染色质
协议(科学)
背景(考古学)
审问
计算生物学
仿形(计算机编程)
计算机科学
DNA
生物
遗传学
医学
操作系统
替代医学
考古
古生物学
病理
历史
作者
M. Ryan Corces,Alexandro E. Trevino,Emily G. Hamilton,Peyton Greenside,Nicholas A. Sinnott‐Armstrong,Sam Vesuna,Ansuman T. Satpathy,Adam J. Rubin,Kathleen S. Montine,Beijing Wu,Arwa S. Kathiria,Seung Woo Cho,Maxwell R. Mumbach,Ava C. Carter,Maya Kasowski,Lisa A. Orloff,Viviana I. Risca,Anshul Kundaje,Paul A. Khavari,Thomas J. Montine,William J. Greenleaf,Howard Y. Chang
出处
期刊:Nature Methods
[Springer Nature]
日期:2017-08-28
卷期号:14 (10): 959-962
被引量:1928
摘要
We present Omni-ATAC, an improved ATAC-seq protocol for chromatin accessibility profiling that works across multiple applications with substantial improvement of signal-to-background ratio and information content. The Omni-ATAC protocol generates chromatin accessibility profiles from archival frozen tissue samples and 50-μm sections, revealing the activities of disease-associated DNA elements in distinct human brain structures. The Omni-ATAC protocol enables the interrogation of personal regulomes in tissue context and translational studies.
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