863 resultados para Spatial Durbin model
Resumo:
To test whether the structure of a protein is determined in a manner akin to the assembly of a jigsaw puzzle, up to 10 adjacent residues within the core of T4 lysozyme were replaced by methionine. Such variants are active and fold cooperatively with progressively reduced stability. The structure of a seven-methionine variant has been shown, crystallographically, to be similar to wild type and to maintain a well ordered core. The interaction between the core residues is, therefore, not strictly comparable with the precise spatial complementarity of the pieces of a jigsaw puzzle. Rather, a certain amount of give and take in forming the core structure is permitted. A simplified hydrophobic core sequence, imposed without genetic selection or computer-based design, is sufficient to retain native properties in a globular protein.
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Xanthene dyes are known to form dimers with spectral characteristics that have been interpreted in terms of exciton theory. A unique aspect of H-type dimers is the fluorescence quenching that accompanies their formation. Using the principles of exciton theory as a guide, a series of protease substrates was synthesized with a xanthene dye on each side of the cleavage site. To bring the attached dyes into spatial proximity to form a dimer, the molecular design included structure determinant regions in the amino acid sequence. In addition, chromophores were chosen such that changes in absorption spectra indicative of exciton splitting were anticipated. Cleavage of the peptides by a protease resulted in disruption of the dimers and indeed significant absorption spectral changes were observed. Furthermore, substrate cleavage was accompanied by at least an order of magnitude increase in fluorescence intensity. This has allowed determination of intracellular elastase activity using a fluorescence microscope equipped with standard optics.
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Proteolysis of short N alpha-protected peptide substrates bound to polyoxyethylene-polystyrene beads releases selectively free amino sites in the enzyme-accessible "surface" area. The substantial majority of functional sites in the "interior" of the polymeric support are not reached by the enzyme and remain uncleaved (protected). Subsequent synthesis with two classes of orthogonal protecting groups-N alpha-tert-butyloxycarbonyl (Boc) and N alpha-9-fluorenylmethyloxy-carbonyl (Fmoc)-allows generation of two structures on the same bead. The surface structure is available for receptor interactions, whereas the corresponding interior structure is used for coding. Coding structures are usually readily sequenceable peptides. This "shaving" methodology was illustrated by the preparation of a peptide-encoded model peptide combinatorial library containing 1.0 x 10(5) members at approximately 6-fold degeneracy. From this single library, good ligands were selected for three different receptors: anti-beta-endorphin anti-body, streptavidin, and thrombin, and the binding structures were deduced correctly by sequencing the coding peptides present on the same beads.
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The pivotal role of G proteins in sensory, hormonal, inflammatory, and proliferative responses has provoked intense interest in understanding how they interact with their receptors and effectors. Nonetheless, the locations of the receptors and effector binding sites remain poorly characterized, although nearly complete structures of the alphabetagamma heterotrimeric complex are available. Here we apply evolutionary trace (ET) analysis [Lichtarge, O., Bourne, H. R. & Cohen, F. E. (1996) J. Mol. Biol. 257, 342-358] to propose plausible locations for these sites. On each subunit, ET identifies evolutionarily selected surfaces composed of residues that do not vary within functional subgroups and that form spatial clusters. Four clusters correctly identify subunit interfaces, and additional clusters on Galpha point to likely receptor or effector binding sites. Our results implicate the conformationally variable region of Galpha in an effector binding role. Furthermore the range of predicted interactions between the receptor and Galphabetagamma, is sufficiently limited that we can build a low resolution and testable model of the receptor-G protein complex.
