycle and Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, East Melbourne, Victoria 3002, Australia Department of Pathology, University of Melbourne, Parkville, Victoria 3010, Australia Department of Biochemistry and Molecular Biology, University of Melbourne, Parkville, Victoria 3010, Australia Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Victoria 3010, Australia
| | - Min Gu
- Centre for Micro-Photonics, Faculty of Science, Engineering, and Technology, Swinburne University of Technology, Hawthorn, Victoria 3122, Australia
| | - Sarah M Russell
- Immune Signalling Laboratory, Peter MacCallum Cancer Centre, East Melbourne, Victoria 3002, Australia Centre for Micro-Photonics, Faculty of Science, Engineering, and Technology, Swinburne University of Technology, Hawthorn, Victoria 3122, Australia Department of Pathology, University of Melbourne, Parkville, Victoria 3010, Australia Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Victoria 3010, Australia
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Clonal expansion under the microscope: studying lymphocyte activation and differentiation using live‐cell imaging. Immunol Cell Biol 2015; 94:242-9. [DOI: 10.1038/icb.2015.104] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2015] [Revised: 11/12/2015] [Accepted: 11/16/2015] [Indexed: 12/24/2022]
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Piccinini F, Kiss A, Horvath P. CellTracker (not only) for dummies. ACTA ACUST UNITED AC 2015; 32:955-7. [PMID: 26589273 DOI: 10.1093/bioinformatics/btv686] [Citation(s) in RCA: 74] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2015] [Accepted: 11/14/2015] [Indexed: 12/15/2022]
Abstract
MOTIVATION Time-lapse experiments play a key role in studying the dynamic behavior of cells. Single-cell tracking is one of the fundamental tools for such analyses. The vast majority of the recently introduced cell tracking methods are limited to fluorescently labeled cells. An equally important limitation is that most software cannot be effectively used by biologists without reasonable expertise in image processing. Here we present CellTracker, a user-friendly open-source software tool for tracking cells imaged with various imaging modalities, including fluorescent, phase contrast and differential interference contrast (DIC) techniques. AVAILABILITY AND IMPLEMENTATION CellTracker is written in MATLAB (The MathWorks, Inc., USA). It works with Windows, Macintosh and UNIX-based systems. Source code and graphical user interface (GUI) are freely available at: http://celltracker.website/ CONTACT horvath.peter@brc.mta.hu SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Filippo Piccinini
- Advanced Research Center on Electronic Systems for Information and Communication Technologies "E. De Castro" (ARCES), University of Bologna, I-40125 Bologna, Italy
| | - Alexa Kiss
- Advanced Research Center on Electronic Systems for Information and Communication Technologies "E. De Castro" (ARCES), University of Bologna, I-40125 Bologna, Italy
| | - Peter Horvath
- Synthetic and System Biology Unit, Hungarian Academia of Sciences, Biological Research Center (BRC), H-6726 Szeged, Hungary and Institute for Molecular Medicine Finland, University of Helsinki, FI-00014 Helsinki, Finland
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Shimoni R, Pham K, Yassin M, Ludford-Menting MJ, Gu M, Russell SM. Normalized polarization ratios for the analysis of cell polarity. PLoS One 2014; 9:e99885. [PMID: 24963926 PMCID: PMC4070888 DOI: 10.1371/journal.pone.0099885] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2014] [Accepted: 05/11/2014] [Indexed: 12/01/2022] Open
Abstract
The quantification and analysis of molecular localization in living cells is increasingly important for elucidating biological pathways, and new methods are rapidly emerging. The quantification of cell polarity has generated much interest recently, and ratiometric analysis of fluorescence microscopy images provides one means to quantify cell polarity. However, detection of fluorescence, and the ratiometric measurement, is likely to be sensitive to acquisition settings and image processing parameters. Using imaging of EGFP-expressing cells and computer simulations of variations in fluorescence ratios, we characterized the dependence of ratiometric measurements on processing parameters. This analysis showed that image settings alter polarization measurements; and that clustered localization is more susceptible to artifacts than homogeneous localization. To correct for such inconsistencies, we developed and validated a method for choosing the most appropriate analysis settings, and for incorporating internal controls to ensure fidelity of polarity measurements. This approach is applicable to testing polarity in all cells where the axis of polarity is known.
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Affiliation(s)
- Raz Shimoni
- Centre for Micro-Photonics, Faculty of Science, Engineering and Technology, Swinburne University of Technology, Hawthorn, Victoria, Australia
- Immune Signalling Laboratory, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia
| | - Kim Pham
- Centre for Micro-Photonics, Faculty of Science, Engineering and Technology, Swinburne University of Technology, Hawthorn, Victoria, Australia
- Immune Signalling Laboratory, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia
| | - Mohammed Yassin
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Victoria, Australia
- Immune Signalling Laboratory, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia
| | - Mandy J. Ludford-Menting
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Victoria, Australia
- Immune Signalling Laboratory, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia
| | - Min Gu
- Centre for Micro-Photonics, Faculty of Science, Engineering and Technology, Swinburne University of Technology, Hawthorn, Victoria, Australia
| | - Sarah M. Russell
- Centre for Micro-Photonics, Faculty of Science, Engineering and Technology, Swinburne University of Technology, Hawthorn, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Victoria, Australia
- Immune Signalling Laboratory, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia
- * E-mail:
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Roybal KT, Sinai P, Verkade P, Murphy RF, Wülfing C. The actin-driven spatiotemporal organization of T-cell signaling at the system scale. Immunol Rev 2014; 256:133-47. [PMID: 24117818 DOI: 10.1111/imr.12103] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
T cells are activated through interaction with antigen-presenting cells (APCs). During activation, receptors and signaling intermediates accumulate in diverse spatiotemporal distributions. These distributions control the probability of signaling interactions and thus govern information flow through the signaling system. Spatiotemporally resolved system-scale investigation of signaling can extract the regulatory information thus encoded, allowing unique insight into the control of T-cell function. Substantial technical challenges exist, and these are briefly discussed herein. While much of the work assessing T-cell spatiotemporal organization uses planar APC substitutes, we focus here on B-cell APCs with often stark differences. Spatiotemporal signaling distributions are driven by cell biologically distinct structures, a large protein assembly at the interface center, a large invagination, the actin-supported interface periphery as extended by smaller individual lamella, and a newly discovered whole-interface actin-driven lamellum. The more than 60 elements of T-cell activation studied to date are dynamically distributed between these structures, generating a complex organization of the signaling system. Signal initiation and core signaling prefer the interface center, while signal amplification is localized in the transient lamellum. Actin dynamics control signaling distributions through regulation of the underlying structures and drive a highly undulating T-cell/APC interface that imposes substantial constraints on T-cell organization. We suggest that the regulation of actin dynamics, by controlling signaling distributions and membrane topology, is an important rheostat of T-cell signaling.
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Affiliation(s)
- Kole T Roybal
- Department of Immunology, UT Southwestern Medical Center, Dallas, TX, USA
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Ramsbottom KM, Hawkins ED, Shimoni R, McGrath M, Chan CJ, Russell SM, Smyth MJ, Oliaro J. Cutting Edge: DNAX Accessory Molecule 1–Deficient CD8+ T Cells Display Immunological Synapse Defects That Impair Antitumor Immunity. THE JOURNAL OF IMMUNOLOGY 2013; 192:553-7. [DOI: 10.4049/jimmunol.1302197] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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