Back

Effect of cell isolation magnetic particles on DNA quantification by UV absorbance spectrophotometry

Bajwa, I. U.; Sigaud, S.

2023-04-26 transplantation
10.1101/2023.04.24.23288526 medRxiv
Show abstract

Magnetic particles are commonly used to isolate specific cell types from blood samples. Residual particles present in the genomic DNA extracted from these cells can interfere with concentration measurements by UV absorbance spectrophotometry. In this study, we determined the degree of inaccuracy of DNA quantification by UV spectrophotometry, in the context of the lineage-specific chimerism analysis workflow. We showed that the presence of residual magnetic particles and RNA leads to an overestimation of the DNA concentration.

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

1
Journal of Immunological Methods
○ 24 papers in training set
Top 0.1%
36.5%
2
PLOS ONE
● 5266 papers in training set
Top 15%
12.6%
3
Microbiology Spectrum
● 469 papers in training set
Top 2%
7.2%
50% of probability mass above
4
Journal of Biological Chemistry
○ 690 papers in training set
Top 4%
2.5%
5
Frontiers in Medicine
○ 120 papers in training set
Top 1%
2.3%
6
The Journal of Infectious Diseases
◐ 202 papers in training set
Top 2%
2.3%
7
STAR Protocols
○ 18 papers in training set
Top 0.1%
2.2%
8
Scientific Reports
○ 3612 papers in training set
Top 58%
1.5%
9
BioTechniques
○ 25 papers in training set
Top 0.2%
1.4%
10
Vaccines
○ 198 papers in training set
Top 2%
1.2%
11
eLife
● 5828 papers in training set
Top 55%
1.2%
12
Frontiers in Immunology
○ 638 papers in training set
Top 7%
1.2%
13
F1000Research
○ 88 papers in training set
Top 3%
1.0%
14
Oncotarget
○ 18 papers in training set
Top 0.4%
0.9%
15
Talanta
○ 14 papers in training set
Top 0.3%
0.9%
16
Communications Biology
○ 993 papers in training set
Top 28%
0.9%
17
Epigenetics
○ 50 papers in training set
Top 0.6%
0.9%
18
Analytical Biochemistry
○ 26 papers in training set
Top 0.4%
0.9%
19
Forensic Science International: Genetics
○ 26 papers in training set
Top 0.1%
0.9%
20
New Biotechnology
○ 12 papers in training set
Top 0.2%
0.9%
21
Lab on a Chip
● 96 papers in training set
Top 0.9%
0.9%
22
Life Science Alliance
● 285 papers in training set
Top 7%
0.9%
23
Disease Models & Mechanisms
● 119 papers in training set
Top 3%
0.6%
24
Molecular Oncology
○ 55 papers in training set
Top 1%
0.6%
25
Genome Medicine
○ 183 papers in training set
Top 6%
0.6%
26
Diagnostics
○ 50 papers in training set
Top 2%
0.6%
27
International Journal of Molecular Sciences
○ 494 papers in training set
Top 18%
0.5%
28
Genes
○ 144 papers in training set
Top 5%
0.5%
29
Frontiers in Microbiology
○ 427 papers in training set
Top 10%
0.5%