Literature DB >> 12747586

The use of denaturing high-performance liquid chromatography (DHPLC) for the analysis of genetic variations: impact for diagnostics and pharmacogenetics.

Felix W Frueh1, Mario Noyer-Weidner.   

Abstract

Over the past five years, denaturing high-performance liquid chromatography (DHPLC) has emerged as one of the most versatile technologies for the analysis of genetic variations. With the benefit of novel polymer chemistries used for separation, the accuracy, sensitivity, and the throughput of DHPLC for DNA and RNA analysis have greatly improved. DHPLC has been adopted in many laboratories for the screening of mutations and single-nucleotide polymorphisms (SNPs). The ability of DHPLC to detect known and unknown mutations simultaneously has put this technology at the forefront of genetic analysis for a wide variety of diseases. In addition, the high sensitivity of DHPLC combined with the accuracy of the heteroduplex analysis has allowed the development of applications beyond the scope of traditional sequencing or genotyping, e.g., the early detection of cancer. This article reviews the methods, which made DHPLC a widely used tool for diagnosis in molecular genetics and pharmacogenetics. The article provides an overview of current applications in these fields and points to novel applications in areas like epigenetics and the analysis of heteroplasmic mitochondrial DNA, in which DHPLC is becoming the leading technology.

Entities:  

Mesh:

Substances:

Year:  2003        PMID: 12747586     DOI: 10.1515/CCLM.2003.068

Source DB:  PubMed          Journal:  Clin Chem Lab Med        ISSN: 1434-6621            Impact factor:   3.694


  13 in total

1.  Use of denaturing high-performance liquid chromatography for rapid detection and identification of seven Candida species.

Authors:  Oliver Goldenberg; Stefanie Herrmann; Thomas Adam; Gina Marjoram; George Hong; Ulf B Göbel; Barbara Graf
Journal:  J Clin Microbiol       Date:  2005-12       Impact factor: 5.948

2.  Application of denaturing high-performance liquid chromatography in microbial ecology: fermentor sludge, compost, and soil community profiling.

Authors:  Andreas Otto Wagner; Cornelia Malin; Paul Illmer
Journal:  Appl Environ Microbiol       Date:  2008-12-16       Impact factor: 4.792

3.  Genotyping of macrophage migration inhibitory factor (MIF) CATT₅₋₈ repeat polymorphism by denaturing high-performance liquid chromatography (DHPLC).

Authors:  Michele Benigni; Stefania Battistini; Claudia Ricci
Journal:  Mol Biotechnol       Date:  2013-07       Impact factor: 2.695

4.  Validation of dot blot hybridization and denaturing high performance liquid chromatography as reliable methods for TP53 codon 72 genotyping in molecular epidemiologic studies.

Authors:  Tatiana Rabachini; Helen Trottier; Eduardo L Franco; Luisa L Villa
Journal:  BMC Genet       Date:  2010-05-26       Impact factor: 2.797

5.  Potential involvement of GRIN2B encoding the NMDA receptor subunit NR2B in the spectrum of Alzheimer's disease.

Authors:  Virginia Andreoli; Elvira Valeria De Marco; Francesca Trecroci; Rita Cittadella; Gemma Di Palma; Antonio Gambardella
Journal:  J Neural Transm (Vienna)       Date:  2013-12-01       Impact factor: 3.575

6.  Patterns of concerted evolution of the rDNA family in a natural population of Zhikong scallop, Chlamys farreri.

Authors:  Shi Wang; Lingling Zhang; Aibin Zhan; Xiaolong Wang; Zhanjiang Liu; Jingjie Hu; Zhenmin Bao
Journal:  J Mol Evol       Date:  2007-11-01       Impact factor: 2.395

7.  A comparison of CDKN2A mutation detection within the Melanoma Genetics Consortium (GenoMEL).

Authors:  Mark Harland; Alisa M Goldstein; Kairen Kukalizch; Claire Taylor; David Hogg; Susana Puig; Celia Badenas; Nelleke Gruis; Jeanet ter Huurne; Wilma Bergman; Nicholas K Hayward; Mitchell Stark; Hensin Tsao; Margaret A Tucker; Maria Teresa Landi; Giovanna Bianchi Scarra; Paola Ghiorzo; Peter A Kanetsky; David Elder; Graham J Mann; Elizabeth A Holland; D Timothy Bishop; Julia Newton Bishop
Journal:  Eur J Cancer       Date:  2008-04-03       Impact factor: 9.162

8.  Wilms' tumor 1 gene mutations independently predict poor outcome in adults with cytogenetically normal acute myeloid leukemia: a cancer and leukemia group B study.

Authors:  Peter Paschka; Guido Marcucci; Amy S Ruppert; Susan P Whitman; Krzysztof Mrózek; Kati Maharry; Christian Langer; Claudia D Baldus; Weiqiang Zhao; Bayard L Powell; Maria R Baer; Andrew J Carroll; Michael A Caligiuri; Jonathan E Kolitz; Richard A Larson; Clara D Bloomfield
Journal:  J Clin Oncol       Date:  2008-06-16       Impact factor: 44.544

9.  Mutation analysis of FANCD2, BRIP1/BACH1, LMO4 and SFN in familial breast cancer.

Authors:  Aaron G Lewis; James Flanagan; Anna Marsh; Gulietta M Pupo; Graham Mann; Amanda B Spurdle; Geoffrey J Lindeman; Jane E Visvader; Melissa A Brown; Georgia Chenevix-Trench
Journal:  Breast Cancer Res       Date:  2005-10-21       Impact factor: 6.466

10.  A multi-parametric workflow for the prioritization of mitochondrial DNA variants of clinical interest.

Authors:  Mariangela Santorsola; Claudia Calabrese; Giulia Girolimetti; Maria Angela Diroma; Giuseppe Gasparre; Marcella Attimonelli
Journal:  Hum Genet       Date:  2015-11-30       Impact factor: 4.132

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.