Identification of suitable endogenous control genes for microRNA gene expression analysis in human breast cancer.
Identification of suitable endogenous control genes for microRNA gene expression analysis in human breast cancer.
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DOI:
10.1186/1471-2199-9-76
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发表时间:
2008-08-21
影响因子:
--
通讯作者:
Miller, Nicola
中科院分区:
文献类型:
--
作者:
Davoren, Pamela A.;McNeill, Roisin E.;Lowery, Aoife J.;Kerin, Michael J.;Miller, Nicola
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.
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影响因子:
14.9
作者:
Chen C;Ridzon DA;Broomer AJ;Zhou Z;Lee DH;Nguyen JT;Barbisin M;Xu NL;Mahuvakar VR;Andersen MR;Lao KQ;Livak KJ;Guegler KJ
通讯作者:
Guegler KJ
影响因子:
14.9
作者:
Griffiths-Jones, S
通讯作者:
Griffiths-Jones, S
影响因子:
5.3
作者:
Galardi, S;Fatica, A;Bozzoni, I
通讯作者:
Bozzoni, I
DOI:
10.1186/bcr1789
发表时间:
2007
期刊:
Breast cancer research : BCR
影响因子:
--
作者:
Chang XZ;Li DQ;Hou YF;Wu J;Lu JS;Di GH;Jin W;Ou ZL;Shen ZZ;Shao ZM
通讯作者:
Shao ZM
影响因子:
14.9
作者:
Griffiths-Jones S;Grocock RJ;van Dongen S;Bateman A;Enright AJ
通讯作者:
Enright AJ