Table 5.
Two-way ANOVA of the data shown in Figure 6 (pENK, pOMC, and PDYN KO mice) and Figure 7 (MOR internalization)
| Row | Figure | Experiment | n | Variable 1 | Variable 2 | Interaction | Subject matching |
|---|---|---|---|---|---|---|---|
| 1 | 6A | pENK KO, CFA | KO: 10 | Time (CFA) | Genotype | p = 0.83 | p = 0.0093 |
| WT: 5 | p < 0.0001 | p = 0.048 | F(6,78) = 0.47 | F(13,78) = 2.39 | |||
| F(6,78) = 9.52 | F(1,13) = 4.78 | ||||||
| 2 | — | pENK KO, baseline | KO: 10 | Time | Genotype | p = 0.18 | p = 0.0006 |
| WT: 5 | p = 0.49 | p = 0.48 | F(3,39) = 1.70 | F(13,39) = 3.77 | |||
| F(3,39) = 0.81 | F(1,13) = 0.53 | ||||||
| 3 | 6B | pENK KO, NTX | KO: 10 | Time (NTX) | Genotype | p = 0.88 | p = 0.014 |
| WT: 5 | p < 0.0001 | p = 0.229 | F(3,39) = 0.23 | F(13,39) = 2.48 | |||
| F(3,39) = 0.23 | F(1,13) = 1.59 | ||||||
| 4 | 6C | pOMC KO, CFA | KO: 4 | Time (CFA) | Genotype | p = 0.68 | p = 0.016 |
| WT: 5 | p < 0.0001 | p = 0.99 | F(7,49) = 0.69 | F(7,49) = 2.79 | |||
| F(7,49) = 7.7 | F(1,7) = 0.00001 | ||||||
| 5 | — | pOMC KO, baseline | KO: 4 | Time | Genotype | p = 0.06 | p < 0.0001 |
| WT: 5 | p = 0.58 | p = 0.91 | F(9,36) = 2.0 | F(12,36) = 4.91 | |||
| F(3,36) = 0.66 | F(3,12) = 0.18 | ||||||
| 6 | 6D | pOMC KO, NTX | KO: 4 | Time (NTX) | Genotype | p = 0.67 | p = 0.04 |
| WT: 5 | p < 0.0001 | p = 0.23 | F(4,28) = 0.59 | F(7,28) = 2.48 | |||
| F(4,28) = 8.8 | F(1,7) = 1.69 | ||||||
| 7 | 6E | pDYN KO, CFA | KO: 8 | Time (CFA) | Genotype | p = 0.51 | p < 0.0001 |
| WT: 8 | p < 0.0001 | p = 0.037 | F(8,112) = 0.91 | F(14,112) = 5.38 | |||
| F(8,112) = 11.38 | F(1,14) = 5.34 | ||||||
| 8 | — | pDYN, baseline | KO: 8 | Time | Genotype | p = 0.51 | p = 0.79 |
| WT: 8 | p = 0.16 | p = 0.0069 | F(2,28) = 0.68 | F(14,28) = 0.66 | |||
| F(2,28) = 1.94 | F(1,14) = 10.0 | ||||||
| 9 | 6F | pDYN KO, NTX | KO: 8 | Time (NTX) | Genotype | p = 0.25 | p < 0.0001 |
| WT: 8 | p < 0.0001 | p = 0.45 | F(5,70) = 1.37 | F(14,70) = 6.40 | |||
| F(5,70) = 9.47 | F(1,14) = 0.61 | ||||||
| 10 | 6G | pDYN KO, JDTic | KO: 8 | Time (JDTic) | Genotype | p = 0.91 | p < 0.0001 |
| WT: 8 | p < 0.0001 | p = 0.55 | F(2,26) = 0.096 | F(13,26) = 6.90 | |||
| F(2,26) = 14.60 | F(1,13) = 0.38 | ||||||
| 11 | 7A | Rats CFA | 6 | Time (CFA) | Side | p < 0.0001 | p < 0.0001 |
| p < 0.0001 | p = 0.0007 | F(7,70) = 17.4 | F(10,70) = 5.98 | ||||
| F(7,70) = 20.2 | F(1,10) = 23.4 | ||||||
| 12 | 7B | Rats NTX | 6 | Time (NTX) | Side | p = 0.39 | p < 0.0001 |
| p < 0.0001 | p = 0.92 | F(8,80) = 14.9 | F(10,80) = 4.7 | ||||
| F(8,80) = 14.9 | F(1,10) = 0.01 |
Each panel in Figure 6 or 7 (indicated in the second column) was analyzed independently by two-way ANOVA except for rows 2, 5, and 8 which are baseline data obtained before the CFA injection. In the fourth column, n is the number of animals in the experiment (KO or their WT littermates). In the fifth and sixth columns, the variable is identified first: “time” refers to the time after the injection of the compound in parentheses; “genotype” is KO versus WT, and “side” is ipsilateral versus contralateral paw. Subscript numbers in the F ratio are the degrees of freedom and the residual.