Probing Interchain Interactions In Emissive Blends Of Poly[2-methoxy-5- (2′-ethylhexyloxy)-p-phenylenevinylene] With Polystyrene And Poly(styrene-co-2-ethylhexyl Acrylate) By Fluorescence Spectroscopy

We present dynamic and static photoluminescence studies on polymer blends of conjugated poly[2-methoxy-5-(2′-ethylhexyloxy)-p-phenylenevinylene] (MEH-PPV) with polystyrene-co-1-pyrenyl methyl methacrylate and its copolymer poly(styrene-co-2-ethylhexyl acrylate-co-1-pyrenylmethyl methacrylate) (with 9 mol% and 19 mol% of 2-ethylhexyl acrylate units and 0.06 mol% of 1-pyrenyl). Pyrenyl-labeled polystyrene and its copolymers were synthesized by emulsion polymerization and characterized by 13C and 1H-NMR, FTIR, GPC, DSC, and UV-Vis. Spin-coating films of the blends were prepared from chloroform solutions with 0.1, 0.5, 1.0, and 5.0 wt% of MEH-PPV. The miscibility of these systems was studied by non-radiative energy transfer processes between the 1-pyrenyl moieties (the energy donor) and MEH-PPV (the energy acceptor). 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mBISON: Finding miRNA target over-representation in gene lists from ChIP-sequencing data

BACKGROUND: Over-representation of predicted miRNA targets in sets of genes regulated by a given transcription factor (e.g. as defined by ChIP-sequencing experiments) helps to identify biologically relevant miRNA targets and is useful to get insight into post-transcriptional regulation. FINDINGS: To facilitate the application of this approach we have created the mBISON web-application. mBISON calculates the significance of over-representation of miRNA targets in a given non-ranked gene set. The gene set can be specified either by a list of genes or by one or more ChIP-seq datasets followed by a user-defined peak-gene association procedure. mBISON is based on predictions from TargetScan and uses a randomization step to calculate False-Discovery-Rates for each miRNA, including a correction for gene set specific properties such as 3'UTR length. The tool can be accessed from the following web-resource: http://cbdm.mdc-berlin.de/~mgebhardt/cgi-bin/mbison/home . CONCLUSION: mBISON is a web-application that helps to extract functional information about miRNAs from gene lists, which is in contrast to comparable applications easy to use by everyone and can be applied on ChIP-seq data directly

Similarity in targets with REST points to neural and glioblastoma related miRNAs

There are groups of genes that need coordinated repression in multiple contexts, for example if they code for proteins that work together in a pathway or in a protein complex. Redundancy of biological regulatory networks implies that such coordinated repression might occur at both the pre- and post-transcriptional level, though not necessarily simultaneously or under the same conditions. Here, we propose that such redundancy in the global regulatory network can be detected by the overlap between the putative targets of a transcriptional repressor, as identified by a ChIP-seq experiment, and predicted targets of a microRNA (miRNA). To test this hypothesis, we used publicly available ChIP-seq data of the neural transcriptional repressor RE1 silencing transcription factor (REST) from 15 different cell samples. We found 20 miRNAs, each of which shares a significant amount of predicted targets with REST. The set of predicted associations between these 20 miRNAs and the overlapping REST targets is enriched in known miRNA targets. Many of the detected miRNAs have functions related to neural identity and glioblastoma, which could be expected from their overlap in targets with REST. We propose that the integration of experimentally determined transcription factor binding sites with miRNA-target predictions provides functional information on miRNAs

Lymphocyte population in the granulomatous lesions of wild-boars (Sus scrofa) suspected of tuberculosis

Só está disponível o resumoLymphocyte population in the granulomatous lesions of wild-boars (Sus scrofa) suspected of tuberculosis

Caracterização da condição física e fatores de risco cardiovascular de policiais militares rodoviários

