28 research outputs found

    Análisis del proceso de venta en Datinza

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    En este escrito se elabora un Trabajo de Fin de Grado propio a la línea de Dirección de Ventas del Grado de Marketing e Investigación de Mercados de la Universidad de Zaragoza. El objetivo principal que estamos analizando es el proceso de venta por parte de la empresa Datinza, empresa especializada en la digitalización de documentos de receta tanto electrónica como a papel de los colegios de Farmaceúticos de España. Por ello se adaptan unos objetivos específicos a conocer, como si el vendedor realizó un tipo de venta relacional con el cliente, si ejecutó todas las fases del proceso de venta e incluso si realizó un tipo de venta adaptativa con el cliente según sus necesidades, así como la satisfacción del cliente con la actuación del vendedor

    Proyecto de intervención comunitario para la autonomía personal de las personas en situación de dependencia

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    El trabajo final de grado consiste en el diseño de un proyecto de intervención comunitario centrado en el ámbito de la Ley 39/2006 de 14 de diciembre, de Promoción de la Autonomía Personal y Atención a las personas en situación de dependencia (LAPAD). Con referencia a esta materia se han desarrollado, aunque sin llegar a impulsarse, aquellos servicios que hacen referencia al Sistema de Atención a la Dependencia, haciéndose de la excepción (prestaciones económicas), la norma. Por otro lado, existe una ausencia de actuaciones por parte de las Administraciones Públicas en el desarrollo de los servicios preventivos y de promoción que hacen referencia al Sistema para la Autonomía Personal. El objetivo es desarrollar e impulsar desde el asociacionismo, los servicios para la Autonomía Personal, a través de la actuación de los siguientes agentes sociales: sociedad civil del Barrio de Delicias en la ciudad Zaragoza; familias afectadas por personas valoradas con grado y nivel de dependencia; y la ciudadanía activa que quiera unirse bajo los principios de solidaridad e interés común, fomentando de esta manera el reconocimiento y el ejercicio de los derechos sociales. Todo ello, impulsando una reformulación del Sistema para la Autonomía Personal a través de la creación de nuevos servicios que ayuden al bienestar de este colectivo fomentando la prevención y la promoción personal (rehabilitación, fisioterapia, psicomotricidad…), así como también utilizando aquellos que ya existen en la comunida

    Cooperativity of stress-responsive transcription factors in core hypoxia-inducible factor binding regions

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    The transcriptional response driven by Hypoxia-inducible factor (HIF) is central to the adaptation to oxygen restriction. Despite recent characterization of genome-wide HIF DNA binding locations and hypoxia-regulated transcripts in different cell types, the molecular bases of HIF target selection remain unresolved. Herein, we combined multi-level experimental data and computational predictions to identify sequence motifs that may contribute to HIF target selectivity. We obtained a core set of bona fide HIF binding regions by integrating multiple HIF1 DNA binding and hypoxia expression profiling datasets. This core set exhibits evolutionarily conserved binding regions and is enriched in functional responses to hypoxia. Computational prediction of enriched transcription factor binding sites identified sequence motifs corresponding to several stress-responsive transcription factors, such as activator protein 1 (AP1), cAMP response element-binding (CREB), or CCAAT-enhancer binding protein (CEBP). Experimental validations on HIF-regulated promoters suggest a functional role of the identified motifs in modulating HIF-mediated transcription. Accordingly, transcriptional targets of these factors are over-represented in a sorted list of hypoxia-regulated genes. Altogether, our results implicate cooperativity among stress-responsive transcription factors in fine-tuning the HIF transcriptional responseThis work was supported by Ministerio de Ciencia e Innovación (Spanish Ministry of Science and Innovation, MICINN) [grant number SAF2008-03147 to L. del P.], Comunidad Autónoma de Madrid [grant number S-SAL-0311_2006 to L. del P.] and the 7th Research Framework Programme of the European Union [grant number METOXIA project ref. HEALTH-F2-2009-222741] to L. del P. D.V. was a recipient of PhD funding from the Spanish Ministry of Science and Innovation [FPU programme] and the European Molecular Biology Organization [Short-Term Fellowships

    Hypoxia Promotes Glycogen Accumulation through Hypoxia Inducible Factor (HIF)-Mediated Induction of Glycogen Synthase 1

