908 resultados para 3390


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Autophagie ist ein konservierter, kataboler Mechanismus in allen eukaryoten Zellen. Unter anderem wird ihm eine wichtige Rolle als zellautonomer Abwehrmechanismus gegen Mikroorganismen zugeschrieben; von manchen Infektionserregern wird er jedoch unterlaufen oder sogar genutzt. Der stärkste Auslöser der Autophagie ist ein Mangel an Nährstoffen, insbesondere Aminosäuren. Über die Deaktivierung der Kinase mTORC1 und die Phosphorylierung des eukaryoten Translationsinitiationsfaktors eIF2α hemmt die Nährstoffknappheit die Proteinbiosynthese und aktiviert gleichzeitig Autophagie. Wie Mikroorganismen, insbesondere Bakterien, Autophagie auslösen oder manipulieren, ist derzeit Gegenstand intensiver Forschung. Modifikationen an Mikroben oder Phagosomen und Adapterproteine, die diese Veränderungen und Komponenten des Autophagieapparates erkennen, scheinen jedenfalls bei der selektiven Erkennung durch die Autophagie-Maschinerie wichtig zu sein. rnIn der vorliegenden Dissertationsarbeit wird die Rolle des membranporenbildenden α-Toxins von Staphylococcus aureus für die Induktion von Autophagie beleuchtet. Zum einen erwies sich die Akkumulation von (EGFP)-LC3(II), einem Marker der Autophagosomen, um intrazelluläre S. aureus als abhängig von α-Toxin. Zweitens, genügt extrazellulär appliziertes α-Toxin um (EGFP)-LC3(II)-positive Endosomen zu induzieren. Während der Angriff aus dem extrazellulären Raum jedoch binnen kurzer Zeit eine fokale Kumulation von phosphoryliertem eIF2α an der Plasmamembran induziert, die an der Internalisierung des Toxins beteiligt ist, findet sich am phagosomalen Kompartiment keine Toxin-abhängige Anhäufung von p-eIF2α oder proximalen Autophagieregulatoren. Dies impliziert, dass Toxin-Angriff auf die Plasmamembran, nicht aber auf das Phagosom, zu einer Reaktion führt, wie sie bei massivem Nährstoffmangel zu beobachten ist. Obwohl keine α-Toxin-abhängige Kumulation von p-eIF2α bei einem Angriff aus dem Phagosom erfolgt, findet sich um α-Toxin-produzierende Bakterien eine massive Kumulation von LC3 und Adapterprotein p62/Sequestosome1. Dies deutet daraufhin, dass der Ort des Angriffs - Plasmamembran oder Phagosom – für den Autophagie-induzierenden Mechanismus wichtig sein könnte. Der unterschiedliche Effekt auf die zellulären Ionenkonzentrationen, den ein Angriff auf die Plasmamembran oder auf ein Phagosom auslösen würde, bietet hierfür eine mögliche Erklärung. Die Aktivierung der Autophagie über Adapterproteine könnte dann als back-up Mechanismus fungieren, der auch dann greift, wenn eine Invasion ohne Schädigung der Plasmamembran erfolgt. Ein cross-talk der beiden Induktionswege ist angesichts der Bedeutung von p62 für die selektive und die Hunger-assoziierte Autophagie gut möglich; sezerniertes Toxin könnte durch die Aktivierung der basalen Autophagie Adapter-basierte Mechanismen verstärken.

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Somatosensory object discrimination has been shown to involve widespread cortical and subcortical structures in both cerebral hemispheres. In this study we aimed to identify the networks involved in tactile object manipulation by principal component analysis (PCA) of individual subjects. We expected to find more than one network.

