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1.
J Immunol ; 192(2): 553-7, 2014 Jan 15.
Article in English | MEDLINE | ID: mdl-24337740

ABSTRACT

DNAX accessory molecule 1 (DNAM-1) is expressed on all CD8(+) T cells and promotes their activation and effector function. DNAM-1 interacts with LFA-1, a critical molecule for immunological synapse formation between T cells and APCs, and for cytotoxic killing of target cells. Mice that lack DNAM-1 display abnormal T cell responses and antitumor activity; however, the mechanism involved is unclear. In this article, we show that DNAM-1 deficiency results in reduced proliferation of CD8(+) T cells after Ag presentation and impaired cytotoxic activity. We also demonstrate that DNAM-1-deficient T cells show reduced conjugations with tumor cells and decreased recruitment of both LFA-1 and lipid rafts to the immunological synapse, which correlates with reduced tumor cell killing in vitro. This synapse defect may explain why DNAM-1-deficient mice cannot clear tumors in vivo, and highlights the importance of DNAM-1 and the immunological synapse in T cell-mediated antitumor immunity.


Subject(s)
Antigens, Differentiation, T-Lymphocyte/genetics , Antigens, Differentiation, T-Lymphocyte/metabolism , CD8-Positive T-Lymphocytes/immunology , Immunological Synapses/immunology , Animals , Antigen-Presenting Cells/immunology , Antigen-Presenting Cells/metabolism , Antigens, Differentiation, T-Lymphocyte/immunology , CD8-Positive T-Lymphocytes/metabolism , Cell Line, Tumor , Cell Proliferation , Immunological Synapses/genetics , Immunological Synapses/metabolism , Lipids/genetics , Lipids/immunology , Lymphocyte Function-Associated Antigen-1/genetics , Lymphocyte Function-Associated Antigen-1/immunology , Lymphocyte Function-Associated Antigen-1/metabolism , Mice , Mice, Inbred C57BL
2.
Bioinformatics ; 29(6): 817-8, 2013 Mar 15.
Article in English | MEDLINE | ID: mdl-23341500

ABSTRACT

We describe a modular MATLAB® Toolbox named TACTICS for time-lapse image analysis that meets several requirements not generally offered by currently available software packages: (i) the ability to assess quality of extracted imaging information by directly linking data end points to the original position, (ii) massively parallel analysis of each parameter, for flow cytometry-like assessment of possible relationships between parameters within sub-populations of the images, (iii) options for user control of the tracking such as an interface to restrict the analysis region, (iv) manual correction of automated processes and (v) user interfaces for post-tracking analysis that is linked to the original images, including options to view cell pedigrees and normalized polarization ratios based on fluorescence ratiometric measurements.


Subject(s)
Image Processing, Computer-Assisted/methods , Software , Time-Lapse Imaging/methods
3.
Immunol Cell Biol ; 91(1): 70-81, 2013 Jan.
Article in English | MEDLINE | ID: mdl-23032369

ABSTRACT

We describe a new approach for interactive analysis of time-lapse microscopy, and apply this approach to elucidating whether polarity regulation is conserved between epithelial cells and lymphocytes. A key advantage of our analysis platform, 'TACTICS', is the capacity to visualize individual data points in the context of large data sets, similar to standard approaches in flow cytometry. Scatter plots representing microscopic parameters or their derivations such as polarity ratios are linked to the original data such that clicking on each dot enables a link to images and movies of the corresponding cell. Similar to flow cytometric analysis, subsets of the data can be gated and reanalyzed to explore the relationships between different parameters. TACTICS was used to dissect the regulation of polarization of the cell fate determinant, Numb, in migrating lymphocytes. We show here that residues of Numb that are phosphorylated by atypical protein kinase C (aPKC) to mediate apicobasal polarity in epithelial cells are not required for polarization of Numb in T cells, indicating that the role of aPKC is not conserved between lymphocytes and epithelia.