ResumoObjetivoO objetivo do presente estudo foi verificar os níveis de condição, composição corporal e pressão arterial de policiais rodoviários do estado do Paraná - Brasil.MétodoFizeram parte da amostra 52 oficiais do sexo masculino (idade: 38,3±6,3 anos, massa corporal: 89,6±18,4kg) de diferentes patentes. Foram realizadas diversas mensurações para obtenção do índice de massa corporal (IMC), circunferência de cintura (CC), relação cintura/quadril (RCQ), composição corporal por meio da espessura de dobras cutâneas, potência aeróbia estimada indiretamente em teste de esforço ergométrico, resistência muscular localizada (RML) de membros superiores e abdominal e os níveis pressóricos foram aferidos por método auscultatório.ResultadosConsiderando as variáveis analisadas, os policiais rodoviários apresentaram IMC de 28,6±4,8kg/m2, risco cardiovascular elevado (95,4±10,8cm) para CC e alto (0,92±0,05) para RCQ. O percentual de gordura corporal apresentou-se acima dos valores recomendáveis (23,6±4,3 %) para saúde, a potência aeróbia estimada foi considerada boa (34,8±1,1ml/kg/min), a RML de membros superiores (21±8 repetições) e foi obtida por realização dos testes de abdominal e flexão de braço, respectivamente (28±8 repetições) foram classificadas como média e uma parcela importante dos oficiais (23 %) mostraram-se com níveis pressóricos elevados.ConclusãoOs policiais militares rodoviários mostraram-se com níveis inadequados de condição física, apresentando excesso de peso e adiposidade corporais, e, uma parcela importante, exibiu níveis pressóricos elevados, sugerindo elevado risco cardiovascular.AbstractObjectiveThe aim of this study was to assess the physical fitness, body composition and blood pressure of highway police officers in the state of Paraná, Brazil.MethodThe sample consisted of 52 male (38.3±6.3 years old, 89.6±18.4kg) where the following determinations were performed: body mass index (BMI); waist circumference (WC); waist/hip ratio (WHR); body composition (skinfold thickness); aerobic power (indirectly estimated in a treadmill test); muscle strength of the upper limbs was measured by the number of push-ups and abdominal strength by the number of crunches (ES) and blood pressure (measured by auscultatory method).ResultsThe highway police officers had a BMI classified as mild obesity (28.6±4.8kg/m2), and a higher cardiovascular risk as determined by WC (95.4±10.8cm) and WHR (0.92±0.05). The percentage of body fat was above the recommended values (23.6±4.3 %) but the aerobic power was considered good (34.8±1.1ml/kg/min). Mean ES upper body (21±8 repetitions) and abdomen (28±8 repetitions) were qualified as fair but mean blood pressure was considered high in 23 % of the police officers.ConclusionBased on our results it was possible to conclude that although the police officers presented good levels of aerobic power and muscle strength, they are overweight and showed a higher cardiovascular risk

Tannic acid is not mutagenic in germ cells but weakly genotoxic in somatic cells of Drosophila melanogaster

Tannic acid (TA) was tested for genotoxic activity in three different assays (1-3) in Drosophila melanogaster by feeding of larvae or adult flies. TA did not induce sex-linked recessive lethals (1) nor sex-chromosome loss, mosaicism or non-disjunction (2) in male germ cells. In the wing somatic mutation and recombination test (SMART) (3) TA was found to be toxic for larvae of the high bioactivation cross and produced a weak positive response. These results suggest that this compound, when administered orally to larvae or adults of D.melanogaster, is not mutagenic and clastogenic in male germ cells, but weakly genotoxic in somatic cells of the wing imaginal dis

Clustering Of Complex Shaped Data Sets Via Kohonen Maps And Mathematical Morphology

Clustering is the process of discovering groups within the data, based on similarities, with a minimal, if any, knowledge of their structure. The self-organizing (or Kohonen) map (SOM) is one of the best known neural network algorithms. It has been widely studied as a software tool for visualization of high-dimensional data. Important features include information compression while preserving topological and metric relationship of the primary data items. Although Kohonen maps had been applied for clustering data, usually the researcher sets the number of neurons equal to the expected number of clusters, or manually segments a two-dimensional map using some a priori knowledge of the data. This paper proposes techniques for automatic partitioning and labeling SOM networks in clusters of neurons that may be used to represent the data clusters. Mathematical morphology operations, such as watershed, are performed on the U-matrix, which is a neuron-distance image. The direct application of watershed leads to an oversegmented image. It is used markers to identify significant clusters and homotopy modification to suppress the others. Markers are automatically found by performing a multi-level scan of connected regions of the U-matrix. Each cluster of neurons is a sub-graph that defines, in the input space, complex and nonparametric geometries which approximately describes the shape of the clusters. The process of map partitioning is extended recursively. Each cluster of neurons gives rise to a new map, which are trained with the subset of data that were classified to it. The algorithm produces dynamically a hierarchical tree of maps, which explains the cluster's structure in levels of granularity. The distributed and multiple prototypes cluster representation enables the discoveries of clusters even in the case when we have two or more non-separable pattern classes.43841627Vinod, V.V., Chaudhury, S., Mukherjee, J., Ghose, S., A connectionist approach for clustering with applications in image analysis (1994) IEEE Trans. Systems, Man & Cybernetics, 24 (3), pp. 356-384Costa, J.A.F., (1999) Automatic classification and data analysis by self-organizing neural networks, , Ph.D. Thesis. State University of Campinas, SP, BrazilEveritt, B.S., (1993) Cluster Analysis, , Wiley: New YorkKaufman, L., Rousseeuw, P., (1990) Finding Groups in Data: An Introduction to Cluster Analysis, , Wiley: New YorkSu, M.-C., Declaris, N., Liu, T.-K., Application of neural networks in cluster analysis (1997) Proc. of the 1997 IEEE Intl. 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Cell Nuclei Segmentation In Noisy Images Using Morphological Watersheds

A major problem in image processing and analysis is the segmentation of its components. Many computer vision tasks process image regions after segmentation, and the minimization of errors is then crucial for a good automatic inspection system. This paper presents an applied work on automatic segmentation of cell nuclei in digital noisy images. One of the major problems when using morphological watersheds is oversegmentation. By using an efficient homotopy image modification module, we prevent oversegmentation. This module utilizes diverse operations, such as sequential filters, distance transforms, opening by reconstruction, top hat, etc., some in parallel, some in cascade form, leading to a new set of internal and external cell nuclei markers. Very good results have been obtained and the proposed technique should facilitate better analysis of visual perception of cell nuclei for human and computer vision. All steps are presented, as well as the associated images. 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