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Previously, we developed a rat model of persistent mitochondrial dysfunction based upon the chronic partial inhibition of the mitochondrial enzyme cytochrome oxidase (EC 1.9.3.1). Continuous systemic infusion of sodium azide at approximately 1 mg/kg per hr inhibited cytochrome oxidase activity and produced a spatial learning deficit. In other laboratories, glucocorticoids have been reported to exacerbate neuronal damage from various acute metabolic insults. Therefore, we tested the hypothesis that corticosterone, the primary glucocorticoid in the rat, would potentiate the sodium azide-induced learning deficit. To this end, we first identified nonimpairing doses of sodium azide (approximately 0.75 mg/kg per hr) and corticosterone (100-mg pellet, 3-week sustained-release). We now report that chronic co-administration of these individually nonimpairing treatments produced a severe learning deficit. Moreover, the low dose of corticosterone, which did not elevate serum corticosterone, acted synergistically with sodium azide to inhibit cytochrome oxidase activity. The latter result represents a previously unidentified effect of glucocorticoids that provides a candidate mechanism for glucocorticoid potentiation of neurotoxicity induced by metabolic insult. These results may have the clinical implication of expanding the definition of hypercortisolism in patient populations with compromised oxidative metabolism. Furthermore, they suggest that glucocorticoid treatment may contribute to pathology in disease or trauma conditions that involve metabolic insult.
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Plants can defend themselves from potential pathogenic microorganisms relying on a complex interplay of signaling pathways: activation of the MAPK cascade, transcription of defense related genes, production of reactive oxygen species, nitric oxide and synthesis of other defensive compounds such as phytoalexins. These events are triggered by the recognition of pathogen’s effectors (effector-triggered immunity) or PAMPs (PAMP-triggered immunity). The Cerato Platanin Family (CPF) members are Cys-rich proteins secreted and localized on fungal cell walls, involved in several aspects of fungal development and pathogen-host interactions. Although more than hundred genes of the CPF have been identified and analyzed, the structural and functional characterization of the expressed proteins has been restricted only to few members of the family. Interestingly, those proteins have been shown to bind chitin with diverse affinity and after foliar treatment they elicit defensive mechanisms in host and non-host plants. This property turns cerato platanins into interesting candidates, worth to be studied to develop new fungal elicitors with applications in sustainable agriculture. This study focus on cerato-platanin (CP), core member of the family and on the orthologous cerato-populin (Pop1). The latter shows an identity of 62% and an overall homology of 73% with respect to CP. Both proteins are able to induce MAPKs phosphorylation, production of reactive oxygen species and nitric oxide, overexpression of defense’s related genes, programmed cell death and synthesis of phytoalexins. CP, however, when compared to Pop1, induces a faster response and, in some cases, a stronger activity on plane leaves. Aim of the present research is to verify if the dissimilarities observed in the defense elicitation activity of these proteins can be associated to their structural and dynamic features. Taking advantage of the available CP NMR structure, Pop1’s 3D one was obtained by homology modeling. Experimental residual dipolar couplings and 1H, 15N, 13C resonance assignments were used to validate the model. Previous works on CPF members, addressed the highly conserved random coil regions (loops b1-b2 and b2-b3) as sufficient and necessary to induce necrosis in plants’ leaves: that region was investigated in both Pop1 and CP. In the two proteins the loops differ, in their primary sequence, for few mutations and an insertion with a consequent diversification of the proteins’ electrostatic surface. A set of 2D and 3D NMR experiments was performed to characterize both the spatial arrangement and the dynamic features of the loops. NOE data revealed a more extended network of interactions between the loops in Pop1 than in CP. In addition, in Pop1 we identified a salt bridge Lys25/Asp52 and a strong hydrophobic interaction between Phe26/Trp53. These structural features were expected not only to affect the loops’ spatial arrangement, but also to reduce the degree of their conformational freedom. Relaxation data and the order parameter S2 indeed highlighted reduced flexibility, in particular for loop b1-b2 of Pop1. In vitro NMR experiments, where Pop1 and CP were titrated with oligosaccharides, supported the hypothesis that the loops structural and dynamic differences may be responsible for the different chitin-binding properties of the two proteins: CP selectively binds tetramers of chitin in a shallow groove on one side of the barrel defined by loops b1-b2, b2-b3 and b4-b5, Pop1, instead, interacts in a non-specific fashion with oligosaccharides. Because the region involved in chitin-binding is also responsible for the defense elicitation activity, possibly being recognized by plant's receptors, it is reasonable to expect that those structural and dynamic modifications may also justify the different extent of defense elicitation. To test that hypothesis, the initial steps of a protocol aimed to the identify a receptor for CP, in silico, are presented.
