Evidence map›Paper›PMID 35030991›Full record

ArticleBMC bioinformatics2022

ECCsplorer: a pipeline to detect extrachromosomal circular DNA (eccDNA) from next-generation sequencing data.

Ludwig Mann, Kathrin M Seibt, Beatrice Weber, Tony Heitkam

Open access · goldAbstract read
In one paragraph

Article in BMC bioinformatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
5.9field-weighted citation impact, top 2% 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, 1 synthesis or guideline pooled it, 63 citations in OpenAlex.

  1. Pooled it
  2. Article
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  4. Article
  5. Review
  6. Fast and accurate resolution of ecDNA sequence using Cycle-Extractor.bioRxiv : the preprint server for biology · 2026
    Article
  7. Review
  8. Article
  9. Review
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  11. Review
  12. Article
  13. Article
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  15. Extrachromosomal DNA in cancer.Nature reviews. Cancer · 2024
    Review
  16. Article
  17. Article
  18. Article
  19. 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

4 authors at 1 institution in 1 country.

Ludwig MannInstitute of Botany, Technische Universität Dresden, 01069, Dresden, Germany.ORCID http://orcid.org/0000-0001-8756-8106
Kathrin M SeibtInstitute of Botany, Technische Universität Dresden, 01069, Dresden, Germany.ORCID http://orcid.org/0000-0002-5435-2381
Beatrice WeberInstitute of Botany, Technische Universität Dresden, 01069, Dresden, Germany.ORCID http://orcid.org/0000-0003-4012-4430
Tony HeitkamInstitute of Botany, Technische Universität Dresden, 01069, Dresden, Germany. tony.heitkam@tu-dresden.de.ORCID http://orcid.org/0000-0003-0168-8428
Technische Universität Dresden · DE

Funding

bundesministerium für bildung und forschung 031B0224Bdeutsche forschungsgemeinschaft HE 7194/2-1fachagentur nachwachsende rohstoffe 22002216
6 · The paper itself

Abstract

backgroundExtrachromosomal circular DNAs (eccDNAs) are ring-like DNA structures physically separated from the chromosomes with 100 bp to several megabasepairs in size. Apart from carrying tandemly repeated DNA, eccDNAs may also harbor extra copies of genes or recently activated transposable elements. As eccDNAs occur in all eukaryotes investigated so far and likely play roles in stress, cancer, and aging, they have been prime targets in recent research-with their investigation limited by the scarcity of computational tools.

resultsHere, we present the ECCsplorer, a bioinformatics pipeline to detect eccDNAs in any kind of organism or tissue using next-generation sequencing techniques. Following Illumina-sequencing of amplified circular DNA (circSeq), the ECCsplorer enables an easy and automated discovery of eccDNA candidates. The data analysis encompasses two major procedures: first, read mapping to the reference genome allows the detection of informative read distributions including high coverage, discordant mapping, and split reads. Second, reference-free comparison of read clusters from amplified eccDNA against control sample data reveals specifically enriched DNA circles. Both software parts can be run separately or jointly, depending on the individual aim or data availability. To illustrate the wide applicability of our approach, we analyzed semi-artificial and published circSeq data from the model organisms Homo sapiens and Arabidopsis thaliana, and generated circSeq reads from the non-model crop plant Beta vulgaris. We clearly identified eccDNA candidates from all datasets, with and without reference genomes. The ECCsplorer pipeline specifically detected mitochondrial mini-circles and retrotransposon activation, showcasing the ECCsplorer's sensitivity and specificity.

conclusionThe ECCsplorer (available online at https://github.com/crimBubble/ECCsplorer ) is a bioinformatics pipeline to detect eccDNAs in any kind of organism or tissue using next-generation sequencing data. The derived eccDNA targets are valuable for a wide range of downstream investigations-from analysis of cancer-related eccDNAs over organelle genomics to identification of active transposable elements.

Indexed as

DNADNA, CircularChromosomesCytoplasmHigh-Throughput Nucleotide SequencingHumansDNADNA, CircularcircDNAcircSeqeccDNAExtrachromosomal circular DNAMitochondrial minicircleMobilome-seqTE activity

Identifiers

PMID35030991
PMCPMC8760651
OpenAlexW4225716595

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.