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Visualizing Immune System Complexity Michael L. Dustin (14 April 2009) Science Signaling 2 (66), mr4. [DOI: 10.1126/scisignal.266mr4] The following resources related to this article are available online at http://stke.sciencemag.org. This information is current as of 22 October 2010. Article Tools Related Content Glossary Permissions The editors suggest related resources on Science's sites: http://stke.sciencemag.org/cgi/content/abstract/sigtrans;3/132/pe24 http://stke.sciencemag.org/cgi/content/abstract/sigtrans;3/105/eg2 http://stke.sciencemag.org/cgi/content/abstract/sigtrans;2/77/ec217 http://stke.sciencemag.org http://stke.sciencemag.org/cgi/content/abstract/sigtrans;2/68/ec149 http://stke.sciencemag.org/cgi/content/abstract/sigtrans;2/66/eg4 http://stke.sciencemag.org/cgi/content/abstract/sigtrans;2/66/pt2 This article cites 23 articles, 12 of which can be accessed for free: http://stke.sciencemag.org/cgi/content/full/sigtrans;2/66/mr4#otherarticles Look up definitions for abbreviations and terms found in this article: http://stke.sciencemag.org/glossary/ Obtain information about reproducing this article: http://www.sciencemag.org/about/permissions.dtl Science Signaling (ISSN 1937-9145) is published weekly, except the last week in December, by the American Association for the Advancement of Science, 1200 New York Avenue, NW, Washington, DC 20005. Copyright 2008 by the American Association for the Advancement of Science; all rights reserved. Downloaded from stke.sciencemag.org on October 22, 2010 References Visit the online version of this article to access the personalization and article tools: http://stke.sciencemag.org/cgi/content/full/sigtrans;2/66/mr4 MEETING REPORT IMMUNOLOGY Visualizing Immune System Complexity Michael L. Dustin A report on the EMBO workshop “Visualizing Immune System Complexity,” Centre d’Immunologie Marseille-Luminy, Marseille, France, 15 to 17 January 2009. Published 14 April 2009; Volume 2 Issue 66 mr4 New Tools for the Next Generation of Researchers The European Molecular Biology Organization (EMBO) workshop Visualizing Immune System Complexity presented many exciting views of immunity, from single molecules to whole organs, and occurred just a week after a once-in-a-century blizzard had blanketed the dramatic limestone spires of Les Calanques with snow. Lena Alexopoulou, Hai-Tao He, and Didier Marguet, of Centre d’Immunologie MarseilleLuminy (CIML), and I organized the meeting. In his introductory remarks Eric Vivier, the director of CIML, pointed out that advances in imaging technology and equally sophisticated analytical and modeling methods were bringing us closer to addressing some enduring problems in immunology, from receptor function to patient care. An important aspect for the attendees, many of whom were students of the Luminy Advanced Immunology Course, is that many technologies that would have been the purview of a small biophysics elite a few years ago are available to a new generation of computersavvy young scientists who can access powerful commercial imaging systems through expanding core facilities in many research centers. The meeting was divided into sessions on the molecular, cellular, and whole-organism level, and a keynote talk by Diane Mathis (Harvard University, Division of Molecular Pathogenesis, Skirball Institute of Biomolecular Medicine, New York University, New York, NY 10016, USA. E-mail, michael.dustin@med.nyu.edu Boston, USA) presented challenges for bringing these advances to patient care. Modeling Biology, a Two-Way Street The meeting emphasized multidisciplinary modeling and simulation approaches with talks by Rob de Boer (Utrecht University, the Netherlands), Carsten Watzl (University of Heidelberg, Germany), and Arup Chakraborty (Massachusetts Institute of Technology, Cambridge, USA). De Boer discussed his cellular Potts model for simulating the natural movement of naïve T lymphocytes (T cells) and dendritic cells (DCs) within lymphoid tissues, which was f irst described by Michael Cahalan’s laboratory (University of California, Irvine, USA) (1). This simulation incorporates experimental observations and describes cells as occupying space and having defined surface energies that govern the cellular movements of advancing and retracting, as well as cell-cell interactions. The movements and interactions are then simulated such that energy is minimized. With simple rules, he simulated the movement of T cells and DCs and predicted behaviors that had not yet been observed, like microstreams of similarly oriented cells, which were then verified experimentally (2). These simulations will be useful in addressing important questions, such as calculating how long it takes rare specific T cells to find a pathogen and determining the requirements for antigen-dependent arrest of T cell movement—computational results that will require validation through experimental observations. Watzl applied a mathematical modeling approach to problems in signaling in natural killer (NK) cells. NK cells integrated both positive and negative signals (3). By including positive