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SEB 基因分型:适用于 HBV 的复杂、高度多变目标的 SmartAmp-Eprimer 二进制代码基因分型。

SEB genotyping: SmartAmp-Eprimer binary code genotyping for complex, highly variable targets applied to HBV.

机构信息

Genetic Diagnosis Technology Unit, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, Japan.

Liver Cancer Prevention Research Unit, RIKEN Cluster for Pioneering Research, Wako, Saitama, 351-0198, Japan.

出版信息

BMC Infect Dis. 2022 Jun 3;22(1):516. doi: 10.1186/s12879-022-07458-4.

Abstract

BACKGROUND

SmartAmp-Eprimer Binary code (SEB) Genotyping is a novel isothermal amplification method for rapid genotyping of any variable target of interest.

METHODS

After in silico alignment of a large number of sequences and computational analysis to determine the smallest number of regions to be targeted by SEB Genotyping, SmartAmp primer sets were designed to obtain a binary code of On/Off fluorescence signals, each code corresponding to a unique genotype.

RESULTS

Applied to HBV, we selected 4 targets for which fluorescence amplification signals produce a specific binary code unique to each of the 8 main genotypes (A-H) found in patients worldwide.

CONCLUSIONS

We present here the proof of concept of a new genotyping method specifically designed for complex and highly variable targets. Applied here to HBV, SEB Genotyping can be adapted to any other pathogen or disease carrying multiple known mutations. Using simple preparation steps, SEB Genotyping provides accurate results quickly and will enable physicians to choose the best adapted treatment for each of their patients.

摘要

背景

SmartAmp-Eprimer Binary code(SEB)基因分型是一种新颖的等温扩增方法,可用于快速对任何感兴趣的可变靶标进行基因分型。

方法

对大量序列进行计算机比对,并进行计算分析,以确定 SEB 基因分型要靶向的最小区域数量,然后设计 SmartAmp 引物组,以获得开/关荧光信号的二进制代码,每个代码对应一个独特的基因型。

结果

应用于乙型肝炎病毒(HBV),我们选择了 4 个靶标,其荧光扩增信号产生一种特定的二进制代码,每个代码对应于在世界各地患者中发现的 8 种主要基因型(A-H)中的每一种。

结论

我们在这里提出了一种专门针对复杂和高度可变靶标的新型基因分型方法的概念验证。应用于乙型肝炎病毒(HBV),SEB 基因分型可以适用于任何其他携带多个已知突变的病原体或疾病。使用简单的准备步骤,SEB 基因分型可以快速提供准确的结果,并使医生能够为每个患者选择最佳的治疗方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/672b/9164387/38c4403cef4f/12879_2022_7458_Fig1_HTML.jpg

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