Subject(s)
Image Processing, Computer-Assisted/methods , Lymphocytes/cytology , Lymphocytes/immunology , Signal Transduction/immunology , Animals , Cell Polarity/immunology , Epithelial Cells/cytology , Epithelial Cells/immunology , Image Processing, Computer-Assisted/instrumentation , Membrane Proteins/immunology , Mice , Microscopy, Fluorescence/instrumentation , Microscopy, Fluorescence/methods , Nerve Tissue Proteins/immunology , Organ Specificity/immunology , Phosphorylation/immunology , Protein Kinase C/immunology
4.
Phys Rev E ; 96(4-1): 042401, 2017 Oct.
Article in English | MEDLINE | ID: mdl-29347525

ABSTRACT

Anisotropic collective patterns occur frequently in the morphogenesis of two-dimensional biofilms. These patterns are often attributed to growth regulation mechanisms and differentiation based on gradients of diffusing nutrients and signaling molecules. Here, we employ a model of bacterial growth dynamics to show that even in the absence of growth regulation or differentiation, confinement by an enclosing medium such as agar can itself lead to stable pattern formation over time scales that are employed in experiments. The underlying mechanism relies on path formation through physical deformation of the enclosing environment.


Subject(s)
Biofilms/growth & development , Models, Biological , Agar , Algorithms , Anisotropy , Bacterial Physiological Phenomena , Computer Simulation , Elasticity , Movement , Pseudomonas aeruginosa/growth & development , Time Factors
5.
Nat Commun ; 7: 11220, 2016 Apr 14.
Article in English | MEDLINE | ID: mdl-27075392

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.


Subject(s)
Bacteriolysis , Biofilms , Cell Membrane/metabolism , Organelle Biogenesis , Pseudomonas aeruginosa/physiology , Bacteriolysis/drug effects , Biofilms/drug effects , Cell Membrane/drug effects , DNA, Bacterial/metabolism , Endopeptidases/pharmacology , Extracellular Space/metabolism , Pseudomonas aeruginosa/drug effects , Pyocins/pharmacology , Quinolones/pharmacology , Stress, Physiological/drug effects
6.
J Cell Biol ; 210(6): 933-50, 2015 Sep 14.
Article in English | MEDLINE | ID: mdl-26370500

ABSTRACT

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 ß-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 ß-selection checkpoint. These findings indicate that ACD enables the thymic microenvironment to orchestrate fate decisions related to differentiation and self-renewal.


Subject(s)
Asymmetric Cell Division , Cell Proliferation , Thymocytes/metabolism , Thymus Gland/metabolism , Adaptor Protein Complex alpha Subunits/metabolism , Animals , Cell Communication , Cell Death , Cell Differentiation , Cell Polarity , Cells, Cultured , Cellular Microenvironment , Coculture Techniques , Intracellular Signaling Peptides and Proteins/deficiency , Intracellular Signaling Peptides and Proteins/genetics , Membrane Proteins/metabolism , Mice, Inbred C57BL , Mice, Knockout , Models, Immunological , Nerve Tissue Proteins/metabolism , Phosphorylation , Protein Kinase C/metabolism , Receptors, CXCR4/metabolism , Signal Transduction , Stromal Cells/immunology , Stromal Cells/metabolism , Thymocytes/immunology , Thymus Gland/cytology , Thymus Gland/immunology , Time Factors , Transfection
7.
PLoS One ; 9(6): e99885, 2014.
Article in English | MEDLINE | ID: mdl-24963926

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.


Subject(s)
Algorithms , Cell Polarity , Green Fluorescent Proteins/metabolism , Image Processing, Computer-Assisted , T-Lymphocytes/cytology , Time-Lapse Imaging/methods , Cells, Cultured , Computer Simulation , Fluorescence , Humans , Microscopy, Fluorescence , T-Lymphocytes/metabolism
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