一种基于实时荧光定量PCR的寨卡病毒检测方法的建立

Qi?xuan ZHU,Jin?long CHEN,Fei?fei YIN,You ZHANG,Shan?shan WANG,Yue WU,Xiu?ji CUI,Yi?ji LI,Pei LIANG,Rui?jia FU,Gang Lü

Journal of Tropical Medicine（2017）SCI 4区SCI 3区

Cited 6|Views19

Abstract

目的建立一种基于实时荧光定量PCR技术的寨卡病毒检测方法.方法根据代表性亚洲型、非洲型寨卡病毒株NS5基因序列,设计特异性引物ZK?1F/R、ZK?2F/R;利用PCR、Real?time PCR方法对引物特异性、灵敏度、可重复性进行评价和优化;利用寨卡病毒感染细胞对本方法进行验证.结果 PCR结果表明两对引物的特异性良好,其Real?time PCR检测灵敏度分别为1.0×103 copies/μL和1.0×101 copies/μL,扩增效率分别为0.68和0.90,说明引物ZK?2F/R的综合效果优于ZK?1F/R,通过优化实验条件建立基于引物ZK?2F/R的实时荧光定量PCR检测方法,对含有寨卡病毒PRVABC59株和MR766株的样本进行检测,结果分别为9.0×104 copies/μL、8.5×104 copies/μL.结论本研究建立了一种检测寨卡病毒的方法,可用于临床患者ZIKV感染的检测和预防.

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Key words

Zika virus,Real?time PCR,PCR

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Pretraining has recently greatly promoted the development of natural language processing (NLP)
We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance

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