Evidence map›Paper›PMID 31914926›Full record

ArticleBMC genomics2020

CNCC: an analysis tool to determine genome-wide DNA break end structure at single-nucleotide resolution.

Karol Szlachta, Heather M Raimer, Laurey D Comeau, Yuh-Hwa Wang

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.5field-weighted citation impact, top 38% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Karol SzlachtaDepartment of Biochemistry and Molecular Genetics, University of Virginia, Charlottesville, Virginia, 22903-0733, USA.
Heather M RaimerDepartment of Biochemistry and Molecular Genetics, University of Virginia, Charlottesville, Virginia, 22903-0733, USA.
Laurey D ComeauDepartment of Biochemistry and Molecular Genetics, University of Virginia, Charlottesville, Virginia, 22903-0733, USA.
Yuh-Hwa WangDepartment of Biochemistry and Molecular Genetics, University of Virginia, Charlottesville, Virginia, 22903-0733, USA. yw4b@virginia.edu.ORCID http://orcid.org/0000-0002-9804-9368
University of Virginia · US

Funding

TRAINING IN CELL AND MOLECULAR BIOLOGYT32GM008136 · NIGMS · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI STUKENBERG, P. TODD · 1985 to 2020
$8.5M
Genome-wide DNA Secondary Structure Analysis to Investigate DNA FragilityR01GM101192 · NIGMS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI WANG, YUH-HWA · 2013 to 2024
$2.8M
The Role of Fragile Sites in RET/PTC RearrangementR01CA113863 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI WANG, YUH-HWA · 2006 to 2018
$2.5M
Training in Cell and Molecular BiologyT32GM139787 · NIGMS · UNIVERSITY OF VIRGINIA · PI Bryce Paschal · 2021 to 2026
$2.5M
NCI NIH HHS R01 CA113863NCI NIH HHS RO1CA113863NIGMS NIH HHS R01 GM101192NIGMS NIH HHS RO1GM101192NIGMS NIH HHS T32 GM008136NIGMS NIH HHS T32GM008136NIGMS NIH HHS T32 GM139787
6 · The paper itself

Abstract

backgroundDNA double-stranded breaks (DSBs) are potentially deleterious events in a cell. The end structures (blunt, 3'- and 5'-overhangs) at DSB sites contribute to the fate of their repair and provide critical information concerning the consequences of the damage. Therefore, there has been a recent eruption of DNA break mapping and sequencing methods that aim to map at single-nucleotide resolution where breaks are generated genome-wide. These methods provide high resolution data for the location of DSBs, which can encode the type of end-structure present at these breaks. However, genome-wide analysis of the resulting end structures has not been investigated following these sequencing methods.

resultsTo address this analysis gap, we develop the use of a coverage-normalized cross correlation analysis (CNCC) to process the high-precision genome-wide break mapping data, and determine genome-wide break end structure distributions at single-nucleotide resolution. We take advantage of the single-nucleotide position and the knowledge of strandness from every mapped break to analyze the relative shifts between positive and negative strand encoded break nucleotides. By applying CNCC we can identify the most abundant end structures captured by a break mapping technique, and further can make comparisons between different samples and treatments. We validate our analysis with restriction enzyme digestions of genomic DNA and establish the sensitivity of the analysis using end structures that only exist as a minor fraction of total breaks. Finally, we demonstrate the versatility of our analysis by applying CNCC to the breaks resulting after treatment with etoposide and study the variety of resulting end structures.

conclusionFor the first time, on a genome-wide scale, our analysis revealed the increase in the 5' to 3' end resection following etoposide treatment, and the global progression of the resection. Furthermore, our method distinguished the change in the pattern of DSB end structure with increasing doses of the drug. The ability of this method to determine DNA break end structures without a priori knowledge of break sequences or genomic position should have broad applications in understanding genome instability.

Indexed as

DNA Breaks, Double-StrandedChromosome MappingDNA RepairDNA Topoisomerases, Type IIGenomic InstabilityHumansDNA Topoisomerases, Type IIBreak end typeDNA double-stranded breaksDNA end resectionEtoposide treatmentTopoisomerase II

Identifiers

PMID31914926
PMCPMC6950916
OpenAlexW3006577772

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LicenceCC BY
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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.