仿形(计算机编程)
染色质
计算生物学
生物
相(物质)
计算机科学
化学
遗传学
DNA
操作系统
有机化学
作者
Enric Llorens-Bobadilla,Margherita Zamboni,Maja Marklund,Nayanika Bhalla,Xinsong Chen,Johan Hartman,Jonas Frisén,Patrik L. Ståhl
标识
DOI:10.1038/s41587-022-01603-9
摘要
Current methods for epigenomic profiling are limited in their ability to obtain genome-wide information with spatial resolution. We introduce spatial ATAC, a method that integrates transposase-accessible chromatin profiling in tissue sections with barcoded solid-phase capture to perform spatially resolved epigenomics. We show that spatial ATAC enables the discovery of the regulatory programs underlying spatial gene expression during mouse organogenesis, lineage differentiation and in human pathology.
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