qPCR Primer Efficiency Equation:
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Primer efficiency in qPCR refers to the ability of primers to amplify the target sequence during each PCR cycle. It's a crucial parameter for accurate quantification of gene expression.
The calculator uses the primer efficiency equation:
Where:
Explanation: The equation converts the standard curve slope into a measure of amplification efficiency. An ideal slope of -3.32 corresponds to 100% efficiency.
Details: Knowing primer efficiency is essential for accurate relative quantification in qPCR experiments. Efficiency values between 90-110% are generally considered acceptable.
Tips: Enter the slope value obtained from your standard curve. The slope is typically between -3.1 and -3.6 for most qPCR experiments.
Q1: What is an ideal efficiency value?
A: 100% efficiency means the DNA doubles every cycle. Acceptable range is typically 90-110%.
Q2: How do I get the slope value?
A: The slope is obtained from the standard curve plot of Cq values versus log10 of template concentration.
Q3: What affects primer efficiency?
A: Primer design, annealing temperature, template quality, PCR inhibitors, and reaction conditions can all affect efficiency.
Q4: What if my efficiency is outside 90-110%?
A: You may need to redesign primers, optimize reaction conditions, or use efficiency-corrected quantification methods.
Q5: Can I use this for absolute quantification?
A: Yes, efficiency is equally important for both relative and absolute quantification in qPCR.