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Shape based kinetic outlier detection in real-time PCR.

Davide Sisti1, Michele Guescini, Marco B L Rocchi

  • 1Dipartimento DiSUAN, Sezione di Biomatematica, Università degli Studi di Urbino Carlo Bo, Campus Scientifico Sogesta; Località Crocicchia - 61029 Urbino, Italy. davide.sisti@uniurb.it

BMC Bioinformatics
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Summary

A new strategy, Sample outlier detection (SOD), analyzes amplification curve shapes to identify outlier samples in real-time PCR. SOD is more sensitive than current methods for detecting outliers caused by inhibitors, improving quantification reliability.

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Area of Science:

  • Molecular Biology
  • Biotechnology
  • Genomics

Background:

  • Real-time PCR is the preferred method for nucleic acid quantification.
  • Accurate quantification relies on the assumption of similar PCR efficiency between samples.
  • Biological sample components can inhibit PCR kinetics, affecting quantification accuracy.

Purpose of the Study:

  • To introduce a novel strategy, Sample outlier detection (SOD), for identifying outlier samples in real-time PCR.
  • To assess SOD's ability to detect outliers caused by PCR inhibitors.
  • To compare SOD's performance against existing methods.

Main Methods:

  • Richards function was used to parameterize amplification curves from fluorescence readings.
  • Amplification curve parameters (plateau, slope, inflection point) were analyzed.
  • SOD compared parameters of unknown samples to standards to detect outliers.

Main Results:

  • Amplification parameters did not correlate with input DNA, providing a unique fingerprint for each curve.
  • SOD effectively identified outlier profiles affected by inhibitors like tannic acid, IgG, and quercitin.
  • SOD demonstrated higher sensitivity than the current KOD method, with comparable specificity.

Conclusions:

  • Outlier detection in real-time PCR can be based on amplification curve shape, not solely PCR efficiency.
  • SOD offers improved real-time PCR analysis by reducing data variance.
  • This leads to more reliable nucleic acid quantification.