Suppr超能文献

一种用于DNA结合位点高分辨率定位的高效靶向核酸酶策略。

An efficient targeted nuclease strategy for high-resolution mapping of DNA binding sites.

作者信息

Skene Peter J, Henikoff Steven

机构信息

Howard Hughes Medical Institute, Basic Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, United States.

出版信息

Elife. 2017 Jan 16;6:e21856. doi: 10.7554/eLife.21856.

Abstract

We describe Cleavage Under Targets and Release Using Nuclease (CUT&RUN), a chromatin profiling strategy in which antibody-targeted controlled cleavage by micrococcal nuclease releases specific protein-DNA complexes into the supernatant for paired-end DNA sequencing. Unlike Chromatin Immunoprecipitation (ChIP), which fragments and solubilizes total chromatin, CUT&RUN is performed in situ, allowing for both quantitative high-resolution chromatin mapping and probing of the local chromatin environment. When applied to yeast and human nuclei, CUT&RUN yielded precise transcription factor profiles while avoiding crosslinking and solubilization issues. CUT&RUN is simple to perform and is inherently robust, with extremely low backgrounds requiring only ~1/10th the sequencing depth as ChIP, making CUT&RUN especially cost-effective for transcription factor and chromatin profiling. When used in conjunction with native ChIP-seq and applied to human CTCF, CUT&RUN mapped directional long range contact sites at high resolution. We conclude that in situ mapping of protein-DNA interactions by CUT&RUN is an attractive alternative to ChIP-seq.

摘要

我们描述了一种名为“靶向切割并利用核酸酶释放(CUT&RUN)”的染色质分析策略,该策略中,微球菌核酸酶通过抗体靶向控制切割,将特定的蛋白质-DNA复合物释放到上清液中,用于双端DNA测序。与染色质免疫沉淀(ChIP)不同,ChIP会使总染色质片段化并溶解,而CUT&RUN是原位进行的,既能实现定量高分辨率染色质图谱绘制,又能探究局部染色质环境。当应用于酵母和人类细胞核时,CUT&RUN产生了精确的转录因子图谱,同时避免了交联和溶解问题。CUT&RUN操作简单,本质上很稳健,背景极低,测序深度仅为ChIP的约十分之一,这使得CUT&RUN在转录因子和染色质分析方面极具成本效益。当与天然ChIP-seq结合使用并应用于人类CTCF时,CUT&RUN以高分辨率绘制了定向长程接触位点。我们得出结论,通过CUT&RUN对蛋白质-DNA相互作用进行原位图谱绘制是ChIP-seq的一种有吸引力的替代方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0eff/5310842/7297e068bf13/elife-21856-fig1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验