Characterization and optimization of extracellular alkaline lipase production by Alcaligenes sp. Using stearic acid as carbon source

The aim of this study was to improve the production of an extracellular alkaline lipase from Alcaligenes sp. (ATCC 31371) by optimization of the culture medium, for economic production of biodiesel from waste vegetable oil. A number of carbon sources including different types of starch, sugar, sugar alcohol, organic acids, and surfactants were investigated. Polyoxyethylene (20) sorbitan tristearate, whose side chain is stearic acid, was the most effective carbon source for lipase production. Box-Behnken experimental design was used for three factors (soy protein, sodium nitrate, and stearic acid) and the optimal composition for maximum lipase production (1.7-fold enhancement) was established as soy protein 4.07%, sodium nitrate 0.17%, and stearic acid 0.28% at 28°C with an agitation rate of 220 rpm for 24 h. The enzyme was purified to homogeneity and the recovery of the lipase activity was 7.8% with a 30-fold purification. The estimated molecular size of the protein determined by SDS-PAGE was 33 kDa. The optimum pH and temperature of the purified lipase was 8.5 and 40°C, respectively. The purified enzyme was stable in the pH range of 6.0 and 9.5 and in the temperature range of 20 and 50°C.     

Prediction of proton exchange and bacterial growth on various substrates using constraint-based modeling approach

Proton exchange between cells and medium is one of the most important factors affecting culture pH, and hence its prediction is advantageous. In this research, proton exchange flux across the cell membrane was predicted using a genome-scale model. Calculated proton exchange flux was then exploited as a criterion to predict the trends and intensities of pH changes in cultures of Bacillus subtilis containing various C-sources, i.e. glucose, sucrose, glycerol, lactate, and citrate, as well as N-sources, i.e. ammonium chloride, sodium nitrate, urea, and histidine. The results showed that glucose, sucrose, and glycerol lowered culture pH as compared to citrate and lactate, which raised it. With regard to N-sources, the model predicted that ammonium chloride lowered culture pH while other sources raised pH. Furthermore, maximum theoretical biomass yield using the various C&N-sources was calculated, and sensitivity of microbial growth to proton exchange flux was investigated using robustness analysis to identify the effect of pH on growth of B. subtilis using different substrates. Finally, the effect of ammonium nitrate, a widely used nitrogen source, on growth of B. subtilis was studied. Experimental data obtained by cultivation of B. subtilis DSM 3256 on mineral salt media containing various C&N-sources were used to confirm model predictions. Model predictions were in good agreement with the experimental results for all of the examined C-sources as well as ammonium chloride and sodium nitrate as N-sources. However, the predictions for the N-sources urea and histidine showed deviations, possibly because these two compounds serve as both C&N-sources.     

Chitinase family genes in grape differentially expressed in a manner specific to fruit species in response to Botrytis cinerea

Molecular Biology Reports - Chitinases (Chi), an important resistance-related protein, act against fungal pathogens by catalyzing the fungal cell wall, whereas are involved in different biological...     

Periplasmic expression and one-step purification of urease subunit B of Helicobacter pylori

UreB is one of the urease subunits of Helicobacter pylori and can be used as an excellent antigen candidate for H. pylori vaccination. Easy access to highly purified UreB protein, facilitate advances in therapeutic or preventive strategies. To achieve a simplified purification procedure, the present report represents a novel method of producing recombinant urease subunit B extracellularly. ureB gene from 26,695 standard strain was amplified by PCR and cloned into pET-26b(+) expression vector. UreB was expressed as a soluble, N-terminal pelB and C-terminal hexahistidine-tagged fusion protein (UreB-6His) and secreted into the periplasmic space of Escherichia coli. Expression of the recombinant UreB in E. coli BL21 (DE3) was induced by isopropylthio-β-d-galactoside (IPTG). Expression of UreB was confirmed by sodium dodecyl sulphate–polyacrylamide gel electrophoresis (SDS–PAGE) and western blot analysis using anti-His monoclonal antibody. UreB-6His protein was extracted from the periplasm by osmotic shock treatment and was purified in one step by Nickel affinity chromatography. In conclusion, the present protocol is easier to perform; more time effective and low cost than earlier methods.     

Gender specificity of a genetic variant of angiotensin-converting enzyme and risk of coronary artery disease

Etiological factors for coronary artery disease (CAD) involve a wide range of gene and environmental interactions. One of the systems being implicated in the pathophysiology of CAD is the renin-angiotensin system (RAS). However, the genetic polymorphisms of this system have not been widely studied in Iranian patients diagnosed with CAD. The aim of this study was to assess the relationship between six gene polymorphisms of RAS components and CAD in a sample of Iranian population. A total of 374 participants were enrolled in a case/control study. The presence of CAD was determined by coronary angiography. Genotyping of six RAS gene polymorphisms was performed using a modified PCR–RFLP method. Our results revealed, for the first time, a significant independent association of angiotensin-converting enzyme (ACE) A-240T polymorphism and incidence of CAD among Iranian women (P = 0.005, OR = 20.4, 95 % CI = 2.49–41.2). There has also been a significant difference in genotype distribution of ACE A-240T (P = 0.008) and angiotensin II receptor type 2 C3123A polymorphism (P = 0.032) in Iranian female participants. In conclusion, TT genotype of ACE A-240T seems to be a genetic risk factor for CAD in Iranian women.     

Systematic identification of novel cancer genes through analysis of deep shRNA perturbation screens

Systematic perturbation screens provide comprehensive resources for the elucidation of cancer driver genes. The perturbation of many genes in relatively few cell lines in such functional screens necessitates the development of specialized computational tools with sufficient statistical power. Here we developed APSiC (Analysis of Perturbation Screens for identifying novel Cancer genes) to identify genetic drivers and effectors in perturbation screens even with few samples. Applying APSiC to the shRNA screen Project DRIVE, APSiC identified well-known and novel putative mutational and amplified cancer genes across all cancer types and in specific cancer types. Additionally, APSiC discovered tumor-promoting and tumor-suppressive effectors, respectively, for individual cancer types, including genes involved in cell cycle control, Wnt/β-catenin and hippo signalling pathways. We functionally demonstrated that LRRC4B, a putative novel tumor-suppressive effector, suppresses proliferation by delaying cell cycle and modulates apoptosis in breast cancer. We demonstrate APSiC is a robust statistical framework for discovery of novel cancer genes through analysis of large-scale perturbation screens. The analysis of DRIVE using APSiC is provided as a web portal and represents a valuable resource for the discovery of novel cancer genes.