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Real Time RT-PCR

Real Time RT-PCR

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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Updated: Jun 9, 2025

qPCRTag Analysis - A High Throughput, Real Time PCR Assay for Sc2.0 Genotyping

qPCRTag Analysis - A High Throughput, Real Time PCR Assay for Sc2.0 Genotyping

Published on: May 25, 2015

Brief guide to RT-qPCR.

Dajeong Bong¹, Jooyeon Sohn¹, Seung-Jae V Lee¹

¹Department of Biological Sciences, Korea Advanced Institute of Science and Technology, 291 Daehak-ro, Yuseong-gu, Daejeon 34141, South Korea.

Molecules and Cells

|October 30, 2024

Summary

This summary is machine-generated.

Learn about Reverse Transcription-Quantitative Polymerase Chain Reaction (RT-qPCR), a key method for RNA quantification. This guide covers essential reagents, primer design, workflow, and data analysis for successful gene expression studies.

Keywords:

RNA quantification Reverse transcription-quantitative polymerase chain reaction

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Published on: August 3, 2011

Area of Science:

Molecular Biology
Genetics
Biochemistry

Background:

Accurate RNA quantification is vital for understanding gene expression and regulation.
Reverse Transcription-Quantitative Polymerase Chain Reaction (RT-qPCR) is a standard technique for RNA quantification due to its practicality, sensitivity, and specificity.

Purpose of the Study:

To provide a comprehensive overview of RT-qPCR methodology.
To guide scientists, particularly those new to the technique, on successful RNA quantification.

Main Methods:

Overview of essential reagents for RT-qPCR.
Emphasis on critical primer design considerations.
Detailed explanation of the RT-qPCR workflow.
Description of data analysis methods for RNA quantification.

Main Results:

Successful RNA quantification relies on careful selection of reagents and optimal primer design.
Adherence to a detailed workflow and appropriate data analysis are crucial for accurate results.
The guide highlights key factors for achieving reliable RT-qPCR outcomes.

Conclusions:

RT-qPCR is a powerful and versatile tool for quantitative gene expression analysis.
This guide serves as a valuable resource for researchers aiming to implement or optimize RT-qPCR experiments.
Mastering RT-qPCR techniques ensures accurate insights into biological processes at the RNA level.