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Protein engineering of glutathione transferase for the development of optical biosensor to detect xenobiotics

机译:谷胱甘肽转移酶的蛋白质工程用于开发光学生物传感器以检测异生素

摘要

Glutathione transferases (GSTs, EC. 2.5.1.18) are inducible enzymes that play essential role in detoxification and degradation of toxic compounds, including pesticides. The purpose of the present study is the development of an optical enzyme biosensor based on GSTs, for the detection and determination of pesticides in environmental samples. Protein engineering was used for the creation of a GST variant with higher selectivity towards pesticides. cDNA libraries were created from Phaseolus vulgaris and Glycine max stressed plants using degenerated primers and reverse transcription-PCR. Large diversity in GST genes was accomplished employing directed evolution through DNA shuffling of a mixture of GST genes from P. vulgaris and G. max stressed plants. The shuffled library of chimaeric GST genes was cloned in E. coli expression plasmid. Screening of the library led to the isolation of a novel GST enzyme that displays both glutathione transferase and glutathione peroxidase activities. The enzyme was purified by affinity chromatography and characterized by kinetic analysis towards 20 different substrates and 66 different pesticides. The results showed that the organoclorine insecticides and strobilurins (fungicides) are strong inhibitors of the enzyme. The specificity of the enzyme towards pesticides was further improved using site-saturation mutagenesis at position Phe117. The mutant Phe117Ile displays 5-fold higher catalytic efficiency and selectivity towards organochlorine insecticides. Therefore, the mutant GSTPhe117Ile was used for the development of an optical biosensor. The enzyme was immobilized in alkoxysilane (TEOS/PTMOS) sol-gel system in the presence of the pH indicators bromocresol purple (acidic) and phenol red (basic). The bioactive material exhibits linearity in the range of 0.625-30 μΜ α-endosulfan (pH=4-7) at 562 nm and was used for the development of an analytical method for the determination of α-endosulfan in environmental samples.
机译:谷胱甘肽转移酶(GSTs,EC 2.5.1.18)是可诱导的酶,在有毒化合物(包括农药)的解毒和降解中起着至关重要的作用。本研究的目的是开发一种基于GST的光学酶生物传感器,用于检测和测定环境样品中的农药。蛋白工程技术用于创建对农药具有更高选择性的GST变体。使用退化引物和逆转录PCR从菜豆和大豆最大胁迫植物中创建cDNA文库。 GST基因的多样性很大,这是通过定向改组,通过对普通百日草和重度剑麻植物的GST基因混合物进行DNA重排而实现的。在大肠杆菌表达质粒中克隆了改组的嵌合GST基因文库。文库的筛选导致显示谷胱甘肽转移酶和谷胱甘肽过氧化物酶活性的新型GST酶的分离。该酶通过亲和色谱纯化,并通过针对20种不同底物和66种不同农药的动力学分析进行表征。结果表明,有机氯杀虫剂和嗜球果伞素(杀菌剂)是该酶的强抑制剂。使用位点Phe117的位点饱和诱变可进一步提高酶对农药的特异性。突变体Phe117Ile的催化效率和对有机氯杀虫剂的选择性提高了5倍。因此,突变体GSTPhe117Ile被用于光学生物传感器的开发。在pH指示剂溴甲酚紫(酸性)和酚红(碱性)的存在下,将酶固定在烷氧基硅烷(TEOS / PTMOS)溶胶-凝胶体系中。该生物活性材料在562nm处在0.625-30μM的α-硫丹(pH = 4-7)的范围内显示线性,并且用于开发用于测定环境样品中的α-硫丹的分析方法。

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