804 resultados para shape rolling


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Selectins play a key role regulating leukocyte migration into tissues by mediating leukocyte tethering (capture) and rolling on inflamed endothelium and/or on adherent leukocytes or platelets. During leukocyte rolling, endothelial E- or P-selectin bind to glycoprotein ligands carrying sialyl Lewis χ (sLex) determinant. P-selectin glycoprotein ligand-1 (PSGL-1) is a common ligand for L-, P- and E-selectin, which sequentially cooperates with CD44 and E- selectin ligand-1 (ESL-1) to roll on E-selectin. During rolling on endothelial selectins, PSGL-1 and CD44 signal through Src family kinases and Syk, leading to αι_β2 integrin partial activation and slow rolling on intercellular adhesion molecule-1 (ICAM-1). Leukocyte exposure to chemokines then leads to firm adhesion. Little information is available on ligands that mediate malignant leukocyte rolling on E- selectin. We defined these ligands on U937 monoblasts by immunoadsorbtion and immunoblotting using mAb raised against CD43, CD44, PSGL-1, sLex/CLA determinants and E-selectin/IgM chimera. Immunoblotting and blot rolling assays demonstrated that PSGL-1, CD43, CD44 and a -125 kDa sLex/CLA positive ligand contribute to support E-seiectin- dependent rolling. This -125 kDa ligand is endoglycan, a member of the CD34 family of sialomucins. Endoglycan was frequently detected by flow cytometry on primary leukemia, lymphoma and multiple myeloma ceils (in -50% of cases). Endoglycan, immunopurified from U937 cells, as well as endoglycan/IgG chimera efficiently supported E-selectin dependent rolling. Membrane fractionation on sucrose gradient demonstrated that endoglycan is expressed in lipid rafts. We tested the hypothesis that it signals, like PSGL-1 and CD44, through Src kinases and the MAPK pathway. Indeed, endoglycan engagement induced Syk and ERK phosphorylation in a iipid raft-dependent manner. Syk activation was dependent on Src kinase activity. Downstream of Syk, endoglycan activated PI3K and Akt as well as Bruton's tyrosine kinase and p38 MAPK. Thus, endoglycan is a ligand for endothelial selectins which may contribute to regulate leukemia, lymphoma and multiple myeloma cell trafficking and interactions with bone marrow microenvironment. - Les sélectines contrôlent la migration tissulaire des leucocytes en assurant leur capture et leur roulement sur l'endothélium vasculaire enflammé et/ou sur des plaquettes ou des leucocytes adhérant à la paroi vasculaire. Lors du roulement leucocytaire, les sélectines endothéliales (E- et P-sélectine) se lient à des ligands porteurs du saccharide sialyl Lewis χ (sLex). PSGL-1 est un ligand commun des sélectines qui coopère avec CD44 et ESL-1 pour permettre la capture et le roulement des neutrophiles. Lorsque PSGL-1 et CD44 se lient aux sélectines endothéliales, elles induisent la phosphorylation des kinases Src et de Syk conduisant à l'activation partielle de l'intégrine aLp2 et au ralentissement des leucocytes sur les sélectines et ICAM-1. Les chimiokines induisent ensuite l'adhésion ferme des leucocytes. Les ligands des sélectines qui assurent le roulement, sur la E-sélectine, des cellules issues d'hémopathies malignes sont peu connus. Nous avons caractérisé ces ligands en les purifiant avec des anticorps dirigés contre CD43, CD44, PSGL-1, sLex/CLA et en utilisant la chimère E-sélectine/IgM. Des tests d'adhésion ont montré que PSGL-1, CD43, CD44 et une glycoprotéine de ~125 kDa soutiennent les interactions cellulaires dépendant de la E- sélectine. Le ligand de -125 kDa a été identifié comme étant l'endoglycan. Il a été détecté, par cytométrie de flux, sur les cellules leucémiques, les cellules de lymphomes ou de myélome multiple, dans ~50% des cas analysés. Sa forme membranaire, immunopurifiée, ou recombinante (endoglycan/lgG) soutient les interactions cellulaires dépendant de la E- sélectine. Nous avons montré qu'il réside dans les rafts lipidiques membranaires puis avons testé l'hypothèse que l'endoglycan, comme PSGL-1 et CD44, induit une signalisation via les kinases de type Src et la voie des MAPK. Nous avons pu observer que son engagement induit la phosphorylation de Syk et de ERK pour autant que la structure des rafts soit préservée. En aval de Syk, l'endoglycan active la PI3K, Akt, Btk et la MAPK p38. Ces résultats montrent que l'endoglycan est un ligand des sélectines endothéliales qui pourrait participer au contrôle du trafic et des interactions des cellules leucémiques, de lymphomes ou de myélomes multiples avec leur microenvironnement. - Le sang est un élément clé du fonctionnement de notre corps. La circulation sanguine permet la communication et le transfert de molécules et cellules entre divers organes. Lors d'une inflammation aiguë due à une réaction allergique, une infection ou une blessure, on observe un oedème local accompagné de rougeur, de chaleur et souvent de douleurs. Au sein des tissus enflammés, on observe des globules blancs (leucocytes) et diverses molécules inflammatoires qui attirent les leucocytes dans les tissus lésés (chimiokines). Le sang est composé de globules rouges, de plaquettes et de leucocytes spécialisés dans les défenses immunes. Pour atteindre le site d'inflammation, les leucocytes doivent quitter la circulation sanguine. Ils utilisent pour cela des molécules d'adhésion présentes à leur surface qui se lient à d'autres molécules d'adhésion de la paroi sanguine. Leurs interactions permettent aux leucocytes de rouler à la surface du vaisseau sanguin. Lorsqu'ils roulent au voisinage d'un site d'inflammation, les leucocytes sont exposés à des chimiokines qui induisent leur arrêt et les dirigent dans les tissus enflammés. Ce processus physiologique est aussi impliqué dans des pathologies telles que l'infarctus, l'artériosclérose ou la thrombose. Il peut être détourné à des fins moins louables par des cellules cancéreuses pour permettre leur dissémination (métastatisation). Dans ce travail de thèse, nous avons caractérisé une molécule d'adhésion qui soutient l'adhésion des leucocytes aux sélectines endothéliales: l'endoglycan. Nous avons observé que cette molécule d'adhésion est fréquemment exprimée par les cellules malignes de nombreuses maladies du sang comme les leucémies, les lymphomes et le myélome multiple. Nous avons également pu montrer que l'endoglycan envoie des signaux à l'intérieur des cellules malignes lorsqu'elles se lient aux sélectines endothéliales. Ces signaux pourraient jouer un rôle déterminant dans la régulation des interactions des cellules malignes avec leur microenvironnement. Elles pourraient peut-être aussi favoriser leur survie et leur prolifération.

