Literature DB >> 9814434

Detection of basepair substitution mutation at a frequency of 1 x 10(-7) by combining two genotypic selection methods, MutEx enrichment and allele-specific competitive blocker PCR.

B L Parsons1, R H Heflich.   

Abstract

The detection of rare mutations has many important applications, including risk assessment of drugs and chemicals, measuring environmental exposures to genotoxins, and cancer cell detection. A sensitive genotypic selection method has been developed that combines two different mutant allele selection techniques, MutEx enrichment and allele-specific competitive blocker PCR (ACB-PCR). This method was developed and evaluated for the detection of a CAA --> AAA mutation at codon 61 of the mouse H-ras gene. The MutEx enrichment is based on MutS binding to a mismatched basepair in heteroduplex DNA. The bound MutS protects the mutant allele from degradation during subsequent exonuclease treatment. ACB-PCR preferentially amplifies a mutant allele in a PCR reaction using a primer that has more mismatches to the wild-type allele than the mutant allele. By combining these two approaches, the codon 61 mutation was detected at mutant fractions as low as 1 in 10(7). This sensitivity was achieved with the thermostable Thermus aquaticus MutS protein but not the Escherichia coli MutS protein. Using the combined approach, the average Pfu DNA polymerase error rate +/- the standard error of the mean for this particular basepair was estimated to be 8 +/- 3 x 10(-7) errors per duplication. The results indicate that MutEx/ACB-PCR is among the most sensitive genotypic selection methods for the detection of mutation.

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Year:  1998        PMID: 9814434

Source DB:  PubMed          Journal:  Environ Mol Mutagen        ISSN: 0893-6692            Impact factor:   3.216


  4 in total

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3.  Towards Automation for Molecular Diagnosis of Cancer.

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Journal:  EJIFCC       Date:  2005-05-17

4.  Analysis of cancer mutation signatures in blood by a novel ultra-sensitive assay: monitoring of therapy or recurrence in non-metastatic breast cancer.

Authors:  Zhenbin Chen; Jinong Feng; Carolyn H Buzin; Qiang Liu; Lawrence Weiss; Kemp Kernstine; George Somlo; Steve S Sommer
Journal:  PLoS One       Date:  2009-09-28       Impact factor: 3.240

  4 in total

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