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Identification of suitable endogenous control genes for microRNA gene expression analysis in human breast cancer

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dc.contributor.author Davoren, Pamela A.
dc.contributor.author McNeill, Roisin E.
dc.contributor.author Lowery, Aoife J.
dc.contributor.author Kerin, Michael J.
dc.contributor.author Miller, Nicola
dc.date.accessioned 2016-04-22T15:30:51Z
dc.date.available 2016-04-22T15:30:51Z
dc.date.issued 2008
dc.identifier.uri http://hdl.handle.net/10344/5030
dc.description peer-reviewed en_US
dc.description.abstract The discovery of microRNAs (miRNAs) added an extra level of intricacy to the already complex system regulating gene expression. These single-stranded RNA molecules, 18–25 nucleotides in length, negatively regulate gene expression through translational inhibition or mRNA cleavage. The discovery that aberrant expression of specific miRNAs contributes to human disease has fueled much interest in profiling the expression of these molecules. Real-time quantitative PCR (RQ-PCR) is a sensitive and reproducible gene expression quantitation technique which is now being used to profile miRNA expression in cells and tissues. To correct for systematic variables such as amount of starting template, RNA quality and enzymatic efficiencies, RQ-PCR data is commonly normalised to an endogenous control (EC) gene, which ideally, is stably-expressed across the test sample set. A universal endogenous control suitable for every tissue type, treatment and disease stage has not been identified and is unlikely to exist, so, to avoid introducing further error in the quantification of expression data it is necessary that candidate ECs be validated in the samples of interest. While ECs have been validated for quantification of mRNA expression in various experimental settings, to date there is no report of the validation of miRNA ECs for expression profiling in breast tissue. In this study, the expression of five miRNA genes (let-7a, miR-10b, miR-16, miR-21 and miR-26b) and three small nucleolar RNA genes (RNU19, RNU48 and Z30) was examined across malignant, benign and normal breast tissues to determine the most appropriate normalisation strategy. This is the first study to identify reliable ECs for analysis of miRNA by RQ-PCR in human breast tissue. en_US
dc.language.iso eng en_US
dc.publisher BioMed Central en_US
dc.relation.ispartofseries BMC Molecular Biology;9, 76
dc.subject microRNAs en_US
dc.subject breast cancer en_US
dc.title Identification of suitable endogenous control genes for microRNA gene expression analysis in human breast cancer en_US
dc.type info:eu-repo/semantics/article en_US
dc.type.supercollection all_ul_research en_US
dc.type.supercollection ul_published_reviewed en_US
dc.rights.accessrights info:eu-repo/semantics/openAccess en_US


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