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Related Concept Videos

Real Time RT-PCR02:57

Real Time RT-PCR

Real-time reverse transcription-polymerase chain reaction, or Real-time RT-PCR, is an analytical tool used to determine the expression level of target genes. The method involves converting mRNA to complementary DNA with the help of an enzyme known as reverse transcriptase, followed by the PCR amplification of the cDNA. These two processes can be performed simultaneously in a single tube or separately as a two-step reaction.
The real-time quantification of the number of amplified products is...

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Related Experiment Video

Updated: May 10, 2026

A PCR-based Genotyping Method to Distinguish Between Wild-type and Ornamental Varieties of Imperata cylindrica
12:01

A PCR-based Genotyping Method to Distinguish Between Wild-type and Ornamental Varieties of Imperata cylindrica

Published on: February 20, 2012

Simulation of collaborative studies for real-time PCR-based quantitation methods for genetically modified crops.

Satoshi Watanabe1, Hiroshi Sawada, Shigehiro Naito

  • 1SOMATECH Center, House Foods Corporation, 1-4 Takanodai, Yotsukaido, Chiba 284-0033, Japan. s-watanabe@housefoods.co.jp

Journal of AOAC International
|June 18, 2013
PubMed
Summary

Optimizing quantitative PCR (qPCR) for genetically modified (GM) crops can double sample analysis by reducing well replications and standard levels. This maintains high precision for collaborative studies of GM crop detection methods.

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Area of Science:

  • Agricultural Biotechnology
  • Molecular Biology
  • Genetics

Background:

  • Quantitative methods for genetically modified (GM) crops are crucial for regulatory and commercial purposes.
  • Real-time PCR with standard curves is a common method for GM crop quantitation.
  • Collaborative studies are essential for validating the precision and reproducibility of these methods.

Purpose of the Study:

  • To develop random effects models to assess the impact of various factors on the precision of GM crop quantitation.
  • To optimize parameters for standard curve-based relative real-time PCR methods used in collaborative studies.
  • To identify key sources of variability affecting the accuracy of GM crop detection.

Main Methods:

  • Developed random effects models for cycle time values in real-time PCR.
  • Utilized data from a published collaborative study involving six GM lines at four concentration levels.
  • Simulated collaborative studies under varied conditions using the developed models.

Main Results:

  • Reducing well replications from three to two and standard levels from five to three nearly doubled the number of analyzable unknown samples.
  • Acceptable repeatability (RSDr ≤ 25%) and reproducibility (RSDR < 35%) were maintained with reduced parameters.
  • Variability in blind replicates significantly impacted precision, while DNA extraction had minimal influence.

Conclusions:

  • The developed models provide a framework for optimizing real-time PCR quantitation methods for GM crops.
  • Parameter adjustments can significantly enhance the efficiency of collaborative studies without compromising accuracy.
  • Understanding sources of random effects is key to improving the robustness of GM crop detection methods.