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1.
Elife ; 122023 Oct 23.
Article in English | MEDLINE | ID: mdl-37870221

ABSTRACT

T cells are required to clear infection, and T cell motion plays a role in how quickly a T cell finds its target, from initial naive T cell activation by a dendritic cell to interaction with target cells in infected tissue. To better understand how different tissue environments affect T cell motility, we compared multiple features of T cell motion including speed, persistence, turning angle, directionality, and confinement of T cells moving in multiple murine tissues using microscopy. We quantitatively analyzed naive T cell motility within the lymph node and compared motility parameters with activated CD8 T cells moving within the villi of small intestine and lung under different activation conditions. Our motility analysis found that while the speeds and the overall displacement of T cells vary within all tissues analyzed, T cells in all tissues tended to persist at the same speed. Interestingly, we found that T cells in the lung show a marked population of T cells turning at close to 180o, while T cells in lymph nodes and villi do not exhibit this "reversing" movement. T cells in the lung also showed significantly decreased meandering ratios and increased confinement compared to T cells in lymph nodes and villi. These differences in motility patterns led to a decrease in the total volume scanned by T cells in lung compared to T cells in lymph node and villi. These results suggest that the tissue environment in which T cells move can impact the type of motility and ultimately, the efficiency of T cell search for target cells within specialized tissues such as the lung.


Subject(s)
Lymph Nodes , T-Lymphocytes , Animals , Mice , Lymph Nodes/pathology , Cell Movement , Dendritic Cells
2.
Respir Res ; 24(1): 138, 2023 May 25.
Article in English | MEDLINE | ID: mdl-37231407

ABSTRACT

Electronic cigarette (Ecig) use has become more common, gaining increasing acceptance as a safer alternative to tobacco smoking. However, the 2019 outbreak of Ecig and Vaping-Associated Lung Injury (EVALI) alerted the community to the potential for incorporation of deleterious ingredients such as vitamin E acetate into products without adequate safety testing. Understanding Ecig induced molecular changes in the lung and systemically can provide a path to safety assessment and protect consumers from unsafe formulations. While vitamin E acetate has been largely removed from commercial and illicit products, many Ecig products contain additives that remain largely uncharacterized. In this study, we determined the lung-specific effects as well as systemic immune effects in response to exposure to a common Ecig base, propylene glycol and vegetable glycerin (PGVG), with and without a 1% addition of phytol, a diterpene alcohol that has been found in commercial products. We exposed animals to PGVG with and without phytol and assessed metabolite, lipid, and transcriptional markers in the lung. We found both lung-specific as well as systemic effects in immune parameters, metabolites, and lipids. Phytol drove modest changes in lung function and increased splenic CD4 T cell populations. We also conducted multi-omic data integration to better understand early complex pulmonary responses, highlighting a central enhancement of acetylcholine responses and downregulation of palmitic acid connected with conventional flow cytometric assessments of lung, systemic inflammation, and pulmonary function. Our results demonstrate that Ecig exposure not only leads to changes in pulmonary function but also affects systemic immune and metabolic parameters.


Subject(s)
Electronic Nicotine Delivery Systems , Animals , Multiomics , Lung , Glycerol , Vitamin E , Propylene Glycol , Acetates
3.
Ann N Y Acad Sci ; 1521(1): 32-45, 2023 03.
Article in English | MEDLINE | ID: mdl-36718537

ABSTRACT

Viruses infect millions of people each year. Both endemic viruses circulating throughout the population as well as novel epidemic and pandemic viruses pose ongoing threats to global public health. Developing more effective tools to address viruses requires not only in-depth knowledge of the virus itself but also of our immune system's response to infection. On June 29 to July 2, 2022, researchers met for the Keystone symposium "Viral Immunity: Basic Mechanisms and Therapeutic Applications." This report presents concise summaries from several of the symposium presenters.