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The number of distressed manufacturing firms increased sharply during recessionary phase 2009-13. Financial indebtness traditionally plays a key role in assessing firm solvency but contagion effects that originate from the supply chain are usually neglected in literature. Firm interconnections, captured via the trade credit channel, represent a primary vehicle of individual shocks’ propagation, especially during an economic downturn, when liquidity tensions arise. A representative sample of 11,920 Italian manufacturing firms is considered to model a two-step econometric design, where chain reactions in terms of trade credit accumulation (i.e. default of payments to suppliers) are primarily analyzed by resorting to a spatial autoregressive approach (SAR). Spatial interactions are modeled based on a unique dataset of firm-to-firm transactions registered before the outbreak of the crisis. The second step in instead a binary outcome model where trade credit chains are considered together with data on the bank-firm relationship to assess determinants of distress likelihoods in 2009-13. Results show that outstanding trade debt is affected by the liquidity position of a firm and by positive spatial effects. Trade credit chain reactions are found to exert, in turn, a positive impact on distress likelihoods during the crisis. The latter effect is comparable in magnitude to the one exerted by individual financial rigidity, and stresses the importance to include complex interactions between firms in the analysis of the solvency behavior.
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Multibeam bathymetric data collected in the Puerto Rico Trench and northeastern Caribbean region are compiled into a seamless bathymetric terrain model for broad-scale geological investigations of the trench system. These data, collected during eight separate surveys between 2002 and 2013 and covering almost 180,000 square kilometers, are published here in large-format map sheet and digital spatial data. This report describes the common multibeam data collection and processing methods used to produce the bathymetric terrain model and corresponding data-source polygon. Details documenting the complete provenance of the data are provided in the metadata in the Data Catalog section.
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Understanding spatial distributions and how environmental conditions influence catch-per-unit-effort (CPUE) is important for increased fishing efficiency and sustainable fisheries management. This study investigated the relationship between CPUE, spatial factors, temperature, and depth using generalized additive models. Combinations of factors, and not one single factor, were frequently included in the best model. Parameters which best described CPUE varied by geographic region. The amount of variance, or deviance, explained by the best models ranged from a low of 29% (halibut, Charlotte region) to a high of 94% (sablefish, Charlotte region). Depth, latitude, and longitude influenced most species in several regions. On the broad geographic scale, depth was associated with CPUE for every species, except dogfish. Latitude and longitude influenced most species, except halibut (Areas 4 A/D), sablefish, and cod. Temperature was important for describing distributions of halibut in Alaska, arrowtooth flounder in British Columbia, dogfish, Alaska skate, and Aleutian skate. The species-habitat relationships revealed in this study can be used to create improved fishing and management strategies.
