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Klenow(exo-)蛋白的制备及其在RAA检测体系中的应用研究
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  • 英文篇名:Preparation of Klenow (exo-) Protein and its Preliminary Application in RAA Detection System
  • 作者:付玉和 ; 孙文丽 ; 黄震巨 ; 程奇
  • 英文作者:FU Yuhe;SUN Wenli;HUANG Zhenju;CHENG Qi;Biotechnology Research Institute, Chinese Academy of Agricultural Sciences;Hangzhou Zhongce Biotechnology Co. Ltd.;
  • 关键词:Klenow(exo-)蛋白制备 ; RAA技术 ; SNPs检测
  • 英文关键词:Klenow(exo-) protein preparation;;RAA;;SNPs detection
  • 中文刊名:生物技术进展
  • 英文刊名:Current Biotechnology
  • 机构:中国农业科学院生物技术研究所;杭州众测生物科技有限公司;
  • 出版日期:2019-07-25
  • 出版单位:生物技术进展
  • 年:2019
  • 期:04
  • 基金:北京市自然科学基金项目(6164042)资助
  • 语种:中文;
  • 页:99-105
  • 页数:7
  • CN:33-1375/Q
  • ISSN:2095-2341
  • 分类号:Q78
摘要
为了建立一种Klenow(exo-)蛋白的制备方法,并对其在RAA(recombinase-aid amplification)技术中的应用进行初步研究,通过Overlap点突变法构建获得目的基因片段,并构建Klenow(exo-)蛋白表达载体进而转化至大肠杆菌BL21(DE3)菌株进行诱导表达。表达产物通过Ni-NTA螯合层析进行初步纯化,然后用Heparine柱层析进一步纯化,通过SDS-PAGE鉴定纯化产物,获得了纯度较高的目的蛋白。用纯化后的目的蛋白配制RAA反应体系,针对肉源实际样本设计突变位点进行检测。实验结果显示该体系具有较强的特异性,在模板基因序列3′端出现双碱基差异时不会进行有效扩增,相较于常规的PCR检测方式该体系能够实现双碱基差异位点的有效区分。该技术未来有望大规模应用于SNPs的检测。
        A preparation method of Klenow(exo-) protein was established and its application in RAA technology was preliminary studied. The target gene fragment was constructed by the Overlap point mutation method, and the Klenow(exo-) protein expression vector was constructed and transformed into Escherichia coli BL21(DE3) strain to induce expression. The expressed product was subjected to preliminary purification by Ni-NTA chelate chromatography, followed by Heparine column chromatography for further purification, and the purified product was identified by SDS-PAGE. A protein of higher purity was obtained. The purified RAA reaction system was prepared using the purified target protein, and the mutation site was designed for the actual sample of the meat source. The experimental results showed that the system has strong specificity and don't amplified when there is a double base difference at the 3′ end of the template gene sequence, compared with the conventional PCR detection method, the system could effectively distinguish double base mutation. The system was expected to applied in detection of SNPs in the future.
引文
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