Detecting differential allelic expression using high-resolution melting curve analysis: application to the breast cancer susceptibility gene CHEK2

<p>Abstract</p> <p>Background</p> <p>The gene <it>CHEK2 </it>encodes a checkpoint kinase playing a key role in the DNA damage pathway. Though <it>CHEK2 </it>has been identified as an intermediate breast cancer susceptibility gene, only a small pr...

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Main Authors: Sinilnikova Olga, McKay-Chopin Sandrine, Forey Nathalie, Michelon Jocelyne, Jordheim Lars P, Nguyen-Dumont Tú, Le Calvez-Kelm Florence, Southey Melissa C, Tavtigian Sean V, Lesueur Fabienne
Format: Article
Language:English
Published: BMC 2011-05-01
Series:BMC Medical Genomics
Online Access:http://www.biomedcentral.com/1755-8794/4/39
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author Sinilnikova Olga
McKay-Chopin Sandrine
Forey Nathalie
Michelon Jocelyne
Jordheim Lars P
Nguyen-Dumont Tú
Le Calvez-Kelm Florence
Southey Melissa C
Tavtigian Sean V
Lesueur Fabienne
author_facet Sinilnikova Olga
McKay-Chopin Sandrine
Forey Nathalie
Michelon Jocelyne
Jordheim Lars P
Nguyen-Dumont Tú
Le Calvez-Kelm Florence
Southey Melissa C
Tavtigian Sean V
Lesueur Fabienne
author_sort Sinilnikova Olga
collection DOAJ
description <p>Abstract</p> <p>Background</p> <p>The gene <it>CHEK2 </it>encodes a checkpoint kinase playing a key role in the DNA damage pathway. Though <it>CHEK2 </it>has been identified as an intermediate breast cancer susceptibility gene, only a small proportion of high-risk families have been explained by genetic variants located in its coding region. Alteration in gene expression regulation provides a potential mechanism for generating disease susceptibility. The detection of differential allelic expression (DAE) represents a sensitive assay to direct the search for a functional sequence variant within the transcriptional regulatory elements of a candidate gene. We aimed to assess whether <it>CHEK2 </it>was subject to DAE in lymphoblastoid cell lines (LCLs) from high-risk breast cancer patients for whom no mutation in <it>BRCA1</it> or <it>BRCA2</it> had been identified.</p> <p>Methods</p> <p>We implemented an assay based on high-resolution melting (HRM) curve analysis and developed an analysis tool for DAE assessment.</p> <p>Results</p> <p>We observed allelic expression imbalance in 4 of the 41 LCLs examined. All four were carriers of the truncating mutation 1100delC. We confirmed previous findings that this mutation induces non-sense mediated mRNA decay. In our series, we ruled out the possibility of a functional sequence variant located in the promoter region or in a regulatory element of <it>CHEK2 </it>that would lead to DAE in the transcriptional regulatory milieu of freely proliferating LCLs.</p> <p>Conclusions</p> <p>Our results support that HRM is a sensitive and accurate method for DAE assessment. This approach would be of great interest for high-throughput mutation screening projects aiming to identify genes carrying functional regulatory polymorphisms.</p>
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spelling doaj.art-3eff200091044fa2a7177354845cac222022-12-21T20:06:33ZengBMCBMC Medical Genomics1755-87942011-05-01413910.1186/1755-8794-4-39Detecting differential allelic expression using high-resolution melting curve analysis: application to the breast cancer susceptibility gene CHEK2Sinilnikova OlgaMcKay-Chopin SandrineForey NathalieMichelon JocelyneJordheim Lars PNguyen-Dumont TúLe Calvez-Kelm FlorenceSouthey Melissa CTavtigian Sean VLesueur Fabienne<p>Abstract</p> <p>Background</p> <p>The gene <it>CHEK2 </it>encodes a checkpoint kinase playing a key role in the DNA damage pathway. Though <it>CHEK2 </it>has been identified as an intermediate breast cancer susceptibility gene, only a small proportion of high-risk families have been explained by genetic variants located in its coding region. Alteration in gene expression regulation provides a potential mechanism for generating disease susceptibility. The detection of differential allelic expression (DAE) represents a sensitive assay to direct the search for a functional sequence variant within the transcriptional regulatory elements of a candidate gene. We aimed to assess whether <it>CHEK2 </it>was subject to DAE in lymphoblastoid cell lines (LCLs) from high-risk breast cancer patients for whom no mutation in <it>BRCA1</it> or <it>BRCA2</it> had been identified.</p> <p>Methods</p> <p>We implemented an assay based on high-resolution melting (HRM) curve analysis and developed an analysis tool for DAE assessment.</p> <p>Results</p> <p>We observed allelic expression imbalance in 4 of the 41 LCLs examined. All four were carriers of the truncating mutation 1100delC. We confirmed previous findings that this mutation induces non-sense mediated mRNA decay. In our series, we ruled out the possibility of a functional sequence variant located in the promoter region or in a regulatory element of <it>CHEK2 </it>that would lead to DAE in the transcriptional regulatory milieu of freely proliferating LCLs.</p> <p>Conclusions</p> <p>Our results support that HRM is a sensitive and accurate method for DAE assessment. This approach would be of great interest for high-throughput mutation screening projects aiming to identify genes carrying functional regulatory polymorphisms.</p>http://www.biomedcentral.com/1755-8794/4/39
spellingShingle Sinilnikova Olga
McKay-Chopin Sandrine
Forey Nathalie
Michelon Jocelyne
Jordheim Lars P
Nguyen-Dumont Tú
Le Calvez-Kelm Florence
Southey Melissa C
Tavtigian Sean V
Lesueur Fabienne
Detecting differential allelic expression using high-resolution melting curve analysis: application to the breast cancer susceptibility gene CHEK2
BMC Medical Genomics
title Detecting differential allelic expression using high-resolution melting curve analysis: application to the breast cancer susceptibility gene CHEK2
title_full Detecting differential allelic expression using high-resolution melting curve analysis: application to the breast cancer susceptibility gene CHEK2
title_fullStr Detecting differential allelic expression using high-resolution melting curve analysis: application to the breast cancer susceptibility gene CHEK2
title_full_unstemmed Detecting differential allelic expression using high-resolution melting curve analysis: application to the breast cancer susceptibility gene CHEK2
title_short Detecting differential allelic expression using high-resolution melting curve analysis: application to the breast cancer susceptibility gene CHEK2
title_sort detecting differential allelic expression using high resolution melting curve analysis application to the breast cancer susceptibility gene chek2
url http://www.biomedcentral.com/1755-8794/4/39
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