Simple detection of large InDeLS by DHPLC: the ACE gene as a model

Simple detection of large InDeLS by DHPLC: the ACE gene as a model

Author Koyama, Renata Guedes Autor UNIFESP Google Scholar
Castro, Rosa M. R. P. S. Autor UNIFESP Google Scholar
De Mello, Marco Tulio Autor UNIFESP Google Scholar
Tufik, Sergio Autor UNIFESP Google Scholar
Pedrazzoli, Mario Autor UNIFESP Google Scholar
Institution Universidade Federal de São Paulo (UNIFESP)
Abstract Insertion-deletion polymorphism (InDeL) is the second most frequent type of genetic variation in the human genome. for the detection of large InDeLs, researchers usually resort to either PCR gel analysis or RFLP, but these are time consuming and dependent on human interpretation. Therefore, a more efficient method for genotyping this kind of genetic variation is needed. in this report, we describe a method that can detect large InDeLs by DHPLC (denaturating high-performance liquid chromatography) using the angiotensin-converting enzyme (ACE) gene I/D polymorphism as a model. the InDeL targeted in this study is characterized by a 288 bp Alu element insertion (I). We used DHPLC at nondenaturating conditions to analyze the PCR product with a flow through the chromatographic column under two different gradients based on the differences between D and I sequences. the analysis described is quick and easy, making this technique a suitable and e. cient means for DHPLC users to screen InDeLs in genetic epidemiological studies. Copyright (C) 2008 Renata Guedes Koyama et al.
Language English
Date 2008-01-01
Published in Journal of Biomedicine and Biotechnology. New York: Hindawi Publishing Corporation, 5 p., 2008.
ISSN 1110-7243 (Sherpa/Romeo, impact factor)
Publisher Hindawi Publishing Corporation
Extent 5
Origin http://dx.doi.org/10.1155/2008/562183
Access rights Open access Open Access
Type Article
Web of Science ID WOS:000255757900001
URI http://repositorio.unifesp.br/handle/11600/30240

Show full item record




File

Name: WOS000255757900001.pdf
Size: 1.393Mb
Format: PDF
Description:
Open file

This item appears in the following Collection(s)

Search


Browse

Statistics

My Account