956 resultados para Spatial Point Pattern analysis
Resumo:
In 99,7% aller Zervixkarzinome kann die DNA humaner Papillomviren (HPV) nachgewiesen werden, die somit den Hauptauslöser für eine der häufigsten Krebserkrankungen bei Frauen weltweit darstellen. HPV16 ist verantwortlich für etwa 50% aller Zervixkarzinome. Für die Infektion von Zellen mit HPV16 ist die Interaktion mit Heparansulfatproteoglykanen der Zelloberfläche essentiell. Um Aminosäuren auf der Oberfläche des majoren Kapsidproteins L1 von HPV16 zu identifizieren, die zu dieser Interaktion beitragen, wurden im Rahmen dieser Arbeit zahlreiche Punktmutanten hergestellt und analysiert. Der Austausch der drei Lysine K278, K356 und K361 zu Alaninen führte zu signifikant verminderter Zell-, Heparin- und Heparansulfatbindung, die noch weiter reduziert wurde, wenn zwei oder drei der Lysine gleichzeitig mutiert waren. Auch die Infektiosität der mutanten Pseudovirionen war stark beeinträchtigt, die Trippelmutante zeigte nur noch 5% Infektiosität. Diese Ergebnisse demonstrieren, dass die drei Lysine gemeinsam die Bindestelle für Heparansulfate bilden. Ihr Austausch zu Argininen beeinflusste die Infektiosität der Partikel hingegen nicht, was bestätigt, dass die Interaktion mit Heparansulfaten von der positiven Ladungsdichte abhängt und nicht sequenzspezifisch ist. Die drei Lysine befinden sich auf der Spitze des HPV16-Kapsomers in einer flachen Tasche, die aufgrund ihrer Struktur bereits früher als potentielle Rezeptorbindestelle vorgeschlagen wurde. Fab-Fragmente des bindungsneutralisierenden Antikörpers H16.56E, dessen Epitop in direkter Nachbarschaft der Lysine liegt, inhibierten die heparansulfatvermittelte Zellbindung viraler Partikel. Auch Epitope anderer bindungsneutralisierender Antikörper befinden sich in der Nähe. Dies untermauert die Hypothese, dass die Lysine K278, K356 und K361 die Heparansulfatbindestelle von HPV16 bilden. Der Austausch von Threoninen, die genau zwischen den Lysinen liegen, hatte keine Auswirkung auf Bindung der Partikel und Infektiosität. Sie könnten jedoch durch die Bildung von Wasserstoffbrücken die Bindung an Heparansulfat stabilisieren. Die Bedeutung der Lysine K278, K356 und K361 bei der primären Interaktion von HPV16 mit Heparansulfaten konnte durch die Computersimulation der Interaktion der Virusoberfläche mit einem Heparinmolekül bestätigt werden. Des Weiteren konnten Anforderungen ermittelt werden, die eine solche Interaktion an das Heparinmolekül stellt. Weiterhin zeigten die Ergebnisse dieser Arbeit, dass basische Aminosäuren in der interkapsomeren Grube nicht an der primären Zellbindung an Heparansulfate beteiligt zu sein scheinen, aber eine Rolle bei sekundären Interaktionen mit der Zelloberfläche spielen könnten.
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In functional magnetic resonance imaging (fMRI) coherent oscillations of the blood oxygen level-dependent (BOLD) signal can be detected. These arise when brain regions respond to external stimuli or are activated by tasks. The same networks have been characterized during wakeful rest when functional connectivity of the human brain is organized in generic resting-state networks (RSN). Alterations of RSN emerge as neurobiological markers of pathological conditions such as altered mental state. In single-subject fMRI data the coherent components can be identified by blind source separation of the pre-processed BOLD data using spatial independent component analysis (ICA) and related approaches. The resulting maps may represent physiological RSNs or may be due to various artifacts. In this methodological study, we propose a conceptually simple and fully automatic time course based filtering procedure to detect obvious artifacts in the ICA output for resting-state fMRI. The filter is trained on six and tested on 29 healthy subjects, yielding mean filter accuracy, sensitivity and specificity of 0.80, 0.82, and 0.75 in out-of-sample tests. To estimate the impact of clearly artifactual single-subject components on group resting-state studies we analyze unfiltered and filtered output with a second level ICA procedure. Although the automated filter does not reach performance values of visual analysis by human raters, we propose that resting-state compatible analysis of ICA time courses could be very useful to complement the existing map or task/event oriented artifact classification algorithms.
