144 research outputs found
The ups and downs of cellular stress: the âMAM hypothesisâ for Bipolar Disorder pathophysiology
info:eu-repo/semantics/publishedVersio
AlteraçÔes de comportamento na encefalite herpĂ©tica: um caso polimĂłrfico e de difĂcil manejo
PREVALENCE OF AMERICAN TRYPANOSOMIASIS AND LEISHMANIASES IN DOMESTIC DOGS IN A RURAL AREA OF THE MUNICIPALITY OF SĂO JOĂO DO PIAUĂ, PIAUĂ STATE, BRAZIL
Implementação da presença de acompanhantes durante a internação para o parto: dados da pesquisa nacional Nascer no Brasil
Construction of gene regulatory networks using biclustering and bayesian networks
<p>Abstract</p> <p>Background</p> <p>Understanding gene interactions in complex living systems can be seen as the ultimate goal of the systems biology revolution. Hence, to elucidate disease ontology fully and to reduce the cost of drug development, gene regulatory networks (GRNs) have to be constructed. During the last decade, many GRN inference algorithms based on genome-wide data have been developed to unravel the complexity of gene regulation. Time series transcriptomic data measured by genome-wide DNA microarrays are traditionally used for GRN modelling. One of the major problems with microarrays is that a dataset consists of relatively few time points with respect to the large number of genes. Dimensionality is one of the interesting problems in GRN modelling.</p> <p>Results</p> <p>In this paper, we develop a biclustering function enrichment analysis toolbox (BicAT-plus) to study the effect of biclustering in reducing data dimensions. The network generated from our system was validated via available interaction databases and was compared with previous methods. The results revealed the performance of our proposed method.</p> <p>Conclusions</p> <p>Because of the sparse nature of GRNs, the results of biclustering techniques differ significantly from those of previous methods.</p
Simultaneous quantification of artesunate and mefloquine in fixed-dose combination tablets by multivariate calibration with middle infrared spectroscopy and partial least squares regression
A novel case of human visceral leishmaniasis from the urban area of the city of Rio de Janeiro: autochthonous or imported from Spain ?
Leishmania amazonensis Arginase Compartmentalization in the Glycosome Is Important for Parasite Infectivity
In Leishmania, de novo polyamine synthesis is initiated by the cleavage of L-arginine to urea and L-ornithine by the action of arginase (ARG, E.C. 3.5.3.1). Previous studies in L. major and L. mexicana showed that ARG is essential for in vitro growth in the absence of polyamines and needed for full infectivity in animal infections. The ARG protein is normally found within the parasite glycosome, and here we examined whether this localization is required for survival and infectivity. First, the localization of L. amazonensis ARG in the glycosome was confirmed in both the promastigote and amastigote stages. As in other species, argâ L. amazonensis required putrescine for growth and presented an attenuated infectivity. Restoration of a wild type ARG to the argâ mutant restored ARG expression, growth and infectivity. In contrast, restoration of a cytosol-targeted ARG lacking the glycosomal SKL targeting sequence (argÎSKL) restored growth but failed to restore infectivity. Further study showed that the ARGÎSKL protein was found in the cytosol as expected, but at very low levels. Our results indicate that the proper compartmentalization of L. amazonensis arginase in the glycosome is important for enzyme activity and optimal infectivity. Our conjecture is that parasite arginase participates in a complex equilibrium that defines the fate of L-arginine and that its proper subcellular location may be essential for this physiological orchestration
Cervical computed tomography in patients with obstructive sleep apnea: influence of head elevation on the assessment of upper airway volume
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