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    When oxygen becomes limiting, cells reduce mitochondrial respiration and increase ATP production through anaerobic fermentation of glucose. The Hypoxia Inducible Factors (HIFs) play a key role in this metabolic shift by regulating the transcription of key enzymes of glucose metabolism. Here we show that oxygen regulates the expression of the muscle glycogen synthase (GYS1). Hypoxic GYS1 induction requires HIF activity and a Hypoxia Response Element within its promoter. GYS1 gene induction correlated with a significant increase in glycogen synthase activity and glycogen accumulation in cells exposed to hypoxia. Significantly, knockdown of either HIF1α or GYS1 attenuated hypoxia-induced glycogen accumulation, while GYS1 overexpression was sufficient to mimic this effect. Altogether, these results indicate that GYS1 regulation by HIF plays a central role in the hypoxic accumulation of glycogen. Importantly, we found that hypoxia also upregulates the expression of UTP:glucose-1-phosphate urydylyltransferase (UGP2) and 1,4-α glucan branching enzyme (GBE1), two enzymes involved in the biosynthesis of glycogen. Therefore, hypoxia regulates almost all the enzymes involved in glycogen metabolism in a coordinated fashion, leading to its accumulation. Finally, we demonstrated that abrogation of glycogen synthesis, by knock-down of GYS1 expression, impairs hypoxic preconditioning, suggesting a physiological role for the glycogen accumulated during chronic hypoxia. In summary, our results uncover a novel effect of hypoxia on glucose metabolism, further supporting the central importance of metabolic reprogramming in the cellular adaptation to hypoxia

    Genome-wide identification of hypoxia-inducible factor binding sites and target genes by a probabilistic model integrating transcription-profiling data and in silico binding site prediction

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    The transcriptional response driven by Hypoxia-inducible factor (HIF) is central to the adaptation to oxygen restriction. Hence, the complete identification of HIF targets is essential for understanding the cellular responses to hypoxia. Herein we describe a computational strategy based on the combination of phylogenetic footprinting and transcription profiling meta-analysis for the identification of HIF-target genes. Comparison of the resulting candidates with published HIF1a genome-wide chromatin immunoprecipitation indicates a high sensitivity (78%) and specificity (97.8%). To validate our strategy, we performed HIF1a chromatin immunoprecipitation on a set of putative targets. Our results confirm the robustness of the computational strategy in predicting HIF-binding sites and reveal several novel HIF targets, including RE1-silencing transcription factor co-repressor (RCOR2). In addition, mapping of described polymorphisms to the predicted HIF-binding sites identified several single-nucleotide polymorphisms (SNPs) that could alter HIF binding. As a proof of principle, we demonstrate that SNP rs17004038, mapping to a functional hypoxia response element in the macrophage migration inhibitory factor (MIF) locus, prevents induction of this gene by hypoxia. Altogether, our results show that the proposed strategy is a powerful tool for the identification of HIF direct targets that expands our knowledge of the cellular adaptation to hypoxia and provides cues on the inter-individual variation in this response

    Metformin reduces macrophage HIF1α-dependent proinflammatory signaling to restore brown adipocyte function in vitro

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    © 2021 The Authors.Therapeutic potential of metformin in obese/diabetic patients has been associated to its ability to combat insulin resistance. However, it remains largely unknown the signaling pathways involved and whether some cell types are particularly relevant for its beneficial effects. M1-activation of macrophages by bacterial lipopolysaccharide (LPS) promotes a paracrine activation of hypoxia-inducible factor-1α (HIF1α) in brown adipocytes which reduces insulin signaling and glucose uptake, as well as β-adrenergic sensitivity. Addition of metformin to M1-polarized macrophages blunted these signs of brown adipocyte dysfunction. At the molecular level, metformin inhibits an inflammatory program executed by HIF1α in macrophages by inducing its degradation through the inhibition of mitochondrial complex I activity, thereby reducing oxygen consumption in a reactive oxygen species (ROS)-independent manner. In obese mice, metformin reduced inflammatory features in brown adipose tissue (BAT) such as macrophage infiltration, proinflammatory signaling and gene expression, and restored the response to cold exposure. In conclusion, the impact of metformin on macrophages by suppressing a HIF1α-dependent proinflammatory program is likely responsible for a secondary beneficial effect on insulin-mediated glucose uptake and β-adrenergic responses in brown adipocytes.This work was funded by grants RTI2018-094052-B-100 (MCIN/AEI/10.13039/501100011033/FEDER) , S2017/BMD-3684 (Comunidad de Madrid, Spain), Fundación Ramón Areces (Spain) and CIBERdem (ISCIII) to A.M.V., grant S2010/BMD-2423 (Comunidad de Madrid, Spain) to M.J.O. and A.M.V., PID2019-106371RB-I00 (MCIN/ AEI /10.13039/501100011033/ FEDER) to J.A and PI16/00789 (ISCIII, Spain) to M.A.F.-M. We also acknowledge all members of AMV's laboratory for helpful discussions. M.F. and B.V were supported by Inserm, CNRS, Université de Paris, and Région Ile-de-France. We also acknowledge the EFSD Albert Reynolds travel grant fellowship to V.F

