The cycle threshold, or Ct, is the point at which fluorescence from amplified product becomes detectable above the assay’s measurement baseline. A lower Ct generally indicates that more target RNA was present at the start, because fewer amplification cycles were needed to produce a measurable signal. Researchers use Ct values to compare starting target amounts between biological samples or experimental conditions.
Reverse transcription converts the RNA present in a sample into complementary DNA, creating a template that can undergo PCR amplification. This step connects the original transcript abundance to the later fluorescence signal and Ct measurement. Because the assay begins with RNA but amplifies a DNA copy, reverse transcription is central to studying gene expression and detecting RNA viruses.
Each amplification cycle uses three coordinated stages. Denaturation separates the DNA strands, primer annealing enables sequence-specific binding, and extension produces new DNA from the bound primers. Repeating these stages increases the amount of the selected genetic sequence, while real-time fluorescence tracks that accumulation. Together, the cycle structure enables sequence-specific detection and quantitative comparison.
Real-time fluorescence reveals how amplified product accumulates during successive cycles instead of providing only a final product amount. The instrument can therefore identify when each sample crosses the detection threshold and estimate its starting RNA quantity from that cycle. This kinetic readout supports comparisons among samples and experimental conditions, particularly when biological responses change over time.
A typical workflow begins with RNA, converts it into complementary DNA, and then amplifies selected genetic sequences through repeated PCR cycles. The instrument records fluorescence as product accumulates and determines a cycle threshold for the target. Researchers can then use those measurements to compare transcript abundance across samples, conditions, or time points.
Researchers may use qRT-PCR after transcriptomic analysis to examine selected RNA targets with a focused quantitative assay. This approach allows particular gene-expression changes identified in a broader transcriptomic experiment to be compared across experimental conditions. It is also useful for investigating cellular regulation, disease mechanisms, and biological changes over time when specific transcripts require closer analysis.