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Attempts to strengthen a chromium-modified titanium trialuminide by a combination of grain size refinement and dispersoid strengthening led to a new means to synthesize such materials. This Reactive Mechanical Alloying/Milling process uses in situ reactions between the metallic powders and elements from a process control agent and/or a gaseous environment to assemble a dispersed small hard particle phase within the matrix by a bottom-up approach. In the current research milled powders of the trialuminide alloy along with titanium carbide were produced. The amount of the carbide can be varied widely with simple processing changes and in this case the milling process created trialuminide grain sizes and carbide particles that are the smallest known from such a process. Characterization of these materials required the development of x-ray diffraction means to determine particle sizes by deconvoluting and synthesizing components of the complex multiphase diffraction patterns and to carry out whole pattern analysis to analyze the diffuse scattering that developed from larger than usual highly defective grain boundary regions. These identified regions provide an important mass transport capability in the processing and not only facilitate the alloy development, but add to the understanding of the mechanical alloying process. Consolidation of the milled powder that consisted of small crystallites of the alloy and dispersed carbide particles two nanometers in size formed a unique, somewhat coarsened, microstructure producing an ultra-high strength solid material composed of the chromium-modified titanium trialuminide alloy matrix with small platelets of the complex carbides Ti2AlC and Ti3AlC2. This synthesis process provides the unique ability to nano-engineer a wide variety of composite materials, or special alloys, and has shown the ability to be extended to a wide variety of metallic materials.
Resumo:
Olfactory glomeruli are the loci where the first odor-representation map emerges. The glomerular layer comprises exquisite local synaptic circuits for the processing of olfactory coding patterns immediately after their emergence. To understand how an odor map is transferred from afferent terminals to postsynaptic dendrites, it is essential to directly monitor the odor-evoked glomerular postsynaptic activity patterns. Here we report the use of a transgenic mouse expressing a Ca(2+)-sensitive green fluorescence protein (GCaMP2) under a Kv3.1 potassium-channel promoter. Immunostaining revealed that GCaMP2 was specifically expressed in mitral and tufted cells and a subpopulation of juxtaglomerular cells but not in olfactory nerve terminals. Both in vitro and in vivo imaging combined with glutamate receptor pharmacology confirmed that odor maps reported by GCaMP2 were of a postsynaptic origin. These mice thus provided an unprecedented opportunity to analyze the spatial activity pattern reflecting purely postsynaptic olfactory codes. The odor-evoked GCaMP2 signal had both focal and diffuse spatial components. The focalized hot spots corresponded to individually activated glomeruli. In GCaMP2-reported postsynaptic odor maps, different odorants activated distinct but overlapping sets of glomeruli. Increasing odor concentration increased both individual glomerular response amplitude and the total number of activated glomeruli. Furthermore, the GCaMP2 response displayed a fast time course that enabled us to analyze the temporal dynamics of odor maps over consecutive sniff cycles. In summary, with cell-specific targeting of a genetically encoded Ca(2+) indicator, we have successfully isolated and characterized an intermediate level of odor representation between olfactory nerve input and principal mitral/tufted cell output.
