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.
CUT&Tag recovers up to half of ENCODE ChIP-seq histone acetylation peaks.
CUT&Tag 可恢复高达一半的 ENCODE ChIP-seq 组蛋白乙酰化峰
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作者:Abbasova Leyla, Urbanaviciute Paulina, Hu Di, Ismail Joy N, Schilder Brian M, Nott Alexi, Skene Nathan G, Marzi Sarah J
| 期刊: | Nature Communications | 影响因子: | 15.700 |
| 时间: | 2025 | 起止号: | 2025 Mar 27; 16(1):2993 |
| doi: | 10.1038/s41467-025-58137-2 | 研究方向: | 免疫/内分泌 |
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