MicroPreP: a cDNA microarray data pre-processing framework

The user-friendly MicroPreP framework was developed to transform raw intensity data from cDNA microarrays into high-quality data. The main features of this software are: LOWESS normalisation; merging of DNA microarray data from changing slide versions; outlier detection; and slide quality assessment.     

Enhancement of lindane-induced liver oxidative stress and hepatotoxicity by thyroid hormone is reduced by gadolinium chloride

The role of Kupffer cells in the hepatocellular injury and oxidative stress induced by lindane (20 mg/kg; 24h) in hyperthyroid rats (daily doses of 0.1 mg L-3,3',5-triiodothyronine (T3)/kg for three consecutive days) was assessed by the simultaneous administration of gadolinium chloride (GdCl3; 2 doses of 10mg/kg on alternate days). Hyperthyroid animals treated with lindane exhibit enhanced liver microsomal superoxide radical (O2.-) production and NADPH cytochrome c reductase activity, with lower levels of cytochrome P450, superoxide dismutase (SOD) and catalase activity, and glutathione (GSH) content over control values. These changes are paralleled by a substantial increase in the lipid peroxidation potential of the liver and in the O2.- generation/ SOD activity ratio, thus evidencing a higher oxidative stress status that correlates with the development of liver injury characterized by neutrophil infiltration and necrosis. Kupffer cell inactivation by GdCl3 suppresses liver injury in lindane/T3-treated rats with normalization of altered oxidative stress-related parameters, excepting the reduction in the content of GSH and in catalase activity. It is concluded that lindane hepatotoxicity in hyperthyroid state, that comprises an enhancement in the oxidative stress status of the liver, is largely dependent on Kupffer cell function, which may involve generation of mediators leading to pro-oxidant and inflammatory processes.     

HEAVY METAL–INDUCED OXIDATIVE STRESS IN ALGAE1

Heavy metals, depending on their oxidation states, can be highly reactive and, as a consequence, toxic to most organisms. They are produced by an expanding variety of anthropogenic sources suggesting an increasingly important role for this form of pollution. The toxic effect of heavy metals appears to be related to production of reactive oxygen species (ROS) and the resulting unbalanced cellular redox status. Algae respond to heavy metals by induction of several antioxidants, including diverse enzymes such as superoxide dismutase, catalase, glutathione peroxidase and ascorbate peroxidase, and the synthesis of low molecular weight compounds such as carotenoids and glutathione. At high, or acute, levels of metal pollutants, damage to algal cells occurs because ROS levels exceed the capacity of the cell to cope. At lower, or chronic, levels algae accumulate heavy metals and can pass them on to organisms of other trophic levels such as mollusks, crustaceans, and fishes. We review here the evidence linking metal accumulation, cellular toxicity, and the generation of ROS in aquatic environments.     

Diet of a muriqui group (<Emphasis Type="Italic">Brachyteles arachnoides</Emphasis>) in continuous primary forest

The feeding behaviour of a group of free-ranging muriquis (Brachyteles arachnoides) was monitored in the 380 km² Carlos Botelho State Park (PECB), between February 1992 and November 1993. Scan sample data indicated that 59.1% of feeding time was devoted to fruit, 33.2% to leaves, 4.1% to flowers, and 3.6% to other items (twigs, stem and bark). Little seasonal variation was recorded. These results contrast with those of all previous studies of Brachyteles, in which the consumption of leaves was generally double that of fruit. One key difference in comparison with previous studies is that the PECB is part of the largest remaining continuous area of primary Atlantic forest, in the Serra do Mar coastal range. Such intraspecific differences in ecology may have important implications for the conservation of the species.     

ent-Kauranoid derivatives from Sideritis moorei

Seven new ent-kauranoid derivatives ent-7alpha,18-dihydroxykaur-16-en-3-one, ent-18-acetoxy-3beta,7alpha-dihydroxykaur-15-en-17-al, ent-3beta-acetoxy-7alpha,18-dihydroxykaur-15-en-17-al, ent-18-acetoxy-3beta,7alpha,17-trihydroxykaur-15-ene, ent-3beta-acetoxy-7alpha,17,18-trihydroxykaur-15-ene, ent-18-acetoxy-3beta,7alpha,17-trihydroxy-15beta,16beta-epoxykaurane and ent-3beta-acetoxy-7alpha,17,18-trihydroxy-15beta,16beta-epoxykaurane have been isolated from Sideritis moorei. The structures of these compounds have been established by spectroscopic means and chemical correlations.     

