The aim of study To purify GPCR from a local strain of S. cerevisiae using Ion exchange and gel filtration chromatography techniques , by packing materials for columns which will be chosen of low cost comparing to the already used in published researches, which depend on the costly affinity chromatography and other expensive methods of purification. Local strain of S. cerevisiae chosen for extraction and purification of G-protein coupled receptor (GPCR) .The strains were obtained from biology department in Al- Mosul University, Iraq. The isolated colony was activated on Yeast Extract Pepton Dextrose Broth (YEPDB) and incubated at 30 C˚ for 24 h .Loop fully of the yeast culture was transferred to (10ml) of yeast extract peptone glucose agar (YEPGA) slant , then incubated at 30C˚for 24h , after that it was stored at 4C˚ ,the yeast cultures were reactivated and persevered after each two weeks period. S.cerevisiae was identified by morphological, microscopic characterization and biochemical test . The GPCR that extract from whole cell of S.cerevisiae was purified by ion exchange chromatography using DEAE-Sepharose ,the bound proteins (negatively charged) were then eluted using gradient concentration of NaCl ranged between( 0.1 -0.5M). Gel filtration chromatography using Sepharose 6B was applied as a second step of purification. The optical density for each fraction was measured at 280 nm by UV-VS spectrophotometer then the GPCR concentration was determined by using ELISA Kit . The fractions which gave the highest absorbance and concentration of GPCR were collected .The molecular weight of GPCR was determined by gel filtration chromatography using blue dextrin solution. Standard curve was plotted between log of molecular weight for standard protein and the ratio of Ve/Vo of GPCR . The purity of the GPCR that extracted and purified from whole cell of S, cerevisiae were carried out by using SDS-PAGE electrophoresis . In ion exchange chromatography the fraction were collected with 5 ml tube at a flow rate 0.5 ml/ min and eluted with gradient (0.1-0.5M) of sodium chloride solution. Two proteins peaks appeared after eluted by the gradient concentration of sodium chloride, while no protein peaks appeared in the washing fractions. The GPCR concentration was measured in the fractions of these two protein peaks, data indicated that GPCR located in the first protein peak (eluted at 0.1M of NaCl) at fraction numbers between 3 and 9, the maximum concentration of GPCR was 9.281 with specific activity 71.58(ng/mg)protein , 3.125 purification folds and72.9(%) yield while the second peaks (eluted at 0.4 M of NaCl) don't give any concentration for GPCR, thus its neglected. Gel filtration chromatography was used as second step of purification which applied by using sepharose 6B. Results show single active protein peaks appeared that identical with the peak of GPCR at fractions numbers(29-35). The maximum concentration of GPCR was 9.082 (ng/ml)was observed in these fractions. The specific activity for these fractions was 151.37 (ng/mg) protein with 6.608 purification folds and 39.64 (%) yield. The present study a chive a relatively high purification of GPCR from whole cell of a local strain S. cerevisiae with fold purification 6.608 and a yield of 39.64 % and molecular weight about~33KD.
The current study deals with the performance of constructed wetland (CW) incorporating a microbial fuel cell (MFC) for wastewater treatment and electricity generation. The whole unit is referred to as CW-MFC. This technique involves two treatments; the first is an aerobic treatment which occurs in the upper layer of the system (cathode section) and the second is anaerobic biological treatment in the lower layer of the system (anode section). Two types of electrode material were tested; stainless steel and graphite. Three configurations for electrodes arrangement CW-MFC were used. In the first unit of CW-MFC, the anode was graphite plate (GPa) and cathode was also graphite plate (GPc), in the second CW-MFC unit, the anode was stainless steel
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There are several oil reservoirs that had severe from a sudden or gradual decline in their production due to asphaltene precipitation inside these reservoirs. Asphaltene deposition inside oil reservoirs causes damage for permeability and skin factor, wettability alteration of a reservoir, greater drawdown pressure. These adverse changing lead to flow rate reduction, so the economic profit will drop. The aim of this study is using local solvents: reformate, heavy-naphtha and binary of them for dissolving precipitated asphaltene inside the oil reservoir. Three samples of the sand pack had been prepared and mixed with a certain amount of asphaltene. Permeability of these samples calculated before and after mixed with asphaltenes. Then, the
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The aim of this work is study the partical distribution function g(r12,r1) for Carbon ion cases (C+2,C+3,C+4) in the position space using Hartree-Fock's Wave function, and the partitioning technique for each shell which is represented by Carbon Ions [C+2 (1s22s2)], [C+3 (1s22s)] and [C+4 (1s2)]. A comparision has been made among the three Carbon ions for each shell. A computer programs (MATHCAD ver. 2001i) has been used texcute the results.
The goal of this study was to investigate the protein peroxidation role by measuring serum levels of advanced oxidation protein products (AOPP) in type 2 diabetic patients with or without retinopathy and comparing them to controls to see if circulating AOPP levels can be used as a detection biomarker for DR. And see which of the two widely used antidiabetic treatment groups had the most impact on this oxidative stress marker. The groups were divided into two subgroups: 1) 70 type 2 diabetic patients (36 male, 34 female), 35 with diabetic retinopathy (DR) and 35 with no evidence of DR, and 2) non-diabetic controls (11 male, 9 female) were chosen from Ibn AL-Haitham Hospital for Ophthalmology and a Specialized Center for Endocrinology and Dia
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Evolutionary algorithms (EAs), as global search methods, are proved to be more robust than their counterpart local heuristics for detecting protein complexes in protein-protein interaction (PPI) networks. Typically, the source of robustness of these EAs comes from their components and parameters. These components are solution representation, selection, crossover, and mutation. Unfortunately, almost all EA based complex detection methods suggested in the literature were designed with only canonical or traditional components. Further, topological structure of the protein network is the main information that is used in the design of almost all such components. The main contribution of this paper is to formulate a more robust E
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Urine proteomics have been an area of interest and recently in Kala-azar as an alternative sample type for serum or plasma. Because of simplicity, noninvasiveness of collection and simpler matrix. Many studies had detected an increased protein excretion in the urine of patients with active Kala-azar due to renal involvement particularly by an immunological related mechanism(s). This study have demonstrated the presence of three different protein profiles in Iraqi children (Patients: including 60 children aged 4-60 months) with defined Kala-azar using the conventional SDS-PAGE on urine samples. Urine protein profile in Kala-azar patients revealed three groups of banding patterns: group-1(33.4)% of the patients show the pattern of 5
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Binary relations or interactions among bio-entities, such as proteins, set up the essential part of any living biological system. Protein-protein interactions are usually structured in a graph data structure called "protein-protein interaction networks" (PPINs). Analysis of PPINs into complexes tries to lay out the significant knowledge needed to answer many unresolved questions, including how cells are organized and how proteins work. However, complex detection problems fall under the category of non-deterministic polynomial-time hard (NP-Hard) problems due to their computational complexity. To accommodate such combinatorial explosions, evolutionary algorithms (EAs) are proven effective alternatives to heuristics in solvin
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KE Sharquie, AA Noaimi, Journal of the Saudi Society of Dermatology & Dermatologic Surgery, 2012 - Cited by 36