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

IF 15.7 1区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Nature Communications Pub Date : 2025-03-27 DOI:10.1038/s41467-025-58137-2
Leyla Abbasova, Paulina Urbanaviciute, Di Hu, Joy N. Ismail, Brian M. Schilder, Alexi Nott, Nathan G. Skene, Sarah J. Marzi
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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.

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CUT&Tag恢复多达一半的ENCODE ChIP-seq组蛋白乙酰化峰
dna -蛋白质相互作用传统上是通过染色质免疫沉淀和下一代测序(ChIP-seq)来分析的。目标下的切割标记(CUT&Tag)是一种快速发展的技术,能够以高灵敏度在原位分析这种相互作用。然而,目前还缺乏针对已建立的ChIP-seq数据集的全面评估和基准测试。在这里,我们将H3K27ac和H3K27me3的CUT&;Tag与K562细胞中ENCODE公布的ChIP-seq谱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,两种组蛋白修饰的已知ENCODE峰平均召回率为54%。我们测试了峰值调用者MACS2和SEACR,并确定了最佳峰值调用参数。总的来说,通过CUT&;Tag识别的峰代表最强的ENCODE峰,并且显示出与通过ENCODE识别的ChIP-seq峰相同的功能和生物富集。我们的工作流程系统地评估方法调整的优点,为实验设计和分析CUT&;Tag研究提供基准框架。
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来源期刊
Nature Communications
Nature Communications Biological Science Disciplines-
CiteScore
24.90
自引率
2.40%
发文量
6928
审稿时长
3.7 months
期刊介绍: Nature Communications, an open-access journal, publishes high-quality research spanning all areas of the natural sciences. Papers featured in the journal showcase significant advances relevant to specialists in each respective field. With a 2-year impact factor of 16.6 (2022) and a median time of 8 days from submission to the first editorial decision, Nature Communications is committed to rapid dissemination of research findings. As a multidisciplinary journal, it welcomes contributions from biological, health, physical, chemical, Earth, social, mathematical, applied, and engineering sciences, aiming to highlight important breakthroughs within each domain.
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