Related Experiment Video
Updated: Mar 6, 2026

Parallel High Throughput Single Molecule Kinetic Assay for Site-Specific DNA Cleavage
Published on: May 6, 2020
Kinetic analysis, size profiling, and bioenergetic association of DNA released by selected cell lines in vitro
Janine Aucamp1, Abel J Bronkhorst2, Dimetrie L Peters2
1Human Metabolomics, North-West University, Hoffman Street, Potchefstroom, 2520, South Africa. aucampj@telkomsa.net.
Abstract:
Although circulating DNA (cirDNA) analysis shows great promise as a screening tool for a wide range of pathologies, numerous stumbling blocks hinder the rapid translation of research to clinical practice. This is related directly to the inherent complexity of the in vivo setting, wherein the influence of complex systems of interconnected cellular responses and putative DNA sources creates a seemingly arbitrary representation of the quantitative and qualitative properties of the cirDNA in the blood of any individual. Therefore, to evaluate the potential of in vitro cell cultures to circumvent the difficulties encountered in in vivo investigations, the purpose of this work was to elucidate the characteristics of the DNA released [cell-free DNA (cfDNA)] by eight different cell lines. This revealed three different forms of cfDNA release patterns and the presence of nucleosomal fragments as well as actively released forms of DNA, which are not only consistently observed in every tested cell line, but also in plasma samples. Correlations between cfDNA release and cellular origin, growth rate, and cancer status were also investigated by screening and comparing bioenergetics flux parameters. These results show statistically significant correlations between cfDNA levels and glycolysis, while no correlations between cfDNA levels and oxidative phosphorylation were observed. Furthermore, several correlations between growth rate, cancer status, and dependency on aerobic glycolysis were observed. Cell cultures can, therefore, successfully serve as closed-circuit models to either replace or be used in conjunction with biofluid samples, which will enable sharper focus on specific cell types or DNA origins.
Insights
Analyzing cell-free DNA (cfDNA) in blood is promising but complex. This study found cell cultures can model cfDNA release patterns and correlate with cellular metabolism, aiding research into diseases.
Area of Science:
- Molecular Biology
- Biochemistry
- Genomics
Background:
- Circulating DNA (cirDNA) analysis holds potential for disease screening but faces challenges due to the complex in vivo environment.
- The in vivo setting involves intricate cellular responses and diverse DNA sources, complicating the interpretation of cirDNA properties.
- Understanding cell-free DNA (cfDNA) release mechanisms is crucial for advancing diagnostic applications.
Purpose of the Study:
- To investigate the characteristics of cell-free DNA (cfDNA) released by various cell lines.
- To evaluate the utility of in vitro cell cultures as models for studying cfDNA release.
- To explore correlations between cfDNA release patterns, cellular bioenergetics, growth rate, and cancer status.
Main Methods:
- Analysis of cfDNA released from eight different cell lines.
- Characterization of cfDNA forms, including nucleosomal fragments and actively released DNA.
- Screening and comparison of bioenergetics flux parameters (glycolysis, oxidative phosphorylation) in relation to cfDNA levels.
Main Results:
- Identified three distinct cfDNA release patterns consistently observed across all tested cell lines and in plasma samples.
- Found statistically significant correlations between cfDNA levels and glycolysis, but not oxidative phosphorylation.
- Observed correlations between cellular growth rate, cancer status, and dependency on aerobic glycolysis.
Conclusions:
- In vitro cell cultures serve as effective closed-circuit models for studying cfDNA release.
- Cellular bioenergetics, particularly glycolysis, are linked to cfDNA release.
- These models can complement biofluid samples, allowing focused investigation of specific cell types or DNA origins in disease research.
More Related Videos
12:54Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation
Published on: March 7, 2018
11:00Live Cell Cycle Analysis of Drosophila Tissues using the Attune Acoustic Focusing Cytometer and Vybrant DyeCycle Violet DNA Stain
Published on: May 19, 2013