Evidence map›Paper›PMID 35711922›Full record

ArticleFrontiers in genetics2022

Detection and Validation of Circular DNA Fragments Using Nanopore Sequencing.

Alicia Isabell Tüns, Till Hartmann, Simon Magin, Rocío Chamorro González, Anton George Henssen, Sven Rahmann, Alexander Schramm, Johannes Köster

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2022. 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
0.8field-weighted citation impact, top 34% 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, 9 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

8 authors at 5 institutions in 1 country.

Alicia Isabell TünsLaboratory of Molecular Oncology, West German Cancer Center, Department of Medical Oncology, University Hospital Essen, Essen, Germany.
Till HartmannAlgorithms for Reproducible Bioinformatics, Institute of Human Genetics, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
Simon MaginInstitute for Artificial Intelligence in Medicine, IKIM, University Hospital Essen, Essen, Germany.
Rocío Chamorro GonzálezDepartment of Pediatric Oncology/Hematology, Charité-Universitätsmedizin Berlin, Berlin, Germany.
Anton George HenssenDepartment of Pediatric Oncology/Hematology, Charité-Universitätsmedizin Berlin, Berlin, Germany.
Sven RahmannCenter for Bioinformatics and Department of Computer Science, Saarland University, Saarbrücken, Germany.
Alexander SchrammLaboratory of Molecular Oncology, West German Cancer Center, Department of Medical Oncology, University Hospital Essen, Essen, Germany.
Johannes KösterAlgorithms for Reproducible Bioinformatics, Institute of Human Genetics, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
Essen University Hospital · DEUniversity of Duisburg-Essen · DEBerlin Institute of Health at Charité - Universitätsmedizin Berlin · DEGerman Cancer Research Center · DESaarland University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Occurrence of extra-chromosomal circular DNA is a phenomenon frequently observed in tumor cells, and the presence of such DNA has been recognized as a marker of adverse outcome across cancer types. We here describe a computational workflow for identification of DNA circles from long-read sequencing data. The workflow is implemented based on the Snakemake workflow management system. Its key step uses a graph-theoretic approach to identify putative circular fragments validated on simulated reads. We then demonstrate robustness of our approach using nanopore sequencing of selectively enriched circular DNA by highly sensitive and specific recovery of plasmids and the mitochondrial genome, which is the only circular DNA in normal human cells. Finally, we show that the workflow facilitates detection of larger circular DNA fragments containing extrachromosomal copies of the MYCN oncogene and the respective breakpoints, which is a potentially useful application in disease monitoring of several cancer types.

Indexed as

algorithmcancercircular DNAnanopore sequencingsnakemake

Identifiers

PMID35711922
PMCPMC9195511
OpenAlexW4281636767

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.