title: Gene expression of HIF-1alpha and XRCC4 measured in human samples by real-time RT-PCR using the sigmoidal curve-fitting method.
abstract: Quantitative reverse transcription PCR (RT-PCR) has become an important tool for studying functional gene expression. However the most often used cycle threshold (CT)-based method, primarily related to the required amplification efficiency determination via serial dilution, can call into question the level of quantitative reliability and accuracy that can be achieved, in addition to the impracticalities inherent to CT-based methodologies. In this study, an alternative method, named the sigmoidal curve-fitting (SCF) method, was compared with the classic CT method for two target genes (XRCC4 and HIF-1alpha) and a reference gene (HPRT). The PCR conditions were optimized for each gene on a LightCycler apparatus. Fluorescence data were fitted to a four-parametric sigmoidal function, and the initial messenger RNA (mRNA) copy number was determined by a theoretical fluorescence (F0) value calculated from each fitting curve. The relative expression of the target gene versus that of the reference gene was calculated using an equation based upon these F0 values. The results show that the F0 value had a good linearity with the initial number of target genes between 10(7) and 10(1) copies. The reproducibility tests showed that the variations of initial target quantity were well reflected by F0 values. Relative expression of target gene calculated by the SCF method and by the CT method showed similar results. In our hands, the SCF method gave reliable results and a more precise error description of quantitative RT-PCR.
authors: Université de Limoges, Limoges, France.
authors: Hao
authors: H
authors: Qiu
authors: Karine
authors: K
authors: Durand
authors: Hélène
authors: H
authors: Rabinovitch-Chable
authors: Michel
authors: M
authors: Rigaud
authors: Virgile
authors: V
authors: Gazaille
authors: Pierre
authors: P
authors: Clavère
authors: Franck G
authors: FG
authors: Sturtz
mesh_terms: D001709:Biotechnology / Q000379:methods; D045744:Cell Line, Tumor; D017931:DNA Primers / Q000737:chemistry; D018076:DNA, Complementary / Q000378:metabolism; D004268:DNA-Binding Proteins / Q000096:biosynthesis*; D003627:Data Interpretation, Statistical; D005786:Gene Expression Regulation; D006801:Humans; D051795:Hypoxia-Inducible Factor 1, alpha Subunit / Q000096:biosynthesis*; D015233:Models, Statistical; D016133:Polymerase Chain Reaction; D012333:RNA, Messenger / Q000378:metabolism; D020133:Reverse Transcriptase Polymerase Chain Reaction / Q000379:methods*; D014158:Transcription, Genetic
chemical_list: D017931:DNA Primers; D018076:DNA, Complementary; D004268:DNA-Binding Proteins; C497442:HIF1A protein, human; D051795:Hypoxia-Inducible Factor 1, alpha Subunit; D012333:RNA, Messenger; C101467:XRCC4 protein, human