Literature DB >> 15639196

Mutation screening of the mitochondrial genome using denaturing high-performance liquid chromatography.

Andrew Biggin1, Robert Henke, Bruce Bennetts, David R Thorburn, John Christodoulou.   

Abstract

Over 170 known mutations of the mitochondrial genome are responsible for disease. Due to the unique features of mitochondrial genetics, such patients are clinically diverse and difficult to diagnose. As pathogenic mitochondrial DNA (mtDNA) mutations are mostly heteroplasmic, denaturing high-performance liquid chromatography (DHPLC) could be used to detect these heteroplasmic species and therefore act as a rapid screening test for mtDNA mutations. The entire mitochondrial genome was amplified by PCR in 40 overlapping regions. In addition, known mtDNA mutants were constructed for each of these regions using a PCR-based site-directed mutagenesis approach. These mutants were used as positive controls and showed a detection limit of 3-10% heteroplasmy by DHPLC (depending on the specific mutation) compared to 40% for conventional sequencing. To further validate the screening test, mtDNA from 17 patients with seven different pathogenic mutations was used to compare mutation detection by DHPLC and conventional sequencing. DHPLC had a sensitivity of 88% compared to 82% for sequencing. This increased to 100% sensitivity for DHPLC when excluding the m.8993T>G mutation. DHPLC analysis is therefore a sensitive, rapid and cost-effective method to screen for mutations in the mitochondrial genome. The role of pyrosequencing in the quantitation of mutant load for known mtDNA mutations was highlighted using the m.3243A>G mutation as an illustrative example. Pyrosequencing analysis was able to discriminate samples containing as little as 5% heteroplasmy and proved to be an accurate and reproducible method for estimation of mutant load.

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Year:  2004        PMID: 15639196     DOI: 10.1016/j.ymgme.2004.09.011

Source DB:  PubMed          Journal:  Mol Genet Metab        ISSN: 1096-7192            Impact factor:   4.797


  10 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.  Association of mtDNA D-loop polymorphisms with risk of gastric cancer in Chinese population.

Authors:  Li Wei; Yong Zhao; Tian-kang Guo; Pei-qiang Li; Hua Wu; Han-bing Xie; Ke-jun Ma; Feng Gao; Xiao-dong Xie
Journal:  Pathol Oncol Res       Date:  2011-04-02       Impact factor: 3.201

3.  Rapid and sensitive real-time polymerase chain reaction method for detection and quantification of 3243A>G mitochondrial point mutation.

Authors:  Rinki Singh; Sian Ellard; Andrew Hattersley; Lorna W Harries
Journal:  J Mol Diagn       Date:  2006-05       Impact factor: 5.568

4.  Detection of common disease-causing mutations in mitochondrial DNA (mitochondrial encephalomyopathy, lactic acidosis with stroke-like episodes MTTL1 3243 A>G and myoclonic epilepsy associated with ragged-red fibers MTTK 8344A>G) by real-time polymerase chain reaction.

Authors:  Hongxin Fan; Chris Civalier; Jessica K Booker; Margaret L Gulley; Thomas W Prior; Rosann A Farber
Journal:  J Mol Diagn       Date:  2006-05       Impact factor: 5.568

5.  Detection of low levels of the mitochondrial tRNALeu(UUR) 3243A>G mutation in blood derived from patients with diabetes.

Authors:  Vincent Procaccio; Nicolas Neckelmann; Veronique Paquis-Flucklinger; Sylvie Bannwarth; Richard Jimenez; Antonio Davila; Jason C Poole; Douglas C Wallace
Journal:  Mol Diagn Ther       Date:  2006       Impact factor: 4.074

6.  Heteroplasmy Detection of Mitochondrial DNA A3243G Mutation Using Quantitative Real-Time PCR Assay Based on TaqMan-MGB Probes.

Authors:  Enguang Rong; Hanbo Wang; Shujing Hao; Yuhong Fu; Yanyan Ma; Tianze Wang
Journal:  Biomed Res Int       Date:  2018-11-13       Impact factor: 3.246

Review 7.  The mitochondrial genome, a growing interest inside an organelle.

Authors:  Marco Crimi; Roberta Rigolio
Journal:  Int J Nanomedicine       Date:  2008

8.  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

9.  Identification and Clinical Characterization of Adult Patients with Multigenerational Diabetes Mellitus.

Authors:  Ornella Ludovico; Massimo Carella; Luigi Bisceglia; Giorgio Basile; Sandra Mastroianno; Antonio Palena; Salvatore De Cosmo; Massimiliano Copetti; Sabrina Prudente; Vincenzo Trischitta
Journal:  PLoS One       Date:  2015-08-19       Impact factor: 3.240

10.  Interference of Co-amplified nuclear mitochondrial DNA sequences on the determination of human mtDNA heteroplasmy by Using the SURVEYOR nuclease and the WAVE HS system.

Authors:  Hsiu-Chuan Yen; Shiue-Li Li; Wei-Chien Hsu; Petrus Tang
Journal:  PLoS One       Date:  2014-03-24       Impact factor: 3.240

  10 in total

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