Subject(s)
Influenza, Human , Pandemics , Humans , Influenza, Human/epidemiology
4.
PLoS Comput Biol ; 17(12): e1009735, 2021 12.
Article in English | MEDLINE | ID: mdl-34941862

ABSTRACT

A key question in SARS-CoV-2 infection is why viral loads and patient outcomes vary dramatically across individuals. Because spatial-temporal dynamics of viral spread and immune response are challenging to study in vivo, we developed Spatial Immune Model of Coronavirus (SIMCoV), a scalable computational model that simulates hundreds of millions of lung cells, including respiratory epithelial cells and T cells. SIMCoV replicates viral growth dynamics observed in patients and shows how spatially dispersed infections can lead to increased viral loads. The model also shows how the timing and strength of the T cell response can affect viral persistence, oscillations, and control. By incorporating spatial interactions, SIMCoV provides a parsimonious explanation for the dramatically different viral load trajectories among patients by varying only the number of initial sites of infection and the magnitude and timing of the T cell immune response. When the branching airway structure of the lung is explicitly represented, we find that virus spreads faster than in a 2D layer of epithelial cells, but much more slowly than in an undifferentiated 3D grid or in a well-mixed differential equation model. These results illustrate how realistic, spatially explicit computational models can improve understanding of within-host dynamics of SARS-CoV-2 infection.


Subject(s)
COVID-19/virology , Computer Simulation , Lung/virology , SARS-CoV-2/isolation & purification , Viral Load , CD8-Positive T-Lymphocytes/immunology , COVID-19/immunology , Humans
5.
Front Immunol ; 10: 1357, 2019.
Article in English | MEDLINE | ID: mdl-31263465

ABSTRACT

There are striking similarities between the strategies ant colonies use to forage for food and immune systems use to search for pathogens. Searchers (ants and cells) use the appropriate combination of random and directed motion, direct and indirect agent-agent interactions, and traversal of physical structures to solve search problems in a variety of environments. An effective immune response requires immune cells to search efficiently and effectively for diverse types of pathogens in different tissues and organs, just as different species of ants have evolved diverse search strategies to forage effectively for a variety of resources in a variety of habitats. Successful T cell search is required to initiate the adaptive immune response in lymph nodes and to eradicate pathogens at sites of infection in peripheral tissue. Ant search strategies suggest novel predictions about T cell search. In both systems, the distribution of targets in time and space determines the most effective search strategy. We hypothesize that the ability of searchers to sense and adapt to dynamic targets and environmental conditions enhances search effectiveness through adjustments to movement and communication patterns. We also suggest that random motion is a more important component of search strategies than is generally recognized. The behavior we observe in ants reveals general design principles and constraints that govern distributed adaptive search in a wide variety of complex systems, particularly the immune system.


Subject(s)
Behavior, Animal/physiology , Models, Immunological , T-Lymphocytes/immunology , Adaptive Immunity , Algorithms , Animals , Ants , Host-Pathogen Interactions , Humans
6.
NPJ Vaccines ; 4: 26, 2019.
Article in English | MEDLINE | ID: mdl-31231552

ABSTRACT

Tauopathies, including frontotemporal dementia (FTD) and Alzheimer's disease (AD) are progressive neurodegenerative diseases clinically characterized by cognitive decline and could be caused by the aggregation of hyperphosphorylated pathological tau (pTau) as neurofibrillary tangles (NFTs) inside neurons. There is currently no FDA-approved treatment that cures, slows or prevents tauopathies. Current immunotherapy strategies targeting pTau have generated encouraging data but may pose concerns about scalability, affordability, and efficacy. Here, we engineered a virus-like particle (VLP)-based vaccine in which tau peptide, phosphorylated at threonine 181, was linked at high valency to Qß bacteriophage VLPs (pT181-Qß). We demonstrate that vaccination with pT181-Qß is sufficient to induce a robust and long-lived anti-pT181 antibody response in the sera and the brains of both Non-Tg and rTg4510 mice. Only sera from pT181-Qß vaccinated mice are reactive to classical somatodendritic pTau in human FTD and AD post-mortem brain sections. Finally, we demonstrate that pT181-Qß vaccination reduces both soluble and insoluble species of hyperphosphorylated pTau in the hippocampus and cortex, avoids a Th1-mediated pro-inflammatory cell response, prevents hippocampal and corpus callosum atrophy and rescues cognitive dysfunction in a 4-month-old rTg4510 mouse model of FTD. These studies provide a valid scientific premise for the development of VLP-based immunotherapy to target pTau and potentially prevent Alzheimer's diseases and related tauopathies.

