Department of Chemistry, Virginia Commonwealth University, Richmond, Virginia 23284, United States.
ACS Sens. 2021 Mar 26;6(3):1367-1374. doi: 10.1021/acssensors.1c00002. Epub 2021 Mar 15.
Selective and sensitive detection of nucleic acid biomarkers is of great significance in early-stage diagnosis and targeted therapy. Therefore, the development of diagnostic methods capable of detecting diseases at the molecular level in biological fluids is vital to the emerging revolution in the early diagnosis of diseases. However, the vast majority of the currently available ultrasensitive detection strategies involve either target/signal amplification or involve complex designs. Here, using a p53 tumor suppressor gene whose mutation has been implicated in more than 50% of human cancers, we show a background-free ultrasensitive detection of this gene on a simple platform. The sensor exhibits a relatively static mid-FRET state in the absence of a target that can be attributed to the time-averaged fluorescence intensity of fast transitions among multiple states, but it undergoes continuous dynamic switching between a low- and a high-FRET state in the presence of a target, allowing a high-confidence detection. In addition to its simple design, the sensor has a detection limit down to low femtomolar (fM) concentration without the need for target amplification. We also show that this sensor is highly effective in discriminating against single-nucleotide polymorphisms (SNPs). Given the generic hybridization-based detection platform, the sensing strategy developed here can be used to detect a wide range of nucleic acid sequences enabling early diagnosis of diseases and screening genetic disorders.
核酸生物标志物的选择性和灵敏检测在早期诊断和靶向治疗中具有重要意义。因此,开发能够在生物流体中检测疾病分子水平的诊断方法对于疾病早期诊断的新兴革命至关重要。然而,目前绝大多数超灵敏检测策略要么涉及目标/信号放大,要么涉及复杂的设计。在这里,我们使用一种 p53 肿瘤抑制基因,其突变与超过 50%的人类癌症有关,在一个简单的平台上展示了对这种基因的无背景超灵敏检测。在没有目标的情况下,传感器表现出相对静态的中间 FRET 状态,这可以归因于多个状态之间快速跃迁的时间平均荧光强度,但在存在目标的情况下,它会在低 FRET 和高 FRET 状态之间连续动态切换,从而实现高置信度检测。除了设计简单外,该传感器在无需目标扩增的情况下,检测限低至低飞摩尔(fM)浓度。我们还表明,该传感器在区分单核苷酸多态性(SNP)方面非常有效。鉴于基于杂交的通用检测平台,这里开发的传感策略可用于检测广泛的核酸序列,从而实现疾病的早期诊断和遗传疾病的筛查。