%0 Journal Article
%T Identification of suitable endogenous control genes for microRNA expression profiling of childhood medulloblastoma and human neural stem cells
%A Laura A Genovesi
%A Denise Anderson
%A Kim W Carter
%A Keith M Giles
%A Peter B Dallas
%J BMC Research Notes
%D 2012
%I BioMed Central
%R 10.1186/1756-0500-5-507
%X Expression profiling of 662 miRNAs and six small nuclear/ nucleolar RNAs in primary human MB specimens, two CD133+ neural stem cell (NSC) populations and two CD133- neural progenitor cell (NPC) populations was performed using TaqMan low-density array (TLDA) cards. Minimal intra-card variability for candidate EC reference gene replicates was observed, however significant inter-card variability was identified between replicates present on both TLDA cards A and B. A panel of 18 potentially suitable EC reference genes was identified for the normalisation of miRNA expression on TLDA cards. These candidates were not significantly differentially expressed between CD133+ NSCs/ CD133- NPCs and primary MB specimens. Of the six sn/snoRNA EC reference genes recommended by the manufacturer, only RNU44 was uniformly expressed between primary MB specimens and CD133+ NSC/CD133- NPC populations (P£¿=£¿0.709; FC£¿=£¿1.02). The suitability of candidate EC reference genes was assessed using geNorm and NormFinder software, with hsa-miR-301a and hsa-miR-339-5p found to be the most uniformly expressed EC reference genes on TLDA card A and hsa-miR-425* and RNU24 for TLDA card B.A panel of 18 potential EC reference genes that were not significantly differentially expressed between CD133+ NSCs/ CD133- NPCs and primary human MB specimens was identified. The top ranked EC reference genes described here should be validated in a larger cohort of specimens to verify their utility as controls for the normalisation of RT-qPCR data generated in MB miRNA expression studies. Importantly, inter-card variability observed between replicates of certain candidate EC reference genes has major implications for the accurate normalisation of miRNA expression data obtained using the miRNA TLDA platform.Medulloblastoma (MB) is the most common malignant paediatric brain tumour, and a major cause of childhood cancer related morbidity and mortality [1]. Several molecular subtypes of MB have been identified on the basis
%K MicroRNA
%K Medulloblastoma
%K Neural stem cells
%K Gene expression profiling
%K Quantitative RT-PCR
%U http://www.biomedcentral.com/1756-0500/5/507