7.
Sci Rep ; 9(1): 8628, 2019 06 13.
Article in English | MEDLINE | ID: mdl-31197200

ABSTRACT

CD43 (leukosialin) is a large sialoglycoprotein abundantly expressed on the surface of most cells from the hematopoietic lineage. CD43 is directly involved in the contact between cells participating in a series of events such as signaling, adherence and host parasite interactions. In this study we examined the role of CD43 in the immune response against Trypanosoma cruzi, the protozoan parasite that causes Chagas' disease, a potential life-threatening illness endemic in 21 Latin American countries according to the WHO. The acute stage of infection is marked by intense parasitemia and cardiac tissue parasitism, resulting in the recruitment of inflammatory cells and acute damage to the heart tissue. We show here that CD43-/- mice were more resistant to infection due to increased cytotoxicity of antigen specific CD8+ T cells and reduced inflammatory infiltration in the cardiac tissue, both contributing to lower cardiomyocyte damage. In addition, we demonstrate that the induction of acute myocarditis involves the engagement of CD43 cytoplasmic tripeptide sequence KRR to ezrin-radixin-moiesin cytoskeletal proteins. Together, our results show the participation of CD43 in different events involved in the pathogenesis of T. cruzi infection, contributing to a better overall understanding of the mechanisms underlying the pathogenesis of acute chagasic cardiomyopathy.


Subject(s)
Chagas Disease/metabolism , Inflammation/pathology , Leukosialin/metabolism , Myocardium/pathology , Animals , Antigens, Protozoan/immunology , CD8-Positive T-Lymphocytes/immunology , Cell Differentiation , Chagas Disease/immunology , Chagas Disease/pathology , Cytotoxicity, Immunologic , Disease Susceptibility , Male , Mice, Inbred C57BL , Mutation/genetics , Myocarditis/immunology , Myocarditis/parasitology , Myocarditis/pathology , Parasitemia/immunology , Phagocytes/pathology , Spleen/immunology , Survival Analysis
8.
Cancer Sci ; 110(6): 1931-1946, 2019 Jun.
Article in English | MEDLINE | ID: mdl-30974024

ABSTRACT

Activating mutations in cytokine receptors and transcriptional regulators govern aberrant signal transduction in T-cell lineage acute lymphoblastic leukemia (T-ALL). However, the roles played by suppressors of cytokine signaling remain incompletely understood. We examined the regulatory roles of suppressor of cytokine signaling 5 (SOCS5) in T-ALL cellular signaling networks and leukemia progression. We found that SOCS5 was differentially expressed in primary T-ALL and its expression levels were lowered in HOXA-deregulated leukemia harboring KMT2A gene rearrangements. Here, we report that SOCS5 expression is epigenetically regulated by DNA methyltransferase-3A-mediated DNA methylation and methyl CpG binding protein-2-mediated histone deacetylation. We show that SOCS5 negatively regulates T-ALL cell growth and cell cycle progression but has no effect on apoptotic cell death. Mechanistically, SOCS5 silencing induces activation of JAK-STAT signaling, and negatively regulates interleukin-7 and interleukin-4 receptors. Using a human T-ALL murine xenograft model, we show that genetic inactivation of SOCS5 accelerates leukemia engraftment and progression, and leukemia burden. We postulate that SOCS5 is epigenetically deregulated in T-ALL and serves as an important regulator of T-ALL cell proliferation and leukemic progression. Our results link aberrant downregulation of SOCS5 expression to the enhanced activation of the JAK-STAT and cytokine receptor-signaling cascade in T-ALL.


Subject(s)
Epigenesis, Genetic , Janus Kinases/genetics , Precursor T-Cell Lymphoblastic Leukemia-Lymphoma/genetics , STAT Transcription Factors/genetics , Suppressor of Cytokine Signaling Proteins/genetics , Animals , Cell Line , Cell Line, Tumor , DNA (Cytosine-5-)-Methyltransferases/genetics , DNA (Cytosine-5-)-Methyltransferases/metabolism , DNA Methyltransferase 3A , Disease Progression , Gene Expression Profiling , Humans , Janus Kinases/metabolism , Jurkat Cells , Mice, Inbred NOD , Mice, Knockout , Mice, SCID , Precursor T-Cell Lymphoblastic Leukemia-Lymphoma/metabolism , Precursor T-Cell Lymphoblastic Leukemia-Lymphoma/pathology , RNAi Therapeutics/methods , Receptors, Cytokine/genetics , Receptors, Cytokine/metabolism , STAT Transcription Factors/metabolism , Signal Transduction/genetics , Suppressor of Cytokine Signaling Proteins/metabolism , Survival Analysis , Xenograft Model Antitumor Assays/methods
9.
Cell Rep ; 26(11): 2859-2867.e4, 2019 03 12.
Article in English | MEDLINE | ID: mdl-30865878