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Conceptual frameworks of dryland degradation commonly include ecohydrological feedbacks between landscape spatial organization and resource loss, so that decreasing cover and size of vegetation patches result in higher water and soil losses, which lead to further vegetation loss. However, the impacts of these feedbacks on dryland dynamics in response to external stress have barely been tested. Using a spatially-explicit model, we represented feedbacks between vegetation pattern and landscape resource loss by establishing a negative dependence of plant establishment on the connectivity of runoff-source areas (e.g., bare soils). We assessed the impact of various feedback strengths on the response of dryland ecosystems to changing external conditions. In general, for a given external pressure, these connectivity-mediated feedbacks decrease vegetation cover at equilibrium, which indicates a decrease in ecosystem resistance. Along a gradient of gradual increase of environmental pressure (e.g., aridity), the connectivity-mediated feedbacks decrease the amount of pressure required to cause a critical shift to a degraded state (ecosystem resilience). If environmental conditions improve, these feedbacks increase the pressure release needed to achieve the ecosystem recovery (restoration potential). The impact of these feedbacks on dryland response to external stress is markedly non-linear, which relies on the non-linear negative relationship between bare-soil connectivity and vegetation cover. Modelling studies on dryland vegetation dynamics not accounting for the connectivity-mediated feedbacks studied here may overestimate the resistance, resilience and restoration potential of drylands in response to environmental and human pressures. Our results also suggest that changes in vegetation pattern and associated hydrological connectivity may be more informative early-warning indicators of dryland degradation than changes in vegetation cover.
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Most of the analytical models devoted to determine the acoustic properties of a rigid perforated panel consider the acoustic impedance of a single hole and then use the porosity to determine the impedance for the whole panel. However, in the case of not homogeneous hole distribution or more complex configurations this approach is no longer valid. This work explores some of these limitations and proposes a finite element methodology that implements the linearized Navier Stokes equations in the frequency domain to analyse the acoustic performance under normal incidence of perforated panel absorbers. Some preliminary results for a homogenous perforated panel show that the sound absorption coefficient derived from the Maa analytical model does not match those from the simulations. These differences are mainly attributed to the finite geometry effect and to the spatial distribution of the perforations for the numerical case. In order to confirm these statements, the acoustic field in the vicinities of the perforations is analysed for a more complex configuration of perforated panel. Additionally, experimental studies are carried out in an impedance tube for the same configuration and then compared to previous methods. The proposed methodology is shown to be in better agreement with the laboratorial measurements than the analytical approach.
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Purpose: The P23H rhodopsin mutation is an autosomal dominant cause of retinitis pigmentosa (RP). The degeneration can be tracked using different anatomical and functional methods. In our case, we evaluated the anatomical changes using Spectral-Domain Optical Coherence Tomography (SD-OCT) and correlated the findings with retinal thickness values determined by immunocytochemistry.Methods: Pigmented rats heterozygous for the P23H mutation, with ages between P18 and P180 were studied. Function was assessed by means of optomotor testing and ERGs. Retinal thicknesses measurements, autofluorescence and fluorescein angiography were performed using Spectralis OCT. Retinas were studied by means of immunohistochemistry. Results: Between P30 and P180, visual acuity decreased from 0.500 to 0.182 cycles per degree (cyc/deg) and contrast sensitivity decreased from 54.56 to 2.98 for a spatial frequency of 0.089 cyc/deg. Only cone-driven b-wave responses reached developmental maturity. Flicker fusions were also comparable at P29 (42 Hz). Double flash-isolated rod-driven responses were already affected at P29. Photopic responses revealed deterioration after P29.A reduction in retinal thicknesses and morphological modifications were seen in OCT sections. Statistically significant differences were found in all evaluated thicknesses. Autofluorescence was seen in P23H rats as sparse dots. Immunocytochemistry showed a progressive decrease in the outer nuclear layer (ONL), and morphological changes. Although anatomical thickness measures were significantly lower than OCT values, there was a very strong correlation between the values measured by both techniques.Conclusions: In pigmented P23H rats, a progressive deterioration occurs in both retinal function and anatomy. Anatomical changes can be effectively evaluated using SD-OCT and immunocytochemistry, with a good correlation between their values, thus making SD-OCT an important tool for research in retinal degeneration.
