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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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Related Experiment Video

Updated: May 25, 2026

Single-cell Gene Expression Profiling Using FACS and qPCR with Internal Standards

Single-cell Gene Expression Profiling Using FACS and qPCR with Internal Standards

Published on: February 25, 2017

Tissue expression profiling using real-time PCR.

Jay C Strum¹, Kevin M Carrick, Joan S Stuart

¹GlaxoSmithKline, Research Triangle Park, North Carolina, USA.

Current Protocols in Pharmacology

|February 2, 2012

Summary

This summary is machine-generated.

Real-time PCR enables precise gene expression quantification. This method profiles mRNA in human tissues to understand gene roles in health and disease.

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Profiling of Pre-micro RNAs and microRNAs using Quantitative Real-time PCR (qPCR) Arrays

Profiling of Pre-micro RNAs and microRNAs using Quantitative Real-time PCR (qPCR) Arrays

Published on: December 3, 2010

Area of Science:

Molecular Biology
Genetics
Biotechnology

Background:

Real-time PCR (polymerase chain reaction) is a powerful technique for quantifying nucleic acids.
Gene expression profiling is crucial for understanding cellular function and disease mechanisms.

Purpose of the Study:

To describe a protocol for determining relative mRNA abundance in human tissues.
To utilize real-time PCR for comprehensive gene expression analysis across various tissues.

Main Methods:

Utilized real-time PCR instrumentation for high-throughput sample analysis (up to 384 samples).
Developed a protocol for accurate mRNA quantification in a panel of human tissues.

Main Results:

Established a method for rapid and accurate gene expression quantitation.
Generated tissue expression profiles for genes of interest.

Conclusions:

Tissue expression profiles offer insights into gene functions in normal physiology.
Comparing normal and diseased tissue profiles can reveal gene involvement in pathology.