Assessing the performance capabilities of LRE-based assays for absolute quantitative real-time PCR

Area of Science:

• Molecular Biology
• Biochemistry
• Analytical Chemistry

Background:

• Linear regression of efficiency (LRE) offers a novel method for absolute quantification in PCR.
• This technique bypasses the need for standard curves, providing high accuracy and single-molecule sensitivity.

Purpose of the Study:

• To introduce and validate LRE as a method for absolute quantification in real-time PCR.
• To demonstrate the versatility and accuracy of LRE across various experimental conditions.

Main Methods:

• Adapting the Boltzmann sigmoidal function to PCR to calculate target quantity from fluorescence readings.
• Utilizing SYBR Green I for optical calibration, independent of GC content and amplicon size.
• Introducing lambda amplicons as universal quantitative standards and performance benchmarks.

Main Results:

• LRE analysis visually demonstrates PCR modeling and maintains quantitative accuracy down to single target molecules.
• Fluorescence intensity (FU/bp) is independent of amplicon characteristics, enabling absolute scale establishment.
• Target quantification below ten molecules aligns with Poisson distribution predictions.

Conclusions:

• LRE facilitates absolute quantification with minimal resources, using lambda gDNA as a universal standard.
• The quantitative and quality control features of LRE have the potential to revolutionize real-time qPCR.
• This kinetic-based approach offers a transformative shift in conducting real-time quantitative PCR.