表观遗传学
仿形(计算机编程)
染色质
计算生物学
计算机科学
条形码
生物
空间分析
增强子
生物系统
原位
高分辨率
图像分辨率
DNA甲基化
空间生态学
后生
微流控
人工智能
基因组学
作者
Ming Zhu,Zhicheng Zha,Jian Xuan,Hanyu Zhao,Jinxian Dai,Jiamao Liu,Youyuan Xia,Hongli Lin,Yiding Yang,Fei Chen,Shichao Lin,Xuzhu Liu,Lingling Wu,Zhi Zhu,Jialiang Huang,Huimin Zhang,Chaoyong Yang
出处
期刊:
[Cold Spring Harbor Laboratory]
日期:2025-12-10
标识
DOI:10.64898/2025.12.08.692886
摘要
Abstract Spatial profiling of protein-DNA interactions is essential for understanding gene regulatory processes, but current methods suffer from low sensitivity, limited resolution, and complex workflows. Here we introduce Super-CUT&Tag ( S olid-phase interface embedded with an U ltra-dense DNA barcode array to P rofile E pigenomic landscapes for spatially R esolved CUT&Tag), a robust spatial epigenomic method that directly transfers in situ protein-DNA interactions from tissue sections onto a pre-fabricated spatially barcoded array. Incorporating 3D polyamidoamine (PAMAM) dendrimers markedly improves chromatin capture efficiency, achieving several-fold higher sensitivity compared to current spatial CUT&Tag approaches. Using Super-CUT&Tag, we profile H3K27ac spatial landscape and uncover previously hidden active-chromatin heterogeneity across mouse embryonic tissues and stages. Integration with spatial transcriptomics further reveals spatiotemporal enhancer regulation dynamics of Neurod2 during corticogenesis. By overcoming key bottlenecks in sensitivity, resolution and usability, Super-CUT&Tag establishes a powerful platform for spatial epigenomic profiling in complex tissues.
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