86 research outputs found

    Caracterización molecular de las integrinas Beta-1 (CD29) y Beta-3 (CD61) porcinas: obtención de anticuerpos contra dominios específicos de ambas moléculas

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    Las integrinas son receptores heterodiméricos de la superficie celular, compuestos por una subunidad alfa y otra beta, que unen principalmente proteínas de la matriz extracelular. La subunidad beta 1 forma parte de 12 heterodímeros diferentes con diferentes características e implicaciones biológicas; mientras que la beta 3, a pesar de formar parte de sólo dos heterodímeros, está implicada en una amplia variedad de funciones fisiológicas y patológicas importantes. Un número elevado de estos receptores de adhesión han sido caracterizados en humano y ratón; y sin embargo, el número caracterizado hasta el momento en especies domésticas es muy reducid

    Biological pathway analysis by ArrayUnlock and Ingenuity Pathway Analysis

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    <p>Abstract</p> <p>Background</p> <p>Once a list of differentially expressed genes has been identified from a microarray experiment, a subsequent post-analysis task is required in order to find the main biological processes associated to the experimental system. This paper describes two pathways analysis tools, ArrayUnlock and Ingenuity Pathways Analysis (IPA) to deal with the post-analyses of microarray data, in the context of the EADGENE and SABRE post-analysis workshop. Dataset employed in this study proceeded from an experimental chicken infection performed to study the host reactions after a homologous or heterologous secondary challenge with two species of <it>Eimeria</it>.</p> <p>Results</p> <p>Analysis of the same microarray data source employing both commercial pathway analysis tools in parallel let to identify several biological and/or molecular functions altered in the chicken <it>Eimeria maxima </it>infection model, including several immune system related pathways. Biological functions differentially altered in the homologous and heterologous second infection were identified. Similarly, the effect of the timing in a homologous second infection was characterized by several biological functions.</p> <p>Conclusion</p> <p>Functional analysis with ArrayUnlock and IPA provided information related to functional differences with the three comparisons of the chicken infection leading to similar conclusions. ArrayUnlock let an improvement of the annotations of the chicken genome adding InterPro annotations to the data set file. IPA provides two powerful tools to understand the pathway analysis results: the networks and canonical pathways that showed several pathways related to an adaptative immune response.</p

    Gene expression pattern in swine neutrophils after lipopolysaccharide exposure: a time course comparison

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    Background: Experimental exposure of swine neutrophils to bacterial lipopolysaccharide (LPS) represents a model to study the innate immune response during bacterial infection. Neutrophils can effectively limit the infection by secreting lipid mediators, antimicrobial molecules and a combination of reactive oxygen species (ROS) without new synthesis of proteins. However, it is known that neutrophils can modify the gene expression after LPS exposure. We performed microarray gene expression analysis in order to elucidate the less known transcriptional response of neutrophils during infection. Methods: Blood samples were collected from four healthy Iberian pigs and neutrophils were isolated and incubated during 6, 9 and 18 hrs in presence or absence of lipopolysaccharide (LPS) from Salmonella enterica serovar Typhimurium. RNA was isolated and hybridized to Affymetrix Porcine GeneChip®. Microarray data were normalized using Robust Microarray Analysis (RMA) and then, differential expression was obtained by an analysis of variance (ANOVA). Results: ANOVA data analysis showed that the number of differentially expressed genes (DEG) after LPS treatment vary with time. The highest transcriptional response occurred at 9 hr post LPS stimulation with 1494 DEG whereas at 6 and 18 hr showed 125 and 108 DEG, respectively. Three different gene expression tendencies were observed: genes in cluster 1 showed a tendency toward up-regulation; cluster 2 genes showing a tendency for down-regulation at 9 hr; and cluster 3 genes were up-regulated at 9 hr post LPS stimulation. Ingenuity Pathway Analysis revealed a delay of neutrophil apoptosis at 9 hr. Many genes controlling biological functions were altered with time including those controlling metabolism and cell organization, ubiquitination, adhesion, movement or inflammatory response. Conclusions: LPS stimulation alters the transcriptional pattern in neutrophils and the present results show that the robust transcriptional potential of neutrophils under infection conditions, indicating that active regulation of gene expression plays a major role in the neutrophil-mediated- innate immune respons