and negative feedback in his model, Watzl accounted for the dominance of inhibitory signaling over a large range of inhibitory receptor densities, which is important to avoid self-injury. Continuing the NK cell theme, Daniel Davis (Imperial College London, UK) reported that, in addition to the conventional immunological synapses, signals initiated by the interaction of the ligand MICA with the positive signaling receptor NKG2D can be maintained by long nanotubes connecting cells that otherwise appeared to have broken off interaction (4). This is a twist that might require adjustments to signaling models with spatial components because the nanotubes may allow signaling to persist even after cells appear to have separated. Returning to T cells, Chakraborty described how the mechanism of Ras activation lends itself to bistability and switchlike behavior. In his model, the key to bistability is the priming of the Ras guanine nucleotide exchange factor (GEF) SOS with active Ras that is generated by the diacylglycerol (DAG)–activated GEF RasGRP. This model explains the switchlike behavior of Ras in negative selection when stronger ligands provide robust activation of phospholipase C–γ (PLC-γ) (5). DAG may also be produced by PLD1 activation that is dependent on the integrin LFA-1 (lymphocyte function-associated antigen–1), and this may also be important in activating RasGRP at the plasma membrane, as described by Mark Philips (New York University School of Medicine, New York, USA) (6). Philips also discussed the highly compartmentalized process of the posttranslational modification of Ras and of Ras signaling in T cells in which RasGRP is activated on the Golgi by T cell receptor (TCR) stimulation, but requires the LFA-1–dependent PLD1 signaling for activation at the plasma membrane. Jacques Nunes (Centre de Recherche en Cancérologie de Marseille, France) introduced additional negative regulation of Ras by Dok4, a Ras GTPase-activating protein (GAP)–associated protein, the recruitment www.SCIENCESIGNALING.org 14 April 2009 Vol 2 Issue 66 mr4 1 Downloaded from stke.sciencemag.org on October 22, 2010 The European Molecular Biology Organization (EMBO) meeting Visualizing Immune System Complexity, held in January 2009, covered multiple scales, from imaging single molecules to imaging whole animals. In addition to experimental details, there was an emphasis on modeling both for data analysis and as a predictive tool to support experimental design. Imaging technologies discussed included total internal reflection fluorescence microscopy, fluorescence correlation spectroscopy, two-photon laser scanning microscopy, and magnetic resonance imaging. The biological systems included basic aspects of adaptive and innate immunity. The type 1 diabetes model was used to illustrate how a human disease was dissected at all the scales, from single-molecule analysis of the interactions of T cell receptors with peptide-loaded major histocompatibility complexes to dynamics of immune cell infiltrates by intravital microscopy, as well as the application of imaging diagnostics in humans. MEETING REPORT of pMHC interacting with live T cells in supported bilayers also containing the adhesion molecule ICAM-1 (intercellular cell adhesion molecule–1) and the costimulatory ligand CD80. Because the fluorophores on the single MHC molecules bleach rapidly, only short sequences of molecular positions are obtained. Computations from many of these short runs allow a twodimensional (2D) affinity for TCR-pMHC interactions to be calculated, but specific assumptions need to be made about the area in which TCR and MHC complexes can interact. Mark Davis (Stanford University, Stanford, USA) reported results from single-molecule fluorescence resonance energy transfer experiments, suggesting that the duration of TCR-pMHC interactions in the immunological synapse is about onetenth as long as in solution. This decrease in half-life required F-actin. Data from our laboratory and others show that these interactions take place in small microclusters, which makes the modeling more complicated. The talks in this vein revealed a bidirectional impact of modeling on our understanding of immune complexity as an aid in prediction and interpretation. Lymphocytes in Action at Multiple Scales Lymphocyte function and kinesis are intertwined. These events are amenable to analysis by microscopic imaging because functional modules from signaling microclusters to F-actin–rich filopodia are readily visualized and quantified. The challenge with immune cells is that they are relatively small compared with other cellular models, and various strategies to overcome this and other challenges were presented. One way to parse submicrometer lymphocyte str uctures was through nanofabrication. Ruth Diez-Ahedo (GarciaParajo laboratory, Institute for Bioengineering of Catalonia, Barcelona) and Barbara Baird (Cornell University, Ithaca, USA) used nanofabrication to observe and manipulate patterns of ligands to study assembly of integrin and immunoglobulin E (IgE) Fc receptor clusters (9). As described by Diez-Ahedo, integrin movement into nanoclusters