A neuroglobin-overexpressing transgenic mouse

Neuroglobin (Ngb) is a recently discovered vertebrate globin expressed primarily in neurons. Ngb expression is induced by hypoxia and ischemia, and Ngb protects neurons from these insults. However, its normal physiological role and the mechanism underlying its neuroprotective action are uncertain. We report production of a transgenic mouse in which Ngb is overexpressed under the control of the chicken beta-actin promoter. This mouse should prove helpful for studying Ngb-mediated effects in vitro and in vivo.     

Fab fragments imprinted SPR biosensor for real-time human immunoglobulin G detection

F(ab) fragments imprinted surface plasmon resonance (SPR) chip was prepared for the real-time detection of human immunoglobulin G (IgG). In order to attach polymerization precursor on SPR chip, the SPR chip surface was modified with allyl mercaptan. F(ab) fragments of the IgG molecules were prepared by papain digestion procedure and collected by fast protein liquid chromatography (FPLC) system using Hi-Trap_r Protein A FF column. The collected F(ab) fragments were complexed with histidine containing specific monomer, N-methacryloyl-l-histidine methyl ester (MAH). Molecular imprinted polymeric nanofilm was prepared on SPR chip in the presence of ethylene glycol dimethacrylate and 2-hydroxyethylmethacrylate. The template molecules, F(ab) fragments, were removed from the polymeric nanofilm using 1M NaCl solution (pH: 7.4, phosphate buffer system). The molecular imprinted SPR chip was characterized by contact angle, atomic force microscopy and Fourier transform infrared spectroscopy. By the real-time IgG detection studies carried out using aqueous IgG solutions in different concentrations, the kinetics and isotherm parameters of the molecular imprinted SPR chip-IgG system were calculated. To show selectivity and specificity of the molecular imprinted SPR chip, competitive kinetic analyses were performed using bovine serum albumin (BSA), IgG, F(ab) and F(c) fragments in singular and competitive manner. As last step, IgG detection studies from human plasma were performed and the measured IgG concentrations were well matched with the results determined by enzyme-linked immunosorbent assay (ELISA). The results obtained with the molecular imprinted SPR chip were well fitted to Langmuir isotherm and the detection limit was found as 56 ng/mL. In the light of the results, we can conclude that the proposed molecular imprinted SPR chip can detect IgG molecules from both aqueous solutions and complex natural samples.     

Red fluorescent protein-aequorin fusions as improved bioluminescent Ca2+ reporters in single cells and mice

Bioluminescence recording of Ca(2+) signals with the photoprotein aequorin does not require radiative energy input and can be measured with a low background and good temporal resolution. Shifting aequorin emission to longer wavelengths occurs naturally in the jellyfish Aequorea victoria by bioluminescence resonance energy transfer (BRET) to the green fluorescent protein (GFP). This process has been reproduced in the molecular fusions GFP-aequorin and monomeric red fluorescent protein (mRFP)-aequorin, but the latter showed limited transfer efficiency. Fusions with strong red emission would facilitate the simultaneous imaging of Ca(2+) in various cell compartments. In addition, they would also serve to monitor Ca(2+) in living organisms since red light is able to cross animal tissues with less scattering. In this study, aequorin was fused to orange and various red fluorescent proteins to identify the best acceptor in red emission bands. Tandem-dimer Tomato-aequorin (tdTA) showed the highest BRET efficiency (largest energy transfer critical distance R(0)) and percentage of counts in the red band of all the fusions studied. In addition, red fluorophore maturation of tdTA within cells was faster than that of other fusions. Light output was sufficient to image ATP-induced Ca(2+) oscillations in single HeLa cells expressing tdTA. Ca(2+) rises caused by depolarization of mouse neuronal cells in primary culture were also recorded, and changes in fine neuronal projections were spatially resolved. Finally, it was also possible to visualize the Ca(2+) activity of HeLa cells injected subcutaneously into mice, and Ca(2+) signals after depositing recombinant tdTA in muscle or the peritoneal cavity. Here we report that tdTA is the brightest red bioluminescent Ca(2+) sensor reported to date and is, therefore, a promising probe to study Ca(2+) dynamics in whole organisms or tissues expressing the transgene.     

Mn3O4 nanoparticles: Synthesis,characterization and their antimicrobial and anticancer activity against A549 and MCF-7 cell lines