Mechanistic aspects of biosynthesis of silver nanoparticles by several <Emphasis Type="Italic">Fusarium oxysporum</Emphasis> strains

Extracellular production of metal nanoparticles by several strains of the fungus Fusarium oxysporum was carried out. It was found that aqueous silver ions when exposed to several Fusarium oxysporum strains are reduced in solution, thereby leading to the formation of silver hydrosol. The silver nanoparticles were in the range of 20–50 nm in dimensions. The reduction of the metal ions occurs by a nitrate-dependent reductase and a shuttle quinone extracellular process. The potentialities of this nanotechnological design based in fugal biosynthesis of nanoparticles for several technical applications are important, including their high potential as antibacterial material.     

Dm3 is one member of a large constitutively expressed family of nucleotide binding site-leucine-rich repeat encoding genes

The major cluster of resistance genes in lettuce cv. Diana contains approximately 32 nucleotide binding site-leucine-rich repeat encoding genes. Previous molecular dissection of this complex region had identified a large gene, RGC2B, as a candidate for encoding the downy mildew resistance gene, Dm3. This article describes genetic and transgenic complementation data that demonstrated RGC2B is necessary and sufficient to confer resistance with Dm3 specificity. Ethylmethanesulphonate was used to induce mutations to downy mildew susceptibility in cv. Diana (Dm1, Dm3, Dm7, and Dm8). Nineteen families were identified with a complete loss of resistance in one of the four resistance specificities. Sequencing revealed a variety of point mutations in RGC2B in the six dm3 mutants. Losses of resistance were due to single changes in amino acid sequence or a change in an intron splice site. These mutations did not cluster in any particular region of RGC2B. A full-length genomic copy of RGC2B was isolated from a lambdaphage library and introduced into two genotypes of lettuce. Transgenics expressing RGC2B exhibited resistance to all isolates expressing Avr3 from a wide range of geographical origins. In a wildtype Dm3-expressing genotype, many of the RGC2 family members are expressed at low levels throughout the plant.     

Experimental transmission of Enteromyxum scophthalmi (Myxozoa), an enteric parasite of turbot Scophthalmus maximus

Several experiments were designed to elucidate the modes of transmission of the myxozoan parasite Enteromyxum scophthalmi to turbot Scophthalmus maximus. Direct transmission of the infections was achieved by cohabitation of infected and test fish, through waterborne contamination from the effluent of a tank containing infected fish, and via the oral route using parasite-infected intestines. The transmission of the turbot enteromyxosis was successful in all the fish exposed to the parasite by the 3 routes; accumulated mortality reached 100% at the end of most experiments. The progress of the infections was monitored by study of the histopathology. Influence of the mode of exposure was observed, with the oral route the fastest to initiate the parasite infections. The temperature also affected the course of the infections, which were established earlier at higher water temperature. Direct fish-to-fish transmission of the disease explains the rapid spreading of the turbot enteromyxosis in farms.     

Epigrass: a tool to study disease spread in complex networks

Background  

The construction of complex spatial simulation models such as those used in network epidemiology, is a daunting task due to the large amount of data involved in their parameterization. Such data, which frequently resides on large geo-referenced databases, has to be processed and assigned to the various components of the model. All this just to construct the model, then it still has to be simulated and analyzed under different epidemiological scenarios. This workflow can only be achieved efficiently by computational tools that can automate most, if not all, these time-consuming tasks. In this paper, we present a simulation software, Epigrass, aimed to help designing and simulating network-epidemic models with any kind of node behavior.