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首页> 外文期刊>BioMed research international >Optimization of Culture Conditions for Production of the Anti-Leukemic Glutaminase Free L-Asparaginase by Newly IsolatedStreptomyces olivaceusNEAE-119 Using Response Surface Methodology
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Optimization of Culture Conditions for Production of the Anti-Leukemic Glutaminase Free L-Asparaginase by Newly IsolatedStreptomyces olivaceusNEAE-119 Using Response Surface Methodology

机译:利用响应面法优化新分离的链霉菌olivaceusNEAE-119生产抗白血病谷氨酰胺酶的游离L-天冬酰胺酶的培养条件

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摘要

Among the antitumor drugs, bacterial enzyme L-asparaginase has been employed as the most effective chemotherapeutic agent in pediatric oncotherapy especially for acute lymphoblastic leukemia. Glutaminase free L-asparaginase producing actinomycetes were isolated from soil samples collected from Egypt. Among them, a potential culture, strain NEAE-119, was selected and identified on the basis of morphological, cultural, physiological, and biochemical properties together with 16S rRNA sequence asStreptomyces olivaceusNEAE-119 and sequencing product (1509 bp) was deposited in the GenBank database under accession number KJ200342. The optimization of different process parameters for L-asparaginase production byStreptomyces olivaceusNEAE-119 using Plackett-Burman experimental design and response surface methodology was carried out. Fifteen variables (temperature, pH, incubation time, inoculum size, inoculum age, agitation speed, dextrose, starch, L-asparagine, KNO3, yeast extract, K2HPO4, MgSO4·7H2O, NaCl, and FeSO4·7H2O) were screened using Plackett-Burman experimental design. The most positive significant independent variables affecting enzyme production (temperature, inoculum age, and agitation speed) were further optimized by the face-centered central composite design-response surface methodology.
机译:在抗肿瘤药物中,细菌酶L-天冬酰胺酶已被用作小儿肿瘤治疗中最有效的化学治疗剂,特别是对于急性淋巴细胞白血病。从埃及收集的土壤样品中分离出不含谷氨酰胺酶的产生L-天冬酰胺酶的放线菌。其中,根据形态,文化,生理和生化特性以及16S rRNA序列选择了潜在的培养菌株NEAE-119,并将其作为寡聚链霉菌NEAE-119和测序产物(1509 bp)存放在GenBank中登录号为KJ200342的数据库。利用Plackett-Burman实验设计和响应面方法对寡聚链霉菌NEAE-119生产L-天冬酰胺酶的不同工艺参数进行了优化。使用Plackett-P筛选了15个变量(温度,pH,孵育时间,接种量,接种年龄,搅拌速度,葡萄糖,淀粉,L-天冬酰胺,KNO3,酵母提取物,K2HPO4,MgSO4·7H2O,NaCl和FeSO4·7H2O)。布尔曼实验设计。通过以面为中心的中央复合设计-响应表面方法进一步优化了影响酶生产(温度,接种物年龄和搅拌速度)的最积极的显着自变量。

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