Table 1 Establishment of the mathematical models for 4 °C PMI estimation by semi-quantitative RT-PCR.
Temperature | circRNA | Reference gene | Equation | R2 | P | |
|---|---|---|---|---|---|---|
4 °C | circFat3 | mt-co1 | Linear | Y = -0.04098X + 0.8063 | 0.8604 | 0.0026 |
Quadratic | Y = 0.8749–0.08176X + 0.002626X2 | 0.9208 | 0.0063 | |||
Cubic | Y = 0.9429–0.1633X + 0.01646X2-0.0005742X3 | 0.9724 | 0.0077 | |||
28S rRNA | Linear | Y = -0.04774X + 1.017 | 0.9900 | 0.0000 | ||
Quadratic | Y = 1.025–0.05209X + 0.0002798X2 | 0.9906 | 0.0001 | |||
Cubic | Y = 0.9955–0.01731X-0.005624X2 + 0.0002451X3 | 0.9986 | 0.0001 | |||
mt-co1/28S rRNA | Linear | Y = -0.04436X + 0.9118 | 0.9705 | 0.0001 | ||
Quadratic | Y = 0.9497–0.06693X + 0.001453X2 | 0.9883 | 0.0001 | |||
Cubic | Y = 0.9692–0.09028X + 0.005417X2-0.0001646X3 | 0.9924 | 0.0011 |