2015
DOI: 10.1186/s12864-015-1274-1
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Simple regression for correcting ΔCt bias in RT-qPCR low-density array data normalization

Abstract: BackgroundReverse transcription quantitative PCR (RT-qPCR) is considered the gold standard for quantifying relative gene expression. Normalization of RT-qPCR data is commonly achieved by subtracting the Ct values of the internal reference genes from the Ct values of the target genes to obtain ΔCt. ΔCt values are then used to derive ΔΔCt when compared to a control group or to conduct further statistical analysis.ResultsWe examined two rheumatoid arthritis RT-qPCR low density array datasets and found that this n… Show more

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Cited by 19 publications
(17 citation statements)
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“…com/pebiodocs/00113186.pdf). This was validated by linear regression with Gapdh as the reference gene (Cui et al 2015) with adjustment for sample group (included as an additional independent variable). The expression of the remaining genes is presented as 2…”
Section: Rna Extraction and Rt-qpcrmentioning
confidence: 99%
“…com/pebiodocs/00113186.pdf). This was validated by linear regression with Gapdh as the reference gene (Cui et al 2015) with adjustment for sample group (included as an additional independent variable). The expression of the remaining genes is presented as 2…”
Section: Rna Extraction and Rt-qpcrmentioning
confidence: 99%
“…Expression values of target genes are traditionally corrected to the expression of the control gene using a ΔCt approach, but this assumes that the expression of the control gene is kept constant across conditions. Since our experiment is likely to influence overall homeostasis, and therefore impact control gene expression, we obtained normalized Ct values using the method of Cui et al . (2015): normalized value = target_Ct value – ( b x control_Ct value) where b is the regression coefficient of the linear regression of mean CYP2J19 Ct values on mean β-actin Ct values.…”
Section: Methodsmentioning
confidence: 99%
“…All PCRs were performed in triplicate, and the specificity of the reactions was detected by melting-curve analysis at the dissociation stage. Each target gene was comparatively quantified based on cycle threshold (CT) normalized to GhGAPDH, using the DDCT method (Cui et al, 2015).…”
Section: Rna Extraction and Real-time Quantitative Polymerase Chain Rmentioning
confidence: 99%