ABSTRACT

The migratory capacity of adaptive CD8αß T cells dictates their ability to locate target cells and exert cytotoxicity, which is the basis of immune surveillance for the containment of microbes and disease. The small intestine (SI) is the largest mucosal surface and is a primary site of pathogen entrance. Using two-photon laser scanning microscopy, we found that motility of antigen (Ag)-specific CD8αß T cells in the SI is dynamic and varies with the environmental milieu. Pathogen-specific CD8αß T cell movement differed throughout infection, becoming locally confined at memory. Motility was not dependent on CD103 but was influenced by micro-anatomical locations within the SI and by inflammation. CD8 T cells responding to self-protein were initially affected by the presence of self-Ag, but this was altered after complete tolerance induction. These studies identify multiple factors that affect CD8αß T cell movement in the intestinal mucosa and show the adaptability of CD8αß T cell motility.


Subject(s)
CD8-Positive T-Lymphocytes/physiology , Cell Movement , Intestine, Small/cytology , Animals , CD8-Positive T-Lymphocytes/immunology , Inflammation , Intestine, Small/immunology , Intestine, Small/pathology , Mice , Mice, Inbred C57BL
10.
J Neuroinflammation ; 15(1): 278, 2018 Sep 25.
Article in English | MEDLINE | ID: mdl-30253780

ABSTRACT

BACKGROUND: Fractalkine (CX3CL1) and its receptor (CX3CR1) play an important role in regulating microglial function. We have previously shown that Cx3cr1 deficiency exacerbated tau pathology and led to cognitive impairment. However, it is still unclear if the chemokine domain of the ligand CX3CL1 is essential in regulating neuronal tau pathology. METHODS: We used transgenic mice lacking endogenous Cx3cl1 (Cx3cl1-/-) and expressing only obligatory soluble form (with only chemokine domain) and lacking the mucin stalk of CX3CL1 (referred to as Cx3cl1105Δ mice) to assess tau pathology and behavioral function in both lipopolysaccharide (LPS) and genetic (hTau) mouse models of tauopathy. RESULTS: First, increased basal tau levels accompanied microglial activation in Cx3cl1105Δ mice compared to control groups. Second, increased CD45+ and F4/80+ neuroinflammation and tau phosphorylation were observed in LPS, hTau/Cx3cl1-/-, and hTau/Cx3cl1105Δ mouse models of tau pathology, which correlated with impaired spatial learning. Finally, microglial cell surface expression of CX3CR1 was reduced in Cx3cl1105Δ mice, suggesting enhanced fractalkine receptor internalization (mimicking Cx3cr1 deletion), which likely contributes to the elevated tau pathology. CONCLUSIONS: Collectively, our data suggest that overexpression of only chemokine domain of CX3CL1 does not protect against tau pathology.


Subject(s)
Chemokine CX3CL1/genetics , Gene Expression Regulation/genetics , Microglia/metabolism , Tauopathies/pathology , Animals , Antigens, Differentiation/genetics , Antigens, Differentiation/metabolism , Calcium-Binding Proteins/metabolism , Chemokine CX3CL1/metabolism , Cognition Disorders/etiology , Cytokines/metabolism , Disease Models, Animal , Gene Expression Regulation/drug effects , Lipopolysaccharides/toxicity , Maze Learning , Mice , Mice, Transgenic , Microfilament Proteins/metabolism , Microglia/drug effects , Microglia/pathology , Mutation/genetics , Tauopathies/complications , Tauopathies/genetics , tau Proteins/genetics , tau Proteins/metabolism
11.
Front Immunol ; 9: 1571, 2018.
Article in English | MEDLINE | ID: mdl-30093900

