Suppr超能文献

CUT&Tag技术可找回高达一半的ENCODE ChIP-seq组蛋白乙酰化峰。

CUT&Tag recovers up to half of ENCODE ChIP-seq histone acetylation peaks.

作者信息

Abbasova Leyla, Urbanaviciute Paulina, Hu Di, Ismail Joy N, Schilder Brian M, Nott Alexi, Skene Nathan G, Marzi Sarah J

机构信息

UK Dementia Research Institute at Imperial College London, London, UK.

Department of Brain Sciences, Imperial College London, London, UK.

出版信息

Nat Commun. 2025 Mar 27;16(1):2993. doi: 10.1038/s41467-025-58137-2.

Abstract

DNA-protein interactions have traditionally been profiled via chromatin immunoprecipitation followed by next-generation sequencing (ChIP-seq). Cleavage Under Targets & Tagmentation (CUT&Tag) is a rapidly expanding technique that enables the profiling of such interactions in situ at high sensitivity. However, thorough evaluation and benchmarking against established ChIP-seq datasets are lacking. Here, we comprehensively benchmarked CUT&Tag for H3K27ac and H3K27me3 against published ChIP-seq profiles from ENCODE in K562 cells. Combining multiple new and published CUT&Tag datasets, there was an average recall of 54% known ENCODE peaks for both histone modifications. We tested peak callers MACS2 and SEACR and identified optimal peak calling parameters. Overall, peaks identified by CUT&Tag represent the strongest ENCODE peaks and show the same functional and biological enrichments as ChIP-seq peaks identified by ENCODE. Our workflow systematically evaluates the merits of methodological adjustments, providing a benchmarking framework for the experimental design and analysis of CUT&Tag studies.

摘要

传统上,DNA与蛋白质的相互作用是通过染色质免疫沉淀结合下一代测序(ChIP-seq)来进行分析的。靶向切割与标签化(CUT&Tag)是一种迅速发展的技术,能够在原位以高灵敏度分析此类相互作用。然而,目前缺乏针对已建立的ChIP-seq数据集进行的全面评估和基准测试。在此,我们针对K562细胞中来自ENCODE的已发表ChIP-seq图谱,对H3K27ac和H3K27me3的CUT&Tag技术进行了全面的基准测试。结合多个新的和已发表的CUT&Tag数据集,两种组蛋白修饰对已知ENCODE峰的平均召回率为54%。我们测试了峰值调用软件MACS2和SEACR,并确定了最佳的峰值调用参数。总体而言,CUT&Tag识别出的峰代表了最强的ENCODE峰,并且与ENCODE识别出的ChIP-seq峰显示出相同的功能和生物学富集。我们的工作流程系统地评估了方法调整的优点,为CUT&Tag研究提供了一个实验设计和分析的基准框架。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/164d/11950320/48a062dc29c2/41467_2025_58137_Fig1_HTML.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验