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The formation of skeletal muscle during vertebrate development involves the induction of mesoderm and subsequent generation of myoblasts that ultimately differentiate into mature muscles. The recent identification of a group of myogenic regulators that can convert fibroblasts to myoblasts has contributed to our understanding of the molecular events that underlie the establishment of the skeletal muscle phenotype. Members of this group of myogenic regulators share a helix-loop-helix (HLH) motif that mediates DNA binding. The myogenic HLH proteins bind to the consensus sequence CANNTG, referred to as an E-box, and activate muscle-specific transcription. In addition to E-boxes, other motifs, such as the MEF-2 binding site, have been shown to mediate muscle-specific transcription. The myogenic HLH proteins are expressed in the myogenic precursors in somites and limb buds, and in differentiated muscle fibers during embryogenesis, consistent with their roles as regulators for muscle development. The myogenic HLH proteins appear to auto-activate their own and cross-activate one another's expression in cultured cells. Myogenin is one of the myogenic HLH proteins and likely the regulator for terminal muscle differentiation. Myogenin is a common target of diverse regulatory pathways. To search for upstream regulators of myogenin, we studied regulation of myogenin transcription during mouse embryogenesis. We showed that the myogenin promoter contains a binding site for MEF-2, which can mediate indirectly the autoregulation of myogenin transcription. We found that a transgene under the control of a 1.5 kb 5$\sp\prime$ flanking sequence can recapitulate the temporal and spatial expression pattern of the endogenous myogenin gene during mouse embryogenesis. By tracing embryonic cells that activate myogenin-lacZ during embryogenesis, we found no evidence that lacZ was expressed in myogenic precursors migrating from somites to limb buds, suggesting the existence of regulators other than myogenic HLH proteins that can maintain cells in the myogenic lineage. Mutations of an E-box and a MEF-2 site in the myogenin promoter suppressed transcription in subsets of myogenic precursors in mouse embryos. These results suggest that myogenic HLH proteins and MEF-2 participate in separable regulatory pathways controlling myogenin transcription and provide evidence for positional regulation of myogenic regulators in the embryo. ^
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We provide a novel search technique which uses a hierarchical model and a mutual information gain heuristic to efficiently prune the search space when localizing faces in images. We show exponential gains in computation over traditional sliding window approaches, while keeping similar performance levels.
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Vibrations, electromagnetic oscillations, and temperature drifts are among the main reasons for dephasing in matter-wave interferometry. Sophisticated interferometry experiments, e.g., with ions or heavy molecules, often require integration times of several minutes due to the low source intensity or the high velocity selection. Here we present a scheme to suppress the influence of such dephasing mechanisms—especially in the low-frequency regime—by analyzing temporal and spatial particle correlations available in modern detectors. Such correlations can reveal interference properties that would otherwise be washed out due to dephasing by external oscillating signals. The method is shown experimentally in a biprism electron interferometer where a perturbing oscillation is artificially introduced by a periodically varying magnetic field. We provide a full theoretical description of the particle correlations where the perturbing frequency and amplitude can be revealed from the disturbed interferogram. The original spatial fringe pattern without the perturbation can thereby be restored. The technique can be applied to lower the general noise requirements in matter-wave interferometers. It allows for the optimization of electromagnetic shielding and decreases the efforts for vibrational or temperature stabilization.
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This paper analyses local geographical contexts targeted by transnational large-scale land acquisitions (>200 ha per deal) in order to understand how emerging patterns of socio-ecological characteristics can be related to processes of large-scale foreign investment in land. Using a sample of 139 land deals georeferenced with high spatial accuracy, we first analyse their target contexts in terms of land cover, population density, accessibility, and indicators for agricultural potential. Three distinct patterns emerge from the analysis: densely populated and easily accessible croplands (35% of land deals); remote forestlands with lower population densities (34% of land deals); and moderately populated and moderately accessible shrub- or grasslands (26% of land deals). These patterns are consistent with processes described in the relevant case study literature, and they each involve distinct types of stakeholders and associated competition over land. We then repeat the often-cited analysis that postulates a link between land investments and target countries with abundant so-called “idle” or “marginal” lands as measured by yield gap and available suitable but uncultivated land; our methods differ from the earlier approach, however, in that we examine local context (10-km radius) rather than countries as a whole. The results show that earlier findings are disputable in terms of concepts, methods, and contents. Further, we reflect on methodologies for exploring linkages between socioecological patterns and land investment processes. Improving and enhancing large datasets of georeferenced land deals is an important next step; at the same time, careful choice of the spatial scale of analysis is crucial for ensuring compatibility between the spatial accuracy of land deal locations and the resolution of available geospatial data layers. Finally, we argue that new approaches and methods must be developed to empirically link socio-ecological patterns in target contexts to key determinants of land investment processes. This would help to improve the validity and the reach of our findings as an input for evidence-informed policy debates.