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Cerebral malaria (CM) is associated with high mortality and morbidity as a certain percentage of survivors suffers from persistent neurological sequelae. The mechanisms leading to death and functional impairments are yet not fully understood. This study investigated biochemical and morphological markers of apoptosis in the brains of mice infected with Plasmodium berghei ANKA. Cleaved caspase-3 was detected in the brains of animals with clinical signs of CM and immunoreactivity directly correlated with the clinical severity of the disease. Caudal parts of the brain showed more intense immunoreactivity for cleaved caspase-3. Double-labelling experiments revealed processing of caspase-3 primarily in neurons and oligodendrocytes. These cells also exhibited apoptotic-like morphological profiles in ultrastructural analysis. Further, cleavage of caspase-3 was found in endothelial cells. In contrast to neurons and oligodendrocytes, apoptosis of endothelial cells already occurred in early stages of the disease. Our results are the first to demonstrate processing of caspase-3 in different central nervous system cells of animals with CM. Apoptosis of endothelial cells may represent a critical issue for the development of the disease in the mouse model. Neurological signs and symptoms might be attributable, at least in part, to apoptotic degeneration of neurons and glia in advanced stages of murine CM.
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The spatial data set delineates areas with similar environmental properties regarding soil, terrain morphology, climate and affiliation to the same administrative unit (NUTS3 or comparable units in size) at a minimum pixel size of 1km2. The scope of developing this data set is to provide a link between spatial environmental information (e.g. soil properties) and statistical data (e.g. crop distribution) available at administrative level. Impact assessment of agricultural management on emissions of pollutants or radiative active gases, or analysis regarding the influence of agricultural management on the supply of ecosystem services, require the proper spatial coincidence of the driving factors. The HSU data set provides e.g. the link between the agro-economic model CAPRI and biophysical assessment of environmental impacts (updating previously spatial units, Leip et al. 2008), for the analysis of policy scenarios. Recently, a statistical model to disaggregate crop information available from regional statistics to the HSU has been developed (Lamboni et al. 2016). The HSU data set consists of the spatial layers provided in vector and raster format as well as attribute tables with information on the properties of the HSU. All input data for the delineation the HSU is publicly available. For some parameters the attribute tables provide the link between the HSU data set and e.g. the soil map(s) rather than the data itself. The HSU data set is closely linked the USCIE data set.
Resumo:
Here, the pelagic carbonate system and the ?13C signature of dissolved inorganic carbonate (DIC) were investigated in a tidal basin of the southern North Sea, the Jade Bay, with respect to tidal cycles and a transect towards the North Sea in winter time (January and November, 2010). Physical parameters, major and trace elements, and nutrient concentrations were considered, too. Primary production and pelagic organic matter respiration were negligible during winter time. Both, the compositional variations on the transects as well as during the tidal cycles indicate the mixing of North Sea with fresh water. The combined spatial co-variations of different parameters indicate an introduction of fresh water that was enriched in DI12C, metabolites (e.g., ammonia), protons, and dissolved redox-sensitive elements (e.g., Mn2+). During the January campaign, the discharge via the flood gates was limited due to ice cover of the hinterland drainage ditches, allowing for an observation of tidal variations without significant mixing contributions from surface water discharges. Considering a binary mixing model with North Sea and fresh water as end-members, the extrapolated fresh water end-member composition for this campaign is estimated to contain about 3.8 mmol/kg DIC , and enhanced concentrations of NH4+, Mn2+, and protons compared to North Sea water. The fast temporal response of dissolved geochemical tracers on tidal variations in the Jade Bay indicates a continuous supply of a fresh water component. The measured composition of fresh waters entering the Jade Bay via flood gates (end of October, 2010) did not match the values estimated by the binary mixing model. Therefore, the overall fresh water component likely is a mixture between sources originating from flood gates and (in January) dominating submarine groundwater discharge entering the Jade Bay. This model is consistent with the results obtained during the November campaign, when a more important contribution from flood gates is expected and a more variable fresh water end-member is estimated. The co-variations of the concentrations and the stable carbon isotope composition of DIC are applied to evaluate possible superimposed sink-source-transformation processes in the coastal waters and a general co-variation scheme is suggested.