ABSTRACT

T cells play a vital role in eliminating pathogenic infections. To activate, naïve T cells search lymph nodes (LNs) for dendritic cells (DCs). Positioning and movement of T cells in LNs is influenced by chemokines including CCL21 as well as multiple cell types and structures in the LNs. Previous studies have suggested that T cell positioning facilitates DC colocalization leading to T:DC interaction. Despite the influence chemical signals, cells, and structures can have on naïve T cell positioning, relatively few studies have used quantitative measures to directly compare T cell interactions with key cell types. Here, we use Pearson correlation coefficient (PCC) and normalized mutual information (NMI) to quantify the extent to which naïve T cells spatially associate with DCs, fibroblastic reticular cells (FRCs), and blood vessels in LNs. We measure spatial associations in physiologically relevant regions. We find that T cells are more spatially associated with FRCs than with their ultimate targets, DCs. We also investigated the role of a key motility chemokine receptor, CCR7, on T cell colocalization with DCs. We find that CCR7 deficiency does not decrease naïve T cell association with DCs, in fact, CCR7-/- T cells show slightly higher DC association compared with wild type T cells. By revealing these associations, we gain insights into factors that drive T cell localization, potentially affecting the timing of productive T:DC interactions and T cell activation.


Subject(s)
Dendritic Cells/immunology , Fibroblasts/immunology , Lymph Nodes/immunology , T-Lymphocytes/immunology , Animals , Cell Communication/immunology , Chemokine CCL21/immunology , Cytokines/immunology , Data Interpretation, Statistical , Dendritic Cells/cytology , Fibroblasts/cytology , Humans , Lymph Nodes/cytology , Lymphocyte Activation , Mice , Models, Animal , Receptors, CCR7/immunology , T-Lymphocytes/cytology
12.
Oncotarget ; 8(49): 84626-84627, 2017 Oct 17.
Article in English | MEDLINE | ID: mdl-29156664
13.
Nat Commun ; 8(1): 1010, 2017 10 18.
Article in English | MEDLINE | ID: mdl-29044117

ABSTRACT

Effector T cell migration through tissues can enable control of infection or mediate inflammatory damage. Nevertheless, the molecular mechanisms that regulate migration of effector T cells within the interstitial space of inflamed lungs are incompletely understood. Here, we show T cell migration in a mouse model of acute lung injury with two-photon imaging of intact lung tissue. Computational analysis indicates that T cells migrate with an intermittent mode, switching between confined and almost straight migration, guided by lung-associated vasculature. Rho-associated protein kinase (ROCK) is required for both high-speed migration and straight motion. By contrast, inhibition of Gαi signaling with pertussis toxin affects speed but not the intermittent migration of lung-infiltrating T cells. Computational modeling shows that an intermittent migration pattern balances both search area and the duration of contacts between T cells and target cells. These data identify that ROCK-dependent intermittent T cell migration regulates tissue-sampling during acute lung injury.


Subject(s)
Acute Lung Injury/metabolism , Cell Movement , T-Lymphocytes/metabolism , rho-Associated Kinases/metabolism , Acute Lung Injury/pathology , Algorithms , Animals , Cell Tracking/methods , Female , Lung/diagnostic imaging , Lung/metabolism , Lung/pathology , Mice, Inbred C57BL , Mice, Transgenic , Microscopy, Fluorescence, Multiphoton
14.
Am J Physiol Lung Cell Mol Physiol ; 312(5): L609-L624, 2017 05 01.
Article in English | MEDLINE | ID: mdl-28213473

ABSTRACT

Inflammation is a prominent pathological feature in pulmonary arterial hypertension, as demonstrated by pulmonary vascular infiltration of inflammatory cells, including T and B lymphocytes. However, the contribution of the adaptive immune system is not well characterized in pulmonary hypertension caused by chronic hypoxia. CD4+ T cells are required for initiating and maintaining inflammation, suggesting that these cells could play an important role in the pathogenesis of hypoxic pulmonary hypertension. Our objective was to test the hypothesis that CD4+ T cells, specifically the T helper 17 subset, contribute to chronic hypoxia-induced pulmonary hypertension. We compared indices of pulmonary hypertension resulting from chronic hypoxia (3 wk) in wild-type mice and recombination-activating gene 1 knockout mice (RAG1-/-, lacking mature T and B cells). Separate sets of mice were adoptively transferred with CD4+, CD8+, or T helper 17 cells before normoxic or chronic hypoxic exposure to evaluate the involvement of specific T cell subsets. RAG1-/- mice had diminished right ventricular systolic pressure and arterial remodeling compared with wild-type mice exposed to chronic hypoxia. Adoptive transfer of CD4+ but not CD8+ T cells restored the hypertensive phenotype in RAG1-/- mice. Interestingly, RAG1-/- mice receiving T helper 17 cells displayed evidence of pulmonary hypertension independent of chronic hypoxia. Supporting our hypothesis, depletion of CD4+ cells or treatment with SR1001, an inhibitor of T helper 17 cell development, prevented increased pressure and remodeling responses to chronic hypoxia. We conclude that T helper 17 cells play a key role in the development of chronic hypoxia-induced pulmonary hypertension.


