Literature DB >> 15932626

Mitochondrial mutation detection using enhanced multiplex denaturing high-performance liquid chromatography.

A Bayat1, J Walter, H Lamb, M Marino, M W J Ferguson, W E R Ollier.   

Abstract

In this study, we investigated the presence of mutations within the mitochondrial genome in 40 Caucasian subjects using an enhanced multiplex denaturing high-performance liquid chromatography (DHPLC) approach. The enhanced DHPLC approach has increased sensitivity and throughput, and reduced analysis time per individual sample compared to conventional methods. This technique involved amplifying the mitochondrial genome in 18 fragments ranging in size from 300 to 2000 bp using a novel proofreading polymerase (Optimase, Transgenomic Inc., Omaha, NE) with a low misincorporation rate. Fourteen of these fragments underwent subsequent restriction digestion using a combination of five restriction enzymes to enable multiplex DHPLC analysis; the remaining four underwent conventional DHPLC. Using this complete mitochondrial genome-screening approach, we confirmed a number of previously reported mutations and additionally identified a large number of novel mutations using an enhanced DHPLC technique.

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Year:  2005        PMID: 15932626     DOI: 10.1111/j.1744-313X.2005.00508.x

Source DB:  PubMed          Journal:  Int J Immunogenet        ISSN: 1744-3121            Impact factor:   1.466


  2 in total

1.  Pitfalls in the denaturing high-performance liquid chromatography analysis of mitochondrial DNA mutation.

Authors:  Kok Seong Lim; Robert K Naviaux; Scott Wong; Richard H Haas
Journal:  J Mol Diagn       Date:  2007-12-28       Impact factor: 5.568

2.  The mitochondrial DNA control region shows genetically correlated levels of heteroplasmy in leukocytes of centenarians and their offspring.

Authors:  Giuseppina Rose; Giuseppe Passarino; Vittorio Scornaienchi; Giuseppe Romeo; Serena Dato; Dina Bellizzi; Vincenzo Mari; Emidio Feraco; Raffaele Maletta; Amalia Bruni; Claudio Franceschi; Giovanna De Benedictis
Journal:  BMC Genomics       Date:  2007-08-29       Impact factor: 3.969

  2 in total

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