Evidence map›Paper›PMID 42285100›Full record

ArticleCell reports methods2026

Systematic benchmarking of CUT&Tag improves the reliability and reproducibility of chromatin analysis.

Josiah D Murray, Atrayee Ray, Khanmi Kasomva, Erica Steen, Cary Stelloh, Kirthi Pulakanti, Phillip A Doerfler, Navonil De Sarkar, Qiongzi Qiu, Yong Liu and 5 more

Abstract read
In one paragraph

Article in Cell reports methods, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

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

15 authors.

Josiah D MurrayVersiti Blood Research Institute, Milwaukee, WI 53226, USA; Department of Cell Biology, Neurobiology, and Anatomy, Medical College of Wisconsin, Milwaukee, WI 53226, USA; Medical Scientist Training Program, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
Atrayee RayVersiti Blood Research Institute, Milwaukee, WI 53226, USA.
Khanmi KasomvaVersiti Blood Research Institute, Milwaukee, WI 53226, USA; Department of Medicine, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
Erica SteenVersiti Blood Research Institute, Milwaukee, WI 53226, USA; Department of Cell Biology, Neurobiology, and Anatomy, Medical College of Wisconsin, Milwaukee, WI 53226, USA; Medical Scientist Training Program, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
Cary StellohVersiti Blood Research Institute, Milwaukee, WI 53226, USA.
Kirthi PulakantiVersiti Blood Research Institute, Milwaukee, WI 53226, USA.
Phillip A DoerflerVersiti Blood Research Institute, Milwaukee, WI 53226, USA; Department of Cell Biology, Neurobiology, and Anatomy, Medical College of Wisconsin, Milwaukee, WI 53226, USA; Department of Pediatrics, Section of Hematology/Oncology/Transplantation, Children's Hospital of Wisconsin, Milwaukee, WI 53226, USA.
Navonil De SarkarDepartment of Pathology and Laboratory Medicine, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
Qiongzi QiuDepartment of Physiology, University of Arizona, Tucson, AZ 85721, USA.
Yong LiuDepartment of Physiology, University of Arizona, Tucson, AZ 85721, USA.
Aron M GeurtsDepartment of Physiology, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
Allen W CowleyDepartment of Physiology, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
Alison E MeyerVersiti Blood Research Institute, Milwaukee, WI 53226, USA.
Mingyu LiangDepartment of Physiology, University of Arizona, Tucson, AZ 85721, USA.
Sridhar RaoVersiti Blood Research Institute, Milwaukee, WI 53226, USA; Department of Cell Biology, Neurobiology, and Anatomy, Medical College of Wisconsin, Milwaukee, WI 53226, USA; Medical Scientist Training Program, Medical College of Wisconsin, Milwaukee, WI 53226, USA; Department of Pediatrics, Section of Hematology/Oncology/Transplantation, Children's Hospital of Wisconsin, Milwaukee, WI 53226, USA. Electronic address: sridhar.rao@versiti.org.

Funding

Sequencing Coordination and Data Analysis CoreP01HL149620 · NHLBI · UNIVERSITY OF ARIZONA · PI LIANG, MINGYU · 2020 to 2024
$11.8M
Defining GATA4’s Molecular Function in Gastric Cell BiologyR01DK134064 · NIDDK · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI BATTLE, MICHELE A, RAO, SRIDHAR · 2022 to 2025
$2.1M
Cohesin Mutations in Acute Myelogenous LeukemiaR01CA204231 · NCI · VERSITI WISCONSIN, INC. · PI RAO, SRIDHAR · 2017 to 2021
$1.9M
GATA2-TGF beta-TAL1 pathway as a critical mediator of NK Cell developmentR01AI183571 · NIAID · MEDICAL COLLEGE OF WISCONSIN · PI BARBARA L. KEE, Subramaniam Malarkannan · 2025 to 2026
$1.5M
Defining the mechanisms of hemoglobin switching and genotoxicities associated with its manipulationK01DK132453 · NIDDK · VERSITI BLOOD HEALTH, INC. · PI Phillip A Doerfler · 2022 to 2026
$760k
NCI NIH HHS R01 CA204231NHLBI NIH HHS P01 HL149620NIAID NIH HHS R01 AI183571NIDDK NIH HHS K01 DK132453NIDDK NIH HHS R01 DK134064
6 · The paper itself

Abstract

Cleavage under target and tagmentation (CUT&Tag) is a widely used method for profiling chromatin occupancy; however, its reproducibility is impacted by a lack of standardization in experimental and analytical procedures. This study identifies four key parameters critical for optimizing CUT&Tag performance. First, optimal cell number requirements are target and species specific: H3K27me3 detection requires ≥10K cells in both mouse and rat cells, whereas CTCF mapping needs 50K cells in mouse embryonic stem cells and 100K in rat C6 cells, reflecting potential differences in protein abundance and antibody affinity. Second, the peak-calling methodology is crucial; default model-based analysis of chromatin immunoprecipitation followed by sequencing (MACS2) scaling causes a paradoxical decrease in peak numbers with decreasing IgG control size, a limitation resolved by the "scale-to-large" option. Third, duplicate removal strategies differentially affect peak callers, with MACS2 performing best using biological reads and sparse enrichment analysis for CUT&RUN (SEACR) relying on technical duplicates for accurate calling. Finally, mild crosslinking with 0.2 mM ethylene glycol bis (succinimidyl succinate) (EGS) for 5 min enhances CTCF detection and reduces variability. Together, these optimizations establish practical guidelines for reliable CUT&Tag experimental design and analysis.

Indexed as

BenchmarkingChromatinChromatin ImmunoprecipitationAnimalsCCCTC-Binding FactorHistonesMiceRatsReproducibility of ResultsCCCTC-Binding FactorChromatinHistonesCP: molecular biologyCTCFH3K27me3MACS2SEACRsingle-cell CUT&Tag

Identifiers

PMID42285100
PMCPMC13494542

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.