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Accurate and Precise DNA Quantification in the Presence of Different Amplification Efficiencies Using an Improved Cy0 Method

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  • Michele Guescini
  • Davide Sisti
  • Marco B L Rocchi
  • Renato Panebianco
  • Pasquale Tibollo
  • Vilberto Stocchi

Abstract

Quantitative real-time PCR represents a highly sensitive and powerful technology for the quantification of DNA. Although real-time PCR is well accepted as the gold standard in nucleic acid quantification, there is a largely unexplored area of experimental conditions that limit the application of the Ct method. As an alternative, our research team has recently proposed the Cy0 method, which can compensate for small amplification variations among the samples being compared. However, when there is a marked decrease in amplification efficiency, the Cy0 is impaired, hence determining reaction efficiency is essential to achieve a reliable quantification. The proposed improvement in Cy0 is based on the use of the kinetic parameters calculated in the curve inflection point to compensate for efficiency variations. Three experimental models were used: inhibition of primer extension, non-optimal primer annealing and a very small biological sample. In all these models, the improved Cy0 method increased quantification accuracy up to about 500% without affecting precision. Furthermore, the stability of this procedure was enhanced integrating it with the SOD method. In short, the improved Cy0 method represents a simple yet powerful approach for reliable DNA quantification even in the presence of marked efficiency variations.

Suggested Citation

  • Michele Guescini & Davide Sisti & Marco B L Rocchi & Renato Panebianco & Pasquale Tibollo & Vilberto Stocchi, 2013. "Accurate and Precise DNA Quantification in the Presence of Different Amplification Efficiencies Using an Improved Cy0 Method," PLOS ONE, Public Library of Science, vol. 8(7), pages 1-11, July.
  • Handle: RePEc:plo:pone00:0068481
    DOI: 10.1371/journal.pone.0068481
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    Cited by:

    1. Agustin Gonzalez-Vicente & Jeffrey L Garvin & Ulrich Hopfer, 2018. "Transcriptome signature for dietary fructose-specific changes in rat renal cortex: A quantitative approach to physiological relevance," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-23, August.
    2. Linzhong Zhang & Rui Dong & Shu Wei & Han-Chen Zhou & Meng-Xian Zhang & Karthikeyan Alagarsamy, 2019. "A novel data processing method CyC* for quantitative real time polymerase chain reaction minimizes cumulative error," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-20, June.

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