998 resultados para 617.1


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Aquaporins (AQPs) are essential membrane protein channels for the transport of water across membranes. Fluid movement in the epididymis is important for modulation of the luminal environment, in which sperm mature and reside. This study was designed to understand the morphology and localization of AQPs in ram efferent ducts (ED) and epididymis. For this purpose, the epididymis of seven animals were removed for histologic and immunohistochemical analyses. AQP1 immunoreactivity was observed in the apex of the ED, and AQP9 was found adjacent to the nuclei of the epithelial cells of the ED. The epithelial lining of ram epididymis is pseudostratified columnar and presents principal, basal, apical and narrow cells. In the initial segment (IS), a moderate reaction for AQP1 was observed in the apical cytoplasm of epithelial cells. An intense reactivity for AQP1 was noted over the microvilli of principal cells and in spermatozoa in the caput. In the corpus and cauda, AQP1 was noted only over the endothelial cells of vascular channels located in intertubular spaces. A weak-to-moderate reaction for AQP9 was observed in the nuclei of epithelial cells in the IS, caput and corpus of the epididymis. In the cauda, an intense reaction to AQP9 was observed in the epithelial border. In the IS, caput and corpus, the reactivity for AQP9 differed from those observed in domestic animals. The cauda showed a pattern similar to that previously described. These results indicate that AQPs 1 and 9 have reversed locations and roles in rams, suggesting activity variations related with fluid and solute absorption throughout the epididymis.

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Sphingosine-1-phosphate (S1P) acts as high affinity agonist at specific G-protein-coupled receptors, S1P(1-5), that play important roles e.g. in the cardiovascular and immune systems. A S1P receptor modulating drug, FTY720 (fingolimod), has been effective in phase III clinical trials for multiple sclerosis. FTY720 is a sphingosine analogue and prodrug of FTY720-phosphate, which activates all S1P receptors except S1P(2) and disrupts lymphocyte trafficking by internalizing the S1P(1) receptor. Cis-4-methylsphingosine (cis-4M-Sph) is another synthetic sphingosine analogue that is readily taken up by cells and phosphorylated to cis-4-methylsphingosine-1-phosphate (cis-4M-S1P). Therefore, we analysed whether cis-4M-Sph interacted with S1P receptors through its metabolite cis-4M-S1P in a manner similar to FTY720. Indeed, cis-4M-Sph caused an internalization of S1P receptors, but differed from FTY720 as it acted on S1P(2) and S1P(3) and only weakly on S1P(1), while FTY720 internalized S1P(1) and S1P(3) but not S1P(2). Consequently, pre-incubation with cis-4M-Sph specifically desensitized S1P-induced [Ca(2+)](i) increases, which are mediated by S1P(2) and S1P(3), in a time- and concentration-dependent manner. This effect was not shared by sphingosine or FTY720, indicating that metabolic stability and targeting of S1P(2) receptors were important. The desensitization of S1P-induced [Ca(2+)](i) increases was dependent on the expression of SphKs, predominantly of SphK2, and thus mediated by cis-4M-S1P. In agreement, cis-4M-S1P was detected in the supernatants of cells exposed to cis-4M-Sph. It is concluded that cis-4M-Sph, through its metabolite cis-4M-S1P, acts as a S1P receptor modulator and causes S1P receptor internalization and desensitization. The data furthermore help to define requirements for sphingosine kinase substrates as S1P receptor modulating prodrugs.

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Friedrich Stoltze II, Frankfurter Latern: Produktion, Neumüller

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The relationship between phytoplankton assemblages and the associated optical properties of the water body is important for the further development of algorithms for large-scale remote sensing of phytoplankton biomass and the identification of phytoplankton functional types (PFTs), which are often representative for different biogeochemical export scenarios. Optical in-situ measurements aid in the identification of phytoplankton groups with differing pigment compositions and are widely used to validate remote sensing data. In this study we present results from an interdisciplinary cruise aboard the RV Polarstern along a north-to-south transect in the eastern Atlantic Ocean in November 2008. Phytoplankton community composition was identified using a broad set of in-situ measurements. Water samples from the surface and the depth of maximum chlorophyll concentration were analyzed by high performance liquid chromatography (HPLC), flow cytometry, spectrophotometry and microscopy. Simultaneously, the above- and underwater light field was measured by a set of high spectral resolution (hyperspectral) radiometers. An unsupervised cluster algorithm applied to the measured parameters allowed us to define bio-optical provinces, which we compared to ecological provinces proposed elsewhere in the literature. As could be expected, picophytoplankton was responsible for most of the variability of PFTs in the eastern Atlantic Ocean. Our bio-optical clusters agreed well with established provinces and thus can be used to classify areas of similar biogeography. This method has the potential to become an automated approach where satellite data could be used to identify shifting boundaries of established ecological provinces or to track exceptions from the rule to improve our understanding of the biogeochemical cycles in the ocean.

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Phycobiliproteins are a family of water-soluble pigment proteins that play an important role as accessory or antenna pigments and absorb in the green part of the light spectrum poorly used by chlorophyll a. The phycoerythrins (PEs) are one of four types of phycobiliproteins that are generally distinguished based on their absorption properties. As PEs are water soluble, they are generally not captured with conventional pigment analysis. Here we present a statistical model based on in situ measurements of three transatlantic cruises which allows us to derive relative PE concentration from standardized hyperspectral underwater radiance measurements (Lu). The model relies on Empirical Orthogonal Function (EOF) analysis of Lu spectra and, subsequently, a Generalized Linear Model with measured PE concentrations as the response variable and EOF loadings as predictor variables. The method is used to predict relative PE concentrations throughout the water column and to calculate integrated PE estimates based on those profiles.