Precise mapping of single-stranded DNA breaks by sequence-templated erroneous DNA polymerase end-labelling

The ability to analyze whether DNA contains lesions is essential in identifying mutagenic substances. Currently, the detection of single-stranded DNA breaks (SSBs) lacks precision. To address this limitation, we develop a method for sequence-templated erroneous end-labelling sequencing (STEEL-seq), which enables the mapping of SSBs. The method requires a highly error-prone DNA polymerase, so we engineer a chimeric DNA polymerase, Sloppymerase, capable of replicating DNA in the absence of one nucleotide. Following the omission of a specific nucleotide (e.g., dATP) from the reaction mixture, Sloppymerase introduces mismatches directly downstream of SSBs at positions where deoxyadenosine should occur. This mismatch pattern, coupled with the retention of sequence information flanking these sites, ensures that the identified hits are bona fide SSBs. STEEL-seq is compatible with a variety of sequencing technologies, as demonstrated using Sanger, Illumina, PacBio, and Nanopore systems. Using STEEL-seq, we determine the SSB/base pair frequency in the human genome to range between 0.7 and 3.8 × 10<sup>-6</sup> with an enrichment in active promoter regions.

Authors

Institutions

Publication Details

Journal
Nature Communications
Published
2025-08-04
DOI
https://doi.org/10.1038/s41467-025-62512-4
Primary Topic
DNA Repair Mechanisms
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Precise mapping of single-stranded DNA breaks by sequence-templated erroneous DNA polymerase end-labelling

Barış Salman, Anders Sundqvist, Bo Stenerlöw, Johan Heldin et al.
Nature Communications
DNA Repair Mechanisms
article

Precise mapping of single-stranded DNA breaks by sequence-templated erroneous DNA polymerase end-labelling

Barış Salman, Anders Sundqvist, Bo Stenerlöw, Johan Heldin, Erik T. Jansson, Ola Spjuth, Jaime A. Espinoza, Xingqi Chen, Mikael S. Lindström, Johan Lennartsson, Friederike A. Sandbaumhüter, Anton Davidsson, Yücel Erbilgin, Ola Söderberg, Marcel Martin, Wesley Schaal, Leonie Wenson
article en

Abstract

The ability to analyze whether DNA contains lesions is essential in identifying mutagenic substances. Currently, the detection of single-stranded DNA breaks (SSBs) lacks precision. To address this limitation, we develop a method for sequence-templated erroneous end-labelling sequencing (STEEL-seq), which enables the mapping of SSBs. The method requires a highly error-prone DNA polymerase, so we engineer a chimeric DNA polymerase, Sloppymerase, capable of replicating DNA in the absence of one nucleotide. Following the omission of a specific nucleotide (e.g., dATP) from the reaction mixture, Sloppymerase introduces mismatches directly downstream of SSBs at positions where deoxyadenosine should occur. This mismatch pattern, coupled with the retention of sequence information flanking these sites, ensures that the identified hits are bona fide SSBs. STEEL-seq is compatible with a variety of sequencing technologies, as demonstrated using Sanger, Illumina, PacBio, and Nanopore systems. Using STEEL-seq, we determine the SSB/base pair frequency in the human genome to range between 0.7 and 3.8 × 10<sup>-6</sup> with an enrichment in active promoter regions.

Nature CommunicationsVol. 16(1)
Uppsala University (SE), Stockholm University (SE), Science for Life Laboratory (SE), HUN-REN Institute of Experimental Medicine (HU), Istanbul University (TR)
Swedish Cancer Foundation, Cancerfonden, Knut och Alice Wallenbergs Stiftelse, Vetenskapsrådet, Uppsala Universitet, Science for Life Laboratory, Uppsala Multidisciplinary Center for Advanced Computational Science
Openalex Percentile: Top 82%
DNA Repair Mechanisms
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.