and ICAM-1–dependent nanocluster assembly into microclusters were diffusive, rather than directed, events. Baird discussed an innovative use of waveguides (holes in opaque substrates that are smaller than the wavelength of light) to determine if cells can generate nanoscale protrusions, which could then be subject to single-molecule measurements. Determining the initial nanoscale organization of receptors was also an important topic. Rachel Evans (Hogg laboratory, Cancer Research UK, London) showed that the leading edge of migrating T cells is particularly rich in active conformations of LFA-1 that are in a complex with Lck and ZAP-70. These active LFA-1 molecules are located in microclusters. Diffusion and cytoskeletal interactions are both important for cluster formation and stability. The importance of diffusion in receptor cluster formation was also highlighted by Agniezka EssenglingOzdoba (Figdor laboratory, Nijmegen Centre for Molecular Life Sciences, the Netherlands) for ALCAM (activated leukocyte cell adhesion molecule), but the specific manner in which rebinding to actin in the cluster stabilizes adhesion is not entirely understood (10). Receptor clustering is not limited to lymphocytes, but also occurs on cells with which lymphocytes interact. With dynamic fluorescence methods, Olga Barreiro (Sanchez-Madrid laboratory, National Center of Cardiovascular Research, Madrid, Spain) provided evidence for domains organized by tetraspanins that contain adhesion molecules VCAM (vascular cell adhesion molecule) and ICAM-1 on endothelial cells that are involved in leukocyte attachment to endothelial cells (11). M. Davis and Baird discussed the use of an iterative single-molecule imaging process called photoactivated localization microscopy to detect steady-state nanoclusters of TCR and FcR. M. Davis proposed a model in which all proteins exist in discrete islands that allow basal segregation and liganddependent merging of specific classes of transmembrane and lipid-modified proteins to form signaling microclusters. In future, it will be important to reconcile results from high-resolution static imaging methods and dynamic approaches that are not as clearly supportive of static preclustering. How cytoskeletal dynamics and vesicular trafficking influence the formation of the immunological synapse and regulate TCR signaling was also an active area. Alcover showed that knockdown of ezrin seemed to prolong TCR signaling by preventing SLP-76 microcluster transport on microtubules. D. Davis showed evidence that vesicles may transport LAT (linker for activation of T cells), which is critical for TCR signaling, to various plasma membrane locations. The importance of vesicle trafficking is also emphasized by evidence reported by my laboratory and Kumiko Sakata-Sogawa www.SCIENCESIGNALING.org 14 April 2009 Vol 2 Issue 66 mr4 2 Downloaded from stke.sciencemag.org on October 22, 2010 of which is mediated by lipids near the immunological synapse (7). Ron Germain (National Institutes of Health, Bethesda, USA) described Simmune, a software suite designed to democratize mathematical modeling by making it available to any biologist who can schematize a putative signaling network (http://www3.niaid.nih.gov/labs/aboutlabs/ psiim/computationalBiology/). Such modeling efforts require reliable data on the numbers of each molecule present in the cell. For example, the kinase ZAP-70 is present at more that 106 copies per T cell; perhaps this many are needed in relation to the ~500,000 immunotyrosine-based activated motifs (ITAMs) present in the ~50,000 TCR complexes. With Simmune, Germaine’s group identified an additional component of the switchlike response of Ras signaling, the positive feedback from the Ras pathway effector extracellular signal–regulated kinase (ERK) that protects the Src family kinase Lck from inhibition by the tyrosine phosphatase Shp-1. Germain’s efforts complement other efforts to make modeling tools more accessible, like the Virtual Cell project of the Center for Cell Analysis and Modeling at the University of Connecticut (http://www.ccam.uchc.edu/). In addition to simulation methods, mathematical modeling can be used to go from stochastic single-molecule data to deterministic parameters like kinetic and equilibrium rates. Cheng Zhu (Georgia Institute of Technology, Atlanta, USA) and Marguet described two very different types of single-molecule measurements—Zhu the detection of single intermolecular interactions in the interface between two cells after a defined period and area of interaction, and Marguet the detection of single fluorescently tagged molecules in membrane nanodomains by fluorescence correlation spectroscopy. In both of these data sets, the raw data consist of a series of 0 or 1 events that appear stochastic, but when an appropriate mathematical model is applied, an enormous amount of information can be extracted. For example, Zhu described the impact of CD8 interaction on the interactions between the TCR and peptide-bound major histocompatibility complex (pMHC) (8). Marguet determined that association of Fas with plasma membrane nanodomains was dynamic