Skip to Main content Skip to Navigation
Journal articles

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

Abstract : BACKGROUND: The gene CHEK2 encodes a checkpoint kinase playing a key role in the DNA damage pathway. Though CHEK2 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 CHEK2 was subject to DAE in lymphoblastoid cell lines (LCLs) from high-risk breast cancer patients for whom no mutation in BRCA1 or BRCA2 had been identified. METHODS: We implemented an assay based on high-resolution melting (HRM) curve analysis and developed an analysis tool for DAE assessment. RESULTS: 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 CHEK2 that would lead to DAE in the transcriptional regulatory milieu of freely proliferating LCLs. CONCLUSIONS: 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.
Document type :
Journal articles
Complete list of metadatas

https://www.hal.inserm.fr/inserm-00663661
Contributor : Ed. Bmc <>
Submitted on : Friday, January 27, 2012 - 2:00:53 PM
Last modification on : Tuesday, November 19, 2019 - 2:37:30 AM
Long-term archiving on: : Monday, November 19, 2012 - 3:01:38 PM

Identifiers

Collections

Citation

Tú Nguyen-Dumont, Lars Jordheim, Jocelyne Michelon, Nathalie Forey, Sandrine Mckay-Chopin, et al.. Detecting differential allelic expression using high-resolution melting curve analysis: application to the breast cancer susceptibility gene CHEK2.. BMC Medical Genomics, BioMed Central, 2011, 4 (1), pp.39. ⟨10.1186/1755-8794-4-39⟩. ⟨inserm-00663661⟩

Share

Metrics

Record views

315

Files downloads

450