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].
Authors
- Chul‐Hwan Lee (ORCID: https://orcid.org/0000-0003-0643-0100)
- Yun-Gwi Park
- Sanghyun Lee
- Soon-Jung Park
- Sung-Hwan Moon
- Inkyung Jung
- Hanbyeol Kim
- Yoonji Oh
Institutions
- 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)
Publication Details
- Journal
- PubMed
- Published
- 2026-04-01
- Primary Topic
- Epigenetics and DNA Methylation
- Type
- article
- Field-Weighted Citation Impact
- 0.00