重组酶聚合酶扩增
多路复用
分子生物学
核酸
生物
分子信标
重组酶
聚合酶
多重聚合酶链反应
病毒学
DNA
聚合酶链反应
基因
遗传学
寡核苷酸
重组
作者
Yi Ma,Haiping Wu,Shan Chen,Chunmei Xie,Jingjing Hu,Xiemin Qi,Wei Ma,Yanan Chu,Jingwen Shan,Yan Lü,Lunbiao Cui,Bingjie Zou,Guohua Zhou
标识
DOI:10.1016/j.bios.2023.115456
摘要
Recombinase polymerase amplification (RPA) running at 37-42 °C is fast, efficient and less-implemented; however, the existing technologies of nucleic acid testing based on RPA have some limitations in specificity of single-base recognition and multiplexing capability. Herein, we report a highly specific and multiplex RPA-based nucleic acid detection platform by combining flap endonuclease 1 (FEN1)-catalysed invasive reactions with RPA, termed as FEN1-aided RPA (FARPA). The optimal conditions enable RPA and FEN1-based fluorescence detection to occur automatically and sequentially within a 25-min turnaround time and FARPA exhibits sensitivity to 5 target molecules. Due to the ability of invasive reactions in discriminating single-base variation, this one-pot FARPA is much more specific than the Exo probe-based or CRISPR-based RPA methods. Using a universal primer pair derived from tags in reverse transcription primers, multiplex FARPA was successfully demonstrated by the 3-plex assay for the detection of SARS-CoV-2 pathogen (the ORF1ab, the N gene, and the human RNase P gene as the internal control), the 2-plex assay for the discrimination of SARS-CoV-2 wild-type from variants (Alpha, Beta, Epsilon, Delta, or Omicrons), and the 4-plex assay for the screening of arboviruses (zika virus, tick-borne encephalitis virus, yellow fever virus, and chikungunya virus). We have validated multiplex FARPA with 103 nasopharyngeal swabs for SARS-CoV-2 detection. The results showed a 100% agreement with RT-qPCR assays. Moreover, a hand-held FARPA analyser was constructed for the visualized FARPA due to the switch-like endpoint read-out. This FARPA is very suitable for pathogen screening and discrimination of viral variants, greatly facilitating point-of-care diagnostics.
科研通智能强力驱动
Strongly Powered by AbleSci AI