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PCR

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PCR - Polymerase Chain Reaction

PCR - Polymerase Chain Reaction

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Updated: Jun 4, 2026

Polymerase Chain Reaction: Basic Protocol Plus Troubleshooting and Optimization Strategies

Polymerase Chain Reaction: Basic Protocol Plus Troubleshooting and Optimization Strategies

Published on: May 22, 2012

Setting up a PCR laboratory.

Theodore E Mifflin

|March 2, 2011

Summary

Polymerase chain reaction (PCR) is a powerful molecular biology tool but is prone to contamination. This guide details establishing a PCR laboratory for reliable, contamination-free amplification results.

Area of Science:

Molecular Biology
Biochemistry

Background:

Polymerase chain reaction (PCR) has become a fundamental technique in molecular biology laboratories since its development in 1985.
PCR offers significant advantages, including the amplification of minute quantities of nucleic acids (DNA and RNA).
A key limitation of PCR is its high susceptibility to contamination from amplification products.

Purpose of the Study:

To provide guidance on establishing a Polymerase chain reaction (PCR) laboratory.
To outline operational procedures for achieving reliable and contamination-free results in PCR experiments.

Main Methods:

The article focuses on the principles and practical considerations for setting up a PCR laboratory.
It emphasizes strategies to mitigate contamination risks inherent in PCR procedures.

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Polymerase Chain Reaction: Basic Protocol Plus Troubleshooting and Optimization Strategies

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Development of a Quantitative Recombinase Polymerase Amplification Assay with an Internal Positive Control

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Main Results:

The development of PCR has revolutionized molecular biology by enabling sensitive nucleic acid amplification.
Understanding and addressing PCR's susceptibility to contamination is crucial for experimental validity.

Conclusions:

Implementing specific laboratory practices is essential for obtaining dependable and uncontaminated PCR outcomes.
This article serves as a resource for researchers aiming to optimize their PCR workflows and ensure data integrity.