化学
计算生物学
单核苷酸多态性
癌症
小RNA
分子生物学
遗传学
基因
基因型
生物化学
生物
作者
Lijuan Wang,Qian Han,Jinping Hu,Hou-xiu Wang,Meng Liu,Chun‐yang Zhang
出处
期刊:Analytical Chemistry
[American Chemical Society]
日期:2022-10-28
卷期号:94 (44): 15171-15175
被引量:11
标识
DOI:10.1021/acs.analchem.2c04281
摘要
MicroRNA (miRNA)-related single-nucleotide polymorphisms (miR-SNPs) are a novel class of genetic variations involved in multiple cellular functions, and they have emerged as promising biomarkers for cancer diagnostics and prognostics. Herein, we demonstrate for the first time the structure-switchable hairpin-powered exponential replications for sensing attomolar miR-SNPs in human cancer tissues with zero background. In the presence of target miR-196a2T, hairpin probes (i.e., HP1 and HP2) are splinted together to construct the dumbbell-shaped probe (DSP) with SplintR ligase catalysis. Once the DSP is formed, the self-primed polymerization extension and linear FIP/BIP-primed strand displacement DNA synthesis (SDS) are automatically repeated to activate self-circulated exponential amplification, producing large amounts of double-stranded DNAs (dsDNAs) which can be real-time monitored using SYBR Green I. This nanodevice can detect miR-196a2T with an ultralow detection limit of 2.46 aM; distinguish rare miR-196a2 SNP with a selectivity factor of 0.001%; and even profile miR-196a2T in human tissues for nonsmall cell lung cancer (NSCLC) diagnosis, risk assessment, and cancer type prediction. Notably, this nanodevice can be rapidly and homogeneously used in one tube in a real-time and label-free manner, providing a powerful point-of-care platform for noninvasive diagnostics and prognostics of miR-SNPs-related human cancers.
科研通智能强力驱动
Strongly Powered by AbleSci AI