6533b855fe1ef96bd12b0aa1

RESEARCH PRODUCT

Selection of suitable housekeeping genes for expression analysis in glioblastoma using quantitative RT-PCR

Valeria ValenteLuciano NederCarlos Gilberto CarlottiSueli Mieko Oba-shinjoSilvia A. TeixeiraSuely Kazue Nagahashi MarieCarlos Alberto ScrideliMaria Luísa Paço-larsonOswaldo Keith Okamoto

subject

Hypoxanthine PhosphoribosyltransferaseCell typeLung Neoplasmslcsh:QH426-470Journal ClubCellGene ExpressionComputational biologyBiologyBioinformaticsModels BiologicalVariable ExpressionReference genesExpression analysisGene expressionmedicineHumansStudent’s Sectionlcsh:QH573-671Molecular BiologyGeneSelection (genetic algorithm)GeneticsRegulation of gene expressionGenes Essentiallcsh:CytologyBrain NeoplasmsReverse Transcriptase Polymerase Chain ReactionMethodology ArticleGeneral NeuroscienceReference StandardsTATA-Box Binding Proteinmedicine.diseaseHousekeeping geneDNA-Binding ProteinsGene Expression Regulation Neoplasticlcsh:GeneticsNEOPLASIAS DO SISTEMA NERVOSOReal-time polymerase chain reactionmedicine.anatomical_structureGlioblastomaGlioblastoma

description

Abstract Background Considering the broad variation in the expression of housekeeping genes among tissues and experimental situations, studies using quantitative RT-PCR require strict definition of adequate endogenous controls. For glioblastoma, the most common type of tumor in the central nervous system, there was no previous report regarding this issue. Results Here we show that amongst seven frequently used housekeeping genes TBP and HPRT1 are adequate references for glioblastoma gene expression analysis. Evaluation of the expression levels of 12 target genes utilizing different endogenous controls revealed that the normalization method applied might introduce errors in the estimation of relative quantities. Genes presenting expression levels which do not significantly differ between tumor and normal tissues can be considered either increased or decreased if unsuitable reference genes are applied. Most importantly, genes showing significant differences in expression levels between tumor and normal tissues can be missed. We also demonstrated that the Holliday Junction Recognizing Protein, a novel DNA repair protein over expressed in lung cancer, is extremely over-expressed in glioblastoma, with a median change of about 134 fold. Conclusion Altogether, our data show the relevance of previous validation of candidate control genes for each experimental model and indicate TBP plus HPRT1 as suitable references for studies on glioblastoma gene expression.

https://doi.org/10.5214/ans.0972.7531.210207