化学
清脆的
小RNA
核糖核酸
抄写(语言学)
结直肠癌
计算生物学
分子生物学
癌症
基因
遗传学
生物化学
哲学
语言学
生物
作者
Xia Cheng,Wenchen Zhao,Dandan Ren,Xinyi Xia,Sijia Lu,Daixi Chen,Xiaohong Wang,Qijun Li,Qi Long Lu,Y. J. Gu,Xiaolan Bian,Ping Yu,Wenpei Dong
出处
期刊:Talanta
[Elsevier BV]
日期:2024-10-02
卷期号:282: 126960-126960
被引量:1
标识
DOI:10.1016/j.talanta.2024.126960
摘要
Accurate analysis of multiple microRNA (miRNA) levels is significantly valuable for early diagnosis of colorectal cancer noninvasively considering the miRNA expression is highly relevant to the occurrence and progression of cancer. However, the low abundance and high sequence homology of miRNAs make their precise determination extremely challenging. Here, we developed a universal and programmable diagnostic strategy allowing for analyzing multiple colorectal cancer-associated miRNAs. The system combined sequentially programmable rolling circle transcription (RCT) and the CRISPR/Cas12a system with high trans-cleavage activity to achieve highly sensitive and specific detection of four target miRNAs. Owing to the remarkable performance of universal RCT-Cas12a strategy, this biosensor could detect miR-21, miR-17, miR-31 and miR-92a with a LOD of 2.1, 1.6, 3.7 and 1.0 pM, respectively. This strategy had a unique advantage in distinguishing human normal colon epithelial cells lines (NCM460) from human colon cancer cells (HT29). In particular, the designed system exhibited superior analytical capability in distinguishing paracancerous and colorectal cancer tissues from patients undergoing colorectal cancer surgery. This arbitrarily programmable, scalable, fast and specific strategy potentially offered an attractive alternative to handle varied challenges encountered with CRISPR-based systems, and held immense promise in scientific research and clinical applications.
科研通智能强力驱动
Strongly Powered by AbleSci AI