Tao Yu, Aditi Dey Poonam, Amy Halbing, Shengwei Zhang, Yingmiao Liu, Zheng Li, William Marx, Andrew B. Nixon and Qingshan Wei
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引用次数: 0
摘要
很少有护理点(POC)分子方法存在像聚合酶链反应(PCR)一样敏感,同时保持简单性,便携性和鲁棒性,用于检测复杂样品介质中的特定核酸。在这里,我们开发了一种等温非酶扩增级联,称为顺序非酶扩增(SENA)及其数字分析版本(dSENA),用于超灵敏检测稀释后的人血清中的无细胞microRNAs (miRNAs),回收率为95%。SENA由两层基于DNA电路的放大器组成,其中杂交链反应(HCR)和催化发夹组装(CHA)串联在一起,将信号放大4000倍以上。在dSENA中,灵敏度进一步提高,在优化条件下,检测限(LOD)低至5 fM。SENA和dSENA在6个log的分析物浓度(10 fM - 10 nM)范围内显示出较宽的检测动态范围,并具有从点突变和其他干扰序列中区分目标mirna的高特异性。dSENA被证明可以量化结直肠癌患者血清中miR-21和miR-92的表达水平,其准确性与RT-PCR相当。由于其简单、紧凑和类似pcr的性能,SENA在POC miRNA或ssDNA分析中具有很大的潜力。
A digital nonenzymatic nucleic acid amplification assay for ultrasensitive detection of cell-free microRNA in human serum
Few point-of-care (POC) molecular methods exist that are as sensitive as polymerase chain reaction (PCR) while maintaining the simplicity, portability, and robustness for detecting specific nucleic acids in complex sample media. Here, we developed an isothermal nonenzymatic amplification cascade, named sequential nonenzymatic amplification (SENA), and its digital assay version (dSENA), for the ultrasensitive detection of cell-free microRNAs (miRNAs) in diluted human serum with a >95% recovery rate. SENA consists of two layers of DNA circuit-based amplifiers, in which the hybridization chain reaction (HCR) and catalyzed hairpin assembly (CHA) were concatenated to amplify the signals by more than 4000-fold. The sensitivity was further improved in dSENA, where a limit of detection (LOD) down to 5 fM was achieved under the optimized conditions. SENA and dSENA together demonstrated a broad detection dynamic range over 6 logs of analyte concentrations (10 fM – 10 nM), and high specificity for discriminating target miRNAs from point mutations and other interference sequences. dSENA was demonstrated to quantify expression levels of miR-21 and miR-92 in colorectal cancer patient serum with accuracy comparable to RT-PCR. Given its simplicity, compactness, and PCR-like performance, SENA holds great potential in POC miRNA or ssDNA analysis.