372 research outputs found

    Reticulon Protein-1C: A New Hope in the Treatment of Different Neuronal Diseases

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    Reticulons (RTNs) are a group of membrane proteins localized on the ER and known to regulate ER structure and functions. Several studies have suggested that RTNs are involved in different important cellular functions such as changes in calcium homeostasis, ER-stress-mediated cell death, and autophagy. RTNs have been demonstrated to exert a cancer specific proapoptotic function via the interaction or the modulation of specific proteins. Reticulons have also been implicated in different signaling pathways which are at the basis of the pathogenesis of several neurodegenerative diseases. In this paper we discuss the accumulating evidence identifying RTN-1C protein as a promising target in the treatment of different pathologies such as cancer or neurodegenerative disorders

    Free and protein-conjugated polyamines in mouse epidermal cells. Effect of high calcium and retinoic acid.

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    We have investigated polyamine metabolism in primary cultures of mouse epidermal cells. These cells, which grow at low Ca2+ levels as a monolayer with characteristics of basal cells, terminally differentiate when the extracellular Ca2+ level is raised above 1 mM. The cellular levels of free polyamines were measured, and, after incubation of cell cultures with [3H]putrescine, the distribution of label in both acid-soluble and acid-insoluble cellular components was examined. Free polyamine levels were reduced in cells induced to differentiate. Treatment with retinoic acid, which prevents differentiation and causes increased proliferation, resulted in an increase in free putrescine. Upon adjustment of the calcium concentration to a level that induces differentiation, the enzyme transglutaminase was activated, and a concomitant increase in the level of both protein-bound mono- and bis-gamma-glutamyl derivatives of putrescine and spermidine was observed. Isolation of a material of apparent molecular weight about 6000 which contains only mono-gamma-glutamylpolyamines and the finding of both mono- and bis-gamma-glutamylpolyamines in the protein fraction containing cornified cell envelopes provided the basis for speculation on polyamines in envelope formation. Our data suggest that polyamines play a role during epidermal cell differentiation through transglutaminase-mediated post-translational modification

    Previsione delle traiettorie di blocchi mobilizzati da frane di crollo: applicazione e confronto di modelli

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    Vengono trattati aspetti relativi alla previsione delle traiettorie e distanze di propagazione di blocchi mobilizzati da frane di crollo. Particolare attenzione viene posta all'applicazione e al confronto di modelli previsionali

    Recognition and Assessment of Geomorphosites in Malta at the Il-Majjistral Nature and History Park

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    The Il-Majjistral Nature and History Park, located on the northwestern coast of the Island of Malta, is a protected area with natural, cultural and tourist interests. The Park, which was registered in 2008, is characterised by a landscape dominated by limestone and clay. Geomorphological features are highly controlled by the presence of faults and rock masses characterised by different physical and mechanical properties. Coastal cliffs, bays and sandy beaches are the most outstanding geomorphological features of the Park, creating a breathtaking landscape which is an attraction for a number of visitors. In the framework of an international research project, a study for the identification, selection and enhancement of the rich geomorphological heritage of the area has been carried out. In particular, a recognition and a quantitative assessment of geomorphosites on the basis of two different methodologies has been developed, and the results have been compared to establish the reliability of the methodologies. The results represent the first step and the necessary basic knowledge for possible enhancement of geomorphosites in Malta and the promotion of tourism activities at the Il-Majjistral Nature and History Park through the auspices of environmental agencies

    Advanced SAR interferometric analysis to support geomorphological interpretation of slow-moving coastal landslides (Malta, Mediterranean Sea)

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    An advanced SAR interferometric analysis has been combined with a methodology for the automatic classification of radar reflectors phase histories to interpret slope-failure kinematics and trend of displacements of slow-moving landslides. To accomplish this goal, the large dataset of radar images, acquired in more than 20 years by the two European Space Agency (ESA) missions ERS-1/2 and ENVISAT, was exploited. The analysis was performed over the northern sector of Island of Malta (central Mediterranean Sea), where extensive landslides occur. The study was assisted by field surveys and with the analysis of existing thematic maps and landslide inventories. The outcomes allowed definition of a model capable of describing the geomorphological evolution of slow-moving landslides, providing a key for interpreting such phenomena that, due to their slowness, are usually scarcely investigated

    Landslide susceptibility analysis exploiting Persistent Scatterers data in the northern coast of Malta

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    During the last decade a pressing need for more adequate tools to manage the considerable increasing number of hydrogeological emergencies arose among land planning and civil protection authorities. As a consequence, both development and testing of different qualitative and quantitative methods for landslide displacements detection become fundamental in order to provide the best analysis performance in terms of cost-benefit and scientific reliability. Lately quantitative methods to measure deformations of unstable slopes had great advances. In this context, remotely sensed radar techniques, such as PSI (Persistent Scatterers Interferometry), can assist traditional landslide investigations in assessing ground and infrastructure deformations caused by large landslides. The main purpose of this study is exploiting the results of PSI analysis conducted over the Island of Malta to train a Bayesan model for evaluating active landslide susceptibility. This approach has been applied in the NW coast of Malta, where outstanding coastal landslides, such as rock spreads and block slides, have been recognized and mapped. The outcomes of the statistical analysis have been validated through specific field check and GNSS measurements. The results show that the developed susceptibility model predicts an acceptable percentage of landslides and can be considered reliable even if in areas without PSI data
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