Evidence map›Paper›PMID 31127121›Full record

ArticleNature communications2019

qDSB-Seq is a general method for genome-wide quantification of DNA double-strand breaks using sequencing.

Yingjie Zhu, Anna Biernacka, Benjamin Pardo, Norbert Dojer, Romain Forey, Magdalena Skrzypczak, Bernard Fongang, Jules Nde, Razie Yousefi, Philippe Pasero and 2 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
3.0field-weighted citation impact, top 8% of its field
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

36 citing papers in PubMed, 57 citations in OpenAlex.

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  10. Highly sensitive mapping ofbioRxiv : the preprint server for biology · 2024
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  15. RAD51-mediated R-loop formation acts to repair transcription-associated DNA breaks driving antigenic variation inProceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  16. Review
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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

12 authors at 4 institutions in 3 countries.

Yingjie ZhuDepartment of Biochemistry and Molecular Biology, University of Texas Medical Branch at Galveston, 301 University Boulevard, Galveston, Texas, 77555, USA.ORCID http://orcid.org/0000-0003-1849-6019
Anna BiernackaLaboratory of Bioinformatics and Systems Biology, Centre of New Technologies, University of Warsaw, Zwirki i Wigury 93, 02-089, Warsaw, Poland.ORCID http://orcid.org/0000-0002-0080-5947
Benjamin PardoInstitut de Génétique Humaine, CNRS, Equipe Labellisée Ligue contre le Cancer, Université de Montpellier, 141 rue de la Cardonille, Montpellier, 34396, France.
Norbert DojerDepartment of Biochemistry and Molecular Biology, University of Texas Medical Branch at Galveston, 301 University Boulevard, Galveston, Texas, 77555, USA.ORCID http://orcid.org/0000-0001-5653-1167
Romain ForeyInstitut de Génétique Humaine, CNRS, Equipe Labellisée Ligue contre le Cancer, Université de Montpellier, 141 rue de la Cardonille, Montpellier, 34396, France.
Magdalena SkrzypczakLaboratory of Bioinformatics and Systems Biology, Centre of New Technologies, University of Warsaw, Zwirki i Wigury 93, 02-089, Warsaw, Poland.
Bernard FongangDepartment of Biochemistry and Molecular Biology, University of Texas Medical Branch at Galveston, 301 University Boulevard, Galveston, Texas, 77555, USA.
Jules NdeDepartment of Biochemistry and Molecular Biology, University of Texas Medical Branch at Galveston, 301 University Boulevard, Galveston, Texas, 77555, USA.
Razie YousefiDepartment of Biochemistry and Molecular Biology, University of Texas Medical Branch at Galveston, 301 University Boulevard, Galveston, Texas, 77555, USA.
Philippe PaseroInstitut de Génétique Humaine, CNRS, Equipe Labellisée Ligue contre le Cancer, Université de Montpellier, 141 rue de la Cardonille, Montpellier, 34396, France.
Krzysztof GinalskiLaboratory of Bioinformatics and Systems Biology, Centre of New Technologies, University of Warsaw, Zwirki i Wigury 93, 02-089, Warsaw, Poland.
Maga RowickaDepartment of Biochemistry and Molecular Biology, University of Texas Medical Branch at Galveston, 301 University Boulevard, Galveston, Texas, 77555, USA. Maga.Rowicka@utmb.edu.ORCID http://orcid.org/0000-0002-4011-071X
The University of Texas Medical Branch at Galveston · USCentre National de la Recherche Scientifique · FRUniversity of Warsaw · PLWarsaw University of Technology · PL

Funding

Decoding Genome Instability by Combining Accurate Mapping and Predictive ModelingR01GM112131 · NIGMS · UNIVERSITY OF TEXAS MED BR GALVESTON · PI ROWICKA, MAGA MALGORZATA · 2014 to 2023
$3.2M
Fundacja na rzecz Nauki Polskiej (Foundation for Polish Science) TEAM/2016-2Ligue Contre le Cancer Equipe labeliséeNIGMS NIH HHS R01 GM112131U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) R01 GM112131
6 · The paper itself

Abstract

DNA double-strand breaks (DSBs) are among the most lethal types of DNA damage and frequently cause genome instability. Sequencing-based methods for mapping DSBs have been developed but they allow measurement only of relative frequencies of DSBs between loci, which limits our understanding of the physiological relevance of detected DSBs. Here we propose quantitative DSB sequencing (qDSB-Seq), a method providing both DSB frequencies per cell and their precise genomic coordinates. We induce spike-in DSBs by a site-specific endonuclease and use them to quantify detected DSBs (labeled, e.g., using i-BLESS). Utilizing qDSB-Seq, we determine numbers of DSBs induced by a radiomimetic drug and replication stress, and reveal two orders of magnitude differences in DSB frequencies. We also measure absolute frequencies of Top1-dependent DSBs at natural replication fork barriers. qDSB-Seq is compatible with various DSB labeling methods in different organisms and allows accurate comparisons of absolute DSB frequencies across samples.

Indexed as

DNA Breaks, Double-StrandedCell Line, TumorComputational BiologyDNA ReplicationDNA Topoisomerases, Type IGenome, FungalGenome, HumanHumansSaccharomycetalesWhole Genome SequencingDNA Topoisomerases, Type ITOP1 protein, human

Identifiers

PMID31127121
PMCPMC6534554
OpenAlexW2945551528

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.