Subject(s)
Hypertension, Pulmonary/etiology , Hypertension, Pulmonary/immunology , Hypoxia/complications , Hypoxia/immunology , Th17 Cells/immunology , Adoptive Transfer , Animals , Blood Pressure/drug effects , CD8-Positive T-Lymphocytes/immunology , Cell Count , Cell Movement/drug effects , Chronic Disease , Female , Heart Ventricles/drug effects , Heart Ventricles/physiopathology , Homeodomain Proteins/metabolism , Hypertension, Pulmonary/physiopathology , Interleukin-17/pharmacology , Interleukin-6/metabolism , Lung/metabolism , Lymphocyte Depletion , Macrophages/drug effects , Macrophages/metabolism , Macrophages/pathology , Male , Mice, Inbred C57BL , Myocytes, Smooth Muscle/drug effects , Myocytes, Smooth Muscle/pathology , RNA, Messenger/genetics , RNA, Messenger/metabolism , Systole/drug effects , Systole/physiology , T-Lymphocytes, Regulatory/drug effects , T-Lymphocytes, Regulatory/immunology , Th17 Cells/drug effects
15.
PLoS One ; 11(10): e0163918, 2016.
Article in English | MEDLINE | ID: mdl-27711232

ABSTRACT

Microarrays are a powerful tool for studying differential gene expression. However, lists of many differentially expressed genes are often generated, and unraveling meaningful biological processes from the lists can be challenging. For this reason, investigators have sought to quantify the statistical probability of compiled gene sets rather than individual genes. The gene sets typically are organized around a biological theme or pathway. We compute correlations between different gene set tests and elect to use Fisher's self-contained method for gene set analysis. We improve Fisher's differential expression analysis of a gene set by limiting the p-value of an individual gene within the gene set to prevent a small percentage of genes from determining the statistical significance of the entire set. In addition, we also compute dependencies among genes within the set to determine which genes are statistically linked. The method is applied to T-ALL (T-lineage Acute Lymphoblastic Leukemia) to identify differentially expressed gene sets between T-ALL and normal patients and T-ALL and AML (Acute Myeloid Leukemia) patients.


Subject(s)
Gene Expression Profiling , Oligonucleotide Array Sequence Analysis , Statistics as Topic/methods , Child , Humans , Precursor T-Cell Lymphoblastic Leukemia-Lymphoma/genetics
16.
PLoS Comput Biol ; 12(3): e1004818, 2016 Mar.
Article in English | MEDLINE | ID: mdl-26990103

ABSTRACT

Effective search strategies have evolved in many biological systems, including the immune system. T cells are key effectors of the immune response, required for clearance of pathogenic infection. T cell activation requires that T cells encounter antigen-bearing dendritic cells within lymph nodes, thus, T cell search patterns within lymph nodes may be a crucial determinant of how quickly a T cell immune response can be initiated. Previous work suggests that T cell motion in the lymph node is similar to a Brownian random walk, however, no detailed analysis has definitively shown whether T cell movement is consistent with Brownian motion. Here, we provide a precise description of T cell motility in lymph nodes and a computational model that demonstrates how motility impacts T cell search efficiency. We find that both Brownian and Lévy walks fail to capture the complexity of T cell motion. Instead, T cell movement is better described as a correlated random walk with a heavy-tailed distribution of step lengths. Using computer simulations, we identify three distinct factors that contribute to increasing T cell search efficiency: 1) a lognormal distribution of step lengths, 2) motion that is directionally persistent over short time scales, and 3) heterogeneity in movement patterns. Furthermore, we show that T cells move differently in specific frequently visited locations that we call "hotspots" within lymph nodes, suggesting that T cells change their movement in response to the lymph node environment. Our results show that like foraging animals, T cells adapt to environmental cues, suggesting that adaption is a fundamental feature of biological search.


