Comparisons of three automated systems for genomic DNA extraction in a clinical diagnostic laboratory

Jong Han Lee, Yongjung Park, Jong Rak Choi, Eun Kyung Lee, Hyon Suk Kim

Research output: Contribution to journalArticlepeer-review

50 Citations (Scopus)


Purpose: The extraction of nucleic acid is initially a limiting step for successful molecular-based diagnostic workup. This study aims to compare the effectiveness of three automated DNA extraction systems for clinical laboratory use. Materials and Methods: Venous blood samples from 22 healthy volunteers were analyzed using QIAamp® Blood Mini Kit (Qiagen), MagNA Pure LC Nucleic Acid Isolation Kit I (Roche), and Magtration-Magnazorb DNA common kit-200N (PSS). The concentration of extracted DNAs was measured by NanoDrop ND-1000 (PeqLab). Also, extracted DNAs were confirmed by applying in direct agarose gel electrophoresis and were amplified by polymerase chain reaction (PCR) for human beta-globin gene. Results: The corrected concentrations of extracted DNAs were 25.42 ± 8.82 ng/μL (13.49-52.85 ng/μL) by QIAamp® Blood Mini Kit (Qiagen), and 22.65 ± 14.49 ng/μL (19.18-93.39 ng/μL) by MagNA Pure LC Nucleic Acid Isolation Kit I, and 22.35 ± 6.47 ng/μL (12.57-35.08 ng/μL) by Magtration-Magnazorb DNA common kit-200N (PSS). No statistically significant difference was noticed among the three commercial kits (p > 0.05). Only the mean value of DNA purity through PSS was slightly lower than others. All the extracted DNAs were successfully identified in direct agarose gel electrophoresis. And all the product of beta-globin gene PCR showed a reproducible pattern of bands. Conclusion: The effectiveness of the three automated extraction systems is of an equivalent level and good enough to produce reasonable results. Each laboratory could select the automated system according to its clinical and laboratory conditions.

Original languageEnglish
Pages (from-to)104-110
Number of pages7
JournalYonsei medical journal
Issue number1
Publication statusPublished - 2010 Jan

All Science Journal Classification (ASJC) codes

  • General Medicine


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