Home
 /
Papers
 /
Genomics
 /
CoCUT&Tag maps linked chromatin states at single-molecule, single-cell resolution
Preprint
Open access
V1
Top 1% · Validated by QED

CoCUT&Tag maps linked chromatin states at single-molecule, single-cell resolution

Wenjie Sun, Emma Baird, Harry J. Ashbaugh +2 more
April 2026
 ·
bioRxiv
 ·
DOI 
10.64898/2026.04.27.721191
94
%
Reproducible
QED Impressions
This paper passed independent validation.
QED's automated review checked the evidence supporting each claim, the statistical methods, and whether the results are reproducible from the data provided.

It ranks in the top 1% of preprints assessed in Genomics this quarter.
Run full QED analysis
Read paper
Save

Why this is interesting

CoCUT&Tag resolves the longstanding impossibility of measuring true chromatin co-occupancy in single cells, overturning the stem-cell bivalency model by showing bivalency increases during differentiation and governs activation amplitude—not timing—via an enhancer-threshold mechanism.

QED claims analysis

Summary

CoCUT&Tag enables single-cell, single-molecule measurement of linked chromatin states, revealing that bivalent chromatin persists and increases during human hematopoietic differentiation rather than being maximal in stem cells, and functions not to accelerate gene activation but to establish an enhancer threshold that enables high-amplitude expression by requiring accumulation of more numerous and stronger lineage-specific enhancers before Polycomb restraint is overcome.

See full analysis
Main Claim 1 –

CoCUT&Tag Nanobody Scaffolds Enable Single-Cell Chromatin Co-occupancy Measurement

Supporting evidence

  • Mixed-Barcodes Detect True Co-occupancy in Positive/Negative Mark Controls
  • Twelve-Repeat Antigen Scaffolds Optimize Single-Cell CoCUT&Tag Performance
  • Single-Cell CoCUT&Tag Resolves Immune Types; H3K27me3 Most Informative
Main Claim 2 –

Global Bivalency Increases During Hematopoiesis, Not Maximal in HSC/MPP

Supporting evidence

  • H3K27me3 Abundance Primarily Drives Global Bivalency Variation Across Cell Types
  • Bivalent Genes Show Distinct H3K27me3 and H3K4me1/2 Signatures
Main Claim 3 –

Bivalent and Unmarked States Rarely Interconvert, Resolve to Active/Repressed

Main Claim 4 –

Bivalent Genes Activate on Time but Reach Higher Expression

Supporting evidence

  • Activated Bivalent Genes Exhibit Greater Than Twofold RNA Induction
  • Promoters and Lineage Enhancers Separate by H3K4me3/H3K4me1 and Motifs
  • Bivalent Genes Link to More and Stronger Enhancers Than Unmarked

Abstract

Genomic methods for profiling multiple chromatin features face tradeoffs in specificity, sensitivity, and the ability to measure chromatin co-occupancy in rare cell types and primary tissues. Here, we present CoCUT&Tag, which uses synthetic antigen-peptide repeats paired with nanobodies to enhance Tn5 transposase targeting and enable single-cell measurement of the co-occupancy of two chromatin features on the same DNA molecule. We apply CoCUT&Tag to test the model that bivalent chromatin, marked by the coexistence of H3K27me3 and H3K4 methylation, preserves stem-cell multipotency by keeping developmental genes poised for future activation. We find that during human hematopoietic differentiation, global bivalency increases, whereas the number of genes in an active chromatin state is highest in stem and multipotent progenitor cells. Bivalent and unmarked genes activate with similar timing, but bivalent genes define a distinct regulatory class that achieves higher expression, is associated with more numerous and stronger enhancers, and is preferentially derepressed following loss of Polycomb-repressor proteins. Our study shows that bivalent chromatin increases enhancer demand to enable high-amplitude gene activation, demonstrating that CoCUT&Tag can resolve longstanding questions about combinatorial chromatin regulation.

Related papers

How the QED Score works

QED Score is a validated AI-based quality metric that evaluates life science papers on two dimensions: originality and validity. Each manuscript is anonymized, broken down into its claims and supporting evidence, and examined by specialized AI agents for statistical rigor, consistency across figures, and fit with the existing literature. Scores are percentile ranks, so they're comparable across fields. In blinded tests, expert professors sided with QED Score over journal rank in 75% of decisive cases.
Read the methodology

Free access for academic researchers

Create your free QED account to validate your research, strengthen grant proposals, and uncover scientific insights.
We've sent you an access link.
Please check your inbox.

Didn't get your email? Check your spam folder or reach out to info@qedscience.com

Oops! Something went wrong while submitting the form.
Looking for QED for pharma, biotech or life science organizations?