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Shape complexity has recently received attention from different fields, such as computer vision and psychology. In this paper, integral geometry and information theory tools are applied to quantify the shape complexity from two different perspectives: from the inside of the object, we evaluate its degree of structure or correlation between its surfaces (inner complexity), and from the outside, we compute its degree of interaction with the circumscribing sphere (outer complexity). Our shape complexity measures are based on the following two facts: uniformly distributed global lines crossing an object define a continuous information channel and the continuous mutual information of this channel is independent of the object discretisation and invariant to translations, rotations, and changes of scale. The measures introduced in this paper can be potentially used as shape descriptors for object recognition, image retrieval, object localisation, tumour analysis, and protein docking, among others

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BACKGROUND: Obesity is a contemporary epidemic that does not affect all age groups and sections of society equally. OBJECTIVE: The objective was to examine socioeconomic differences in trajectories of body mass index (BMI; in kg/m(2)) and obesity between the ages of 45 and 65 y. DESIGN: A total of 13,297 men and 4532 women from the French GAZEL (Gaz de France Electricité de France) cohort study reported their height in 1990 and their weight annually over the subsequent 18 y. Changes in BMI and obesity between ages 45 and 49 y, 50 and 54 y, 55 and 59 y, and 60 and 65 y as a function of education and occupational position (at age 35 y) were modeled by using linear mixed models and generalized estimating equations. RESULTS: BMI and obesity rates increased between the ages of 45 and 65 y. In men, BMI was higher in unskilled workers than in managers at age 45 y; this difference in BMI increased from 0.82 (95% CI: 0.66, 0.99) at 45 y to 1.06 (95% CI: 0.85, 1.27) at 65 y. Men with a primary school education compared with those with a high school degree at age 45 y had a 0.75 (95% CI: 0.51, 1.00) higher BMI, and this difference increased to 1.32 (95% CI: 1.03,1.62) at age 65 y. Obesity rates were 3.35% and 7.68% at age 45 y and 9.52% and 18.10% at age 65 y in managers and unskilled workers, respectively; the difference in obesity increased by 4.25% (95% CI: 1.87, 6.52). A similar trend was observed in women. Conclusions: Weight continues to increase in the transition between midlife and old age; this increase is greater in lower socioeconomic groups.

