Literature DB >> 16272483

Automated extraction of viral-pathogen RNA and DNA for high-throughput quantitative real-time PCR.

Kurt Beuselinck1, Marc van Ranst, J van Eldere.   

Abstract

The performance of the m1000 system (Abbott Laboratories, Illinois) as a front-end extraction system for high-throughput "in-house" quantitative real-time PCR assays was analyzed and compared to that of manual extraction of plasma and serum samples (hepatitis C virus [HCV] and hepatitis B virus [HBV]) and EDTA-blood samples (cytomegalovirus [CMV] and Epstein-Barr virus [EBV]). Linearity of extraction was tested on dilution series of HCV and HBV reference materials. The correlation coefficient for standard curves based on repeated extraction runs was 0.97 +/- 0.06 for HCV and 0.97 +/- 0.03 for HBV, indicating a linear extraction from 100 to 1.0 x 10(5) HCV IU/ml and from 100 to 1.0 x 10(6) HBV IU/ml. Intra- and interrun variability was below 0.23 log(10) IU/ml for 2.98 to 5.28 log(10) HCV IU/ml and 2.70 to 5.20 log(10) HBV IU/ml. Correlation between automated and manual extraction was very good. For HCV, the correlation coefficient was 0.91 and the mean difference in viral load was 0.13 log(10) HCV IU/ml. For HBV, the correlation coefficient was 0.98 and the mean difference in viral load 0.61 log(10) HBV IU/ml. For CMV and EBV, the correlation coefficient was 0.98 and the mean difference in viral load 0.33 log(10) copies/ml. Accuracy was confirmed with a reference panel (QCMD, Glasgow, Scotland) for all four assays. No cross-contamination was observed when extracting strongly positive polyomavirus samples (8.10 log(10) copies/ml) interspersed with polyomavirus-negative samples. Automated extraction via the m1000 system offers a high reliability of extraction and resulted in a strong reduction of the required extraction hands-on time for high-throughput PCR compared to manual extraction protocols.

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Year:  2005        PMID: 16272483      PMCID: PMC1287800          DOI: 10.1128/JCM.43.11.5541-5546.2005

Source DB:  PubMed          Journal:  J Clin Microbiol        ISSN: 0095-1137            Impact factor:   5.948


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