Go to The Journal of Clinical Investigation
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact
  • Physician-Scientist Development
  • Current issue
  • Past issues
  • By specialty
    • COVID-19
    • Cardiology
    • Immunology
    • Metabolism
    • Nephrology
    • Oncology
    • Pulmonology
    • All ...
  • Videos
  • Collections
    • In-Press Preview
    • Resource and Technical Advances
    • Clinical Research and Public Health
    • Research Letters
    • Editorials
    • Perspectives
    • Physician-Scientist Development
    • Reviews
    • Top read articles

  • Current issue
  • Past issues
  • Specialties
  • In-Press Preview
  • Resource and Technical Advances
  • Clinical Research and Public Health
  • Research Letters
  • Editorials
  • Perspectives
  • Physician-Scientist Development
  • Reviews
  • Top read articles
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact

Usage Information

Effects of nucleases on cell-free extrachromosomal circular DNA
Sarah T.K. Sin, Jiaen Deng, Lu Ji, Masashi Yukawa, Rebecca W.Y. Chan, Stefano Volpi, Augusto Vaglio, Paride Fenaroli, Paola Bocca, Suk Hang Cheng, Danny K.L. Wong, Kathy O. Lui, Peiyong Jiang, K.C. Allen Chan, Rossa W.K. Chiu, Y.M. Dennis Lo
Sarah T.K. Sin, Jiaen Deng, Lu Ji, Masashi Yukawa, Rebecca W.Y. Chan, Stefano Volpi, Augusto Vaglio, Paride Fenaroli, Paola Bocca, Suk Hang Cheng, Danny K.L. Wong, Kathy O. Lui, Peiyong Jiang, K.C. Allen Chan, Rossa W.K. Chiu, Y.M. Dennis Lo
View: Text | PDF
Research Article Genetics

Effects of nucleases on cell-free extrachromosomal circular DNA

  • Text
  • PDF
Abstract

Cell-free extrachromosomal circular DNA (eccDNA) as a distinct topological form from linear DNA has recently gained increasing research interest, with possible clinical applications as a class of biomarkers. In this study, we aimed to explore the relationship between nucleases and eccDNA characteristics in plasma. By using knockout mouse models with deficiencies in deoxyribonuclease 1 (DNASE1) or deoxyribonuclease 1 like 3 (DNASE1L3), we found that cell-free eccDNA in Dnase1l3−/− mice exhibited larger size distributions than that in wild-type mice. Such size alterations were not found in tissue eccDNA of either Dnase1−/− or Dnase1l3−/− mice, suggesting that DNASE1L3 could digest eccDNA extracellularly but did not seem to affect intracellular eccDNA. Using a mouse pregnancy model, we observed that in Dnase1l3−/− mice pregnant with Dnase1l3+/− fetuses, the eccDNA in the maternal plasma was shorter compared with that of Dnase1l3−/− mice carrying Dnase1l3−/− fetuses, highlighting the systemic effects of circulating fetal DNASE1L3 degrading the maternal eccDNA extracellularly. Furthermore, plasma eccDNA in patients with DNASE1L3 mutations also exhibited longer size distributions than that in healthy controls. Taken together, this study provided a hitherto missing link between nuclease activity and the biological manifestations of eccDNA in plasma, paving the way for future biomarker development of this special form of DNA molecules.

Authors

Sarah T.K. Sin, Jiaen Deng, Lu Ji, Masashi Yukawa, Rebecca W.Y. Chan, Stefano Volpi, Augusto Vaglio, Paride Fenaroli, Paola Bocca, Suk Hang Cheng, Danny K.L. Wong, Kathy O. Lui, Peiyong Jiang, K.C. Allen Chan, Rossa W.K. Chiu, Y.M. Dennis Lo

×

Usage data is cumulative from December 2024 through December 2025.

Usage JCI PMC
Text version 641 195
PDF 123 41
Figure 279 0
Supplemental data 44 7
Citation downloads 98 0
Totals 1,185 243
Total Views 1,428

Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

Advertisement

Copyright © 2025 American Society for Clinical Investigation
ISSN 2379-3708

Sign up for email alerts