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Hemodynamic imaging results have associated both gender and body weight to variation in brain responses to food-related information. However, the spatio-temporal brain dynamics of gender-related and weight-wise modulations in food discrimination still remain to be elucidated. We analyzed visual evoked potentials (VEPs) while normal-weighted men (n = 12) and women (n = 12) categorized photographs of energy-dense foods and non-food kitchen utensils. VEP analyses showed that food categorization is influenced by gender as early as 170 ms after image onset. Moreover, the female VEP pattern to food categorization co-varied with participants' body weight. Estimations of the neural generator activity over the time interval of VEP modulations (i.e. by means of a distributed linear inverse solution [LAURA]) revealed alterations in prefrontal and temporo-parietal source activity as a function of image category and participants' gender. However, only neural source activity for female responses during food viewing was negatively correlated with body-mass index (BMI) over the respective time interval. Women showed decreased neural source activity particularly in ventral prefrontal brain regions when viewing food, but not non-food objects, while no such associations were apparent in male responses to food and non-food viewing. Our study thus indicates that gender influences are already apparent during initial stages of food-related object categorization, with small variations in body weight modulating electrophysiological responses especially in women and in brain areas implicated in food reward valuation and intake control. These findings extend recent reports on prefrontal reward and control circuit responsiveness to food cues and the potential role of this reactivity pattern in the susceptibility to weight gain.

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We studied the influence of signal variability on human and model observers for detection tasks with realistic simulated masses superimposed on real patient mammographic backgrounds and synthesized mammographic backgrounds (clustered lumpy backgrounds, CLB). Results under the signal-known-exactly (SKE) paradigm were compared with signal-known-statistically (SKS) tasks for which the observers did not have prior knowledge of the shape or size of the signal. Human observers' performance did not vary significantly when benign masses were superimposed on real images or on CLB. Uncertainty and variability in signal shape did not degrade human performance significantly compared with the SKE task, while variability in signal size did. Implementation of appropriate internal noise components allowed the fit of model observers to human performance.

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In medical imaging, merging automated segmentations obtained from multiple atlases has become a standard practice for improving the accuracy. In this letter, we propose two new fusion methods: "Global Weighted Shape-Based Averaging" (GWSBA) and "Local Weighted Shape-Based Averaging" (LWSBA). These methods extend the well known Shape-Based Averaging (SBA) by additionally incorporating the similarity information between the reference (i.e., atlas) images and the target image to be segmented. We also propose a new spatially-varying similarity-weighted neighborhood prior model, and an edge-preserving smoothness term that can be used with many of the existing fusion methods. We first present our new Markov Random Field (MRF) based fusion framework that models the above mentioned information. The proposed methods are evaluated in the context of segmentation of lymph nodes in the head and neck 3D CT images, and they resulted in more accurate segmentations compared to the existing SBA.

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We present an experimental and numerical study on the influence that particle aspect ratio has on the mechanical and structural properties of granular packings. For grains with maximal symmetry (squares), the stress propagation in the packing localizes forming chainlike forces analogous to the ones observed for spherical grains. This scenario can be understood in terms of stochastic models of aggregation and random multiplicative processes. As the grains elongate, the stress propagation is strongly affected. The interparticle normal force distribution tends toward a Gaussian, and, correspondingly, the force chains spread leading to a more uniform stress distribution reminiscent of the hydrostatic profiles known for standard liquids

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The shape of alliance processes over the course of psychotherapy has already been studied in several process-outcome studies on very brief psychotherapy. The present study applies the shape-of-change methodology to short-term dynamic psychotherapies and complements this method with hierarchical linear modeling. A total of 50 psychotherapies of up to 40 sessions were included. Alliance was measured at the end of each session. The results indicate that a linear progression model is most adequate. Three main patterns were found: stable, linear, and quadratic growth. The linear growth pattern, along with the slope parameter, was related to treatment outcome. This study sheds additional light on alliance process research, underscores the importance of linear alliance progression for outcome, and also fosters a better understanding of its limitations.

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The distribution of transposable elements (TEs) in a genome reflects a balance between insertion rate and selection against new insertions. Understanding the distribution of TEs therefore provides insights into the forces shaping the organization of genomes. Past research has shown that TEs tend to accumulate in genomic regions with low gene density and low recombination rate. However, little is known about the factors modulating insertion rates across the genome and their evolutionary significance. One candidate factor is gene expression, which has been suggested to increase local insertion rate by rendering DNA more accessible. We test this hypothesis by comparing the TE density around germline- and soma-expressed genes in the euchromatin of Drosophila melanogaster. Because only insertions that occur in the germline are transmitted to the next generation, we predicted a higher density of TEs around germline-expressed genes than soma-expressed genes. We show that the rate of TE insertions is greater near germline- than soma-expressed genes. However, this effect is partly offset by stronger selection for genome compactness (against excess noncoding DNA) on germline-expressed genes. We also demonstrate that the local genome organization in clusters of coexpressed genes plays a fundamental role in the genomic distribution of TEs. Our analysis shows that-in addition to recombination rate-the distribution of TEs is shaped by the interaction of gene expression and genome organization. The important role of selection for compactness sheds a new light on the role of TEs in genome evolution. Instead of making genomes grow passively, TEs are controlled by the forces shaping genome compactness, most likely linked to the efficiency of gene expression or its complexity and possibly their interaction with mechanisms of TE silencing.

