Robust and Precise Quantitative Real-Time Polymerase Chain Reaction with an Amplification Efficiency-Aware Reaction...

Area of Science:

• Molecular Biology
• Biochemistry
• Bioinformatics

Background:

• Quantitative real-time PCR (qPCR) is vital for nucleic acid testing in various organisms.
• Conventional qPCR methods lack precision, leading to misdiagnoses and false negatives, particularly highlighted during the COVID-19 pandemic.
• Accurate qPCR analysis is crucial for reliable disease detection and management.

Purpose of the Study:

• To develop a novel qPCR data analysis method for enhanced accuracy and precision.
• To introduce an amplification efficiency-aware reaction kinetics model (AERKM) to improve qPCR results.
• To provide a more robust understanding of qPCR reaction dynamics.

Main Methods:

• Developed an amplification efficiency-aware reaction kinetics model (AERKM).
• Mathematically modeled reaction kinetics to describe amplification efficiency changes during qPCR.
• Incorporated amplification efficiency (AE) to rectify fitted data against real reaction processes.
• Validated AERKM using 5-point, 10-fold gradient qPCR tests across 63 genes.

Main Results:

• AERKM demonstrated a 0.9% slope bias and an 8.2% ratio bias.
• Performance metrics significantly exceeded existing models by over 4.1% and 39.4%, respectively.
• Achieved higher precision, reduced data fluctuation, and exhibited better robustness across different nucleic acids.

Conclusions:

• AERKM offers a significant improvement in qPCR data analysis accuracy and reliability.
• The model provides deeper insights into the qPCR process, aiding disease detection and prevention.
• Enhanced qPCR precision supports better management of severe diseases.