and that domains were ~80 nm in size. Stephan Wieser (Johannes Kepler University, Linz, Austria) performed high-speed single-molecule total internal reflection fluorescence imaging MEETING REPORT member of the Toll-like receptor family and recognizes bacterial DNA (15). Thus, it was surprising that TLR9-deficient mice succumb to autoimmunity (16), and this led to further curiosity about crosstalk in endosomal compartments. Alexopoulou reported that activation of TLR8 decreases the activity of TLR7, leading to compensation in TLR8-deficient mice. In addition to innate immune responses mediated by the TLR family of receptors, there are TLRindependent responses that involve a multiprotein complex called the inflammasome, which include proteins, such as NALP family members, that recognize pathogenic molecular patterns. Latz presented data on the mechanisms by which inflammasomes with the molecular pattern receptors NALP3 or AIM2 are activated. He presented studies demonstrating that crystals of monosodium uric acid or silica can damage lysosomes in innate immune cells (17). Lysosomal damage leads to activation of NALP3, resulting in a state referred to as pyroptosis in which interleukin-1β (IL-1β) is activated and released. Latz furthermore demonstrated how immune cells form an inflammasome with the protein AIM2, which recognizes double-stranded DNA (dsDNA) introduced into the cytsosol by virus infection or transfection (18). The application of two-photon laser scanning microscopy to questions in immunology has moved from its initial focus on lymph nodes and the thymus into all corners of the body where immune complexity is in evidence. Talks by Ellen Robey (Berkeley), Philippe Bousso (Paris), and Germain highlighted work in the brain, tumors, and infectious foci. Robey described work on toxoplasma infection in the brain and showed images of neutrophil swarming (19) and T cell infiltration of the central nervous system. Germain pointed out that neutrophils also swarm while in the process of uptake of Leishmania organisms after introduction by sand fly bites. I presented collaborative work with Dorian McGavern (National Institutes of Health, Bethesda, USA) on meningitis caused by lymphocytic choriomeningitis virus infection in which myelomonocytic cells were recruited to the site of infection by CD8+ T cells, leading to fatal immunopathology (20). Bousso elaborated on the requirements for the antigen stop signal in lymph nodes (introduced at the beginning of the meeting by de Boer). He showed that for T cells to pause or stop when they encounter a DC required the continuous presence of antigen, and competition for antigen reduced the stable interaction of a T cell with the DC. Germain also emphasized the importance of chemokine deposition on the reticular fiber network in driving migration (21, 22). Intravital microscopy has offered a unique window into issues of vaccination, host response, and pathogenesis: It is likely that we are only now scratching the surface of the complexity in cellular responses involved in these events. Investigations also extended to the genesis of these thymic and lymph tissues, and efforts to reconstitute them in vitro in work presented by Dimitris Kioussis (Medical Research Council, London), Vivier, and Stefanie Siegert (Luther laboratory, University of Lausanne, Epalinges, Switzerland). Kioussis has identified the receptor RET, which is present in neural and lymphoid cells, and its ligands as key factors in the ability of lymphoid-tissue inducer cells to induce aggregates with CD11c + cells and VCAM+ stromal cells that are the seed for lymphoid tissues. These lymphoid aggregates were revealed to be highly dynamic. Vivier made an intriguing connection between lymphoid aggregates in the gut wall called cryptopatches and NKp46+ and RORgt+ cells that suggested a connection between cells with NK markers and ongoing lymphoid tissue generation. The study of the immune system has been driven forward over the years by its in vitro systems. Siegert has taken early steps to reconstitute the stromal cell compartment of lymph nodes in vitro by culturing VCAM+ gp38+ cells that secrete chemokines CCL19 and CCL21 and cytokine IL-7. These cells were cultured in a polyurethane sponge in which 3D fiber networks were observed. Incorporating stromal cells into in vitro cultures of T cell with DCs and antigens may provide advantages in studies of effector differentiation and memory in vitro. Bringing It Together for Type 1 Diabetes I have saved the keynote talk for last because Mathis was the only speaker to present a story that spanned from a cellular model to a mouse model to a human disease. The motivation for this work is type 1 diabetes, an autoimmune disease of the pancreatic islets that strikes unpredictably, often in childhood, and is usually not detected until it is too late to preserve the islet mass with currently available procedures. Mathis, collaborator Ralph Weissleder, and colleagues (Harvard Medical School, www.SCIENCESIGNALING.org 14 April 2009 Vol 2 Issue 66 mr4 3 Downloaded from stke.sciencemag.org on October 22, 2010 (RCIA, Yokohama, Japan) that