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Real Time RT-PCR02:57

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The real-time quantification of the number of amplified products is...
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Development of a Quantitative Recombinase Polymerase Amplification Assay with an Internal Positive Control
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Reducing Bias and Quantifying Uncertainty in Fluorescence Produced by PCR.

Robert F DeJaco1,2, Matthew J Roberts3,4, Erica L Romsos5

  • 1Applied and Computational Mathematics Division, National Institute of Standards and Technology, 100 Bureau Dr., MS 8910, Gaithersburg, MD, 20899-8910, USA. rdejaco@compactmembrane.com.

Bulletin of Mathematical Biology
|August 13, 2023
PubMed
Summary

This study introduces a novel method linking nucleic acid amounts to fluorescence in real-time Polymerase Chain Reaction (PCR) assays. The approach quantifies fluorescence uncertainty, improving accuracy for DNA and RNA detection.

Keywords:
Real-time polymerase chain reactionStochastic branching processUncertainty quantification

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Area of Science:

  • Molecular Biology
  • Biophysics
  • Biostatistics

Background:

  • Real-time Polymerase Chain Reaction (PCR) assays measure nucleic acid amplification through fluorescence.
  • Current methods may have bias and lack robust uncertainty quantification.
  • Accurate quantification is crucial for diagnostics and research.

Purpose of the Study:

  • To develop a new approach for relating nucleic acid concentration to fluorescence in real-time PCR.
  • To reduce bias and quantify uncertainty in fluorescence measurements.
  • To enable uncertainty quantification in PCR (UQ-PCR).

Main Methods:

  • Coupling a two-type branching process for PCR with a fluorescence analog of Beer's Law.
  • Distinguishing between complementary DNA strands for stoichiometric reaction descriptions.
  • Analyzing expected copy-number and variance to identify amplification dynamics and sources of error.

Main Results:

  • The approach provides a stoichiometric description of probe-DNA reactions and captures initial RNA assay conditions.
  • Identified dynamics at low cycle numbers and quantified contributions from volume transfer, amplification imperfections, and strand-specific synthesis.
  • Established analytical relationships between amplification efficiency and limit of detection through uncertainty quantification.

Conclusions:

  • The developed method reduces bias and quantifies fluorescence uncertainty in real-time PCR.
  • This framework enables a priori background fluorescence description and improved limit of detection analysis.
  • The work paves the way for UQ-PCR, quantifying both input copy-number and its uncertainty from fluorescence kinetics.