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Related Concept Videos

Real Time RT-PCR02:57

Real Time RT-PCR

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Real-time reverse transcription-polymerase chain reaction, or Real-time RT-PCR, is an analytical tool used to determine the expression level of target genes. The method involves converting mRNA to complementary DNA with the help of an enzyme known as reverse transcriptase, followed by the PCR amplification of the cDNA. These two processes can be performed simultaneously in a single tube or separately as a two-step reaction.
The real-time quantification of the number of amplified products is...
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PCR01:32

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CtNorm: Real time PCR cycle of threshold (Ct) normalization algorithm.

Amin Ramezani1

  • 1Shiraz Institute for Cancer Research, School of Medicine, Shiraz University of Medical Science, Shiraz, Iran; Department of Medical Biotechnology, School of Advanced Medical Sciences and Technologies, Shiraz University of Medical Sciences, Shiraz, Iran.

Journal of Microbiological Methods
|June 11, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces CtNorm, an algorithm that normalizes quantitative real-time PCR (qRT-PCR) data across different runs. CtNorm ensures consistent amplification efficiency and threshold values for accurate gene expression analysis.

Keywords:
Amplification efficiencyCT normalizationReal time PCRThreshold

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Area of Science:

  • Molecular Biology
  • Bioinformatics
  • Quantitative Biology

Background:

  • Accurate relative quantification using quantitative real-time PCR (qRT-PCR) relies on consistent amplification efficiency and threshold values across all samples and runs.
  • Variations between experimental runs can introduce errors in gene expression analysis, complicating comparisons between treated and control groups.

Purpose of the Study:

  • To develop an algorithm, CtNorm, for normalizing qRT-PCR data from multiple runs into a single, comparable dataset.
  • To standardize amplification efficiency to 100% and equalize threshold values across different experimental runs.

Main Methods:

  • Designed two formulas: one to adjust amplification efficiency to 100% and another to normalize data across runs.
  • Developed the CtNorm algorithm integrating these formulas.
  • Validated CtNorm using qRT-PCR data from four human internal control genes across separate runs.

Main Results:

  • The CtNorm algorithm successfully normalized Ct values from separate qRT-PCR runs, making them comparable to data generated in a single run.
  • Normalization eliminated run-to-run variations, aligning average Ct values across different experiments.
  • The algorithm effectively converted amplification efficiencies to 100%.

Conclusions:

  • CtNorm provides a robust method for equalizing qRT-PCR data across multiple runs using identical standard samples.
  • This algorithm enhances the accuracy of both absolute and relative gene expression quantification by standardizing experimental conditions.
  • An online version of CtNorm is available for broader accessibility in molecular biology research.