Evidence map›Paper›PMID 41724384›Full record

ArticleThe Journal of biological chemistry2026

An enhancement of extrachromosomal circular DNA enrichment and amplification to address the extremely low overlap between replicates.

Charles M Burnham, Alongkorn Kurilung, Visanu Wanchai, Birgitte Regenberg, Jesus Delgado-Calle, Alexei G Basnakian, Intawat Nookaew

Abstract read
In one paragraph

Article in The Journal of biological chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Charles M BurnhamDepartment of Biomedical Informatics, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA; Department of Physiology and Cell Biology, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA; Department of Pharmacology and Toxicology, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA.
Alongkorn KurilungDepartment of Biomedical Informatics, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA; Center for Musculoskeletal Disease Research, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA.
Visanu WanchaiDepartment of Biomedical Informatics, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA; Center for Musculoskeletal Disease Research, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA.
Birgitte RegenbergDepartment of Biology, University of Copenhagen, Copenhagen, Denmark.
Jesus Delgado-CalleDepartment of Physiology and Cell Biology, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA; Center for Musculoskeletal Disease Research, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA; Winthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA.; Department of Orthopedic Surgery, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA.
Alexei G BasnakianDepartment of Pharmacology and Toxicology, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA.
Intawat NookaewDepartment of Biomedical Informatics, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA; Department of Physiology and Cell Biology, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA; Center for Musculoskeletal Disease Research, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA; Division of Endocrinology, Department of Internal Medicine, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA; Department of Biochemistry, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand. Electronic address: INookaew@uams.edu.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extrachromosomal circular DNA (eccDNA) of chromosomal origin is present in all eukaryotic organisms and tissues that have been tested. Populations of eccDNA exhibit immense diversity and a characteristically low degree of overlap between samples, suggesting low inheritance of eccDNA between cells or a deficiency in the methods by which eccDNA is detected. This study revisits the Circle-Seq approach for enrichment of eccDNA to address these limitations, hypothesizing that experimental procedures significantly contribute to the observed low eccDNA overlap. We optimized the protocol by reducing the time needed to complete the procedure. Linear DNA is digested by increasing Exonuclease V activity. We employed CRISPR-Cas9 for mitochondrial linearization, which proved superior to using restriction enzymes. A key finding is the critical role of random hexamer primer concentration and genomic DNA input in rolling circle amplification (RCA) for generating high-quality long concatemeric tandem copy amplicons from eccDNA, essential for confident de novo eccDNA construction from long-read sequencing data. Lower primer concentrations substantially increased the percentage of concatemer-derived eccDNA and improved the overlap of identified eccDNAs in technical replicates. Applying this revised approach to human myeloma and breast cancer cell lines, as well as xenograft models, demonstrated >50% overlap in detected eccDNA, a substantial improvement over the <1% overlap observed in previous studies. Additionally, the oncogenic signature of eccDNAs can be identified across all replicates. These findings provide guidelines for developing standardized procedures for eccDNA profiling, advancing our understanding of eccDNA biology, and its potential clinical applications.

Indexed as

DNA, CircularNucleic Acid Amplification TechniquesAnimalsCRISPR-Cas SystemsExtrachromosomal DNAFemaleHumansDNA, CircularExtrachromosomal DNACRISPR-Cas9exonuclease Vextrachromosomal circular DNA (eccDNA)long-read sequencingoverlapprimerrolling circle amplification (RCA)

Identifiers

PMID41724384
PMCPMC13014928

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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.