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In 2000, fishermen reported the appearance of deformed reproductive organs in whitefish (Coregonus spp.) from Lake Thun, Switzerland. Despite intensive investigations, the causes of these abnormalities remain unknown. Using gene expression profiling, we sought to identify candidate genes and physiological processes possibly associated with the observed gonadal deformations, in order to gain insights into potential causes. Using in situ-synthesized oligonucleotide arrays, we compared the expression levels at 21,492 unique transcript probes in liver and head kidney tissue of male whitefish with deformed and normally developed gonads, respectively. The fish had been collected on spawning sites of two genetically distinct whitefish forms of Lake Thun. We contrasted the gene expression profiles of 56 individuals, i.e., 14 individuals of each phenotype and of each population. Gene-by-gene analysis revealed weak expression differences between normal and deformed fish, and only one gene, ictacalcin, was found to be up-regulated in head kidney tissue of deformed fish from both whitefish forms, However, this difference could not be confirmed with quantitative real-time qPCR. Enrichment analysis on the level of physiological processes revealed (i) the involvement of immune response genes in both tissues, particularly those linked to complement activation in the liver, (ii) proteolysis in the liver and (iii) GTPase activity and Ras protein signal transduction in the head kidney. In comparison with current literature, this gene expression pattern signals a chronic autoimmune disease in the testes. Based on the recent observations that gonad deformations are induced through feeding of zooplankton from Lake Thun we hypothesize that a xenobiotic accumulated in whitefish via the plankton triggering autoimmunity as the likely cause of gonad deformations. We propose several experimental strategies to verify or reject this hypothesis.

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The host cell cytoskeleton plays a key role in the life cycle of viral pathogens whose propagation depends on mandatory intracellular steps. Accordingly, also the human immunodeficiency virus type 1 (HIV-1) has evolved strategies to exploit and modulate in particular the actin cytoskeleton for its purposes. This review will recapitulate recent findings on how HIV-1 hijacks the cytoskeleton to facilitate entry into, transport within and egress from host cells as well as to commandeer communication of infected with uninfected bystander cells.

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Physiological pregnancy is associated with an increase in lipids from the first to the third trimester. This is a highly regulated response to satisfy energy and membrane demands of the developing fetus. Pregnancy disorders, such as pre-eclampsia, are associated with a dysregulation of lipid metabolism manifesting in increased maternal plasma lipid levels. In fetal placental tissue, only scarce information on the lipid profile is available, and data for gestational diseases are lacking. In the present study, we investigated the placental lipid content in control versus pre-eclamptic samples, with the focus on tissue phospholipid levels and composition. We found an increase in total phospholipid content as well as changes in individual phospholipid classes in pre-eclamptic placental tissues compared to controls. These alterations could be a source of placental pathological changes in pre-eclampsia, such as lipid peroxide insult or dysregulation of lipid transport across the syncytiotrophoblast.

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The Green Revolution has enabled Asian countries to boost their crop production enormously. However, Africa has not benefitted from this agricultural revolution since it did not consider local, but important crops grown in the continent. In addition to their versatile adaptation to extreme environmental conditions, African indigenous crops provide income for subsistence farmers and serve as staple food for the vast majority of low-income consumers. These crops, which are composed of cereals, legumes, vegetables and root crops, are commonly known as underutilized or orphan crops. Recently, some of these under-researched crops have received the attention of the national and international research community, and modern improvement techniques including diverse genetic and genomic tools have been applied in order to boost their productivity. The major bottlenecks affecting the productivity of these crops are unimproved genetic traits such as low yield and poor nutritional status and environmental factors such as drought, weeds and pests. Hence, an agricultural revolution is needed to increase food production of these under-researched crops in order to feed the ever-increasing population in Africa. Here, we present both the benefits and drawbacks of major African crops, the efforts being made to improve them, and suggestions for some future directions.

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In this paper, we propose an intelligent method, named the Novelty Detection Power Meter (NodePM), to detect novelties in electronic equipment monitored by a smart grid. Considering the entropy of each device monitored, which is calculated based on a Markov chain model, the proposed method identifies novelties through a machine learning algorithm. To this end, the NodePM is integrated into a platform for the remote monitoring of energy consumption, which consists of a wireless sensors network (WSN). It thus should be stressed that the experiments were conducted in real environments different from many related works, which are evaluated in simulated environments. In this sense, the results show that the NodePM reduces by 13.7% the power consumption of the equipment we monitored. In addition, the NodePM provides better efficiency to detect novelties when compared to an approach from the literature, surpassing it in different scenarios in all evaluations that were carried out.