Evidence map›Paper›PMID 42818115›Full record

ArticlebioRxiv : the preprint server for biology2026

Discrepancies between ChIP-seq and CUT&Tag histone mark profiles are explained by GC content and chromatin accessibility.

Eduardo Modolo, Lauren Patel, Oren Ram, Itamar Simon, Eric Mendenhall, Sven Heinz, Christopher Benner, Alon Goren

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 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

8 authors.

Eduardo ModoloDepartment of Medicine, University of California, San Diego, La Jolla, California 92093, USA.ORCID 0009-0006-7698-6680
Lauren PatelDepartment of Medicine, Division of Endocrinology & Metabolism, University of California, San Diego, La Jolla, California 92093, USA.ORCID 0000-0003-3495-5887
Oren RamDepartment of Biochemistry, Alexander Silberman Institute of Life Sciences, The Hebrew University, Jerusalem, Israel.ORCID 0000-0001-6341-5252
Itamar SimonDepartment of Microbiology and Molecular Genetics, Institute of Medical Research Israel-Canada, Faculty of Medicine, The Hebrew University, Jerusalem, Israel.ORCID 0000-0002-8517-1903
Eric MendenhallMendex Bio, Huntsville, Alabama, USA.ORCID 0000-0002-7395-6295
Sven HeinzDepartment of Medicine, Division of Endocrinology & Metabolism, University of California, San Diego, La Jolla, California 92093, USA.ORCID 0000-0002-4665-1007
Christopher BennerDepartment of Medicine, Division of Endocrinology & Metabolism, University of California, San Diego, La Jolla, California 92093, USA.ORCID 0000-0002-4618-0719
Alon GorenDepartment of Medicine, University of California, San Diego, La Jolla, California 92093, USA.ORCID 0000-0001-5669-9357

Funding

UC San Diego Genetics Training ProgramT32GM145427 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BRUCE A HAMILTON · 2022 to 2026
$2.6M
NIGMS NIH HHS T32 GM145427
6 · The paper itself

Abstract

Chromatin profiling methods, such as ChIP-seq (chromatin immunoprecipitation followed by sequencing), are used to characterize the genomic localization of DNA-associated proteins. While ChIP and ChIP-seq have been used for decades, an orthogonal approach, CUT&Tag (Cleavage Under Targets and Tagmentation), is gaining popularity as an efficient and cost-effective alternative. Although previous comparative studies note discrepancies in signal-to-noise ratios and detection bias at certain genomic regions, many differences between ChIP-seq and CUT&Tag results remain largely unreconciled. Here, we systematically investigate the disagreeing signals captured by these two methods across well annotated genomic regions. We assess multiple histone mark profiles generated by different groups in two cell lines (K562 and MCF-7). Overall, our analysis indicates that compared to ChIP-seq, CUT&Tag may have limited sensitivity in low-GC environments and, as previously observed

Identifiers

PMID42818115
PMCPMC13622296

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.