suggested that TCR microclusters may be transported to and from the immune synapse through insertion and internalization. I showed that signal termination through the formation of the central supramolecular activation cluster (cSMAC) required Tsg101, a component of the ESCRT (endosomal sorting complexes required for transport) complex, functioning at the plasma membrane. Jan Burkhardt (University of Pennsylvania, Philadelphia, USA) reported that the lymphocyte homolog of the actin-binding protein cortactin HS1 interacts with the kinases ZAP-70, ITK, and c-Abl to regulate the localized activation of Vav, a key GEF in Rac activation (12). In addition, HS1 is required for receptor-mediated endocytosis, providing another link between signaling events and endocytic trafficking. Anne Ridley (King’s College, London) discussed the role of microtubules in cell migration and presented data to suggest that microtubules are not essential for migration of leukocytes, but regulate their directionality. This emphasizes the inherent flexibility of biological systems to find alternative ways to carry out complex functions, but with increased potential for error. An example of flexibility that is deleterious to the animal is exhibited by animals with a mutation in LAT. Signaling becomes rerouted in T cells with the LAT Y136F (Tyr136→Phe) mutation such that T cells proliferate in the periphery after impaired development in the thymus, leading to a T helper 2 cell (TH2) lymphoproliferative disease as reported by Malissen (13). Many of these experiments are done in model systems in which the cell interacts with a planar substrate to improve temporal and spatial resolution compared to 3D imaging of randomly oriented cell-cell interfaces. Stephane Oddos (D. Davis laboratory, Imperial College London, UK) reported that structures positive for TCR, SLP-76, and LAT can be observed in cell-cell interfaces if the conjugate is optimally oriented by means of laser tweezers (14). This method has the potential to narrow the gap in speed and signal-to-noise between the planar bilayer systems and cell-cell systems, but it remains to be seen if this will be as useful in complex T cell–DC interfaces. Innate immunity was also illuminated through application of visualization techniques based on talks from Alexopoulou and Eicke Latz (University of Massachusetts Medical School, Worcester, USA). TLR9 is an endosomally localized MEETING REPORT 4. 5. 6. 7. 8. 9. 10. 11. 12. References 1. M. J. Miller, S. H. Wei, I. Parker, M. D. 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Signal. 2, mr4 (2009). www.SCIENCESIGNALING.org 14 April 2009 Vol 2 Issue 66 mr4 4 Downloaded from stke.sciencemag.org on October 22, 2010 Joslin Diabetes Center, Massachusetts General Hospital, Boston) have exploited magnetic and fluorescent nanoparticles that can be used for multimode, noninvasive imaging. With these probes, they could detect the earliest stages of leukocyte attack on the islets (insulitis) in a mouse model of diabetes, based on the increase in vascular leakage and macrophage engulfment of the probe that accompany islet inflammation; they could also predict months ahead of time which mice would eventually develop clinical diabetes and which would not, as well as get an early read on therapeutic reversal of disease. Mathis ended her talk by presenting the first indications that this methodology can potentially be applied to human type 1 diabetes patients, which opens important possibilities for noninvasively predicting the disease, aiding in difficult diagnoses, and monitoring the effectiveness of drug treatments. Type 1 diabetes can be attacked at all scales. A multifaceted approach that combines imaging from single molecules and supramolecular networks in cells, through cells in tissues to inflammation of organs (Fig. 1), should prove worthwhile in other immune disorders. A model for the future is core facilities with multiple advanced imaging technologies under one roof. Fig. 1. Visualizing immune cell activities in type 1 diabetes. Studies described at the meeting spanned three scales, and current studies of type 1 diabetes provide examples of all three. The immunological synapse modeled with a supported planar bilayer can be applied to study autoreactive T cells. Red, TCR; green, phosphotyrosine; blue, ICAM-1. (Image provided by S. Vardhana, Skirball Institute, New York University School of Medicine, New York, USA) The next level is intravital microscopy of the pancreatic islets with β cells in green and vasculature in red. Monitoring the course of islet inflammation in individual animals requires noninvasive imaging methods, which have been piloted in mice (23). These preclinical studies have now led to the first efforts at human translation. A 3D magnetic resonance image (MRI) with a pseudocolored T2* parametric map overlaid on the pancreas is shown, indicating clearance of Ferumoxtran-10 magnetic 48 hours. [Intravital image provided by J. Hill, R. Kohler, and J. Figueirado (Harvard Medical School, Boston); 3D MRI image provided by A. Guimaraes, J. Gaglia, and M. Harisinghani (Harvard Medical School, Boston)]