分析化学2026，Vol.54Issue(4)：521-537,17.DOI:10.19756/j.issn.0253-3820.261025
基于成簇规律间隔短回文重复序列及其相关蛋白系统辅助分子自组装策略的肿瘤标志物检测研究进展
Advances in Tumor Marker Detection Based on CRISPR-Cas System-assisted Molecular Self-Assembly Strategies
摘要
Abstract
The ultra-low abundance of tumor markers and interference from complex matrices in liquid biopsy represent the primary bottlenecks for early cancer screening,and single amplification strategyis can bardly achieve a good balance among sensitivity,specificity,and reaction speed.In recent years,clustered regularly interspaced short palindromic repeats(CRISPR)and CRISPR-associated proteins(Cas)system-assisted molecular self-assembly strategy was used in detection of tumor biomarker.Leveraging the precise recognition and efficient cleavage activity of CRISPR-Cas system,this synergistic strategy effectively overcomes the challenges of background leakage and sluggish kinetics associated with traditional enzyme-free self-assembly.By constructing a cascade signal amplification loop,CRISPR-Cas system-assisted molecular self-assembly strategies enable the ultrasensitive and highly specific detection of trace markers such as circular tumor DNA(ctDNA)and micro RNA(miRNA).Herein,recent research progress on CRISPR-Cas system-assisted molecular self-assembly strategies for tumor marker detection was reviewed.The applications of this dual signal amplification mechanism in the field of physical sensing were introduced.The deep integration of the CRISPR-Cas system-assisted molecular self-assembly strategies with artificial intelligence,solid-state reagent storage,and microfluidic technology constituted a pivotal direction for advancing its application in clinical point-of-care testing.关键词
分子自组装/成簇规律间隔短回文重复序列及其相关蛋白系统/肿瘤标志物/生物传感器/评述Key words
Molecular self-assembly/CRISPR-Cas system/Tumor markers/Biosensors/Review引用本文复制引用
娄子璇,宋煜晨,陈姣,董钟,邓冬梅,罗立强..基于成簇规律间隔短回文重复序列及其相关蛋白系统辅助分子自组装策略的肿瘤标志物检测研究进展[J].分析化学,2026,54(4):521-537,17.基金项目
国家自然科学基金项目(Nos.61971274,62171268,62571308)资助. Supported by the National Natural Science Foundation of China(Nos.61971274,62171268,62571308). （Nos.61971274,62171268,62571308）