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P-selectin glycoprotein ligand-1 (PSGL-1) interacts with selectins to support leukocyte rolling along vascular wall. L- and P-selectin bind to N-terminal tyrosine sulfate residues and to core-2 O-glycans attached to Thr-57, whereas tyrosine sulfation is not required for E-selectin binding. PSGL-1 extracellular domain contains decameric repeats, which extend L- and P-selectin binding sites far above the plasma membrane. We hypothesized that decamers may play a role in regulating PSGL-1 interactions with selectins. Chinese hamster ovary cells expressing wild-type PSGL-1 or PSGL-1 molecules exhibiting deletion or substitution of decamers with the tandem repeats of platelet glycoprotein Ibalpha were compared in their ability to roll on selectins and to bind soluble L- or P-selectin. Deletion of decamers abrogated soluble L-selectin binding and cell rolling on L-selectin, whereas their substitution partially reversed these diminutions. P-selectin-dependent interactions with PSGL-1 were less affected by decamer deletion. Videomicroscopy analysis showed that decamers are required to stabilize L-selectin-dependent rolling. Importantly, adhesion assays performed on recombinant decamers demonstrated that they directly bind to E-selectin and promote slow rolling. Our results indicate that the role of decamers is to extend PSGL-1 N terminus far above the cell surface to support and stabilize leukocyte rolling on L- or P-selectin. In addition, they function as a cell adhesion receptor, which supports approximately 80% of E-selectin-dependent rolling.

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Closely related species may be very difficult to distinguish morphologically, yet sometimes morphology is the only reasonable possibility for taxonomic classification. Here we present learning-vector-quantization artificial neural networks as a powerful tool to classify specimens on the basis of geometric morphometric shape measurements. As an example, we trained a neural network to distinguish between field and root voles from Procrustes transformed landmark coordinates on the dorsal side of the skull, which is so similar in these two species that the human eye cannot make this distinction. Properly trained neural networks misclassified only 3% of specimens. Therefore, we conclude that the capacity of learning vector quantization neural networks to analyse spatial coordinates is a powerful tool among the range of pattern recognition procedures that is available to employ the information content of geometric morphometrics.

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Recent evidence indicates that B cells are required for susceptibility to infection with Leishmania major in BALB/c mice. In this study, we analyzed the role of the IL-10 produced by B cells in this process. We showed that B cells purified from the spleen of BALB/c mice produced IL-10 in response to stimulation with L. major in vitro. In vivo, early IL-10 mRNA expression is detected after L. major infection in B cells from draining lymph nodes of susceptible BALB/c, but not of resistant C57BL/6 mice. Although adoptive transfer of naive wild-type B cells prior to infection in B cell-deficient BALB/c mice restored Th2 cell development and susceptibility to infection with L. major of these otherwise resistant mice, adoptive transfer of IL-10(-/-) B cells mice did not. B cells stimulated by L. major, following in vitro or in vivo encounter, express the CD1d and CD5 molecules and the IL-10 produced by these cells downregulate IL-12 production by L. major-stimulated dendritic cells. These observations indicate that IL-10 secreting B cells are phenotypically and functionally regulatory B cells. Altogether these results demonstrate that the IL-10 produced by regulatory CD1d+ CD5+ B cells in response to L. major is critical for Th2 cell development in BALB/c mice.

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To provide a quantitative support to the handwriting evidence evaluation, a new method was developed through the computation of a likelihood ratio based on a Bayesian approach. In the present paper, the methodology is briefly described and applied to data collected within a simulated case of a threatening letter. Fourier descriptors are used to characterise the shape of loops of handwritten characters "a" of the true writer of the threatening letter, and: 1) with reference characters "a" of the true writer of the threatening letter, and then 2) with characters "a" of a writer who did not write the threatening letter. The findings support that the probabilistic methodology correctly supports either the hypothesis of authorship or the alternative hypothesis. Further developments will enable the handwriting examiner to use this methodology as a helpful assistance to assess the strength of evidence in handwriting casework.