Three-dimensional (3D) genome dynamics are crucial for cellular functions and disease. However, real-time, live-cell DNA visualization remains challenging, as existing methods are often confined to repetitive regions, suffer from low resolution, or require complex genome engineering. Here, we present Oligo-LiveFISH, a high-resolution, reagent-based platform for dynamically tracking non-repetitive genomic loci in diverse cell types, including primary cells. Oligo-LiveFISH utilizes fluorescent guide RNA (gRNA) oligo pools generated by computational design, in vitro transcription, and chemical labeling, delivered as ribonucleoproteins. Utilizing machine learning, we characterized the impact of gRNA design and chromatin features on imaging efficiency. Multi-color Oligo-LiveFISH achieved 20-nm spatial resolution and 50-ms temporal resolution in 3D, capturing real-time enhancer and promoter dynamics. Our measurements and dynamic modeling revealed two distinct modes of chromatin communication, and active transcription slows enhancer-promoter dynamics at endogenous genes like FOS. Oligo-LiveFISH offers a versatile platform for studying 3D genome dynamics and their links to cellular processes and disease.
High-resolution dynamic imaging of chromatin DNA communication using Oligo-LiveFISH.
利用 Oligo-LiveFISH 技术对染色质 DNA 通讯进行高分辨率动态成像
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作者:Zhu Yanyu, Balaji Ashwin, Han Mengting, Andronov Leonid, Roy Anish R, Wei Zheng, Chen Crystal, Miles Leanne, Cai Sa, Gu Zhengxi, Tse Ariana, Yu Betty Chentzu, Uenaka Takeshi, Lin Xueqiu, Spakowitz Andrew J, Moerner W E, Qi Lei S
| 期刊: | Cell | 影响因子: | 42.500 |
| 时间: | 2025 | 起止号: | 2025 Jun 12; 188(12):3310-3328 |
| doi: | 10.1016/j.cell.2025.03.032 | 研究方向: | 其它 |
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