Comparative analyses of ChIP-seq, CUT&RUN and CUT&Tag for Polycomb chromatin profiling.

Chromatin profiling methods such as ChIP-seq, CUT&RUN, and CUT&Tag differ substantially in background structure, signal distribution, and resolution, complicating direct quantitative comparison across platforms. In this study, we systematically compared conventional and double-crosslink ChIP-seq, CUT&RUN, and CUT&Tag by profiling the Polycomb-associated histone modification H3K27me3 in human cardiomyocytes and the PRC2 catalytic subunit EZH2 in pluripotent stem cells. To enable cross-assay comparison, we developed a biologically informed normalization strategy based on stable Polycomb reference loci, allowing harmonization of signal scales while preserving assay-intrinsic signal architecture. This approach revealed CUT&RUN to preferentially capture broad H3K27me3 domains, whereas CUT&Tag provides sharper and more localized enrichment for both H3K27me3 and EZH2. Together, our results establish a practical framework for cross-platform epigenomic comparison and guide the selection of chromatin profiling strategies. [BMB Reports 2026; 59(4): 242-252].

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PubMed
Published
2026-04-01
Primary Topic
Epigenetics and DNA Methylation
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article
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article

Comparative analyses of ChIP-seq, CUT&RUN and CUT&Tag for Polycomb chromatin profiling.

Chul‐Hwan Lee, Yun-Gwi Park, Sanghyun Lee, Soon-Jung Park et al.
PubMed
Epigenetics and DNA Methylation
article

Comparative analyses of ChIP-seq, CUT&RUN and CUT&Tag for Polycomb chromatin profiling.

Chul‐Hwan Lee, Yun-Gwi Park, Sanghyun Lee, Soon-Jung Park, Sung-Hwan Moon, Inkyung Jung, Hanbyeol Kim, Yoonji Oh
article en

Abstract

Chromatin profiling methods such as ChIP-seq, CUT&RUN, and CUT&Tag differ substantially in background structure, signal distribution, and resolution, complicating direct quantitative comparison across platforms. In this study, we systematically compared conventional and double-crosslink ChIP-seq, CUT&RUN, and CUT&Tag by profiling the Polycomb-associated histone modification H3K27me3 in human cardiomyocytes and the PRC2 catalytic subunit EZH2 in pluripotent stem cells. To enable cross-assay comparison, we developed a biologically informed normalization strategy based on stable Polycomb reference loci, allowing harmonization of signal scales while preserving assay-intrinsic signal architecture. This approach revealed CUT&RUN to preferentially capture broad H3K27me3 domains, whereas CUT&Tag provides sharper and more localized enrichment for both H3K27me3 and EZH2. Together, our results establish a practical framework for cross-platform epigenomic comparison and guide the selection of chromatin profiling strategies. [BMB Reports 2026; 59(4): 242-252].

PubMedVol. 59(4)
Seoul National University (KR), Korea Advanced Institute of Science and Technology (KR), Cancer Research Institute (US), New Generation University College (ET), Seoul National University Hospital (KR), Chung-Ang University (KR)
Openalex Percentile: Top 54%
Epigenetics and DNA Methylation
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