Subject(s)
Adaptive Immunity/immunology , Cell Movement/immunology , Lymph Nodes/immunology , Models, Immunological , Models, Statistical , T-Lymphocytes/immunology , Adaptation, Psychological/physiology , Animals , Computer Simulation , Humans , Immunity, Innate/immunology , Lymph Nodes/pathology
17.
J Cell Biol ; 210(5): 851-64, 2015 Aug 31.
Article in English | MEDLINE | ID: mdl-26304724

ABSTRACT

Mast cells (MCs) produce soluble mediators such as histamine and prostaglandins that are known to influence dendritic cell (DC) function by stimulating maturation and antigen processing. Whether direct cell-cell interactions are important in modulating MC/DC function is unclear. In this paper, we show that direct contact between MCs and DCs occurs and plays an important role in modulating the immune response. Activation of MCs through FcεRI cross-linking triggers the formation of stable cell-cell interactions with immature DCs that are reminiscent of the immunological synapse. Direct cellular contact differentially regulates the secreted cytokine profile, indicating that MC modulation of DC populations is influenced by the nature of their interaction. Synapse formation requires integrin engagement and facilitates the transfer of internalized MC-specific antigen from MCs to DCs. The transferred material is ultimately processed and presented by DCs and can activate T cells. The physiological outcomes of the MC-DC synapse suggest a new role for intercellular crosstalk in defining the immune response.


Subject(s)
Antigen Presentation/immunology , Dendritic Cells/immunology , Immunological Synapses/immunology , Lymphocyte Activation/immunology , Mast Cells/immunology , T-Lymphocytes/immunology , Animals , Antigens/immunology , Antigens/metabolism , Cell Communication/immunology , Cell Line , Cytokines/biosynthesis , Female , Mice , Mice, Inbred C57BL , Mice, Transgenic , Ovalbumin/immunology , Receptors, IgE/immunology
18.
PLoS One ; 10(5): e0126333, 2015.
Article in English | MEDLINE | ID: mdl-25973755

ABSTRACT

Two-photon (2P) microscopy provides immunologists with 3D video of the movement of lymphocytes in vivo. Motility parameters extracted from these videos allow detailed analysis of lymphocyte motility in lymph nodes and peripheral tissues. However, standard parametric statistical analyses such as the Student's t-test are often used incorrectly, and fail to take into account confounds introduced by the experimental methods, potentially leading to erroneous conclusions about T cell motility. Here, we compare the motility of WT T cell versus PKCθ-/-, CARMA1-/-, CCR7-/-, and PTX-treated T cells. We show that the fluorescent dyes used to label T cells have significant effects on T cell motility, and we demonstrate the use of factorial ANOVA as a statistical tool that can control for these effects. In addition, researchers often choose between the use of "cell-based" parameters by averaging multiple steps of a single cell over time (e.g. cell mean speed), or "step-based" parameters, in which all steps of a cell population (e.g. instantaneous speed) are grouped without regard for the cell track. Using mixed model ANOVA, we show that we can maintain cell-based analyses without losing the statistical power of step-based data. We find that as we use additional levels of statistical control, we can more accurately estimate the speed of T cells as they move in lymph nodes as well as measure the impact of individual signaling molecules on T cell motility. As there is increasing interest in using computational modeling to understand T cell behavior in in vivo, these quantitative measures not only give us a better determination of actual T cell movement, they may prove crucial for models to generate accurate predictions about T cell behavior.


Subject(s)
Lymphocytes/cytology , Analysis of Variance , Animals , CARD Signaling Adaptor Proteins/analysis , CARD Signaling Adaptor Proteins/genetics , Cell Movement , Fluorescent Dyes/metabolism , Gene Deletion , Isoenzymes/analysis , Isoenzymes/genetics , Lymph Nodes/cytology , Lymphocytes/drug effects , Lymphocytes/metabolism , Mice, Inbred C57BL , Microscopy, Fluorescence, Multiphoton , Optical Imaging , Protein Kinase C/analysis , Protein Kinase C/genetics , Protein Kinase C-theta , Receptors, CCR7/analysis , Receptors, CCR7/genetics
19.
PLoS One ; 8(11): e78940, 2013.
Article in English | MEDLINE | ID: mdl-24250818

