Evidence map›Paper›PMID 30393778›Full record

ArticleCommunications biology2018

i-BLESS is an ultra-sensitive method for detection of DNA double-strand breaks.

Anna Biernacka, Yingjie Zhu, Magdalena Skrzypczak, Romain Forey, Benjamin Pardo, Marta Grzelak, Jules Nde, Abhishek Mitra, Andrzej Kudlicki, Nicola Crosetto and 3 more

Abstract read
In one paragraph

Article in Communications biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Article
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  5. Article
  6. Article
  7. CRISPR and gene editing technologies for bleeding disorders.Therapeutic advances in hematology · 2025
    Review
  8. Article
  9. Chemical Insights into Oxidative and Nitrative Modifications of DNA.International journal of molecular sciences · 2023
    Review
  10. Review
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
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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

13 authors.

Anna BiernackaLaboratory of Bioinformatics and Systems Biology, Centre of New Technologies, University of Warsaw, 02-089, Warsaw, Poland.ORCID http://orcid.org/0000-0002-0080-5947
Yingjie ZhuDepartment of Biochemistry and Molecular Biology, University of Texas Medical Branch at Galveston, Galveston, TX, 77555, USA.ORCID http://orcid.org/0000-0003-1849-6019
Magdalena SkrzypczakLaboratory of Bioinformatics and Systems Biology, Centre of New Technologies, University of Warsaw, 02-089, Warsaw, Poland.ORCID http://orcid.org/0000-0002-3336-0403
Romain ForeyInstitut de Génétique Humaine, CNRS, Université de Montpellier, 34396, Montpellier, France.
Benjamin PardoInstitut de Génétique Humaine, CNRS, Université de Montpellier, 34396, Montpellier, France.
Marta GrzelakLaboratory of Bioinformatics and Systems Biology, Centre of New Technologies, University of Warsaw, 02-089, Warsaw, Poland.ORCID http://orcid.org/0000-0002-2653-2895
Jules NdeDepartment of Biochemistry and Molecular Biology, University of Texas Medical Branch at Galveston, Galveston, TX, 77555, USA.ORCID http://orcid.org/0000-0002-1571-5637
Abhishek MitraInstitute for Translational Sciences, University of Texas Medical Branch at Galveston, Galveston, TX, 77555, USA.
Andrzej KudlickiDepartment of Biochemistry and Molecular Biology, University of Texas Medical Branch at Galveston, Galveston, TX, 77555, USA.
Nicola CrosettoScience for Life Laboratory, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, SE-17165, Sweden.
Philippe PaseroInstitut de Génétique Humaine, CNRS, Université de Montpellier, 34396, Montpellier, France.
Maga RowickaDepartment of Biochemistry and Molecular Biology, University of Texas Medical Branch at Galveston, Galveston, TX, 77555, USA.ORCID http://orcid.org/0000-0002-4011-071X
Krzysztof GinalskiLaboratory of Bioinformatics and Systems Biology, Centre of New Technologies, University of Warsaw, 02-089, Warsaw, Poland. k.ginalski@cent.uw.edu.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
NIGMS NIH HHS R01 GM112131
6 · The paper itself

Abstract

Maintenance of genome stability is a key issue for cell fate that could be compromised by chromosome deletions and translocations caused by DNA double-strand breaks (DSBs). Thus development of precise and sensitive tools for DSBs labeling is of great importance for understanding mechanisms of DSB formation, their sensing and repair. Until now there has been no high resolution and specific DSB detection technique that would be applicable to any cells regardless of their size. Here, we present i-BLESS, a universal method for direct genome-wide DNA double-strand break labeling in cells immobilized in agarose beads. i-BLESS has three key advantages: it is the only unbiased method applicable to yeast, achieves a sensitivity of one break at a given position in 100,000 cells, and eliminates background noise while still allowing for fixation of samples. The method allows detection of ultra-rare breaks such as those forming spontaneously at G-quadruplexes.

Identifiers

PMID30393778
PMCPMC6208412

What OpenQuestion holds

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Registered trials

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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.