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Updated: Sep 1, 2025

3D Multicolor DNA FISH Tool to Study Nuclear Architecture in Human Primary Cells
Published on: January 25, 2020
Visualizing Single-Nucleotide Variations in a Nuclear Genome Using Colocalization of Dual-Engineered CRISPR Probes
Yan Liang1, Sixuan Wu1, Wenshuai Han1
1School of Pharmaceutical Sciences, Collaborative Innovation Center of New Drug Research and Safety Evaluation, Key Laboratory of Targeting Therapy and Diagnosis for Critical Diseases, Zhengzhou University, Zhengzhou 450001, China.
We developed CoDEC, a new CRISPR-based method for directly visualizing single-nucleotide variations (SNVs) in single cells. This technique enhances accuracy and efficiency for genomic research and clinical applications.
Area of Science:
- Genomics
- Molecular Biology
- Cell Biology
Background:
- Direct visualization of single-nucleotide variations (SNVs) is crucial for understanding genome organization and cell phenotypes.
- Existing methods face limitations in specificity, efficiency, and target site accessibility.
Purpose of the Study:
- To develop a novel strategy for visualizing SNVs in the nuclear genome with high resolution.
- To improve the accuracy and efficiency of SNV detection in single cells.
Main Methods:
- Developed a CRISPR-based visualization strategy using colocalization of dual-engineered CRISPR probes (CoDEC).
- Engineered sgRNA with a hairpin for specificity and a loop for signal amplification.
- Utilized a guide probe-based colocalization strategy to differentiate true positive signals from false positives.
Main Results:
- CoDEC successfully visualized SNVs in situ within single cells.
- The method achieved high accuracy in distinguishing on-target signals from off-target signals.
- Compared to CasPLA, CoDEC extended applicable target gene sites and improved detection efficiency.
Conclusions:
- CoDEC offers a facile and accurate method for studying in situ SNV information at single-molecule and single-nucleotide resolutions.
- This technique has potential applications in basic research and clinical diagnostics.
- CoDEC advances the field of single-cell genomics and epigenomics.
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