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

L Leyla Abbasova P Paulina Urbanaviciute D Di Hu (Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina) J Joy N. Ismail B Brian M. Schilder A Alexi Nott N Nathan G. Skene S Sarah J. Marzi

Abstract

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.

Article Details

Volume / Issue Vol. 16, Issue 1
Published March 27, 2025
ISSN 2041-1723
Publisher Nature Portfolio

Journal Info

Nature Communications

Nature Portfolio

ISSN: 2041-1723 Open Access Life Sciences

Authors (8)

L

Leyla Abbasova

P

Paulina Urbanaviciute

D

Di Hu

Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina

J

Joy N. Ismail

B

Brian M. Schilder

A

Alexi Nott

N

Nathan G. Skene

S

Sarah J. Marzi