Evidence map›Paper›PMID 42088458›Full record

ArticleJournal of biomolecular techniques : JBT2026

A side-by-side comparison of commercial CUT&RUN kits.

K Pham, V Rodriquez, E Tokcan, D Kraushaar

Abstract readComparative Study
In one paragraph

Article in Journal of biomolecular techniques : JBT, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

K Pham *Genomic and RNA Profiling Core Baylor College of Medicine.
V Rodriquez *Genomic and RNA Profiling Core Baylor College of Medicine.
E TokcanGenomic and RNA Profiling Core Baylor College of Medicine.
D KraushaarGenomic and RNA Profiling Core Baylor College of Medicine.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

CUT&RUN (Cleavage Under Targets and Release Using Nuclease) followed by next-generation sequencing is a powerful method increasingly used in place of ChIP-seq to profile genome-wide protein-DNA interactions, including those of transcription factors, histone modifications, and chromatin remodelers. Although the choice of antibody is well known to affect data quality, we found that enrichment chemistry and protocol also significantly impact data quality. In this study, we evaluated the performance of three commercially available CUT&RUN kits (Active Motif - ChIC/CUT&RUN Assay Kit, Cell Signaling Technology (CST) - CUT&RUN Assay Kit, EpiCypher - CUTANA™ ChIC/CUT&RUN Kit) on two target histone marks to represent sharp peaks (H3K4me3) and broad domains (H3K27me3). We compared data quality from libraries generated with fresh and frozen cells, as well as with cell numbers at the low and high ends of the recommended input range. Our results show that all three chemistries generate high-quality libraries. Our data revealed that, despite generating fewer H3K4me3 peaks than the EpiCypher and Active Motif workflows, the CST protocol produced libraries with superior signal and higher accuracy. Compared with the H3K4me3 libraries, the H3K27me3 libraries presented a lower percentage of shared peaks across all libraries and lower reproducibility between technical replicates. Compared with the CST protocol, the Active Motif and EpiCypher protocols generated H3K27me3 libraries with higher peak numbers, and the EpiCypher chemistry achieved the highest accuracy. Libraries from cryopreserved cells generated data of similar quality to libraries from fresh cells; libraries generated with 100,000 cells had higher concordance between technical replicates than did libraries made with 500,000 cells.

Indexed as

High-Throughput Nucleotide SequencingChromatin Immunoprecipitation SequencingHistonesHumanshistone H3 trimethyl Lys4HistonesCUT&RUNEpigenomicsHistone Modification Profiling

Identifiers

PMID42088458
PMCPMC13138781

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.