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Genotypic mutation analysis by RFLP/PCR

C Pourzand¹, P Cerutti

¹Department of Carcinogenesis, Swiss Institute for Experimental Cancer Research, Epalinges/Lausanne.

Mutation Research

|July 1, 1993

Summary

This study introduces a novel RFLP/PCR method for detecting specific gene mutations. This technique allows for the precise quantification of rare somatic mutations in disease-related genes, crucial for molecular toxicology research.

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Area of Science:

Molecular Biology
Genetics
Biochemistry

Background:

Somatic mutations in disease-related genes often lack detectable phenotypic changes, hindering direct cell isolation or in vitro expansion.
Traditional methods for mutation analysis are insufficient for detecting rare genetic alterations in complex biological samples.

Purpose of the Study:

To develop and validate a sensitive method for detecting and quantifying rare somatic mutations in disease-related genes.
To establish a biochemical approach for mutation analysis that bypasses the need for phenotypic selection.

Main Methods:

The study employed a Restriction Fragment Length Polymorphism (RFLP)/Polymerase Chain Reaction (PCR) strategy for genotypic mutation analysis.
This method involves eliminating wild-type DNA via restriction digestion, followed by amplification of mutation-containing sequences using PCR.
Mutations were quantified using sequencing, oligonucleotide plaque hybridization, and relative to an internal mutant standard.

Main Results:

The RFLP/PCR protocol successfully detected as few as 1-5 mutated DNA copies among 10(7)-10(9) wild-type copies.
The method was validated using plasmid constructs of the human c-H-ras1 protooncogene with specific site mutations.
The protocol was applied to detect N-ethyl-N-nitrosourea-induced mutations in the c-H-ras1 and p53 genes in human skin fibroblasts.

Conclusions:

The RFLP/PCR approach offers a highly sensitive and specific method for quantifying rare genetic mutations.
This technique is a promising tool for applications in molecular toxicology and epidemiology, enabling the study of mutation frequencies in various contexts.

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