ABSTRACT

Cell motility is a fundamental process crucial for function in many cell types, including T cells. T cell motility is critical for T cell-mediated immune responses, including initiation, activation, and effector function. While many extracellular receptors and cytoskeletal regulators have been shown to control T cell migration, relatively few signaling mediators have been identified that can modulate T cell motility. In this study, we find a previously unknown role for PKCθ in regulating T cell migration to lymph nodes. PKCθ localizes to the migrating T cell uropod and regulates localization of the MTOC, CD43 and ERM proteins to the uropod. Furthermore, PKCθ-deficient T cells are less responsive to chemokine induced migration and are defective in migration to lymph nodes. Our results reveal a novel role for PKCθ in regulating T cell migration and demonstrate that PKCθ signals downstream of CCR7 to regulate protein localization and uropod formation.


Subject(s)
Cell Movement/genetics , Immunity, Cellular/genetics , Isoenzymes/genetics , Protein Kinase C/genetics , Receptors, CCR7/metabolism , T-Lymphocytes/metabolism , Cytoskeletal Proteins/metabolism , DNA-Binding Proteins/metabolism , Humans , Isoenzymes/metabolism , Leukosialin/metabolism , Lymph Nodes/metabolism , Lymph Nodes/pathology , Membrane Proteins/metabolism , Microfilament Proteins/metabolism , Microtubule-Organizing Center/metabolism , Protein Kinase C/metabolism , Protein Kinase C-theta , T-Lymphocytes/immunology , Transcription Factors/metabolism
20.
PLoS One ; 8(8): e72955, 2013.
Article in English | MEDLINE | ID: mdl-23967339

ABSTRACT

Acute rejection, a common complication of lung transplantation, may promote obliterative bronchiolitis leading to graft failure in lung transplant recipients. During acute rejection episodes, CD8(+) T cells can contribute to lung epithelial injury but the mechanisms promoting and controlling CD8-mediated injury in the lung are not well understood. To study the mechanisms regulating CD8(+) T cell-mediated lung rejection, we used a transgenic model in which adoptively transferred ovalbumin (OVA)-specific cytotoxic T lymphocytes (CTL) induce lung injury in mice expressing an ovalbumin transgene in the small airway epithelium of the lungs (CC10-OVA mice). The lung pathology is similar to findings in humans with acute lung transplant. In the presence of an intact immune response the inflammation resolves by day 30. Using CC10-OVA.RAG(-/-) mice, we found that CD4(+) T cells and ICOS(+/+) T cells were required for protection against lethal lung injury, while neutrophil depletion was not protective. In addition, CD4(+)Foxp3 (+) ICOS(+) T cells were enriched in the lungs of animals surviving lung injury and ICOS(+/+) Tregs promoted survival in animals that received ICOS(-/-) T cells. Direct comparison of ICOS(-/-) Tregs to ICOS(+/+) Tregs found defects in vitro but no differences in the ability of ICOS(-/-) Tregs to protect from lethal lung injury. These data suggest that ICOS affects Treg development but is not necessarily required for Treg effector function.


Subject(s)
Graft Rejection/genetics , Graft Rejection/immunology , Inducible T-Cell Co-Stimulator Protein/genetics , Lung Injury/genetics , Lung Injury/immunology , Lung Transplantation/adverse effects , Lymphocyte Subsets/immunology , Lymphocyte Subsets/metabolism , Animals , Antigens/immunology , CD4-Positive T-Lymphocytes/immunology , CD4-Positive T-Lymphocytes/metabolism , CD8-Positive T-Lymphocytes/cytology , CD8-Positive T-Lymphocytes/immunology , CD8-Positive T-Lymphocytes/metabolism , Cell Differentiation , Disease Models, Animal , Gene Expression , Gene Knockdown Techniques , Graft Rejection/mortality , Inducible T-Cell Co-Stimulator Protein/metabolism , Inflammation/immunology , Inflammation/metabolism , Inflammation/pathology , Interleukin-10/metabolism , Interleukin-2/metabolism , Lung Injury/pathology , Lymphocyte Subsets/cytology , Mice , Neutrophils , T-Lymphocytes, Regulatory/immunology , T-Lymphocytes, Regulatory/metabolism
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