If you are performing quantitative PCR (qPCR), it is very important to know and understand what the ct value is. In this month’s newsletter we will discuss the critical role of the ct value in qPCR, its changing nomenclature, how it is calculated and what happens when things sometimes go wrong.

All Nomenclature

We would like to emphasize that a ct value has been given many names over the years as technology has developed and changed, including the ones listed below. These values are all the same, although their meaning may be a bit strange when translated into Turkish. To standardize qPCR terminology, MIQE (Minimum Information guidelines for the Publication of Quantitative Real-Time PCR Assays) recommends the use of the Cq value.

Ct – (threshold cycle) threshold cycle

Cp – (crossing point) crossing point

TOP – (take-off point) take-off point

Cq – (quantification cycle) quantification cycle

What is this Cq Value?

Real-time PCR (qPCR) is used to measure the absolute amount of a target sequence or to compare the relative amounts of a target sequence between samples. This technique is monitored in real time by amplification of a specific fluorescent signal that binds to the target sequence. Although fluorescent probes are sequence-specific, background fluorescence can also occur during most qPCR experiments. It is crucial to be able to ignore or account for these background signals if we want to gather meaningful information about the target sequence. This problem is addressed by two factors in qPCR: Threshold line and Cq value.

Threshold is the point at which the target sequence reaches a detection-level fluorescence intensity. It is the signal that reflects a statistically significant increase, which can be calculated automatically or manually.

The Cq value is the number of PCR cycles where the reaction curve of the sample intersects the threshold line. The qPCR instrument software calculates and plots the Cq value for each sample. Cq is used to calculate the starting DNA copy number because the Cq value is inversely proportional to the starting amount of the target. At the end of each cycle your qPCR instrument will collect the fluorescence data and the fluorescence signal that you see as a straight line from the first PCR cycle until about 15 PCR cycles will start to show logarithmic amplification, rising above the threshold line after the 15th cycle.

Figure. Threshold level and Cq-value in a real-time PCR amplification curve.

Cq Factors affecting the value of

There are many factors that can influence this value.

Fluorescence emission can be affected by pH and salt concentration in a solution. You should therefore ensure that you use high-quality PCR components that are not expired and have been stored under appropriate conditions.
– If you are using passive reference dyes such as ROX , the ratio of ROX to FAM dye will determine the reaction values. A low amount of ROX produces a high reaction value.
PCR efficiency depends on the specificity of the primers, the temperature of the primer Tm and the initial concentration and purity of the sample. An efficiency above 90% is acceptable for PCR efficiency. We can detect a perfect PCR when the cq difference between 10-fold dilutions is approximately 3.3 cycles.
Again , a correlation coefficient (R²) of 1 indicates that the PCR study was excellent.
– When working on the standard curve, working at least 4 points with 3 repetitions will provide you with the healthiest results.
– For RNA/cDNA studies, you should keep the area sterile at all times to avoid RNAse contamination and avoid freeze-thawing samples.

References

1. Bustin SA, et al. The MIQE guidelines: minimum information for publication of quantitative real-time PCR experiments. Clin Chem. 2009. 55(4):611-22. doi: 10.1373/clinchem.2008.112797.
2. C. Schrader, et al. PCR inhibitorsoccurrence, properties and removal. J AppliedMicrobiology. 113(5):1014-26. doi: 10.1111/j.1365-2672.2012.05384.x