共域化
计算生物学
假阳性悖论
基因组
清脆的
邻近连接试验
化学
基因
生物
计算机科学
细胞生物学
人工智能
生物化学
受体
作者
Yan Liang,Sixuan Wu,Wenshuai Han,Jinjin Wang,Chenlu Xu,Jinjin Shi,Zhenzhong Zhang,Hua Gao,Kaixiang Zhang,Jinghong Li
出处
期刊:Analytical Chemistry
[American Chemical Society]
日期:2022-08-17
卷期号:94 (34): 11745-11752
被引量:11
标识
DOI:10.1021/acs.analchem.2c01208
摘要
Direct visualization of single-nucleotide variation (SNV) in single cells is of great importance for understanding the spatial organization of genomes and their relationship with cell phenotypes. Herein, we developed a new strategy for visualizing SNVs in a nuclear genome using colocalization of dual-engineered CRISPR probes (CoDEC). By engineering the structure of sgRNA, we incorporated a hairpin in the spacer domain for improving SNV recognition specificity and a loop in the nonfunctional domain for localized signal amplification. Using guide probe-based colocalization strategy, we can successfully distinguish on-target true positive signals from the off-target false positives with high accuracy. Comparing with a proximity ligation-based assay (CasPLA), the probe colocalization strategy extended applicable target gene sites (the distance between two designed probes can be extended to around 200nt) and improved detection efficiency. This newly developed method provides a facile way for studying in situ information on SNVs in individual cells for basic research and clinical applications with single-molecule and single-nucleotide resolutions.
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