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Figure 3 | Genome Biology

Figure 3

From: Global transcriptome analysis of murine embryonic stem cell-derived cardiomyocytes

Figure 3

Validation of Affymetrix data by quantitative real-time PCR and semi-quantitative PCR analyses. (a) Validation of Affymetrix data by quantitative real-time polymerase chain reaction (PCR) analyses. The fold change was calculated by using the following formula: fold-change = 2 ( Δ C t gene 1 Δ C t gene 2 ) MathType@MTEF@5@5@+=feaafiart1ev1aaatCvAUfeBSjuyZL2yd9gzLbvyNv2Caerbhv2BYDwAHbqedmvETj2BSbqee0evGueE0jxyaibaiKI8=vI8tuQ8FMI8Gi=hEeeu0xXdbba9frFj0=OqFfea0dXdd9vqai=hGuQ8kuc9pgc9s8qqaq=dirpe0xb9q8qiLsFr0=vr0=vr0dc8meaabaqaciGacaGaaeqabaqadeqadaaakeaacaaIYaWaaWbaaSqabeaacqGHsislcaGGOaGaeuiLdqKaae4qamaaBaaameaacaqG0baabeaaliaabEgacaqGLbGaaeOBaiaabwgacaaIXaGaeyOeI0IaeuiLdqKaae4qamaaBaaameaacaqG0baabeaaliaabEgacaqGLbGaaeOBaiaabwgacaaIYaGaaiykaaaaaaa@46CC@ . ΔCt of the gene in the sample in which it is expressed lowest is taken as ΔCt gene2 to calculate the fold change using the above formula. The resulting fold change is expressed as percentage of the maximum fold change (= 100%) for that particular gene in every assay. Values are expressed as mean ± standard deviation (n = 3; technical replicates). (b) Additional validation of Affymetrix data by semi-quantitative reverse transcription (RT)-PCR analyses. Randomly chosen candidate genes to validate Affymetrix data by semi-quantitiative RT-PCR analyses and their relative expression values expressed as percentage of maximum expression for every gene, as obtained from Affymetrix profiling, are given in the table.

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