    Short review about diverse anxious manifestations described in children

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    El presente trabajo trata de revisar diferentes formas de ansiedad en la infancia, destacándose ocho tipologías al respecto: reacciones de angustia episódicas, manifestaciones pre-verbales de angustia, ataques de ansiedad, estados de ansiedad crónica, ansiedad normal de separación, manifestaciones hipocondríacas y reacciones obsesivo-compulsivas. Se establecen, por fin, algunas conclusiones que, aunque no definitivas, sí ofrecen una visión bastante actual del estado de la cuestión.The present paper intends to revise different forms of anxiety states in infancy, emphasizing eight types: Episodic anxiety reaction, panic attacks chronic anxiety states, normal separation anxiety, phobias, hypochondriac manifestations, and obsessive-compulsive reactions. At least, we establish some conclusions, that although not definitive, it does offer an up to date view of the state of the matter

    RBM-based Silhouette Encoding for Human Action Modelling

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    Abstract—In this paper we evaluate the use of Restricted Bolzmann Machines (RBM) in the context of learning and recognizing human actions. The features used as basis are binary silhouettes of persons. We test the proposed approach on two datasets of human actions where binary silhouettes are available: ViHASi (synthetic data) and Weizmann (real data). In addition, on Weizmann dataset, we combine features based on optical flow with the associated binary silhouettes. The results show that thanks to the use of RBM-based models, very informative and shorter feature vectors can be obtained for the classification tasks, improving the classification performance. Keywords-Restricted Boltzmann Machines; binary silhouettes; human actions

    Efecto de la suplementación de ácidos grasos poliinsaturados de cadena larga durante el embarazo en el neurodesarrollo infantil

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    Los ácidos grasos poliinsaturados de cadena larga (ÁGPICL) son claves en el neurodesarrollo embrionario, fetal y durante la infancia. Además, son esenciales para el ser humano, lo que significa que no se pueden sintetizar y han de ser ingeridos en la dieta. Durante el embarazo, se adquieren de forma directa a partir de los alimentos consumidos por la madre y en la infancia a través de la leche materna y de complementos nutricionales. Las conclusiones obtenidas sugieren que la toma de estos suplementos sería solamente útil para el neurodesarrollo del bebé en aquellas mujeres que tengan un déficit debido a factores exógenos como la dieta, o endógenos como factores genéticos para la polimerización ÁGPICL; así como en prematuros, no viéndose efectos aparentes en mujeres que poseen niveles normales de ÁGPICL ni en bebés nacidos a término

    Comparative Proteomics Reveals Differences in Host-Pathogen Interaction between Infectious and Commensal Relationship with Campylobacter jejuni

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    Copyright © 2017 Ayllón, Jiménez-Marín, Argüello, Zaldívar-López, Villar, Aguilar, Moreno, De La Fuente and Garrido. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.[EN] Campylobacter jejuni is the leading food-borne poisoning in industrialized countries. While the bacteria causes disease in humans, it merely colonizes the gut in poultry or pigs, where seems to establish a commensal relationship. Until now, few studies have been conducted to elucidate the relationship between C. jejuni and its different hosts. In this work, a comparative proteomics approach was used to identify the underlying mechanisms involved in the divergent outcome following C. jejuni infection in human and porcine host. Human (INT-407) and porcine (IPEC-1) intestinal cell lines were infected by C. jejuni for 3 h (T3h) and 24 h (T24h). C. jejuni infection prompted an intense inflammatory response at T3h in human intestinal cells, mainly characterized by expression of proteins involved in cell spreading, cell migration and promotion of reactive oxygen species (ROS). Proteomic analysis evidenced significantly regulated biofunctions in human cells related with engulfment and endocytosis, and supported by canonical pathways associated to infection such as caveolar- and clathrin-mediated endocytosis signaling. In porcine IPEC-1 cells, inflammatory response as well as signaling pathways that control cellular functions such as cell migration, endocytosis and cell cycle progression resulted downregulated. These differences in the host response to infection were supported by the different pattern of adhesion and invasion proteins expressed by C. jejuni in human and porcine cells. No marked differences in expression of virulence factors involved in adaptive response and iron acquisition functions were observed. Therefore, the results of this study suggest that both host and pathogen factors are responsible for commensal or infectious character of C. jejuni in different hosts.SIThis work was supported by the Spanish Ministry of Economy and Competitiveness (AGL2014-54089-R). SZ is a postdoctoral researcher supported by the Postdoctoral Trainee Program of the Spanish Ministry of Economy and Competitiveness (FPDI2013-15619). HA is a postdoctoral researcher supported by the Juan de la Cierva Postdoctoral Trainee Program of the Spanish Ministry of Economy and Competitiveness (FJCI-2014-22877). MV was supported by the Research Plan of the University of the Castilla-La Mancha, SpainWe thank the Andalusian Platform of Bioinformatics (PAB) from the University of Malaga for granting the right to use IPA bioinformatic tools
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