Due to their inexpensive and eco-friendly nature, and existence of manganese in various oxidation states and their natural abundance have attained significant attention for the formation of Mn₃O₄ nanoparticles (Mn₃O₄ NPs). Herein, we report the preparation of Mn₃O₄ nanoparticles using manganese nitrate as a precursor material by utilization of a precipitation technique. The as-prepared Mn₃O₄ nanoparticles (Mn₃O₄ NPs) were characterized by using X-ray powder diffraction (XRD), UV–Visible spectroscopy (UV–Vis), High-Resolution Transmission electron microscopy (HRTEM), Field emission scanning electron microscopy (FESEM), Thermal gravimetric analysis (TGA) and Fourier-transform infrared spectroscopy (FT-IR). The antimicrobial properties of the as-synthesized Mn₃O₄ nanoparticles were investigated against numerous bacterial and fungal strains including S. aureus, E. coli, B. subtilis, P. aeruginosa, A. flavus and C. albicans. The Mn₃O₄ NPs inhibited the growth of S. aureus with a minimum inhibitory concentration (MIC) of 40 μg/ml and C. albicans with a MIC of 15 μg/ml. Furthermore, the Mn₃O₄ NPs anti-cancer activity was examined using MTT essay against A549 lung and MCF-7 breast cancer cell lines. The Mn₃O₄ NPs revealed significant activity against the examined cancer cell lines A549 and MCF-7. The IC₅₀ values of Mn₃O₄ NPs with A549 cell line was found at concentration of 98 µg/mL and MCF-7 cell line was found at concentration of 25 µg/mL.     

Triticum durum metallothionein. Isolation of the gene and structural characterization of the protein using solution scattering and molecular modeling

A novel gene sequence, with two exons and one intron, encoding a metallothionein (MT) has been identified in durum wheat Triticum durum cv. Balcali85 genomic DNA. Multiple alignment analyses on the cDNA and the translated protein sequences showed that T. durum MT (dMT) can be classified as a type 1 MT. dMT has three Cys-X-Cys motifs in each of the N- and C-terminal domains and a 42-residue-long hinge region devoid of cysteines. dMT was overexpressed in Escherichia coli as a fusion protein (GSTdMT), and bacteria expressing the fusion protein showed increased tolerance to cadmium in the growth medium compared with controls. Purified GSTdMT was characterized by SDS- and native-PAGE, size exclusion chromatography, and matrix-assisted laser desorption ionization time-of-flight mass spectrometry. It was shown that the recombinant protein binds 4 +/- 1 mol of cadmium/mol of protein and has a high tendency to form stable oligomeric structures. The structure of GSTdMT and dMT was investigated by synchrotron x-ray solution scattering and computational methods. X-ray scattering measurements indicated a strong tendency for GSTdMT to form dimers and trimers in solution and yielded structural models that were compatible with a stable dimeric form in which dMT had an extended conformation. Results of homology modeling and ab initio solution scattering approaches produced an elongated dMT structure with a long central hinge region. The predicted model and those obtained from x-ray scattering are in agreement and suggest that dMT may be involved in functions other than metal detoxification.     

Physical training reverses the increased activity of the hepatic ketone body synthesis pathway in chronically diabetic rats

This study was designed to examine whether the training-induced improvement in the plasma concentration of ketone bodies in experimental diabetes mellitus could be explained by changes in the activity of the hepatic ketone body synthesis pathway and/or the plasma free fatty acid levels. Diabetes mellitus was induced by an intravenous injection of streptozotocin (50 mg/kg), and training was carried out on a treadmill. The plasma concentration of beta-hydroxybutyric acid was increased (P < 0.001) in sedentary diabetic rats, and this was partly reversed by training (P < 0.001). The plasma concentration of free fatty acids was increased (P < 0.001) in sedentary diabetic rats, and this was reversed to normal by training (P < 0.001). Diabetes was also associated with an increased activity of the hepatic ketone body synthesis pathway. When the data are expressed as per total liver, physical training decreased the activity of the hepatic ketone body synthesis pathway by 18% in nondiabetic rats (P < 0.05) and by 22% in diabetic rats (P < 0.01), the activity present in trained diabetic rats being not statistically different from that of sedentary control rats. These data suggest that the beneficial effects of physical training on the plasma beta-hydroxybutyric acid levels in the diabetic state are probably explained in part by a decrease in the activity of the hepatic ketone body synthesis pathway and in part by a decrease in plasma free fatty acid levels.     

A hybrid neural learning algorithm using evolutionary learning and derivative free local search method

In this paper we investigate a hybrid model based on the Discrete Gradient method and an evolutionary strategy for determining the weights in a feed forward artificial neural network. Also we discuss different variants for hybrid models using the Discrete Gradient method and an evolutionary strategy for determining the weights in a feed forward artificial neural network. The Discrete Gradient method has the advantage of being able to jump over many local minima and find very deep local minima. However, earlier research has shown that a good starting point for the discrete gradient method can improve the quality of the solution point. Evolutionary algorithms are best suited for global optimisation problems. Nevertheless they are cursed with longer training times and often unsuitable for real world application. For optimisation problems such as weight optimisation for ANNs in real world applications the dimensions are large and time complexity is critical. Hence the idea of a hybrid model can be a suitable option. In this paper we propose different fusion strategies for hybrid models combining the evolutionary strategy with the discrete gradient method to obtain an optimal solution much quicker. Three different fusion strategies are discussed: a linear hybrid model, an iterative hybrid model and a restricted local search hybrid model. Comparative results on a range of standard datasets are provided for different fusion hybrid models.