Resumo:
Salmonella enterica subspecies 1 serovar Typhimurium (serovar Typhimurium) induces enterocolitis in humans and cattle. The mechanisms of enteric salmonellosis have been studied most extensively in calf infection models. The previous studies established that effector protein translocation into host cells via the Salmonella pathogenicity island 1 (SPI-1) type III secretion system (TTSS) is of central importance in serovar Typhimurium enterocolitis. We recently found that orally streptomycin-pretreated mice provide an alternative model for serovar Typhimurium colitis. In this model the SPI-1 TTSS also plays a key role in the elicitation of intestinal inflammation. However, whether intestinal inflammation in calves and intestinal inflammation in streptomycin-pretreated mice are induced by the same SPI-1 effector proteins is still unclear. Therefore, we analyzed the role of the SPI-1 effector proteins SopB/SigD, SopE, SopE2, and SipA/SspA in elicitation of intestinal inflammation in the murine model. We found that sipA, sopE, and, to a lesser degree, sopE2 contribute to murine colitis, but we could not assign an inflammation phenotype to sopB. These findings are in line with previous studies performed with orally infected calves. Extending these observations, we demonstrated that in addition to SipA, SopE and SopE2 can induce intestinal inflammation independent of each other and in the absence of SopB. In conclusion, our data corroborate the finding that streptomycin-pretreated mice provide a useful model for studying the molecular mechanisms of serovar Typhimurium colitis and are an important starting point for analysis of the molecular events triggered by SopE, SopE2, and SipA in vivo.
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Methods for tracking an object have generally fallen into two groups: tracking by detection and tracking through local optimization. The advantage of detection-based tracking is its ability to deal with target appearance and disappearance, but it does not naturally take advantage of target motion continuity during detection. The advantage of local optimization is efficiency and accuracy, but it requires additional algorithms to initialize tracking when the target is lost. To bridge these two approaches, we propose a framework for unified detection and tracking as a time-series Bayesian estimation problem. The basis of our approach is to treat both detection and tracking as a sequential entropy minimization problem, where the goal is to determine the parameters describing a target in each frame. To do this we integrate the Active Testing (AT) paradigm with Bayesian filtering, and this results in a framework capable of both detecting and tracking robustly in situations where the target object enters and leaves the field of view regularly. We demonstrate our approach on a retinal tool tracking problem and show through extensive experiments that our method provides an efficient and robust tracking solution.
Resumo:
The sustainable management of natural resources is a key issue for sustainable development of a poor, mountainous country such as Tajikistan. In order to strengthen its agricultural and infrastructural development efforts and alleviate poverty in rural areas, spatial information and analysis are of crucial importance to improve priority setting and decision making efficiency. However, poor access to geospatial data and tools, and limited capacity in their use has greatly constrained the ability of governmental institutions to effectively assess, plan, and monitor natural resources management. The Centre for Development and Environment (CDE) has thus been mandated by the World Bank Group to provide adequate technical support to the Community Agriculture and Watershed Management Project (CAWMP). This support consists of a spatial database on soil degradation trends in 4 watersheds, capacity development in and awareness creation about geographic information technology and a spatial data exchange hub for natural resources management in Tajikistan. CDE’s support has started in July 2007 and will last until December 2007 with a possible extension in 2008.