    State-of-the-art methods for exposure-health studies: Results from the exposome data challenge event

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    The exposome recognizes that individuals are exposed simultaneously to a multitude of different environmental factors and takes a holistic approach to the discovery of etiological factors for disease. However, challenges arise when trying to quantify the health effects of complex exposure mixtures. Analytical challenges include dealing with high dimensionality, studying the combined effects of these exposures and their interactions, integrating causal pathways, and integrating high-throughput omics layers. To tackle these challenges, the Barcelona Institute for Global Health (ISGlobal) held a data challenge event open to researchers from all over the world and from all expertises. Analysts had a chance to compete and apply state-of-the-art methods on a common partially simulated exposome dataset (based on real case data from the HELIX project) with multiple correlated exposure variables (P > 100 exposure variables) arising from general and personal environments at different time points, biological molecular data (multi-omics: DNA methylation, gene expression, proteins, metabolomics) and multiple clinical phenotypes in 1301 mother–child pairs. Most of the methods presented included feature selection or feature reduction to deal with the high dimensionality of the exposome dataset. Several approaches explicitly searched for combined effects of exposures and/or their interactions using linear index models or response surface methods, including Bayesian methods. Other methods dealt with the multi-omics dataset in mediation analyses using multiple-step approaches. Here we discuss features of the statistical models used and provide the data and codes used, so that analysts have examples of implementation and can learn how to use these methods. Overall, the exposome data challenge presented a unique opportunity for researchers from different disciplines to create and share state-of-the-art analytical methods, setting a new standard for open science in the exposome and environmental health field

    Identificación de elementos de Cis responsables de la regulación de la expresión génica por hipoxia mediada por el factor inducible de hipoxia hif

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    Tesis doctoral inédita leída en la Universidad Autónoma de Madrid, Facultad de Medicina. Departamento de Bioquímica. Fecha de lectura: 22 de Mayo de 200

    Cooperativity of stress-responsive transcription factors in core hypoxia-inducible factor binding regions

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    This is an open-access article distributed under the terms of the Creative Commons Attribution License.-- et al.The transcriptional response driven by Hypoxia-inducible factor (HIF) is central to the adaptation to oxygen restriction. Despite recent characterization of genome-wide HIF DNA binding locations and hypoxia-regulated transcripts in different cell types, the molecular bases of HIF target selection remain unresolved. Herein, we combined multi-level experimental data and computational predictions to identify sequence motifs that may contribute to HIF target selectivity. We obtained a core set of bona fide HIF binding regions by integrating multiple HIF1 DNA binding and hypoxia expression profiling datasets. This core set exhibits evolutionarily conserved binding regions and is enriched in functional responses to hypoxia. Computational prediction of enriched transcription factor binding sites identified sequence motifs corresponding to several stress-responsive transcription factors, such as activator protein 1 (AP1), cAMP response element-binding (CREB), or CCAAT-enhancer binding protein (CEBP). Experimental validations on HIF-regulated promoters suggest a functional role of the identified motifs in modulating HIF-mediated transcription. Accordingly, transcriptional targets of these factors are over-represented in a sorted list of hypoxia-regulated genes. Altogether, our results implicate cooperativity among stress-responsive transcription factors in fine-tuning the HIF transcriptional response.This work was supported by Ministerio de Ciencia e Innovación (Spanish Ministry of Science and Innovation, MICINN) [grant number SAF2008-03147 to L. del P.], Comunidad Autónoma de Madrid [grant number S-SAL-0311_2006 to L. del P.] and the 7th Research Framework Programme of the European Union [grant number METOXIA project ref. HEALTH-F2-2009-222741] to L. del P. D.V. was a recipient of PhD funding from the Spanish Ministry of Science and Innovation [FPU programme] and the European Molecular Biology Organization [Short-Term Fellowships].Peer reviewe
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