Fragmentation landscape of cell-free DNA revealed by deconvolutional analysis of end motifs

Cell-free DNA (cfDNA) fragmentation is nonrandom, at least partially mediated by various DNA nucleases, forming characteristic cfDNA end motifs. However, there is a paucity of tools for deciphering the relative contributions of cfDNA cleavage patterns related to underlying fragmentation factors. In this study, through non-negative matrix factorization algorithm, we used 256 5' 4-mer end motifs to identify distinct types of cfDNA cleavage patterns, referred to as "founder" end-motif profiles (F-profiles). F-profiles were associated with different DNA nucleases based on whether such patterns were disrupted in nuclease-knockout mouse models. Contributions of individual F-profiles in a cfDNA sample could be determined by deconvolutional analysis. We analyzed 93 murine cfDNA samples of different nuclease-deficient mice and identified six types of F-profiles. F-profiles I, II, and III were linked to deoxyribonuclease 1 like 3 (DNASE1L3), deoxyribonuclease 1 (DNASE1), and DNA fragmentation factor subunit beta (DFFB), respectively. We revealed that 42.9% of plasma cfDNA molecules were attributed to DNASE1L3-mediated fragmentation, whereas 43.4% of urinary cfDNA molecules involved DNASE1-mediated fragmentation. We further demonstrated that the relative contributions of F-profiles were useful to inform pathological states, such as autoimmune disorders and cancer. Among the six F-profiles, the use of F-profile I could inform the human patients with systemic lupus erythematosus. F-profile VI could be used to detect individuals with hepatocellular carcinoma, with an area under the receiver operating characteristic curve of 0.97. F-profile VI was more prominent in patients with nasopharyngeal carcinoma undergoing chemoradiotherapy. We proposed that this profile might be related to oxidative stress.

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - volume:120

Enthalten in:

Proceedings of the National Academy of Sciences of the United States of America - 120(2023), 17 vom: 25. Apr., Seite e2220982120

Sprache:

Englisch

Beteiligte Personen:

Zhou, Ze [VerfasserIn]
Ma, Mary-Jane L [VerfasserIn]
Chan, Rebecca W Y [VerfasserIn]
Lam, W K Jacky [VerfasserIn]
Peng, Wenlei [VerfasserIn]
Gai, Wanxia [VerfasserIn]
Hu, Xi [VerfasserIn]
Ding, Spencer C [VerfasserIn]
Ji, Lu [VerfasserIn]
Zhou, Qing [VerfasserIn]
Cheung, Peter P H [VerfasserIn]
Yu, Stephanie C Y [VerfasserIn]
Teoh, Jeremy Y C [VerfasserIn]
Szeto, Cheuk-Chun [VerfasserIn]
Wong, John [VerfasserIn]
Wong, Vincent W S [VerfasserIn]
Wong, Grace L H [VerfasserIn]
Chan, Stephen L [VerfasserIn]
Hui, Edwin P [VerfasserIn]
Ma, Brigette B Y [VerfasserIn]
Chan, Anthony T C [VerfasserIn]
Chiu, Rossa W K [VerfasserIn]
Chan, K C Allen [VerfasserIn]
Lo, Y M Dennis [VerfasserIn]
Jiang, Peiyong [VerfasserIn]

Links:

Volltext

Themen:

Cancer detection
Cell-Free Nucleic Acids
Deoxyribonucleases
Dnase1l3 protein, mouse
EC 3.1.-
Endodeoxyribonucleases
Endonucleases
Fragmentomics
Journal Article
Liquid biopsy
Non-negative matrix factorization
Oxidative stress
Research Support, Non-U.S. Gov't

Anmerkungen:

Date Completed 21.04.2023

Date Revised 09.05.2023

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1073/pnas.2220982120

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM355789159