Back

Towards a Robust cell-free DNA Isolation Protocol for NGS Applications in a Clinical Molecular Diagnostics Setting

Apweiler, M.; Broche, J.; Loitz, M.; Hackenbruch, L.; Ossowski, S.; Schroeder, C.; Schmit, K. J.

2026-06-24 health systems and quality improvement
10.64898/2026.06.15.26355337 medRxiv
Show abstract

Cell-free DNA (cfDNA), released from apoptotic and necrotic cells into body fluids, represents a non-invasive source of genetic information for disease prediction, diagnosis, and monitoring. However, its low physiological abundance makes cfDNA highly susceptible to pre-analytical influences. In particular, genomic DNA (gDNA) released from lysed white blood cells (WBCs) can contaminate plasma and compromise downstream cfDNA analyses. This study evaluated the impact of different blood collection tubes and isolation methods on cfDNA stability and yield. Blood samples from 13 healthy donors were collected using cfDNA-stabilizing tubes (Cell-Free DNA BCT, Streck; S-Monovette cfDNA Exact, Sarstedt) and stored at room temperature for 1, 5, or 10 days before plasma isolation. CfDNA was extracted using either a magnetic bead-based method or a silica column-based approach. DNA quantity and quality were assessed by fluorometric quantification, automated fragment analysis, and gene-specific quantitative PCR. Streck-based workflows maintained stable cfDNA yields and characteristic mononucleosomal fragmentation profiles across all storage times. In contrast, Sarstedt tubes showed reduced cfDNA concentrations after 5 days and a pronounced increase at 10 Days, accompanied by high-molecular weight DNA patterns consistent with WBC lysis. These trends were largely independent of the extraction method. Overall, the results demonstrate that blood collection tube chemistry critically influences cfDNA integrity during delayed processing. Streck tubes, particularly when combined with QIAamp, provided the most robust and reproducible workflow for routine molecular diagnostics, whereas Sarstedt tubes produced physiologically implausible results after extended storage.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
PLOS ONE
5266 papers in training set
Top 11%
17.4%
2
Clinical Chemistry
22 papers in training set
Top 0.1%
9.9%
3
Scientific Reports
3612 papers in training set
Top 6%
8.1%
4
Frontiers in Digital Health
24 papers in training set
Top 0.1%
6.4%
5
Journal of Clinical Pathology
15 papers in training set
Top 0.1%
6.4%
6
Journal of Medical Virology
140 papers in training set
Top 0.5%
4.4%
50% of probability mass above
7
Analytical Chemistry
218 papers in training set
Top 0.9%
3.3%
8
Journal of Infection
78 papers in training set
Top 0.3%
2.9%
9
Communications Medicine
113 papers in training set
Top 1%
2.5%
10
Frontiers in Bioengineering and Biotechnology
98 papers in training set
Top 0.7%
2.4%
11
Journal of Clinical Virology
63 papers in training set
Top 0.4%
2.1%
12
Cell Reports Methods
165 papers in training set
Top 1%
2.0%
13
Journal of Immunological Methods
24 papers in training set
Top 0.2%
1.7%
14
Forensic Science International: Genetics
26 papers in training set
Top 0.1%
1.4%
15
Sensors
43 papers in training set
Top 0.9%
1.2%
16
Journal of Virological Methods
37 papers in training set
Top 0.3%
1.2%
17
Cancers
213 papers in training set
Top 4%
1.2%
18
Nature Communications
5641 papers in training set
Top 50%
1.2%
19
Lab on a Chip
96 papers in training set
Top 0.9%
1.1%
20
Eurosurveillance
83 papers in training set
Top 0.9%
0.9%
21
Vaccines
198 papers in training set
Top 3%
0.9%
22
Diagnostic Microbiology and Infectious Disease
22 papers in training set
Top 0.3%
0.9%
23
Frontiers in Medicine
120 papers in training set
Top 4%
0.9%
24
Diagnostics
50 papers in training set
Top 2%
0.9%
25
BMC Research Notes
33 papers in training set
Top 1%
0.6%
26
Emerging Infectious Diseases
105 papers in training set
Top 2%
0.6%
27
Clinical Infectious Diseases
235 papers in training set
Top 3%
0.6%
28
Clinical Chemistry and Laboratory Medicine (CCLM)
13 papers in training set
Top 0.1%
0.6%