Literature DB >> 21234877

Analysis of mitochondrial DNA point mutation heteroplasmy by ARMS quantitative PCR.

Jing Wang1, Victor Venegas, Fangyuan Li, Lee-Jun Wong.   

Abstract

Mitochondrial disorders are a group of complex and heterogeneous diseases that may be caused by molecular defects in both the nuclear and mitochondrial genomes. Pathogenic mitochondrial DNA (mtDNA) mutations are usually present in the heteroplasmic form. The degree of mtDNA mutation heteroplasmy (mutation load) varies among different tissues. Manifestation of clinical phenotypes depends on the mutation load in affected tissues. Thus, it is important to quantify the degree of mutation heteroplasmy in various tissues. This unit outlines the design of allele refractory mutation system (ARMS)-based quantitative PCR (qPCR) analysis of three common mtDNA point mutations. This is a cost-effective and sensitive single-step method to simultaneously detect and quantify heteroplasmic mtDNA point mutations. It requires as little as 0.1 ng of total genomic DNA per reaction and can be used to quantify mutation heteroplasmy in various noninvasively obtained tissues such as hair follicles, buccal swab, and urine sediment. Detailed protocols for ARMS primer design and qPCR set up, validation procedures, and cautions in the interpretation of results, as well as advantages and limitations are discussed. ARMS qPCR is an important tool for addressing some of the diagnostic challenges of mitochondrial disease.
© 2011 by John Wiley & Sons, Inc.

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Year:  2011        PMID: 21234877     DOI: 10.1002/0471142905.hg1906s68

Source DB:  PubMed          Journal:  Curr Protoc Hum Genet        ISSN: 1934-8258


  8 in total

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Journal:  Discov Med       Date:  2012-12       Impact factor: 2.970

Review 2.  Use of Next-Generation Sequencing for Identifying Mitochondrial Disorders.

Authors:  Shafi Mahmud; Suvro Biswas; Shamima Afrose; Mohasana Akter Mita; Md Robiul Hasan; Mst Sharmin Sultana Shimu; Gobindo Kumar Paul; Sanghyun Chung; Md Abu Saleh; Sultan Alshehri; Momammed M Ghoneim; Maha Alruwaily; Bonglee Kim
Journal:  Curr Issues Mol Biol       Date:  2022-02-27       Impact factor: 2.976

3.  Nuclear genome transfer in human oocytes eliminates mitochondrial DNA variants.

Authors:  Daniel Paull; Valentina Emmanuele; Keren A Weiss; Nathan Treff; Latoya Stewart; Haiqing Hua; Matthew Zimmer; David J Kahler; Robin S Goland; Scott A Noggle; Robert Prosser; Michio Hirano; Mark V Sauer; Dieter Egli
Journal:  Nature       Date:  2012-12-19       Impact factor: 49.962

Review 4.  Molecular genetic testing for mitochondrial disease: from one generation to the next.

Authors:  Elizabeth McCormick; Emily Place; Marni J Falk
Journal:  Neurotherapeutics       Date:  2013-04       Impact factor: 7.620

5.  Mitochondrial genome sequence analysis: a custom bioinformatics pipeline substantially improves Affymetrix MitoChip v2.0 call rate and accuracy.

Authors:  Hongbo M Xie; Juan C Perin; Theodore G Schurr; Matthew C Dulik; Sergey I Zhadanov; Joseph A Baur; Michael P King; Emily Place; Colleen Clarke; Michael Grauer; Jonathan Schug; Avni Santani; Anthony Albano; Cecilia Kim; Vincent Procaccio; Hakon Hakonarson; Xiaowu Gai; Marni J Falk
Journal:  BMC Bioinformatics       Date:  2011-10-19       Impact factor: 3.307

6.  Real-Time PCR Quantification of Heteroplasmy in a Mouse Model with Mitochondrial DNA of C57BL/6 and NZB/BINJ Strains.

Authors:  Thiago Simões Machado; Carolina Habermann Macabelli; Juliano Rodrigues Sangalli; Thiago Bittencourt Rodrigues; Lawrence Charles Smith; Flávio Vieira Meirelles; Marcos Roberto Chiaratti
Journal:  PLoS One       Date:  2015-08-14       Impact factor: 3.240

7.  Constitutive activation of the PI3K-Akt-mTORC1 pathway sustains the m.3243 A > G mtDNA mutation.

Authors:  Chih-Yao Chung; Kritarth Singh; Vassilios N Kotiadis; Gabriel E Valdebenito; Jee Hwan Ahn; Emilie Topley; Joycelyn Tan; William D Andrews; Benoit Bilanges; Robert D S Pitceathly; Gyorgy Szabadkai; Mariia Yuneva; Michael R Duchen
Journal:  Nat Commun       Date:  2021-11-04       Impact factor: 14.919

8.  Whole Exome Sequencing Is the Preferred Strategy to Identify the Genetic Defect in Patients With a Probable or Possible Mitochondrial Cause.

Authors:  Tom E J Theunissen; Minh Nguyen; Rick Kamps; Alexandra T Hendrickx; Suzanne C E H Sallevelt; Ralph W H Gottschalk; Chantal M Calis; Alphons P M Stassen; Bart de Koning; Elvira N M Mulder-Den Hartog; Kees Schoonderwoerd; Sabine A Fuchs; Yvonne Hilhorst-Hofstee; Marianne de Visser; Jo Vanoevelen; Radek Szklarczyk; Mike Gerards; Irenaeus F M de Coo; Debby M E I Hellebrekers; Hubert J M Smeets
Journal:  Front Genet       Date:  2018-10-12       Impact factor: 4.599

  8 in total

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