Untargeted CUT&Tag reads are enriched at accessible chromatin and restrict identification of potential G4-forming sequences in G4-targeted CUT&Tag experiments

G-quadruplex DNA structures (G4s) form within single-stranded DNA in nucleosome-free chromatin. G4s modulate gene expression and genomic stability, so high-throughput, genome-wide mapping of G4s has generated strong research interest and methodological innovation. Recently, the Cleavage Under Targets and Tagmentation (CUT&Tag) method has been adapted to map G4s using an antibody, a nanobody, and G4-binding small molecules to target Tn5 tagmentation to G4s. These novel methods have generated high-resolution maps of G4s, but we have observed a strong colocalization between untargeted and G4-targeted CUT&Tag signal enrichment, leading us to wonder whether this colocalized signal enrichment would impact G4 mapping using these methods. We observed that the genome-wide signal distribution of untargeted CUT&Tag libraries was highly correlated with that of both cell-line-matched ATAC-seq libraries and cell-line-matched G4-mapping CUT&Tag libraries. When peaks were called from G4-mapping CUT&Tag libraries using the SEACR algorithm with inclusion of the respective matched untargeted CUT&Tag libraries, certain peaks at potential G4-forming sequences were excluded, slightly enhancing precision with which G4s are mapped while limiting recall of potential G4s. Consequently, we recommend that care be exercised when interpreting G4-targeted CUT&Tag experiments unless untargeted tagmentation is taken into account or minimized through protocol optimization.

Authors

Institutions

Publication Details

Journal
Nucleic Acids Research
Published
2025-07-19
DOI
https://doi.org/10.1093/nar/gkaf678
Citations
7
Primary Topic
Genomics and Chromatin Dynamics
Type
article
Field-Weighted Citation Impact
5.64

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Untargeted CUT&Tag reads are enriched at accessible chromatin and restrict identification of potential G4-forming sequences in G4-targeted CUT&Tag experiments

Alicia K. Byrd, Matthew D. Thompson
7 citations
Nucleic Acids Research
Genomics and Chromatin Dynamics
5.64
article

Untargeted CUT&Tag reads are enriched at accessible chromatin and restrict identification of potential G4-forming sequences in G4-targeted CUT&Tag experiments

Alicia K. Byrd, Matthew D. Thompson
article en
7 citations

Abstract

G-quadruplex DNA structures (G4s) form within single-stranded DNA in nucleosome-free chromatin. G4s modulate gene expression and genomic stability, so high-throughput, genome-wide mapping of G4s has generated strong research interest and methodological innovation. Recently, the Cleavage Under Targets and Tagmentation (CUT&Tag) method has been adapted to map G4s using an antibody, a nanobody, and G4-binding small molecules to target Tn5 tagmentation to G4s. These novel methods have generated high-resolution maps of G4s, but we have observed a strong colocalization between untargeted and G4-targeted CUT&Tag signal enrichment, leading us to wonder whether this colocalized signal enrichment would impact G4 mapping using these methods. We observed that the genome-wide signal distribution of untargeted CUT&Tag libraries was highly correlated with that of both cell-line-matched ATAC-seq libraries and cell-line-matched G4-mapping CUT&Tag libraries. When peaks were called from G4-mapping CUT&Tag libraries using the SEACR algorithm with inclusion of the respective matched untargeted CUT&Tag libraries, certain peaks at potential G4-forming sequences were excluded, slightly enhancing precision with which G4s are mapped while limiting recall of potential G4s. Consequently, we recommend that care be exercised when interpreting G4-targeted CUT&Tag experiments unless untargeted tagmentation is taken into account or minimized through protocol optimization.

Nucleic Acids ResearchVol. 53(14)
Winthrop Rockefeller Foundation (US), University of Arkansas for Medical Sciences (US)
National Institutes of Health
Openalex Percentile: Top 4%
Genomics and Chromatin Dynamics
5.64
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.