Table 2. qPCR parameters providing the standard curve for each primer pair on 12 reference genes.
| Gene | Slope | Intercept | Efficiency | R2 | Dilution range |
| HSPCB | −3.250 | 20.09 | 103.1 | 0.998 | 1 pg-100 ng |
| GAPDH | −3.680 | 19.56 | 87.1 | 0.996 | 1 pg-100 ng |
| YWHAZ | −3.294 | 20.35 | 101.2 | 0.998 | 1 pg-100 ng |
| SDHA | −3.194 | 24.64 | 105.6 | 0.994 | 1 pg-100 ng |
| RPII | −3.157 | 23.72 | 107.4 | 0.998 | 10 pg-100 ng |
| PPIA | −3.251 | 20.09 | 103.1 | 0.998 | 1 pg-100 ng |
| GUSB | −3.213 | 25.81 | 104.7 | 0.999 | 10 pg-10 ng |
| 18sRNA | −3.411 | 11.10 | 96.4 | 0.999 | 1 pg-10 ng |
| RPS13 | −3.214 | 20.74 | 104.7 | 0.994 | 1 pg-100 ng |
| HPRT1 | −3.173 | 23.66 | 106.6 | 0.997 | 1 pg-100 ng |
| TBP | −3.582 | 25.79 | 90.2 | 0.996 | 1 pg-100 ng |
| B4GALT6 | −3.181 | 27.30 | 106.3 | 0.995 | 10 pg-100 ng |
Relationship between Cq values and RNA concentration was calculated by linear regression to find a slope and intercept that predicts cDNA amounts and correlation coefficient (R2). QPCR efficiencies (E) were calculated based on the standard curve according to the equation [E = 10(−1/slope)−1]×100 and are expressed as a percentage.