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  • PubMed: Enhanced mismatch mutation analysis: simultaneous detection of point mutation

    Syndicated from PubMed RSS Feeds

    Enhanced mismatch mutation analysis: simultaneous detection of point mutations and large scale rearrangements by capillary electrophoresis, application to BRCA1 and BRCA2.

    Methods Mol Biol. 2010;653:147-80

    Authors: Houdayer C, Moncoutier V, Champ J, Weber J, Viovy JL, Stoppa-Lyonnet D

    We present the routine diagnostic application of EMMA (Enhanced Mismatch Mutation Analysis, Fluigent), a new, fast, reliable, and cost-effective method for mutation screening. This method is based on heteroduplex analysis by capillary electrophoresis and relies on the use of innovative matrices increasing the electrophoretic mobility differences between homoduplex and heteroduplex DNA, which is further enhanced by the addition of nucleosides in the separation matrix. Nucleosides interact with heteroduplex mismatched bases, hence increasing mobility difference with homoduplex. As separations are performed by multi-capillary electrophoresis, it allows for high automation, low cost, and high throughput. Moreover, EMMA, in combination with limiting PCR conditions, can be used to achieve the simultaneous detection of point mutation and large scale rearrangement in a single run.We now report on the routine diagnostic use of this method for BRCA1 and BRCA2 screening. The coding sequence and exon-intron junctions of BRCA1 and BRCA2 were amplified in 24 multiplex PCRs using a single condition. PCRs were electrophoresed with a single analytical condition on an ABI3100, and data were analyzed using dedicated software (Emmalys).The strength of this new method relies on the following assets: (1) a single condition of analysis: modeling related to melting domain is not required (2) simultaneous detection of point mutations and large scale rearrangements, (3) optimized and ready-to-use polymer that can be used on various ABI sequencers, (4) easy to use, (5) low reagent costs, and (6) throughput.

    PMID: 20721742 [PubMed - indexed for MEDLINE]



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