The development of a droplet digital PCR for accurate detection of SARS-CoV- 2 by simultaneous determination of dual gene targets

Author:

Zhang Juanmei1,Han Jingru1,Liang Yixuan1,Bai Chunyang1,Liu Wenhua1,Wang Xiaoyan1,Liao Ziqian1,Guo Jianghao1,Zhu Qingguo1,Liu Hongliang1,Bao Dengke1,Zhang Yijie1

Affiliation:

1. Henan University

Abstract

Abstract Real-time fluorescent quantitative PCR is considered as the gold standard for diagnosing COVID-19 worldwide now. But RT-PCR which could yield semi-quantitative results only, and the sensitivity of this method is usually not sufficient to discriminate patients in early stages of infection or with a very low viral load. So, the false-negative phenomenon often brings difficulties to epidemic prevention and diagnosis. More accurate and robust determine method are required for accurate SARS-CoV-2 diagnosis. To offer an attractive platform for SARS-CoV-2 RNA quantification, we report a droplet digital PCR technique for efficient, accurate, and quantitative detection of SARS-CoV-2 RNA. Two pairs of primer and two double-quenched probes targeting the region of ORF1ab and N protein coding genes of SARS-CoV-2 were designed to develop ddPCR assay. The sensitivity, specificity, repeatability, and reproducibility were tested by standard cDNAs and clinical specimens. First, we found the optimal annealing temperature was 53.6℃, the optimal primer concentration was 500 nM per reaction. When both probes of ORF1ab and N protein are applied simultaneously, their concentrations are100 nM and 50 nM, respectively. The optimal concentration of SARS-CoV-2 standard cDNA ranged from 1×103 to 1×104 copies/µL. And under this condition, the trend line for the measured concentration is Y = 0.9978x-0.4435. Further, the ddPCR were approximately 10 folds greater sensitivity than RT-qPCR assay. The established ddPCR assay with both probes showed to be a highly effective, accurate and reliable method for the sensitive detection of SARS-CoV-2. And the ddPCR method is the most potential and valuable method for clinical detection of SARS-CoV-2 virus.

Publisher

Research Square Platform LLC

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3