PCR Efficiency Formula:
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PCR efficiency refers to the percentage of template DNA that is amplified in each cycle of the polymerase chain reaction. It is a critical parameter that determines the accuracy and reliability of quantitative PCR results.
The calculator uses the PCR efficiency formula:
Where:
Explanation: The formula converts the slope of the standard curve into amplification efficiency, where 100% efficiency represents perfect doubling of DNA in each cycle.
Details: Accurate PCR efficiency calculation is essential for reliable quantification of gene expression, validation of qPCR assays, and ensuring the accuracy of relative quantification methods like the ΔΔCt method.
Tips: Enter the slope value obtained from your standard curve. The slope should be a negative value typically ranging from -3.0 to -3.6 for optimal efficiency (90-110%).
Q1: What is the ideal PCR efficiency?
A: The ideal PCR efficiency is 100%, meaning the DNA doubles perfectly each cycle. Typically, efficiencies between 90-110% are considered acceptable.
Q2: How is the slope obtained?
A: The slope is derived from a standard curve plot where Ct values are plotted against the logarithm of template concentration.
Q3: What does a slope of -3.32 indicate?
A: A slope of -3.32 corresponds to 100% efficiency, indicating perfect doubling of DNA in each PCR cycle.
Q4: Why is high PCR efficiency important?
A: High and consistent PCR efficiency ensures accurate quantification, better assay sensitivity, and more reliable comparison between different samples and experiments.
Q5: What factors affect PCR efficiency?
A: Primer design, template quality, reaction conditions, enzyme performance, and inhibitor presence can all affect PCR efficiency.